Model parameters: d_model 640 ffw_size 2560 kv_size 64 n_heads 10 n_layers 10
Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 10 --hidden-size 640 --num-attention-heads 10 --kv-channels 64 --ffn-hidden-size 2560 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 9_703_701 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-83slr --bf16 --checkpoint-activations --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-5 --min-lr 2e-6 --lr-decay-style cosine --lr-decay-samples 9_703_701 --lr-warmup-samples 97_037 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_83slr --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_83slr --load checkpoints_83slr --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2077586.json --zero-stage 0
START 2077586: Mon Nov 28 15:09:23 EET 2022
0: 
0: 
0: ======================= ROCm System Management Interface =======================
0: ================================= Concise Info =================================
0: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
0: 0    44.0c  95.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
0: 1    44.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
0: 2    41.0c  91.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
0: 3    43.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
0: 4    38.0c  88.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
0: 5    41.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
0: 6    40.0c  91.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
0: 7    41.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
0: ================================================================================
0: ============================= End of ROCm SMI Log ==============================
6: 
6: 
6: ======================= ROCm System Management Interface =======================
6: ================================= Concise Info =================================
6: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
6: 0    47.0c  90.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
6: 1    47.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
6: 2    43.0c  84.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
6: 3    43.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
6: 4    44.0c  89.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
6: 5    44.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
6: 6    41.0c  90.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
6: 7    42.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
6: ================================================================================
6: ============================= End of ROCm SMI Log ==============================
4: 
4: 
4: ======================= ROCm System Management Interface =======================
4: ================================= Concise Info =================================
4: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
4: 0    47.0c  93.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
4: 1    44.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
4: 2    41.0c  81.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
4: 3    49.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
4: 4    39.0c  90.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
4: 5    47.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
4: 6    38.0c  91.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
4: 7    43.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
4: ================================================================================
4: ============================= End of ROCm SMI Log ==============================
7: 
7: 
7: ======================= ROCm System Management Interface =======================
7: ================================= Concise Info =================================
7: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
7: 0    48.0c  87.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
7: 1    48.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
7: 2    40.0c  91.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
7: 3    44.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
7: 4    43.0c  89.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
7: 5    45.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
7: 6    38.0c  85.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
7: 7    46.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
7: ================================================================================
7: ============================= End of ROCm SMI Log ==============================
1: 
1: 
1: ======================= ROCm System Management Interface =======================
1: ================================= Concise Info =================================
1: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
1: 0    38.0c  89.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
1: 1    43.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
1: 2    39.0c  92.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
1: 3    45.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
1: 4    41.0c  87.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
1: 5    42.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
1: 6    41.0c  88.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
1: 7    45.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
1: ================================================================================
1: ============================= End of ROCm SMI Log ==============================
3: 
3: 
3: ======================= ROCm System Management Interface =======================
3: ================================= Concise Info =================================
3: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
3: 0    45.0c  86.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
3: 1    50.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
3: 2    39.0c  91.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
3: 3    40.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
3: 4    40.0c  91.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
3: 5    46.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
3: 6    38.0c  89.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
3: 7    47.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
3: ================================================================================
3: ============================= End of ROCm SMI Log ==============================
5: 
5: 
5: ======================= ROCm System Management Interface =======================
5: ================================= Concise Info =================================
5: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
5: 0    43.0c  90.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
5: 1    46.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
5: 2    40.0c  86.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
5: 3    43.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
5: 4    44.0c  87.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
5: 5    42.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
5: 6    41.0c  89.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
5: 7    42.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
5: ================================================================================
5: ============================= End of ROCm SMI Log ==============================
2: 
2: 
2: ======================= ROCm System Management Interface =======================
2: ================================= Concise Info =================================
2: GPU  Temp   AvgPwr  SCLK    MCLK     Fan  Perf  PwrCap  VRAM%  GPU%  
2: 0    37.0c  89.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
2: 1    44.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
2: 2    39.0c  91.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
2: 3    44.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
2: 4    43.0c  84.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
2: 5    43.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
2: 6    38.0c  82.0W   800Mhz  1600Mhz  0%   auto  560.0W    0%   0%    
2: 7    46.0c  N/A     800Mhz  1600Mhz  0%   auto  0.0W      0%   0%    
2: ================================================================================
2: ============================= End of ROCm SMI Log ==============================
5: Launching on nid005057 (5/8), master nid005052 port 9999, GPUs 8, CUDA: True
6: Launching on nid005058 (6/8), master nid005052 port 9999, GPUs 8, CUDA: True
1: Launching on nid005053 (1/8), master nid005052 port 9999, GPUs 8, CUDA: True
2: Launching on nid005054 (2/8), master nid005052 port 9999, GPUs 8, CUDA: True
0: Launching on nid005052 (0/8), master nid005052 port 9999, GPUs 8, CUDA: True
4: Launching on nid005056 (4/8), master nid005052 port 9999, GPUs 8, CUDA: True
7: Launching on nid005059 (7/8), master nid005052 port 9999, GPUs 8, CUDA: True
3: Launching on nid005055 (3/8), master nid005052 port 9999, GPUs 8, CUDA: True
0: using world size: 64, data-parallel-size: 64, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 
0: accumulate and all-reduce gradients in fp32 for bfloat16 data type.
0: using torch.bfloat16 for parameters ...
0: ------------------------ arguments ------------------------
0:   abort_on_unmet_fused_kernel_constraints ......... False
0:   accumulate_allreduce_grads_in_fp32 .............. True
0:   adam_beta1 ...................................... 0.9
0:   adam_beta2 ...................................... 0.999
0:   adam_eps ........................................ 1e-08
0:   adlr_autoresume ................................. False
0:   adlr_autoresume_interval ........................ 1000
0:   apply_query_key_layer_scaling ................... True
0:   apply_residual_connection_post_layernorm ........ False
0:   attention_dropout ............................... 0.1
0:   attention_softmax_in_fp32 ....................... False
0:   bert_binary_head ................................ True
0:   bert_load ....................................... None
0:   bf16 ............................................ True
0:   bias_dropout_fusion ............................. True
0:   bias_gelu_fusion ................................ True
0:   biencoder_projection_dim ........................ 0
0:   biencoder_shared_query_context_model ............ False
0:   block_data_path ................................. None
0:   checkpoint_activations .......................... True
0:   checkpoint_in_cpu ............................... False
0:   checkpoint_num_layers ........................... 1
0:   clip_grad ....................................... 1.0
0:   codecarbon_dir .................................. None
0:   consumed_train_samples .......................... 0
0:   consumed_train_tokens ........................... 0
0:   consumed_valid_samples .......................... 0
0:   contigious_checkpointing ........................ False
0:   cpu_optimizer ................................... False
0:   cpu_torch_adam .................................. False
0:   curriculum_learning ............................. False
0:   data_impl ....................................... mmap
0:   data_parallel_size .............................. 64
0:   data_path ....................................... ['/scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document']
0:   dataloader_type ................................. single
0:   DDP_impl ........................................ local
0:   decoder_seq_length .............................. None
0:   deepscale ....................................... False
0:   deepscale_config ................................ None
0:   deepspeed ....................................... True
0:   deepspeed_activation_checkpointing .............. False
0:   deepspeed_config ................................ ds_configs/2077586.json
0:   deepspeed_mpi ................................... False
0:   distribute_checkpointed_activations ............. False
0:   distributed_backend ............................. nccl
0:   embed_layernorm ................................. False
0:   embedding_path .................................. None
0:   encoder_seq_length .............................. 2048
0:   eod_mask_loss ................................... False
0:   eval_interval ................................... 1000
0:   eval_iters ...................................... 1
0:   eval_only ....................................... None
0:   evidence_data_path .............................. None
0:   exit_duration_in_mins ........................... None
0:   exit_interval ................................... None
0:   ffn_hidden_size ................................. 2560
0:   finetune ........................................ False
0:   fp16 ............................................ False
0:   fp16_lm_cross_entropy ........................... False
0:   fp32_residual_connection ........................ False
0:   gigaflos_no_embeds .............................. 0
0:   global_batch_size ............................... 256
0:   glu_activation .................................. None
0:   hidden_dropout .................................. 0.1
0:   hidden_size ..................................... 640
0:   hysteresis ...................................... 2
0:   ict_head_size ................................... None
0:   ict_load ........................................ None
0:   img_dim ......................................... 224
0:   indexer_batch_size .............................. 128
0:   indexer_log_interval ............................ 1000
0:   inference ....................................... False
0:   init_method_std ................................. 0.02
0:   init_method_xavier_uniform ...................... False
0:   initial_loss_scale .............................. 4294967296
0:   kill_switch_path ................................ kill-switch-83slr
0:   kv_channels ..................................... 64
0:   layer_norm_fusion ............................... True
0:   layernorm_epsilon ............................... 1e-05
0:   lazy_mpu_init ................................... None
0:   load ............................................ checkpoints_83slr
0:   local_rank ...................................... None
0:   log_batch_size_to_tensorboard ................... True
0:   log_interval .................................... 10
0:   log_learning_rate_to_tensorboard ................ True
0:   log_level ....................................... None
0:   log_level_replica ............................... None
0:   log_loss_scale_to_tensorboard ................... True
0:   log_num_zeros_in_grad ........................... False
0:   log_params_norm ................................. False
0:   log_path ........................................ None
0:   log_timers_to_tensorboard ....................... True
0:   log_validation_ppl_to_tensorboard ............... True
0:   loss_on_targets_only ............................ False
0:   loss_scale ...................................... 12.0
0:   loss_scale_window ............................... 1000
0:   lr .............................................. 2e-05
0:   lr_decay_iters .................................. None
0:   lr_decay_samples ................................ 9703701
0:   lr_decay_style .................................. cosine
0:   lr_decay_tokens ................................. None
0:   lr_warmup_fraction .............................. None
0:   lr_warmup_iters ................................. 0
0:   lr_warmup_samples ............................... 97037
0:   make_vocab_size_divisible_by .................... 128
0:   mask_prob ....................................... 0.15
0:   masked_softmax_fusion ........................... True
0:   max_position_embeddings ......................... 2048
0:   mean_noise_span_length .......................... None
0:   memory_centric_tiled_linear ..................... False
0:   merge_file ...................................... gpt2/merges.txt
0:   micro_batch_size ................................ 4
0:   min_loss_scale .................................. 1.0
0:   min_lr .......................................... 2e-06
0:   mmap_warmup ..................................... False
0:   no_load_optim ................................... None
0:   no_load_rng ..................................... None
0:   no_save_optim ................................... None
0:   no_save_rng ..................................... None
0:   noise_density ................................... None
0:   num_attention_heads ............................. 10
0:   num_channels .................................... 3
0:   num_classes ..................................... 1000
0:   num_layers ...................................... 10
0:   num_layers_per_virtual_pipeline_stage ........... None
0:   num_workers ..................................... 2
0:   onnx_safe ....................................... None
0:   openai_gelu ..................................... False
0:   optimizer ....................................... adam
0:   optimizer_fusion ................................ True
0:   override_lr_scheduler ........................... False
0:   pad_vocab_size_to ............................... None
0:   params_dtype .................................... torch.bfloat16
0:   partition_activations ........................... False
0:   patch_dim ....................................... 16
0:   pipeline_model_parallel_size .................... 1
0:   position_embedding_type ......................... PositionEmbeddingType.absolute
0:   pp_partition_method ............................. None
0:   profile_backward ................................ False
0:   query_in_block_prob ............................. 0.1
0:   rampup_batch_size ............................... None
0:   rank ............................................ 0
0:   remote_device ................................... none
0:   reset_attention_mask ............................ False
0:   reset_position_ids .............................. False
0:   retriever_report_topk_accuracies ................ []
0:   retriever_score_scaling ......................... False
0:   retriever_seq_length ............................ 256
0:   reweight_loss_based_on_position_frequency ....... False
0:   sample_rate ..................................... 1.0
0:   save ............................................ checkpoints_83slr
0:   save_interval ................................... 1000
0:   scatter_gather_tensors_in_pipeline .............. True
0:   scattered_embeddings ............................ False
0:   seed ............................................ 1234
0:   seq_length ...................................... 2048
0:   sgd_momentum .................................... 0.9
0:   short_seq_prob .................................. 0.1
0:   skip_train_iteration_range ...................... None
0:   split ........................................... 949,50,1
0:   split_transformers .............................. False
0:   sync_tp_duplicated_parameters ................... False
0:   synchronize_each_layer .......................... False
0:   tensor_model_parallel_size ...................... 1
0:   tensorboard_dir ................................. tensorboard_83slr
0:   tensorboard_log_interval ........................ 1
0:   tensorboard_queue_size .......................... 5
0:   test_weighted_split_names ....................... None
0:   test_weighted_split_paths ....................... None
0:   test_weighted_split_paths_path .................. None
0:   test_weighted_split_splits ...................... None
0:   test_weighted_split_weights ..................... None
0:   tile_factor ..................................... 1
0:   titles_data_path ................................ None
0:   tokenizer_name_or_path .......................... None
0:   tokenizer_type .................................. GPT2BPETokenizer
0:   train_iters ..................................... None
0:   train_samples ................................... 9703701
0:   train_tokens .................................... None
0:   train_weighted_split_paths ...................... None
0:   train_weighted_split_paths_path ................. None
0:   universal_checkpoint ............................ False
0:   use_bnb_optimizer ............................... False
0:   use_checkpoint_lr_scheduler ..................... False
0:   use_contiguous_buffers_in_ddp ................... True
0:   use_cpu_initialization .......................... None
0:   use_one_sent_docs ............................... False
0:   use_pin_memory .................................. False
0:   valid_num_workers ............................... 2
0:   valid_weighted_split_names ...................... None
0:   valid_weighted_split_paths ...................... None
0:   valid_weighted_split_paths_path ................. None
0:   valid_weighted_split_splits ..................... None
0:   valid_weighted_split_weights .................... None
0:   virtual_pipeline_model_parallel_size ............ None
0:   vocab_extra_ids ................................. 0
0:   vocab_file ...................................... gpt2/vocab.json
0:   weight_decay .................................... 0.1
0:   world_size ...................................... 64
0:   zero_allgather_bucket_size ...................... 0.0
0:   zero_contigious_gradients ....................... False
0:   zero_reduce_bucket_size ......................... 0.0
0:   zero_reduce_scatter ............................. False
0:   zero_stage ...................................... 0
0: -------------------- end of arguments ---------------------
0: setting number of micro-batches to constant 1
0: > building GPT2BPETokenizer tokenizer ...
0:  > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304)
0: DeepSpeed general environment info:
0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch']
0: torch version .................... 1.13.0+rocm5.2
0: torch cuda version ............... None
0: torch hip version ................ 5.2.21151-afdc89f8
0: nvcc version ..................... None
0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed']
0: deepspeed info ................... 0.7.5, unknown, unknown
0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1
0: **** Git info for Megatron: git_hash=unknown git_branch=unknown ****
0: > initializing torch distributed ...
0: [2022-11-28 15:11:22,343] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
7: > setting tensorboard ...
0: > initializing tensor model parallel with size 1
0: > initializing pipeline model parallel with size 1
0: > setting random seeds to 1234 ...
0: > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234
0: > compiling dataset index builder ...
0: make: Entering directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data'
0: make: Nothing to be done for 'default'.
0: make: Leaving directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data'
0: >>> done with dataset index builder. Compilation time: 0.097 seconds
0: > compiling and loading fused kernels ...
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified]
0: Total number of unsupported CUDA function calls: 0
0: 
0: 
0: Total number of replaced kernel launches: 87
0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.o scaled_upper_triang_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified]
0: Total number of unsupported CUDA function calls: 0
0: 
0: 
0: Total number of replaced kernel launches: 63
0: [1/1] c++ scaled_masked_softmax_hip.cuda.o scaled_masked_softmax_hip.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_masked_softmax_cuda.so
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified]
0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified]
0: Total number of unsupported CUDA function calls: 0
0: 
0: 
0: Total number of replaced kernel launches: 67
0: [1/1] c++ layer_norm_cuda.o layer_norm_hip_kernel.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o fused_mix_prec_layer_norm_cuda.so
0: >>> done with compiling and loading fused kernels. Compilation time: 22.294 seconds
0: time to initialize megatron (seconds): 22.396
0: [after megatron is initialized] datetime: 2022-11-28 15:11:50 
0: building GPT model ...
0: [2022-11-28 15:11:50,448] [INFO] [utils.py:827:see_memory_usage] Before Building Model
0: [2022-11-28 15:11:50,449] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB 
0: [2022-11-28 15:11:50,449] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 29.8 GB, percent = 5.9%
0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None
0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi
0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4
0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63}
0: [2022-11-28 15:11:52,473] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer
0: stage=0 layers=17
0:      0: _to_float16
0:      1: EmbeddingPipe
0:      2: <lambda>
0:      3: ParallelTransformerLayerPipe
0:      4: ParallelTransformerLayerPipe
0:      5: ParallelTransformerLayerPipe
0:      6: ParallelTransformerLayerPipe
0:      7: ParallelTransformerLayerPipe
0:      8: ParallelTransformerLayerPipe
0:      9: ParallelTransformerLayerPipe
0:     10: ParallelTransformerLayerPipe
0:     11: ParallelTransformerLayerPipe
0:     12: ParallelTransformerLayerPipe
0:     13: undo
0:     14: MixedFusedLayerNorm
0:     15: EmbeddingPipe
0:     16: float16_to_fp32
0:   loss: CrossEntropy
0: [2022-11-28 15:11:53,151] [INFO] [utils.py:827:see_memory_usage] After Building Model
0: [2022-11-28 15:11:53,151] [INFO] [utils.py:828:see_memory_usage] MA 0.16 GB         Max_MA 0.16 GB         CA 0.17 GB         Max_CA 0 GB 
0: [2022-11-28 15:11:53,151] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 29.81 GB, percent = 5.9%
0: setting training iterations to 37905
0: > learning rate decay style: cosine
0: DeepSpeed is enabled.
0: [2022-11-28 15:11:53,153] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown
0: [2022-11-28 15:12:05,120] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False
0: [2022-11-28 15:12:05,121] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer
0: [2022-11-28 15:12:05,121] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer
0: [2022-11-28 15:12:05,124] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam
0: [2022-11-28 15:12:05,124] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer
0: [2022-11-28 15:12:05,169] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer
0: [2022-11-28 15:12:05,170] [INFO] [utils.py:828:see_memory_usage] MA 0.16 GB         Max_MA 0.16 GB         CA 0.17 GB         Max_CA 0 GB 
0: [2022-11-28 15:12:05,170] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.49 GB, percent = 6.1%
0: ninja: no work to do.
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0: [2022-11-28 15:12:05,448] [INFO] [utils.py:827:see_memory_usage] before initializing group 0
0: [2022-11-28 15:12:05,448] [INFO] [utils.py:828:see_memory_usage] MA 0.16 GB         Max_MA 0.16 GB         CA 0.17 GB         Max_CA 0 GB 
0: [2022-11-28 15:12:05,448] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.5 GB, percent = 6.1%
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4: Time to load utils op: 0.0013437271118164062 seconds
3: Time to load utils op: 0.0013666152954101562 seconds
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5: Time to load utils op: 0.0009438991546630859 seconds
2: Time to load utils op: 0.001134634017944336 seconds
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2: Time to load utils op: 0.001434326171875 seconds
2: Time to load utils op: 0.0013742446899414062 seconds
2: Time to load utils op: 0.0014195442199707031 seconds
2: Time to load utils op: 0.001435995101928711 seconds
2: Time to load utils op: 0.0014383792877197266 seconds
2: Time to load utils op: 0.0014498233795166016 seconds
2: Time to load utils op: 0.0014424324035644531 seconds
5: Time to load utils op: 0.0014622211456298828 seconds
5: Time to load utils op: 0.0014369487762451172 seconds
5: Time to load utils op: 0.0014431476593017578 seconds
5: Time to load utils op: 0.0015017986297607422 seconds
5: Time to load utils op: 0.0014989376068115234 seconds
5: Time to load utils op: 0.0015265941619873047 seconds
0: [2022-11-28 15:12:05,992] [INFO] [utils.py:827:see_memory_usage] after initializing group 0
0: [2022-11-28 15:12:05,992] [INFO] [utils.py:828:see_memory_usage] MA 0.37 GB         Max_MA 0.37 GB         CA 0.48 GB         Max_CA 0 GB 
0: [2022-11-28 15:12:05,992] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.61 GB, percent = 6.1%
0: [2022-11-28 15:12:06,033] [INFO] [utils.py:827:see_memory_usage] before initializing group 1
0: [2022-11-28 15:12:06,034] [INFO] [utils.py:828:see_memory_usage] MA 0.37 GB         Max_MA 0.37 GB         CA 0.48 GB         Max_CA 0 GB 
0: [2022-11-28 15:12:06,034] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.64 GB, percent = 6.1%
0: [2022-11-28 15:12:06,066] [INFO] [utils.py:827:see_memory_usage] after initializing group 1
0: [2022-11-28 15:12:06,067] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB         Max_MA 0.47 GB         CA 0.58 GB         Max_CA 1 GB 
0: [2022-11-28 15:12:06,067] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.64 GB, percent = 6.1%
0: [2022-11-28 15:12:06,098] [INFO] [utils.py:827:see_memory_usage] before initializing group 2
0: [2022-11-28 15:12:06,099] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB         Max_MA 0.47 GB         CA 0.58 GB         Max_CA 1 GB 
0: [2022-11-28 15:12:06,099] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.64 GB, percent = 6.1%
0: [2022-11-28 15:12:06,132] [INFO] [utils.py:827:see_memory_usage] after initializing group 2
0: [2022-11-28 15:12:06,132] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB         Max_MA 0.47 GB         CA 0.58 GB         Max_CA 1 GB 
0: [2022-11-28 15:12:06,133] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.64 GB, percent = 6.1%
0: [2022-11-28 15:12:06,164] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer
0: [2022-11-28 15:12:06,165] [INFO] [utils.py:828:see_memory_usage] MA 0.47 GB         Max_MA 0.47 GB         CA 0.58 GB         Max_CA 1 GB 
0: [2022-11-28 15:12:06,165] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.64 GB, percent = 6.1%
0: [2022-11-28 15:12:06,201] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer
0: [2022-11-28 15:12:06,202] [INFO] [utils.py:828:see_memory_usage] MA 0.48 GB         Max_MA 0.48 GB         CA 0.58 GB         Max_CA 1 GB 
0: [2022-11-28 15:12:06,202] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.64 GB, percent = 6.1%
0: [2022-11-28 15:12:06,233] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer
0: [2022-11-28 15:12:06,234] [INFO] [utils.py:828:see_memory_usage] MA 0.48 GB         Max_MA 0.48 GB         CA 0.58 GB         Max_CA 1 GB 
0: [2022-11-28 15:12:06,234] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory:  used = 30.64 GB, percent = 6.1%
0: [2022-11-28 15:12:06,234] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam
0: [2022-11-28 15:12:06,234] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler
0: [2022-11-28 15:12:06,234] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = <megatron.learning_rates.AnnealingLR object at 0x14c0590e3fd0>
0: [2022-11-28 15:12:06,234] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1007:print] DeepSpeedEngine configuration:
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   activation_checkpointing_config  {
0:     "partition_activations": false, 
0:     "contiguous_memory_optimization": false, 
0:     "cpu_checkpointing": false, 
0:     "number_checkpoints": null, 
0:     "synchronize_checkpoint_boundary": false, 
0:     "profile": false
0: }
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True}
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   amp_enabled .................. False
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   amp_params ................... False
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   autotuning_config ............ {
0:     "enabled": false, 
0:     "start_step": null, 
0:     "end_step": null, 
0:     "metric_path": null, 
0:     "arg_mappings": null, 
0:     "metric": "throughput", 
0:     "model_info": null, 
0:     "results_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_results", 
0:     "exps_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_exps", 
0:     "overwrite": true, 
0:     "fast": true, 
0:     "start_profile_step": 3, 
0:     "end_profile_step": 5, 
0:     "tuner_type": "gridsearch", 
0:     "tuner_early_stopping": 5, 
0:     "tuner_num_trials": 50, 
0:     "model_info_path": null, 
0:     "mp_size": 1, 
0:     "max_train_batch_size": null, 
0:     "min_train_batch_size": 1, 
0:     "max_train_micro_batch_size_per_gpu": 1.024000e+03, 
0:     "min_train_micro_batch_size_per_gpu": 1, 
0:     "num_tuning_micro_batch_sizes": 3
0: }
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   bfloat16_enabled ............. True
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   checkpoint_parallel_write_pipeline  False
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   checkpoint_tag_validation_enabled  True
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   checkpoint_tag_validation_fail  False
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   comms_config ................. <deepspeed.comm.config.DeepSpeedCommsConfig object at 0x14c0590e3d60>
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   communication_data_type ...... None
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_pa
0: rameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}}
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   curriculum_enabled ........... False
0: [2022-11-28 15:12:06,235] [INFO] [config.py:1011:print]   curriculum_params ............ False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   dataloader_drop_last ......... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   disable_allgather ............ False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   dump_state ................... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   dynamic_loss_scale_args ...... None
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_enabled ........... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_gas_boundary_resolution  1
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_layer_name ........ bert.encoder.layer
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_layer_num ......... 0
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_max_iter .......... 100
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_stability ......... 1e-06
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_tol ............... 0.01
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   eigenvalue_verbose ........... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   elasticity_enabled ........... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   flops_profiler_config ........ {
0:     "enabled": false, 
0:     "profile_step": 1, 
0:     "module_depth": -1, 
0:     "top_modules": 1, 
0:     "detailed": true, 
0:     "output_file": null
0: }
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   fp16_auto_cast ............... None
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   fp16_enabled ................. False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   fp16_master_weights_and_gradients  False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   global_rank .................. 0
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   gradient_accumulation_steps .. 1
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   gradient_clipping ............ 1.0
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   gradient_predivide_factor .... 1.0
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   initial_dynamic_scale ........ 1
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   load_universal_checkpoint .... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   loss_scale ................... 1.0
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   memory_breakdown ............. False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   monitor_config ............... <deepspeed.monitor.config.DeepSpeedMonitorConfig object at 0x14c0590e3ca0>
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   nebula_config ................ {
0:     "enabled": false, 
0:     "persistent_storage_path": null, 
0:     "persistent_time_interval": 100, 
0:     "num_of_version_in_retention": 2, 
0:     "enable_nebula_load": true, 
0:     "load_path": null
0: }
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   optimizer_legacy_fusion ...... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   optimizer_name ............... None
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   optimizer_params ............. None
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0}
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   pld_enabled .................. False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   pld_params ................... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   prescale_gradients ........... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   scheduler_name ............... None
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   scheduler_params ............. None
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   sparse_attention ............. None
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   sparse_gradients_enabled ..... False
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   steps_per_print .............. 2000
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   train_batch_size ............. 256
0: [2022-11-28 15:12:06,236] [INFO] [config.py:1011:print]   train_micro_batch_size_per_gpu  4
0: [2022-11-28 15:12:06,237] [INFO] [config.py:1011:print]   use_node_local_storage ....... False
0: [2022-11-28 15:12:06,237] [INFO] [config.py:1011:print]   wall_clock_breakdown ......... False
0: [2022-11-28 15:12:06,237] [INFO] [config.py:1011:print]   world_size ................... 64
0: [2022-11-28 15:12:06,237] [INFO] [config.py:1011:print]   zero_allow_untested_optimizer  False
0: [2022-11-28 15:12:06,237] [INFO] [config.py:1011:print]   zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False
0: [2022-11-28 15:12:06,237] [INFO] [config.py:1011:print]   zero_enabled ................. False
0: [2022-11-28 15:12:06,237] [INFO] [config.py:1011:print]   zero_optimization_stage ...... 0
0: [2022-11-28 15:12:06,237] [INFO] [config.py:996:print_user_config]   json = {
0:     "train_micro_batch_size_per_gpu": 4, 
0:     "train_batch_size": 256, 
0:     "gradient_clipping": 1.0, 
0:     "zero_optimization": {
0:         "stage": 0
0:     }, 
0:     "bf16": {
0:         "enabled": true
0:     }, 
0:     "steps_per_print": 2.000000e+03, 
0:     "wall_clock_breakdown": false
0: }
0: Time to load utils op: 0.0004146099090576172 seconds
0: [2022-11-28 15:12:06,237] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4
0: [2022-11-28 15:12:06,290] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=17 [0, 17) STAGE_PARAMS=82741760 (82.742M) TOTAL_PARAMS=82741760 (82.742M) UNIQUE_PARAMS=82741760 (82.742M)
0: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
0: WARNING: could not find the metadata file checkpoints_83slr 
0:     will not load any checkpoints and will start from random
0: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
0: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
0: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
0: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
0: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,296] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
0: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
0: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
4: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
6: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
3: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
5: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
2: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
1: [2022-11-28 15:12:06,297] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_83slr/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint.
7: time (ms) | load-checkpoint: 6.11
0: estimated model parameters: 0.08274176
0: estimated model parameters without embeddings: 0.04923648
0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-28 15:12:07 
0: > building train, validation, and test datasets ...
0:  > datasets target sizes (minimum size):
0:     train:      9703701
0:     validation: 9728
0:     test:       256
0: > building train, validation, and test datasets for GPT ...
0:  > building dataset index ...
0:     reading sizes...
0:     reading pointers...
0:     reading document index...
0:     creating numpy buffer of mmap...
0:     creating memory view of numpy buffer...
0:  > finished creating indexed dataset in 0.008065 seconds
0:     number of documents: 210604984
0:  > dataset split:
0:     train:
0:      document indices in [0, 199864130) total of 199864130 documents
0:     validation:
0:      document indices in [199864130, 210394379) total of 10530249 documents
0:     test:
0:      document indices in [210394379, 210604984) total of 210605 documents
0:  > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_9703701ns_2048sl_1234s_doc_idx.npy
0:  > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_9703701ns_2048sl_1234s_sample_idx.npy
0:  > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_9703701ns_2048sl_1234s_shuffle_idx.npy
0:     loaded indexed file in 0.097 seconds
0:     total number of samples: 173377817
0:     total number of epochs: 1
0:  > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_9728ns_2048sl_1234s_doc_idx.npy
0:  > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_9728ns_2048sl_1234s_sample_idx.npy
0:  > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_9728ns_2048sl_1234s_shuffle_idx.npy
0:     loaded indexed file in 0.088 seconds
0:     total number of samples: 9118345
0:     total number of epochs: 1
0:  > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_doc_idx.npy
0:  > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_sample_idx.npy
0:  > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_shuffle_idx.npy
0:     loaded indexed file in 0.068 seconds
0:     total number of samples: 182928
0:     total number of epochs: 1
0: > finished creating GPT datasets ...
0: [after dataloaders are built] datetime: 2022-11-28 15:12:24 
0: done with setup ...
0: training ...
0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings:
7: time (ms) | model-and-optimizer-setup: 16680.93 | train/valid/test-data-iterators-setup: 16927.39
0: [000-000] 0.0827B / 0.0492B
0: [before the start of training step] datetime: 2022-11-28 15:12:24 
0: [2022-11-28 15:12:25,607] [INFO] [checkpointing.py:553:forward] Activation Checkpointing Information
0: [2022-11-28 15:12:25,607] [INFO] [checkpointing.py:554:forward] ----Partition Activations False, CPU CHECKPOINTING False
0: [2022-11-28 15:12:25,607] [INFO] [checkpointing.py:557:forward] ----contiguous Memory Checkpointing False with None total layers
0: [2022-11-28 15:12:25,607] [INFO] [checkpointing.py:560:forward] ----Synchronization False
0: [2022-11-28 15:12:25,607] [INFO] [checkpointing.py:561:forward] ----Profiling time in checkpointing False
0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 2227.14013671875 | max allocated: 4719.5146484375 | reserved: 5998.0 | max reserved: 5998.0
7:  iteration       10/   37905 | consumed samples:         2560 | consumed tokens:      5242880 | elapsed time per iteration (s): 1.68 | learning rate: 5.276E-07 | global batch size:   256 | lm loss: 1.086586E+01 | grad norm: 15.205 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 151.970 | TFLOPs: 3.87 |
7:  iteration       20/   37905 | consumed samples:         5120 | consumed tokens:     10485760 | elapsed time per iteration (s): 0.26 | learning rate: 1.055E-06 | global batch size:   256 | lm loss: 1.076852E+01 | grad norm: 14.348 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.629 | TFLOPs: 25.57 |
7:  iteration       30/   37905 | consumed samples:         7680 | consumed tokens:     15728640 | elapsed time per iteration (s): 0.23 | learning rate: 1.583E-06 | global batch size:   256 | lm loss: 1.039884E+01 | grad norm: 8.231 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.250 | TFLOPs: 28.05 |
7:  iteration       40/   37905 | consumed samples:        10240 | consumed tokens:     20971520 | elapsed time per iteration (s): 0.24 | learning rate: 2.111E-06 | global batch size:   256 | lm loss: 9.970742E+00 | grad norm: 5.242 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.070 | TFLOPs: 27.44 |
7:  iteration       50/   37905 | consumed samples:        12800 | consumed tokens:     26214400 | elapsed time per iteration (s): 0.24 | learning rate: 2.638E-06 | global batch size:   256 | lm loss: 9.624996E+00 | grad norm: 2.990 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.176 | TFLOPs: 27.44 |
7:  iteration       60/   37905 | consumed samples:        15360 | consumed tokens:     31457280 | elapsed time per iteration (s): 0.23 | learning rate: 3.166E-06 | global batch size:   256 | lm loss: 9.449371E+00 | grad norm: 2.286 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.571 | TFLOPs: 28.16 |
7:  iteration       70/   37905 | consumed samples:        17920 | consumed tokens:     36700160 | elapsed time per iteration (s): 0.24 | learning rate: 3.693E-06 | global batch size:   256 | lm loss: 9.303499E+00 | grad norm: 1.918 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.876 | TFLOPs: 26.98 |
7:  iteration       80/   37905 | consumed samples:        20480 | consumed tokens:     41943040 | elapsed time per iteration (s): 0.23 | learning rate: 4.221E-06 | global batch size:   256 | lm loss: 9.176017E+00 | grad norm: 1.762 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.705 | TFLOPs: 28.24 |
7:  iteration       90/   37905 | consumed samples:        23040 | consumed tokens:     47185920 | elapsed time per iteration (s): 0.25 | learning rate: 4.749E-06 | global batch size:   256 | lm loss: 9.134682E+00 | grad norm: 1.694 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.385 | TFLOPs: 26.02 |
7:  iteration      100/   37905 | consumed samples:        25600 | consumed tokens:     52428800 | elapsed time per iteration (s): 0.24 | learning rate: 5.276E-06 | global batch size:   256 | lm loss: 9.044332E+00 | grad norm: 1.573 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.157 | TFLOPs: 27.75 |
7:  iteration      110/   37905 | consumed samples:        28160 | consumed tokens:     57671680 | elapsed time per iteration (s): 0.24 | learning rate: 5.804E-06 | global batch size:   256 | lm loss: 8.953588E+00 | grad norm: 1.674 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1069.986 | TFLOPs: 27.26 |
7:  iteration      120/   37905 | consumed samples:        30720 | consumed tokens:     62914560 | elapsed time per iteration (s): 0.25 | learning rate: 6.332E-06 | global batch size:   256 | lm loss: 8.855142E+00 | grad norm: 1.485 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.825 | TFLOPs: 25.98 |
7:  iteration      130/   37905 | consumed samples:        33280 | consumed tokens:     68157440 | elapsed time per iteration (s): 0.24 | learning rate: 6.859E-06 | global batch size:   256 | lm loss: 8.725260E+00 | grad norm: 1.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.969 | TFLOPs: 27.41 |
7:  iteration      140/   37905 | consumed samples:        35840 | consumed tokens:     73400320 | elapsed time per iteration (s): 0.24 | learning rate: 7.387E-06 | global batch size:   256 | lm loss: 8.652191E+00 | grad norm: 1.573 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.894 | TFLOPs: 27.61 |
7:  iteration      150/   37905 | consumed samples:        38400 | consumed tokens:     78643200 | elapsed time per iteration (s): 0.23 | learning rate: 7.915E-06 | global batch size:   256 | lm loss: 8.619724E+00 | grad norm: 1.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.182 | TFLOPs: 28.08 |
7:  iteration      160/   37905 | consumed samples:        40960 | consumed tokens:     83886080 | elapsed time per iteration (s): 0.24 | learning rate: 8.442E-06 | global batch size:   256 | lm loss: 8.466837E+00 | grad norm: 1.355 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1079.337 | TFLOPs: 27.50 |
7:  iteration      170/   37905 | consumed samples:        43520 | consumed tokens:     89128960 | elapsed time per iteration (s): 0.23 | learning rate: 8.970E-06 | global batch size:   256 | lm loss: 8.438465E+00 | grad norm: 1.354 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.280 | TFLOPs: 28.06 |
7:  iteration      180/   37905 | consumed samples:        46080 | consumed tokens:     94371840 | elapsed time per iteration (s): 0.23 | learning rate: 9.497E-06 | global batch size:   256 | lm loss: 8.339407E+00 | grad norm: 1.343 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.943 | TFLOPs: 28.07 |
7:  iteration      190/   37905 | consumed samples:        48640 | consumed tokens:     99614720 | elapsed time per iteration (s): 0.24 | learning rate: 1.003E-05 | global batch size:   256 | lm loss: 8.275722E+00 | grad norm: 1.338 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.985 | TFLOPs: 27.59 |
7:  iteration      200/   37905 | consumed samples:        51200 | consumed tokens:    104857600 | elapsed time per iteration (s): 0.24 | learning rate: 1.055E-05 | global batch size:   256 | lm loss: 8.143716E+00 | grad norm: 1.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.816 | TFLOPs: 27.66 |
7:  iteration      210/   37905 | consumed samples:        53760 | consumed tokens:    110100480 | elapsed time per iteration (s): 0.24 | learning rate: 1.108E-05 | global batch size:   256 | lm loss: 8.085249E+00 | grad norm: 1.352 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.226 | TFLOPs: 27.60 |
7:  iteration      220/   37905 | consumed samples:        56320 | consumed tokens:    115343360 | elapsed time per iteration (s): 0.23 | learning rate: 1.161E-05 | global batch size:   256 | lm loss: 8.001077E+00 | grad norm: 1.225 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.411 | TFLOPs: 28.42 |
7:  iteration      230/   37905 | consumed samples:        58880 | consumed tokens:    120586240 | elapsed time per iteration (s): 0.23 | learning rate: 1.214E-05 | global batch size:   256 | lm loss: 7.947026E+00 | grad norm: 1.205 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.544 | TFLOPs: 27.76 |
7:  iteration      240/   37905 | consumed samples:        61440 | consumed tokens:    125829120 | elapsed time per iteration (s): 0.25 | learning rate: 1.266E-05 | global batch size:   256 | lm loss: 7.883746E+00 | grad norm: 1.319 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.796 | TFLOPs: 26.06 |
7:  iteration      250/   37905 | consumed samples:        64000 | consumed tokens:    131072000 | elapsed time per iteration (s): 0.23 | learning rate: 1.319E-05 | global batch size:   256 | lm loss: 7.749651E+00 | grad norm: 1.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.614 | TFLOPs: 27.78 |
7:  iteration      260/   37905 | consumed samples:        66560 | consumed tokens:    136314880 | elapsed time per iteration (s): 0.25 | learning rate: 1.372E-05 | global batch size:   256 | lm loss: 7.700870E+00 | grad norm: 1.223 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.031 | TFLOPs: 26.49 |
7:  iteration      270/   37905 | consumed samples:        69120 | consumed tokens:    141557760 | elapsed time per iteration (s): 0.24 | learning rate: 1.425E-05 | global batch size:   256 | lm loss: 7.595557E+00 | grad norm: 1.220 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.944 | TFLOPs: 27.69 |
7:  iteration      280/   37905 | consumed samples:        71680 | consumed tokens:    146800640 | elapsed time per iteration (s): 0.24 | learning rate: 1.477E-05 | global batch size:   256 | lm loss: 7.517651E+00 | grad norm: 1.124 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.516 | TFLOPs: 26.86 |
7:  iteration      290/   37905 | consumed samples:        74240 | consumed tokens:    152043520 | elapsed time per iteration (s): 0.23 | learning rate: 1.530E-05 | global batch size:   256 | lm loss: 7.441716E+00 | grad norm: 1.046 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.329 | TFLOPs: 28.23 |
7:  iteration      300/   37905 | consumed samples:        76800 | consumed tokens:    157286400 | elapsed time per iteration (s): 0.24 | learning rate: 1.583E-05 | global batch size:   256 | lm loss: 7.328486E+00 | grad norm: 1.130 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.370 | TFLOPs: 27.68 |
7:  iteration      310/   37905 | consumed samples:        79360 | consumed tokens:    162529280 | elapsed time per iteration (s): 0.24 | learning rate: 1.636E-05 | global batch size:   256 | lm loss: 7.293220E+00 | grad norm: 1.290 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.575 | TFLOPs: 27.43 |
7:  iteration      320/   37905 | consumed samples:        81920 | consumed tokens:    167772160 | elapsed time per iteration (s): 0.23 | learning rate: 1.688E-05 | global batch size:   256 | lm loss: 7.211662E+00 | grad norm: 1.077 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.314 | TFLOPs: 28.36 |
7:  iteration      330/   37905 | consumed samples:        84480 | consumed tokens:    173015040 | elapsed time per iteration (s): 0.24 | learning rate: 1.741E-05 | global batch size:   256 | lm loss: 7.137447E+00 | grad norm: 1.080 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.438 | TFLOPs: 26.73 |
7:  iteration      340/   37905 | consumed samples:        87040 | consumed tokens:    178257920 | elapsed time per iteration (s): 0.23 | learning rate: 1.794E-05 | global batch size:   256 | lm loss: 7.068775E+00 | grad norm: 1.201 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.966 | TFLOPs: 28.48 |
7:  iteration      350/   37905 | consumed samples:        89600 | consumed tokens:    183500800 | elapsed time per iteration (s): 0.23 | learning rate: 1.847E-05 | global batch size:   256 | lm loss: 7.014833E+00 | grad norm: 1.291 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.614 | TFLOPs: 28.01 |
7:  iteration      360/   37905 | consumed samples:        92160 | consumed tokens:    188743680 | elapsed time per iteration (s): 0.23 | learning rate: 1.899E-05 | global batch size:   256 | lm loss: 6.946839E+00 | grad norm: 0.975 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.604 | TFLOPs: 28.17 |
7:  iteration      370/   37905 | consumed samples:        94720 | consumed tokens:    193986560 | elapsed time per iteration (s): 0.23 | learning rate: 1.952E-05 | global batch size:   256 | lm loss: 6.847897E+00 | grad norm: 0.894 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.748 | TFLOPs: 28.32 |
7:  iteration      380/   37905 | consumed samples:        97280 | consumed tokens:    199229440 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.825641E+00 | grad norm: 1.114 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.360 | TFLOPs: 27.42 |
7:  iteration      390/   37905 | consumed samples:        99840 | consumed tokens:    204472320 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.754071E+00 | grad norm: 0.880 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.619 | TFLOPs: 28.04 |
7:  iteration      400/   37905 | consumed samples:       102400 | consumed tokens:    209715200 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.740921E+00 | grad norm: 0.910 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.133 | TFLOPs: 28.00 |
7:  iteration      410/   37905 | consumed samples:       104960 | consumed tokens:    214958080 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.688080E+00 | grad norm: 0.996 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.792 | TFLOPs: 28.02 |
7:  iteration      420/   37905 | consumed samples:       107520 | consumed tokens:    220200960 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.694973E+00 | grad norm: 0.812 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.070 | TFLOPs: 28.13 |
7:  iteration      430/   37905 | consumed samples:       110080 | consumed tokens:    225443840 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.598127E+00 | grad norm: 0.933 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.407 | TFLOPs: 28.29 |
7:  iteration      440/   37905 | consumed samples:       112640 | consumed tokens:    230686720 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.578731E+00 | grad norm: 0.896 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.551 | TFLOPs: 27.78 |
7:  iteration      450/   37905 | consumed samples:       115200 | consumed tokens:    235929600 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.506825E+00 | grad norm: 0.831 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.509 | TFLOPs: 27.96 |
7:  iteration      460/   37905 | consumed samples:       117760 | consumed tokens:    241172480 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.507965E+00 | grad norm: 0.755 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.452 | TFLOPs: 27.73 |
7:  iteration      470/   37905 | consumed samples:       120320 | consumed tokens:    246415360 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.485684E+00 | grad norm: 0.808 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.354 | TFLOPs: 28.44 |
7:  iteration      480/   37905 | consumed samples:       122880 | consumed tokens:    251658240 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.445480E+00 | grad norm: 0.997 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.654 | TFLOPs: 28.52 |
7:  iteration      490/   37905 | consumed samples:       125440 | consumed tokens:    256901120 | elapsed time per iteration (s): 0.25 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.367041E+00 | grad norm: 0.941 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.618 | TFLOPs: 26.36 |
7:  iteration      500/   37905 | consumed samples:       128000 | consumed tokens:    262144000 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.365977E+00 | grad norm: 1.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.539 | TFLOPs: 28.39 |
7:  iteration      510/   37905 | consumed samples:       130560 | consumed tokens:    267386880 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.329342E+00 | grad norm: 0.788 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.435 | TFLOPs: 27.68 |
7:  iteration      520/   37905 | consumed samples:       133120 | consumed tokens:    272629760 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.295934E+00 | grad norm: 0.885 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.102 | TFLOPs: 28.71 |
7:  iteration      530/   37905 | consumed samples:       135680 | consumed tokens:    277872640 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.240886E+00 | grad norm: 0.803 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.464 | TFLOPs: 27.14 |
7:  iteration      540/   37905 | consumed samples:       138240 | consumed tokens:    283115520 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.288763E+00 | grad norm: 0.852 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.662 | TFLOPs: 27.17 |
7:  iteration      550/   37905 | consumed samples:       140800 | consumed tokens:    288358400 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.257034E+00 | grad norm: 0.853 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.706 | TFLOPs: 27.91 |
7:  iteration      560/   37905 | consumed samples:       143360 | consumed tokens:    293601280 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.275899E+00 | grad norm: 1.028 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.839 | TFLOPs: 27.92 |
7:  iteration      570/   37905 | consumed samples:       145920 | consumed tokens:    298844160 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.229054E+00 | grad norm: 0.728 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.610 | TFLOPs: 28.65 |
7:  iteration      580/   37905 | consumed samples:       148480 | consumed tokens:    304087040 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.171333E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.990 | TFLOPs: 28.18 |
7:  iteration      590/   37905 | consumed samples:       151040 | consumed tokens:    309329920 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.137041E+00 | grad norm: 1.047 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.521 | TFLOPs: 27.73 |
7:  iteration      600/   37905 | consumed samples:       153600 | consumed tokens:    314572800 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.122396E+00 | grad norm: 0.860 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.578 | TFLOPs: 28.04 |
7:  iteration      610/   37905 | consumed samples:       156160 | consumed tokens:    319815680 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.103490E+00 | grad norm: 0.891 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.646 | TFLOPs: 28.01 |
7:  iteration      620/   37905 | consumed samples:       158720 | consumed tokens:    325058560 | elapsed time per iteration (s): 0.25 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.053062E+00 | grad norm: 0.809 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.578 | TFLOPs: 26.18 |
7:  iteration      630/   37905 | consumed samples:       161280 | consumed tokens:    330301440 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.144919E+00 | grad norm: 1.174 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.150 | TFLOPs: 27.98 |
7:  iteration      640/   37905 | consumed samples:       163840 | consumed tokens:    335544320 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.045387E+00 | grad norm: 1.130 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.223 | TFLOPs: 28.39 |
7:  iteration      650/   37905 | consumed samples:       166400 | consumed tokens:    340787200 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.072027E+00 | grad norm: 1.063 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.240 | TFLOPs: 28.05 |
7:  iteration      660/   37905 | consumed samples:       168960 | consumed tokens:    346030080 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 6.031632E+00 | grad norm: 1.273 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.832 | TFLOPs: 27.87 |
7:  iteration      670/   37905 | consumed samples:       171520 | consumed tokens:    351272960 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.968426E+00 | grad norm: 1.068 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.249 | TFLOPs: 28.03 |
7:  iteration      680/   37905 | consumed samples:       174080 | consumed tokens:    356515840 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.998778E+00 | grad norm: 0.757 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.457 | TFLOPs: 28.03 |
7:  iteration      690/   37905 | consumed samples:       176640 | consumed tokens:    361758720 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.986745E+00 | grad norm: 0.828 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.997 | TFLOPs: 27.97 |
7:  iteration      700/   37905 | consumed samples:       179200 | consumed tokens:    367001600 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.948705E+00 | grad norm: 0.886 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.681 | TFLOPs: 28.58 |
7:  iteration      710/   37905 | consumed samples:       181760 | consumed tokens:    372244480 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.949464E+00 | grad norm: 1.088 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.831 | TFLOPs: 27.13 |
7:  iteration      720/   37905 | consumed samples:       184320 | consumed tokens:    377487360 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.965561E+00 | grad norm: 1.035 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.058 | TFLOPs: 27.51 |
7:  iteration      730/   37905 | consumed samples:       186880 | consumed tokens:    382730240 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.926262E+00 | grad norm: 1.178 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.564 | TFLOPs: 27.63 |
7:  iteration      740/   37905 | consumed samples:       189440 | consumed tokens:    387973120 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.917787E+00 | grad norm: 1.157 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1073.208 | TFLOPs: 27.34 |
7:  iteration      750/   37905 | consumed samples:       192000 | consumed tokens:    393216000 | elapsed time per iteration (s): 0.24 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.844993E+00 | grad norm: 1.237 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1050.079 | TFLOPs: 26.75 |
7:  iteration      760/   37905 | consumed samples:       194560 | consumed tokens:    398458880 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.886417E+00 | grad norm: 1.260 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.707 | TFLOPs: 28.14 |
7:  iteration      770/   37905 | consumed samples:       197120 | consumed tokens:    403701760 | elapsed time per iteration (s): 0.23 | learning rate: 2.000E-05 | global batch size:   256 | lm loss: 5.899085E+00 | grad norm: 1.444 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.345 | TFLOPs: 28.44 |
7:  iteration      780/   37905 | consumed samples:       199680 | consumed tokens:    408944640 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.840695E+00 | grad norm: 1.448 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.020 | TFLOPs: 28.30 |
7:  iteration      790/   37905 | consumed samples:       202240 | consumed tokens:    414187520 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.818677E+00 | grad norm: 0.984 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.794 | TFLOPs: 28.45 |
7:  iteration      800/   37905 | consumed samples:       204800 | consumed tokens:    419430400 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.814985E+00 | grad norm: 1.299 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.776 | TFLOPs: 27.86 |
7:  iteration      810/   37905 | consumed samples:       207360 | consumed tokens:    424673280 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.773381E+00 | grad norm: 1.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.901 | TFLOPs: 27.54 |
7:  iteration      820/   37905 | consumed samples:       209920 | consumed tokens:    429916160 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.816599E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.490 | TFLOPs: 26.79 |
7:  iteration      830/   37905 | consumed samples:       212480 | consumed tokens:    435159040 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.818600E+00 | grad norm: 1.075 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.892 | TFLOPs: 27.99 |
7:  iteration      840/   37905 | consumed samples:       215040 | consumed tokens:    440401920 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.770457E+00 | grad norm: 1.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.235 | TFLOPs: 28.39 |
7:  iteration      850/   37905 | consumed samples:       217600 | consumed tokens:    445644800 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.757142E+00 | grad norm: 1.094 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.766 | TFLOPs: 28.30 |
7:  iteration      860/   37905 | consumed samples:       220160 | consumed tokens:    450887680 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.739244E+00 | grad norm: 0.972 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.713 | TFLOPs: 28.32 |
7:  iteration      870/   37905 | consumed samples:       222720 | consumed tokens:    456130560 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.768556E+00 | grad norm: 1.014 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.805 | TFLOPs: 27.92 |
7:  iteration      880/   37905 | consumed samples:       225280 | consumed tokens:    461373440 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.762325E+00 | grad norm: 1.333 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.023 | TFLOPs: 27.87 |
7:  iteration      890/   37905 | consumed samples:       227840 | consumed tokens:    466616320 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.705272E+00 | grad norm: 1.053 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.644 | TFLOPs: 27.91 |
7:  iteration      900/   37905 | consumed samples:       230400 | consumed tokens:    471859200 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.702610E+00 | grad norm: 1.577 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.377 | TFLOPs: 27.55 |
7:  iteration      910/   37905 | consumed samples:       232960 | consumed tokens:    477102080 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.710045E+00 | grad norm: 1.000 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.780 | TFLOPs: 28.42 |
7:  iteration      920/   37905 | consumed samples:       235520 | consumed tokens:    482344960 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.717091E+00 | grad norm: 1.390 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.253 | TFLOPs: 28.33 |
7:  iteration      930/   37905 | consumed samples:       238080 | consumed tokens:    487587840 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.648843E+00 | grad norm: 1.263 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.303 | TFLOPs: 28.51 |
7:  iteration      940/   37905 | consumed samples:       240640 | consumed tokens:    492830720 | elapsed time per iteration (s): 0.26 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.661423E+00 | grad norm: 1.221 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.634 | TFLOPs: 25.16 |
7:  iteration      950/   37905 | consumed samples:       243200 | consumed tokens:    498073600 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.684819E+00 | grad norm: 1.239 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.761 | TFLOPs: 28.17 |
7:  iteration      960/   37905 | consumed samples:       245760 | consumed tokens:    503316480 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.664439E+00 | grad norm: 1.267 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.588 | TFLOPs: 28.06 |
7:  iteration      970/   37905 | consumed samples:       248320 | consumed tokens:    508559360 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.659045E+00 | grad norm: 0.979 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.628 | TFLOPs: 28.52 |
7:  iteration      980/   37905 | consumed samples:       250880 | consumed tokens:    513802240 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.589458E+00 | grad norm: 1.097 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.608 | TFLOPs: 28.01 |
7:  iteration      990/   37905 | consumed samples:       253440 | consumed tokens:    519045120 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.647658E+00 | grad norm: 1.028 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.705 | TFLOPs: 28.24 |
7:  iteration     1000/   37905 | consumed samples:       256000 | consumed tokens:    524288000 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.581264E+00 | grad norm: 1.150 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.155 | TFLOPs: 28.33 |
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 1000 | lm loss value: 5.569238E+00 | lm loss PPL: 2.622341E+02 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    1000 to checkpoints_83slr
0: [2022-11-28 15:16:34,059] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save!
0: [2022-11-28 15:16:34,209] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:16:34,361] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:16:34,362] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/layer_03-model_00-model_states.pt...
0: [2022-11-28 15:16:34,374] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/layer_03-model_00-model_states.pt.
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0: [2022-11-28 15:16:34,385] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 15:16:34,420] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/layer_08-model_00-model_states.pt...
0: [2022-11-28 15:16:34,431] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/layer_08-model_00-model_states.pt.
0: [2022-11-28 15:16:34,431] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/layer_09-model_00-model_states.pt...
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0: [2022-11-28 15:16:34,442] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/layer_10-model_00-model_states.pt...
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0: [2022-11-28 15:16:34,453] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/layer_11-model_00-model_states.pt...
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0: [2022-11-28 15:16:34,475] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/layer_12-model_00-model_states.pt.
0: [2022-11-28 15:16:34,475] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/layer_14-model_00-model_states.pt...
0: [2022-11-28 15:16:34,476] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/layer_14-model_00-model_states.pt.
0: [2022-11-28 15:16:34,477] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step1000/mp_rank_00_model_states.pt
0: [2022-11-28 15:16:34,477] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/mp_rank_00_model_states.pt...
0: [2022-11-28 15:16:34,480] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/mp_rank_00_model_states.pt.
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,499] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,499] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:16:34,499] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt...
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7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:16:34,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step1000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:16:34,517] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:16:34,519] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:16:34,519] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
0: [2022-11-28 15:16:34,519] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
0: [2022-11-28 15:16:34,519] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:16:34,519] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt
0: [2022-11-28 15:16:34,519] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
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2: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:16:34,548] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
2: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
2: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:16:34,548] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,548] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
2: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
2: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
2: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
2: [2022-11-28 15:16:34,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
2: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
2: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
2: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
2: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
2: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
2: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
7: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
7: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:16:34,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
7: [2022-11-28 15:16:34,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,550] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,550] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
1: [2022-11-28 15:16:34,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step1000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
1: [2022-11-28 15:16:34,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now!
0:   successfully saved checkpoint at iteration    1000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 498.15
7:  iteration     1010/   37905 | consumed samples:       258560 | consumed tokens:    529530880 | elapsed time per iteration (s): 0.29 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.613244E+00 | grad norm: 1.010 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.236 | TFLOPs: 22.70 |
7:  iteration     1020/   37905 | consumed samples:       261120 | consumed tokens:    534773760 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.609228E+00 | grad norm: 1.020 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.146 | TFLOPs: 28.33 |
7:  iteration     1030/   37905 | consumed samples:       263680 | consumed tokens:    540016640 | elapsed time per iteration (s): 0.24 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.580468E+00 | grad norm: 1.007 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.930 | TFLOPs: 27.33 |
7:  iteration     1040/   37905 | consumed samples:       266240 | consumed tokens:    545259520 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.623215E+00 | grad norm: 1.116 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.172 | TFLOPs: 28.21 |
7:  iteration     1050/   37905 | consumed samples:       268800 | consumed tokens:    550502400 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.590320E+00 | grad norm: 1.313 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.452 | TFLOPs: 27.88 |
7:  iteration     1060/   37905 | consumed samples:       271360 | consumed tokens:    555745280 | elapsed time per iteration (s): 0.23 | learning rate: 1.999E-05 | global batch size:   256 | lm loss: 5.559631E+00 | grad norm: 1.272 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.654 | TFLOPs: 27.81 |
7:  iteration     1070/   37905 | consumed samples:       273920 | consumed tokens:    560988160 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.574706E+00 | grad norm: 0.972 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.577 | TFLOPs: 28.01 |
7:  iteration     1080/   37905 | consumed samples:       276480 | consumed tokens:    566231040 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.497792E+00 | grad norm: 1.061 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.983 | TFLOPs: 28.23 |
7:  iteration     1090/   37905 | consumed samples:       279040 | consumed tokens:    571473920 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.530726E+00 | grad norm: 1.184 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.794 | TFLOPs: 27.13 |
7:  iteration     1100/   37905 | consumed samples:       281600 | consumed tokens:    576716800 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.532915E+00 | grad norm: 0.993 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.471 | TFLOPs: 26.81 |
7:  iteration     1110/   37905 | consumed samples:       284160 | consumed tokens:    581959680 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.516534E+00 | grad norm: 0.939 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.891 | TFLOPs: 27.03 |
7:  iteration     1120/   37905 | consumed samples:       286720 | consumed tokens:    587202560 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.541185E+00 | grad norm: 1.274 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.593 | TFLOPs: 28.22 |
7:  iteration     1130/   37905 | consumed samples:       289280 | consumed tokens:    592445440 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.530550E+00 | grad norm: 1.290 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.394 | TFLOPs: 27.91 |
7:  iteration     1140/   37905 | consumed samples:       291840 | consumed tokens:    597688320 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.484166E+00 | grad norm: 1.082 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.336 | TFLOPs: 27.83 |
7:  iteration     1150/   37905 | consumed samples:       294400 | consumed tokens:    602931200 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.527694E+00 | grad norm: 1.085 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.911 | TFLOPs: 27.79 |
7:  iteration     1160/   37905 | consumed samples:       296960 | consumed tokens:    608174080 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.496649E+00 | grad norm: 0.986 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.539 | TFLOPs: 28.06 |
7:  iteration     1170/   37905 | consumed samples:       299520 | consumed tokens:    613416960 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.493620E+00 | grad norm: 1.196 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.764 | TFLOPs: 28.09 |
7:  iteration     1180/   37905 | consumed samples:       302080 | consumed tokens:    618659840 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.496185E+00 | grad norm: 0.936 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.751 | TFLOPs: 28.37 |
7:  iteration     1190/   37905 | consumed samples:       304640 | consumed tokens:    623902720 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.521690E+00 | grad norm: 0.936 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.124 | TFLOPs: 26.80 |
7:  iteration     1200/   37905 | consumed samples:       307200 | consumed tokens:    629145600 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.483727E+00 | grad norm: 1.110 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.020 | TFLOPs: 27.82 |
7:  iteration     1210/   37905 | consumed samples:       309760 | consumed tokens:    634388480 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.482101E+00 | grad norm: 1.007 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.113 | TFLOPs: 27.64 |
7:  iteration     1220/   37905 | consumed samples:       312320 | consumed tokens:    639631360 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.404798E+00 | grad norm: 1.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.310 | TFLOPs: 27.16 |
7:  iteration     1230/   37905 | consumed samples:       314880 | consumed tokens:    644874240 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.461530E+00 | grad norm: 1.381 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.707 | TFLOPs: 27.20 |
7:  iteration     1240/   37905 | consumed samples:       317440 | consumed tokens:    650117120 | elapsed time per iteration (s): 0.23 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.440228E+00 | grad norm: 1.381 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.030 | TFLOPs: 27.87 |
7:  iteration     1250/   37905 | consumed samples:       320000 | consumed tokens:    655360000 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.402756E+00 | grad norm: 1.584 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.179 | TFLOPs: 27.72 |
7:  iteration     1260/   37905 | consumed samples:       322560 | consumed tokens:    660602880 | elapsed time per iteration (s): 0.24 | learning rate: 1.998E-05 | global batch size:   256 | lm loss: 5.369600E+00 | grad norm: 1.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.590 | TFLOPs: 26.94 |
7:  iteration     1270/   37905 | consumed samples:       325120 | consumed tokens:    665845760 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.434169E+00 | grad norm: 1.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.817 | TFLOPs: 28.17 |
7:  iteration     1280/   37905 | consumed samples:       327680 | consumed tokens:    671088640 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.415498E+00 | grad norm: 1.754 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.921 | TFLOPs: 28.20 |
7:  iteration     1290/   37905 | consumed samples:       330240 | consumed tokens:    676331520 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.317413E+00 | grad norm: 1.204 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.732 | TFLOPs: 27.53 |
7:  iteration     1300/   37905 | consumed samples:       332800 | consumed tokens:    681574400 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.368905E+00 | grad norm: 1.132 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.496 | TFLOPs: 27.93 |
7:  iteration     1310/   37905 | consumed samples:       335360 | consumed tokens:    686817280 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.371145E+00 | grad norm: 0.934 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.704 | TFLOPs: 28.12 |
7:  iteration     1320/   37905 | consumed samples:       337920 | consumed tokens:    692060160 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.384911E+00 | grad norm: 1.127 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.585 | TFLOPs: 28.22 |
7:  iteration     1330/   37905 | consumed samples:       340480 | consumed tokens:    697303040 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.366021E+00 | grad norm: 1.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.001 | TFLOPs: 28.15 |
7:  iteration     1340/   37905 | consumed samples:       343040 | consumed tokens:    702545920 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.368393E+00 | grad norm: 1.109 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.165 | TFLOPs: 28.03 |
7:  iteration     1350/   37905 | consumed samples:       345600 | consumed tokens:    707788800 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.364303E+00 | grad norm: 1.323 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.963 | TFLOPs: 27.59 |
7:  iteration     1360/   37905 | consumed samples:       348160 | consumed tokens:    713031680 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.313480E+00 | grad norm: 1.073 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.087 | TFLOPs: 27.97 |
7:  iteration     1370/   37905 | consumed samples:       350720 | consumed tokens:    718274560 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.338930E+00 | grad norm: 1.217 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.836 | TFLOPs: 28.27 |
7:  iteration     1380/   37905 | consumed samples:       353280 | consumed tokens:    723517440 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.369643E+00 | grad norm: 0.908 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.939 | TFLOPs: 28.17 |
7:  iteration     1390/   37905 | consumed samples:       355840 | consumed tokens:    728760320 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.353809E+00 | grad norm: 1.116 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.047 | TFLOPs: 28.58 |
7:  iteration     1400/   37905 | consumed samples:       358400 | consumed tokens:    734003200 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.375800E+00 | grad norm: 0.973 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.831 | TFLOPs: 28.09 |
7:  iteration     1410/   37905 | consumed samples:       360960 | consumed tokens:    739246080 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.336566E+00 | grad norm: 1.066 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.622 | TFLOPs: 27.63 |
7:  iteration     1420/   37905 | consumed samples:       363520 | consumed tokens:    744488960 | elapsed time per iteration (s): 0.24 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.313424E+00 | grad norm: 1.069 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.268 | TFLOPs: 27.44 |
7:  iteration     1430/   37905 | consumed samples:       366080 | consumed tokens:    749731840 | elapsed time per iteration (s): 0.23 | learning rate: 1.997E-05 | global batch size:   256 | lm loss: 5.300861E+00 | grad norm: 1.174 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.247 | TFLOPs: 28.18 |
7:  iteration     1440/   37905 | consumed samples:       368640 | consumed tokens:    754974720 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.309768E+00 | grad norm: 1.060 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.577 | TFLOPs: 28.01 |
7:  iteration     1450/   37905 | consumed samples:       371200 | consumed tokens:    760217600 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.308271E+00 | grad norm: 1.305 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.972 | TFLOPs: 28.12 |
7:  iteration     1460/   37905 | consumed samples:       373760 | consumed tokens:    765460480 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.315793E+00 | grad norm: 1.156 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.322 | TFLOPs: 28.18 |
7:  iteration     1470/   37905 | consumed samples:       376320 | consumed tokens:    770703360 | elapsed time per iteration (s): 0.24 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.280978E+00 | grad norm: 1.226 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.764 | TFLOPs: 27.00 |
7:  iteration     1480/   37905 | consumed samples:       378880 | consumed tokens:    775946240 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.293051E+00 | grad norm: 1.274 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.009 | TFLOPs: 27.90 |
7:  iteration     1490/   37905 | consumed samples:       381440 | consumed tokens:    781189120 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.325150E+00 | grad norm: 1.062 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.576 | TFLOPs: 28.04 |
7:  iteration     1500/   37905 | consumed samples:       384000 | consumed tokens:    786432000 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.307524E+00 | grad norm: 1.177 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.616 | TFLOPs: 28.01 |
7:  iteration     1510/   37905 | consumed samples:       386560 | consumed tokens:    791674880 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.273313E+00 | grad norm: 1.337 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.444 | TFLOPs: 28.03 |
7:  iteration     1520/   37905 | consumed samples:       389120 | consumed tokens:    796917760 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.272105E+00 | grad norm: 1.381 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.958 | TFLOPs: 28.10 |
7:  iteration     1530/   37905 | consumed samples:       391680 | consumed tokens:    802160640 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.270712E+00 | grad norm: 1.109 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.087 | TFLOPs: 27.77 |
7:  iteration     1540/   37905 | consumed samples:       394240 | consumed tokens:    807403520 | elapsed time per iteration (s): 0.23 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.279305E+00 | grad norm: 1.187 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.274 | TFLOPs: 27.98 |
7:  iteration     1550/   37905 | consumed samples:       396800 | consumed tokens:    812646400 | elapsed time per iteration (s): 0.24 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.223978E+00 | grad norm: 1.032 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.399 | TFLOPs: 27.55 |
7:  iteration     1560/   37905 | consumed samples:       399360 | consumed tokens:    817889280 | elapsed time per iteration (s): 0.25 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.218899E+00 | grad norm: 1.176 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.156 | TFLOPs: 25.96 |
7:  iteration     1570/   37905 | consumed samples:       401920 | consumed tokens:    823132160 | elapsed time per iteration (s): 0.24 | learning rate: 1.996E-05 | global batch size:   256 | lm loss: 5.213384E+00 | grad norm: 1.046 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.800 | TFLOPs: 27.69 |
7:  iteration     1580/   37905 | consumed samples:       404480 | consumed tokens:    828375040 | elapsed time per iteration (s): 0.23 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.228938E+00 | grad norm: 1.339 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.645 | TFLOPs: 27.86 |
7:  iteration     1590/   37905 | consumed samples:       407040 | consumed tokens:    833617920 | elapsed time per iteration (s): 0.23 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.236534E+00 | grad norm: 0.992 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.244 | TFLOPs: 28.41 |
7:  iteration     1600/   37905 | consumed samples:       409600 | consumed tokens:    838860800 | elapsed time per iteration (s): 0.23 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.219597E+00 | grad norm: 1.030 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.113 | TFLOPs: 28.41 |
7:  iteration     1610/   37905 | consumed samples:       412160 | consumed tokens:    844103680 | elapsed time per iteration (s): 0.24 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.203601E+00 | grad norm: 1.222 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.595 | TFLOPs: 27.68 |
7:  iteration     1620/   37905 | consumed samples:       414720 | consumed tokens:    849346560 | elapsed time per iteration (s): 0.26 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.197789E+00 | grad norm: 1.186 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.185 | TFLOPs: 25.56 |
7:  iteration     1630/   37905 | consumed samples:       417280 | consumed tokens:    854589440 | elapsed time per iteration (s): 0.24 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.218044E+00 | grad norm: 1.135 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.633 | TFLOPs: 27.71 |
7:  iteration     1640/   37905 | consumed samples:       419840 | consumed tokens:    859832320 | elapsed time per iteration (s): 0.23 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.180680E+00 | grad norm: 1.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.907 | TFLOPs: 28.10 |
7:  iteration     1650/   37905 | consumed samples:       422400 | consumed tokens:    865075200 | elapsed time per iteration (s): 0.24 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.244629E+00 | grad norm: 1.125 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.143 | TFLOPs: 27.36 |
7:  iteration     1660/   37905 | consumed samples:       424960 | consumed tokens:    870318080 | elapsed time per iteration (s): 0.24 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.190156E+00 | grad norm: 1.084 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.887 | TFLOPs: 27.74 |
7:  iteration     1670/   37905 | consumed samples:       427520 | consumed tokens:    875560960 | elapsed time per iteration (s): 0.24 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.201627E+00 | grad norm: 1.130 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.736 | TFLOPs: 27.56 |
7:  iteration     1680/   37905 | consumed samples:       430080 | consumed tokens:    880803840 | elapsed time per iteration (s): 0.23 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.182846E+00 | grad norm: 1.016 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.837 | TFLOPs: 27.84 |
7:  iteration     1690/   37905 | consumed samples:       432640 | consumed tokens:    886046720 | elapsed time per iteration (s): 0.24 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.221526E+00 | grad norm: 1.089 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.199 | TFLOPs: 27.01 |
7:  iteration     1700/   37905 | consumed samples:       435200 | consumed tokens:    891289600 | elapsed time per iteration (s): 0.23 | learning rate: 1.995E-05 | global batch size:   256 | lm loss: 5.194604E+00 | grad norm: 1.143 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.412 | TFLOPs: 27.91 |
7:  iteration     1710/   37905 | consumed samples:       437760 | consumed tokens:    896532480 | elapsed time per iteration (s): 0.23 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.156226E+00 | grad norm: 1.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.482 | TFLOPs: 27.86 |
7:  iteration     1720/   37905 | consumed samples:       440320 | consumed tokens:    901775360 | elapsed time per iteration (s): 0.24 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.180886E+00 | grad norm: 1.467 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.151 | TFLOPs: 26.68 |
7:  iteration     1730/   37905 | consumed samples:       442880 | consumed tokens:    907018240 | elapsed time per iteration (s): 0.23 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.170372E+00 | grad norm: 1.203 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.413 | TFLOPs: 28.01 |
7:  iteration     1740/   37905 | consumed samples:       445440 | consumed tokens:    912261120 | elapsed time per iteration (s): 0.23 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.197406E+00 | grad norm: 1.235 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.725 | TFLOPs: 28.22 |
7:  iteration     1750/   37905 | consumed samples:       448000 | consumed tokens:    917504000 | elapsed time per iteration (s): 0.24 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.150542E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.173 | TFLOPs: 27.70 |
7:  iteration     1760/   37905 | consumed samples:       450560 | consumed tokens:    922746880 | elapsed time per iteration (s): 0.25 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.176936E+00 | grad norm: 0.963 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.729 | TFLOPs: 26.61 |
7:  iteration     1770/   37905 | consumed samples:       453120 | consumed tokens:    927989760 | elapsed time per iteration (s): 0.23 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.128370E+00 | grad norm: 1.021 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.500 | TFLOPs: 27.78 |
7:  iteration     1780/   37905 | consumed samples:       455680 | consumed tokens:    933232640 | elapsed time per iteration (s): 0.23 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.115335E+00 | grad norm: 1.155 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.768 | TFLOPs: 28.02 |
7:  iteration     1790/   37905 | consumed samples:       458240 | consumed tokens:    938475520 | elapsed time per iteration (s): 0.24 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.169933E+00 | grad norm: 1.220 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.666 | TFLOPs: 27.53 |
7:  iteration     1800/   37905 | consumed samples:       460800 | consumed tokens:    943718400 | elapsed time per iteration (s): 0.24 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.136059E+00 | grad norm: 1.224 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.182 | TFLOPs: 27.21 |
7:  iteration     1810/   37905 | consumed samples:       463360 | consumed tokens:    948961280 | elapsed time per iteration (s): 0.23 | learning rate: 1.994E-05 | global batch size:   256 | lm loss: 5.160623E+00 | grad norm: 1.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.466 | TFLOPs: 28.21 |
7:  iteration     1820/   37905 | consumed samples:       465920 | consumed tokens:    954204160 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.119543E+00 | grad norm: 1.005 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.750 | TFLOPs: 27.05 |
7:  iteration     1830/   37905 | consumed samples:       468480 | consumed tokens:    959447040 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.118537E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.279 | TFLOPs: 27.88 |
7:  iteration     1840/   37905 | consumed samples:       471040 | consumed tokens:    964689920 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.113050E+00 | grad norm: 1.219 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.162 | TFLOPs: 27.72 |
7:  iteration     1850/   37905 | consumed samples:       473600 | consumed tokens:    969932800 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.126064E+00 | grad norm: 1.175 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.336 | TFLOPs: 28.03 |
7:  iteration     1860/   37905 | consumed samples:       476160 | consumed tokens:    975175680 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.082014E+00 | grad norm: 1.073 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.577 | TFLOPs: 27.32 |
7:  iteration     1870/   37905 | consumed samples:       478720 | consumed tokens:    980418560 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.086240E+00 | grad norm: 1.161 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.948 | TFLOPs: 27.74 |
7:  iteration     1880/   37905 | consumed samples:       481280 | consumed tokens:    985661440 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.074445E+00 | grad norm: 1.361 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.937 | TFLOPs: 28.05 |
7:  iteration     1890/   37905 | consumed samples:       483840 | consumed tokens:    990904320 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.101596E+00 | grad norm: 1.108 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.422 | TFLOPs: 27.80 |
7:  iteration     1900/   37905 | consumed samples:       486400 | consumed tokens:    996147200 | elapsed time per iteration (s): 0.25 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.053889E+00 | grad norm: 1.269 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.590 | TFLOPs: 25.85 |
7:  iteration     1910/   37905 | consumed samples:       488960 | consumed tokens:   1001390080 | elapsed time per iteration (s): 0.23 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.120135E+00 | grad norm: 1.089 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.847 | TFLOPs: 27.99 |
7:  iteration     1920/   37905 | consumed samples:       491520 | consumed tokens:   1006632960 | elapsed time per iteration (s): 0.24 | learning rate: 1.993E-05 | global batch size:   256 | lm loss: 5.057727E+00 | grad norm: 1.080 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.021 | TFLOPs: 27.67 |
7:  iteration     1930/   37905 | consumed samples:       494080 | consumed tokens:   1011875840 | elapsed time per iteration (s): 0.24 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.060526E+00 | grad norm: 1.113 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.230 | TFLOPs: 27.39 |
7:  iteration     1940/   37905 | consumed samples:       496640 | consumed tokens:   1017118720 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.067957E+00 | grad norm: 1.162 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.619 | TFLOPs: 27.96 |
7:  iteration     1950/   37905 | consumed samples:       499200 | consumed tokens:   1022361600 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.033983E+00 | grad norm: 1.247 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.902 | TFLOPs: 27.87 |
7:  iteration     1960/   37905 | consumed samples:       501760 | consumed tokens:   1027604480 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.122198E+00 | grad norm: 1.188 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.838 | TFLOPs: 28.25 |
7:  iteration     1970/   37905 | consumed samples:       504320 | consumed tokens:   1032847360 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.096598E+00 | grad norm: 1.123 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.495 | TFLOPs: 28.49 |
7:  iteration     1980/   37905 | consumed samples:       506880 | consumed tokens:   1038090240 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.068076E+00 | grad norm: 1.150 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.707 | TFLOPs: 28.02 |
7:  iteration     1990/   37905 | consumed samples:       509440 | consumed tokens:   1043333120 | elapsed time per iteration (s): 0.24 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.063201E+00 | grad norm: 1.218 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.638 | TFLOPs: 27.63 |
0: [2022-11-28 15:20:29,646] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[1.991725929053136e-05, 1.991725929053136e-05, 1.991725929053136e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration     2000/   37905 | consumed samples:       512000 | consumed tokens:   1048576000 | elapsed time per iteration (s): 0.23 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.078617E+00 | grad norm: 0.903 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.680 | TFLOPs: 28.07 |
0: steps: 2000 loss: 5.1106 iter time (s): 0.241 samples/sec: 1061.033
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 2000 | lm loss value: 4.916785E+00 | lm loss PPL: 1.365629E+02 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    2000 to checkpoints_83slr
0: [2022-11-28 15:20:29,735] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save!
0: [2022-11-28 15:20:29,739] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:20:29,810] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:20:29,811] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_03-model_00-model_states.pt...
0: [2022-11-28 15:20:29,822] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_03-model_00-model_states.pt.
0: [2022-11-28 15:20:29,823] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_04-model_00-model_states.pt...
0: [2022-11-28 15:20:29,834] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_04-model_00-model_states.pt.
0: [2022-11-28 15:20:29,834] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_05-model_00-model_states.pt...
0: [2022-11-28 15:20:29,845] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_05-model_00-model_states.pt.
0: [2022-11-28 15:20:29,845] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_06-model_00-model_states.pt...
0: [2022-11-28 15:20:29,856] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_06-model_00-model_states.pt.
0: [2022-11-28 15:20:29,856] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_07-model_00-model_states.pt...
0: [2022-11-28 15:20:29,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_07-model_00-model_states.pt.
0: [2022-11-28 15:20:29,867] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_08-model_00-model_states.pt...
0: [2022-11-28 15:20:29,878] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_08-model_00-model_states.pt.
0: [2022-11-28 15:20:29,878] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_09-model_00-model_states.pt...
0: [2022-11-28 15:20:29,889] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_09-model_00-model_states.pt.
0: [2022-11-28 15:20:29,889] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_10-model_00-model_states.pt...
0: [2022-11-28 15:20:29,900] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_10-model_00-model_states.pt.
0: [2022-11-28 15:20:29,900] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_11-model_00-model_states.pt...
0: [2022-11-28 15:20:29,911] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_11-model_00-model_states.pt.
0: [2022-11-28 15:20:29,911] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_12-model_00-model_states.pt...
0: [2022-11-28 15:20:29,922] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_12-model_00-model_states.pt.
0: [2022-11-28 15:20:29,922] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/layer_14-model_00-model_states.pt...
0: [2022-11-28 15:20:29,923] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/layer_14-model_00-model_states.pt.
0: [2022-11-28 15:20:29,924] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step2000/mp_rank_00_model_states.pt
0: [2022-11-28 15:20:29,924] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/mp_rank_00_model_states.pt...
0: [2022-11-28 15:20:29,926] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/mp_rank_00_model_states.pt.
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:20:29,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step2000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt...
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6: [2022-11-28 15:20:29,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
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2: [2022-11-28 15:20:29,968] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:20:29,968] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt
2: [2022-11-28 15:20:29,968] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
6: [2022-11-28 15:20:29,968] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:20:29,968] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt
6: [2022-11-28 15:20:29,968] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
6: [2022-11-28 15:20:29,968] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:20:29,968] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt
6: [2022-11-28 15:20:29,968] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
1: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:20:29,969] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
1: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
7: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:20:29,969] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt
6: [2022-11-28 15:20:29,969] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt
7: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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4: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:20:29,969] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
4: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
2: [2022-11-28 15:20:29,969] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:20:29,969] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt
2: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
3: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt.
3: [2022-11-28 15:20:29,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
7: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:20:29,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
3: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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5: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt.
5: [2022-11-28 15:20:29,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt
0: [2022-11-28 15:20:29,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
4: [2022-11-28 15:20:29,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
5: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
1: [2022-11-28 15:20:29,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
0: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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3: [2022-11-28 15:20:29,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
6: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt.
3: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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4: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:20:29,971] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
6: [2022-11-28 15:20:29,970] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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1: [2022-11-28 15:20:29,971] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:20:29,971] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt
1: [2022-11-28 15:20:29,971] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
0: [2022-11-28 15:20:29,971] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:20:29,971] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:20:29,971] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
7: [2022-11-28 15:20:29,971] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
0: [2022-11-28 15:20:29,971] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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2: [2022-11-28 15:20:29,971] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 15:20:29,971] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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2: [2022-11-28 15:20:29,971] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
3: [2022-11-28 15:20:29,971] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:20:29,972] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
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3: [2022-11-28 15:20:29,972] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
5: [2022-11-28 15:20:29,974] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt.
5: [2022-11-28 15:20:29,974] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt
5: [2022-11-28 15:20:29,974] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
6: [2022-11-28 15:20:29,974] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:20:29,974] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt
6: [2022-11-28 15:20:29,975] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now!
0:   successfully saved checkpoint at iteration    2000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 243.54
7:  iteration     2010/   37905 | consumed samples:       514560 | consumed tokens:   1053818880 | elapsed time per iteration (s): 0.26 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.102845E+00 | grad norm: 1.672 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.563 | TFLOPs: 24.88 |
7:  iteration     2020/   37905 | consumed samples:       517120 | consumed tokens:   1059061760 | elapsed time per iteration (s): 0.24 | learning rate: 1.992E-05 | global batch size:   256 | lm loss: 5.097681E+00 | grad norm: 1.307 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.714 | TFLOPs: 27.17 |
7:  iteration     2030/   37905 | consumed samples:       519680 | consumed tokens:   1064304640 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.007050E+00 | grad norm: 1.046 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.894 | TFLOPs: 28.02 |
7:  iteration     2040/   37905 | consumed samples:       522240 | consumed tokens:   1069547520 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.045036E+00 | grad norm: 1.079 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.321 | TFLOPs: 27.80 |
7:  iteration     2050/   37905 | consumed samples:       524800 | consumed tokens:   1074790400 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.056786E+00 | grad norm: 1.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.695 | TFLOPs: 28.09 |
7:  iteration     2060/   37905 | consumed samples:       527360 | consumed tokens:   1080033280 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.034393E+00 | grad norm: 1.276 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.280 | TFLOPs: 27.90 |
7:  iteration     2070/   37905 | consumed samples:       529920 | consumed tokens:   1085276160 | elapsed time per iteration (s): 0.24 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.003758E+00 | grad norm: 1.139 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.794 | TFLOPs: 26.97 |
7:  iteration     2080/   37905 | consumed samples:       532480 | consumed tokens:   1090519040 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.024651E+00 | grad norm: 1.224 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.109 | TFLOPs: 27.92 |
7:  iteration     2090/   37905 | consumed samples:       535040 | consumed tokens:   1095761920 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.021620E+00 | grad norm: 1.273 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.390 | TFLOPs: 27.80 |
7:  iteration     2100/   37905 | consumed samples:       537600 | consumed tokens:   1101004800 | elapsed time per iteration (s): 0.25 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 5.015491E+00 | grad norm: 1.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.955 | TFLOPs: 26.03 |
7:  iteration     2110/   37905 | consumed samples:       540160 | consumed tokens:   1106247680 | elapsed time per iteration (s): 0.23 | learning rate: 1.991E-05 | global batch size:   256 | lm loss: 4.988928E+00 | grad norm: 1.285 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.707 | TFLOPs: 28.24 |
7:  iteration     2120/   37905 | consumed samples:       542720 | consumed tokens:   1111490560 | elapsed time per iteration (s): 0.23 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 5.004118E+00 | grad norm: 1.077 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.559 | TFLOPs: 28.11 |
7:  iteration     2130/   37905 | consumed samples:       545280 | consumed tokens:   1116733440 | elapsed time per iteration (s): 0.23 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 5.010638E+00 | grad norm: 1.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.872 | TFLOPs: 28.30 |
7:  iteration     2140/   37905 | consumed samples:       547840 | consumed tokens:   1121976320 | elapsed time per iteration (s): 0.24 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 5.001253E+00 | grad norm: 1.284 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.092 | TFLOPs: 27.72 |
7:  iteration     2150/   37905 | consumed samples:       550400 | consumed tokens:   1127219200 | elapsed time per iteration (s): 0.23 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 4.979455E+00 | grad norm: 1.239 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.052 | TFLOPs: 28.28 |
7:  iteration     2160/   37905 | consumed samples:       552960 | consumed tokens:   1132462080 | elapsed time per iteration (s): 0.25 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 4.996559E+00 | grad norm: 1.079 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.690 | TFLOPs: 25.95 |
7:  iteration     2170/   37905 | consumed samples:       555520 | consumed tokens:   1137704960 | elapsed time per iteration (s): 0.23 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 5.004385E+00 | grad norm: 1.255 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.111 | TFLOPs: 27.97 |
7:  iteration     2180/   37905 | consumed samples:       558080 | consumed tokens:   1142947840 | elapsed time per iteration (s): 0.24 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 5.014856E+00 | grad norm: 1.257 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.428 | TFLOPs: 27.40 |
7:  iteration     2190/   37905 | consumed samples:       560640 | consumed tokens:   1148190720 | elapsed time per iteration (s): 0.24 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 4.995805E+00 | grad norm: 1.073 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1069.045 | TFLOPs: 27.23 |
7:  iteration     2200/   37905 | consumed samples:       563200 | consumed tokens:   1153433600 | elapsed time per iteration (s): 0.24 | learning rate: 1.990E-05 | global batch size:   256 | lm loss: 5.010432E+00 | grad norm: 1.208 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.903 | TFLOPs: 27.56 |
7:  iteration     2210/   37905 | consumed samples:       565760 | consumed tokens:   1158676480 | elapsed time per iteration (s): 0.23 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 4.965813E+00 | grad norm: 1.340 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.311 | TFLOPs: 27.83 |
7:  iteration     2220/   37905 | consumed samples:       568320 | consumed tokens:   1163919360 | elapsed time per iteration (s): 0.24 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 5.021372E+00 | grad norm: 1.224 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.527 | TFLOPs: 27.07 |
7:  iteration     2230/   37905 | consumed samples:       570880 | consumed tokens:   1169162240 | elapsed time per iteration (s): 0.23 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 4.982442E+00 | grad norm: 1.191 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.009 | TFLOPs: 28.12 |
7:  iteration     2240/   37905 | consumed samples:       573440 | consumed tokens:   1174405120 | elapsed time per iteration (s): 0.23 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 5.007598E+00 | grad norm: 1.267 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.149 | TFLOPs: 28.20 |
7:  iteration     2250/   37905 | consumed samples:       576000 | consumed tokens:   1179648000 | elapsed time per iteration (s): 0.25 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 4.961131E+00 | grad norm: 1.158 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.482 | TFLOPs: 26.12 |
7:  iteration     2260/   37905 | consumed samples:       578560 | consumed tokens:   1184890880 | elapsed time per iteration (s): 0.23 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 4.931941E+00 | grad norm: 1.125 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.768 | TFLOPs: 27.76 |
7:  iteration     2270/   37905 | consumed samples:       581120 | consumed tokens:   1190133760 | elapsed time per iteration (s): 0.24 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 4.916092E+00 | grad norm: 1.678 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.615 | TFLOPs: 27.45 |
7:  iteration     2280/   37905 | consumed samples:       583680 | consumed tokens:   1195376640 | elapsed time per iteration (s): 0.23 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 4.937496E+00 | grad norm: 1.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.967 | TFLOPs: 27.87 |
7:  iteration     2290/   37905 | consumed samples:       586240 | consumed tokens:   1200619520 | elapsed time per iteration (s): 0.24 | learning rate: 1.989E-05 | global batch size:   256 | lm loss: 4.970602E+00 | grad norm: 1.192 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.534 | TFLOPs: 27.32 |
7:  iteration     2300/   37905 | consumed samples:       588800 | consumed tokens:   1205862400 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.949070E+00 | grad norm: 1.371 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.003 | TFLOPs: 28.25 |
7:  iteration     2310/   37905 | consumed samples:       591360 | consumed tokens:   1211105280 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.955563E+00 | grad norm: 1.168 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.869 | TFLOPs: 28.07 |
7:  iteration     2320/   37905 | consumed samples:       593920 | consumed tokens:   1216348160 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.965214E+00 | grad norm: 1.615 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.386 | TFLOPs: 28.44 |
7:  iteration     2330/   37905 | consumed samples:       596480 | consumed tokens:   1221591040 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.890485E+00 | grad norm: 1.363 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.028 | TFLOPs: 28.00 |
7:  iteration     2340/   37905 | consumed samples:       599040 | consumed tokens:   1226833920 | elapsed time per iteration (s): 0.25 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.905251E+00 | grad norm: 1.304 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.032 | TFLOPs: 26.52 |
7:  iteration     2350/   37905 | consumed samples:       601600 | consumed tokens:   1232076800 | elapsed time per iteration (s): 0.25 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.945600E+00 | grad norm: 1.225 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.813 | TFLOPs: 25.67 |
7:  iteration     2360/   37905 | consumed samples:       604160 | consumed tokens:   1237319680 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.940348E+00 | grad norm: 1.306 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.295 | TFLOPs: 28.23 |
7:  iteration     2370/   37905 | consumed samples:       606720 | consumed tokens:   1242562560 | elapsed time per iteration (s): 0.23 | learning rate: 1.988E-05 | global batch size:   256 | lm loss: 4.952702E+00 | grad norm: 1.126 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.112 | TFLOPs: 28.33 |
7:  iteration     2380/   37905 | consumed samples:       609280 | consumed tokens:   1247805440 | elapsed time per iteration (s): 0.24 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.927219E+00 | grad norm: 1.009 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.569 | TFLOPs: 27.22 |
7:  iteration     2390/   37905 | consumed samples:       611840 | consumed tokens:   1253048320 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.923145E+00 | grad norm: 1.136 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.123 | TFLOPs: 28.26 |
7:  iteration     2400/   37905 | consumed samples:       614400 | consumed tokens:   1258291200 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.952599E+00 | grad norm: 0.982 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.868 | TFLOPs: 28.43 |
7:  iteration     2410/   37905 | consumed samples:       616960 | consumed tokens:   1263534080 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.958691E+00 | grad norm: 1.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.203 | TFLOPs: 28.00 |
7:  iteration     2420/   37905 | consumed samples:       619520 | consumed tokens:   1268776960 | elapsed time per iteration (s): 0.24 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.903740E+00 | grad norm: 1.800 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.183 | TFLOPs: 26.65 |
7:  iteration     2430/   37905 | consumed samples:       622080 | consumed tokens:   1274019840 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.923309E+00 | grad norm: 1.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.783 | TFLOPs: 28.14 |
7:  iteration     2440/   37905 | consumed samples:       624640 | consumed tokens:   1279262720 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.908126E+00 | grad norm: 1.323 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.030 | TFLOPs: 27.79 |
7:  iteration     2450/   37905 | consumed samples:       627200 | consumed tokens:   1284505600 | elapsed time per iteration (s): 0.23 | learning rate: 1.987E-05 | global batch size:   256 | lm loss: 4.911746E+00 | grad norm: 1.197 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.311 | TFLOPs: 28.29 |
7:  iteration     2460/   37905 | consumed samples:       629760 | consumed tokens:   1289748480 | elapsed time per iteration (s): 0.24 | learning rate: 1.986E-05 | global batch size:   256 | lm loss: 4.939505E+00 | grad norm: 1.204 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.487 | TFLOPs: 27.70 |
7:  iteration     2470/   37905 | consumed samples:       632320 | consumed tokens:   1294991360 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-05 | global batch size:   256 | lm loss: 4.890236E+00 | grad norm: 1.268 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.301 | TFLOPs: 28.13 |
7:  iteration     2480/   37905 | consumed samples:       634880 | consumed tokens:   1300234240 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-05 | global batch size:   256 | lm loss: 4.869295E+00 | grad norm: 1.270 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.923 | TFLOPs: 28.35 |
7:  iteration     2490/   37905 | consumed samples:       637440 | consumed tokens:   1305477120 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-05 | global batch size:   256 | lm loss: 4.867676E+00 | grad norm: 1.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.399 | TFLOPs: 28.36 |
7:  iteration     2500/   37905 | consumed samples:       640000 | consumed tokens:   1310720000 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-05 | global batch size:   256 | lm loss: 4.912804E+00 | grad norm: 1.186 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.168 | TFLOPs: 28.61 |
7:  iteration     2510/   37905 | consumed samples:       642560 | consumed tokens:   1315962880 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-05 | global batch size:   256 | lm loss: 4.928391E+00 | grad norm: 1.239 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.308 | TFLOPs: 28.18 |
7:  iteration     2520/   37905 | consumed samples:       645120 | consumed tokens:   1321205760 | elapsed time per iteration (s): 0.23 | learning rate: 1.986E-05 | global batch size:   256 | lm loss: 4.886596E+00 | grad norm: 1.196 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.881 | TFLOPs: 28.15 |
7:  iteration     2530/   37905 | consumed samples:       647680 | consumed tokens:   1326448640 | elapsed time per iteration (s): 0.25 | learning rate: 1.985E-05 | global batch size:   256 | lm loss: 4.876721E+00 | grad norm: 1.781 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1036.453 | TFLOPs: 26.40 |
7:  iteration     2540/   37905 | consumed samples:       650240 | consumed tokens:   1331691520 | elapsed time per iteration (s): 0.24 | learning rate: 1.985E-05 | global batch size:   256 | lm loss: 4.850571E+00 | grad norm: 1.385 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.093 | TFLOPs: 27.21 |
7:  iteration     2550/   37905 | consumed samples:       652800 | consumed tokens:   1336934400 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-05 | global batch size:   256 | lm loss: 4.834285E+00 | grad norm: 1.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.656 | TFLOPs: 28.19 |
7:  iteration     2560/   37905 | consumed samples:       655360 | consumed tokens:   1342177280 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-05 | global batch size:   256 | lm loss: 4.862656E+00 | grad norm: 1.174 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.338 | TFLOPs: 28.24 |
7:  iteration     2570/   37905 | consumed samples:       657920 | consumed tokens:   1347420160 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-05 | global batch size:   256 | lm loss: 4.866416E+00 | grad norm: 1.426 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.444 | TFLOPs: 28.37 |
7:  iteration     2580/   37905 | consumed samples:       660480 | consumed tokens:   1352663040 | elapsed time per iteration (s): 0.24 | learning rate: 1.985E-05 | global batch size:   256 | lm loss: 4.889545E+00 | grad norm: 1.345 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.658 | TFLOPs: 26.66 |
7:  iteration     2590/   37905 | consumed samples:       663040 | consumed tokens:   1357905920 | elapsed time per iteration (s): 0.23 | learning rate: 1.985E-05 | global batch size:   256 | lm loss: 4.860768E+00 | grad norm: 1.206 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.195 | TFLOPs: 28.56 |
7:  iteration     2600/   37905 | consumed samples:       665600 | consumed tokens:   1363148800 | elapsed time per iteration (s): 0.23 | learning rate: 1.984E-05 | global batch size:   256 | lm loss: 4.846243E+00 | grad norm: 1.345 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.386 | TFLOPs: 28.24 |
7:  iteration     2610/   37905 | consumed samples:       668160 | consumed tokens:   1368391680 | elapsed time per iteration (s): 0.23 | learning rate: 1.984E-05 | global batch size:   256 | lm loss: 4.870268E+00 | grad norm: 1.153 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.155 | TFLOPs: 28.33 |
7:  iteration     2620/   37905 | consumed samples:       670720 | consumed tokens:   1373634560 | elapsed time per iteration (s): 0.24 | learning rate: 1.984E-05 | global batch size:   256 | lm loss: 4.869707E+00 | grad norm: 1.072 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1079.791 | TFLOPs: 27.51 |
7:  iteration     2630/   37905 | consumed samples:       673280 | consumed tokens:   1378877440 | elapsed time per iteration (s): 0.26 | learning rate: 1.984E-05 | global batch size:   256 | lm loss: 4.842843E+00 | grad norm: 1.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 979.759 | TFLOPs: 24.96 |
7:  iteration     2640/   37905 | consumed samples:       675840 | consumed tokens:   1384120320 | elapsed time per iteration (s): 0.23 | learning rate: 1.984E-05 | global batch size:   256 | lm loss: 4.882951E+00 | grad norm: 1.216 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.714 | TFLOPs: 28.24 |
7:  iteration     2650/   37905 | consumed samples:       678400 | consumed tokens:   1389363200 | elapsed time per iteration (s): 0.27 | learning rate: 1.984E-05 | global batch size:   256 | lm loss: 4.845347E+00 | grad norm: 1.140 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.108 | TFLOPs: 24.20 |
7:  iteration     2660/   37905 | consumed samples:       680960 | consumed tokens:   1394606080 | elapsed time per iteration (s): 0.25 | learning rate: 1.984E-05 | global batch size:   256 | lm loss: 4.844957E+00 | grad norm: 1.307 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.016 | TFLOPs: 25.68 |
7:  iteration     2670/   37905 | consumed samples:       683520 | consumed tokens:   1399848960 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-05 | global batch size:   256 | lm loss: 4.850158E+00 | grad norm: 1.030 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.675 | TFLOPs: 28.35 |
7:  iteration     2680/   37905 | consumed samples:       686080 | consumed tokens:   1405091840 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-05 | global batch size:   256 | lm loss: 4.803505E+00 | grad norm: 1.307 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.916 | TFLOPs: 28.12 |
7:  iteration     2690/   37905 | consumed samples:       688640 | consumed tokens:   1410334720 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-05 | global batch size:   256 | lm loss: 4.829625E+00 | grad norm: 1.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.163 | TFLOPs: 27.95 |
7:  iteration     2700/   37905 | consumed samples:       691200 | consumed tokens:   1415577600 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-05 | global batch size:   256 | lm loss: 4.850546E+00 | grad norm: 1.178 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.747 | TFLOPs: 27.86 |
7:  iteration     2710/   37905 | consumed samples:       693760 | consumed tokens:   1420820480 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-05 | global batch size:   256 | lm loss: 4.785480E+00 | grad norm: 1.239 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.388 | TFLOPs: 28.41 |
7:  iteration     2720/   37905 | consumed samples:       696320 | consumed tokens:   1426063360 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-05 | global batch size:   256 | lm loss: 4.848977E+00 | grad norm: 1.287 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.074 | TFLOPs: 27.82 |
7:  iteration     2730/   37905 | consumed samples:       698880 | consumed tokens:   1431306240 | elapsed time per iteration (s): 0.23 | learning rate: 1.983E-05 | global batch size:   256 | lm loss: 4.812495E+00 | grad norm: 1.147 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.794 | TFLOPs: 28.32 |
7:  iteration     2740/   37905 | consumed samples:       701440 | consumed tokens:   1436549120 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-05 | global batch size:   256 | lm loss: 4.786763E+00 | grad norm: 1.319 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.537 | TFLOPs: 28.21 |
7:  iteration     2750/   37905 | consumed samples:       704000 | consumed tokens:   1441792000 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-05 | global batch size:   256 | lm loss: 4.797295E+00 | grad norm: 1.210 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.338 | TFLOPs: 28.26 |
7:  iteration     2760/   37905 | consumed samples:       706560 | consumed tokens:   1447034880 | elapsed time per iteration (s): 0.24 | learning rate: 1.982E-05 | global batch size:   256 | lm loss: 4.808109E+00 | grad norm: 1.333 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.710 | TFLOPs: 27.66 |
7:  iteration     2770/   37905 | consumed samples:       709120 | consumed tokens:   1452277760 | elapsed time per iteration (s): 0.24 | learning rate: 1.982E-05 | global batch size:   256 | lm loss: 4.835011E+00 | grad norm: 1.350 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.069 | TFLOPs: 27.11 |
7:  iteration     2780/   37905 | consumed samples:       711680 | consumed tokens:   1457520640 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-05 | global batch size:   256 | lm loss: 4.801920E+00 | grad norm: 1.098 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.995 | TFLOPs: 27.84 |
7:  iteration     2790/   37905 | consumed samples:       714240 | consumed tokens:   1462763520 | elapsed time per iteration (s): 0.23 | learning rate: 1.982E-05 | global batch size:   256 | lm loss: 4.803501E+00 | grad norm: 1.243 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.438 | TFLOPs: 28.08 |
7:  iteration     2800/   37905 | consumed samples:       716800 | consumed tokens:   1468006400 | elapsed time per iteration (s): 0.25 | learning rate: 1.982E-05 | global batch size:   256 | lm loss: 4.847554E+00 | grad norm: 1.293 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.266 | TFLOPs: 26.25 |
7:  iteration     2810/   37905 | consumed samples:       719360 | consumed tokens:   1473249280 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-05 | global batch size:   256 | lm loss: 4.767524E+00 | grad norm: 1.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.013 | TFLOPs: 28.12 |
7:  iteration     2820/   37905 | consumed samples:       721920 | consumed tokens:   1478492160 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-05 | global batch size:   256 | lm loss: 4.832565E+00 | grad norm: 1.080 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.629 | TFLOPs: 27.91 |
7:  iteration     2830/   37905 | consumed samples:       724480 | consumed tokens:   1483735040 | elapsed time per iteration (s): 0.25 | learning rate: 1.981E-05 | global batch size:   256 | lm loss: 4.823809E+00 | grad norm: 1.377 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.373 | TFLOPs: 25.94 |
7:  iteration     2840/   37905 | consumed samples:       727040 | consumed tokens:   1488977920 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-05 | global batch size:   256 | lm loss: 4.784271E+00 | grad norm: 1.173 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.553 | TFLOPs: 28.04 |
7:  iteration     2850/   37905 | consumed samples:       729600 | consumed tokens:   1494220800 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-05 | global batch size:   256 | lm loss: 4.786616E+00 | grad norm: 1.086 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.074 | TFLOPs: 28.05 |
7:  iteration     2860/   37905 | consumed samples:       732160 | consumed tokens:   1499463680 | elapsed time per iteration (s): 0.24 | learning rate: 1.981E-05 | global batch size:   256 | lm loss: 4.796550E+00 | grad norm: 1.174 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.963 | TFLOPs: 26.88 |
7:  iteration     2870/   37905 | consumed samples:       734720 | consumed tokens:   1504706560 | elapsed time per iteration (s): 0.23 | learning rate: 1.981E-05 | global batch size:   256 | lm loss: 4.789269E+00 | grad norm: 1.197 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.974 | TFLOPs: 28.23 |
7:  iteration     2880/   37905 | consumed samples:       737280 | consumed tokens:   1509949440 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-05 | global batch size:   256 | lm loss: 4.784370E+00 | grad norm: 1.153 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.712 | TFLOPs: 28.37 |
7:  iteration     2890/   37905 | consumed samples:       739840 | consumed tokens:   1515192320 | elapsed time per iteration (s): 0.25 | learning rate: 1.980E-05 | global batch size:   256 | lm loss: 4.768596E+00 | grad norm: 1.189 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.951 | TFLOPs: 26.39 |
7:  iteration     2900/   37905 | consumed samples:       742400 | consumed tokens:   1520435200 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-05 | global batch size:   256 | lm loss: 4.762201E+00 | grad norm: 1.120 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.030 | TFLOPs: 28.30 |
7:  iteration     2910/   37905 | consumed samples:       744960 | consumed tokens:   1525678080 | elapsed time per iteration (s): 0.24 | learning rate: 1.980E-05 | global batch size:   256 | lm loss: 4.785741E+00 | grad norm: 1.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.220 | TFLOPs: 26.88 |
7:  iteration     2920/   37905 | consumed samples:       747520 | consumed tokens:   1530920960 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-05 | global batch size:   256 | lm loss: 4.735605E+00 | grad norm: 1.307 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.037 | TFLOPs: 27.87 |
7:  iteration     2930/   37905 | consumed samples:       750080 | consumed tokens:   1536163840 | elapsed time per iteration (s): 0.23 | learning rate: 1.980E-05 | global batch size:   256 | lm loss: 4.734734E+00 | grad norm: 1.394 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.955 | TFLOPs: 28.35 |
7:  iteration     2940/   37905 | consumed samples:       752640 | consumed tokens:   1541406720 | elapsed time per iteration (s): 0.23 | learning rate: 1.979E-05 | global batch size:   256 | lm loss: 4.748743E+00 | grad norm: 1.204 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.828 | TFLOPs: 27.89 |
7:  iteration     2950/   37905 | consumed samples:       755200 | consumed tokens:   1546649600 | elapsed time per iteration (s): 0.23 | learning rate: 1.979E-05 | global batch size:   256 | lm loss: 4.734910E+00 | grad norm: 1.179 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.441 | TFLOPs: 28.24 |
7:  iteration     2960/   37905 | consumed samples:       757760 | consumed tokens:   1551892480 | elapsed time per iteration (s): 0.28 | learning rate: 1.979E-05 | global batch size:   256 | lm loss: 4.785716E+00 | grad norm: 1.284 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.868 | TFLOPs: 23.23 |
7:  iteration     2970/   37905 | consumed samples:       760320 | consumed tokens:   1557135360 | elapsed time per iteration (s): 0.23 | learning rate: 1.979E-05 | global batch size:   256 | lm loss: 4.784975E+00 | grad norm: 1.287 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.907 | TFLOPs: 28.38 |
7:  iteration     2980/   37905 | consumed samples:       762880 | consumed tokens:   1562378240 | elapsed time per iteration (s): 0.24 | learning rate: 1.979E-05 | global batch size:   256 | lm loss: 4.756064E+00 | grad norm: 1.208 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.432 | TFLOPs: 26.73 |
7:  iteration     2990/   37905 | consumed samples:       765440 | consumed tokens:   1567621120 | elapsed time per iteration (s): 0.24 | learning rate: 1.979E-05 | global batch size:   256 | lm loss: 4.748055E+00 | grad norm: 1.171 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.960 | TFLOPs: 26.72 |
7:  iteration     3000/   37905 | consumed samples:       768000 | consumed tokens:   1572864000 | elapsed time per iteration (s): 0.24 | learning rate: 1.978E-05 | global batch size:   256 | lm loss: 4.756583E+00 | grad norm: 1.225 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.278 | TFLOPs: 26.88 |
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 3000 | lm loss value: 4.605848E+00 | lm loss PPL: 1.000678E+02 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    3000 to checkpoints_83slr
0: [2022-11-28 15:24:26,571] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save!
0: [2022-11-28 15:24:26,574] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:24:26,645] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:24:26,646] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_03-model_00-model_states.pt...
0: [2022-11-28 15:24:26,658] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_03-model_00-model_states.pt.
0: [2022-11-28 15:24:26,658] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_04-model_00-model_states.pt...
0: [2022-11-28 15:24:26,669] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_04-model_00-model_states.pt.
0: [2022-11-28 15:24:26,670] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_05-model_00-model_states.pt...
0: [2022-11-28 15:24:26,681] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_05-model_00-model_states.pt.
0: [2022-11-28 15:24:26,681] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_06-model_00-model_states.pt...
0: [2022-11-28 15:24:26,692] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_06-model_00-model_states.pt.
0: [2022-11-28 15:24:26,692] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_07-model_00-model_states.pt...
0: [2022-11-28 15:24:26,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_07-model_00-model_states.pt.
0: [2022-11-28 15:24:26,704] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_08-model_00-model_states.pt...
0: [2022-11-28 15:24:26,715] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_08-model_00-model_states.pt.
0: [2022-11-28 15:24:26,715] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_09-model_00-model_states.pt...
0: [2022-11-28 15:24:26,726] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_09-model_00-model_states.pt.
0: [2022-11-28 15:24:26,726] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_10-model_00-model_states.pt...
0: [2022-11-28 15:24:26,737] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_10-model_00-model_states.pt.
0: [2022-11-28 15:24:26,737] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_11-model_00-model_states.pt...
0: [2022-11-28 15:24:26,748] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_11-model_00-model_states.pt.
0: [2022-11-28 15:24:26,749] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_12-model_00-model_states.pt...
0: [2022-11-28 15:24:26,760] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_12-model_00-model_states.pt.
0: [2022-11-28 15:24:26,760] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/layer_14-model_00-model_states.pt...
0: [2022-11-28 15:24:26,761] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/layer_14-model_00-model_states.pt.
0: [2022-11-28 15:24:26,762] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step3000/mp_rank_00_model_states.pt
0: [2022-11-28 15:24:26,762] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/mp_rank_00_model_states.pt...
0: [2022-11-28 15:24:26,763] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/mp_rank_00_model_states.pt.
0: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:24:26,780] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:24:26,781] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step3000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt...
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6: [2022-11-28 15:24:26,805] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:24:26,806] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt
4: [2022-11-28 15:24:26,805] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt.
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1: [2022-11-28 15:24:26,805] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
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0: [2022-11-28 15:24:26,806] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
2: [2022-11-28 15:24:26,806] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:24:26,806] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
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2: [2022-11-28 15:24:26,806] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
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3: [2022-11-28 15:24:26,806] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt
3: [2022-11-28 15:24:26,806] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
5: [2022-11-28 15:24:26,806] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:24:26,806] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt.
5: [2022-11-28 15:24:26,806] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt
4: [2022-11-28 15:24:26,806] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
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7: [2022-11-28 15:24:26,806] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
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1: [2022-11-28 15:24:26,806] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt.
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3: [2022-11-28 15:24:26,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
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2: [2022-11-28 15:24:26,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:24:26,807] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
0: [2022-11-28 15:24:26,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:24:26,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt.
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6: [2022-11-28 15:24:26,807] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt
0: [2022-11-28 15:24:26,807] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
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5: [2022-11-28 15:24:26,808] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt
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5: [2022-11-28 15:24:26,808] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt
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7: [2022-11-28 15:24:26,808] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
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2: [2022-11-28 15:24:26,809] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:24:26,809] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
2: [2022-11-28 15:24:26,809] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
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4: [2022-11-28 15:24:26,809] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
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4: [2022-11-28 15:24:26,809] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
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6: [2022-11-28 15:24:26,809] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt
7: [2022-11-28 15:24:26,809] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:24:26,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
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7: [2022-11-28 15:24:26,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
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1: [2022-11-28 15:24:26,810] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt
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3: [2022-11-28 15:24:26,810] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
6: [2022-11-28 15:24:26,810] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt.
3: [2022-11-28 15:24:26,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
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6: [2022-11-28 15:24:26,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now!
0:   successfully saved checkpoint at iteration    3000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 242.73
7:  iteration     3010/   37905 | consumed samples:       770560 | consumed tokens:   1578106880 | elapsed time per iteration (s): 0.27 | learning rate: 1.978E-05 | global batch size:   256 | lm loss: 4.742520E+00 | grad norm: 1.108 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.553 | TFLOPs: 24.55 |
7:  iteration     3020/   37905 | consumed samples:       773120 | consumed tokens:   1583349760 | elapsed time per iteration (s): 0.27 | learning rate: 1.978E-05 | global batch size:   256 | lm loss: 4.747331E+00 | grad norm: 1.091 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.002 | TFLOPs: 24.10 |
7:  iteration     3030/   37905 | consumed samples:       775680 | consumed tokens:   1588592640 | elapsed time per iteration (s): 0.25 | learning rate: 1.978E-05 | global batch size:   256 | lm loss: 4.671790E+00 | grad norm: 1.225 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.546 | TFLOPs: 25.72 |
7:  iteration     3040/   37905 | consumed samples:       778240 | consumed tokens:   1593835520 | elapsed time per iteration (s): 0.25 | learning rate: 1.978E-05 | global batch size:   256 | lm loss: 4.731773E+00 | grad norm: 1.112 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.864 | TFLOPs: 25.65 |
7:  iteration     3050/   37905 | consumed samples:       780800 | consumed tokens:   1599078400 | elapsed time per iteration (s): 0.26 | learning rate: 1.978E-05 | global batch size:   256 | lm loss: 4.754335E+00 | grad norm: 1.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.682 | TFLOPs: 24.86 |
7:  iteration     3060/   37905 | consumed samples:       783360 | consumed tokens:   1604321280 | elapsed time per iteration (s): 0.24 | learning rate: 1.977E-05 | global batch size:   256 | lm loss: 4.759977E+00 | grad norm: 1.189 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.599 | TFLOPs: 27.66 |
7:  iteration     3070/   37905 | consumed samples:       785920 | consumed tokens:   1609564160 | elapsed time per iteration (s): 0.27 | learning rate: 1.977E-05 | global batch size:   256 | lm loss: 4.758619E+00 | grad norm: 1.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.217 | TFLOPs: 23.72 |
7:  iteration     3080/   37905 | consumed samples:       788480 | consumed tokens:   1614807040 | elapsed time per iteration (s): 0.25 | learning rate: 1.977E-05 | global batch size:   256 | lm loss: 4.727422E+00 | grad norm: 1.201 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.798 | TFLOPs: 26.29 |
7:  iteration     3090/   37905 | consumed samples:       791040 | consumed tokens:   1620049920 | elapsed time per iteration (s): 0.28 | learning rate: 1.977E-05 | global batch size:   256 | lm loss: 4.715479E+00 | grad norm: 1.282 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.351 | TFLOPs: 23.32 |
7:  iteration     3100/   37905 | consumed samples:       793600 | consumed tokens:   1625292800 | elapsed time per iteration (s): 0.25 | learning rate: 1.977E-05 | global batch size:   256 | lm loss: 4.743145E+00 | grad norm: 1.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.492 | TFLOPs: 25.92 |
7:  iteration     3110/   37905 | consumed samples:       796160 | consumed tokens:   1630535680 | elapsed time per iteration (s): 0.26 | learning rate: 1.977E-05 | global batch size:   256 | lm loss: 4.678887E+00 | grad norm: 1.100 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.847 | TFLOPs: 25.11 |
7:  iteration     3120/   37905 | consumed samples:       798720 | consumed tokens:   1635778560 | elapsed time per iteration (s): 0.27 | learning rate: 1.976E-05 | global batch size:   256 | lm loss: 4.725513E+00 | grad norm: 1.277 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.970 | TFLOPs: 24.10 |
7:  iteration     3130/   37905 | consumed samples:       801280 | consumed tokens:   1641021440 | elapsed time per iteration (s): 0.26 | learning rate: 1.976E-05 | global batch size:   256 | lm loss: 4.721866E+00 | grad norm: 1.346 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.742 | TFLOPs: 25.37 |
7:  iteration     3140/   37905 | consumed samples:       803840 | consumed tokens:   1646264320 | elapsed time per iteration (s): 0.25 | learning rate: 1.976E-05 | global batch size:   256 | lm loss: 4.677642E+00 | grad norm: 1.350 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.077 | TFLOPs: 26.55 |
7:  iteration     3150/   37905 | consumed samples:       806400 | consumed tokens:   1651507200 | elapsed time per iteration (s): 0.29 | learning rate: 1.976E-05 | global batch size:   256 | lm loss: 4.732067E+00 | grad norm: 1.261 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.024 | TFLOPs: 22.42 |
7:  iteration     3160/   37905 | consumed samples:       808960 | consumed tokens:   1656750080 | elapsed time per iteration (s): 0.24 | learning rate: 1.976E-05 | global batch size:   256 | lm loss: 4.682451E+00 | grad norm: 1.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.563 | TFLOPs: 27.60 |
7:  iteration     3170/   37905 | consumed samples:       811520 | consumed tokens:   1661992960 | elapsed time per iteration (s): 0.24 | learning rate: 1.976E-05 | global batch size:   256 | lm loss: 4.662336E+00 | grad norm: 1.157 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.309 | TFLOPs: 26.78 |
7:  iteration     3180/   37905 | consumed samples:       814080 | consumed tokens:   1667235840 | elapsed time per iteration (s): 0.27 | learning rate: 1.975E-05 | global batch size:   256 | lm loss: 4.692131E+00 | grad norm: 1.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.446 | TFLOPs: 23.96 |
7:  iteration     3190/   37905 | consumed samples:       816640 | consumed tokens:   1672478720 | elapsed time per iteration (s): 0.23 | learning rate: 1.975E-05 | global batch size:   256 | lm loss: 4.671642E+00 | grad norm: 1.268 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.152 | TFLOPs: 27.85 |
7:  iteration     3200/   37905 | consumed samples:       819200 | consumed tokens:   1677721600 | elapsed time per iteration (s): 0.26 | learning rate: 1.975E-05 | global batch size:   256 | lm loss: 4.673110E+00 | grad norm: 1.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.139 | TFLOPs: 24.89 |
7:  iteration     3210/   37905 | consumed samples:       821760 | consumed tokens:   1682964480 | elapsed time per iteration (s): 0.26 | learning rate: 1.975E-05 | global batch size:   256 | lm loss: 4.716660E+00 | grad norm: 1.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.615 | TFLOPs: 25.44 |
7:  iteration     3220/   37905 | consumed samples:       824320 | consumed tokens:   1688207360 | elapsed time per iteration (s): 0.29 | learning rate: 1.975E-05 | global batch size:   256 | lm loss: 4.683043E+00 | grad norm: 1.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.830 | TFLOPs: 22.85 |
7:  iteration     3230/   37905 | consumed samples:       826880 | consumed tokens:   1693450240 | elapsed time per iteration (s): 0.24 | learning rate: 1.974E-05 | global batch size:   256 | lm loss: 4.717648E+00 | grad norm: 1.398 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.771 | TFLOPs: 27.28 |
7:  iteration     3240/   37905 | consumed samples:       829440 | consumed tokens:   1698693120 | elapsed time per iteration (s): 0.29 | learning rate: 1.974E-05 | global batch size:   256 | lm loss: 4.664450E+00 | grad norm: 1.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.154 | TFLOPs: 22.83 |
7:  iteration     3250/   37905 | consumed samples:       832000 | consumed tokens:   1703936000 | elapsed time per iteration (s): 0.23 | learning rate: 1.974E-05 | global batch size:   256 | lm loss: 4.634808E+00 | grad norm: 1.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.006 | TFLOPs: 27.92 |
7:  iteration     3260/   37905 | consumed samples:       834560 | consumed tokens:   1709178880 | elapsed time per iteration (s): 0.28 | learning rate: 1.974E-05 | global batch size:   256 | lm loss: 4.675188E+00 | grad norm: 1.124 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.369 | TFLOPs: 23.70 |
7:  iteration     3270/   37905 | consumed samples:       837120 | consumed tokens:   1714421760 | elapsed time per iteration (s): 0.26 | learning rate: 1.974E-05 | global batch size:   256 | lm loss: 4.699834E+00 | grad norm: 1.108 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.709 | TFLOPs: 25.29 |
7:  iteration     3280/   37905 | consumed samples:       839680 | consumed tokens:   1719664640 | elapsed time per iteration (s): 0.26 | learning rate: 1.974E-05 | global batch size:   256 | lm loss: 4.652473E+00 | grad norm: 1.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.911 | TFLOPs: 25.09 |
7:  iteration     3290/   37905 | consumed samples:       842240 | consumed tokens:   1724907520 | elapsed time per iteration (s): 0.26 | learning rate: 1.973E-05 | global batch size:   256 | lm loss: 4.638107E+00 | grad norm: 1.344 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.310 | TFLOPs: 25.08 |
7:  iteration     3300/   37905 | consumed samples:       844800 | consumed tokens:   1730150400 | elapsed time per iteration (s): 0.25 | learning rate: 1.973E-05 | global batch size:   256 | lm loss: 4.698603E+00 | grad norm: 1.337 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.824 | TFLOPs: 26.62 |
7:  iteration     3310/   37905 | consumed samples:       847360 | consumed tokens:   1735393280 | elapsed time per iteration (s): 0.28 | learning rate: 1.973E-05 | global batch size:   256 | lm loss: 4.654106E+00 | grad norm: 1.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 904.573 | TFLOPs: 23.04 |
7:  iteration     3320/   37905 | consumed samples:       849920 | consumed tokens:   1740636160 | elapsed time per iteration (s): 0.24 | learning rate: 1.973E-05 | global batch size:   256 | lm loss: 4.659434E+00 | grad norm: 1.296 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.544 | TFLOPs: 26.84 |
7:  iteration     3330/   37905 | consumed samples:       852480 | consumed tokens:   1745879040 | elapsed time per iteration (s): 0.24 | learning rate: 1.973E-05 | global batch size:   256 | lm loss: 4.685964E+00 | grad norm: 1.244 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.643 | TFLOPs: 27.30 |
7:  iteration     3340/   37905 | consumed samples:       855040 | consumed tokens:   1751121920 | elapsed time per iteration (s): 0.28 | learning rate: 1.972E-05 | global batch size:   256 | lm loss: 4.702385E+00 | grad norm: 1.181 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.964 | TFLOPs: 23.16 |
7:  iteration     3350/   37905 | consumed samples:       857600 | consumed tokens:   1756364800 | elapsed time per iteration (s): 0.24 | learning rate: 1.972E-05 | global batch size:   256 | lm loss: 4.663400E+00 | grad norm: 1.172 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.302 | TFLOPs: 26.88 |
7:  iteration     3360/   37905 | consumed samples:       860160 | consumed tokens:   1761607680 | elapsed time per iteration (s): 0.24 | learning rate: 1.972E-05 | global batch size:   256 | lm loss: 4.658099E+00 | grad norm: 1.578 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.921 | TFLOPs: 26.67 |
7:  iteration     3370/   37905 | consumed samples:       862720 | consumed tokens:   1766850560 | elapsed time per iteration (s): 0.26 | learning rate: 1.972E-05 | global batch size:   256 | lm loss: 4.684742E+00 | grad norm: 1.787 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.530 | TFLOPs: 24.83 |
7:  iteration     3380/   37905 | consumed samples:       865280 | consumed tokens:   1772093440 | elapsed time per iteration (s): 0.26 | learning rate: 1.972E-05 | global batch size:   256 | lm loss: 4.653202E+00 | grad norm: 1.169 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.226 | TFLOPs: 24.79 |
7:  iteration     3390/   37905 | consumed samples:       867840 | consumed tokens:   1777336320 | elapsed time per iteration (s): 0.31 | learning rate: 1.972E-05 | global batch size:   256 | lm loss: 4.660656E+00 | grad norm: 1.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 815.881 | TFLOPs: 20.78 |
7:  iteration     3400/   37905 | consumed samples:       870400 | consumed tokens:   1782579200 | elapsed time per iteration (s): 0.25 | learning rate: 1.971E-05 | global batch size:   256 | lm loss: 4.625726E+00 | grad norm: 1.365 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.348 | TFLOPs: 26.35 |
7:  iteration     3410/   37905 | consumed samples:       872960 | consumed tokens:   1787822080 | elapsed time per iteration (s): 0.27 | learning rate: 1.971E-05 | global batch size:   256 | lm loss: 4.684108E+00 | grad norm: 1.071 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.705 | TFLOPs: 23.79 |
7:  iteration     3420/   37905 | consumed samples:       875520 | consumed tokens:   1793064960 | elapsed time per iteration (s): 0.24 | learning rate: 1.971E-05 | global batch size:   256 | lm loss: 4.649785E+00 | grad norm: 1.115 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.487 | TFLOPs: 26.97 |
7:  iteration     3430/   37905 | consumed samples:       878080 | consumed tokens:   1798307840 | elapsed time per iteration (s): 0.28 | learning rate: 1.971E-05 | global batch size:   256 | lm loss: 4.616970E+00 | grad norm: 1.176 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.679 | TFLOPs: 23.30 |
7:  iteration     3440/   37905 | consumed samples:       880640 | consumed tokens:   1803550720 | elapsed time per iteration (s): 0.25 | learning rate: 1.971E-05 | global batch size:   256 | lm loss: 4.573522E+00 | grad norm: 1.206 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.900 | TFLOPs: 25.85 |
7:  iteration     3450/   37905 | consumed samples:       883200 | consumed tokens:   1808793600 | elapsed time per iteration (s): 0.27 | learning rate: 1.970E-05 | global batch size:   256 | lm loss: 4.652917E+00 | grad norm: 1.212 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.731 | TFLOPs: 24.47 |
7:  iteration     3460/   37905 | consumed samples:       885760 | consumed tokens:   1814036480 | elapsed time per iteration (s): 0.25 | learning rate: 1.970E-05 | global batch size:   256 | lm loss: 4.601988E+00 | grad norm: 1.384 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.471 | TFLOPs: 25.79 |
7:  iteration     3470/   37905 | consumed samples:       888320 | consumed tokens:   1819279360 | elapsed time per iteration (s): 0.25 | learning rate: 1.970E-05 | global batch size:   256 | lm loss: 4.632426E+00 | grad norm: 1.238 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.687 | TFLOPs: 26.05 |
7:  iteration     3480/   37905 | consumed samples:       890880 | consumed tokens:   1824522240 | elapsed time per iteration (s): 0.24 | learning rate: 1.970E-05 | global batch size:   256 | lm loss: 4.632840E+00 | grad norm: 1.223 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.770 | TFLOPs: 27.00 |
7:  iteration     3490/   37905 | consumed samples:       893440 | consumed tokens:   1829765120 | elapsed time per iteration (s): 0.26 | learning rate: 1.970E-05 | global batch size:   256 | lm loss: 4.602994E+00 | grad norm: 1.220 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.976 | TFLOPs: 24.63 |
7:  iteration     3500/   37905 | consumed samples:       896000 | consumed tokens:   1835008000 | elapsed time per iteration (s): 0.27 | learning rate: 1.969E-05 | global batch size:   256 | lm loss: 4.606623E+00 | grad norm: 1.114 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.404 | TFLOPs: 24.54 |
7:  iteration     3510/   37905 | consumed samples:       898560 | consumed tokens:   1840250880 | elapsed time per iteration (s): 0.26 | learning rate: 1.969E-05 | global batch size:   256 | lm loss: 4.621595E+00 | grad norm: 1.298 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.370 | TFLOPs: 25.41 |
7:  iteration     3520/   37905 | consumed samples:       901120 | consumed tokens:   1845493760 | elapsed time per iteration (s): 0.26 | learning rate: 1.969E-05 | global batch size:   256 | lm loss: 4.578164E+00 | grad norm: 1.664 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.090 | TFLOPs: 24.92 |
7:  iteration     3530/   37905 | consumed samples:       903680 | consumed tokens:   1850736640 | elapsed time per iteration (s): 0.25 | learning rate: 1.969E-05 | global batch size:   256 | lm loss: 4.611177E+00 | grad norm: 1.202 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.486 | TFLOPs: 25.64 |
7:  iteration     3540/   37905 | consumed samples:       906240 | consumed tokens:   1855979520 | elapsed time per iteration (s): 0.28 | learning rate: 1.969E-05 | global batch size:   256 | lm loss: 4.627255E+00 | grad norm: 1.362 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.332 | TFLOPs: 23.29 |
7:  iteration     3550/   37905 | consumed samples:       908800 | consumed tokens:   1861222400 | elapsed time per iteration (s): 0.27 | learning rate: 1.968E-05 | global batch size:   256 | lm loss: 4.574696E+00 | grad norm: 1.235 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.321 | TFLOPs: 24.21 |
7:  iteration     3560/   37905 | consumed samples:       911360 | consumed tokens:   1866465280 | elapsed time per iteration (s): 0.26 | learning rate: 1.968E-05 | global batch size:   256 | lm loss: 4.611529E+00 | grad norm: 1.143 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.379 | TFLOPs: 25.33 |
7:  iteration     3570/   37905 | consumed samples:       913920 | consumed tokens:   1871708160 | elapsed time per iteration (s): 0.27 | learning rate: 1.968E-05 | global batch size:   256 | lm loss: 4.592541E+00 | grad norm: 1.124 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.468 | TFLOPs: 24.21 |
7:  iteration     3580/   37905 | consumed samples:       916480 | consumed tokens:   1876951040 | elapsed time per iteration (s): 0.27 | learning rate: 1.968E-05 | global batch size:   256 | lm loss: 4.612191E+00 | grad norm: 1.137 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.731 | TFLOPs: 23.81 |
7:  iteration     3590/   37905 | consumed samples:       919040 | consumed tokens:   1882193920 | elapsed time per iteration (s): 0.25 | learning rate: 1.968E-05 | global batch size:   256 | lm loss: 4.562186E+00 | grad norm: 1.156 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.899 | TFLOPs: 26.26 |
7:  iteration     3600/   37905 | consumed samples:       921600 | consumed tokens:   1887436800 | elapsed time per iteration (s): 0.27 | learning rate: 1.967E-05 | global batch size:   256 | lm loss: 4.574213E+00 | grad norm: 1.760 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.488 | TFLOPs: 24.21 |
7:  iteration     3610/   37905 | consumed samples:       924160 | consumed tokens:   1892679680 | elapsed time per iteration (s): 0.26 | learning rate: 1.967E-05 | global batch size:   256 | lm loss: 4.600196E+00 | grad norm: 1.456 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.512 | TFLOPs: 24.83 |
7:  iteration     3620/   37905 | consumed samples:       926720 | consumed tokens:   1897922560 | elapsed time per iteration (s): 0.28 | learning rate: 1.967E-05 | global batch size:   256 | lm loss: 4.586784E+00 | grad norm: 1.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.448 | TFLOPs: 23.65 |
7:  iteration     3630/   37905 | consumed samples:       929280 | consumed tokens:   1903165440 | elapsed time per iteration (s): 0.24 | learning rate: 1.967E-05 | global batch size:   256 | lm loss: 4.596011E+00 | grad norm: 1.297 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1079.167 | TFLOPs: 27.49 |
7:  iteration     3640/   37905 | consumed samples:       931840 | consumed tokens:   1908408320 | elapsed time per iteration (s): 0.25 | learning rate: 1.967E-05 | global batch size:   256 | lm loss: 4.607183E+00 | grad norm: 1.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.141 | TFLOPs: 26.22 |
7:  iteration     3650/   37905 | consumed samples:       934400 | consumed tokens:   1913651200 | elapsed time per iteration (s): 0.28 | learning rate: 1.966E-05 | global batch size:   256 | lm loss: 4.553637E+00 | grad norm: 1.155 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.208 | TFLOPs: 23.06 |
7:  iteration     3660/   37905 | consumed samples:       936960 | consumed tokens:   1918894080 | elapsed time per iteration (s): 0.25 | learning rate: 1.966E-05 | global batch size:   256 | lm loss: 4.548499E+00 | grad norm: 1.272 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.435 | TFLOPs: 25.94 |
7:  iteration     3670/   37905 | consumed samples:       939520 | consumed tokens:   1924136960 | elapsed time per iteration (s): 0.28 | learning rate: 1.966E-05 | global batch size:   256 | lm loss: 4.568553E+00 | grad norm: 1.348 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 901.079 | TFLOPs: 22.96 |
7:  iteration     3680/   37905 | consumed samples:       942080 | consumed tokens:   1929379840 | elapsed time per iteration (s): 0.23 | learning rate: 1.966E-05 | global batch size:   256 | lm loss: 4.591396E+00 | grad norm: 1.335 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.916 | TFLOPs: 28.05 |
7:  iteration     3690/   37905 | consumed samples:       944640 | consumed tokens:   1934622720 | elapsed time per iteration (s): 0.29 | learning rate: 1.966E-05 | global batch size:   256 | lm loss: 4.577140E+00 | grad norm: 1.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 869.586 | TFLOPs: 22.15 |
7:  iteration     3700/   37905 | consumed samples:       947200 | consumed tokens:   1939865600 | elapsed time per iteration (s): 0.24 | learning rate: 1.965E-05 | global batch size:   256 | lm loss: 4.544584E+00 | grad norm: 1.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.448 | TFLOPs: 27.07 |
7:  iteration     3710/   37905 | consumed samples:       949760 | consumed tokens:   1945108480 | elapsed time per iteration (s): 0.26 | learning rate: 1.965E-05 | global batch size:   256 | lm loss: 4.569357E+00 | grad norm: 1.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.257 | TFLOPs: 25.38 |
7:  iteration     3720/   37905 | consumed samples:       952320 | consumed tokens:   1950351360 | elapsed time per iteration (s): 0.24 | learning rate: 1.965E-05 | global batch size:   256 | lm loss: 4.562628E+00 | grad norm: 1.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1050.243 | TFLOPs: 26.76 |
7:  iteration     3730/   37905 | consumed samples:       954880 | consumed tokens:   1955594240 | elapsed time per iteration (s): 0.29 | learning rate: 1.965E-05 | global batch size:   256 | lm loss: 4.549694E+00 | grad norm: 1.285 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.340 | TFLOPs: 22.22 |
7:  iteration     3740/   37905 | consumed samples:       957440 | consumed tokens:   1960837120 | elapsed time per iteration (s): 0.23 | learning rate: 1.965E-05 | global batch size:   256 | lm loss: 4.540091E+00 | grad norm: 1.213 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.915 | TFLOPs: 28.02 |
7:  iteration     3750/   37905 | consumed samples:       960000 | consumed tokens:   1966080000 | elapsed time per iteration (s): 0.27 | learning rate: 1.964E-05 | global batch size:   256 | lm loss: 4.581950E+00 | grad norm: 1.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.355 | TFLOPs: 24.13 |
7:  iteration     3760/   37905 | consumed samples:       962560 | consumed tokens:   1971322880 | elapsed time per iteration (s): 0.24 | learning rate: 1.964E-05 | global batch size:   256 | lm loss: 4.508828E+00 | grad norm: 1.314 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.999 | TFLOPs: 27.72 |
7:  iteration     3770/   37905 | consumed samples:       965120 | consumed tokens:   1976565760 | elapsed time per iteration (s): 0.26 | learning rate: 1.964E-05 | global batch size:   256 | lm loss: 4.541893E+00 | grad norm: 1.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.086 | TFLOPs: 25.32 |
7:  iteration     3780/   37905 | consumed samples:       967680 | consumed tokens:   1981808640 | elapsed time per iteration (s): 0.27 | learning rate: 1.964E-05 | global batch size:   256 | lm loss: 4.540677E+00 | grad norm: 1.295 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.011 | TFLOPs: 24.53 |
7:  iteration     3790/   37905 | consumed samples:       970240 | consumed tokens:   1987051520 | elapsed time per iteration (s): 0.28 | learning rate: 1.964E-05 | global batch size:   256 | lm loss: 4.550227E+00 | grad norm: 1.050 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 922.743 | TFLOPs: 23.51 |
7:  iteration     3800/   37905 | consumed samples:       972800 | consumed tokens:   1992294400 | elapsed time per iteration (s): 0.28 | learning rate: 1.963E-05 | global batch size:   256 | lm loss: 4.555389E+00 | grad norm: 1.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.350 | TFLOPs: 23.47 |
7:  iteration     3810/   37905 | consumed samples:       975360 | consumed tokens:   1997537280 | elapsed time per iteration (s): 0.25 | learning rate: 1.963E-05 | global batch size:   256 | lm loss: 4.527544E+00 | grad norm: 1.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.264 | TFLOPs: 26.17 |
7:  iteration     3820/   37905 | consumed samples:       977920 | consumed tokens:   2002780160 | elapsed time per iteration (s): 0.25 | learning rate: 1.963E-05 | global batch size:   256 | lm loss: 4.535217E+00 | grad norm: 1.175 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.652 | TFLOPs: 25.59 |
7:  iteration     3830/   37905 | consumed samples:       980480 | consumed tokens:   2008023040 | elapsed time per iteration (s): 0.24 | learning rate: 1.963E-05 | global batch size:   256 | lm loss: 4.547681E+00 | grad norm: 1.178 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.079 | TFLOPs: 26.90 |
7:  iteration     3840/   37905 | consumed samples:       983040 | consumed tokens:   2013265920 | elapsed time per iteration (s): 0.26 | learning rate: 1.962E-05 | global batch size:   256 | lm loss: 4.529174E+00 | grad norm: 1.211 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.163 | TFLOPs: 25.17 |
7:  iteration     3850/   37905 | consumed samples:       985600 | consumed tokens:   2018508800 | elapsed time per iteration (s): 0.24 | learning rate: 1.962E-05 | global batch size:   256 | lm loss: 4.503113E+00 | grad norm: 1.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.726 | TFLOPs: 27.15 |
7:  iteration     3860/   37905 | consumed samples:       988160 | consumed tokens:   2023751680 | elapsed time per iteration (s): 0.28 | learning rate: 1.962E-05 | global batch size:   256 | lm loss: 4.503368E+00 | grad norm: 1.116 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 901.648 | TFLOPs: 22.97 |
7:  iteration     3870/   37905 | consumed samples:       990720 | consumed tokens:   2028994560 | elapsed time per iteration (s): 0.25 | learning rate: 1.962E-05 | global batch size:   256 | lm loss: 4.480431E+00 | grad norm: 1.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.088 | TFLOPs: 25.96 |
7:  iteration     3880/   37905 | consumed samples:       993280 | consumed tokens:   2034237440 | elapsed time per iteration (s): 0.27 | learning rate: 1.962E-05 | global batch size:   256 | lm loss: 4.542676E+00 | grad norm: 1.283 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.938 | TFLOPs: 24.58 |
7:  iteration     3890/   37905 | consumed samples:       995840 | consumed tokens:   2039480320 | elapsed time per iteration (s): 0.23 | learning rate: 1.961E-05 | global batch size:   256 | lm loss: 4.523669E+00 | grad norm: 1.296 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.279 | TFLOPs: 28.16 |
7:  iteration     3900/   37905 | consumed samples:       998400 | consumed tokens:   2044723200 | elapsed time per iteration (s): 0.27 | learning rate: 1.961E-05 | global batch size:   256 | lm loss: 4.494041E+00 | grad norm: 1.393 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.706 | TFLOPs: 23.91 |
7:  iteration     3910/   37905 | consumed samples:      1000960 | consumed tokens:   2049966080 | elapsed time per iteration (s): 0.29 | learning rate: 1.961E-05 | global batch size:   256 | lm loss: 4.505903E+00 | grad norm: 1.388 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 886.913 | TFLOPs: 22.59 |
7:  iteration     3920/   37905 | consumed samples:      1003520 | consumed tokens:   2055208960 | elapsed time per iteration (s): 0.23 | learning rate: 1.961E-05 | global batch size:   256 | lm loss: 4.483572E+00 | grad norm: 1.357 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.190 | TFLOPs: 27.93 |
7:  iteration     3930/   37905 | consumed samples:      1006080 | consumed tokens:   2060451840 | elapsed time per iteration (s): 0.25 | learning rate: 1.961E-05 | global batch size:   256 | lm loss: 4.537117E+00 | grad norm: 1.358 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.408 | TFLOPs: 26.20 |
7:  iteration     3940/   37905 | consumed samples:      1008640 | consumed tokens:   2065694720 | elapsed time per iteration (s): 0.25 | learning rate: 1.960E-05 | global batch size:   256 | lm loss: 4.471170E+00 | grad norm: 1.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.861 | TFLOPs: 26.01 |
7:  iteration     3950/   37905 | consumed samples:      1011200 | consumed tokens:   2070937600 | elapsed time per iteration (s): 0.29 | learning rate: 1.960E-05 | global batch size:   256 | lm loss: 4.487956E+00 | grad norm: 1.206 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.306 | TFLOPs: 22.55 |
7:  iteration     3960/   37905 | consumed samples:      1013760 | consumed tokens:   2076180480 | elapsed time per iteration (s): 0.23 | learning rate: 1.960E-05 | global batch size:   256 | lm loss: 4.434602E+00 | grad norm: 1.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.023 | TFLOPs: 28.28 |
7:  iteration     3970/   37905 | consumed samples:      1016320 | consumed tokens:   2081423360 | elapsed time per iteration (s): 0.28 | learning rate: 1.960E-05 | global batch size:   256 | lm loss: 4.517515E+00 | grad norm: 1.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.027 | TFLOPs: 23.21 |
7:  iteration     3980/   37905 | consumed samples:      1018880 | consumed tokens:   2086666240 | elapsed time per iteration (s): 0.27 | learning rate: 1.959E-05 | global batch size:   256 | lm loss: 4.480986E+00 | grad norm: 1.244 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.807 | TFLOPs: 24.58 |
7:  iteration     3990/   37905 | consumed samples:      1021440 | consumed tokens:   2091909120 | elapsed time per iteration (s): 0.26 | learning rate: 1.959E-05 | global batch size:   256 | lm loss: 4.503423E+00 | grad norm: 1.130 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.574 | TFLOPs: 25.39 |
0: [2022-11-28 15:28:46,237] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[1.958964133300005e-05, 1.958964133300005e-05, 1.958964133300005e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration     4000/   37905 | consumed samples:      1024000 | consumed tokens:   2097152000 | elapsed time per iteration (s): 0.24 | learning rate: 1.959E-05 | global batch size:   256 | lm loss: 4.451068E+00 | grad norm: 1.210 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.800 | TFLOPs: 27.05 |
0: steps: 4000 loss: 4.3239 iter time (s): 0.246 samples/sec: 1040.304
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 4000 | lm loss value: 4.438734E+00 | lm loss PPL: 8.466769E+01 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    4000 to checkpoints_83slr
0: [2022-11-28 15:28:46,338] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save!
0: [2022-11-28 15:28:46,341] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:28:46,411] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:28:46,412] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_03-model_00-model_states.pt...
0: [2022-11-28 15:28:46,423] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_03-model_00-model_states.pt.
0: [2022-11-28 15:28:46,424] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_04-model_00-model_states.pt...
0: [2022-11-28 15:28:46,436] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 15:28:46,448] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_05-model_00-model_states.pt.
0: [2022-11-28 15:28:46,448] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_06-model_00-model_states.pt...
0: [2022-11-28 15:28:46,459] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_06-model_00-model_states.pt.
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0: [2022-11-28 15:28:46,481] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_08-model_00-model_states.pt.
0: [2022-11-28 15:28:46,481] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_09-model_00-model_states.pt...
0: [2022-11-28 15:28:46,492] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_09-model_00-model_states.pt.
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0: [2022-11-28 15:28:46,504] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_11-model_00-model_states.pt...
0: [2022-11-28 15:28:46,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_11-model_00-model_states.pt.
0: [2022-11-28 15:28:46,515] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_12-model_00-model_states.pt...
0: [2022-11-28 15:28:46,526] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_12-model_00-model_states.pt.
0: [2022-11-28 15:28:46,526] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/layer_14-model_00-model_states.pt...
0: [2022-11-28 15:28:46,527] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/layer_14-model_00-model_states.pt.
0: [2022-11-28 15:28:46,528] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step4000/mp_rank_00_model_states.pt
0: [2022-11-28 15:28:46,528] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/mp_rank_00_model_states.pt...
0: [2022-11-28 15:28:46,529] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/mp_rank_00_model_states.pt.
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
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7: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
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7: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
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2: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt...
5: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt...
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5: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:28:46,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step4000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
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5: [2022-11-28 15:28:46,572] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt
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4: [2022-11-28 15:28:46,572] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
2: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:28:46,573] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
2: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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5: [2022-11-28 15:28:46,573] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt
7: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
5: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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6: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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6: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
1: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:28:46,573] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt
0: [2022-11-28 15:28:46,573] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt
1: [2022-11-28 15:28:46,573] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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6: [2022-11-28 15:28:46,573] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt
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4: [2022-11-28 15:28:46,574] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt.
5: [2022-11-28 15:28:46,574] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt
0: [2022-11-28 15:28:46,574] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt.
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7: [2022-11-28 15:28:46,574] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt
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2: [2022-11-28 15:28:46,575] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt
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4: [2022-11-28 15:28:46,575] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt
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5: [2022-11-28 15:28:46,575] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:28:46,575] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:28:46,575] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
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7: [2022-11-28 15:28:46,575] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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2: [2022-11-28 15:28:46,576] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
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7: [2022-11-28 15:28:46,576] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
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0: [2022-11-28 15:28:46,576] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
5: [2022-11-28 15:28:46,576] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:28:46,576] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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1: [2022-11-28 15:28:46,577] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
0: [2022-11-28 15:28:46,577] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:28:46,577] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:28:46,577] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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4: [2022-11-28 15:28:46,577] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
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1: [2022-11-28 15:28:46,577] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
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3: [2022-11-28 15:28:46,577] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
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1: [2022-11-28 15:28:46,578] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt
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3: [2022-11-28 15:28:46,578] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:28:46,578] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
3: [2022-11-28 15:28:46,578] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
6: [2022-11-28 15:28:46,578] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
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6: [2022-11-28 15:28:46,579] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step4000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt
6: [2022-11-28 15:28:46,579] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now!
0:   successfully saved checkpoint at iteration    4000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 244.11
7:  iteration     4010/   37905 | consumed samples:      1026560 | consumed tokens:   2102394880 | elapsed time per iteration (s): 0.28 | learning rate: 1.959E-05 | global batch size:   256 | lm loss: 4.467662E+00 | grad norm: 1.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 918.835 | TFLOPs: 23.41 |
7:  iteration     4020/   37905 | consumed samples:      1029120 | consumed tokens:   2107637760 | elapsed time per iteration (s): 0.25 | learning rate: 1.959E-05 | global batch size:   256 | lm loss: 4.504890E+00 | grad norm: 1.323 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.552 | TFLOPs: 25.97 |
7:  iteration     4030/   37905 | consumed samples:      1031680 | consumed tokens:   2112880640 | elapsed time per iteration (s): 0.27 | learning rate: 1.958E-05 | global batch size:   256 | lm loss: 4.453237E+00 | grad norm: 1.167 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.022 | TFLOPs: 24.23 |
7:  iteration     4040/   37905 | consumed samples:      1034240 | consumed tokens:   2118123520 | elapsed time per iteration (s): 0.25 | learning rate: 1.958E-05 | global batch size:   256 | lm loss: 4.422837E+00 | grad norm: 1.346 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.189 | TFLOPs: 26.24 |
7:  iteration     4050/   37905 | consumed samples:      1036800 | consumed tokens:   2123366400 | elapsed time per iteration (s): 0.26 | learning rate: 1.958E-05 | global batch size:   256 | lm loss: 4.443780E+00 | grad norm: 1.276 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.169 | TFLOPs: 25.45 |
7:  iteration     4060/   37905 | consumed samples:      1039360 | consumed tokens:   2128609280 | elapsed time per iteration (s): 0.26 | learning rate: 1.958E-05 | global batch size:   256 | lm loss: 4.485515E+00 | grad norm: 1.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.703 | TFLOPs: 24.81 |
7:  iteration     4070/   37905 | consumed samples:      1041920 | consumed tokens:   2133852160 | elapsed time per iteration (s): 0.27 | learning rate: 1.957E-05 | global batch size:   256 | lm loss: 4.471614E+00 | grad norm: 1.401 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 944.433 | TFLOPs: 24.06 |
7:  iteration     4080/   37905 | consumed samples:      1044480 | consumed tokens:   2139095040 | elapsed time per iteration (s): 0.32 | learning rate: 1.957E-05 | global batch size:   256 | lm loss: 4.452818E+00 | grad norm: 1.166 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 811.624 | TFLOPs: 20.68 |
7:  iteration     4090/   37905 | consumed samples:      1047040 | consumed tokens:   2144337920 | elapsed time per iteration (s): 0.25 | learning rate: 1.957E-05 | global batch size:   256 | lm loss: 4.448411E+00 | grad norm: 1.381 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.244 | TFLOPs: 25.79 |
7:  iteration     4100/   37905 | consumed samples:      1049600 | consumed tokens:   2149580800 | elapsed time per iteration (s): 0.28 | learning rate: 1.957E-05 | global batch size:   256 | lm loss: 4.439749E+00 | grad norm: 1.285 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.266 | TFLOPs: 23.24 |
7:  iteration     4110/   37905 | consumed samples:      1052160 | consumed tokens:   2154823680 | elapsed time per iteration (s): 0.26 | learning rate: 1.956E-05 | global batch size:   256 | lm loss: 4.406684E+00 | grad norm: 1.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.531 | TFLOPs: 25.21 |
7:  iteration     4120/   37905 | consumed samples:      1054720 | consumed tokens:   2160066560 | elapsed time per iteration (s): 0.26 | learning rate: 1.956E-05 | global batch size:   256 | lm loss: 4.402695E+00 | grad norm: 1.847 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.477 | TFLOPs: 25.44 |
7:  iteration     4130/   37905 | consumed samples:      1057280 | consumed tokens:   2165309440 | elapsed time per iteration (s): 0.26 | learning rate: 1.956E-05 | global batch size:   256 | lm loss: 4.369337E+00 | grad norm: 1.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.941 | TFLOPs: 25.47 |
7:  iteration     4140/   37905 | consumed samples:      1059840 | consumed tokens:   2170552320 | elapsed time per iteration (s): 0.26 | learning rate: 1.956E-05 | global batch size:   256 | lm loss: 4.422187E+00 | grad norm: 1.337 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.134 | TFLOPs: 24.99 |
7:  iteration     4150/   37905 | consumed samples:      1062400 | consumed tokens:   2175795200 | elapsed time per iteration (s): 0.29 | learning rate: 1.956E-05 | global batch size:   256 | lm loss: 4.450570E+00 | grad norm: 1.271 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.635 | TFLOPs: 22.21 |
7:  iteration     4160/   37905 | consumed samples:      1064960 | consumed tokens:   2181038080 | elapsed time per iteration (s): 0.32 | learning rate: 1.955E-05 | global batch size:   256 | lm loss: 4.423019E+00 | grad norm: 1.211 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 805.485 | TFLOPs: 20.52 |
7:  iteration     4170/   37905 | consumed samples:      1067520 | consumed tokens:   2186280960 | elapsed time per iteration (s): 0.28 | learning rate: 1.955E-05 | global batch size:   256 | lm loss: 4.399490E+00 | grad norm: 1.165 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.185 | TFLOPs: 23.24 |
7:  iteration     4180/   37905 | consumed samples:      1070080 | consumed tokens:   2191523840 | elapsed time per iteration (s): 0.26 | learning rate: 1.955E-05 | global batch size:   256 | lm loss: 4.418123E+00 | grad norm: 1.677 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.856 | TFLOPs: 24.78 |
7:  iteration     4190/   37905 | consumed samples:      1072640 | consumed tokens:   2196766720 | elapsed time per iteration (s): 0.27 | learning rate: 1.955E-05 | global batch size:   256 | lm loss: 4.368094E+00 | grad norm: 1.266 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.528 | TFLOPs: 23.76 |
7:  iteration     4200/   37905 | consumed samples:      1075200 | consumed tokens:   2202009600 | elapsed time per iteration (s): 0.30 | learning rate: 1.954E-05 | global batch size:   256 | lm loss: 4.418955E+00 | grad norm: 1.280 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 858.029 | TFLOPs: 21.86 |
7:  iteration     4210/   37905 | consumed samples:      1077760 | consumed tokens:   2207252480 | elapsed time per iteration (s): 0.24 | learning rate: 1.954E-05 | global batch size:   256 | lm loss: 4.404089E+00 | grad norm: 1.396 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.268 | TFLOPs: 26.99 |
7:  iteration     4220/   37905 | consumed samples:      1080320 | consumed tokens:   2212495360 | elapsed time per iteration (s): 0.26 | learning rate: 1.954E-05 | global batch size:   256 | lm loss: 4.422597E+00 | grad norm: 1.322 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.271 | TFLOPs: 25.51 |
7:  iteration     4230/   37905 | consumed samples:      1082880 | consumed tokens:   2217738240 | elapsed time per iteration (s): 0.27 | learning rate: 1.954E-05 | global batch size:   256 | lm loss: 4.405066E+00 | grad norm: 1.677 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.157 | TFLOPs: 24.31 |
7:  iteration     4240/   37905 | consumed samples:      1085440 | consumed tokens:   2222981120 | elapsed time per iteration (s): 0.26 | learning rate: 1.953E-05 | global batch size:   256 | lm loss: 4.413951E+00 | grad norm: 1.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.781 | TFLOPs: 25.50 |
7:  iteration     4250/   37905 | consumed samples:      1088000 | consumed tokens:   2228224000 | elapsed time per iteration (s): 0.27 | learning rate: 1.953E-05 | global batch size:   256 | lm loss: 4.389353E+00 | grad norm: 1.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 937.156 | TFLOPs: 23.87 |
7:  iteration     4260/   37905 | consumed samples:      1090560 | consumed tokens:   2233466880 | elapsed time per iteration (s): 0.26 | learning rate: 1.953E-05 | global batch size:   256 | lm loss: 4.414373E+00 | grad norm: 1.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.686 | TFLOPs: 25.03 |
7:  iteration     4270/   37905 | consumed samples:      1093120 | consumed tokens:   2238709760 | elapsed time per iteration (s): 0.28 | learning rate: 1.953E-05 | global batch size:   256 | lm loss: 4.357645E+00 | grad norm: 1.375 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.116 | TFLOPs: 23.62 |
7:  iteration     4280/   37905 | consumed samples:      1095680 | consumed tokens:   2243952640 | elapsed time per iteration (s): 0.25 | learning rate: 1.952E-05 | global batch size:   256 | lm loss: 4.398495E+00 | grad norm: 1.283 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.669 | TFLOPs: 25.72 |
7:  iteration     4290/   37905 | consumed samples:      1098240 | consumed tokens:   2249195520 | elapsed time per iteration (s): 0.30 | learning rate: 1.952E-05 | global batch size:   256 | lm loss: 4.377437E+00 | grad norm: 1.602 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 857.538 | TFLOPs: 21.85 |
7:  iteration     4300/   37905 | consumed samples:      1100800 | consumed tokens:   2254438400 | elapsed time per iteration (s): 0.24 | learning rate: 1.952E-05 | global batch size:   256 | lm loss: 4.395620E+00 | grad norm: 1.607 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.494 | TFLOPs: 27.63 |
7:  iteration     4310/   37905 | consumed samples:      1103360 | consumed tokens:   2259681280 | elapsed time per iteration (s): 0.29 | learning rate: 1.952E-05 | global batch size:   256 | lm loss: 4.385509E+00 | grad norm: 1.347 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 879.845 | TFLOPs: 22.41 |
7:  iteration     4320/   37905 | consumed samples:      1105920 | consumed tokens:   2264924160 | elapsed time per iteration (s): 0.24 | learning rate: 1.951E-05 | global batch size:   256 | lm loss: 4.375586E+00 | grad norm: 1.205 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.610 | TFLOPs: 26.94 |
7:  iteration     4330/   37905 | consumed samples:      1108480 | consumed tokens:   2270167040 | elapsed time per iteration (s): 0.26 | learning rate: 1.951E-05 | global batch size:   256 | lm loss: 4.329228E+00 | grad norm: 1.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.931 | TFLOPs: 24.79 |
7:  iteration     4340/   37905 | consumed samples:      1111040 | consumed tokens:   2275409920 | elapsed time per iteration (s): 0.28 | learning rate: 1.951E-05 | global batch size:   256 | lm loss: 4.389887E+00 | grad norm: 1.430 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.375 | TFLOPs: 23.14 |
7:  iteration     4350/   37905 | consumed samples:      1113600 | consumed tokens:   2280652800 | elapsed time per iteration (s): 0.29 | learning rate: 1.951E-05 | global batch size:   256 | lm loss: 4.387540E+00 | grad norm: 1.163 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 895.149 | TFLOPs: 22.80 |
7:  iteration     4360/   37905 | consumed samples:      1116160 | consumed tokens:   2285895680 | elapsed time per iteration (s): 0.25 | learning rate: 1.950E-05 | global batch size:   256 | lm loss: 4.372543E+00 | grad norm: 1.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.818 | TFLOPs: 26.03 |
7:  iteration     4370/   37905 | consumed samples:      1118720 | consumed tokens:   2291138560 | elapsed time per iteration (s): 0.32 | learning rate: 1.950E-05 | global batch size:   256 | lm loss: 4.387246E+00 | grad norm: 2.048 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 807.391 | TFLOPs: 20.57 |
7:  iteration     4380/   37905 | consumed samples:      1121280 | consumed tokens:   2296381440 | elapsed time per iteration (s): 0.23 | learning rate: 1.950E-05 | global batch size:   256 | lm loss: 4.357903E+00 | grad norm: 1.825 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.309 | TFLOPs: 28.11 |
7:  iteration     4390/   37905 | consumed samples:      1123840 | consumed tokens:   2301624320 | elapsed time per iteration (s): 0.27 | learning rate: 1.950E-05 | global batch size:   256 | lm loss: 4.396521E+00 | grad norm: 1.307 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.974 | TFLOPs: 23.82 |
7:  iteration     4400/   37905 | consumed samples:      1126400 | consumed tokens:   2306867200 | elapsed time per iteration (s): 0.27 | learning rate: 1.949E-05 | global batch size:   256 | lm loss: 4.375194E+00 | grad norm: 1.139 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.553 | TFLOPs: 24.24 |
7:  iteration     4410/   37905 | consumed samples:      1128960 | consumed tokens:   2312110080 | elapsed time per iteration (s): 0.26 | learning rate: 1.949E-05 | global batch size:   256 | lm loss: 4.335627E+00 | grad norm: 1.308 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.913 | TFLOPs: 24.73 |
7:  iteration     4420/   37905 | consumed samples:      1131520 | consumed tokens:   2317352960 | elapsed time per iteration (s): 0.25 | learning rate: 1.949E-05 | global batch size:   256 | lm loss: 4.349509E+00 | grad norm: 1.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.663 | TFLOPs: 25.72 |
7:  iteration     4430/   37905 | consumed samples:      1134080 | consumed tokens:   2322595840 | elapsed time per iteration (s): 0.26 | learning rate: 1.949E-05 | global batch size:   256 | lm loss: 4.315920E+00 | grad norm: 1.343 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.708 | TFLOPs: 25.14 |
7:  iteration     4440/   37905 | consumed samples:      1136640 | consumed tokens:   2327838720 | elapsed time per iteration (s): 0.26 | learning rate: 1.948E-05 | global batch size:   256 | lm loss: 4.357705E+00 | grad norm: 1.373 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.183 | TFLOPs: 25.56 |
7:  iteration     4450/   37905 | consumed samples:      1139200 | consumed tokens:   2333081600 | elapsed time per iteration (s): 0.25 | learning rate: 1.948E-05 | global batch size:   256 | lm loss: 4.364963E+00 | grad norm: 1.267 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.885 | TFLOPs: 25.73 |
7:  iteration     4460/   37905 | consumed samples:      1141760 | consumed tokens:   2338324480 | elapsed time per iteration (s): 0.26 | learning rate: 1.948E-05 | global batch size:   256 | lm loss: 4.268895E+00 | grad norm: 1.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.365 | TFLOPs: 24.62 |
7:  iteration     4470/   37905 | consumed samples:      1144320 | consumed tokens:   2343567360 | elapsed time per iteration (s): 0.23 | learning rate: 1.948E-05 | global batch size:   256 | lm loss: 4.316642E+00 | grad norm: 1.304 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.694 | TFLOPs: 27.76 |
7:  iteration     4480/   37905 | consumed samples:      1146880 | consumed tokens:   2348810240 | elapsed time per iteration (s): 0.27 | learning rate: 1.947E-05 | global batch size:   256 | lm loss: 4.340128E+00 | grad norm: 1.310 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.115 | TFLOPs: 24.48 |
7:  iteration     4490/   37905 | consumed samples:      1149440 | consumed tokens:   2354053120 | elapsed time per iteration (s): 0.24 | learning rate: 1.947E-05 | global batch size:   256 | lm loss: 4.285629E+00 | grad norm: 1.277 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.026 | TFLOPs: 26.93 |
7:  iteration     4500/   37905 | consumed samples:      1152000 | consumed tokens:   2359296000 | elapsed time per iteration (s): 0.31 | learning rate: 1.947E-05 | global batch size:   256 | lm loss: 4.327690E+00 | grad norm: 1.647 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 830.687 | TFLOPs: 21.16 |
7:  iteration     4510/   37905 | consumed samples:      1154560 | consumed tokens:   2364538880 | elapsed time per iteration (s): 0.24 | learning rate: 1.947E-05 | global batch size:   256 | lm loss: 4.295190E+00 | grad norm: 1.320 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.398 | TFLOPs: 26.81 |
7:  iteration     4520/   37905 | consumed samples:      1157120 | consumed tokens:   2369781760 | elapsed time per iteration (s): 0.30 | learning rate: 1.946E-05 | global batch size:   256 | lm loss: 4.321400E+00 | grad norm: 1.179 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.761 | TFLOPs: 21.52 |
7:  iteration     4530/   37905 | consumed samples:      1159680 | consumed tokens:   2375024640 | elapsed time per iteration (s): 0.25 | learning rate: 1.946E-05 | global batch size:   256 | lm loss: 4.341370E+00 | grad norm: 1.338 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.451 | TFLOPs: 25.64 |
7:  iteration     4540/   37905 | consumed samples:      1162240 | consumed tokens:   2380267520 | elapsed time per iteration (s): 0.27 | learning rate: 1.946E-05 | global batch size:   256 | lm loss: 4.328302E+00 | grad norm: 1.335 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.035 | TFLOPs: 24.18 |
7:  iteration     4550/   37905 | consumed samples:      1164800 | consumed tokens:   2385510400 | elapsed time per iteration (s): 0.25 | learning rate: 1.946E-05 | global batch size:   256 | lm loss: 4.293475E+00 | grad norm: 1.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.030 | TFLOPs: 25.73 |
7:  iteration     4560/   37905 | consumed samples:      1167360 | consumed tokens:   2390753280 | elapsed time per iteration (s): 0.27 | learning rate: 1.945E-05 | global batch size:   256 | lm loss: 4.314217E+00 | grad norm: 1.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.938 | TFLOPs: 23.84 |
7:  iteration     4570/   37905 | consumed samples:      1169920 | consumed tokens:   2395996160 | elapsed time per iteration (s): 0.27 | learning rate: 1.945E-05 | global batch size:   256 | lm loss: 4.286407E+00 | grad norm: 1.203 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.261 | TFLOPs: 24.21 |
7:  iteration     4580/   37905 | consumed samples:      1172480 | consumed tokens:   2401239040 | elapsed time per iteration (s): 0.27 | learning rate: 1.945E-05 | global batch size:   256 | lm loss: 4.313843E+00 | grad norm: 1.297 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.711 | TFLOPs: 24.22 |
7:  iteration     4590/   37905 | consumed samples:      1175040 | consumed tokens:   2406481920 | elapsed time per iteration (s): 0.26 | learning rate: 1.945E-05 | global batch size:   256 | lm loss: 4.241461E+00 | grad norm: 1.171 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.259 | TFLOPs: 25.25 |
7:  iteration     4600/   37905 | consumed samples:      1177600 | consumed tokens:   2411724800 | elapsed time per iteration (s): 0.27 | learning rate: 1.944E-05 | global batch size:   256 | lm loss: 4.324592E+00 | grad norm: 1.417 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.994 | TFLOPs: 24.56 |
7:  iteration     4610/   37905 | consumed samples:      1180160 | consumed tokens:   2416967680 | elapsed time per iteration (s): 0.25 | learning rate: 1.944E-05 | global batch size:   256 | lm loss: 4.288725E+00 | grad norm: 1.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.446 | TFLOPs: 26.53 |
7:  iteration     4620/   37905 | consumed samples:      1182720 | consumed tokens:   2422210560 | elapsed time per iteration (s): 0.27 | learning rate: 1.944E-05 | global batch size:   256 | lm loss: 4.311132E+00 | grad norm: 1.378 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.015 | TFLOPs: 24.30 |
7:  iteration     4630/   37905 | consumed samples:      1185280 | consumed tokens:   2427453440 | elapsed time per iteration (s): 0.25 | learning rate: 1.944E-05 | global batch size:   256 | lm loss: 4.306288E+00 | grad norm: 1.367 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.548 | TFLOPs: 25.77 |
7:  iteration     4640/   37905 | consumed samples:      1187840 | consumed tokens:   2432696320 | elapsed time per iteration (s): 0.28 | learning rate: 1.943E-05 | global batch size:   256 | lm loss: 4.313877E+00 | grad norm: 1.096 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.413 | TFLOPs: 23.17 |
7:  iteration     4650/   37905 | consumed samples:      1190400 | consumed tokens:   2437939200 | elapsed time per iteration (s): 0.25 | learning rate: 1.943E-05 | global batch size:   256 | lm loss: 4.264168E+00 | grad norm: 1.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.009 | TFLOPs: 25.63 |
7:  iteration     4660/   37905 | consumed samples:      1192960 | consumed tokens:   2443182080 | elapsed time per iteration (s): 0.27 | learning rate: 1.943E-05 | global batch size:   256 | lm loss: 4.272507E+00 | grad norm: 1.236 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.758 | TFLOPs: 23.91 |
7:  iteration     4670/   37905 | consumed samples:      1195520 | consumed tokens:   2448424960 | elapsed time per iteration (s): 0.26 | learning rate: 1.943E-05 | global batch size:   256 | lm loss: 4.235398E+00 | grad norm: 1.684 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.356 | TFLOPs: 25.56 |
7:  iteration     4680/   37905 | consumed samples:      1198080 | consumed tokens:   2453667840 | elapsed time per iteration (s): 0.28 | learning rate: 1.942E-05 | global batch size:   256 | lm loss: 4.250388E+00 | grad norm: 1.298 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.050 | TFLOPs: 23.08 |
7:  iteration     4690/   37905 | consumed samples:      1200640 | consumed tokens:   2458910720 | elapsed time per iteration (s): 0.26 | learning rate: 1.942E-05 | global batch size:   256 | lm loss: 4.278883E+00 | grad norm: 1.281 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.154 | TFLOPs: 25.56 |
7:  iteration     4700/   37905 | consumed samples:      1203200 | consumed tokens:   2464153600 | elapsed time per iteration (s): 0.24 | learning rate: 1.942E-05 | global batch size:   256 | lm loss: 4.256871E+00 | grad norm: 1.204 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.535 | TFLOPs: 27.07 |
7:  iteration     4710/   37905 | consumed samples:      1205760 | consumed tokens:   2469396480 | elapsed time per iteration (s): 0.26 | learning rate: 1.941E-05 | global batch size:   256 | lm loss: 4.237417E+00 | grad norm: 1.221 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.357 | TFLOPs: 25.51 |
7:  iteration     4720/   37905 | consumed samples:      1208320 | consumed tokens:   2474639360 | elapsed time per iteration (s): 0.25 | learning rate: 1.941E-05 | global batch size:   256 | lm loss: 4.250303E+00 | grad norm: 1.321 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.524 | TFLOPs: 25.82 |
7:  iteration     4730/   37905 | consumed samples:      1210880 | consumed tokens:   2479882240 | elapsed time per iteration (s): 0.27 | learning rate: 1.941E-05 | global batch size:   256 | lm loss: 4.220506E+00 | grad norm: 1.173 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.661 | TFLOPs: 24.52 |
7:  iteration     4740/   37905 | consumed samples:      1213440 | consumed tokens:   2485125120 | elapsed time per iteration (s): 0.26 | learning rate: 1.941E-05 | global batch size:   256 | lm loss: 4.243472E+00 | grad norm: 1.322 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.200 | TFLOPs: 25.40 |
7:  iteration     4750/   37905 | consumed samples:      1216000 | consumed tokens:   2490368000 | elapsed time per iteration (s): 0.25 | learning rate: 1.940E-05 | global batch size:   256 | lm loss: 4.234269E+00 | grad norm: 1.318 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.272 | TFLOPs: 26.50 |
7:  iteration     4760/   37905 | consumed samples:      1218560 | consumed tokens:   2495610880 | elapsed time per iteration (s): 0.29 | learning rate: 1.940E-05 | global batch size:   256 | lm loss: 4.257381E+00 | grad norm: 1.114 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.754 | TFLOPs: 22.67 |
7:  iteration     4770/   37905 | consumed samples:      1221120 | consumed tokens:   2500853760 | elapsed time per iteration (s): 0.29 | learning rate: 1.940E-05 | global batch size:   256 | lm loss: 4.261003E+00 | grad norm: 1.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.370 | TFLOPs: 22.43 |
7:  iteration     4780/   37905 | consumed samples:      1223680 | consumed tokens:   2506096640 | elapsed time per iteration (s): 0.24 | learning rate: 1.940E-05 | global batch size:   256 | lm loss: 4.218789E+00 | grad norm: 1.317 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.063 | TFLOPs: 26.67 |
7:  iteration     4790/   37905 | consumed samples:      1226240 | consumed tokens:   2511339520 | elapsed time per iteration (s): 0.26 | learning rate: 1.939E-05 | global batch size:   256 | lm loss: 4.246655E+00 | grad norm: 1.057 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.403 | TFLOPs: 25.23 |
7:  iteration     4800/   37905 | consumed samples:      1228800 | consumed tokens:   2516582400 | elapsed time per iteration (s): 0.26 | learning rate: 1.939E-05 | global batch size:   256 | lm loss: 4.255814E+00 | grad norm: 1.304 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.444 | TFLOPs: 25.08 |
7:  iteration     4810/   37905 | consumed samples:      1231360 | consumed tokens:   2521825280 | elapsed time per iteration (s): 0.28 | learning rate: 1.939E-05 | global batch size:   256 | lm loss: 4.242318E+00 | grad norm: 1.295 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.469 | TFLOPs: 23.30 |
7:  iteration     4820/   37905 | consumed samples:      1233920 | consumed tokens:   2527068160 | elapsed time per iteration (s): 0.23 | learning rate: 1.939E-05 | global batch size:   256 | lm loss: 4.229163E+00 | grad norm: 1.157 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.548 | TFLOPs: 28.27 |
7:  iteration     4830/   37905 | consumed samples:      1236480 | consumed tokens:   2532311040 | elapsed time per iteration (s): 0.24 | learning rate: 1.938E-05 | global batch size:   256 | lm loss: 4.196713E+00 | grad norm: 1.208 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.538 | TFLOPs: 26.71 |
7:  iteration     4840/   37905 | consumed samples:      1239040 | consumed tokens:   2537553920 | elapsed time per iteration (s): 0.27 | learning rate: 1.938E-05 | global batch size:   256 | lm loss: 4.179169E+00 | grad norm: 1.417 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.453 | TFLOPs: 24.21 |
7:  iteration     4850/   37905 | consumed samples:      1241600 | consumed tokens:   2542796800 | elapsed time per iteration (s): 0.25 | learning rate: 1.938E-05 | global batch size:   256 | lm loss: 4.202612E+00 | grad norm: 1.249 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.016 | TFLOPs: 25.76 |
7:  iteration     4860/   37905 | consumed samples:      1244160 | consumed tokens:   2548039680 | elapsed time per iteration (s): 0.29 | learning rate: 1.937E-05 | global batch size:   256 | lm loss: 4.257180E+00 | grad norm: 1.193 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.970 | TFLOPs: 22.85 |
7:  iteration     4870/   37905 | consumed samples:      1246720 | consumed tokens:   2553282560 | elapsed time per iteration (s): 0.25 | learning rate: 1.937E-05 | global batch size:   256 | lm loss: 4.189841E+00 | grad norm: 1.257 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.773 | TFLOPs: 25.95 |
7:  iteration     4880/   37905 | consumed samples:      1249280 | consumed tokens:   2558525440 | elapsed time per iteration (s): 0.28 | learning rate: 1.937E-05 | global batch size:   256 | lm loss: 4.251952E+00 | grad norm: 1.241 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.373 | TFLOPs: 23.06 |
7:  iteration     4890/   37905 | consumed samples:      1251840 | consumed tokens:   2563768320 | elapsed time per iteration (s): 0.23 | learning rate: 1.937E-05 | global batch size:   256 | lm loss: 4.227168E+00 | grad norm: 1.126 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.308 | TFLOPs: 27.85 |
7:  iteration     4900/   37905 | consumed samples:      1254400 | consumed tokens:   2569011200 | elapsed time per iteration (s): 0.26 | learning rate: 1.936E-05 | global batch size:   256 | lm loss: 4.175949E+00 | grad norm: 1.077 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.871 | TFLOPs: 24.86 |
7:  iteration     4910/   37905 | consumed samples:      1256960 | consumed tokens:   2574254080 | elapsed time per iteration (s): 0.26 | learning rate: 1.936E-05 | global batch size:   256 | lm loss: 4.156487E+00 | grad norm: 1.291 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.496 | TFLOPs: 24.93 |
7:  iteration     4920/   37905 | consumed samples:      1259520 | consumed tokens:   2579496960 | elapsed time per iteration (s): 0.26 | learning rate: 1.936E-05 | global batch size:   256 | lm loss: 4.217904E+00 | grad norm: 1.171 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.768 | TFLOPs: 25.37 |
7:  iteration     4930/   37905 | consumed samples:      1262080 | consumed tokens:   2584739840 | elapsed time per iteration (s): 0.27 | learning rate: 1.935E-05 | global batch size:   256 | lm loss: 4.186368E+00 | grad norm: 1.254 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 939.534 | TFLOPs: 23.93 |
7:  iteration     4940/   37905 | consumed samples:      1264640 | consumed tokens:   2589982720 | elapsed time per iteration (s): 0.24 | learning rate: 1.935E-05 | global batch size:   256 | lm loss: 4.185588E+00 | grad norm: 1.132 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.937 | TFLOPs: 26.75 |
7:  iteration     4950/   37905 | consumed samples:      1267200 | consumed tokens:   2595225600 | elapsed time per iteration (s): 0.26 | learning rate: 1.935E-05 | global batch size:   256 | lm loss: 4.239986E+00 | grad norm: 1.273 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.834 | TFLOPs: 24.78 |
7:  iteration     4960/   37905 | consumed samples:      1269760 | consumed tokens:   2600468480 | elapsed time per iteration (s): 0.24 | learning rate: 1.935E-05 | global batch size:   256 | lm loss: 4.199586E+00 | grad norm: 1.167 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.660 | TFLOPs: 27.33 |
7:  iteration     4970/   37905 | consumed samples:      1272320 | consumed tokens:   2605711360 | elapsed time per iteration (s): 0.25 | learning rate: 1.934E-05 | global batch size:   256 | lm loss: 4.179121E+00 | grad norm: 1.209 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.743 | TFLOPs: 25.72 |
7:  iteration     4980/   37905 | consumed samples:      1274880 | consumed tokens:   2610954240 | elapsed time per iteration (s): 0.26 | learning rate: 1.934E-05 | global batch size:   256 | lm loss: 4.191736E+00 | grad norm: 1.145 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.890 | TFLOPs: 24.73 |
7:  iteration     4990/   37905 | consumed samples:      1277440 | consumed tokens:   2616197120 | elapsed time per iteration (s): 0.25 | learning rate: 1.934E-05 | global batch size:   256 | lm loss: 4.160193E+00 | grad norm: 1.244 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.174 | TFLOPs: 25.91 |
7:  iteration     5000/   37905 | consumed samples:      1280000 | consumed tokens:   2621440000 | elapsed time per iteration (s): 0.27 | learning rate: 1.933E-05 | global batch size:   256 | lm loss: 4.165063E+00 | grad norm: 1.295 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.113 | TFLOPs: 23.80 |
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 5000 | lm loss value: 4.064971E+00 | lm loss PPL: 5.826324E+01 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    5000 to checkpoints_83slr
0: [2022-11-28 15:33:10,690] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save!
0: [2022-11-28 15:33:10,693] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:33:10,764] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:33:10,764] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_03-model_00-model_states.pt...
0: [2022-11-28 15:33:10,776] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_03-model_00-model_states.pt.
0: [2022-11-28 15:33:10,776] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_04-model_00-model_states.pt...
0: [2022-11-28 15:33:10,788] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_04-model_00-model_states.pt.
0: [2022-11-28 15:33:10,788] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_05-model_00-model_states.pt...
0: [2022-11-28 15:33:10,799] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_05-model_00-model_states.pt.
0: [2022-11-28 15:33:10,800] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_06-model_00-model_states.pt...
0: [2022-11-28 15:33:10,811] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_06-model_00-model_states.pt.
0: [2022-11-28 15:33:10,811] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_07-model_00-model_states.pt...
0: [2022-11-28 15:33:10,822] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_07-model_00-model_states.pt.
0: [2022-11-28 15:33:10,822] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_08-model_00-model_states.pt...
0: [2022-11-28 15:33:10,833] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_08-model_00-model_states.pt.
0: [2022-11-28 15:33:10,834] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_09-model_00-model_states.pt...
0: [2022-11-28 15:33:10,845] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_09-model_00-model_states.pt.
0: [2022-11-28 15:33:10,845] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_10-model_00-model_states.pt...
0: [2022-11-28 15:33:10,856] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_10-model_00-model_states.pt.
0: [2022-11-28 15:33:10,856] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_11-model_00-model_states.pt...
0: [2022-11-28 15:33:10,868] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_11-model_00-model_states.pt.
0: [2022-11-28 15:33:10,868] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_12-model_00-model_states.pt...
0: [2022-11-28 15:33:10,880] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_12-model_00-model_states.pt.
0: [2022-11-28 15:33:10,881] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/layer_14-model_00-model_states.pt...
0: [2022-11-28 15:33:10,881] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/layer_14-model_00-model_states.pt.
0: [2022-11-28 15:33:10,882] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step5000/mp_rank_00_model_states.pt
0: [2022-11-28 15:33:10,882] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/mp_rank_00_model_states.pt...
0: [2022-11-28 15:33:10,884] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step5000/mp_rank_00_model_states.pt.
0: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
4: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
7: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
1: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt...
3: [2022-11-28 15:33:10,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step5000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
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0:   successfully saved checkpoint at iteration    5000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 245.94
7:  iteration     5010/   37905 | consumed samples:      1282560 | consumed tokens:   2626682880 | elapsed time per iteration (s): 0.34 | learning rate: 1.933E-05 | global batch size:   256 | lm loss: 4.163323E+00 | grad norm: 1.307 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 752.215 | TFLOPs: 19.16 |
7:  iteration     5020/   37905 | consumed samples:      1285120 | consumed tokens:   2631925760 | elapsed time per iteration (s): 0.27 | learning rate: 1.933E-05 | global batch size:   256 | lm loss: 4.143089E+00 | grad norm: 1.214 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.561 | TFLOPs: 24.19 |
7:  iteration     5030/   37905 | consumed samples:      1287680 | consumed tokens:   2637168640 | elapsed time per iteration (s): 0.28 | learning rate: 1.933E-05 | global batch size:   256 | lm loss: 4.164351E+00 | grad norm: 1.118 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 899.259 | TFLOPs: 22.91 |
7:  iteration     5040/   37905 | consumed samples:      1290240 | consumed tokens:   2642411520 | elapsed time per iteration (s): 0.27 | learning rate: 1.932E-05 | global batch size:   256 | lm loss: 4.129699E+00 | grad norm: 1.238 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.351 | TFLOPs: 23.85 |
7:  iteration     5050/   37905 | consumed samples:      1292800 | consumed tokens:   2647654400 | elapsed time per iteration (s): 0.29 | learning rate: 1.932E-05 | global batch size:   256 | lm loss: 4.117176E+00 | grad norm: 1.376 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 882.442 | TFLOPs: 22.48 |
7:  iteration     5060/   37905 | consumed samples:      1295360 | consumed tokens:   2652897280 | elapsed time per iteration (s): 0.26 | learning rate: 1.932E-05 | global batch size:   256 | lm loss: 4.136164E+00 | grad norm: 1.245 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.326 | TFLOPs: 25.31 |
7:  iteration     5070/   37905 | consumed samples:      1297920 | consumed tokens:   2658140160 | elapsed time per iteration (s): 0.27 | learning rate: 1.931E-05 | global batch size:   256 | lm loss: 4.156636E+00 | grad norm: 1.196 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.414 | TFLOPs: 24.08 |
7:  iteration     5080/   37905 | consumed samples:      1300480 | consumed tokens:   2663383040 | elapsed time per iteration (s): 0.25 | learning rate: 1.931E-05 | global batch size:   256 | lm loss: 4.172689E+00 | grad norm: 1.325 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.809 | TFLOPs: 25.90 |
7:  iteration     5090/   37905 | consumed samples:      1303040 | consumed tokens:   2668625920 | elapsed time per iteration (s): 0.26 | learning rate: 1.931E-05 | global batch size:   256 | lm loss: 4.140442E+00 | grad norm: 1.158 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.804 | TFLOPs: 24.91 |
7:  iteration     5100/   37905 | consumed samples:      1305600 | consumed tokens:   2673868800 | elapsed time per iteration (s): 0.26 | learning rate: 1.931E-05 | global batch size:   256 | lm loss: 4.186562E+00 | grad norm: 1.077 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.793 | TFLOPs: 25.24 |
7:  iteration     5110/   37905 | consumed samples:      1308160 | consumed tokens:   2679111680 | elapsed time per iteration (s): 0.32 | learning rate: 1.930E-05 | global batch size:   256 | lm loss: 4.173146E+00 | grad norm: 1.053 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 810.768 | TFLOPs: 20.65 |
7:  iteration     5120/   37905 | consumed samples:      1310720 | consumed tokens:   2684354560 | elapsed time per iteration (s): 0.27 | learning rate: 1.930E-05 | global batch size:   256 | lm loss: 4.155834E+00 | grad norm: 1.182 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.282 | TFLOPs: 24.34 |
7:  iteration     5130/   37905 | consumed samples:      1313280 | consumed tokens:   2689597440 | elapsed time per iteration (s): 0.26 | learning rate: 1.930E-05 | global batch size:   256 | lm loss: 4.163618E+00 | grad norm: 1.112 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.966 | TFLOPs: 24.89 |
7:  iteration     5140/   37905 | consumed samples:      1315840 | consumed tokens:   2694840320 | elapsed time per iteration (s): 0.27 | learning rate: 1.929E-05 | global batch size:   256 | lm loss: 4.132476E+00 | grad norm: 1.292 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.383 | TFLOPs: 24.49 |
7:  iteration     5150/   37905 | consumed samples:      1318400 | consumed tokens:   2700083200 | elapsed time per iteration (s): 0.23 | learning rate: 1.929E-05 | global batch size:   256 | lm loss: 4.154522E+00 | grad norm: 1.325 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.520 | TFLOPs: 28.01 |
7:  iteration     5160/   37905 | consumed samples:      1320960 | consumed tokens:   2705326080 | elapsed time per iteration (s): 0.24 | learning rate: 1.929E-05 | global batch size:   256 | lm loss: 4.147266E+00 | grad norm: 1.109 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.911 | TFLOPs: 27.03 |
7:  iteration     5170/   37905 | consumed samples:      1323520 | consumed tokens:   2710568960 | elapsed time per iteration (s): 0.24 | learning rate: 1.929E-05 | global batch size:   256 | lm loss: 4.140067E+00 | grad norm: 1.210 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.143 | TFLOPs: 26.85 |
7:  iteration     5180/   37905 | consumed samples:      1326080 | consumed tokens:   2715811840 | elapsed time per iteration (s): 0.27 | learning rate: 1.928E-05 | global batch size:   256 | lm loss: 4.129947E+00 | grad norm: 1.132 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.521 | TFLOPs: 24.39 |
7:  iteration     5190/   37905 | consumed samples:      1328640 | consumed tokens:   2721054720 | elapsed time per iteration (s): 0.25 | learning rate: 1.928E-05 | global batch size:   256 | lm loss: 4.101444E+00 | grad norm: 1.166 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.752 | TFLOPs: 26.23 |
7:  iteration     5200/   37905 | consumed samples:      1331200 | consumed tokens:   2726297600 | elapsed time per iteration (s): 0.27 | learning rate: 1.928E-05 | global batch size:   256 | lm loss: 4.123861E+00 | grad norm: 1.361 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.740 | TFLOPs: 23.76 |
7:  iteration     5210/   37905 | consumed samples:      1333760 | consumed tokens:   2731540480 | elapsed time per iteration (s): 0.24 | learning rate: 1.927E-05 | global batch size:   256 | lm loss: 4.097721E+00 | grad norm: 1.320 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.051 | TFLOPs: 27.54 |
7:  iteration     5220/   37905 | consumed samples:      1336320 | consumed tokens:   2736783360 | elapsed time per iteration (s): 0.26 | learning rate: 1.927E-05 | global batch size:   256 | lm loss: 4.101721E+00 | grad norm: 1.039 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.971 | TFLOPs: 25.19 |
7:  iteration     5230/   37905 | consumed samples:      1338880 | consumed tokens:   2742026240 | elapsed time per iteration (s): 0.26 | learning rate: 1.927E-05 | global batch size:   256 | lm loss: 4.128996E+00 | grad norm: 1.164 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.567 | TFLOPs: 25.44 |
7:  iteration     5240/   37905 | consumed samples:      1341440 | consumed tokens:   2747269120 | elapsed time per iteration (s): 0.26 | learning rate: 1.926E-05 | global batch size:   256 | lm loss: 4.092746E+00 | grad norm: 1.284 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.700 | TFLOPs: 24.73 |
7:  iteration     5250/   37905 | consumed samples:      1344000 | consumed tokens:   2752512000 | elapsed time per iteration (s): 0.25 | learning rate: 1.926E-05 | global batch size:   256 | lm loss: 4.122679E+00 | grad norm: 1.199 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.257 | TFLOPs: 26.35 |
7:  iteration     5260/   37905 | consumed samples:      1346560 | consumed tokens:   2757754880 | elapsed time per iteration (s): 0.25 | learning rate: 1.926E-05 | global batch size:   256 | lm loss: 4.142136E+00 | grad norm: 1.241 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.681 | TFLOPs: 26.00 |
7:  iteration     5270/   37905 | consumed samples:      1349120 | consumed tokens:   2762997760 | elapsed time per iteration (s): 0.27 | learning rate: 1.926E-05 | global batch size:   256 | lm loss: 4.064962E+00 | grad norm: 1.212 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.143 | TFLOPs: 24.00 |
7:  iteration     5280/   37905 | consumed samples:      1351680 | consumed tokens:   2768240640 | elapsed time per iteration (s): 0.28 | learning rate: 1.925E-05 | global batch size:   256 | lm loss: 4.126083E+00 | grad norm: 1.328 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.334 | TFLOPs: 23.06 |
7:  iteration     5290/   37905 | consumed samples:      1354240 | consumed tokens:   2773483520 | elapsed time per iteration (s): 0.25 | learning rate: 1.925E-05 | global batch size:   256 | lm loss: 4.078239E+00 | grad norm: 1.123 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.172 | TFLOPs: 25.89 |
7:  iteration     5300/   37905 | consumed samples:      1356800 | consumed tokens:   2778726400 | elapsed time per iteration (s): 0.27 | learning rate: 1.925E-05 | global batch size:   256 | lm loss: 4.082142E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.124 | TFLOPs: 24.26 |
7:  iteration     5310/   37905 | consumed samples:      1359360 | consumed tokens:   2783969280 | elapsed time per iteration (s): 0.25 | learning rate: 1.924E-05 | global batch size:   256 | lm loss: 4.119052E+00 | grad norm: 1.289 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.380 | TFLOPs: 25.69 |
7:  iteration     5320/   37905 | consumed samples:      1361920 | consumed tokens:   2789212160 | elapsed time per iteration (s): 0.29 | learning rate: 1.924E-05 | global batch size:   256 | lm loss: 4.100395E+00 | grad norm: 1.289 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.847 | TFLOPs: 22.36 |
7:  iteration     5330/   37905 | consumed samples:      1364480 | consumed tokens:   2794455040 | elapsed time per iteration (s): 0.25 | learning rate: 1.924E-05 | global batch size:   256 | lm loss: 4.093457E+00 | grad norm: 1.318 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.140 | TFLOPs: 25.94 |
7:  iteration     5340/   37905 | consumed samples:      1367040 | consumed tokens:   2799697920 | elapsed time per iteration (s): 0.27 | learning rate: 1.923E-05 | global batch size:   256 | lm loss: 4.125143E+00 | grad norm: 1.181 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.324 | TFLOPs: 24.21 |
7:  iteration     5350/   37905 | consumed samples:      1369600 | consumed tokens:   2804940800 | elapsed time per iteration (s): 0.28 | learning rate: 1.923E-05 | global batch size:   256 | lm loss: 4.066969E+00 | grad norm: 1.332 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.217 | TFLOPs: 23.19 |
7:  iteration     5360/   37905 | consumed samples:      1372160 | consumed tokens:   2810183680 | elapsed time per iteration (s): 0.28 | learning rate: 1.923E-05 | global batch size:   256 | lm loss: 4.116833E+00 | grad norm: 1.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.589 | TFLOPs: 23.55 |
7:  iteration     5370/   37905 | consumed samples:      1374720 | consumed tokens:   2815426560 | elapsed time per iteration (s): 0.25 | learning rate: 1.923E-05 | global batch size:   256 | lm loss: 4.096069E+00 | grad norm: 1.272 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.223 | TFLOPs: 26.58 |
7:  iteration     5380/   37905 | consumed samples:      1377280 | consumed tokens:   2820669440 | elapsed time per iteration (s): 0.25 | learning rate: 1.922E-05 | global batch size:   256 | lm loss: 4.056934E+00 | grad norm: 1.072 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.765 | TFLOPs: 26.28 |
7:  iteration     5390/   37905 | consumed samples:      1379840 | consumed tokens:   2825912320 | elapsed time per iteration (s): 0.26 | learning rate: 1.922E-05 | global batch size:   256 | lm loss: 4.094821E+00 | grad norm: 1.223 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.493 | TFLOPs: 24.88 |
7:  iteration     5400/   37905 | consumed samples:      1382400 | consumed tokens:   2831155200 | elapsed time per iteration (s): 0.28 | learning rate: 1.922E-05 | global batch size:   256 | lm loss: 4.046702E+00 | grad norm: 1.211 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.769 | TFLOPs: 23.53 |
7:  iteration     5410/   37905 | consumed samples:      1384960 | consumed tokens:   2836398080 | elapsed time per iteration (s): 0.27 | learning rate: 1.921E-05 | global batch size:   256 | lm loss: 4.091775E+00 | grad norm: 1.151 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.865 | TFLOPs: 24.58 |
7:  iteration     5420/   37905 | consumed samples:      1387520 | consumed tokens:   2841640960 | elapsed time per iteration (s): 0.27 | learning rate: 1.921E-05 | global batch size:   256 | lm loss: 4.084519E+00 | grad norm: 1.247 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.398 | TFLOPs: 24.21 |
7:  iteration     5430/   37905 | consumed samples:      1390080 | consumed tokens:   2846883840 | elapsed time per iteration (s): 0.26 | learning rate: 1.921E-05 | global batch size:   256 | lm loss: 4.088031E+00 | grad norm: 1.145 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.817 | TFLOPs: 25.11 |
7:  iteration     5440/   37905 | consumed samples:      1392640 | consumed tokens:   2852126720 | elapsed time per iteration (s): 0.28 | learning rate: 1.920E-05 | global batch size:   256 | lm loss: 4.079094E+00 | grad norm: 1.239 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.330 | TFLOPs: 23.55 |
7:  iteration     5450/   37905 | consumed samples:      1395200 | consumed tokens:   2857369600 | elapsed time per iteration (s): 0.25 | learning rate: 1.920E-05 | global batch size:   256 | lm loss: 4.074720E+00 | grad norm: 1.133 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.620 | TFLOPs: 26.05 |
7:  iteration     5460/   37905 | consumed samples:      1397760 | consumed tokens:   2862612480 | elapsed time per iteration (s): 0.26 | learning rate: 1.920E-05 | global batch size:   256 | lm loss: 4.102229E+00 | grad norm: 1.293 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.315 | TFLOPs: 25.05 |
7:  iteration     5470/   37905 | consumed samples:      1400320 | consumed tokens:   2867855360 | elapsed time per iteration (s): 0.25 | learning rate: 1.919E-05 | global batch size:   256 | lm loss: 4.066946E+00 | grad norm: 1.285 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1036.803 | TFLOPs: 26.41 |
7:  iteration     5480/   37905 | consumed samples:      1402880 | consumed tokens:   2873098240 | elapsed time per iteration (s): 0.28 | learning rate: 1.919E-05 | global batch size:   256 | lm loss: 4.063411E+00 | grad norm: 1.285 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.064 | TFLOPs: 23.69 |
7:  iteration     5490/   37905 | consumed samples:      1405440 | consumed tokens:   2878341120 | elapsed time per iteration (s): 0.26 | learning rate: 1.919E-05 | global batch size:   256 | lm loss: 4.033363E+00 | grad norm: 1.193 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.458 | TFLOPs: 25.10 |
7:  iteration     5500/   37905 | consumed samples:      1408000 | consumed tokens:   2883584000 | elapsed time per iteration (s): 0.28 | learning rate: 1.919E-05 | global batch size:   256 | lm loss: 4.105289E+00 | grad norm: 1.159 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 902.675 | TFLOPs: 23.00 |
7:  iteration     5510/   37905 | consumed samples:      1410560 | consumed tokens:   2888826880 | elapsed time per iteration (s): 0.25 | learning rate: 1.918E-05 | global batch size:   256 | lm loss: 4.073045E+00 | grad norm: 1.379 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.140 | TFLOPs: 25.89 |
7:  iteration     5520/   37905 | consumed samples:      1413120 | consumed tokens:   2894069760 | elapsed time per iteration (s): 0.30 | learning rate: 1.918E-05 | global batch size:   256 | lm loss: 4.094363E+00 | grad norm: 1.278 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 865.920 | TFLOPs: 22.06 |
7:  iteration     5530/   37905 | consumed samples:      1415680 | consumed tokens:   2899312640 | elapsed time per iteration (s): 0.24 | learning rate: 1.918E-05 | global batch size:   256 | lm loss: 4.056171E+00 | grad norm: 1.186 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.344 | TFLOPs: 26.99 |
7:  iteration     5540/   37905 | consumed samples:      1418240 | consumed tokens:   2904555520 | elapsed time per iteration (s): 0.27 | learning rate: 1.917E-05 | global batch size:   256 | lm loss: 4.091883E+00 | grad norm: 1.386 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.464 | TFLOPs: 24.24 |
7:  iteration     5550/   37905 | consumed samples:      1420800 | consumed tokens:   2909798400 | elapsed time per iteration (s): 0.27 | learning rate: 1.917E-05 | global batch size:   256 | lm loss: 4.067302E+00 | grad norm: 1.115 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.995 | TFLOPs: 24.51 |
7:  iteration     5560/   37905 | consumed samples:      1423360 | consumed tokens:   2915041280 | elapsed time per iteration (s): 0.26 | learning rate: 1.917E-05 | global batch size:   256 | lm loss: 4.037211E+00 | grad norm: 1.153 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.493 | TFLOPs: 25.11 |
7:  iteration     5570/   37905 | consumed samples:      1425920 | consumed tokens:   2920284160 | elapsed time per iteration (s): 0.25 | learning rate: 1.916E-05 | global batch size:   256 | lm loss: 4.079794E+00 | grad norm: 1.112 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.879 | TFLOPs: 26.11 |
7:  iteration     5580/   37905 | consumed samples:      1428480 | consumed tokens:   2925527040 | elapsed time per iteration (s): 0.27 | learning rate: 1.916E-05 | global batch size:   256 | lm loss: 4.024885E+00 | grad norm: 1.289 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.404 | TFLOPs: 24.11 |
7:  iteration     5590/   37905 | consumed samples:      1431040 | consumed tokens:   2930769920 | elapsed time per iteration (s): 0.26 | learning rate: 1.916E-05 | global batch size:   256 | lm loss: 4.035717E+00 | grad norm: 1.255 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.281 | TFLOPs: 25.38 |
7:  iteration     5600/   37905 | consumed samples:      1433600 | consumed tokens:   2936012800 | elapsed time per iteration (s): 0.25 | learning rate: 1.915E-05 | global batch size:   256 | lm loss: 4.021421E+00 | grad norm: 1.215 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.105 | TFLOPs: 26.57 |
7:  iteration     5610/   37905 | consumed samples:      1436160 | consumed tokens:   2941255680 | elapsed time per iteration (s): 0.27 | learning rate: 1.915E-05 | global batch size:   256 | lm loss: 4.075710E+00 | grad norm: 1.059 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.265 | TFLOPs: 23.90 |
7:  iteration     5620/   37905 | consumed samples:      1438720 | consumed tokens:   2946498560 | elapsed time per iteration (s): 0.24 | learning rate: 1.915E-05 | global batch size:   256 | lm loss: 4.023904E+00 | grad norm: 1.206 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.485 | TFLOPs: 26.84 |
7:  iteration     5630/   37905 | consumed samples:      1441280 | consumed tokens:   2951741440 | elapsed time per iteration (s): 0.25 | learning rate: 1.914E-05 | global batch size:   256 | lm loss: 4.089837E+00 | grad norm: 0.964 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.148 | TFLOPs: 25.61 |
7:  iteration     5640/   37905 | consumed samples:      1443840 | consumed tokens:   2956984320 | elapsed time per iteration (s): 0.25 | learning rate: 1.914E-05 | global batch size:   256 | lm loss: 3.988572E+00 | grad norm: 1.074 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.890 | TFLOPs: 26.08 |
7:  iteration     5650/   37905 | consumed samples:      1446400 | consumed tokens:   2962227200 | elapsed time per iteration (s): 0.26 | learning rate: 1.914E-05 | global batch size:   256 | lm loss: 4.050535E+00 | grad norm: 1.077 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.826 | TFLOPs: 24.66 |
7:  iteration     5660/   37905 | consumed samples:      1448960 | consumed tokens:   2967470080 | elapsed time per iteration (s): 0.29 | learning rate: 1.913E-05 | global batch size:   256 | lm loss: 4.010929E+00 | grad norm: 1.326 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.941 | TFLOPs: 22.72 |
7:  iteration     5670/   37905 | consumed samples:      1451520 | consumed tokens:   2972712960 | elapsed time per iteration (s): 0.28 | learning rate: 1.913E-05 | global batch size:   256 | lm loss: 4.069492E+00 | grad norm: 1.340 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.498 | TFLOPs: 23.70 |
7:  iteration     5680/   37905 | consumed samples:      1454080 | consumed tokens:   2977955840 | elapsed time per iteration (s): 0.28 | learning rate: 1.913E-05 | global batch size:   256 | lm loss: 4.046318E+00 | grad norm: 1.072 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.854 | TFLOPs: 23.10 |
7:  iteration     5690/   37905 | consumed samples:      1456640 | consumed tokens:   2983198720 | elapsed time per iteration (s): 0.26 | learning rate: 1.912E-05 | global batch size:   256 | lm loss: 4.090203E+00 | grad norm: 1.137 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.975 | TFLOPs: 25.40 |
7:  iteration     5700/   37905 | consumed samples:      1459200 | consumed tokens:   2988441600 | elapsed time per iteration (s): 0.26 | learning rate: 1.912E-05 | global batch size:   256 | lm loss: 4.061622E+00 | grad norm: 1.078 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.007 | TFLOPs: 24.76 |
7:  iteration     5710/   37905 | consumed samples:      1461760 | consumed tokens:   2993684480 | elapsed time per iteration (s): 0.28 | learning rate: 1.912E-05 | global batch size:   256 | lm loss: 4.026799E+00 | grad norm: 1.321 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.186 | TFLOPs: 23.16 |
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7:  iteration     5820/   37905 | consumed samples:      1489920 | consumed tokens:   3051356160 | elapsed time per iteration (s): 0.26 | learning rate: 1.908E-05 | global batch size:   256 | lm loss: 4.019881E+00 | grad norm: 1.269 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.961 | TFLOPs: 25.24 |
7:  iteration     5830/   37905 | consumed samples:      1492480 | consumed tokens:   3056599040 | elapsed time per iteration (s): 0.26 | learning rate: 1.908E-05 | global batch size:   256 | lm loss: 3.992138E+00 | grad norm: 0.992 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.326 | TFLOPs: 25.28 |
7:  iteration     5840/   37905 | consumed samples:      1495040 | consumed tokens:   3061841920 | elapsed time per iteration (s): 0.25 | learning rate: 1.908E-05 | global batch size:   256 | lm loss: 4.011811E+00 | grad norm: 1.092 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.241 | TFLOPs: 26.04 |
7:  iteration     5850/   37905 | consumed samples:      1497600 | consumed tokens:   3067084800 | elapsed time per iteration (s): 0.30 | learning rate: 1.907E-05 | global batch size:   256 | lm loss: 4.021041E+00 | grad norm: 1.186 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.280 | TFLOPs: 21.48 |
7:  iteration     5860/   37905 | consumed samples:      1500160 | consumed tokens:   3072327680 | elapsed time per iteration (s): 0.26 | learning rate: 1.907E-05 | global batch size:   256 | lm loss: 4.001744E+00 | grad norm: 1.378 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.848 | TFLOPs: 25.09 |
7:  iteration     5870/   37905 | consumed samples:      1502720 | consumed tokens:   3077570560 | elapsed time per iteration (s): 0.25 | learning rate: 1.907E-05 | global batch size:   256 | lm loss: 4.010875E+00 | grad norm: 1.084 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.480 | TFLOPs: 26.61 |
7:  iteration     5880/   37905 | consumed samples:      1505280 | consumed tokens:   3082813440 | elapsed time per iteration (s): 0.28 | learning rate: 1.906E-05 | global batch size:   256 | lm loss: 4.003819E+00 | grad norm: 1.172 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.891 | TFLOPs: 23.56 |
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7:  iteration     5900/   37905 | consumed samples:      1510400 | consumed tokens:   3093299200 | elapsed time per iteration (s): 0.28 | learning rate: 1.906E-05 | global batch size:   256 | lm loss: 3.967991E+00 | grad norm: 1.005 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.018 | TFLOPs: 23.59 |
7:  iteration     5910/   37905 | consumed samples:      1512960 | consumed tokens:   3098542080 | elapsed time per iteration (s): 0.24 | learning rate: 1.905E-05 | global batch size:   256 | lm loss: 3.993216E+00 | grad norm: 1.136 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.437 | TFLOPs: 26.89 |
7:  iteration     5920/   37905 | consumed samples:      1515520 | consumed tokens:   3103784960 | elapsed time per iteration (s): 0.29 | learning rate: 1.905E-05 | global batch size:   256 | lm loss: 4.021113E+00 | grad norm: 1.266 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.473 | TFLOPs: 22.28 |
7:  iteration     5930/   37905 | consumed samples:      1518080 | consumed tokens:   3109027840 | elapsed time per iteration (s): 0.24 | learning rate: 1.905E-05 | global batch size:   256 | lm loss: 3.990247E+00 | grad norm: 1.137 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.171 | TFLOPs: 26.65 |
7:  iteration     5940/   37905 | consumed samples:      1520640 | consumed tokens:   3114270720 | elapsed time per iteration (s): 0.26 | learning rate: 1.904E-05 | global batch size:   256 | lm loss: 3.982248E+00 | grad norm: 1.362 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.689 | TFLOPs: 25.34 |
7:  iteration     5950/   37905 | consumed samples:      1523200 | consumed tokens:   3119513600 | elapsed time per iteration (s): 0.26 | learning rate: 1.904E-05 | global batch size:   256 | lm loss: 4.001337E+00 | grad norm: 1.063 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.894 | TFLOPs: 25.24 |
7:  iteration     5960/   37905 | consumed samples:      1525760 | consumed tokens:   3124756480 | elapsed time per iteration (s): 0.28 | learning rate: 1.904E-05 | global batch size:   256 | lm loss: 4.003826E+00 | grad norm: 1.108 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.432 | TFLOPs: 23.30 |
7:  iteration     5970/   37905 | consumed samples:      1528320 | consumed tokens:   3129999360 | elapsed time per iteration (s): 0.26 | learning rate: 1.903E-05 | global batch size:   256 | lm loss: 4.026416E+00 | grad norm: 1.180 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.517 | TFLOPs: 25.00 |
7:  iteration     5980/   37905 | consumed samples:      1530880 | consumed tokens:   3135242240 | elapsed time per iteration (s): 0.27 | learning rate: 1.903E-05 | global batch size:   256 | lm loss: 3.990965E+00 | grad norm: 1.075 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.148 | TFLOPs: 24.43 |
7:  iteration     5990/   37905 | consumed samples:      1533440 | consumed tokens:   3140485120 | elapsed time per iteration (s): 0.25 | learning rate: 1.903E-05 | global batch size:   256 | lm loss: 4.008276E+00 | grad norm: 1.181 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.650 | TFLOPs: 26.03 |
0: [2022-11-28 15:37:34,954] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[1.9021778213052494e-05, 1.9021778213052494e-05, 1.9021778213052494e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration     6000/   37905 | consumed samples:      1536000 | consumed tokens:   3145728000 | elapsed time per iteration (s): 0.28 | learning rate: 1.902E-05 | global batch size:   256 | lm loss: 3.978200E+00 | grad norm: 1.125 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.829 | TFLOPs: 23.03 |
0: steps: 6000 loss: 4.0136 iter time (s): 0.262 samples/sec: 976.434
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 6000 | lm loss value: 3.906873E+00 | lm loss PPL: 4.974316E+01 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    6000 to checkpoints_83slr
0: [2022-11-28 15:37:35,044] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save!
0: [2022-11-28 15:37:35,047] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:37:35,118] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step6000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:37:35,118] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_03-model_00-model_states.pt...
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0: [2022-11-28 15:37:35,130] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_04-model_00-model_states.pt...
0: [2022-11-28 15:37:35,141] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step6000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 15:37:35,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step6000/layer_05-model_00-model_states.pt.
0: [2022-11-28 15:37:35,154] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_06-model_00-model_states.pt...
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0: [2022-11-28 15:37:35,176] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step6000/layer_07-model_00-model_states.pt.
0: [2022-11-28 15:37:35,176] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_08-model_00-model_states.pt...
0: [2022-11-28 15:37:35,187] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step6000/layer_08-model_00-model_states.pt.
0: [2022-11-28 15:37:35,187] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_09-model_00-model_states.pt...
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0: [2022-11-28 15:37:35,209] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_11-model_00-model_states.pt...
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0: [2022-11-28 15:37:35,220] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_12-model_00-model_states.pt...
0: [2022-11-28 15:37:35,231] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step6000/layer_12-model_00-model_states.pt.
0: [2022-11-28 15:37:35,231] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/layer_14-model_00-model_states.pt...
0: [2022-11-28 15:37:35,232] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step6000/layer_14-model_00-model_states.pt.
0: [2022-11-28 15:37:35,232] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step6000/mp_rank_00_model_states.pt
0: [2022-11-28 15:37:35,232] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/mp_rank_00_model_states.pt...
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0: [2022-11-28 15:37:35,252] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:37:35,252] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:37:35,252] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
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7: [2022-11-28 15:37:35,252] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
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2: [2022-11-28 15:37:35,252] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
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0: [2022-11-28 15:37:35,252] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step6000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
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0:   successfully saved checkpoint at iteration    6000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 242.38
7:  iteration     6010/   37905 | consumed samples:      1538560 | consumed tokens:   3150970880 | elapsed time per iteration (s): 0.29 | learning rate: 1.902E-05 | global batch size:   256 | lm loss: 4.007818E+00 | grad norm: 0.922 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.457 | TFLOPs: 22.28 |
7:  iteration     6020/   37905 | consumed samples:      1541120 | consumed tokens:   3156213760 | elapsed time per iteration (s): 0.29 | learning rate: 1.901E-05 | global batch size:   256 | lm loss: 3.960540E+00 | grad norm: 1.237 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 868.558 | TFLOPs: 22.13 |
7:  iteration     6030/   37905 | consumed samples:      1543680 | consumed tokens:   3161456640 | elapsed time per iteration (s): 0.24 | learning rate: 1.901E-05 | global batch size:   256 | lm loss: 3.961503E+00 | grad norm: 1.119 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.264 | TFLOPs: 26.88 |
7:  iteration     6040/   37905 | consumed samples:      1546240 | consumed tokens:   3166699520 | elapsed time per iteration (s): 0.27 | learning rate: 1.901E-05 | global batch size:   256 | lm loss: 4.018885E+00 | grad norm: 1.193 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.156 | TFLOPs: 24.49 |
7:  iteration     6050/   37905 | consumed samples:      1548800 | consumed tokens:   3171942400 | elapsed time per iteration (s): 0.26 | learning rate: 1.900E-05 | global batch size:   256 | lm loss: 3.942627E+00 | grad norm: 1.173 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.369 | TFLOPs: 25.20 |
7:  iteration     6060/   37905 | consumed samples:      1551360 | consumed tokens:   3177185280 | elapsed time per iteration (s): 0.26 | learning rate: 1.900E-05 | global batch size:   256 | lm loss: 3.958991E+00 | grad norm: 1.025 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.551 | TFLOPs: 24.85 |
7:  iteration     6070/   37905 | consumed samples:      1553920 | consumed tokens:   3182428160 | elapsed time per iteration (s): 0.27 | learning rate: 1.900E-05 | global batch size:   256 | lm loss: 3.988876E+00 | grad norm: 1.032 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.453 | TFLOPs: 24.24 |
7:  iteration     6080/   37905 | consumed samples:      1556480 | consumed tokens:   3187671040 | elapsed time per iteration (s): 0.26 | learning rate: 1.899E-05 | global batch size:   256 | lm loss: 3.971178E+00 | grad norm: 1.195 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.643 | TFLOPs: 25.08 |
7:  iteration     6090/   37905 | consumed samples:      1559040 | consumed tokens:   3192913920 | elapsed time per iteration (s): 0.25 | learning rate: 1.899E-05 | global batch size:   256 | lm loss: 3.958059E+00 | grad norm: 1.041 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.145 | TFLOPs: 26.45 |
7:  iteration     6100/   37905 | consumed samples:      1561600 | consumed tokens:   3198156800 | elapsed time per iteration (s): 0.27 | learning rate: 1.899E-05 | global batch size:   256 | lm loss: 3.983839E+00 | grad norm: 1.109 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.535 | TFLOPs: 24.22 |
7:  iteration     6110/   37905 | consumed samples:      1564160 | consumed tokens:   3203399680 | elapsed time per iteration (s): 0.25 | learning rate: 1.898E-05 | global batch size:   256 | lm loss: 3.946717E+00 | grad norm: 1.134 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.722 | TFLOPs: 25.62 |
7:  iteration     6120/   37905 | consumed samples:      1566720 | consumed tokens:   3208642560 | elapsed time per iteration (s): 0.29 | learning rate: 1.898E-05 | global batch size:   256 | lm loss: 3.925219E+00 | grad norm: 1.135 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.702 | TFLOPs: 22.87 |
7:  iteration     6130/   37905 | consumed samples:      1569280 | consumed tokens:   3213885440 | elapsed time per iteration (s): 0.26 | learning rate: 1.898E-05 | global batch size:   256 | lm loss: 3.963636E+00 | grad norm: 1.137 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.398 | TFLOPs: 25.49 |
7:  iteration     6140/   37905 | consumed samples:      1571840 | consumed tokens:   3219128320 | elapsed time per iteration (s): 0.25 | learning rate: 1.897E-05 | global batch size:   256 | lm loss: 3.945200E+00 | grad norm: 1.042 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.734 | TFLOPs: 25.85 |
7:  iteration     6150/   37905 | consumed samples:      1574400 | consumed tokens:   3224371200 | elapsed time per iteration (s): 0.27 | learning rate: 1.897E-05 | global batch size:   256 | lm loss: 3.954665E+00 | grad norm: 1.166 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.829 | TFLOPs: 24.10 |
7:  iteration     6160/   37905 | consumed samples:      1576960 | consumed tokens:   3229614080 | elapsed time per iteration (s): 0.27 | learning rate: 1.897E-05 | global batch size:   256 | lm loss: 3.930946E+00 | grad norm: 1.061 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.598 | TFLOPs: 23.78 |
7:  iteration     6170/   37905 | consumed samples:      1579520 | consumed tokens:   3234856960 | elapsed time per iteration (s): 0.27 | learning rate: 1.896E-05 | global batch size:   256 | lm loss: 3.945526E+00 | grad norm: 1.046 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 943.597 | TFLOPs: 24.04 |
7:  iteration     6180/   37905 | consumed samples:      1582080 | consumed tokens:   3240099840 | elapsed time per iteration (s): 0.28 | learning rate: 1.896E-05 | global batch size:   256 | lm loss: 3.931762E+00 | grad norm: 1.229 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.880 | TFLOPs: 23.28 |
7:  iteration     6190/   37905 | consumed samples:      1584640 | consumed tokens:   3245342720 | elapsed time per iteration (s): 0.25 | learning rate: 1.896E-05 | global batch size:   256 | lm loss: 3.964612E+00 | grad norm: 1.048 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.924 | TFLOPs: 26.24 |
7:  iteration     6200/   37905 | consumed samples:      1587200 | consumed tokens:   3250585600 | elapsed time per iteration (s): 0.28 | learning rate: 1.895E-05 | global batch size:   256 | lm loss: 3.945103E+00 | grad norm: 0.963 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.373 | TFLOPs: 23.09 |
7:  iteration     6210/   37905 | consumed samples:      1589760 | consumed tokens:   3255828480 | elapsed time per iteration (s): 0.25 | learning rate: 1.895E-05 | global batch size:   256 | lm loss: 3.982138E+00 | grad norm: 1.256 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.630 | TFLOPs: 26.18 |
7:  iteration     6220/   37905 | consumed samples:      1592320 | consumed tokens:   3261071360 | elapsed time per iteration (s): 0.26 | learning rate: 1.895E-05 | global batch size:   256 | lm loss: 3.959560E+00 | grad norm: 1.146 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.760 | TFLOPs: 25.09 |
7:  iteration     6230/   37905 | consumed samples:      1594880 | consumed tokens:   3266314240 | elapsed time per iteration (s): 0.25 | learning rate: 1.894E-05 | global batch size:   256 | lm loss: 3.974159E+00 | grad norm: 1.110 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.073 | TFLOPs: 26.57 |
7:  iteration     6240/   37905 | consumed samples:      1597440 | consumed tokens:   3271557120 | elapsed time per iteration (s): 0.27 | learning rate: 1.894E-05 | global batch size:   256 | lm loss: 3.976146E+00 | grad norm: 1.083 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 939.285 | TFLOPs: 23.93 |
7:  iteration     6250/   37905 | consumed samples:      1600000 | consumed tokens:   3276800000 | elapsed time per iteration (s): 0.26 | learning rate: 1.893E-05 | global batch size:   256 | lm loss: 3.931805E+00 | grad norm: 1.110 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.075 | TFLOPs: 25.53 |
7:  iteration     6260/   37905 | consumed samples:      1602560 | consumed tokens:   3282042880 | elapsed time per iteration (s): 0.25 | learning rate: 1.893E-05 | global batch size:   256 | lm loss: 3.962879E+00 | grad norm: 1.006 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.834 | TFLOPs: 25.98 |
7:  iteration     6270/   37905 | consumed samples:      1605120 | consumed tokens:   3287285760 | elapsed time per iteration (s): 0.30 | learning rate: 1.893E-05 | global batch size:   256 | lm loss: 3.936587E+00 | grad norm: 1.109 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 858.258 | TFLOPs: 21.86 |
7:  iteration     6280/   37905 | consumed samples:      1607680 | consumed tokens:   3292528640 | elapsed time per iteration (s): 0.25 | learning rate: 1.892E-05 | global batch size:   256 | lm loss: 3.928858E+00 | grad norm: 1.115 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.496 | TFLOPs: 26.05 |
7:  iteration     6290/   37905 | consumed samples:      1610240 | consumed tokens:   3297771520 | elapsed time per iteration (s): 0.26 | learning rate: 1.892E-05 | global batch size:   256 | lm loss: 3.916147E+00 | grad norm: 1.310 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.475 | TFLOPs: 25.23 |
7:  iteration     6300/   37905 | consumed samples:      1612800 | consumed tokens:   3303014400 | elapsed time per iteration (s): 0.25 | learning rate: 1.892E-05 | global batch size:   256 | lm loss: 3.929921E+00 | grad norm: 1.158 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.559 | TFLOPs: 26.38 |
7:  iteration     6310/   37905 | consumed samples:      1615360 | consumed tokens:   3308257280 | elapsed time per iteration (s): 0.26 | learning rate: 1.891E-05 | global batch size:   256 | lm loss: 3.912661E+00 | grad norm: 1.021 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.212 | TFLOPs: 25.43 |
7:  iteration     6320/   37905 | consumed samples:      1617920 | consumed tokens:   3313500160 | elapsed time per iteration (s): 0.26 | learning rate: 1.891E-05 | global batch size:   256 | lm loss: 3.931869E+00 | grad norm: 1.121 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.304 | TFLOPs: 25.05 |
7:  iteration     6330/   37905 | consumed samples:      1620480 | consumed tokens:   3318743040 | elapsed time per iteration (s): 0.24 | learning rate: 1.891E-05 | global batch size:   256 | lm loss: 3.979175E+00 | grad norm: 1.080 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.121 | TFLOPs: 27.67 |
7:  iteration     6340/   37905 | consumed samples:      1623040 | consumed tokens:   3323985920 | elapsed time per iteration (s): 0.27 | learning rate: 1.890E-05 | global batch size:   256 | lm loss: 3.880795E+00 | grad norm: 1.199 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.759 | TFLOPs: 24.12 |
7:  iteration     6350/   37905 | consumed samples:      1625600 | consumed tokens:   3329228800 | elapsed time per iteration (s): 0.27 | learning rate: 1.890E-05 | global batch size:   256 | lm loss: 3.931205E+00 | grad norm: 1.156 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 937.583 | TFLOPs: 23.89 |
7:  iteration     6360/   37905 | consumed samples:      1628160 | consumed tokens:   3334471680 | elapsed time per iteration (s): 0.27 | learning rate: 1.890E-05 | global batch size:   256 | lm loss: 3.905544E+00 | grad norm: 0.932 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.738 | TFLOPs: 24.37 |
7:  iteration     6370/   37905 | consumed samples:      1630720 | consumed tokens:   3339714560 | elapsed time per iteration (s): 0.25 | learning rate: 1.889E-05 | global batch size:   256 | lm loss: 3.949188E+00 | grad norm: 1.039 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.609 | TFLOPs: 26.10 |
7:  iteration     6380/   37905 | consumed samples:      1633280 | consumed tokens:   3344957440 | elapsed time per iteration (s): 0.28 | learning rate: 1.889E-05 | global batch size:   256 | lm loss: 3.910612E+00 | grad norm: 1.231 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.827 | TFLOPs: 23.03 |
7:  iteration     6390/   37905 | consumed samples:      1635840 | consumed tokens:   3350200320 | elapsed time per iteration (s): 0.25 | learning rate: 1.888E-05 | global batch size:   256 | lm loss: 3.909068E+00 | grad norm: 1.100 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.832 | TFLOPs: 26.29 |
7:  iteration     6400/   37905 | consumed samples:      1638400 | consumed tokens:   3355443200 | elapsed time per iteration (s): 0.25 | learning rate: 1.888E-05 | global batch size:   256 | lm loss: 3.907805E+00 | grad norm: 1.060 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.556 | TFLOPs: 26.53 |
7:  iteration     6410/   37905 | consumed samples:      1640960 | consumed tokens:   3360686080 | elapsed time per iteration (s): 0.24 | learning rate: 1.888E-05 | global batch size:   256 | lm loss: 3.948822E+00 | grad norm: 1.105 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.235 | TFLOPs: 27.29 |
7:  iteration     6420/   37905 | consumed samples:      1643520 | consumed tokens:   3365928960 | elapsed time per iteration (s): 0.28 | learning rate: 1.887E-05 | global batch size:   256 | lm loss: 3.890355E+00 | grad norm: 1.144 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.996 | TFLOPs: 23.03 |
7:  iteration     6430/   37905 | consumed samples:      1646080 | consumed tokens:   3371171840 | elapsed time per iteration (s): 0.25 | learning rate: 1.887E-05 | global batch size:   256 | lm loss: 3.919382E+00 | grad norm: 1.083 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.705 | TFLOPs: 26.10 |
7:  iteration     6440/   37905 | consumed samples:      1648640 | consumed tokens:   3376414720 | elapsed time per iteration (s): 0.25 | learning rate: 1.887E-05 | global batch size:   256 | lm loss: 3.925232E+00 | grad norm: 1.054 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.663 | TFLOPs: 26.33 |
7:  iteration     6450/   37905 | consumed samples:      1651200 | consumed tokens:   3381657600 | elapsed time per iteration (s): 0.27 | learning rate: 1.886E-05 | global batch size:   256 | lm loss: 3.906018E+00 | grad norm: 1.134 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.915 | TFLOPs: 24.48 |
7:  iteration     6460/   37905 | consumed samples:      1653760 | consumed tokens:   3386900480 | elapsed time per iteration (s): 0.24 | learning rate: 1.886E-05 | global batch size:   256 | lm loss: 3.857567E+00 | grad norm: 1.007 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1078.065 | TFLOPs: 27.46 |
7:  iteration     6470/   37905 | consumed samples:      1656320 | consumed tokens:   3392143360 | elapsed time per iteration (s): 0.28 | learning rate: 1.886E-05 | global batch size:   256 | lm loss: 3.878603E+00 | grad norm: 1.182 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.923 | TFLOPs: 23.61 |
7:  iteration     6480/   37905 | consumed samples:      1658880 | consumed tokens:   3397386240 | elapsed time per iteration (s): 0.25 | learning rate: 1.885E-05 | global batch size:   256 | lm loss: 3.916349E+00 | grad norm: 1.157 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.720 | TFLOPs: 26.61 |
7:  iteration     6490/   37905 | consumed samples:      1661440 | consumed tokens:   3402629120 | elapsed time per iteration (s): 0.26 | learning rate: 1.885E-05 | global batch size:   256 | lm loss: 3.896245E+00 | grad norm: 0.939 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.977 | TFLOPs: 24.81 |
7:  iteration     6500/   37905 | consumed samples:      1664000 | consumed tokens:   3407872000 | elapsed time per iteration (s): 0.29 | learning rate: 1.884E-05 | global batch size:   256 | lm loss: 3.866949E+00 | grad norm: 1.157 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.690 | TFLOPs: 22.21 |
7:  iteration     6510/   37905 | consumed samples:      1666560 | consumed tokens:   3413114880 | elapsed time per iteration (s): 0.26 | learning rate: 1.884E-05 | global batch size:   256 | lm loss: 3.913084E+00 | grad norm: 1.110 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.447 | TFLOPs: 24.82 |
7:  iteration     6520/   37905 | consumed samples:      1669120 | consumed tokens:   3418357760 | elapsed time per iteration (s): 0.24 | learning rate: 1.884E-05 | global batch size:   256 | lm loss: 3.916459E+00 | grad norm: 1.018 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.339 | TFLOPs: 27.04 |
7:  iteration     6530/   37905 | consumed samples:      1671680 | consumed tokens:   3423600640 | elapsed time per iteration (s): 0.26 | learning rate: 1.883E-05 | global batch size:   256 | lm loss: 3.867015E+00 | grad norm: 1.080 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.932 | TFLOPs: 24.81 |
7:  iteration     6540/   37905 | consumed samples:      1674240 | consumed tokens:   3428843520 | elapsed time per iteration (s): 0.27 | learning rate: 1.883E-05 | global batch size:   256 | lm loss: 3.885499E+00 | grad norm: 0.990 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.590 | TFLOPs: 24.42 |
7:  iteration     6550/   37905 | consumed samples:      1676800 | consumed tokens:   3434086400 | elapsed time per iteration (s): 0.26 | learning rate: 1.883E-05 | global batch size:   256 | lm loss: 3.913195E+00 | grad norm: 1.031 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.951 | TFLOPs: 25.07 |
7:  iteration     6560/   37905 | consumed samples:      1679360 | consumed tokens:   3439329280 | elapsed time per iteration (s): 0.27 | learning rate: 1.882E-05 | global batch size:   256 | lm loss: 3.896323E+00 | grad norm: 1.044 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.711 | TFLOPs: 24.24 |
7:  iteration     6570/   37905 | consumed samples:      1681920 | consumed tokens:   3444572160 | elapsed time per iteration (s): 0.25 | learning rate: 1.882E-05 | global batch size:   256 | lm loss: 3.891488E+00 | grad norm: 1.080 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.308 | TFLOPs: 25.66 |
7:  iteration     6580/   37905 | consumed samples:      1684480 | consumed tokens:   3449815040 | elapsed time per iteration (s): 0.27 | learning rate: 1.881E-05 | global batch size:   256 | lm loss: 3.911478E+00 | grad norm: 1.092 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.177 | TFLOPs: 24.49 |
7:  iteration     6590/   37905 | consumed samples:      1687040 | consumed tokens:   3455057920 | elapsed time per iteration (s): 0.26 | learning rate: 1.881E-05 | global batch size:   256 | lm loss: 3.895176E+00 | grad norm: 1.054 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.673 | TFLOPs: 25.26 |
7:  iteration     6600/   37905 | consumed samples:      1689600 | consumed tokens:   3460300800 | elapsed time per iteration (s): 0.30 | learning rate: 1.881E-05 | global batch size:   256 | lm loss: 3.887754E+00 | grad norm: 1.009 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 852.230 | TFLOPs: 21.71 |
7:  iteration     6610/   37905 | consumed samples:      1692160 | consumed tokens:   3465543680 | elapsed time per iteration (s): 0.25 | learning rate: 1.880E-05 | global batch size:   256 | lm loss: 3.901742E+00 | grad norm: 1.184 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.964 | TFLOPs: 25.65 |
7:  iteration     6620/   37905 | consumed samples:      1694720 | consumed tokens:   3470786560 | elapsed time per iteration (s): 0.25 | learning rate: 1.880E-05 | global batch size:   256 | lm loss: 3.864003E+00 | grad norm: 1.127 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.886 | TFLOPs: 26.06 |
7:  iteration     6630/   37905 | consumed samples:      1697280 | consumed tokens:   3476029440 | elapsed time per iteration (s): 0.27 | learning rate: 1.880E-05 | global batch size:   256 | lm loss: 3.902308E+00 | grad norm: 1.067 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.004 | TFLOPs: 24.07 |
7:  iteration     6640/   37905 | consumed samples:      1699840 | consumed tokens:   3481272320 | elapsed time per iteration (s): 0.28 | learning rate: 1.879E-05 | global batch size:   256 | lm loss: 3.845636E+00 | grad norm: 1.159 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 922.973 | TFLOPs: 23.51 |
7:  iteration     6650/   37905 | consumed samples:      1702400 | consumed tokens:   3486515200 | elapsed time per iteration (s): 0.27 | learning rate: 1.879E-05 | global batch size:   256 | lm loss: 3.833440E+00 | grad norm: 1.020 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.215 | TFLOPs: 24.49 |
7:  iteration     6660/   37905 | consumed samples:      1704960 | consumed tokens:   3491758080 | elapsed time per iteration (s): 0.27 | learning rate: 1.878E-05 | global batch size:   256 | lm loss: 3.909473E+00 | grad norm: 1.089 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.304 | TFLOPs: 24.54 |
7:  iteration     6670/   37905 | consumed samples:      1707520 | consumed tokens:   3497000960 | elapsed time per iteration (s): 0.26 | learning rate: 1.878E-05 | global batch size:   256 | lm loss: 3.857028E+00 | grad norm: 1.042 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.429 | TFLOPs: 25.26 |
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7:  iteration     6750/   37905 | consumed samples:      1728000 | consumed tokens:   3538944000 | elapsed time per iteration (s): 0.24 | learning rate: 1.875E-05 | global batch size:   256 | lm loss: 3.848338E+00 | grad norm: 1.051 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.059 | TFLOPs: 27.41 |
7:  iteration     6760/   37905 | consumed samples:      1730560 | consumed tokens:   3544186880 | elapsed time per iteration (s): 0.24 | learning rate: 1.875E-05 | global batch size:   256 | lm loss: 3.866113E+00 | grad norm: 1.063 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.884 | TFLOPs: 26.82 |
7:  iteration     6770/   37905 | consumed samples:      1733120 | consumed tokens:   3549429760 | elapsed time per iteration (s): 0.24 | learning rate: 1.874E-05 | global batch size:   256 | lm loss: 3.819040E+00 | grad norm: 0.974 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.331 | TFLOPs: 27.70 |
7:  iteration     6780/   37905 | consumed samples:      1735680 | consumed tokens:   3554672640 | elapsed time per iteration (s): 0.24 | learning rate: 1.874E-05 | global batch size:   256 | lm loss: 3.824926E+00 | grad norm: 1.134 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.048 | TFLOPs: 27.21 |
7:  iteration     6790/   37905 | consumed samples:      1738240 | consumed tokens:   3559915520 | elapsed time per iteration (s): 0.26 | learning rate: 1.873E-05 | global batch size:   256 | lm loss: 3.863686E+00 | grad norm: 0.929 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.097 | TFLOPs: 25.02 |
7:  iteration     6800/   37905 | consumed samples:      1740800 | consumed tokens:   3565158400 | elapsed time per iteration (s): 0.25 | learning rate: 1.873E-05 | global batch size:   256 | lm loss: 3.917120E+00 | grad norm: 0.998 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.456 | TFLOPs: 26.45 |
7:  iteration     6810/   37905 | consumed samples:      1743360 | consumed tokens:   3570401280 | elapsed time per iteration (s): 0.28 | learning rate: 1.873E-05 | global batch size:   256 | lm loss: 3.855037E+00 | grad norm: 1.083 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.379 | TFLOPs: 23.37 |
7:  iteration     6820/   37905 | consumed samples:      1745920 | consumed tokens:   3575644160 | elapsed time per iteration (s): 0.24 | learning rate: 1.872E-05 | global batch size:   256 | lm loss: 3.847841E+00 | grad norm: 0.776 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.271 | TFLOPs: 27.11 |
7:  iteration     6830/   37905 | consumed samples:      1748480 | consumed tokens:   3580887040 | elapsed time per iteration (s): 0.27 | learning rate: 1.872E-05 | global batch size:   256 | lm loss: 3.873027E+00 | grad norm: 0.923 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.918 | TFLOPs: 24.20 |
7:  iteration     6840/   37905 | consumed samples:      1751040 | consumed tokens:   3586129920 | elapsed time per iteration (s): 0.27 | learning rate: 1.872E-05 | global batch size:   256 | lm loss: 3.855802E+00 | grad norm: 1.155 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.271 | TFLOPs: 23.98 |
7:  iteration     6850/   37905 | consumed samples:      1753600 | consumed tokens:   3591372800 | elapsed time per iteration (s): 0.25 | learning rate: 1.871E-05 | global batch size:   256 | lm loss: 3.866462E+00 | grad norm: 1.249 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.263 | TFLOPs: 25.69 |
7:  iteration     6860/   37905 | consumed samples:      1756160 | consumed tokens:   3596615680 | elapsed time per iteration (s): 0.28 | learning rate: 1.871E-05 | global batch size:   256 | lm loss: 3.827857E+00 | grad norm: 1.112 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.367 | TFLOPs: 23.42 |
7:  iteration     6870/   37905 | consumed samples:      1758720 | consumed tokens:   3601858560 | elapsed time per iteration (s): 0.25 | learning rate: 1.870E-05 | global batch size:   256 | lm loss: 3.885003E+00 | grad norm: 0.968 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.471 | TFLOPs: 26.20 |
7:  iteration     6880/   37905 | consumed samples:      1761280 | consumed tokens:   3607101440 | elapsed time per iteration (s): 0.25 | learning rate: 1.870E-05 | global batch size:   256 | lm loss: 3.868013E+00 | grad norm: 1.289 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.162 | TFLOPs: 26.45 |
7:  iteration     6890/   37905 | consumed samples:      1763840 | consumed tokens:   3612344320 | elapsed time per iteration (s): 0.26 | learning rate: 1.870E-05 | global batch size:   256 | lm loss: 3.794634E+00 | grad norm: 1.113 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.622 | TFLOPs: 24.93 |
7:  iteration     6900/   37905 | consumed samples:      1766400 | consumed tokens:   3617587200 | elapsed time per iteration (s): 0.26 | learning rate: 1.869E-05 | global batch size:   256 | lm loss: 3.798001E+00 | grad norm: 1.216 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.610 | TFLOPs: 25.44 |
7:  iteration     6910/   37905 | consumed samples:      1768960 | consumed tokens:   3622830080 | elapsed time per iteration (s): 0.25 | learning rate: 1.869E-05 | global batch size:   256 | lm loss: 3.848273E+00 | grad norm: 1.050 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.949 | TFLOPs: 26.01 |
7:  iteration     6920/   37905 | consumed samples:      1771520 | consumed tokens:   3628072960 | elapsed time per iteration (s): 0.27 | learning rate: 1.868E-05 | global batch size:   256 | lm loss: 3.836446E+00 | grad norm: 1.044 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.644 | TFLOPs: 23.76 |
7:  iteration     6930/   37905 | consumed samples:      1774080 | consumed tokens:   3633315840 | elapsed time per iteration (s): 0.25 | learning rate: 1.868E-05 | global batch size:   256 | lm loss: 3.826243E+00 | grad norm: 0.986 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.813 | TFLOPs: 25.83 |
7:  iteration     6940/   37905 | consumed samples:      1776640 | consumed tokens:   3638558720 | elapsed time per iteration (s): 0.26 | learning rate: 1.868E-05 | global batch size:   256 | lm loss: 3.858192E+00 | grad norm: 1.154 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.855 | TFLOPs: 25.19 |
7:  iteration     6950/   37905 | consumed samples:      1779200 | consumed tokens:   3643801600 | elapsed time per iteration (s): 0.26 | learning rate: 1.867E-05 | global batch size:   256 | lm loss: 3.829623E+00 | grad norm: 1.071 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.598 | TFLOPs: 25.13 |
7:  iteration     6960/   37905 | consumed samples:      1781760 | consumed tokens:   3649044480 | elapsed time per iteration (s): 0.26 | learning rate: 1.867E-05 | global batch size:   256 | lm loss: 3.889528E+00 | grad norm: 1.000 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.211 | TFLOPs: 24.72 |
7:  iteration     6970/   37905 | consumed samples:      1784320 | consumed tokens:   3654287360 | elapsed time per iteration (s): 0.23 | learning rate: 1.866E-05 | global batch size:   256 | lm loss: 3.816417E+00 | grad norm: 1.240 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.724 | TFLOPs: 27.96 |
7:  iteration     6980/   37905 | consumed samples:      1786880 | consumed tokens:   3659530240 | elapsed time per iteration (s): 0.27 | learning rate: 1.866E-05 | global batch size:   256 | lm loss: 3.803555E+00 | grad norm: 1.004 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.361 | TFLOPs: 24.08 |
7:  iteration     6990/   37905 | consumed samples:      1789440 | consumed tokens:   3664773120 | elapsed time per iteration (s): 0.26 | learning rate: 1.866E-05 | global batch size:   256 | lm loss: 3.867214E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.620 | TFLOPs: 25.34 |
7:  iteration     7000/   37905 | consumed samples:      1792000 | consumed tokens:   3670016000 | elapsed time per iteration (s): 0.26 | learning rate: 1.865E-05 | global batch size:   256 | lm loss: 3.851970E+00 | grad norm: 0.991 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.079 | TFLOPs: 25.17 |
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 7000 | lm loss value: 3.726381E+00 | lm loss PPL: 4.152853E+01 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    7000 to checkpoints_83slr
0: [2022-11-28 15:41:55,923] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save!
0: [2022-11-28 15:41:55,928] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step7000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 15:41:56,024] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step7000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 15:41:56,115] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step7000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 15:41:56,117] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step7000/mp_rank_00_model_states.pt
0: [2022-11-28 15:41:56,117] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step7000/mp_rank_00_model_states.pt...
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0: [2022-11-28 15:41:56,136] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:41:56,136] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step7000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:41:56,136] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step7000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
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4: [2022-11-28 15:41:56,166] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step7000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 15:41:56,166] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now!
7: [2022-11-28 15:41:56,166] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step7000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
7: [2022-11-28 15:41:56,166] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now!
1: [2022-11-28 15:41:56,169] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step7000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:41:56,169] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step7000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
1: [2022-11-28 15:41:56,169] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now!
3: [2022-11-28 15:41:56,170] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step7000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt.
3: [2022-11-28 15:41:56,170] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step7000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
3: [2022-11-28 15:41:56,170] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now!
0:   successfully saved checkpoint at iteration    7000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 251.50
7:  iteration     7010/   37905 | consumed samples:      1794560 | consumed tokens:   3675258880 | elapsed time per iteration (s): 0.29 | learning rate: 1.865E-05 | global batch size:   256 | lm loss: 3.816692E+00 | grad norm: 0.957 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 887.399 | TFLOPs: 22.61 |
7:  iteration     7020/   37905 | consumed samples:      1797120 | consumed tokens:   3680501760 | elapsed time per iteration (s): 0.24 | learning rate: 1.864E-05 | global batch size:   256 | lm loss: 3.886301E+00 | grad norm: 0.980 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.301 | TFLOPs: 27.52 |
7:  iteration     7030/   37905 | consumed samples:      1799680 | consumed tokens:   3685744640 | elapsed time per iteration (s): 0.26 | learning rate: 1.864E-05 | global batch size:   256 | lm loss: 3.805923E+00 | grad norm: 1.009 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.087 | TFLOPs: 24.61 |
7:  iteration     7040/   37905 | consumed samples:      1802240 | consumed tokens:   3690987520 | elapsed time per iteration (s): 0.28 | learning rate: 1.864E-05 | global batch size:   256 | lm loss: 3.854092E+00 | grad norm: 1.045 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.945 | TFLOPs: 23.61 |
7:  iteration     7050/   37905 | consumed samples:      1804800 | consumed tokens:   3696230400 | elapsed time per iteration (s): 0.28 | learning rate: 1.863E-05 | global batch size:   256 | lm loss: 3.850936E+00 | grad norm: 1.115 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.192 | TFLOPs: 23.70 |
7:  iteration     7060/   37905 | consumed samples:      1807360 | consumed tokens:   3701473280 | elapsed time per iteration (s): 0.24 | learning rate: 1.863E-05 | global batch size:   256 | lm loss: 3.816160E+00 | grad norm: 1.084 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.801 | TFLOPs: 27.28 |
7:  iteration     7070/   37905 | consumed samples:      1809920 | consumed tokens:   3706716160 | elapsed time per iteration (s): 0.27 | learning rate: 1.862E-05 | global batch size:   256 | lm loss: 3.834894E+00 | grad norm: 1.055 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.370 | TFLOPs: 24.26 |
7:  iteration     7080/   37905 | consumed samples:      1812480 | consumed tokens:   3711959040 | elapsed time per iteration (s): 0.25 | learning rate: 1.862E-05 | global batch size:   256 | lm loss: 3.815877E+00 | grad norm: 1.202 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.588 | TFLOPs: 26.00 |
7:  iteration     7090/   37905 | consumed samples:      1815040 | consumed tokens:   3717201920 | elapsed time per iteration (s): 0.29 | learning rate: 1.862E-05 | global batch size:   256 | lm loss: 3.831285E+00 | grad norm: 1.071 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.930 | TFLOPs: 22.34 |
7:  iteration     7100/   37905 | consumed samples:      1817600 | consumed tokens:   3722444800 | elapsed time per iteration (s): 0.25 | learning rate: 1.861E-05 | global batch size:   256 | lm loss: 3.796446E+00 | grad norm: 1.055 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.134 | TFLOPs: 25.94 |
7:  iteration     7110/   37905 | consumed samples:      1820160 | consumed tokens:   3727687680 | elapsed time per iteration (s): 0.28 | learning rate: 1.861E-05 | global batch size:   256 | lm loss: 3.854453E+00 | grad norm: 1.277 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.184 | TFLOPs: 23.01 |
7:  iteration     7120/   37905 | consumed samples:      1822720 | consumed tokens:   3732930560 | elapsed time per iteration (s): 0.25 | learning rate: 1.860E-05 | global batch size:   256 | lm loss: 3.826146E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.878 | TFLOPs: 26.24 |
7:  iteration     7130/   37905 | consumed samples:      1825280 | consumed tokens:   3738173440 | elapsed time per iteration (s): 0.27 | learning rate: 1.860E-05 | global batch size:   256 | lm loss: 3.839372E+00 | grad norm: 1.067 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.061 | TFLOPs: 23.97 |
7:  iteration     7140/   37905 | consumed samples:      1827840 | consumed tokens:   3743416320 | elapsed time per iteration (s): 0.24 | learning rate: 1.860E-05 | global batch size:   256 | lm loss: 3.825374E+00 | grad norm: 1.113 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.859 | TFLOPs: 26.69 |
7:  iteration     7150/   37905 | consumed samples:      1830400 | consumed tokens:   3748659200 | elapsed time per iteration (s): 0.25 | learning rate: 1.859E-05 | global batch size:   256 | lm loss: 3.825301E+00 | grad norm: 1.296 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.592 | TFLOPs: 25.77 |
7:  iteration     7160/   37905 | consumed samples:      1832960 | consumed tokens:   3753902080 | elapsed time per iteration (s): 0.26 | learning rate: 1.859E-05 | global batch size:   256 | lm loss: 3.847646E+00 | grad norm: 1.139 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.941 | TFLOPs: 24.71 |
7:  iteration     7170/   37905 | consumed samples:      1835520 | consumed tokens:   3759144960 | elapsed time per iteration (s): 0.27 | learning rate: 1.858E-05 | global batch size:   256 | lm loss: 3.846454E+00 | grad norm: 0.824 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.697 | TFLOPs: 24.47 |
7:  iteration     7180/   37905 | consumed samples:      1838080 | consumed tokens:   3764387840 | elapsed time per iteration (s): 0.29 | learning rate: 1.858E-05 | global batch size:   256 | lm loss: 3.830456E+00 | grad norm: 1.032 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 873.369 | TFLOPs: 22.25 |
7:  iteration     7190/   37905 | consumed samples:      1840640 | consumed tokens:   3769630720 | elapsed time per iteration (s): 0.25 | learning rate: 1.858E-05 | global batch size:   256 | lm loss: 3.795160E+00 | grad norm: 0.994 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.729 | TFLOPs: 26.44 |
7:  iteration     7200/   37905 | consumed samples:      1843200 | consumed tokens:   3774873600 | elapsed time per iteration (s): 0.27 | learning rate: 1.857E-05 | global batch size:   256 | lm loss: 3.806062E+00 | grad norm: 0.971 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.662 | TFLOPs: 24.22 |
7:  iteration     7210/   37905 | consumed samples:      1845760 | consumed tokens:   3780116480 | elapsed time per iteration (s): 0.24 | learning rate: 1.857E-05 | global batch size:   256 | lm loss: 3.835296E+00 | grad norm: 1.108 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.544 | TFLOPs: 26.71 |
7:  iteration     7220/   37905 | consumed samples:      1848320 | consumed tokens:   3785359360 | elapsed time per iteration (s): 0.30 | learning rate: 1.856E-05 | global batch size:   256 | lm loss: 3.817607E+00 | grad norm: 0.886 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 864.188 | TFLOPs: 22.02 |
7:  iteration     7230/   37905 | consumed samples:      1850880 | consumed tokens:   3790602240 | elapsed time per iteration (s): 0.27 | learning rate: 1.856E-05 | global batch size:   256 | lm loss: 3.821146E+00 | grad norm: 1.049 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.236 | TFLOPs: 24.49 |
7:  iteration     7240/   37905 | consumed samples:      1853440 | consumed tokens:   3795845120 | elapsed time per iteration (s): 0.26 | learning rate: 1.856E-05 | global batch size:   256 | lm loss: 3.836089E+00 | grad norm: 1.084 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.188 | TFLOPs: 25.05 |
7:  iteration     7250/   37905 | consumed samples:      1856000 | consumed tokens:   3801088000 | elapsed time per iteration (s): 0.26 | learning rate: 1.855E-05 | global batch size:   256 | lm loss: 3.850761E+00 | grad norm: 1.044 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.934 | TFLOPs: 25.40 |
7:  iteration     7260/   37905 | consumed samples:      1858560 | consumed tokens:   3806330880 | elapsed time per iteration (s): 0.28 | learning rate: 1.855E-05 | global batch size:   256 | lm loss: 3.785606E+00 | grad norm: 0.935 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.545 | TFLOPs: 23.65 |
7:  iteration     7270/   37905 | consumed samples:      1861120 | consumed tokens:   3811573760 | elapsed time per iteration (s): 0.26 | learning rate: 1.854E-05 | global batch size:   256 | lm loss: 3.831019E+00 | grad norm: 1.085 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.972 | TFLOPs: 24.71 |
7:  iteration     7280/   37905 | consumed samples:      1863680 | consumed tokens:   3816816640 | elapsed time per iteration (s): 0.24 | learning rate: 1.854E-05 | global batch size:   256 | lm loss: 3.844395E+00 | grad norm: 0.939 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.486 | TFLOPs: 27.73 |
7:  iteration     7290/   37905 | consumed samples:      1866240 | consumed tokens:   3822059520 | elapsed time per iteration (s): 0.29 | learning rate: 1.854E-05 | global batch size:   256 | lm loss: 3.824259E+00 | grad norm: 0.906 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.799 | TFLOPs: 22.44 |
7:  iteration     7300/   37905 | consumed samples:      1868800 | consumed tokens:   3827302400 | elapsed time per iteration (s): 0.27 | learning rate: 1.853E-05 | global batch size:   256 | lm loss: 3.843257E+00 | grad norm: 0.846 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.620 | TFLOPs: 24.22 |
7:  iteration     7310/   37905 | consumed samples:      1871360 | consumed tokens:   3832545280 | elapsed time per iteration (s): 0.26 | learning rate: 1.853E-05 | global batch size:   256 | lm loss: 3.817413E+00 | grad norm: 1.119 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.761 | TFLOPs: 24.76 |
7:  iteration     7320/   37905 | consumed samples:      1873920 | consumed tokens:   3837788160 | elapsed time per iteration (s): 0.25 | learning rate: 1.852E-05 | global batch size:   256 | lm loss: 3.807099E+00 | grad norm: 0.826 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.190 | TFLOPs: 25.94 |
7:  iteration     7330/   37905 | consumed samples:      1876480 | consumed tokens:   3843031040 | elapsed time per iteration (s): 0.28 | learning rate: 1.852E-05 | global batch size:   256 | lm loss: 3.827843E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.675 | TFLOPs: 23.12 |
7:  iteration     7340/   37905 | consumed samples:      1879040 | consumed tokens:   3848273920 | elapsed time per iteration (s): 0.24 | learning rate: 1.851E-05 | global batch size:   256 | lm loss: 3.780794E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.204 | TFLOPs: 27.57 |
7:  iteration     7350/   37905 | consumed samples:      1881600 | consumed tokens:   3853516800 | elapsed time per iteration (s): 0.28 | learning rate: 1.851E-05 | global batch size:   256 | lm loss: 3.795270E+00 | grad norm: 1.044 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.771 | TFLOPs: 23.10 |
7:  iteration     7360/   37905 | consumed samples:      1884160 | consumed tokens:   3858759680 | elapsed time per iteration (s): 0.25 | learning rate: 1.851E-05 | global batch size:   256 | lm loss: 3.825877E+00 | grad norm: 1.004 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1036.847 | TFLOPs: 26.41 |
7:  iteration     7370/   37905 | consumed samples:      1886720 | consumed tokens:   3864002560 | elapsed time per iteration (s): 0.26 | learning rate: 1.850E-05 | global batch size:   256 | lm loss: 3.804673E+00 | grad norm: 1.045 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.268 | TFLOPs: 25.18 |
7:  iteration     7380/   37905 | consumed samples:      1889280 | consumed tokens:   3869245440 | elapsed time per iteration (s): 0.25 | learning rate: 1.850E-05 | global batch size:   256 | lm loss: 3.809367E+00 | grad norm: 1.104 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.228 | TFLOPs: 25.99 |
7:  iteration     7390/   37905 | consumed samples:      1891840 | consumed tokens:   3874488320 | elapsed time per iteration (s): 0.27 | learning rate: 1.849E-05 | global batch size:   256 | lm loss: 3.765233E+00 | grad norm: 1.019 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.492 | TFLOPs: 24.11 |
7:  iteration     7400/   37905 | consumed samples:      1894400 | consumed tokens:   3879731200 | elapsed time per iteration (s): 0.24 | learning rate: 1.849E-05 | global batch size:   256 | lm loss: 3.814417E+00 | grad norm: 1.046 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.356 | TFLOPs: 26.63 |
7:  iteration     7410/   37905 | consumed samples:      1896960 | consumed tokens:   3884974080 | elapsed time per iteration (s): 0.27 | learning rate: 1.849E-05 | global batch size:   256 | lm loss: 3.827347E+00 | grad norm: 1.151 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.557 | TFLOPs: 24.11 |
7:  iteration     7420/   37905 | consumed samples:      1899520 | consumed tokens:   3890216960 | elapsed time per iteration (s): 0.26 | learning rate: 1.848E-05 | global batch size:   256 | lm loss: 3.772214E+00 | grad norm: 0.946 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.021 | TFLOPs: 25.42 |
7:  iteration     7430/   37905 | consumed samples:      1902080 | consumed tokens:   3895459840 | elapsed time per iteration (s): 0.24 | learning rate: 1.848E-05 | global batch size:   256 | lm loss: 3.804534E+00 | grad norm: 0.875 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.746 | TFLOPs: 27.56 |
7:  iteration     7440/   37905 | consumed samples:      1904640 | consumed tokens:   3900702720 | elapsed time per iteration (s): 0.28 | learning rate: 1.847E-05 | global batch size:   256 | lm loss: 3.750066E+00 | grad norm: 0.988 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.263 | TFLOPs: 23.34 |
7:  iteration     7450/   37905 | consumed samples:      1907200 | consumed tokens:   3905945600 | elapsed time per iteration (s): 0.25 | learning rate: 1.847E-05 | global batch size:   256 | lm loss: 3.802271E+00 | grad norm: 0.914 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.140 | TFLOPs: 25.61 |
7:  iteration     7460/   37905 | consumed samples:      1909760 | consumed tokens:   3911188480 | elapsed time per iteration (s): 0.27 | learning rate: 1.846E-05 | global batch size:   256 | lm loss: 3.816138E+00 | grad norm: 1.122 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.619 | TFLOPs: 24.22 |
7:  iteration     7470/   37905 | consumed samples:      1912320 | consumed tokens:   3916431360 | elapsed time per iteration (s): 0.27 | learning rate: 1.846E-05 | global batch size:   256 | lm loss: 3.767688E+00 | grad norm: 0.981 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.064 | TFLOPs: 24.41 |
7:  iteration     7480/   37905 | consumed samples:      1914880 | consumed tokens:   3921674240 | elapsed time per iteration (s): 0.27 | learning rate: 1.846E-05 | global batch size:   256 | lm loss: 3.768928E+00 | grad norm: 0.871 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.502 | TFLOPs: 24.27 |
7:  iteration     7490/   37905 | consumed samples:      1917440 | consumed tokens:   3926917120 | elapsed time per iteration (s): 0.25 | learning rate: 1.845E-05 | global batch size:   256 | lm loss: 3.804567E+00 | grad norm: 1.042 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.337 | TFLOPs: 25.99 |
7:  iteration     7500/   37905 | consumed samples:      1920000 | consumed tokens:   3932160000 | elapsed time per iteration (s): 0.26 | learning rate: 1.845E-05 | global batch size:   256 | lm loss: 3.762024E+00 | grad norm: 0.985 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.989 | TFLOPs: 25.17 |
7:  iteration     7510/   37905 | consumed samples:      1922560 | consumed tokens:   3937402880 | elapsed time per iteration (s): 0.25 | learning rate: 1.844E-05 | global batch size:   256 | lm loss: 3.768878E+00 | grad norm: 0.992 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.694 | TFLOPs: 25.59 |
7:  iteration     7520/   37905 | consumed samples:      1925120 | consumed tokens:   3942645760 | elapsed time per iteration (s): 0.28 | learning rate: 1.844E-05 | global batch size:   256 | lm loss: 3.817632E+00 | grad norm: 0.997 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.804 | TFLOPs: 23.15 |
7:  iteration     7530/   37905 | consumed samples:      1927680 | consumed tokens:   3947888640 | elapsed time per iteration (s): 0.24 | learning rate: 1.843E-05 | global batch size:   256 | lm loss: 3.825747E+00 | grad norm: 0.995 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.868 | TFLOPs: 27.28 |
7:  iteration     7540/   37905 | consumed samples:      1930240 | consumed tokens:   3953131520 | elapsed time per iteration (s): 0.28 | learning rate: 1.843E-05 | global batch size:   256 | lm loss: 3.807241E+00 | grad norm: 1.059 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.695 | TFLOPs: 23.23 |
7:  iteration     7550/   37905 | consumed samples:      1932800 | consumed tokens:   3958374400 | elapsed time per iteration (s): 0.26 | learning rate: 1.843E-05 | global batch size:   256 | lm loss: 3.769656E+00 | grad norm: 0.956 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.969 | TFLOPs: 25.55 |
7:  iteration     7560/   37905 | consumed samples:      1935360 | consumed tokens:   3963617280 | elapsed time per iteration (s): 0.24 | learning rate: 1.842E-05 | global batch size:   256 | lm loss: 3.773951E+00 | grad norm: 0.821 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.010 | TFLOPs: 27.51 |
7:  iteration     7570/   37905 | consumed samples:      1937920 | consumed tokens:   3968860160 | elapsed time per iteration (s): 0.26 | learning rate: 1.842E-05 | global batch size:   256 | lm loss: 3.801297E+00 | grad norm: 1.059 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.085 | TFLOPs: 24.84 |
7:  iteration     7580/   37905 | consumed samples:      1940480 | consumed tokens:   3974103040 | elapsed time per iteration (s): 0.26 | learning rate: 1.841E-05 | global batch size:   256 | lm loss: 3.812178E+00 | grad norm: 1.005 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.801 | TFLOPs: 25.39 |
7:  iteration     7590/   37905 | consumed samples:      1943040 | consumed tokens:   3979345920 | elapsed time per iteration (s): 0.26 | learning rate: 1.841E-05 | global batch size:   256 | lm loss: 3.815817E+00 | grad norm: 0.950 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.199 | TFLOPs: 24.72 |
7:  iteration     7600/   37905 | consumed samples:      1945600 | consumed tokens:   3984588800 | elapsed time per iteration (s): 0.25 | learning rate: 1.840E-05 | global batch size:   256 | lm loss: 3.779420E+00 | grad norm: 0.877 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.866 | TFLOPs: 26.11 |
7:  iteration     7610/   37905 | consumed samples:      1948160 | consumed tokens:   3989831680 | elapsed time per iteration (s): 0.28 | learning rate: 1.840E-05 | global batch size:   256 | lm loss: 3.834528E+00 | grad norm: 0.891 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.920 | TFLOPs: 23.56 |
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7:  iteration     7770/   37905 | consumed samples:      1989120 | consumed tokens:   4073717760 | elapsed time per iteration (s): 0.29 | learning rate: 1.833E-05 | global batch size:   256 | lm loss: 3.769015E+00 | grad norm: 0.975 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.095 | TFLOPs: 22.85 |
7:  iteration     7780/   37905 | consumed samples:      1991680 | consumed tokens:   4078960640 | elapsed time per iteration (s): 0.26 | learning rate: 1.833E-05 | global batch size:   256 | lm loss: 3.827149E+00 | grad norm: 0.924 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.155 | TFLOPs: 25.30 |
7:  iteration     7790/   37905 | consumed samples:      1994240 | consumed tokens:   4084203520 | elapsed time per iteration (s): 0.27 | learning rate: 1.832E-05 | global batch size:   256 | lm loss: 3.759409E+00 | grad norm: 0.867 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.786 | TFLOPs: 24.58 |
7:  iteration     7800/   37905 | consumed samples:      1996800 | consumed tokens:   4089446400 | elapsed time per iteration (s): 0.24 | learning rate: 1.832E-05 | global batch size:   256 | lm loss: 3.774034E+00 | grad norm: 0.959 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.292 | TFLOPs: 27.65 |
7:  iteration     7810/   37905 | consumed samples:      1999360 | consumed tokens:   4094689280 | elapsed time per iteration (s): 0.26 | learning rate: 1.831E-05 | global batch size:   256 | lm loss: 3.743732E+00 | grad norm: 0.947 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.453 | TFLOPs: 25.13 |
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7:  iteration     7830/   37905 | consumed samples:      2004480 | consumed tokens:   4105175040 | elapsed time per iteration (s): 0.25 | learning rate: 1.831E-05 | global batch size:   256 | lm loss: 3.758830E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.901 | TFLOPs: 26.44 |
7:  iteration     7840/   37905 | consumed samples:      2007040 | consumed tokens:   4110417920 | elapsed time per iteration (s): 0.28 | learning rate: 1.830E-05 | global batch size:   256 | lm loss: 3.755968E+00 | grad norm: 0.823 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.220 | TFLOPs: 23.09 |
7:  iteration     7850/   37905 | consumed samples:      2009600 | consumed tokens:   4115660800 | elapsed time per iteration (s): 0.30 | learning rate: 1.830E-05 | global batch size:   256 | lm loss: 3.807107E+00 | grad norm: 0.875 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 852.975 | TFLOPs: 21.73 |
7:  iteration     7860/   37905 | consumed samples:      2012160 | consumed tokens:   4120903680 | elapsed time per iteration (s): 0.26 | learning rate: 1.829E-05 | global batch size:   256 | lm loss: 3.755549E+00 | grad norm: 1.032 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.926 | TFLOPs: 25.29 |
7:  iteration     7870/   37905 | consumed samples:      2014720 | consumed tokens:   4126146560 | elapsed time per iteration (s): 0.28 | learning rate: 1.829E-05 | global batch size:   256 | lm loss: 3.788891E+00 | grad norm: 0.953 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.212 | TFLOPs: 23.52 |
7:  iteration     7880/   37905 | consumed samples:      2017280 | consumed tokens:   4131389440 | elapsed time per iteration (s): 0.26 | learning rate: 1.828E-05 | global batch size:   256 | lm loss: 3.755879E+00 | grad norm: 1.067 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.429 | TFLOPs: 25.36 |
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7:  iteration     7900/   37905 | consumed samples:      2022400 | consumed tokens:   4141875200 | elapsed time per iteration (s): 0.26 | learning rate: 1.827E-05 | global batch size:   256 | lm loss: 3.729723E+00 | grad norm: 0.978 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.318 | TFLOPs: 25.23 |
7:  iteration     7910/   37905 | consumed samples:      2024960 | consumed tokens:   4147118080 | elapsed time per iteration (s): 0.24 | learning rate: 1.827E-05 | global batch size:   256 | lm loss: 3.791510E+00 | grad norm: 1.265 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.027 | TFLOPs: 27.56 |
7:  iteration     7920/   37905 | consumed samples:      2027520 | consumed tokens:   4152360960 | elapsed time per iteration (s): 0.29 | learning rate: 1.827E-05 | global batch size:   256 | lm loss: 3.740083E+00 | grad norm: 1.092 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 893.734 | TFLOPs: 22.77 |
7:  iteration     7930/   37905 | consumed samples:      2030080 | consumed tokens:   4157603840 | elapsed time per iteration (s): 0.24 | learning rate: 1.826E-05 | global batch size:   256 | lm loss: 3.797139E+00 | grad norm: 0.865 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.592 | TFLOPs: 26.71 |
7:  iteration     7940/   37905 | consumed samples:      2032640 | consumed tokens:   4162846720 | elapsed time per iteration (s): 0.27 | learning rate: 1.826E-05 | global batch size:   256 | lm loss: 3.717840E+00 | grad norm: 0.848 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.984 | TFLOPs: 24.33 |
7:  iteration     7950/   37905 | consumed samples:      2035200 | consumed tokens:   4168089600 | elapsed time per iteration (s): 0.24 | learning rate: 1.825E-05 | global batch size:   256 | lm loss: 3.728403E+00 | grad norm: 0.970 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.743 | TFLOPs: 26.72 |
7:  iteration     7960/   37905 | consumed samples:      2037760 | consumed tokens:   4173332480 | elapsed time per iteration (s): 0.26 | learning rate: 1.825E-05 | global batch size:   256 | lm loss: 3.819947E+00 | grad norm: 1.266 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.446 | TFLOPs: 25.49 |
7:  iteration     7970/   37905 | consumed samples:      2040320 | consumed tokens:   4178575360 | elapsed time per iteration (s): 0.27 | learning rate: 1.824E-05 | global batch size:   256 | lm loss: 3.769810E+00 | grad norm: 0.814 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.350 | TFLOPs: 24.11 |
7:  iteration     7980/   37905 | consumed samples:      2042880 | consumed tokens:   4183818240 | elapsed time per iteration (s): 0.29 | learning rate: 1.824E-05 | global batch size:   256 | lm loss: 3.763022E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.307 | TFLOPs: 22.83 |
7:  iteration     7990/   37905 | consumed samples:      2045440 | consumed tokens:   4189061120 | elapsed time per iteration (s): 0.25 | learning rate: 1.823E-05 | global batch size:   256 | lm loss: 3.809480E+00 | grad norm: 0.946 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.664 | TFLOPs: 25.98 |
0: [2022-11-28 15:46:18,138] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[1.8229552592396328e-05, 1.8229552592396328e-05, 1.8229552592396328e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration     8000/   37905 | consumed samples:      2048000 | consumed tokens:   4194304000 | elapsed time per iteration (s): 0.27 | learning rate: 1.823E-05 | global batch size:   256 | lm loss: 3.759409E+00 | grad norm: 0.999 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.242 | TFLOPs: 24.36 |
0: steps: 8000 loss: 3.7452 iter time (s): 0.259 samples/sec: 986.695
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 8000 | lm loss value: 3.642552E+00 | lm loss PPL: 3.818916E+01 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    8000 to checkpoints_83slr
0: [2022-11-28 15:46:18,228] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save!
0: [2022-11-28 15:46:18,232] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step8000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 15:46:18,422] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step8000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 15:46:18,424] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step8000/mp_rank_00_model_states.pt
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0: [2022-11-28 15:46:18,486] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step8000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
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6: [2022-11-28 15:46:18,486] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step8000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:46:18,486] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step8000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
6: [2022-11-28 15:46:18,486] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step8000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
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6: [2022-11-28 15:46:18,515] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now!
0: [2022-11-28 15:46:18,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:46:18,516] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
0: [2022-11-28 15:46:18,516] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now!
3: [2022-11-28 15:46:18,516] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt.
3: [2022-11-28 15:46:18,516] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt
3: [2022-11-28 15:46:18,516] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now!
2: [2022-11-28 15:46:18,516] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:46:18,516] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
2: [2022-11-28 15:46:18,516] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now!
1: [2022-11-28 15:46:18,517] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:46:18,517] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt
1: [2022-11-28 15:46:18,517] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now!
3: [2022-11-28 15:46:18,517] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt.
3: [2022-11-28 15:46:18,517] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 15:46:18,517] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now!
4: [2022-11-28 15:46:18,518] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:46:18,518] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step8000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
4: [2022-11-28 15:46:18,518] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now!
0:   successfully saved checkpoint at iteration    8000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 301.95
7:  iteration     8010/   37905 | consumed samples:      2050560 | consumed tokens:   4199546880 | elapsed time per iteration (s): 0.29 | learning rate: 1.823E-05 | global batch size:   256 | lm loss: 3.803558E+00 | grad norm: 1.139 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 873.618 | TFLOPs: 22.26 |
7:  iteration     8020/   37905 | consumed samples:      2053120 | consumed tokens:   4204789760 | elapsed time per iteration (s): 0.27 | learning rate: 1.822E-05 | global batch size:   256 | lm loss: 3.749696E+00 | grad norm: 1.004 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.181 | TFLOPs: 24.21 |
7:  iteration     8030/   37905 | consumed samples:      2055680 | consumed tokens:   4210032640 | elapsed time per iteration (s): 0.24 | learning rate: 1.822E-05 | global batch size:   256 | lm loss: 3.731036E+00 | grad norm: 1.090 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.509 | TFLOPs: 26.84 |
7:  iteration     8040/   37905 | consumed samples:      2058240 | consumed tokens:   4215275520 | elapsed time per iteration (s): 0.28 | learning rate: 1.821E-05 | global batch size:   256 | lm loss: 3.733746E+00 | grad norm: 1.315 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.017 | TFLOPs: 23.00 |
7:  iteration     8050/   37905 | consumed samples:      2060800 | consumed tokens:   4220518400 | elapsed time per iteration (s): 0.23 | learning rate: 1.821E-05 | global batch size:   256 | lm loss: 3.737432E+00 | grad norm: 0.926 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.969 | TFLOPs: 28.00 |
7:  iteration     8060/   37905 | consumed samples:      2063360 | consumed tokens:   4225761280 | elapsed time per iteration (s): 0.23 | learning rate: 1.820E-05 | global batch size:   256 | lm loss: 3.793460E+00 | grad norm: 0.885 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.330 | TFLOPs: 27.83 |
7:  iteration     8070/   37905 | consumed samples:      2065920 | consumed tokens:   4231004160 | elapsed time per iteration (s): 0.27 | learning rate: 1.820E-05 | global batch size:   256 | lm loss: 3.739036E+00 | grad norm: 0.988 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.035 | TFLOPs: 24.51 |
7:  iteration     8080/   37905 | consumed samples:      2068480 | consumed tokens:   4236247040 | elapsed time per iteration (s): 0.29 | learning rate: 1.819E-05 | global batch size:   256 | lm loss: 3.739602E+00 | grad norm: 1.227 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 869.310 | TFLOPs: 22.15 |
7:  iteration     8090/   37905 | consumed samples:      2071040 | consumed tokens:   4241489920 | elapsed time per iteration (s): 0.25 | learning rate: 1.819E-05 | global batch size:   256 | lm loss: 3.732882E+00 | grad norm: 1.043 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.070 | TFLOPs: 26.29 |
7:  iteration     8100/   37905 | consumed samples:      2073600 | consumed tokens:   4246732800 | elapsed time per iteration (s): 0.25 | learning rate: 1.818E-05 | global batch size:   256 | lm loss: 3.757409E+00 | grad norm: 1.092 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.673 | TFLOPs: 25.82 |
7:  iteration     8110/   37905 | consumed samples:      2076160 | consumed tokens:   4251975680 | elapsed time per iteration (s): 0.29 | learning rate: 1.818E-05 | global batch size:   256 | lm loss: 3.730025E+00 | grad norm: 0.967 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.817 | TFLOPs: 22.74 |
7:  iteration     8120/   37905 | consumed samples:      2078720 | consumed tokens:   4257218560 | elapsed time per iteration (s): 0.24 | learning rate: 1.818E-05 | global batch size:   256 | lm loss: 3.740202E+00 | grad norm: 1.040 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.392 | TFLOPs: 27.17 |
7:  iteration     8130/   37905 | consumed samples:      2081280 | consumed tokens:   4262461440 | elapsed time per iteration (s): 0.27 | learning rate: 1.817E-05 | global batch size:   256 | lm loss: 3.721418E+00 | grad norm: 0.927 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.119 | TFLOPs: 24.00 |
7:  iteration     8140/   37905 | consumed samples:      2083840 | consumed tokens:   4267704320 | elapsed time per iteration (s): 0.26 | learning rate: 1.817E-05 | global batch size:   256 | lm loss: 3.747430E+00 | grad norm: 0.935 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.761 | TFLOPs: 25.52 |
7:  iteration     8150/   37905 | consumed samples:      2086400 | consumed tokens:   4272947200 | elapsed time per iteration (s): 0.30 | learning rate: 1.816E-05 | global batch size:   256 | lm loss: 3.722737E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 847.052 | TFLOPs: 21.58 |
7:  iteration     8160/   37905 | consumed samples:      2088960 | consumed tokens:   4278190080 | elapsed time per iteration (s): 0.25 | learning rate: 1.816E-05 | global batch size:   256 | lm loss: 3.765210E+00 | grad norm: 0.993 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.863 | TFLOPs: 26.57 |
7:  iteration     8170/   37905 | consumed samples:      2091520 | consumed tokens:   4283432960 | elapsed time per iteration (s): 0.28 | learning rate: 1.815E-05 | global batch size:   256 | lm loss: 3.736939E+00 | grad norm: 0.814 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.237 | TFLOPs: 23.65 |
7:  iteration     8180/   37905 | consumed samples:      2094080 | consumed tokens:   4288675840 | elapsed time per iteration (s): 0.24 | learning rate: 1.815E-05 | global batch size:   256 | lm loss: 3.725489E+00 | grad norm: 1.300 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.839 | TFLOPs: 27.03 |
7:  iteration     8190/   37905 | consumed samples:      2096640 | consumed tokens:   4293918720 | elapsed time per iteration (s): 0.26 | learning rate: 1.814E-05 | global batch size:   256 | lm loss: 3.774753E+00 | grad norm: 0.931 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.231 | TFLOPs: 24.79 |
7:  iteration     8200/   37905 | consumed samples:      2099200 | consumed tokens:   4299161600 | elapsed time per iteration (s): 0.28 | learning rate: 1.814E-05 | global batch size:   256 | lm loss: 3.809218E+00 | grad norm: 1.152 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 901.310 | TFLOPs: 22.96 |
7:  iteration     8210/   37905 | consumed samples:      2101760 | consumed tokens:   4304404480 | elapsed time per iteration (s): 0.25 | learning rate: 1.813E-05 | global batch size:   256 | lm loss: 3.766909E+00 | grad norm: 1.070 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.435 | TFLOPs: 25.82 |
7:  iteration     8220/   37905 | consumed samples:      2104320 | consumed tokens:   4309647360 | elapsed time per iteration (s): 0.26 | learning rate: 1.813E-05 | global batch size:   256 | lm loss: 3.752535E+00 | grad norm: 0.987 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.519 | TFLOPs: 25.34 |
7:  iteration     8230/   37905 | consumed samples:      2106880 | consumed tokens:   4314890240 | elapsed time per iteration (s): 0.27 | learning rate: 1.813E-05 | global batch size:   256 | lm loss: 3.710067E+00 | grad norm: 0.909 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 943.399 | TFLOPs: 24.03 |
7:  iteration     8240/   37905 | consumed samples:      2109440 | consumed tokens:   4320133120 | elapsed time per iteration (s): 0.24 | learning rate: 1.812E-05 | global batch size:   256 | lm loss: 3.745307E+00 | grad norm: 1.054 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.912 | TFLOPs: 26.92 |
7:  iteration     8250/   37905 | consumed samples:      2112000 | consumed tokens:   4325376000 | elapsed time per iteration (s): 0.30 | learning rate: 1.812E-05 | global batch size:   256 | lm loss: 3.780503E+00 | grad norm: 0.902 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 848.955 | TFLOPs: 21.63 |
7:  iteration     8260/   37905 | consumed samples:      2114560 | consumed tokens:   4330618880 | elapsed time per iteration (s): 0.25 | learning rate: 1.811E-05 | global batch size:   256 | lm loss: 3.758614E+00 | grad norm: 0.805 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.928 | TFLOPs: 26.54 |
7:  iteration     8270/   37905 | consumed samples:      2117120 | consumed tokens:   4335861760 | elapsed time per iteration (s): 0.25 | learning rate: 1.811E-05 | global batch size:   256 | lm loss: 3.744614E+00 | grad norm: 0.830 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.900 | TFLOPs: 25.93 |
7:  iteration     8280/   37905 | consumed samples:      2119680 | consumed tokens:   4341104640 | elapsed time per iteration (s): 6.22 | learning rate: 1.810E-05 | global batch size:   256 | lm loss: 3.731570E+00 | grad norm: 0.907 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 41.139 | TFLOPs: 1.05 |
7:  iteration     8290/   37905 | consumed samples:      2122240 | consumed tokens:   4346347520 | elapsed time per iteration (s): 0.26 | learning rate: 1.810E-05 | global batch size:   256 | lm loss: 3.792548E+00 | grad norm: 1.270 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.658 | TFLOPs: 25.47 |
7:  iteration     8300/   37905 | consumed samples:      2124800 | consumed tokens:   4351590400 | elapsed time per iteration (s): 0.26 | learning rate: 1.809E-05 | global batch size:   256 | lm loss: 3.761133E+00 | grad norm: 0.895 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.549 | TFLOPs: 25.36 |
7:  iteration     8310/   37905 | consumed samples:      2127360 | consumed tokens:   4356833280 | elapsed time per iteration (s): 0.27 | learning rate: 1.809E-05 | global batch size:   256 | lm loss: 3.728862E+00 | grad norm: 0.968 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.920 | TFLOPs: 24.10 |
7:  iteration     8320/   37905 | consumed samples:      2129920 | consumed tokens:   4362076160 | elapsed time per iteration (s): 0.25 | learning rate: 1.808E-05 | global batch size:   256 | lm loss: 3.788496E+00 | grad norm: 1.049 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.649 | TFLOPs: 25.82 |
7:  iteration     8330/   37905 | consumed samples:      2132480 | consumed tokens:   4367319040 | elapsed time per iteration (s): 0.29 | learning rate: 1.808E-05 | global batch size:   256 | lm loss: 3.767149E+00 | grad norm: 1.138 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.248 | TFLOPs: 22.53 |
7:  iteration     8340/   37905 | consumed samples:      2135040 | consumed tokens:   4372561920 | elapsed time per iteration (s): 0.27 | learning rate: 1.807E-05 | global batch size:   256 | lm loss: 3.774332E+00 | grad norm: 1.213 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.034 | TFLOPs: 24.25 |
7:  iteration     8350/   37905 | consumed samples:      2137600 | consumed tokens:   4377804800 | elapsed time per iteration (s): 0.26 | learning rate: 1.807E-05 | global batch size:   256 | lm loss: 3.740369E+00 | grad norm: 0.897 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.632 | TFLOPs: 25.26 |
7:  iteration     8360/   37905 | consumed samples:      2140160 | consumed tokens:   4383047680 | elapsed time per iteration (s): 0.24 | learning rate: 1.806E-05 | global batch size:   256 | lm loss: 3.752497E+00 | grad norm: 1.089 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.382 | TFLOPs: 26.89 |
7:  iteration     8370/   37905 | consumed samples:      2142720 | consumed tokens:   4388290560 | elapsed time per iteration (s): 0.28 | learning rate: 1.806E-05 | global batch size:   256 | lm loss: 3.689665E+00 | grad norm: 0.921 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 925.074 | TFLOPs: 23.57 |
7:  iteration     8380/   37905 | consumed samples:      2145280 | consumed tokens:   4393533440 | elapsed time per iteration (s): 0.25 | learning rate: 1.806E-05 | global batch size:   256 | lm loss: 3.738719E+00 | grad norm: 0.918 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.629 | TFLOPs: 25.85 |
7:  iteration     8390/   37905 | consumed samples:      2147840 | consumed tokens:   4398776320 | elapsed time per iteration (s): 0.25 | learning rate: 1.805E-05 | global batch size:   256 | lm loss: 3.724995E+00 | grad norm: 1.349 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.730 | TFLOPs: 26.26 |
7:  iteration     8400/   37905 | consumed samples:      2150400 | consumed tokens:   4404019200 | elapsed time per iteration (s): 0.26 | learning rate: 1.805E-05 | global batch size:   256 | lm loss: 3.698894E+00 | grad norm: 1.306 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.688 | TFLOPs: 25.21 |
7:  iteration     8410/   37905 | consumed samples:      2152960 | consumed tokens:   4409262080 | elapsed time per iteration (s): 0.26 | learning rate: 1.804E-05 | global batch size:   256 | lm loss: 3.667645E+00 | grad norm: 0.923 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.333 | TFLOPs: 25.31 |
7:  iteration     8420/   37905 | consumed samples:      2155520 | consumed tokens:   4414504960 | elapsed time per iteration (s): 0.25 | learning rate: 1.804E-05 | global batch size:   256 | lm loss: 3.715529E+00 | grad norm: 0.974 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.194 | TFLOPs: 25.99 |
7:  iteration     8430/   37905 | consumed samples:      2158080 | consumed tokens:   4419747840 | elapsed time per iteration (s): 0.27 | learning rate: 1.803E-05 | global batch size:   256 | lm loss: 3.747289E+00 | grad norm: 0.864 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.854 | TFLOPs: 24.33 |
7:  iteration     8440/   37905 | consumed samples:      2160640 | consumed tokens:   4424990720 | elapsed time per iteration (s): 0.25 | learning rate: 1.803E-05 | global batch size:   256 | lm loss: 3.720483E+00 | grad norm: 0.915 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.434 | TFLOPs: 26.48 |
7:  iteration     8450/   37905 | consumed samples:      2163200 | consumed tokens:   4430233600 | elapsed time per iteration (s): 0.25 | learning rate: 1.802E-05 | global batch size:   256 | lm loss: 3.729024E+00 | grad norm: 0.981 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.213 | TFLOPs: 26.32 |
7:  iteration     8460/   37905 | consumed samples:      2165760 | consumed tokens:   4435476480 | elapsed time per iteration (s): 0.25 | learning rate: 1.802E-05 | global batch size:   256 | lm loss: 3.764537E+00 | grad norm: 1.213 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.180 | TFLOPs: 26.14 |
7:  iteration     8470/   37905 | consumed samples:      2168320 | consumed tokens:   4440719360 | elapsed time per iteration (s): 0.26 | learning rate: 1.801E-05 | global batch size:   256 | lm loss: 3.714785E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.872 | TFLOPs: 25.14 |
7:  iteration     8480/   37905 | consumed samples:      2170880 | consumed tokens:   4445962240 | elapsed time per iteration (s): 0.25 | learning rate: 1.801E-05 | global batch size:   256 | lm loss: 3.712962E+00 | grad norm: 1.050 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.527 | TFLOPs: 26.38 |
7:  iteration     8490/   37905 | consumed samples:      2173440 | consumed tokens:   4451205120 | elapsed time per iteration (s): 0.26 | learning rate: 1.800E-05 | global batch size:   256 | lm loss: 3.746902E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.563 | TFLOPs: 24.88 |
7:  iteration     8500/   37905 | consumed samples:      2176000 | consumed tokens:   4456448000 | elapsed time per iteration (s): 0.24 | learning rate: 1.800E-05 | global batch size:   256 | lm loss: 3.752298E+00 | grad norm: 0.937 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.871 | TFLOPs: 27.23 |
7:  iteration     8510/   37905 | consumed samples:      2178560 | consumed tokens:   4461690880 | elapsed time per iteration (s): 0.25 | learning rate: 1.799E-05 | global batch size:   256 | lm loss: 3.678053E+00 | grad norm: 1.282 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.081 | TFLOPs: 25.68 |
7:  iteration     8520/   37905 | consumed samples:      2181120 | consumed tokens:   4466933760 | elapsed time per iteration (s): 0.27 | learning rate: 1.799E-05 | global batch size:   256 | lm loss: 3.694445E+00 | grad norm: 1.165 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.262 | TFLOPs: 23.85 |
7:  iteration     8530/   37905 | consumed samples:      2183680 | consumed tokens:   4472176640 | elapsed time per iteration (s): 0.27 | learning rate: 1.798E-05 | global batch size:   256 | lm loss: 3.696088E+00 | grad norm: 1.317 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.829 | TFLOPs: 23.92 |
7:  iteration     8540/   37905 | consumed samples:      2186240 | consumed tokens:   4477419520 | elapsed time per iteration (s): 0.24 | learning rate: 1.798E-05 | global batch size:   256 | lm loss: 3.708479E+00 | grad norm: 0.927 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.638 | TFLOPs: 26.87 |
7:  iteration     8550/   37905 | consumed samples:      2188800 | consumed tokens:   4482662400 | elapsed time per iteration (s): 0.23 | learning rate: 1.798E-05 | global batch size:   256 | lm loss: 3.712597E+00 | grad norm: 0.916 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.518 | TFLOPs: 27.76 |
7:  iteration     8560/   37905 | consumed samples:      2191360 | consumed tokens:   4487905280 | elapsed time per iteration (s): 0.28 | learning rate: 1.797E-05 | global batch size:   256 | lm loss: 3.719526E+00 | grad norm: 1.064 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.129 | TFLOPs: 23.26 |
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7:  iteration     8650/   37905 | consumed samples:      2214400 | consumed tokens:   4535091200 | elapsed time per iteration (s): 0.28 | learning rate: 1.793E-05 | global batch size:   256 | lm loss: 3.684760E+00 | grad norm: 0.929 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 904.473 | TFLOPs: 23.04 |
7:  iteration     8660/   37905 | consumed samples:      2216960 | consumed tokens:   4540334080 | elapsed time per iteration (s): 0.26 | learning rate: 1.792E-05 | global batch size:   256 | lm loss: 3.723037E+00 | grad norm: 0.972 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.986 | TFLOPs: 25.45 |
7:  iteration     8670/   37905 | consumed samples:      2219520 | consumed tokens:   4545576960 | elapsed time per iteration (s): 0.25 | learning rate: 1.792E-05 | global batch size:   256 | lm loss: 3.714560E+00 | grad norm: 0.877 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.729 | TFLOPs: 26.33 |
7:  iteration     8680/   37905 | consumed samples:      2222080 | consumed tokens:   4550819840 | elapsed time per iteration (s): 0.27 | learning rate: 1.791E-05 | global batch size:   256 | lm loss: 3.711353E+00 | grad norm: 0.842 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.184 | TFLOPs: 23.90 |
7:  iteration     8690/   37905 | consumed samples:      2224640 | consumed tokens:   4556062720 | elapsed time per iteration (s): 0.24 | learning rate: 1.791E-05 | global batch size:   256 | lm loss: 3.685391E+00 | grad norm: 0.898 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.024 | TFLOPs: 26.70 |
7:  iteration     8700/   37905 | consumed samples:      2227200 | consumed tokens:   4561305600 | elapsed time per iteration (s): 0.24 | learning rate: 1.790E-05 | global batch size:   256 | lm loss: 3.707616E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.143 | TFLOPs: 27.01 |
7:  iteration     8710/   37905 | consumed samples:      2229760 | consumed tokens:   4566548480 | elapsed time per iteration (s): 0.31 | learning rate: 1.790E-05 | global batch size:   256 | lm loss: 3.684727E+00 | grad norm: 0.932 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 821.962 | TFLOPs: 20.94 |
7:  iteration     8720/   37905 | consumed samples:      2232320 | consumed tokens:   4571791360 | elapsed time per iteration (s): 0.23 | learning rate: 1.789E-05 | global batch size:   256 | lm loss: 3.675414E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.734 | TFLOPs: 28.22 |
7:  iteration     8730/   37905 | consumed samples:      2234880 | consumed tokens:   4577034240 | elapsed time per iteration (s): 0.27 | learning rate: 1.789E-05 | global batch size:   256 | lm loss: 3.738145E+00 | grad norm: 0.933 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.050 | TFLOPs: 24.18 |
7:  iteration     8740/   37905 | consumed samples:      2237440 | consumed tokens:   4582277120 | elapsed time per iteration (s): 0.24 | learning rate: 1.788E-05 | global batch size:   256 | lm loss: 3.667537E+00 | grad norm: 1.080 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.315 | TFLOPs: 27.70 |
7:  iteration     8750/   37905 | consumed samples:      2240000 | consumed tokens:   4587520000 | elapsed time per iteration (s): 0.36 | learning rate: 1.788E-05 | global batch size:   256 | lm loss: 3.727473E+00 | grad norm: 1.207 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 710.459 | TFLOPs: 18.10 |
7:  iteration     8760/   37905 | consumed samples:      2242560 | consumed tokens:   4592762880 | elapsed time per iteration (s): 0.23 | learning rate: 1.787E-05 | global batch size:   256 | lm loss: 3.721928E+00 | grad norm: 0.830 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.524 | TFLOPs: 27.86 |
7:  iteration     8770/   37905 | consumed samples:      2245120 | consumed tokens:   4598005760 | elapsed time per iteration (s): 0.28 | learning rate: 1.787E-05 | global batch size:   256 | lm loss: 3.680599E+00 | grad norm: 0.984 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.038 | TFLOPs: 23.06 |
7:  iteration     8780/   37905 | consumed samples:      2247680 | consumed tokens:   4603248640 | elapsed time per iteration (s): 0.23 | learning rate: 1.786E-05 | global batch size:   256 | lm loss: 3.695726E+00 | grad norm: 0.971 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.112 | TFLOPs: 27.97 |
7:  iteration     8790/   37905 | consumed samples:      2250240 | consumed tokens:   4608491520 | elapsed time per iteration (s): 0.24 | learning rate: 1.786E-05 | global batch size:   256 | lm loss: 3.689204E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.350 | TFLOPs: 26.99 |
7:  iteration     8800/   37905 | consumed samples:      2252800 | consumed tokens:   4613734400 | elapsed time per iteration (s): 0.26 | learning rate: 1.785E-05 | global batch size:   256 | lm loss: 3.708738E+00 | grad norm: 0.936 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.363 | TFLOPs: 25.15 |
7:  iteration     8810/   37905 | consumed samples:      2255360 | consumed tokens:   4618977280 | elapsed time per iteration (s): 0.23 | learning rate: 1.785E-05 | global batch size:   256 | lm loss: 3.682408E+00 | grad norm: 0.804 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.233 | TFLOPs: 28.64 |
7:  iteration     8820/   37905 | consumed samples:      2257920 | consumed tokens:   4624220160 | elapsed time per iteration (s): 0.25 | learning rate: 1.784E-05 | global batch size:   256 | lm loss: 3.707117E+00 | grad norm: 0.963 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.581 | TFLOPs: 25.77 |
7:  iteration     8830/   37905 | consumed samples:      2260480 | consumed tokens:   4629463040 | elapsed time per iteration (s): 0.25 | learning rate: 1.784E-05 | global batch size:   256 | lm loss: 3.707199E+00 | grad norm: 0.927 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.616 | TFLOPs: 25.72 |
7:  iteration     8840/   37905 | consumed samples:      2263040 | consumed tokens:   4634705920 | elapsed time per iteration (s): 0.25 | learning rate: 1.784E-05 | global batch size:   256 | lm loss: 3.719749E+00 | grad norm: 0.906 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.884 | TFLOPs: 26.59 |
7:  iteration     8850/   37905 | consumed samples:      2265600 | consumed tokens:   4639948800 | elapsed time per iteration (s): 0.25 | learning rate: 1.783E-05 | global batch size:   256 | lm loss: 3.695962E+00 | grad norm: 0.984 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.728 | TFLOPs: 25.80 |
7:  iteration     8860/   37905 | consumed samples:      2268160 | consumed tokens:   4645191680 | elapsed time per iteration (s): 0.27 | learning rate: 1.783E-05 | global batch size:   256 | lm loss: 3.712056E+00 | grad norm: 0.918 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 943.435 | TFLOPs: 24.03 |
7:  iteration     8870/   37905 | consumed samples:      2270720 | consumed tokens:   4650434560 | elapsed time per iteration (s): 0.24 | learning rate: 1.782E-05 | global batch size:   256 | lm loss: 3.678983E+00 | grad norm: 0.911 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.153 | TFLOPs: 26.83 |
7:  iteration     8880/   37905 | consumed samples:      2273280 | consumed tokens:   4655677440 | elapsed time per iteration (s): 0.27 | learning rate: 1.782E-05 | global batch size:   256 | lm loss: 3.712924E+00 | grad norm: 0.952 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.558 | TFLOPs: 24.42 |
7:  iteration     8890/   37905 | consumed samples:      2275840 | consumed tokens:   4660920320 | elapsed time per iteration (s): 0.26 | learning rate: 1.781E-05 | global batch size:   256 | lm loss: 3.664527E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.957 | TFLOPs: 25.47 |
7:  iteration     8900/   37905 | consumed samples:      2278400 | consumed tokens:   4666163200 | elapsed time per iteration (s): 0.24 | learning rate: 1.781E-05 | global batch size:   256 | lm loss: 3.713167E+00 | grad norm: 1.163 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.987 | TFLOPs: 26.65 |
7:  iteration     8910/   37905 | consumed samples:      2280960 | consumed tokens:   4671406080 | elapsed time per iteration (s): 0.27 | learning rate: 1.780E-05 | global batch size:   256 | lm loss: 3.697972E+00 | grad norm: 0.794 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.072 | TFLOPs: 23.95 |
7:  iteration     8920/   37905 | consumed samples:      2283520 | consumed tokens:   4676648960 | elapsed time per iteration (s): 0.24 | learning rate: 1.780E-05 | global batch size:   256 | lm loss: 3.667416E+00 | grad norm: 0.947 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.657 | TFLOPs: 27.07 |
7:  iteration     8930/   37905 | consumed samples:      2286080 | consumed tokens:   4681891840 | elapsed time per iteration (s): 0.25 | learning rate: 1.779E-05 | global batch size:   256 | lm loss: 3.672901E+00 | grad norm: 0.894 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.907 | TFLOPs: 25.91 |
7:  iteration     8940/   37905 | consumed samples:      2288640 | consumed tokens:   4687134720 | elapsed time per iteration (s): 0.27 | learning rate: 1.779E-05 | global batch size:   256 | lm loss: 3.692015E+00 | grad norm: 0.834 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.768 | TFLOPs: 24.45 |
7:  iteration     8950/   37905 | consumed samples:      2291200 | consumed tokens:   4692377600 | elapsed time per iteration (s): 0.28 | learning rate: 1.778E-05 | global batch size:   256 | lm loss: 3.691402E+00 | grad norm: 0.922 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.740 | TFLOPs: 23.63 |
7:  iteration     8960/   37905 | consumed samples:      2293760 | consumed tokens:   4697620480 | elapsed time per iteration (s): 0.23 | learning rate: 1.778E-05 | global batch size:   256 | lm loss: 3.687887E+00 | grad norm: 0.908 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.377 | TFLOPs: 27.85 |
7:  iteration     8970/   37905 | consumed samples:      2296320 | consumed tokens:   4702863360 | elapsed time per iteration (s): 0.29 | learning rate: 1.777E-05 | global batch size:   256 | lm loss: 3.698334E+00 | grad norm: 0.989 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.624 | TFLOPs: 22.33 |
7:  iteration     8980/   37905 | consumed samples:      2298880 | consumed tokens:   4708106240 | elapsed time per iteration (s): 0.23 | learning rate: 1.777E-05 | global batch size:   256 | lm loss: 3.675102E+00 | grad norm: 1.246 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.094 | TFLOPs: 27.87 |
7:  iteration     8990/   37905 | consumed samples:      2301440 | consumed tokens:   4713349120 | elapsed time per iteration (s): 0.28 | learning rate: 1.776E-05 | global batch size:   256 | lm loss: 3.666394E+00 | grad norm: 0.840 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.598 | TFLOPs: 23.02 |
7:  iteration     9000/   37905 | consumed samples:      2304000 | consumed tokens:   4718592000 | elapsed time per iteration (s): 0.25 | learning rate: 1.776E-05 | global batch size:   256 | lm loss: 3.678972E+00 | grad norm: 0.891 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.497 | TFLOPs: 26.23 |
7: ------------------------------------------------------------------------------------------
7: valid loss at iteration 9000 | lm loss value: 3.434590E+00 | lm loss PPL: 3.101868E+01 | 
7: ------------------------------------------------------------------------------------------
0: saving checkpoint at iteration    9000 to checkpoints_83slr
0: [2022-11-28 15:51:37,464] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save!
0: [2022-11-28 15:51:37,467] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:51:37,538] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:51:37,539] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_03-model_00-model_states.pt...
0: [2022-11-28 15:51:37,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_03-model_00-model_states.pt.
0: [2022-11-28 15:51:37,550] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_04-model_00-model_states.pt...
0: [2022-11-28 15:51:37,562] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_04-model_00-model_states.pt.
0: [2022-11-28 15:51:37,562] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_05-model_00-model_states.pt...
0: [2022-11-28 15:51:37,573] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_05-model_00-model_states.pt.
0: [2022-11-28 15:51:37,573] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_06-model_00-model_states.pt...
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0: [2022-11-28 15:51:37,596] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_07-model_00-model_states.pt.
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0: [2022-11-28 15:51:37,618] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_10-model_00-model_states.pt...
0: [2022-11-28 15:51:37,629] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_10-model_00-model_states.pt.
0: [2022-11-28 15:51:37,629] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_11-model_00-model_states.pt...
0: [2022-11-28 15:51:37,640] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_11-model_00-model_states.pt.
0: [2022-11-28 15:51:37,641] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_12-model_00-model_states.pt...
0: [2022-11-28 15:51:37,652] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/layer_12-model_00-model_states.pt.
0: [2022-11-28 15:51:37,652] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 15:51:37,654] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step9000/mp_rank_00_model_states.pt
0: [2022-11-28 15:51:37,654] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/mp_rank_00_model_states.pt...
0: [2022-11-28 15:51:37,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/mp_rank_00_model_states.pt.
0: [2022-11-28 15:51:37,674] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:51:37,674] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:51:37,674] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:51:37,674] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 15:51:37,674] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step9000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
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7: [2022-11-28 15:51:37,702] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:51:37,702] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
7: [2022-11-28 15:51:37,702] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
6: [2022-11-28 15:51:37,702] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:51:37,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt
0: [2022-11-28 15:51:37,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt
6: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
0: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
6: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:51:37,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt
6: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
5: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt.
5: [2022-11-28 15:51:37,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
3: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
5: [2022-11-28 15:51:37,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
3: [2022-11-28 15:51:37,704] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
3: [2022-11-28 15:51:37,704] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
1: [2022-11-28 15:51:37,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt.
1: [2022-11-28 15:51:37,704] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
1: [2022-11-28 15:51:37,704] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
4: [2022-11-28 15:51:37,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:51:37,704] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
4: [2022-11-28 15:51:37,704] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
4: [2022-11-28 15:51:37,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:51:37,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step9000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 15:51:37,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now!
0:   successfully saved checkpoint at iteration    9000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 245.58
7:  iteration     9010/   37905 | consumed samples:      2306560 | consumed tokens:   4723834880 | elapsed time per iteration (s): 0.31 | learning rate: 1.775E-05 | global batch size:   256 | lm loss: 3.707055E+00 | grad norm: 0.850 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 817.511 | TFLOPs: 20.83 |
7:  iteration     9020/   37905 | consumed samples:      2309120 | consumed tokens:   4729077760 | elapsed time per iteration (s): 0.26 | learning rate: 1.775E-05 | global batch size:   256 | lm loss: 3.677854E+00 | grad norm: 0.787 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.756 | TFLOPs: 24.91 |
7:  iteration     9030/   37905 | consumed samples:      2311680 | consumed tokens:   4734320640 | elapsed time per iteration (s): 0.27 | learning rate: 1.774E-05 | global batch size:   256 | lm loss: 3.715319E+00 | grad norm: 0.981 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.641 | TFLOPs: 24.01 |
7:  iteration     9040/   37905 | consumed samples:      2314240 | consumed tokens:   4739563520 | elapsed time per iteration (s): 0.24 | learning rate: 1.774E-05 | global batch size:   256 | lm loss: 3.702349E+00 | grad norm: 1.052 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.282 | TFLOPs: 27.32 |
7:  iteration     9050/   37905 | consumed samples:      2316800 | consumed tokens:   4744806400 | elapsed time per iteration (s): 0.27 | learning rate: 1.773E-05 | global batch size:   256 | lm loss: 3.727173E+00 | grad norm: 0.955 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.494 | TFLOPs: 23.86 |
7:  iteration     9060/   37905 | consumed samples:      2319360 | consumed tokens:   4750049280 | elapsed time per iteration (s): 0.25 | learning rate: 1.773E-05 | global batch size:   256 | lm loss: 3.714042E+00 | grad norm: 0.860 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.402 | TFLOPs: 25.92 |
7:  iteration     9070/   37905 | consumed samples:      2321920 | consumed tokens:   4755292160 | elapsed time per iteration (s): 0.27 | learning rate: 1.772E-05 | global batch size:   256 | lm loss: 3.684107E+00 | grad norm: 0.920 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.798 | TFLOPs: 24.43 |
7:  iteration     9080/   37905 | consumed samples:      2324480 | consumed tokens:   4760535040 | elapsed time per iteration (s): 0.25 | learning rate: 1.772E-05 | global batch size:   256 | lm loss: 3.727311E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.612 | TFLOPs: 26.15 |
7:  iteration     9090/   37905 | consumed samples:      2327040 | consumed tokens:   4765777920 | elapsed time per iteration (s): 0.24 | learning rate: 1.771E-05 | global batch size:   256 | lm loss: 3.666195E+00 | grad norm: 0.917 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.494 | TFLOPs: 26.81 |
7:  iteration     9100/   37905 | consumed samples:      2329600 | consumed tokens:   4771020800 | elapsed time per iteration (s): 0.25 | learning rate: 1.771E-05 | global batch size:   256 | lm loss: 3.708410E+00 | grad norm: 0.868 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.333 | TFLOPs: 25.66 |
7:  iteration     9110/   37905 | consumed samples:      2332160 | consumed tokens:   4776263680 | elapsed time per iteration (s): 0.23 | learning rate: 1.770E-05 | global batch size:   256 | lm loss: 3.656100E+00 | grad norm: 0.920 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.968 | TFLOPs: 28.23 |
7:  iteration     9120/   37905 | consumed samples:      2334720 | consumed tokens:   4781506560 | elapsed time per iteration (s): 0.28 | learning rate: 1.770E-05 | global batch size:   256 | lm loss: 3.702384E+00 | grad norm: 0.979 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 902.432 | TFLOPs: 22.99 |
7:  iteration     9130/   37905 | consumed samples:      2337280 | consumed tokens:   4786749440 | elapsed time per iteration (s): 0.28 | learning rate: 1.769E-05 | global batch size:   256 | lm loss: 3.692602E+00 | grad norm: 1.159 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.739 | TFLOPs: 23.61 |
7:  iteration     9140/   37905 | consumed samples:      2339840 | consumed tokens:   4791992320 | elapsed time per iteration (s): 0.27 | learning rate: 1.769E-05 | global batch size:   256 | lm loss: 3.669215E+00 | grad norm: 0.990 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.488 | TFLOPs: 24.37 |
7:  iteration     9150/   37905 | consumed samples:      2342400 | consumed tokens:   4797235200 | elapsed time per iteration (s): 0.24 | learning rate: 1.768E-05 | global batch size:   256 | lm loss: 3.689536E+00 | grad norm: 0.896 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.561 | TFLOPs: 26.89 |
7:  iteration     9160/   37905 | consumed samples:      2344960 | consumed tokens:   4802478080 | elapsed time per iteration (s): 0.27 | learning rate: 1.768E-05 | global batch size:   256 | lm loss: 3.699843E+00 | grad norm: 1.003 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.033 | TFLOPs: 23.95 |
7:  iteration     9170/   37905 | consumed samples:      2347520 | consumed tokens:   4807720960 | elapsed time per iteration (s): 0.23 | learning rate: 1.767E-05 | global batch size:   256 | lm loss: 3.744069E+00 | grad norm: 0.760 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.868 | TFLOPs: 28.02 |
7:  iteration     9180/   37905 | consumed samples:      2350080 | consumed tokens:   4812963840 | elapsed time per iteration (s): 0.25 | learning rate: 1.767E-05 | global batch size:   256 | lm loss: 3.690264E+00 | grad norm: 0.893 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.823 | TFLOPs: 25.70 |
7:  iteration     9190/   37905 | consumed samples:      2352640 | consumed tokens:   4818206720 | elapsed time per iteration (s): 0.25 | learning rate: 1.766E-05 | global batch size:   256 | lm loss: 3.696620E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.327 | TFLOPs: 25.76 |
7:  iteration     9200/   37905 | consumed samples:      2355200 | consumed tokens:   4823449600 | elapsed time per iteration (s): 0.26 | learning rate: 1.766E-05 | global batch size:   256 | lm loss: 3.668222E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.254 | TFLOPs: 25.30 |
7:  iteration     9210/   37905 | consumed samples:      2357760 | consumed tokens:   4828692480 | elapsed time per iteration (s): 0.24 | learning rate: 1.765E-05 | global batch size:   256 | lm loss: 3.667928E+00 | grad norm: 1.083 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.756 | TFLOPs: 26.79 |
7:  iteration     9220/   37905 | consumed samples:      2360320 | consumed tokens:   4833935360 | elapsed time per iteration (s): 0.29 | learning rate: 1.765E-05 | global batch size:   256 | lm loss: 3.623676E+00 | grad norm: 0.871 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 887.393 | TFLOPs: 22.61 |
7:  iteration     9230/   37905 | consumed samples:      2362880 | consumed tokens:   4839178240 | elapsed time per iteration (s): 0.26 | learning rate: 1.764E-05 | global batch size:   256 | lm loss: 3.700313E+00 | grad norm: 0.956 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.537 | TFLOPs: 24.90 |
7:  iteration     9240/   37905 | consumed samples:      2365440 | consumed tokens:   4844421120 | elapsed time per iteration (s): 0.27 | learning rate: 1.764E-05 | global batch size:   256 | lm loss: 3.673638E+00 | grad norm: 0.904 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.765 | TFLOPs: 24.53 |
7:  iteration     9250/   37905 | consumed samples:      2368000 | consumed tokens:   4849664000 | elapsed time per iteration (s): 0.26 | learning rate: 1.763E-05 | global batch size:   256 | lm loss: 3.680193E+00 | grad norm: 0.851 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.984 | TFLOPs: 25.32 |
7:  iteration     9260/   37905 | consumed samples:      2370560 | consumed tokens:   4854906880 | elapsed time per iteration (s): 0.26 | learning rate: 1.762E-05 | global batch size:   256 | lm loss: 3.716420E+00 | grad norm: 0.853 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.416 | TFLOPs: 25.54 |
7:  iteration     9270/   37905 | consumed samples:      2373120 | consumed tokens:   4860149760 | elapsed time per iteration (s): 0.28 | learning rate: 1.762E-05 | global batch size:   256 | lm loss: 3.696145E+00 | grad norm: 0.799 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.666 | TFLOPs: 23.68 |
7:  iteration     9280/   37905 | consumed samples:      2375680 | consumed tokens:   4865392640 | elapsed time per iteration (s): 0.25 | learning rate: 1.761E-05 | global batch size:   256 | lm loss: 3.703575E+00 | grad norm: 0.947 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.224 | TFLOPs: 25.94 |
7:  iteration     9290/   37905 | consumed samples:      2378240 | consumed tokens:   4870635520 | elapsed time per iteration (s): 0.25 | learning rate: 1.761E-05 | global batch size:   256 | lm loss: 3.688944E+00 | grad norm: 1.076 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.649 | TFLOPs: 26.49 |
7:  iteration     9300/   37905 | consumed samples:      2380800 | consumed tokens:   4875878400 | elapsed time per iteration (s): 0.27 | learning rate: 1.760E-05 | global batch size:   256 | lm loss: 3.655388E+00 | grad norm: 0.908 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.025 | TFLOPs: 24.51 |
7:  iteration     9310/   37905 | consumed samples:      2383360 | consumed tokens:   4881121280 | elapsed time per iteration (s): 0.25 | learning rate: 1.760E-05 | global batch size:   256 | lm loss: 3.689976E+00 | grad norm: 0.847 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.752 | TFLOPs: 26.33 |
7:  iteration     9320/   37905 | consumed samples:      2385920 | consumed tokens:   4886364160 | elapsed time per iteration (s): 0.27 | learning rate: 1.759E-05 | global batch size:   256 | lm loss: 3.684193E+00 | grad norm: 0.850 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.002 | TFLOPs: 24.41 |
7:  iteration     9330/   37905 | consumed samples:      2388480 | consumed tokens:   4891607040 | elapsed time per iteration (s): 0.27 | learning rate: 1.759E-05 | global batch size:   256 | lm loss: 3.716409E+00 | grad norm: 0.939 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 948.756 | TFLOPs: 24.17 |
7:  iteration     9340/   37905 | consumed samples:      2391040 | consumed tokens:   4896849920 | elapsed time per iteration (s): 0.25 | learning rate: 1.758E-05 | global batch size:   256 | lm loss: 3.689301E+00 | grad norm: 1.153 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.855 | TFLOPs: 25.85 |
7:  iteration     9350/   37905 | consumed samples:      2393600 | consumed tokens:   4902092800 | elapsed time per iteration (s): 0.28 | learning rate: 1.758E-05 | global batch size:   256 | lm loss: 3.691198E+00 | grad norm: 1.791 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.301 | TFLOPs: 23.62 |
7:  iteration     9360/   37905 | consumed samples:      2396160 | consumed tokens:   4907335680 | elapsed time per iteration (s): 0.26 | learning rate: 1.757E-05 | global batch size:   256 | lm loss: 3.642493E+00 | grad norm: 0.861 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.429 | TFLOPs: 25.13 |
7:  iteration     9370/   37905 | consumed samples:      2398720 | consumed tokens:   4912578560 | elapsed time per iteration (s): 0.25 | learning rate: 1.757E-05 | global batch size:   256 | lm loss: 3.684065E+00 | grad norm: 0.868 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.923 | TFLOPs: 26.06 |
7:  iteration     9380/   37905 | consumed samples:      2401280 | consumed tokens:   4917821440 | elapsed time per iteration (s): 0.29 | learning rate: 1.756E-05 | global batch size:   256 | lm loss: 3.686738E+00 | grad norm: 1.319 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 895.494 | TFLOPs: 22.81 |
7:  iteration     9390/   37905 | consumed samples:      2403840 | consumed tokens:   4923064320 | elapsed time per iteration (s): 0.24 | learning rate: 1.756E-05 | global batch size:   256 | lm loss: 3.660115E+00 | grad norm: 0.974 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.975 | TFLOPs: 26.80 |
7:  iteration     9400/   37905 | consumed samples:      2406400 | consumed tokens:   4928307200 | elapsed time per iteration (s): 0.27 | learning rate: 1.755E-05 | global batch size:   256 | lm loss: 3.695676E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.939 | TFLOPs: 24.23 |
7:  iteration     9410/   37905 | consumed samples:      2408960 | consumed tokens:   4933550080 | elapsed time per iteration (s): 0.25 | learning rate: 1.755E-05 | global batch size:   256 | lm loss: 3.620042E+00 | grad norm: 0.794 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.617 | TFLOPs: 26.00 |
7:  iteration     9420/   37905 | consumed samples:      2411520 | consumed tokens:   4938792960 | elapsed time per iteration (s): 0.27 | learning rate: 1.754E-05 | global batch size:   256 | lm loss: 3.693710E+00 | grad norm: 1.074 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.545 | TFLOPs: 24.09 |
7:  iteration     9430/   37905 | consumed samples:      2414080 | consumed tokens:   4944035840 | elapsed time per iteration (s): 0.24 | learning rate: 1.754E-05 | global batch size:   256 | lm loss: 3.662740E+00 | grad norm: 1.051 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.690 | TFLOPs: 26.72 |
7:  iteration     9440/   37905 | consumed samples:      2416640 | consumed tokens:   4949278720 | elapsed time per iteration (s): 0.27 | learning rate: 1.753E-05 | global batch size:   256 | lm loss: 3.685373E+00 | grad norm: 1.083 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.668 | TFLOPs: 23.73 |
7:  iteration     9450/   37905 | consumed samples:      2419200 | consumed tokens:   4954521600 | elapsed time per iteration (s): 0.25 | learning rate: 1.753E-05 | global batch size:   256 | lm loss: 3.729577E+00 | grad norm: 0.924 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.172 | TFLOPs: 26.07 |
7:  iteration     9460/   37905 | consumed samples:      2421760 | consumed tokens:   4959764480 | elapsed time per iteration (s): 0.28 | learning rate: 1.752E-05 | global batch size:   256 | lm loss: 3.699754E+00 | grad norm: 0.798 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.545 | TFLOPs: 23.60 |
7:  iteration     9470/   37905 | consumed samples:      2424320 | consumed tokens:   4965007360 | elapsed time per iteration (s): 0.25 | learning rate: 1.752E-05 | global batch size:   256 | lm loss: 3.703666E+00 | grad norm: 0.828 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.100 | TFLOPs: 26.45 |
7:  iteration     9480/   37905 | consumed samples:      2426880 | consumed tokens:   4970250240 | elapsed time per iteration (s): 0.25 | learning rate: 1.751E-05 | global batch size:   256 | lm loss: 3.632059E+00 | grad norm: 0.933 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.459 | TFLOPs: 25.61 |
7:  iteration     9490/   37905 | consumed samples:      2429440 | consumed tokens:   4975493120 | elapsed time per iteration (s): 0.27 | learning rate: 1.751E-05 | global batch size:   256 | lm loss: 3.633737E+00 | grad norm: 1.050 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.274 | TFLOPs: 24.26 |
7:  iteration     9500/   37905 | consumed samples:      2432000 | consumed tokens:   4980736000 | elapsed time per iteration (s): 0.26 | learning rate: 1.750E-05 | global batch size:   256 | lm loss: 3.675016E+00 | grad norm: 0.822 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.440 | TFLOPs: 25.54 |
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7:  iteration     9520/   37905 | consumed samples:      2437120 | consumed tokens:   4991221760 | elapsed time per iteration (s): 0.25 | learning rate: 1.749E-05 | global batch size:   256 | lm loss: 3.652187E+00 | grad norm: 0.882 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.099 | TFLOPs: 25.83 |
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7:  iteration     9540/   37905 | consumed samples:      2442240 | consumed tokens:   5001707520 | elapsed time per iteration (s): 0.24 | learning rate: 1.748E-05 | global batch size:   256 | lm loss: 3.700314E+00 | grad norm: 0.895 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.007 | TFLOPs: 26.65 |
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7:  iteration     9590/   37905 | consumed samples:      2455040 | consumed tokens:   5027921920 | elapsed time per iteration (s): 0.27 | learning rate: 1.745E-05 | global batch size:   256 | lm loss: 3.639016E+00 | grad norm: 1.060 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.402 | TFLOPs: 24.44 |
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7:  iteration     9620/   37905 | consumed samples:      2462720 | consumed tokens:   5043650560 | elapsed time per iteration (s): 0.25 | learning rate: 1.744E-05 | global batch size:   256 | lm loss: 3.726539E+00 | grad norm: 0.806 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.034 | TFLOPs: 26.44 |
7:  iteration     9630/   37905 | consumed samples:      2465280 | consumed tokens:   5048893440 | elapsed time per iteration (s): 0.27 | learning rate: 1.743E-05 | global batch size:   256 | lm loss: 3.681403E+00 | grad norm: 1.030 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.357 | TFLOPs: 24.29 |
7:  iteration     9640/   37905 | consumed samples:      2467840 | consumed tokens:   5054136320 | elapsed time per iteration (s): 0.25 | learning rate: 1.743E-05 | global batch size:   256 | lm loss: 3.635750E+00 | grad norm: 0.733 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.217 | TFLOPs: 25.86 |
7:  iteration     9650/   37905 | consumed samples:      2470400 | consumed tokens:   5059379200 | elapsed time per iteration (s): 0.24 | learning rate: 1.742E-05 | global batch size:   256 | lm loss: 3.678858E+00 | grad norm: 0.929 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.788 | TFLOPs: 27.15 |
7:  iteration     9660/   37905 | consumed samples:      2472960 | consumed tokens:   5064622080 | elapsed time per iteration (s): 0.26 | learning rate: 1.742E-05 | global batch size:   256 | lm loss: 3.674681E+00 | grad norm: 0.762 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.879 | TFLOPs: 24.99 |
7:  iteration     9670/   37905 | consumed samples:      2475520 | consumed tokens:   5069864960 | elapsed time per iteration (s): 0.25 | learning rate: 1.741E-05 | global batch size:   256 | lm loss: 3.639374E+00 | grad norm: 0.896 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.301 | TFLOPs: 25.92 |
7:  iteration     9680/   37905 | consumed samples:      2478080 | consumed tokens:   5075107840 | elapsed time per iteration (s): 0.27 | learning rate: 1.741E-05 | global batch size:   256 | lm loss: 3.653947E+00 | grad norm: 0.784 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.061 | TFLOPs: 24.38 |
7:  iteration     9690/   37905 | consumed samples:      2480640 | consumed tokens:   5080350720 | elapsed time per iteration (s): 0.24 | learning rate: 1.740E-05 | global batch size:   256 | lm loss: 3.643043E+00 | grad norm: 0.866 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.343 | TFLOPs: 26.94 |
7:  iteration     9700/   37905 | consumed samples:      2483200 | consumed tokens:   5085593600 | elapsed time per iteration (s): 0.26 | learning rate: 1.740E-05 | global batch size:   256 | lm loss: 3.660312E+00 | grad norm: 1.017 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.689 | TFLOPs: 25.31 |
7:  iteration     9710/   37905 | consumed samples:      2485760 | consumed tokens:   5090836480 | elapsed time per iteration (s): 0.24 | learning rate: 1.739E-05 | global batch size:   256 | lm loss: 3.652775E+00 | grad norm: 0.980 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.734 | TFLOPs: 27.30 |
7:  iteration     9720/   37905 | consumed samples:      2488320 | consumed tokens:   5096079360 | elapsed time per iteration (s): 0.25 | learning rate: 1.739E-05 | global batch size:   256 | lm loss: 3.651231E+00 | grad norm: 0.844 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.700 | TFLOPs: 26.28 |
7:  iteration     9730/   37905 | consumed samples:      2490880 | consumed tokens:   5101322240 | elapsed time per iteration (s): 0.29 | learning rate: 1.738E-05 | global batch size:   256 | lm loss: 3.715250E+00 | grad norm: 0.782 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 888.081 | TFLOPs: 22.62 |
7:  iteration     9740/   37905 | consumed samples:      2493440 | consumed tokens:   5106565120 | elapsed time per iteration (s): 0.26 | learning rate: 1.737E-05 | global batch size:   256 | lm loss: 3.667644E+00 | grad norm: 0.826 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.873 | TFLOPs: 25.52 |
7:  iteration     9750/   37905 | consumed samples:      2496000 | consumed tokens:   5111808000 | elapsed time per iteration (s): 0.28 | learning rate: 1.737E-05 | global batch size:   256 | lm loss: 3.646010E+00 | grad norm: 0.820 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.618 | TFLOPs: 23.43 |
7:  iteration     9760/   37905 | consumed samples:      2498560 | consumed tokens:   5117050880 | elapsed time per iteration (s): 0.25 | learning rate: 1.736E-05 | global batch size:   256 | lm loss: 3.645391E+00 | grad norm: 0.875 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.926 | TFLOPs: 25.75 |
7:  iteration     9770/   37905 | consumed samples:      2501120 | consumed tokens:   5122293760 | elapsed time per iteration (s): 0.24 | learning rate: 1.736E-05 | global batch size:   256 | lm loss: 3.657065E+00 | grad norm: 0.897 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.327 | TFLOPs: 27.39 |
7:  iteration     9780/   37905 | consumed samples:      2503680 | consumed tokens:   5127536640 | elapsed time per iteration (s): 0.27 | learning rate: 1.735E-05 | global batch size:   256 | lm loss: 3.690654E+00 | grad norm: 0.670 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 948.217 | TFLOPs: 24.16 |
7:  iteration     9790/   37905 | consumed samples:      2506240 | consumed tokens:   5132779520 | elapsed time per iteration (s): 0.25 | learning rate: 1.735E-05 | global batch size:   256 | lm loss: 3.635252E+00 | grad norm: 0.847 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.188 | TFLOPs: 26.07 |
7:  iteration     9800/   37905 | consumed samples:      2508800 | consumed tokens:   5138022400 | elapsed time per iteration (s): 0.26 | learning rate: 1.734E-05 | global batch size:   256 | lm loss: 3.672292E+00 | grad norm: 1.115 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.506 | TFLOPs: 24.83 |
7:  iteration     9810/   37905 | consumed samples:      2511360 | consumed tokens:   5143265280 | elapsed time per iteration (s): 0.26 | learning rate: 1.734E-05 | global batch size:   256 | lm loss: 3.666267E+00 | grad norm: 0.906 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.319 | TFLOPs: 25.56 |
7:  iteration     9820/   37905 | consumed samples:      2513920 | consumed tokens:   5148508160 | elapsed time per iteration (s): 0.27 | learning rate: 1.733E-05 | global batch size:   256 | lm loss: 3.633352E+00 | grad norm: 0.776 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.487 | TFLOPs: 24.60 |
7:  iteration     9830/   37905 | consumed samples:      2516480 | consumed tokens:   5153751040 | elapsed time per iteration (s): 0.26 | learning rate: 1.733E-05 | global batch size:   256 | lm loss: 3.664950E+00 | grad norm: 0.752 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.441 | TFLOPs: 25.10 |
7:  iteration     9840/   37905 | consumed samples:      2519040 | consumed tokens:   5158993920 | elapsed time per iteration (s): 0.24 | learning rate: 1.732E-05 | global batch size:   256 | lm loss: 3.612806E+00 | grad norm: 0.809 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.372 | TFLOPs: 26.94 |
7:  iteration     9850/   37905 | consumed samples:      2521600 | consumed tokens:   5164236800 | elapsed time per iteration (s): 0.26 | learning rate: 1.732E-05 | global batch size:   256 | lm loss: 3.669062E+00 | grad norm: 0.825 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.920 | TFLOPs: 24.73 |
7:  iteration     9860/   37905 | consumed samples:      2524160 | consumed tokens:   5169479680 | elapsed time per iteration (s): 0.28 | learning rate: 1.731E-05 | global batch size:   256 | lm loss: 3.690710E+00 | grad norm: 0.803 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.150 | TFLOPs: 23.67 |
7:  iteration     9870/   37905 | consumed samples:      2526720 | consumed tokens:   5174722560 | elapsed time per iteration (s): 0.25 | learning rate: 1.731E-05 | global batch size:   256 | lm loss: 3.613328E+00 | grad norm: 0.977 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.434 | TFLOPs: 26.33 |
7:  iteration     9880/   37905 | consumed samples:      2529280 | consumed tokens:   5179965440 | elapsed time per iteration (s): 0.25 | learning rate: 1.730E-05 | global batch size:   256 | lm loss: 3.649042E+00 | grad norm: 0.979 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.921 | TFLOPs: 25.91 |
7:  iteration     9890/   37905 | consumed samples:      2531840 | consumed tokens:   5185208320 | elapsed time per iteration (s): 0.26 | learning rate: 1.729E-05 | global batch size:   256 | lm loss: 3.693069E+00 | grad norm: 0.990 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.917 | TFLOPs: 25.09 |
7:  iteration     9900/   37905 | consumed samples:      2534400 | consumed tokens:   5190451200 | elapsed time per iteration (s): 0.27 | learning rate: 1.729E-05 | global batch size:   256 | lm loss: 3.691246E+00 | grad norm: 0.759 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.258 | TFLOPs: 24.56 |
7:  iteration     9910/   37905 | consumed samples:      2536960 | consumed tokens:   5195694080 | elapsed time per iteration (s): 0.26 | learning rate: 1.728E-05 | global batch size:   256 | lm loss: 3.659409E+00 | grad norm: 0.781 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.268 | TFLOPs: 25.41 |
7:  iteration     9920/   37905 | consumed samples:      2539520 | consumed tokens:   5200936960 | elapsed time per iteration (s): 0.26 | learning rate: 1.728E-05 | global batch size:   256 | lm loss: 3.692484E+00 | grad norm: 0.981 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.696 | TFLOPs: 25.49 |
7:  iteration     9930/   37905 | consumed samples:      2542080 | consumed tokens:   5206179840 | elapsed time per iteration (s): 0.27 | learning rate: 1.727E-05 | global batch size:   256 | lm loss: 3.669379E+00 | grad norm: 0.997 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.890 | TFLOPs: 24.61 |
7:  iteration     9940/   37905 | consumed samples:      2544640 | consumed tokens:   5211422720 | elapsed time per iteration (s): 0.26 | learning rate: 1.727E-05 | global batch size:   256 | lm loss: 3.626008E+00 | grad norm: 0.885 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.054 | TFLOPs: 24.66 |
7:  iteration     9950/   37905 | consumed samples:      2547200 | consumed tokens:   5216665600 | elapsed time per iteration (s): 0.25 | learning rate: 1.726E-05 | global batch size:   256 | lm loss: 3.617086E+00 | grad norm: 0.990 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.978 | TFLOPs: 26.16 |
7:  iteration     9960/   37905 | consumed samples:      2549760 | consumed tokens:   5221908480 | elapsed time per iteration (s): 0.23 | learning rate: 1.726E-05 | global batch size:   256 | lm loss: 3.673709E+00 | grad norm: 1.385 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.085 | TFLOPs: 28.13 |
7:  iteration     9970/   37905 | consumed samples:      2552320 | consumed tokens:   5227151360 | elapsed time per iteration (s): 0.27 | learning rate: 1.725E-05 | global batch size:   256 | lm loss: 3.617340E+00 | grad norm: 0.925 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.291 | TFLOPs: 24.26 |
7:  iteration     9980/   37905 | consumed samples:      2554880 | consumed tokens:   5232394240 | elapsed time per iteration (s): 0.28 | learning rate: 1.725E-05 | global batch size:   256 | lm loss: 3.678661E+00 | grad norm: 0.823 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.724 | TFLOPs: 23.28 |
7:  iteration     9990/   37905 | consumed samples:      2557440 | consumed tokens:   5237637120 | elapsed time per iteration (s): 0.23 | learning rate: 1.724E-05 | global batch size:   256 | lm loss: 3.680141E+00 | grad norm: 0.887 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.999 | TFLOPs: 28.46 |
0: [2022-11-28 15:55:56,122] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[1.7235122366283088e-05, 1.7235122366283088e-05, 1.7235122366283088e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    10000/   37905 | consumed samples:      2560000 | consumed tokens:   5242880000 | elapsed time per iteration (s): 0.26 | learning rate: 1.724E-05 | global batch size:   256 | lm loss: 3.671897E+00 | grad norm: 0.846 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.231 | TFLOPs: 25.38 |
0: steps: 10000 loss: 3.6505 iter time (s): 0.287 samples/sec: 892.444
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 10000 | lm loss value: 3.460073E+00 | lm loss PPL: 3.181931E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   10000 to checkpoints_83slr
0: [2022-11-28 15:55:56,211] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save!
0: [2022-11-28 15:55:56,214] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_01-model_00-model_states.pt...
0: [2022-11-28 15:55:56,285] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_01-model_00-model_states.pt.
0: [2022-11-28 15:55:56,286] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_03-model_00-model_states.pt...
0: [2022-11-28 15:55:56,298] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_03-model_00-model_states.pt.
0: [2022-11-28 15:55:56,298] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_04-model_00-model_states.pt...
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0: [2022-11-28 15:55:56,320] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_06-model_00-model_states.pt...
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0: [2022-11-28 15:55:56,332] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_07-model_00-model_states.pt...
0: [2022-11-28 15:55:56,343] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_07-model_00-model_states.pt.
0: [2022-11-28 15:55:56,343] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_08-model_00-model_states.pt...
0: [2022-11-28 15:55:56,354] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_08-model_00-model_states.pt.
0: [2022-11-28 15:55:56,354] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_09-model_00-model_states.pt...
0: [2022-11-28 15:55:56,365] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_09-model_00-model_states.pt.
0: [2022-11-28 15:55:56,366] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_10-model_00-model_states.pt...
0: [2022-11-28 15:55:56,377] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_10-model_00-model_states.pt.
0: [2022-11-28 15:55:56,377] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_11-model_00-model_states.pt...
0: [2022-11-28 15:55:56,388] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_11-model_00-model_states.pt.
0: [2022-11-28 15:55:56,388] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step10000/layer_12-model_00-model_states.pt...
0: [2022-11-28 15:55:56,399] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/layer_12-model_00-model_states.pt.
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6: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:55:56,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt
2: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
6: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
2: [2022-11-28 15:55:56,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
5: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:55:56,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
5: [2022-11-28 15:55:56,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
0: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
5: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
0: [2022-11-28 15:55:56,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
4: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt.
0: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
4: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt.
4: [2022-11-28 15:55:56,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
4: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
4: [2022-11-28 15:55:56,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
4: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
7: [2022-11-28 15:55:56,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:55:56,450] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
1: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt.
7: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
7: [2022-11-28 15:55:56,450] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
7: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
1: [2022-11-28 15:55:56,450] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
1: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
2: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt.
2: [2022-11-28 15:55:56,450] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
2: [2022-11-28 15:55:56,450] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
3: [2022-11-28 15:55:56,452] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt.
3: [2022-11-28 15:55:56,452] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step10000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt
3: [2022-11-28 15:55:56,452] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now!
0:   successfully saved checkpoint at iteration   10000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 244.71
7:  iteration    10010/   37905 | consumed samples:      2562560 | consumed tokens:   5248122880 | elapsed time per iteration (s): 0.29 | learning rate: 1.723E-05 | global batch size:   256 | lm loss: 3.637635E+00 | grad norm: 0.858 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.934 | TFLOPs: 22.57 |
7:  iteration    10020/   37905 | consumed samples:      2565120 | consumed tokens:   5253365760 | elapsed time per iteration (s): 0.24 | learning rate: 1.722E-05 | global batch size:   256 | lm loss: 3.669762E+00 | grad norm: 0.820 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.012 | TFLOPs: 27.00 |
7:  iteration    10030/   37905 | consumed samples:      2567680 | consumed tokens:   5258608640 | elapsed time per iteration (s): 0.30 | learning rate: 1.722E-05 | global batch size:   256 | lm loss: 3.672586E+00 | grad norm: 0.991 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 863.774 | TFLOPs: 22.00 |
7:  iteration    10040/   37905 | consumed samples:      2570240 | consumed tokens:   5263851520 | elapsed time per iteration (s): 0.23 | learning rate: 1.721E-05 | global batch size:   256 | lm loss: 3.676053E+00 | grad norm: 0.761 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.821 | TFLOPs: 28.58 |
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7:  iteration    10070/   37905 | consumed samples:      2577920 | consumed tokens:   5279580160 | elapsed time per iteration (s): 0.26 | learning rate: 1.720E-05 | global batch size:   256 | lm loss: 3.658204E+00 | grad norm: 0.917 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.361 | TFLOPs: 25.08 |
7:  iteration    10080/   37905 | consumed samples:      2580480 | consumed tokens:   5284823040 | elapsed time per iteration (s): 0.25 | learning rate: 1.719E-05 | global batch size:   256 | lm loss: 3.607993E+00 | grad norm: 0.923 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.154 | TFLOPs: 26.55 |
7:  iteration    10090/   37905 | consumed samples:      2583040 | consumed tokens:   5290065920 | elapsed time per iteration (s): 0.25 | learning rate: 1.719E-05 | global batch size:   256 | lm loss: 3.624072E+00 | grad norm: 1.156 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.033 | TFLOPs: 26.19 |
7:  iteration    10100/   37905 | consumed samples:      2585600 | consumed tokens:   5295308800 | elapsed time per iteration (s): 0.23 | learning rate: 1.718E-05 | global batch size:   256 | lm loss: 3.661097E+00 | grad norm: 1.011 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.933 | TFLOPs: 27.92 |
7:  iteration    10110/   37905 | consumed samples:      2588160 | consumed tokens:   5300551680 | elapsed time per iteration (s): 0.28 | learning rate: 1.718E-05 | global batch size:   256 | lm loss: 3.632989E+00 | grad norm: 0.950 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.752 | TFLOPs: 23.18 |
7:  iteration    10120/   37905 | consumed samples:      2590720 | consumed tokens:   5305794560 | elapsed time per iteration (s): 0.24 | learning rate: 1.717E-05 | global batch size:   256 | lm loss: 3.612577E+00 | grad norm: 0.856 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.690 | TFLOPs: 27.68 |
7:  iteration    10130/   37905 | consumed samples:      2593280 | consumed tokens:   5311037440 | elapsed time per iteration (s): 0.27 | learning rate: 1.716E-05 | global batch size:   256 | lm loss: 3.645573E+00 | grad norm: 1.119 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.102 | TFLOPs: 24.46 |
7:  iteration    10140/   37905 | consumed samples:      2595840 | consumed tokens:   5316280320 | elapsed time per iteration (s): 0.25 | learning rate: 1.716E-05 | global batch size:   256 | lm loss: 3.653873E+00 | grad norm: 0.842 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.910 | TFLOPs: 25.60 |
7:  iteration    10150/   37905 | consumed samples:      2598400 | consumed tokens:   5321523200 | elapsed time per iteration (s): 0.24 | learning rate: 1.715E-05 | global batch size:   256 | lm loss: 3.625586E+00 | grad norm: 0.844 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.804 | TFLOPs: 26.67 |
7:  iteration    10160/   37905 | consumed samples:      2600960 | consumed tokens:   5326766080 | elapsed time per iteration (s): 0.27 | learning rate: 1.715E-05 | global batch size:   256 | lm loss: 3.640736E+00 | grad norm: 0.825 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.098 | TFLOPs: 23.75 |
7:  iteration    10170/   37905 | consumed samples:      2603520 | consumed tokens:   5332008960 | elapsed time per iteration (s): 0.24 | learning rate: 1.714E-05 | global batch size:   256 | lm loss: 3.665152E+00 | grad norm: 0.833 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.178 | TFLOPs: 26.93 |
7:  iteration    10180/   37905 | consumed samples:      2606080 | consumed tokens:   5337251840 | elapsed time per iteration (s): 0.25 | learning rate: 1.714E-05 | global batch size:   256 | lm loss: 3.639668E+00 | grad norm: 0.821 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.977 | TFLOPs: 25.58 |
7:  iteration    10190/   37905 | consumed samples:      2608640 | consumed tokens:   5342494720 | elapsed time per iteration (s): 0.24 | learning rate: 1.713E-05 | global batch size:   256 | lm loss: 3.643916E+00 | grad norm: 0.898 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.041 | TFLOPs: 27.11 |
7:  iteration    10200/   37905 | consumed samples:      2611200 | consumed tokens:   5347737600 | elapsed time per iteration (s): 0.24 | learning rate: 1.713E-05 | global batch size:   256 | lm loss: 3.636665E+00 | grad norm: 0.875 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.269 | TFLOPs: 27.57 |
7:  iteration    10210/   37905 | consumed samples:      2613760 | consumed tokens:   5352980480 | elapsed time per iteration (s): 0.26 | learning rate: 1.712E-05 | global batch size:   256 | lm loss: 3.639259E+00 | grad norm: 0.915 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.259 | TFLOPs: 25.35 |
7:  iteration    10220/   37905 | consumed samples:      2616320 | consumed tokens:   5358223360 | elapsed time per iteration (s): 0.27 | learning rate: 1.711E-05 | global batch size:   256 | lm loss: 3.624014E+00 | grad norm: 0.890 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 939.235 | TFLOPs: 23.93 |
7:  iteration    10230/   37905 | consumed samples:      2618880 | consumed tokens:   5363466240 | elapsed time per iteration (s): 0.27 | learning rate: 1.711E-05 | global batch size:   256 | lm loss: 3.638891E+00 | grad norm: 0.973 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.172 | TFLOPs: 24.54 |
7:  iteration    10240/   37905 | consumed samples:      2621440 | consumed tokens:   5368709120 | elapsed time per iteration (s): 0.26 | learning rate: 1.710E-05 | global batch size:   256 | lm loss: 3.653594E+00 | grad norm: 0.879 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.216 | TFLOPs: 25.07 |
7:  iteration    10250/   37905 | consumed samples:      2624000 | consumed tokens:   5373952000 | elapsed time per iteration (s): 0.31 | learning rate: 1.710E-05 | global batch size:   256 | lm loss: 3.631266E+00 | grad norm: 0.821 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 832.070 | TFLOPs: 21.20 |
7:  iteration    10260/   37905 | consumed samples:      2626560 | consumed tokens:   5379194880 | elapsed time per iteration (s): 0.25 | learning rate: 1.709E-05 | global batch size:   256 | lm loss: 3.602760E+00 | grad norm: 0.749 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.534 | TFLOPs: 26.56 |
7:  iteration    10270/   37905 | consumed samples:      2629120 | consumed tokens:   5384437760 | elapsed time per iteration (s): 0.25 | learning rate: 1.709E-05 | global batch size:   256 | lm loss: 3.631244E+00 | grad norm: 0.987 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.267 | TFLOPs: 25.97 |
7:  iteration    10280/   37905 | consumed samples:      2631680 | consumed tokens:   5389680640 | elapsed time per iteration (s): 0.27 | learning rate: 1.708E-05 | global batch size:   256 | lm loss: 3.651827E+00 | grad norm: 0.928 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.186 | TFLOPs: 23.98 |
7:  iteration    10290/   37905 | consumed samples:      2634240 | consumed tokens:   5394923520 | elapsed time per iteration (s): 0.23 | learning rate: 1.708E-05 | global batch size:   256 | lm loss: 3.662072E+00 | grad norm: 1.032 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.897 | TFLOPs: 28.17 |
7:  iteration    10300/   37905 | consumed samples:      2636800 | consumed tokens:   5400166400 | elapsed time per iteration (s): 0.26 | learning rate: 1.707E-05 | global batch size:   256 | lm loss: 3.611877E+00 | grad norm: 0.844 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.417 | TFLOPs: 24.82 |
7:  iteration    10310/   37905 | consumed samples:      2639360 | consumed tokens:   5405409280 | elapsed time per iteration (s): 0.24 | learning rate: 1.706E-05 | global batch size:   256 | lm loss: 3.652750E+00 | grad norm: 0.922 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.692 | TFLOPs: 26.64 |
7:  iteration    10320/   37905 | consumed samples:      2641920 | consumed tokens:   5410652160 | elapsed time per iteration (s): 0.29 | learning rate: 1.706E-05 | global batch size:   256 | lm loss: 3.669124E+00 | grad norm: 0.794 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 882.636 | TFLOPs: 22.49 |
7:  iteration    10330/   37905 | consumed samples:      2644480 | consumed tokens:   5415895040 | elapsed time per iteration (s): 0.23 | learning rate: 1.705E-05 | global batch size:   256 | lm loss: 3.616787E+00 | grad norm: 0.805 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.726 | TFLOPs: 28.02 |
7:  iteration    10340/   37905 | consumed samples:      2647040 | consumed tokens:   5421137920 | elapsed time per iteration (s): 0.27 | learning rate: 1.705E-05 | global batch size:   256 | lm loss: 3.665932E+00 | grad norm: 0.718 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.232 | TFLOPs: 24.54 |
7:  iteration    10350/   37905 | consumed samples:      2649600 | consumed tokens:   5426380800 | elapsed time per iteration (s): 0.26 | learning rate: 1.704E-05 | global batch size:   256 | lm loss: 3.634113E+00 | grad norm: 0.793 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.168 | TFLOPs: 25.30 |
7:  iteration    10360/   37905 | consumed samples:      2652160 | consumed tokens:   5431623680 | elapsed time per iteration (s): 0.27 | learning rate: 1.704E-05 | global batch size:   256 | lm loss: 3.644593E+00 | grad norm: 0.937 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.549 | TFLOPs: 24.01 |
7:  iteration    10370/   37905 | consumed samples:      2654720 | consumed tokens:   5436866560 | elapsed time per iteration (s): 0.25 | learning rate: 1.703E-05 | global batch size:   256 | lm loss: 3.634362E+00 | grad norm: 0.936 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.231 | TFLOPs: 25.89 |
7:  iteration    10380/   37905 | consumed samples:      2657280 | consumed tokens:   5442109440 | elapsed time per iteration (s): 0.24 | learning rate: 1.703E-05 | global batch size:   256 | lm loss: 3.629189E+00 | grad norm: 0.957 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.433 | TFLOPs: 26.66 |
7:  iteration    10390/   37905 | consumed samples:      2659840 | consumed tokens:   5447352320 | elapsed time per iteration (s): 0.27 | learning rate: 1.702E-05 | global batch size:   256 | lm loss: 3.622838E+00 | grad norm: 0.880 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.917 | TFLOPs: 24.38 |
7:  iteration    10400/   37905 | consumed samples:      2662400 | consumed tokens:   5452595200 | elapsed time per iteration (s): 0.25 | learning rate: 1.701E-05 | global batch size:   256 | lm loss: 3.646843E+00 | grad norm: 0.785 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.877 | TFLOPs: 26.13 |
7:  iteration    10410/   37905 | consumed samples:      2664960 | consumed tokens:   5457838080 | elapsed time per iteration (s): 0.25 | learning rate: 1.701E-05 | global batch size:   256 | lm loss: 3.616447E+00 | grad norm: 0.737 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.155 | TFLOPs: 26.29 |
7:  iteration    10420/   37905 | consumed samples:      2667520 | consumed tokens:   5463080960 | elapsed time per iteration (s): 0.27 | learning rate: 1.700E-05 | global batch size:   256 | lm loss: 3.646126E+00 | grad norm: 0.785 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 948.631 | TFLOPs: 24.17 |
7:  iteration    10430/   37905 | consumed samples:      2670080 | consumed tokens:   5468323840 | elapsed time per iteration (s): 0.25 | learning rate: 1.700E-05 | global batch size:   256 | lm loss: 3.644205E+00 | grad norm: 0.848 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.927 | TFLOPs: 26.54 |
7:  iteration    10440/   37905 | consumed samples:      2672640 | consumed tokens:   5473566720 | elapsed time per iteration (s): 0.24 | learning rate: 1.699E-05 | global batch size:   256 | lm loss: 3.629213E+00 | grad norm: 0.917 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.006 | TFLOPs: 27.21 |
7:  iteration    10450/   37905 | consumed samples:      2675200 | consumed tokens:   5478809600 | elapsed time per iteration (s): 0.25 | learning rate: 1.699E-05 | global batch size:   256 | lm loss: 3.619435E+00 | grad norm: 0.765 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.251 | TFLOPs: 26.60 |
7:  iteration    10460/   37905 | consumed samples:      2677760 | consumed tokens:   5484052480 | elapsed time per iteration (s): 0.26 | learning rate: 1.698E-05 | global batch size:   256 | lm loss: 3.626323E+00 | grad norm: 0.845 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.930 | TFLOPs: 24.63 |
7:  iteration    10470/   37905 | consumed samples:      2680320 | consumed tokens:   5489295360 | elapsed time per iteration (s): 0.26 | learning rate: 1.697E-05 | global batch size:   256 | lm loss: 3.638071E+00 | grad norm: 0.810 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.747 | TFLOPs: 24.65 |
7:  iteration    10480/   37905 | consumed samples:      2682880 | consumed tokens:   5494538240 | elapsed time per iteration (s): 0.23 | learning rate: 1.697E-05 | global batch size:   256 | lm loss: 3.621503E+00 | grad norm: 0.830 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.404 | TFLOPs: 28.29 |
7:  iteration    10490/   37905 | consumed samples:      2685440 | consumed tokens:   5499781120 | elapsed time per iteration (s): 0.28 | learning rate: 1.696E-05 | global batch size:   256 | lm loss: 3.613294E+00 | grad norm: 0.754 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.098 | TFLOPs: 23.11 |
7:  iteration    10500/   37905 | consumed samples:      2688000 | consumed tokens:   5505024000 | elapsed time per iteration (s): 0.24 | learning rate: 1.696E-05 | global batch size:   256 | lm loss: 3.624039E+00 | grad norm: 0.848 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.784 | TFLOPs: 27.38 |
7:  iteration    10510/   37905 | consumed samples:      2690560 | consumed tokens:   5510266880 | elapsed time per iteration (s): 0.27 | learning rate: 1.695E-05 | global batch size:   256 | lm loss: 3.641891E+00 | grad norm: 0.727 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.542 | TFLOPs: 24.44 |
7:  iteration    10520/   37905 | consumed samples:      2693120 | consumed tokens:   5515509760 | elapsed time per iteration (s): 0.29 | learning rate: 1.695E-05 | global batch size:   256 | lm loss: 3.683533E+00 | grad norm: 0.826 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.242 | TFLOPs: 22.37 |
7:  iteration    10530/   37905 | consumed samples:      2695680 | consumed tokens:   5520752640 | elapsed time per iteration (s): 0.23 | learning rate: 1.694E-05 | global batch size:   256 | lm loss: 3.625399E+00 | grad norm: 1.066 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.003 | TFLOPs: 27.82 |
7:  iteration    10540/   37905 | consumed samples:      2698240 | consumed tokens:   5525995520 | elapsed time per iteration (s): 0.25 | learning rate: 1.694E-05 | global batch size:   256 | lm loss: 3.624255E+00 | grad norm: 0.839 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.612 | TFLOPs: 25.85 |
7:  iteration    10550/   37905 | consumed samples:      2700800 | consumed tokens:   5531238400 | elapsed time per iteration (s): 0.25 | learning rate: 1.693E-05 | global batch size:   256 | lm loss: 3.600226E+00 | grad norm: 0.812 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.558 | TFLOPs: 26.23 |
7:  iteration    10560/   37905 | consumed samples:      2703360 | consumed tokens:   5536481280 | elapsed time per iteration (s): 0.29 | learning rate: 1.692E-05 | global batch size:   256 | lm loss: 3.612276E+00 | grad norm: 0.887 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.061 | TFLOPs: 22.22 |
7:  iteration    10570/   37905 | consumed samples:      2705920 | consumed tokens:   5541724160 | elapsed time per iteration (s): 0.23 | learning rate: 1.692E-05 | global batch size:   256 | lm loss: 3.612377E+00 | grad norm: 0.918 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.206 | TFLOPs: 27.77 |
7:  iteration    10580/   37905 | consumed samples:      2708480 | consumed tokens:   5546967040 | elapsed time per iteration (s): 0.29 | learning rate: 1.691E-05 | global batch size:   256 | lm loss: 3.617438E+00 | grad norm: 0.946 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.157 | TFLOPs: 22.27 |
7:  iteration    10590/   37905 | consumed samples:      2711040 | consumed tokens:   5552209920 | elapsed time per iteration (s): 0.29 | learning rate: 1.691E-05 | global batch size:   256 | lm loss: 3.661749E+00 | grad norm: 1.136 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 882.614 | TFLOPs: 22.48 |
7:  iteration    10600/   37905 | consumed samples:      2713600 | consumed tokens:   5557452800 | elapsed time per iteration (s): 0.27 | learning rate: 1.690E-05 | global batch size:   256 | lm loss: 3.602847E+00 | grad norm: 0.837 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.737 | TFLOPs: 24.12 |
7:  iteration    10610/   37905 | consumed samples:      2716160 | consumed tokens:   5562695680 | elapsed time per iteration (s): 0.26 | learning rate: 1.690E-05 | global batch size:   256 | lm loss: 3.591817E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.043 | TFLOPs: 24.74 |
7:  iteration    10620/   37905 | consumed samples:      2718720 | consumed tokens:   5567938560 | elapsed time per iteration (s): 0.26 | learning rate: 1.689E-05 | global batch size:   256 | lm loss: 3.612593E+00 | grad norm: 0.684 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.029 | TFLOPs: 25.02 |
7:  iteration    10630/   37905 | consumed samples:      2721280 | consumed tokens:   5573181440 | elapsed time per iteration (s): 0.25 | learning rate: 1.688E-05 | global batch size:   256 | lm loss: 3.588770E+00 | grad norm: 0.807 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.649 | TFLOPs: 25.92 |
7:  iteration    10640/   37905 | consumed samples:      2723840 | consumed tokens:   5578424320 | elapsed time per iteration (s): 0.25 | learning rate: 1.688E-05 | global batch size:   256 | lm loss: 3.624532E+00 | grad norm: 0.992 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.038 | TFLOPs: 26.16 |
7:  iteration    10650/   37905 | consumed samples:      2726400 | consumed tokens:   5583667200 | elapsed time per iteration (s): 0.26 | learning rate: 1.687E-05 | global batch size:   256 | lm loss: 3.633139E+00 | grad norm: 0.818 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.410 | TFLOPs: 25.31 |
7:  iteration    10660/   37905 | consumed samples:      2728960 | consumed tokens:   5588910080 | elapsed time per iteration (s): 0.24 | learning rate: 1.687E-05 | global batch size:   256 | lm loss: 3.633457E+00 | grad norm: 0.971 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.933 | TFLOPs: 26.62 |
7:  iteration    10670/   37905 | consumed samples:      2731520 | consumed tokens:   5594152960 | elapsed time per iteration (s): 0.25 | learning rate: 1.686E-05 | global batch size:   256 | lm loss: 3.640998E+00 | grad norm: 1.165 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.126 | TFLOPs: 26.55 |
7:  iteration    10680/   37905 | consumed samples:      2734080 | consumed tokens:   5599395840 | elapsed time per iteration (s): 0.27 | learning rate: 1.686E-05 | global batch size:   256 | lm loss: 3.617492E+00 | grad norm: 0.949 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.201 | TFLOPs: 24.31 |
7:  iteration    10690/   37905 | consumed samples:      2736640 | consumed tokens:   5604638720 | elapsed time per iteration (s): 0.25 | learning rate: 1.685E-05 | global batch size:   256 | lm loss: 3.624968E+00 | grad norm: 0.716 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.893 | TFLOPs: 25.85 |
7:  iteration    10700/   37905 | consumed samples:      2739200 | consumed tokens:   5609881600 | elapsed time per iteration (s): 0.29 | learning rate: 1.684E-05 | global batch size:   256 | lm loss: 3.608708E+00 | grad norm: 0.756 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 882.156 | TFLOPs: 22.47 |
7:  iteration    10710/   37905 | consumed samples:      2741760 | consumed tokens:   5615124480 | elapsed time per iteration (s): 0.24 | learning rate: 1.684E-05 | global batch size:   256 | lm loss: 3.641981E+00 | grad norm: 0.861 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.041 | TFLOPs: 27.18 |
7:  iteration    10720/   37905 | consumed samples:      2744320 | consumed tokens:   5620367360 | elapsed time per iteration (s): 0.26 | learning rate: 1.683E-05 | global batch size:   256 | lm loss: 3.646774E+00 | grad norm: 0.792 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.036 | TFLOPs: 24.71 |
7:  iteration    10730/   37905 | consumed samples:      2746880 | consumed tokens:   5625610240 | elapsed time per iteration (s): 0.25 | learning rate: 1.683E-05 | global batch size:   256 | lm loss: 3.612434E+00 | grad norm: 0.807 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.721 | TFLOPs: 26.39 |
7:  iteration    10740/   37905 | consumed samples:      2749440 | consumed tokens:   5630853120 | elapsed time per iteration (s): 0.26 | learning rate: 1.682E-05 | global batch size:   256 | lm loss: 3.584676E+00 | grad norm: 0.970 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.786 | TFLOPs: 25.50 |
7:  iteration    10750/   37905 | consumed samples:      2752000 | consumed tokens:   5636096000 | elapsed time per iteration (s): 0.24 | learning rate: 1.682E-05 | global batch size:   256 | lm loss: 3.607460E+00 | grad norm: 0.854 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.311 | TFLOPs: 27.72 |
7:  iteration    10760/   37905 | consumed samples:      2754560 | consumed tokens:   5641338880 | elapsed time per iteration (s): 0.24 | learning rate: 1.681E-05 | global batch size:   256 | lm loss: 3.621995E+00 | grad norm: 0.786 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.246 | TFLOPs: 26.88 |
7:  iteration    10770/   37905 | consumed samples:      2757120 | consumed tokens:   5646581760 | elapsed time per iteration (s): 0.24 | learning rate: 1.680E-05 | global batch size:   256 | lm loss: 3.579263E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.331 | TFLOPs: 26.68 |
7:  iteration    10780/   37905 | consumed samples:      2759680 | consumed tokens:   5651824640 | elapsed time per iteration (s): 0.23 | learning rate: 1.680E-05 | global batch size:   256 | lm loss: 3.562647E+00 | grad norm: 1.014 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.002 | TFLOPs: 27.84 |
7:  iteration    10790/   37905 | consumed samples:      2762240 | consumed tokens:   5657067520 | elapsed time per iteration (s): 0.27 | learning rate: 1.679E-05 | global batch size:   256 | lm loss: 3.632143E+00 | grad norm: 0.956 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 948.535 | TFLOPs: 24.16 |
7:  iteration    10800/   37905 | consumed samples:      2764800 | consumed tokens:   5662310400 | elapsed time per iteration (s): 0.24 | learning rate: 1.679E-05 | global batch size:   256 | lm loss: 3.585561E+00 | grad norm: 0.802 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.107 | TFLOPs: 26.65 |
7:  iteration    10810/   37905 | consumed samples:      2767360 | consumed tokens:   5667553280 | elapsed time per iteration (s): 0.26 | learning rate: 1.678E-05 | global batch size:   256 | lm loss: 3.591953E+00 | grad norm: 0.882 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.614 | TFLOPs: 24.78 |
7:  iteration    10820/   37905 | consumed samples:      2769920 | consumed tokens:   5672796160 | elapsed time per iteration (s): 0.26 | learning rate: 1.678E-05 | global batch size:   256 | lm loss: 3.607806E+00 | grad norm: 0.945 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.264 | TFLOPs: 24.85 |
7:  iteration    10830/   37905 | consumed samples:      2772480 | consumed tokens:   5678039040 | elapsed time per iteration (s): 0.27 | learning rate: 1.677E-05 | global batch size:   256 | lm loss: 3.620910E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.098 | TFLOPs: 23.77 |
7:  iteration    10840/   37905 | consumed samples:      2775040 | consumed tokens:   5683281920 | elapsed time per iteration (s): 0.25 | learning rate: 1.676E-05 | global batch size:   256 | lm loss: 3.609983E+00 | grad norm: 0.851 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.789 | TFLOPs: 25.95 |
7:  iteration    10850/   37905 | consumed samples:      2777600 | consumed tokens:   5688524800 | elapsed time per iteration (s): 0.24 | learning rate: 1.676E-05 | global batch size:   256 | lm loss: 3.560580E+00 | grad norm: 0.822 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.813 | TFLOPs: 26.90 |
7:  iteration    10860/   37905 | consumed samples:      2780160 | consumed tokens:   5693767680 | elapsed time per iteration (s): 0.30 | learning rate: 1.675E-05 | global batch size:   256 | lm loss: 3.648622E+00 | grad norm: 1.138 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 852.176 | TFLOPs: 21.71 |
7:  iteration    10870/   37905 | consumed samples:      2782720 | consumed tokens:   5699010560 | elapsed time per iteration (s): 0.27 | learning rate: 1.675E-05 | global batch size:   256 | lm loss: 3.610275E+00 | grad norm: 0.730 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.989 | TFLOPs: 24.20 |
7:  iteration    10880/   37905 | consumed samples:      2785280 | consumed tokens:   5704253440 | elapsed time per iteration (s): 0.23 | learning rate: 1.674E-05 | global batch size:   256 | lm loss: 3.634918E+00 | grad norm: 0.790 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.578 | TFLOPs: 28.09 |
7:  iteration    10890/   37905 | consumed samples:      2787840 | consumed tokens:   5709496320 | elapsed time per iteration (s): 0.25 | learning rate: 1.673E-05 | global batch size:   256 | lm loss: 3.617836E+00 | grad norm: 1.079 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.216 | TFLOPs: 25.61 |
7:  iteration    10900/   37905 | consumed samples:      2790400 | consumed tokens:   5714739200 | elapsed time per iteration (s): 0.26 | learning rate: 1.673E-05 | global batch size:   256 | lm loss: 3.598481E+00 | grad norm: 0.793 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.838 | TFLOPs: 25.17 |
7:  iteration    10910/   37905 | consumed samples:      2792960 | consumed tokens:   5719982080 | elapsed time per iteration (s): 0.26 | learning rate: 1.672E-05 | global batch size:   256 | lm loss: 3.642839E+00 | grad norm: 0.963 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.050 | TFLOPs: 24.89 |
7:  iteration    10920/   37905 | consumed samples:      2795520 | consumed tokens:   5725224960 | elapsed time per iteration (s): 0.26 | learning rate: 1.672E-05 | global batch size:   256 | lm loss: 3.574958E+00 | grad norm: 0.857 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.841 | TFLOPs: 25.27 |
7:  iteration    10930/   37905 | consumed samples:      2798080 | consumed tokens:   5730467840 | elapsed time per iteration (s): 0.24 | learning rate: 1.671E-05 | global batch size:   256 | lm loss: 3.588517E+00 | grad norm: 0.748 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.006 | TFLOPs: 26.93 |
7:  iteration    10940/   37905 | consumed samples:      2800640 | consumed tokens:   5735710720 | elapsed time per iteration (s): 0.25 | learning rate: 1.671E-05 | global batch size:   256 | lm loss: 3.553156E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.743 | TFLOPs: 26.11 |
7:  iteration    10950/   37905 | consumed samples:      2803200 | consumed tokens:   5740953600 | elapsed time per iteration (s): 0.28 | learning rate: 1.670E-05 | global batch size:   256 | lm loss: 3.621734E+00 | grad norm: 0.722 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 904.270 | TFLOPs: 23.04 |
7:  iteration    10960/   37905 | consumed samples:      2805760 | consumed tokens:   5746196480 | elapsed time per iteration (s): 0.23 | learning rate: 1.669E-05 | global batch size:   256 | lm loss: 3.587946E+00 | grad norm: 0.832 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.543 | TFLOPs: 28.16 |
7:  iteration    10970/   37905 | consumed samples:      2808320 | consumed tokens:   5751439360 | elapsed time per iteration (s): 0.26 | learning rate: 1.669E-05 | global batch size:   256 | lm loss: 3.598243E+00 | grad norm: 0.874 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.323 | TFLOPs: 25.10 |
7:  iteration    10980/   37905 | consumed samples:      2810880 | consumed tokens:   5756682240 | elapsed time per iteration (s): 0.23 | learning rate: 1.668E-05 | global batch size:   256 | lm loss: 3.601800E+00 | grad norm: 1.012 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.082 | TFLOPs: 28.69 |
7:  iteration    10990/   37905 | consumed samples:      2813440 | consumed tokens:   5761925120 | elapsed time per iteration (s): 0.28 | learning rate: 1.668E-05 | global batch size:   256 | lm loss: 3.602238E+00 | grad norm: 0.808 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 918.342 | TFLOPs: 23.39 |
7:  iteration    11000/   37905 | consumed samples:      2816000 | consumed tokens:   5767168000 | elapsed time per iteration (s): 0.26 | learning rate: 1.667E-05 | global batch size:   256 | lm loss: 3.604810E+00 | grad norm: 0.720 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 979.140 | TFLOPs: 24.94 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 11000 | lm loss value: 3.447213E+00 | lm loss PPL: 3.141271E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   11000 to checkpoints_83slr
0: [2022-11-28 16:00:13,405] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save!
0: [2022-11-28 16:00:13,409] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step11000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:00:13,482] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:00:13,482] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step11000/layer_03-model_00-model_states.pt...
0: [2022-11-28 16:00:13,494] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/layer_03-model_00-model_states.pt.
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0: [2022-11-28 16:00:13,516] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step11000/layer_06-model_00-model_states.pt...
0: [2022-11-28 16:00:13,527] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/layer_06-model_00-model_states.pt.
0: [2022-11-28 16:00:13,527] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step11000/layer_07-model_00-model_states.pt...
0: [2022-11-28 16:00:13,538] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/layer_07-model_00-model_states.pt.
0: [2022-11-28 16:00:13,539] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step11000/layer_08-model_00-model_states.pt...
0: [2022-11-28 16:00:13,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/layer_08-model_00-model_states.pt.
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7: [2022-11-28 16:00:13,643] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
5: [2022-11-28 16:00:13,643] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt
7: [2022-11-28 16:00:13,643] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
5: [2022-11-28 16:00:13,643] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
0: [2022-11-28 16:00:13,643] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:00:13,643] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:00:13,643] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
2: [2022-11-28 16:00:13,643] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt
0: [2022-11-28 16:00:13,643] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
2: [2022-11-28 16:00:13,643] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
3: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
3: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
2: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
6: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
5: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
6: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt
2: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
6: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
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6: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
4: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
4: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
4: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
1: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt
4: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
4: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
1: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
1: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
1: [2022-11-28 16:00:13,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
1: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
1: [2022-11-28 16:00:13,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
3: [2022-11-28 16:00:13,647] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:00:13,647] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step11000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
3: [2022-11-28 16:00:13,647] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now!
0:   successfully saved checkpoint at iteration   11000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 244.46
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7:  iteration    11120/   37905 | consumed samples:      2846720 | consumed tokens:   5830082560 | elapsed time per iteration (s): 0.31 | learning rate: 1.660E-05 | global batch size:   256 | lm loss: 3.613562E+00 | grad norm: 1.009 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 833.648 | TFLOPs: 21.24 |
7:  iteration    11130/   37905 | consumed samples:      2849280 | consumed tokens:   5835325440 | elapsed time per iteration (s): 0.23 | learning rate: 1.659E-05 | global batch size:   256 | lm loss: 3.573408E+00 | grad norm: 0.789 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.004 | TFLOPs: 28.30 |
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7:  iteration    11150/   37905 | consumed samples:      2854400 | consumed tokens:   5845811200 | elapsed time per iteration (s): 0.26 | learning rate: 1.658E-05 | global batch size:   256 | lm loss: 3.586379E+00 | grad norm: 0.775 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.187 | TFLOPs: 25.12 |
7:  iteration    11160/   37905 | consumed samples:      2856960 | consumed tokens:   5851054080 | elapsed time per iteration (s): 0.26 | learning rate: 1.658E-05 | global batch size:   256 | lm loss: 3.606145E+00 | grad norm: 0.825 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.413 | TFLOPs: 24.98 |
7:  iteration    11170/   37905 | consumed samples:      2859520 | consumed tokens:   5856296960 | elapsed time per iteration (s): 0.25 | learning rate: 1.657E-05 | global batch size:   256 | lm loss: 3.602536E+00 | grad norm: 0.749 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.165 | TFLOPs: 25.81 |
7:  iteration    11180/   37905 | consumed samples:      2862080 | consumed tokens:   5861539840 | elapsed time per iteration (s): 0.28 | learning rate: 1.656E-05 | global batch size:   256 | lm loss: 3.602851E+00 | grad norm: 0.790 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.908 | TFLOPs: 23.10 |
7:  iteration    11190/   37905 | consumed samples:      2864640 | consumed tokens:   5866782720 | elapsed time per iteration (s): 0.24 | learning rate: 1.656E-05 | global batch size:   256 | lm loss: 3.539008E+00 | grad norm: 0.819 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.010 | TFLOPs: 26.98 |
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7:  iteration    11210/   37905 | consumed samples:      2869760 | consumed tokens:   5877268480 | elapsed time per iteration (s): 0.23 | learning rate: 1.655E-05 | global batch size:   256 | lm loss: 3.604785E+00 | grad norm: 0.931 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.657 | TFLOPs: 28.50 |
7:  iteration    11220/   37905 | consumed samples:      2872320 | consumed tokens:   5882511360 | elapsed time per iteration (s): 0.27 | learning rate: 1.654E-05 | global batch size:   256 | lm loss: 3.626545E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.782 | TFLOPs: 24.30 |
7:  iteration    11230/   37905 | consumed samples:      2874880 | consumed tokens:   5887754240 | elapsed time per iteration (s): 0.25 | learning rate: 1.653E-05 | global batch size:   256 | lm loss: 3.608690E+00 | grad norm: 0.859 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.929 | TFLOPs: 25.75 |
7:  iteration    11240/   37905 | consumed samples:      2877440 | consumed tokens:   5892997120 | elapsed time per iteration (s): 0.27 | learning rate: 1.653E-05 | global batch size:   256 | lm loss: 3.625707E+00 | grad norm: 0.772 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.161 | TFLOPs: 23.82 |
7:  iteration    11250/   37905 | consumed samples:      2880000 | consumed tokens:   5898240000 | elapsed time per iteration (s): 0.26 | learning rate: 1.652E-05 | global batch size:   256 | lm loss: 3.611663E+00 | grad norm: 0.753 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.330 | TFLOPs: 24.87 |
7:  iteration    11260/   37905 | consumed samples:      2882560 | consumed tokens:   5903482880 | elapsed time per iteration (s): 0.27 | learning rate: 1.652E-05 | global batch size:   256 | lm loss: 3.588835E+00 | grad norm: 0.766 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.419 | TFLOPs: 24.14 |
7:  iteration    11270/   37905 | consumed samples:      2885120 | consumed tokens:   5908725760 | elapsed time per iteration (s): 0.27 | learning rate: 1.651E-05 | global batch size:   256 | lm loss: 3.603517E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.340 | TFLOPs: 24.44 |
7:  iteration    11280/   37905 | consumed samples:      2887680 | consumed tokens:   5913968640 | elapsed time per iteration (s): 0.26 | learning rate: 1.651E-05 | global batch size:   256 | lm loss: 3.636684E+00 | grad norm: 0.758 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.297 | TFLOPs: 25.23 |
7:  iteration    11290/   37905 | consumed samples:      2890240 | consumed tokens:   5919211520 | elapsed time per iteration (s): 0.25 | learning rate: 1.650E-05 | global batch size:   256 | lm loss: 3.581279E+00 | grad norm: 0.743 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.549 | TFLOPs: 25.74 |
7:  iteration    11300/   37905 | consumed samples:      2892800 | consumed tokens:   5924454400 | elapsed time per iteration (s): 0.24 | learning rate: 1.649E-05 | global batch size:   256 | lm loss: 3.563694E+00 | grad norm: 0.930 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.821 | TFLOPs: 27.00 |
7:  iteration    11310/   37905 | consumed samples:      2895360 | consumed tokens:   5929697280 | elapsed time per iteration (s): 0.23 | learning rate: 1.649E-05 | global batch size:   256 | lm loss: 3.572029E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.465 | TFLOPs: 28.14 |
7:  iteration    11320/   37905 | consumed samples:      2897920 | consumed tokens:   5934940160 | elapsed time per iteration (s): 0.27 | learning rate: 1.648E-05 | global batch size:   256 | lm loss: 3.576896E+00 | grad norm: 0.732 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.319 | TFLOPs: 24.26 |
7:  iteration    11330/   37905 | consumed samples:      2900480 | consumed tokens:   5940183040 | elapsed time per iteration (s): 0.23 | learning rate: 1.648E-05 | global batch size:   256 | lm loss: 3.565160E+00 | grad norm: 0.867 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.507 | TFLOPs: 27.86 |
7:  iteration    11340/   37905 | consumed samples:      2903040 | consumed tokens:   5945425920 | elapsed time per iteration (s): 0.28 | learning rate: 1.647E-05 | global batch size:   256 | lm loss: 3.594186E+00 | grad norm: 0.745 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.788 | TFLOPs: 23.02 |
7:  iteration    11350/   37905 | consumed samples:      2905600 | consumed tokens:   5950668800 | elapsed time per iteration (s): 0.24 | learning rate: 1.646E-05 | global batch size:   256 | lm loss: 3.599128E+00 | grad norm: 0.663 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1073.713 | TFLOPs: 27.35 |
7:  iteration    11360/   37905 | consumed samples:      2908160 | consumed tokens:   5955911680 | elapsed time per iteration (s): 0.25 | learning rate: 1.646E-05 | global batch size:   256 | lm loss: 3.626110E+00 | grad norm: 0.730 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.785 | TFLOPs: 26.59 |
7:  iteration    11370/   37905 | consumed samples:      2910720 | consumed tokens:   5961154560 | elapsed time per iteration (s): 0.25 | learning rate: 1.645E-05 | global batch size:   256 | lm loss: 3.594177E+00 | grad norm: 0.990 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.544 | TFLOPs: 25.74 |
7:  iteration    11380/   37905 | consumed samples:      2913280 | consumed tokens:   5966397440 | elapsed time per iteration (s): 0.25 | learning rate: 1.645E-05 | global batch size:   256 | lm loss: 3.588833E+00 | grad norm: 1.040 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.026 | TFLOPs: 26.24 |
7:  iteration    11390/   37905 | consumed samples:      2915840 | consumed tokens:   5971640320 | elapsed time per iteration (s): 0.25 | learning rate: 1.644E-05 | global batch size:   256 | lm loss: 3.573526E+00 | grad norm: 0.800 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.249 | TFLOPs: 25.79 |
7:  iteration    11400/   37905 | consumed samples:      2918400 | consumed tokens:   5976883200 | elapsed time per iteration (s): 0.24 | learning rate: 1.643E-05 | global batch size:   256 | lm loss: 3.627034E+00 | grad norm: 0.758 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.863 | TFLOPs: 26.80 |
7:  iteration    11410/   37905 | consumed samples:      2920960 | consumed tokens:   5982126080 | elapsed time per iteration (s): 0.26 | learning rate: 1.643E-05 | global batch size:   256 | lm loss: 3.555997E+00 | grad norm: 0.919 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.531 | TFLOPs: 25.49 |
7:  iteration    11420/   37905 | consumed samples:      2923520 | consumed tokens:   5987368960 | elapsed time per iteration (s): 0.26 | learning rate: 1.642E-05 | global batch size:   256 | lm loss: 3.555510E+00 | grad norm: 0.795 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.895 | TFLOPs: 24.66 |
7:  iteration    11430/   37905 | consumed samples:      2926080 | consumed tokens:   5992611840 | elapsed time per iteration (s): 0.23 | learning rate: 1.642E-05 | global batch size:   256 | lm loss: 3.573962E+00 | grad norm: 0.789 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.394 | TFLOPs: 28.08 |
7:  iteration    11440/   37905 | consumed samples:      2928640 | consumed tokens:   5997854720 | elapsed time per iteration (s): 0.26 | learning rate: 1.641E-05 | global batch size:   256 | lm loss: 3.607684E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.436 | TFLOPs: 25.38 |
7:  iteration    11450/   37905 | consumed samples:      2931200 | consumed tokens:   6003097600 | elapsed time per iteration (s): 0.23 | learning rate: 1.640E-05 | global batch size:   256 | lm loss: 3.561754E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.969 | TFLOPs: 28.05 |
7:  iteration    11460/   37905 | consumed samples:      2933760 | consumed tokens:   6008340480 | elapsed time per iteration (s): 0.26 | learning rate: 1.640E-05 | global batch size:   256 | lm loss: 3.581723E+00 | grad norm: 0.775 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.004 | TFLOPs: 25.32 |
7:  iteration    11470/   37905 | consumed samples:      2936320 | consumed tokens:   6013583360 | elapsed time per iteration (s): 0.25 | learning rate: 1.639E-05 | global batch size:   256 | lm loss: 3.611215E+00 | grad norm: 0.747 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.935 | TFLOPs: 26.29 |
7:  iteration    11480/   37905 | consumed samples:      2938880 | consumed tokens:   6018826240 | elapsed time per iteration (s): 0.23 | learning rate: 1.639E-05 | global batch size:   256 | lm loss: 3.613308E+00 | grad norm: 0.788 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.722 | TFLOPs: 28.53 |
7:  iteration    11490/   37905 | consumed samples:      2941440 | consumed tokens:   6024069120 | elapsed time per iteration (s): 0.27 | learning rate: 1.638E-05 | global batch size:   256 | lm loss: 3.601194E+00 | grad norm: 0.966 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.678 | TFLOPs: 24.40 |
7:  iteration    11500/   37905 | consumed samples:      2944000 | consumed tokens:   6029312000 | elapsed time per iteration (s): 0.24 | learning rate: 1.637E-05 | global batch size:   256 | lm loss: 3.617470E+00 | grad norm: 0.822 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1073.960 | TFLOPs: 27.36 |
7:  iteration    11510/   37905 | consumed samples:      2946560 | consumed tokens:   6034554880 | elapsed time per iteration (s): 0.26 | learning rate: 1.637E-05 | global batch size:   256 | lm loss: 3.610316E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.966 | TFLOPs: 25.04 |
7:  iteration    11520/   37905 | consumed samples:      2949120 | consumed tokens:   6039797760 | elapsed time per iteration (s): 0.26 | learning rate: 1.636E-05 | global batch size:   256 | lm loss: 3.579398E+00 | grad norm: 0.783 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.975 | TFLOPs: 25.09 |
7:  iteration    11530/   37905 | consumed samples:      2951680 | consumed tokens:   6045040640 | elapsed time per iteration (s): 0.24 | learning rate: 1.635E-05 | global batch size:   256 | lm loss: 3.553606E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.174 | TFLOPs: 27.11 |
7:  iteration    11540/   37905 | consumed samples:      2954240 | consumed tokens:   6050283520 | elapsed time per iteration (s): 0.30 | learning rate: 1.635E-05 | global batch size:   256 | lm loss: 3.607102E+00 | grad norm: 0.841 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 863.461 | TFLOPs: 22.00 |
7:  iteration    11550/   37905 | consumed samples:      2956800 | consumed tokens:   6055526400 | elapsed time per iteration (s): 0.25 | learning rate: 1.634E-05 | global batch size:   256 | lm loss: 3.610305E+00 | grad norm: 0.834 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.547 | TFLOPs: 26.36 |
7:  iteration    11560/   37905 | consumed samples:      2959360 | consumed tokens:   6060769280 | elapsed time per iteration (s): 0.26 | learning rate: 1.634E-05 | global batch size:   256 | lm loss: 3.594649E+00 | grad norm: 0.681 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 979.594 | TFLOPs: 24.96 |
7:  iteration    11570/   37905 | consumed samples:      2961920 | consumed tokens:   6066012160 | elapsed time per iteration (s): 0.25 | learning rate: 1.633E-05 | global batch size:   256 | lm loss: 3.572319E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.149 | TFLOPs: 25.73 |
7:  iteration    11580/   37905 | consumed samples:      2964480 | consumed tokens:   6071255040 | elapsed time per iteration (s): 0.27 | learning rate: 1.632E-05 | global batch size:   256 | lm loss: 3.549603E+00 | grad norm: 0.829 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.774 | TFLOPs: 24.48 |
7:  iteration    11590/   37905 | consumed samples:      2967040 | consumed tokens:   6076497920 | elapsed time per iteration (s): 0.25 | learning rate: 1.632E-05 | global batch size:   256 | lm loss: 3.590055E+00 | grad norm: 0.785 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.064 | TFLOPs: 26.34 |
7:  iteration    11600/   37905 | consumed samples:      2969600 | consumed tokens:   6081740800 | elapsed time per iteration (s): 0.25 | learning rate: 1.631E-05 | global batch size:   256 | lm loss: 3.592503E+00 | grad norm: 0.681 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.695 | TFLOPs: 26.05 |
7:  iteration    11610/   37905 | consumed samples:      2972160 | consumed tokens:   6086983680 | elapsed time per iteration (s): 0.30 | learning rate: 1.631E-05 | global batch size:   256 | lm loss: 3.602533E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 858.681 | TFLOPs: 21.88 |
7:  iteration    11620/   37905 | consumed samples:      2974720 | consumed tokens:   6092226560 | elapsed time per iteration (s): 0.25 | learning rate: 1.630E-05 | global batch size:   256 | lm loss: 3.625242E+00 | grad norm: 1.016 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.973 | TFLOPs: 25.88 |
7:  iteration    11630/   37905 | consumed samples:      2977280 | consumed tokens:   6097469440 | elapsed time per iteration (s): 0.27 | learning rate: 1.629E-05 | global batch size:   256 | lm loss: 3.563836E+00 | grad norm: 0.752 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.190 | TFLOPs: 24.23 |
7:  iteration    11640/   37905 | consumed samples:      2979840 | consumed tokens:   6102712320 | elapsed time per iteration (s): 0.25 | learning rate: 1.629E-05 | global batch size:   256 | lm loss: 3.607531E+00 | grad norm: 0.902 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.188 | TFLOPs: 25.66 |
7:  iteration    11650/   37905 | consumed samples:      2982400 | consumed tokens:   6107955200 | elapsed time per iteration (s): 0.24 | learning rate: 1.628E-05 | global batch size:   256 | lm loss: 3.545253E+00 | grad norm: 0.776 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1078.189 | TFLOPs: 27.47 |
7:  iteration    11660/   37905 | consumed samples:      2984960 | consumed tokens:   6113198080 | elapsed time per iteration (s): 0.27 | learning rate: 1.628E-05 | global batch size:   256 | lm loss: 3.582508E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.111 | TFLOPs: 23.85 |
7:  iteration    11670/   37905 | consumed samples:      2987520 | consumed tokens:   6118440960 | elapsed time per iteration (s): 0.25 | learning rate: 1.627E-05 | global batch size:   256 | lm loss: 3.566351E+00 | grad norm: 0.849 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.363 | TFLOPs: 26.17 |
7:  iteration    11680/   37905 | consumed samples:      2990080 | consumed tokens:   6123683840 | elapsed time per iteration (s): 0.23 | learning rate: 1.626E-05 | global batch size:   256 | lm loss: 3.614323E+00 | grad norm: 0.841 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.805 | TFLOPs: 28.65 |
7:  iteration    11690/   37905 | consumed samples:      2992640 | consumed tokens:   6128926720 | elapsed time per iteration (s): 0.26 | learning rate: 1.626E-05 | global batch size:   256 | lm loss: 3.607200E+00 | grad norm: 0.784 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.747 | TFLOPs: 25.57 |
7:  iteration    11700/   37905 | consumed samples:      2995200 | consumed tokens:   6134169600 | elapsed time per iteration (s): 0.24 | learning rate: 1.625E-05 | global batch size:   256 | lm loss: 3.558692E+00 | grad norm: 0.839 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.498 | TFLOPs: 27.14 |
7:  iteration    11710/   37905 | consumed samples:      2997760 | consumed tokens:   6139412480 | elapsed time per iteration (s): 0.28 | learning rate: 1.625E-05 | global batch size:   256 | lm loss: 3.580288E+00 | grad norm: 0.825 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.627 | TFLOPs: 23.22 |
7:  iteration    11720/   37905 | consumed samples:      3000320 | consumed tokens:   6144655360 | elapsed time per iteration (s): 0.26 | learning rate: 1.624E-05 | global batch size:   256 | lm loss: 3.571464E+00 | grad norm: 0.938 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.813 | TFLOPs: 25.16 |
7:  iteration    11730/   37905 | consumed samples:      3002880 | consumed tokens:   6149898240 | elapsed time per iteration (s): 0.24 | learning rate: 1.623E-05 | global batch size:   256 | lm loss: 3.567123E+00 | grad norm: 0.730 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.984 | TFLOPs: 26.70 |
7:  iteration    11740/   37905 | consumed samples:      3005440 | consumed tokens:   6155141120 | elapsed time per iteration (s): 0.26 | learning rate: 1.623E-05 | global batch size:   256 | lm loss: 3.588317E+00 | grad norm: 0.924 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.778 | TFLOPs: 25.44 |
7:  iteration    11750/   37905 | consumed samples:      3008000 | consumed tokens:   6160384000 | elapsed time per iteration (s): 0.25 | learning rate: 1.622E-05 | global batch size:   256 | lm loss: 3.543871E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.009 | TFLOPs: 25.73 |
7:  iteration    11760/   37905 | consumed samples:      3010560 | consumed tokens:   6165626880 | elapsed time per iteration (s): 0.26 | learning rate: 1.621E-05 | global batch size:   256 | lm loss: 3.589404E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.133 | TFLOPs: 24.84 |
7:  iteration    11770/   37905 | consumed samples:      3013120 | consumed tokens:   6170869760 | elapsed time per iteration (s): 0.28 | learning rate: 1.621E-05 | global batch size:   256 | lm loss: 3.602056E+00 | grad norm: 0.809 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.268 | TFLOPs: 23.70 |
7:  iteration    11780/   37905 | consumed samples:      3015680 | consumed tokens:   6176112640 | elapsed time per iteration (s): 0.24 | learning rate: 1.620E-05 | global batch size:   256 | lm loss: 3.557703E+00 | grad norm: 0.745 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.556 | TFLOPs: 26.94 |
7:  iteration    11790/   37905 | consumed samples:      3018240 | consumed tokens:   6181355520 | elapsed time per iteration (s): 0.23 | learning rate: 1.620E-05 | global batch size:   256 | lm loss: 3.569611E+00 | grad norm: 0.834 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.682 | TFLOPs: 28.47 |
7:  iteration    11800/   37905 | consumed samples:      3020800 | consumed tokens:   6186598400 | elapsed time per iteration (s): 0.27 | learning rate: 1.619E-05 | global batch size:   256 | lm loss: 3.576739E+00 | grad norm: 0.677 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.608 | TFLOPs: 24.55 |
7:  iteration    11810/   37905 | consumed samples:      3023360 | consumed tokens:   6191841280 | elapsed time per iteration (s): 0.26 | learning rate: 1.618E-05 | global batch size:   256 | lm loss: 3.557909E+00 | grad norm: 0.814 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 979.233 | TFLOPs: 24.95 |
7:  iteration    11820/   37905 | consumed samples:      3025920 | consumed tokens:   6197084160 | elapsed time per iteration (s): 0.28 | learning rate: 1.618E-05 | global batch size:   256 | lm loss: 3.573227E+00 | grad norm: 0.890 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.590 | TFLOPs: 23.27 |
7:  iteration    11830/   37905 | consumed samples:      3028480 | consumed tokens:   6202327040 | elapsed time per iteration (s): 0.24 | learning rate: 1.617E-05 | global batch size:   256 | lm loss: 3.507901E+00 | grad norm: 1.112 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.382 | TFLOPs: 27.68 |
7:  iteration    11840/   37905 | consumed samples:      3031040 | consumed tokens:   6207569920 | elapsed time per iteration (s): 0.30 | learning rate: 1.617E-05 | global batch size:   256 | lm loss: 3.558924E+00 | grad norm: 0.902 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 867.756 | TFLOPs: 22.11 |
7:  iteration    11850/   37905 | consumed samples:      3033600 | consumed tokens:   6212812800 | elapsed time per iteration (s): 0.24 | learning rate: 1.616E-05 | global batch size:   256 | lm loss: 3.596153E+00 | grad norm: 0.780 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.928 | TFLOPs: 27.54 |
7:  iteration    11860/   37905 | consumed samples:      3036160 | consumed tokens:   6218055680 | elapsed time per iteration (s): 0.25 | learning rate: 1.615E-05 | global batch size:   256 | lm loss: 3.516579E+00 | grad norm: 0.737 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.192 | TFLOPs: 26.24 |
7:  iteration    11870/   37905 | consumed samples:      3038720 | consumed tokens:   6223298560 | elapsed time per iteration (s): 0.24 | learning rate: 1.615E-05 | global batch size:   256 | lm loss: 3.574623E+00 | grad norm: 0.922 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.061 | TFLOPs: 26.62 |
7:  iteration    11880/   37905 | consumed samples:      3041280 | consumed tokens:   6228541440 | elapsed time per iteration (s): 0.23 | learning rate: 1.614E-05 | global batch size:   256 | lm loss: 3.565652E+00 | grad norm: 0.866 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.956 | TFLOPs: 28.48 |
7:  iteration    11890/   37905 | consumed samples:      3043840 | consumed tokens:   6233784320 | elapsed time per iteration (s): 0.28 | learning rate: 1.613E-05 | global batch size:   256 | lm loss: 3.593166E+00 | grad norm: 0.807 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 918.828 | TFLOPs: 23.41 |
7:  iteration    11900/   37905 | consumed samples:      3046400 | consumed tokens:   6239027200 | elapsed time per iteration (s): 0.23 | learning rate: 1.613E-05 | global batch size:   256 | lm loss: 3.536663E+00 | grad norm: 0.703 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.069 | TFLOPs: 28.48 |
7:  iteration    11910/   37905 | consumed samples:      3048960 | consumed tokens:   6244270080 | elapsed time per iteration (s): 0.27 | learning rate: 1.612E-05 | global batch size:   256 | lm loss: 3.606077E+00 | grad norm: 0.699 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.315 | TFLOPs: 24.39 |
7:  iteration    11920/   37905 | consumed samples:      3051520 | consumed tokens:   6249512960 | elapsed time per iteration (s): 0.23 | learning rate: 1.612E-05 | global batch size:   256 | lm loss: 3.603931E+00 | grad norm: 0.887 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.160 | TFLOPs: 28.54 |
7:  iteration    11930/   37905 | consumed samples:      3054080 | consumed tokens:   6254755840 | elapsed time per iteration (s): 0.27 | learning rate: 1.611E-05 | global batch size:   256 | lm loss: 3.594352E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.086 | TFLOPs: 24.38 |
7:  iteration    11940/   37905 | consumed samples:      3056640 | consumed tokens:   6259998720 | elapsed time per iteration (s): 0.32 | learning rate: 1.610E-05 | global batch size:   256 | lm loss: 3.596327E+00 | grad norm: 0.841 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 806.348 | TFLOPs: 20.54 |
7:  iteration    11950/   37905 | consumed samples:      3059200 | consumed tokens:   6265241600 | elapsed time per iteration (s): 0.26 | learning rate: 1.610E-05 | global batch size:   256 | lm loss: 3.530597E+00 | grad norm: 0.789 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.293 | TFLOPs: 25.23 |
7:  iteration    11960/   37905 | consumed samples:      3061760 | consumed tokens:   6270484480 | elapsed time per iteration (s): 0.23 | learning rate: 1.609E-05 | global batch size:   256 | lm loss: 3.570877E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.370 | TFLOPs: 28.29 |
7:  iteration    11970/   37905 | consumed samples:      3064320 | consumed tokens:   6275727360 | elapsed time per iteration (s): 0.25 | learning rate: 1.608E-05 | global batch size:   256 | lm loss: 3.562087E+00 | grad norm: 0.851 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.330 | TFLOPs: 25.87 |
7:  iteration    11980/   37905 | consumed samples:      3066880 | consumed tokens:   6280970240 | elapsed time per iteration (s): 0.24 | learning rate: 1.608E-05 | global batch size:   256 | lm loss: 3.598000E+00 | grad norm: 0.700 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.193 | TFLOPs: 27.67 |
7:  iteration    11990/   37905 | consumed samples:      3069440 | consumed tokens:   6286213120 | elapsed time per iteration (s): 0.29 | learning rate: 1.607E-05 | global batch size:   256 | lm loss: 3.563493E+00 | grad norm: 0.773 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.334 | TFLOPs: 22.53 |
0: [2022-11-28 16:04:29,020] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[1.6066300925507845e-05, 1.6066300925507845e-05, 1.6066300925507845e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    12000/   37905 | consumed samples:      3072000 | consumed tokens:   6291456000 | elapsed time per iteration (s): 0.23 | learning rate: 1.607E-05 | global batch size:   256 | lm loss: 3.601271E+00 | grad norm: 0.768 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.690 | TFLOPs: 28.27 |
0: steps: 12000 loss: 3.6683 iter time (s): 0.254 samples/sec: 1007.468
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 12000 | lm loss value: 3.475102E+00 | lm loss PPL: 3.230113E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   12000 to checkpoints_83slr
0: [2022-11-28 16:04:29,109] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step12000 is begin to save!
0: [2022-11-28 16:04:29,113] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step12000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:04:29,183] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:04:29,183] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step12000/layer_03-model_00-model_states.pt...
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0: [2022-11-28 16:04:29,336] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt.
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3: [2022-11-28 16:04:29,336] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt
6: [2022-11-28 16:04:29,336] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt
3: [2022-11-28 16:04:29,336] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
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4: [2022-11-28 16:04:29,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
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7: [2022-11-28 16:04:29,345] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:04:29,345] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
6: [2022-11-28 16:04:29,345] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
7: [2022-11-28 16:04:29,345] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
0: [2022-11-28 16:04:29,345] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
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3: [2022-11-28 16:04:29,345] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:04:29,345] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
3: [2022-11-28 16:04:29,345] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
0: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:04:29,346] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
0: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
7: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:04:29,346] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
1: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:04:29,346] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
0: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
0: [2022-11-28 16:04:29,346] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
0: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
6: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:04:29,347] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt
7: [2022-11-28 16:04:29,346] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
7: [2022-11-28 16:04:29,346] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
1: [2022-11-28 16:04:29,347] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt
6: [2022-11-28 16:04:29,347] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
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3: [2022-11-28 16:04:29,347] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:04:29,347] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
3: [2022-11-28 16:04:29,347] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
4: [2022-11-28 16:04:29,347] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:04:29,347] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:04:29,347] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
2: [2022-11-28 16:04:29,347] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 16:04:29,347] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
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2: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:04:29,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
6: [2022-11-28 16:04:29,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
1: [2022-11-28 16:04:29,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt
2: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
5: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
3: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
5: [2022-11-28 16:04:29,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt
3: [2022-11-28 16:04:29,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 16:04:29,348] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
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5: [2022-11-28 16:04:29,349] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:04:29,349] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt
5: [2022-11-28 16:04:29,349] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
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7: [2022-11-28 16:04:29,350] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step12000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
7: [2022-11-28 16:04:29,350] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now!
0:   successfully saved checkpoint at iteration   12000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 243.88
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7:  iteration    12120/   37905 | consumed samples:      3102720 | consumed tokens:   6354370560 | elapsed time per iteration (s): 0.26 | learning rate: 1.599E-05 | global batch size:   256 | lm loss: 3.576482E+00 | grad norm: 0.723 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.390 | TFLOPs: 24.72 |
7:  iteration    12130/   37905 | consumed samples:      3105280 | consumed tokens:   6359613440 | elapsed time per iteration (s): 0.24 | learning rate: 1.599E-05 | global batch size:   256 | lm loss: 3.584286E+00 | grad norm: 0.744 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.240 | TFLOPs: 26.70 |
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7:  iteration    12150/   37905 | consumed samples:      3110400 | consumed tokens:   6370099200 | elapsed time per iteration (s): 0.28 | learning rate: 1.597E-05 | global batch size:   256 | lm loss: 3.584503E+00 | grad norm: 0.699 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.172 | TFLOPs: 23.37 |
7:  iteration    12160/   37905 | consumed samples:      3112960 | consumed tokens:   6375342080 | elapsed time per iteration (s): 0.26 | learning rate: 1.597E-05 | global batch size:   256 | lm loss: 3.541592E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.171 | TFLOPs: 25.28 |
7:  iteration    12170/   37905 | consumed samples:      3115520 | consumed tokens:   6380584960 | elapsed time per iteration (s): 0.24 | learning rate: 1.596E-05 | global batch size:   256 | lm loss: 3.499859E+00 | grad norm: 0.758 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.303 | TFLOPs: 27.22 |
7:  iteration    12180/   37905 | consumed samples:      3118080 | consumed tokens:   6385827840 | elapsed time per iteration (s): 0.24 | learning rate: 1.595E-05 | global batch size:   256 | lm loss: 3.537291E+00 | grad norm: 0.836 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.420 | TFLOPs: 26.71 |
7:  iteration    12190/   37905 | consumed samples:      3120640 | consumed tokens:   6391070720 | elapsed time per iteration (s): 0.26 | learning rate: 1.595E-05 | global batch size:   256 | lm loss: 3.544550E+00 | grad norm: 0.861 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.741 | TFLOPs: 25.32 |
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7:  iteration    12210/   37905 | consumed samples:      3125760 | consumed tokens:   6401556480 | elapsed time per iteration (s): 0.27 | learning rate: 1.593E-05 | global batch size:   256 | lm loss: 3.581152E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.911 | TFLOPs: 24.50 |
7:  iteration    12220/   37905 | consumed samples:      3128320 | consumed tokens:   6406799360 | elapsed time per iteration (s): 0.25 | learning rate: 1.593E-05 | global batch size:   256 | lm loss: 3.568820E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.223 | TFLOPs: 26.02 |
7:  iteration    12230/   37905 | consumed samples:      3130880 | consumed tokens:   6412042240 | elapsed time per iteration (s): 0.25 | learning rate: 1.592E-05 | global batch size:   256 | lm loss: 3.553018E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.485 | TFLOPs: 25.67 |
7:  iteration    12240/   37905 | consumed samples:      3133440 | consumed tokens:   6417285120 | elapsed time per iteration (s): 0.25 | learning rate: 1.592E-05 | global batch size:   256 | lm loss: 3.516156E+00 | grad norm: 0.705 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1036.814 | TFLOPs: 26.41 |
7:  iteration    12250/   37905 | consumed samples:      3136000 | consumed tokens:   6422528000 | elapsed time per iteration (s): 0.28 | learning rate: 1.591E-05 | global batch size:   256 | lm loss: 3.562973E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 922.930 | TFLOPs: 23.51 |
7:  iteration    12260/   37905 | consumed samples:      3138560 | consumed tokens:   6427770880 | elapsed time per iteration (s): 0.26 | learning rate: 1.590E-05 | global batch size:   256 | lm loss: 3.568208E+00 | grad norm: 0.858 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.039 | TFLOPs: 25.35 |
7:  iteration    12270/   37905 | consumed samples:      3141120 | consumed tokens:   6433013760 | elapsed time per iteration (s): 0.23 | learning rate: 1.590E-05 | global batch size:   256 | lm loss: 3.555484E+00 | grad norm: 0.754 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.160 | TFLOPs: 27.82 |
7:  iteration    12280/   37905 | consumed samples:      3143680 | consumed tokens:   6438256640 | elapsed time per iteration (s): 0.27 | learning rate: 1.589E-05 | global batch size:   256 | lm loss: 3.565466E+00 | grad norm: 0.778 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.109 | TFLOPs: 24.13 |
7:  iteration    12290/   37905 | consumed samples:      3146240 | consumed tokens:   6443499520 | elapsed time per iteration (s): 0.25 | learning rate: 1.588E-05 | global batch size:   256 | lm loss: 3.570797E+00 | grad norm: 0.727 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.326 | TFLOPs: 26.02 |
7:  iteration    12300/   37905 | consumed samples:      3148800 | consumed tokens:   6448742400 | elapsed time per iteration (s): 0.27 | learning rate: 1.588E-05 | global batch size:   256 | lm loss: 3.552150E+00 | grad norm: 1.058 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.788 | TFLOPs: 24.09 |
7:  iteration    12310/   37905 | consumed samples:      3151360 | consumed tokens:   6453985280 | elapsed time per iteration (s): 0.24 | learning rate: 1.587E-05 | global batch size:   256 | lm loss: 3.578223E+00 | grad norm: 0.724 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.230 | TFLOPs: 26.63 |
7:  iteration    12320/   37905 | consumed samples:      3153920 | consumed tokens:   6459228160 | elapsed time per iteration (s): 0.26 | learning rate: 1.587E-05 | global batch size:   256 | lm loss: 3.548431E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.965 | TFLOPs: 25.37 |
7:  iteration    12330/   37905 | consumed samples:      3156480 | consumed tokens:   6464471040 | elapsed time per iteration (s): 0.24 | learning rate: 1.586E-05 | global batch size:   256 | lm loss: 3.591529E+00 | grad norm: 0.792 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.688 | TFLOPs: 27.73 |
7:  iteration    12340/   37905 | consumed samples:      3159040 | consumed tokens:   6469713920 | elapsed time per iteration (s): 0.25 | learning rate: 1.585E-05 | global batch size:   256 | lm loss: 3.581330E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.374 | TFLOPs: 26.61 |
7:  iteration    12350/   37905 | consumed samples:      3161600 | consumed tokens:   6474956800 | elapsed time per iteration (s): 0.24 | learning rate: 1.585E-05 | global batch size:   256 | lm loss: 3.550956E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.730 | TFLOPs: 27.15 |
7:  iteration    12360/   37905 | consumed samples:      3164160 | consumed tokens:   6480199680 | elapsed time per iteration (s): 0.26 | learning rate: 1.584E-05 | global batch size:   256 | lm loss: 3.561371E+00 | grad norm: 0.733 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.367 | TFLOPs: 25.18 |
7:  iteration    12370/   37905 | consumed samples:      3166720 | consumed tokens:   6485442560 | elapsed time per iteration (s): 0.24 | learning rate: 1.583E-05 | global batch size:   256 | lm loss: 3.555401E+00 | grad norm: 0.674 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.355 | TFLOPs: 26.66 |
7:  iteration    12380/   37905 | consumed samples:      3169280 | consumed tokens:   6490685440 | elapsed time per iteration (s): 0.26 | learning rate: 1.583E-05 | global batch size:   256 | lm loss: 3.565618E+00 | grad norm: 0.781 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.869 | TFLOPs: 25.50 |
7:  iteration    12390/   37905 | consumed samples:      3171840 | consumed tokens:   6495928320 | elapsed time per iteration (s): 0.23 | learning rate: 1.582E-05 | global batch size:   256 | lm loss: 3.522343E+00 | grad norm: 0.896 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.980 | TFLOPs: 28.61 |
7:  iteration    12400/   37905 | consumed samples:      3174400 | consumed tokens:   6501171200 | elapsed time per iteration (s): 0.24 | learning rate: 1.581E-05 | global batch size:   256 | lm loss: 3.592183E+00 | grad norm: 0.805 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1050.096 | TFLOPs: 26.75 |
7:  iteration    12410/   37905 | consumed samples:      3176960 | consumed tokens:   6506414080 | elapsed time per iteration (s): 0.26 | learning rate: 1.581E-05 | global batch size:   256 | lm loss: 3.589013E+00 | grad norm: 0.789 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.480 | TFLOPs: 24.62 |
7:  iteration    12420/   37905 | consumed samples:      3179520 | consumed tokens:   6511656960 | elapsed time per iteration (s): 0.24 | learning rate: 1.580E-05 | global batch size:   256 | lm loss: 3.546516E+00 | grad norm: 0.738 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.141 | TFLOPs: 26.98 |
7:  iteration    12430/   37905 | consumed samples:      3182080 | consumed tokens:   6516899840 | elapsed time per iteration (s): 0.29 | learning rate: 1.580E-05 | global batch size:   256 | lm loss: 3.559112E+00 | grad norm: 0.814 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.876 | TFLOPs: 22.39 |
7:  iteration    12440/   37905 | consumed samples:      3184640 | consumed tokens:   6522142720 | elapsed time per iteration (s): 0.26 | learning rate: 1.579E-05 | global batch size:   256 | lm loss: 3.537771E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.052 | TFLOPs: 25.40 |
7:  iteration    12450/   37905 | consumed samples:      3187200 | consumed tokens:   6527385600 | elapsed time per iteration (s): 0.28 | learning rate: 1.578E-05 | global batch size:   256 | lm loss: 3.565923E+00 | grad norm: 0.672 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.006 | TFLOPs: 23.11 |
7:  iteration    12460/   37905 | consumed samples:      3189760 | consumed tokens:   6532628480 | elapsed time per iteration (s): 0.25 | learning rate: 1.578E-05 | global batch size:   256 | lm loss: 3.587328E+00 | grad norm: 0.705 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.280 | TFLOPs: 25.97 |
7:  iteration    12470/   37905 | consumed samples:      3192320 | consumed tokens:   6537871360 | elapsed time per iteration (s): 0.27 | learning rate: 1.577E-05 | global batch size:   256 | lm loss: 3.558976E+00 | grad norm: 0.720 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.174 | TFLOPs: 24.46 |
7:  iteration    12480/   37905 | consumed samples:      3194880 | consumed tokens:   6543114240 | elapsed time per iteration (s): 0.25 | learning rate: 1.576E-05 | global batch size:   256 | lm loss: 3.519494E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.370 | TFLOPs: 26.07 |
7:  iteration    12490/   37905 | consumed samples:      3197440 | consumed tokens:   6548357120 | elapsed time per iteration (s): 0.26 | learning rate: 1.576E-05 | global batch size:   256 | lm loss: 3.519581E+00 | grad norm: 0.986 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.103 | TFLOPs: 24.66 |
7:  iteration    12500/   37905 | consumed samples:      3200000 | consumed tokens:   6553600000 | elapsed time per iteration (s): 0.24 | learning rate: 1.575E-05 | global batch size:   256 | lm loss: 3.536340E+00 | grad norm: 0.772 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.238 | TFLOPs: 26.93 |
7:  iteration    12510/   37905 | consumed samples:      3202560 | consumed tokens:   6558842880 | elapsed time per iteration (s): 0.29 | learning rate: 1.574E-05 | global batch size:   256 | lm loss: 3.521554E+00 | grad norm: 0.737 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.673 | TFLOPs: 22.54 |
7:  iteration    12520/   37905 | consumed samples:      3205120 | consumed tokens:   6564085760 | elapsed time per iteration (s): 0.23 | learning rate: 1.574E-05 | global batch size:   256 | lm loss: 3.563398E+00 | grad norm: 0.822 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.514 | TFLOPs: 28.14 |
7:  iteration    12530/   37905 | consumed samples:      3207680 | consumed tokens:   6569328640 | elapsed time per iteration (s): 0.26 | learning rate: 1.573E-05 | global batch size:   256 | lm loss: 3.531787E+00 | grad norm: 0.733 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.102 | TFLOPs: 24.71 |
7:  iteration    12540/   37905 | consumed samples:      3210240 | consumed tokens:   6574571520 | elapsed time per iteration (s): 0.26 | learning rate: 1.572E-05 | global batch size:   256 | lm loss: 3.506153E+00 | grad norm: 0.790 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.577 | TFLOPs: 25.36 |
7:  iteration    12550/   37905 | consumed samples:      3212800 | consumed tokens:   6579814400 | elapsed time per iteration (s): 0.25 | learning rate: 1.572E-05 | global batch size:   256 | lm loss: 3.550288E+00 | grad norm: 0.903 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.989 | TFLOPs: 26.52 |
7:  iteration    12560/   37905 | consumed samples:      3215360 | consumed tokens:   6585057280 | elapsed time per iteration (s): 0.25 | learning rate: 1.571E-05 | global batch size:   256 | lm loss: 3.593994E+00 | grad norm: 0.713 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.215 | TFLOPs: 26.42 |
7:  iteration    12570/   37905 | consumed samples:      3217920 | consumed tokens:   6590300160 | elapsed time per iteration (s): 0.25 | learning rate: 1.571E-05 | global batch size:   256 | lm loss: 3.548111E+00 | grad norm: 0.852 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.371 | TFLOPs: 25.59 |
7:  iteration    12580/   37905 | consumed samples:      3220480 | consumed tokens:   6595543040 | elapsed time per iteration (s): 0.25 | learning rate: 1.570E-05 | global batch size:   256 | lm loss: 3.543346E+00 | grad norm: 0.743 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.655 | TFLOPs: 26.28 |
7:  iteration    12590/   37905 | consumed samples:      3223040 | consumed tokens:   6600785920 | elapsed time per iteration (s): 0.24 | learning rate: 1.569E-05 | global batch size:   256 | lm loss: 3.576168E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.097 | TFLOPs: 27.01 |
7:  iteration    12600/   37905 | consumed samples:      3225600 | consumed tokens:   6606028800 | elapsed time per iteration (s): 0.30 | learning rate: 1.569E-05 | global batch size:   256 | lm loss: 3.535212E+00 | grad norm: 0.822 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.073 | TFLOPs: 21.50 |
7:  iteration    12610/   37905 | consumed samples:      3228160 | consumed tokens:   6611271680 | elapsed time per iteration (s): 0.23 | learning rate: 1.568E-05 | global batch size:   256 | lm loss: 3.539199E+00 | grad norm: 0.847 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.064 | TFLOPs: 28.02 |
7:  iteration    12620/   37905 | consumed samples:      3230720 | consumed tokens:   6616514560 | elapsed time per iteration (s): 0.28 | learning rate: 1.567E-05 | global batch size:   256 | lm loss: 3.516629E+00 | grad norm: 0.770 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 922.993 | TFLOPs: 23.51 |
7:  iteration    12630/   37905 | consumed samples:      3233280 | consumed tokens:   6621757440 | elapsed time per iteration (s): 0.25 | learning rate: 1.567E-05 | global batch size:   256 | lm loss: 3.587833E+00 | grad norm: 0.733 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.324 | TFLOPs: 26.50 |
7:  iteration    12640/   37905 | consumed samples:      3235840 | consumed tokens:   6627000320 | elapsed time per iteration (s): 0.25 | learning rate: 1.566E-05 | global batch size:   256 | lm loss: 3.548621E+00 | grad norm: 0.783 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.725 | TFLOPs: 25.90 |
7:  iteration    12650/   37905 | consumed samples:      3238400 | consumed tokens:   6632243200 | elapsed time per iteration (s): 0.25 | learning rate: 1.565E-05 | global batch size:   256 | lm loss: 3.524517E+00 | grad norm: 0.721 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.097 | TFLOPs: 26.57 |
7:  iteration    12660/   37905 | consumed samples:      3240960 | consumed tokens:   6637486080 | elapsed time per iteration (s): 0.28 | learning rate: 1.565E-05 | global batch size:   256 | lm loss: 3.540423E+00 | grad norm: 0.724 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.644 | TFLOPs: 23.02 |
7:  iteration    12670/   37905 | consumed samples:      3243520 | consumed tokens:   6642728960 | elapsed time per iteration (s): 0.24 | learning rate: 1.564E-05 | global batch size:   256 | lm loss: 3.531018E+00 | grad norm: 0.683 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.075 | TFLOPs: 27.54 |
7:  iteration    12680/   37905 | consumed samples:      3246080 | consumed tokens:   6647971840 | elapsed time per iteration (s): 0.24 | learning rate: 1.563E-05 | global batch size:   256 | lm loss: 3.576465E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.056 | TFLOPs: 26.88 |
7:  iteration    12690/   37905 | consumed samples:      3248640 | consumed tokens:   6653214720 | elapsed time per iteration (s): 0.24 | learning rate: 1.563E-05 | global batch size:   256 | lm loss: 3.529286E+00 | grad norm: 0.685 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.194 | TFLOPs: 26.73 |
7:  iteration    12700/   37905 | consumed samples:      3251200 | consumed tokens:   6658457600 | elapsed time per iteration (s): 0.24 | learning rate: 1.562E-05 | global batch size:   256 | lm loss: 3.541958E+00 | grad norm: 0.641 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.253 | TFLOPs: 26.78 |
7:  iteration    12710/   37905 | consumed samples:      3253760 | consumed tokens:   6663700480 | elapsed time per iteration (s): 0.27 | learning rate: 1.562E-05 | global batch size:   256 | lm loss: 3.527370E+00 | grad norm: 0.602 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.824 | TFLOPs: 23.84 |
7:  iteration    12720/   37905 | consumed samples:      3256320 | consumed tokens:   6668943360 | elapsed time per iteration (s): 0.24 | learning rate: 1.561E-05 | global batch size:   256 | lm loss: 3.513378E+00 | grad norm: 0.685 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1073.376 | TFLOPs: 27.34 |
7:  iteration    12730/   37905 | consumed samples:      3258880 | consumed tokens:   6674186240 | elapsed time per iteration (s): 0.26 | learning rate: 1.560E-05 | global batch size:   256 | lm loss: 3.516734E+00 | grad norm: 0.745 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.915 | TFLOPs: 25.40 |
7:  iteration    12740/   37905 | consumed samples:      3261440 | consumed tokens:   6679429120 | elapsed time per iteration (s): 0.26 | learning rate: 1.560E-05 | global batch size:   256 | lm loss: 3.530965E+00 | grad norm: 0.898 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.952 | TFLOPs: 25.07 |
7:  iteration    12750/   37905 | consumed samples:      3264000 | consumed tokens:   6684672000 | elapsed time per iteration (s): 0.26 | learning rate: 1.559E-05 | global batch size:   256 | lm loss: 3.567290E+00 | grad norm: 0.798 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.457 | TFLOPs: 25.51 |
7:  iteration    12760/   37905 | consumed samples:      3266560 | consumed tokens:   6689914880 | elapsed time per iteration (s): 0.25 | learning rate: 1.558E-05 | global batch size:   256 | lm loss: 3.533755E+00 | grad norm: 0.704 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.868 | TFLOPs: 25.98 |
7:  iteration    12770/   37905 | consumed samples:      3269120 | consumed tokens:   6695157760 | elapsed time per iteration (s): 0.25 | learning rate: 1.558E-05 | global batch size:   256 | lm loss: 3.525968E+00 | grad norm: 0.697 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.174 | TFLOPs: 25.58 |
7:  iteration    12780/   37905 | consumed samples:      3271680 | consumed tokens:   6700400640 | elapsed time per iteration (s): 0.24 | learning rate: 1.557E-05 | global batch size:   256 | lm loss: 3.536674E+00 | grad norm: 0.680 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.832 | TFLOPs: 26.92 |
7:  iteration    12790/   37905 | consumed samples:      3274240 | consumed tokens:   6705643520 | elapsed time per iteration (s): 0.24 | learning rate: 1.556E-05 | global batch size:   256 | lm loss: 3.527562E+00 | grad norm: 0.896 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.827 | TFLOPs: 27.43 |
7:  iteration    12800/   37905 | consumed samples:      3276800 | consumed tokens:   6710886400 | elapsed time per iteration (s): 0.28 | learning rate: 1.556E-05 | global batch size:   256 | lm loss: 3.561030E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.125 | TFLOPs: 23.47 |
7:  iteration    12810/   37905 | consumed samples:      3279360 | consumed tokens:   6716129280 | elapsed time per iteration (s): 0.24 | learning rate: 1.555E-05 | global batch size:   256 | lm loss: 3.533557E+00 | grad norm: 0.728 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.944 | TFLOPs: 26.67 |
7:  iteration    12820/   37905 | consumed samples:      3281920 | consumed tokens:   6721372160 | elapsed time per iteration (s): 0.24 | learning rate: 1.554E-05 | global batch size:   256 | lm loss: 3.530172E+00 | grad norm: 0.716 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.468 | TFLOPs: 27.53 |
7:  iteration    12830/   37905 | consumed samples:      3284480 | consumed tokens:   6726615040 | elapsed time per iteration (s): 0.24 | learning rate: 1.554E-05 | global batch size:   256 | lm loss: 3.539274E+00 | grad norm: 0.760 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.223 | TFLOPs: 27.19 |
7:  iteration    12840/   37905 | consumed samples:      3287040 | consumed tokens:   6731857920 | elapsed time per iteration (s): 0.25 | learning rate: 1.553E-05 | global batch size:   256 | lm loss: 3.528480E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.379 | TFLOPs: 26.35 |
7:  iteration    12850/   37905 | consumed samples:      3289600 | consumed tokens:   6737100800 | elapsed time per iteration (s): 0.26 | learning rate: 1.552E-05 | global batch size:   256 | lm loss: 3.484835E+00 | grad norm: 0.772 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.854 | TFLOPs: 25.55 |
7:  iteration    12860/   37905 | consumed samples:      3292160 | consumed tokens:   6742343680 | elapsed time per iteration (s): 0.25 | learning rate: 1.552E-05 | global batch size:   256 | lm loss: 3.519939E+00 | grad norm: 0.706 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.429 | TFLOPs: 25.72 |
7:  iteration    12870/   37905 | consumed samples:      3294720 | consumed tokens:   6747586560 | elapsed time per iteration (s): 0.25 | learning rate: 1.551E-05 | global batch size:   256 | lm loss: 3.515454E+00 | grad norm: 0.802 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.001 | TFLOPs: 26.09 |
7:  iteration    12880/   37905 | consumed samples:      3297280 | consumed tokens:   6752829440 | elapsed time per iteration (s): 0.27 | learning rate: 1.551E-05 | global batch size:   256 | lm loss: 3.560876E+00 | grad norm: 0.677 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.855 | TFLOPs: 24.22 |
7:  iteration    12890/   37905 | consumed samples:      3299840 | consumed tokens:   6758072320 | elapsed time per iteration (s): 0.26 | learning rate: 1.550E-05 | global batch size:   256 | lm loss: 3.551134E+00 | grad norm: 0.762 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.529 | TFLOPs: 24.88 |
7:  iteration    12900/   37905 | consumed samples:      3302400 | consumed tokens:   6763315200 | elapsed time per iteration (s): 0.24 | learning rate: 1.549E-05 | global batch size:   256 | lm loss: 3.550871E+00 | grad norm: 0.732 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.217 | TFLOPs: 26.96 |
7:  iteration    12910/   37905 | consumed samples:      3304960 | consumed tokens:   6768558080 | elapsed time per iteration (s): 0.27 | learning rate: 1.549E-05 | global batch size:   256 | lm loss: 3.534285E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.096 | TFLOPs: 24.56 |
7:  iteration    12920/   37905 | consumed samples:      3307520 | consumed tokens:   6773800960 | elapsed time per iteration (s): 0.25 | learning rate: 1.548E-05 | global batch size:   256 | lm loss: 3.583469E+00 | grad norm: 0.717 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.082 | TFLOPs: 25.86 |
7:  iteration    12930/   37905 | consumed samples:      3310080 | consumed tokens:   6779043840 | elapsed time per iteration (s): 0.24 | learning rate: 1.547E-05 | global batch size:   256 | lm loss: 3.549580E+00 | grad norm: 0.774 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1063.842 | TFLOPs: 27.10 |
7:  iteration    12940/   37905 | consumed samples:      3312640 | consumed tokens:   6784286720 | elapsed time per iteration (s): 0.26 | learning rate: 1.547E-05 | global batch size:   256 | lm loss: 3.554065E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.462 | TFLOPs: 24.70 |
7:  iteration    12950/   37905 | consumed samples:      3315200 | consumed tokens:   6789529600 | elapsed time per iteration (s): 0.23 | learning rate: 1.546E-05 | global batch size:   256 | lm loss: 3.523740E+00 | grad norm: 0.671 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.205 | TFLOPs: 27.82 |
7:  iteration    12960/   37905 | consumed samples:      3317760 | consumed tokens:   6794772480 | elapsed time per iteration (s): 0.28 | learning rate: 1.545E-05 | global batch size:   256 | lm loss: 3.500649E+00 | grad norm: 0.786 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.600 | TFLOPs: 23.38 |
7:  iteration    12970/   37905 | consumed samples:      3320320 | consumed tokens:   6800015360 | elapsed time per iteration (s): 0.24 | learning rate: 1.545E-05 | global batch size:   256 | lm loss: 3.520094E+00 | grad norm: 0.788 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.787 | TFLOPs: 27.15 |
7:  iteration    12980/   37905 | consumed samples:      3322880 | consumed tokens:   6805258240 | elapsed time per iteration (s): 0.25 | learning rate: 1.544E-05 | global batch size:   256 | lm loss: 3.549035E+00 | grad norm: 0.834 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.258 | TFLOPs: 25.71 |
7:  iteration    12990/   37905 | consumed samples:      3325440 | consumed tokens:   6810501120 | elapsed time per iteration (s): 0.24 | learning rate: 1.543E-05 | global batch size:   256 | lm loss: 3.489043E+00 | grad norm: 0.904 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.371 | TFLOPs: 27.68 |
7:  iteration    13000/   37905 | consumed samples:      3328000 | consumed tokens:   6815744000 | elapsed time per iteration (s): 0.27 | learning rate: 1.543E-05 | global batch size:   256 | lm loss: 3.544358E+00 | grad norm: 0.848 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.467 | TFLOPs: 24.34 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 13000 | lm loss value: 3.361444E+00 | lm loss PPL: 2.883080E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   13000 to checkpoints_83slr
0: [2022-11-28 16:08:44,468] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step13000 is begin to save!
0: [2022-11-28 16:08:44,471] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:08:44,544] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 16:08:44,567] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 16:08:44,600] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/layer_08-model_00-model_states.pt...
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0: [2022-11-28 16:08:44,622] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/layer_10-model_00-model_states.pt...
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0: [2022-11-28 16:08:44,633] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/layer_11-model_00-model_states.pt...
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0: [2022-11-28 16:08:44,655] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/layer_14-model_00-model_states.pt...
0: [2022-11-28 16:08:44,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/layer_14-model_00-model_states.pt.
0: [2022-11-28 16:08:44,657] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step13000/mp_rank_00_model_states.pt
0: [2022-11-28 16:08:44,657] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/mp_rank_00_model_states.pt...
0: [2022-11-28 16:08:44,659] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/mp_rank_00_model_states.pt.
0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
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6: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
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1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt...
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0: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:08:44,676] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step13000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:08:44,695] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:08:44,695] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:08:44,695] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt
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6: [2022-11-28 16:08:44,702] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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4: [2022-11-28 16:08:44,702] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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0: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
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0: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
0: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt
1: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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2: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
5: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt
5: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
6: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt
2: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
7: [2022-11-28 16:08:44,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt
6: [2022-11-28 16:08:44,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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3: [2022-11-28 16:08:44,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:08:44,704] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
3: [2022-11-28 16:08:44,704] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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4: [2022-11-28 16:08:44,704] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt
4: [2022-11-28 16:08:44,704] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
0: [2022-11-28 16:08:44,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
5: [2022-11-28 16:08:44,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
5: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt
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2: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
2: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
7: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
7: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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2: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
2: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
1: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
0: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
1: [2022-11-28 16:08:44,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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5: [2022-11-28 16:08:44,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt
5: [2022-11-28 16:08:44,706] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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2: [2022-11-28 16:08:44,706] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
2: [2022-11-28 16:08:44,706] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
1: [2022-11-28 16:08:44,706] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:08:44,707] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt
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4: [2022-11-28 16:08:44,707] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
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3: [2022-11-28 16:08:44,708] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 16:08:44,708] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
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6: [2022-11-28 16:08:44,709] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step13000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
6: [2022-11-28 16:08:44,709] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now!
0:   successfully saved checkpoint at iteration   13000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 245.76
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7:  iteration    13130/   37905 | consumed samples:      3361280 | consumed tokens:   6883901440 | elapsed time per iteration (s): 0.30 | learning rate: 1.534E-05 | global batch size:   256 | lm loss: 3.501075E+00 | grad norm: 0.662 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 866.019 | TFLOPs: 22.06 |
7:  iteration    13140/   37905 | consumed samples:      3363840 | consumed tokens:   6889144320 | elapsed time per iteration (s): 0.23 | learning rate: 1.533E-05 | global batch size:   256 | lm loss: 3.484220E+00 | grad norm: 0.682 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.800 | TFLOPs: 28.17 |
7:  iteration    13150/   37905 | consumed samples:      3366400 | consumed tokens:   6894387200 | elapsed time per iteration (s): 0.26 | learning rate: 1.533E-05 | global batch size:   256 | lm loss: 3.536457E+00 | grad norm: 0.709 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.902 | TFLOPs: 24.99 |
7:  iteration    13160/   37905 | consumed samples:      3368960 | consumed tokens:   6899630080 | elapsed time per iteration (s): 0.24 | learning rate: 1.532E-05 | global batch size:   256 | lm loss: 3.531590E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.906 | TFLOPs: 27.21 |
7:  iteration    13170/   37905 | consumed samples:      3371520 | consumed tokens:   6904872960 | elapsed time per iteration (s): 0.24 | learning rate: 1.531E-05 | global batch size:   256 | lm loss: 3.528507E+00 | grad norm: 0.734 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.216 | TFLOPs: 26.68 |
7:  iteration    13180/   37905 | consumed samples:      3374080 | consumed tokens:   6910115840 | elapsed time per iteration (s): 0.25 | learning rate: 1.531E-05 | global batch size:   256 | lm loss: 3.489729E+00 | grad norm: 0.826 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.799 | TFLOPs: 26.29 |
7:  iteration    13190/   37905 | consumed samples:      3376640 | consumed tokens:   6915358720 | elapsed time per iteration (s): 0.24 | learning rate: 1.530E-05 | global batch size:   256 | lm loss: 3.538946E+00 | grad norm: 0.753 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.789 | TFLOPs: 27.64 |
7:  iteration    13200/   37905 | consumed samples:      3379200 | consumed tokens:   6920601600 | elapsed time per iteration (s): 0.25 | learning rate: 1.529E-05 | global batch size:   256 | lm loss: 3.532360E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.165 | TFLOPs: 25.96 |
7:  iteration    13210/   37905 | consumed samples:      3381760 | consumed tokens:   6925844480 | elapsed time per iteration (s): 0.26 | learning rate: 1.529E-05 | global batch size:   256 | lm loss: 3.486357E+00 | grad norm: 0.751 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.668 | TFLOPs: 24.70 |
7:  iteration    13220/   37905 | consumed samples:      3384320 | consumed tokens:   6931087360 | elapsed time per iteration (s): 0.25 | learning rate: 1.528E-05 | global batch size:   256 | lm loss: 3.547995E+00 | grad norm: 0.680 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.931 | TFLOPs: 25.70 |
7:  iteration    13230/   37905 | consumed samples:      3386880 | consumed tokens:   6936330240 | elapsed time per iteration (s): 0.23 | learning rate: 1.527E-05 | global batch size:   256 | lm loss: 3.539904E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.451 | TFLOPs: 28.65 |
7:  iteration    13240/   37905 | consumed samples:      3389440 | consumed tokens:   6941573120 | elapsed time per iteration (s): 0.26 | learning rate: 1.527E-05 | global batch size:   256 | lm loss: 3.537543E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.647 | TFLOPs: 25.29 |
7:  iteration    13250/   37905 | consumed samples:      3392000 | consumed tokens:   6946816000 | elapsed time per iteration (s): 0.24 | learning rate: 1.526E-05 | global batch size:   256 | lm loss: 3.540262E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.242 | TFLOPs: 27.26 |
7:  iteration    13260/   37905 | consumed samples:      3394560 | consumed tokens:   6952058880 | elapsed time per iteration (s): 0.25 | learning rate: 1.525E-05 | global batch size:   256 | lm loss: 3.548298E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.065 | TFLOPs: 25.73 |
7:  iteration    13270/   37905 | consumed samples:      3397120 | consumed tokens:   6957301760 | elapsed time per iteration (s): 0.27 | learning rate: 1.525E-05 | global batch size:   256 | lm loss: 3.540214E+00 | grad norm: 0.623 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.539 | TFLOPs: 23.91 |
7:  iteration    13280/   37905 | consumed samples:      3399680 | consumed tokens:   6962544640 | elapsed time per iteration (s): 0.23 | learning rate: 1.524E-05 | global batch size:   256 | lm loss: 3.492902E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.157 | TFLOPs: 27.92 |
7:  iteration    13290/   37905 | consumed samples:      3402240 | consumed tokens:   6967787520 | elapsed time per iteration (s): 0.30 | learning rate: 1.524E-05 | global batch size:   256 | lm loss: 3.553814E+00 | grad norm: 0.729 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 849.230 | TFLOPs: 21.63 |
7:  iteration    13300/   37905 | consumed samples:      3404800 | consumed tokens:   6973030400 | elapsed time per iteration (s): 0.23 | learning rate: 1.523E-05 | global batch size:   256 | lm loss: 3.542884E+00 | grad norm: 0.744 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.837 | TFLOPs: 27.99 |
7:  iteration    13310/   37905 | consumed samples:      3407360 | consumed tokens:   6978273280 | elapsed time per iteration (s): 0.26 | learning rate: 1.522E-05 | global batch size:   256 | lm loss: 3.542602E+00 | grad norm: 0.756 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.588 | TFLOPs: 24.67 |
7:  iteration    13320/   37905 | consumed samples:      3409920 | consumed tokens:   6983516160 | elapsed time per iteration (s): 0.24 | learning rate: 1.522E-05 | global batch size:   256 | lm loss: 3.527799E+00 | grad norm: 0.732 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.106 | TFLOPs: 26.96 |
7:  iteration    13330/   37905 | consumed samples:      3412480 | consumed tokens:   6988759040 | elapsed time per iteration (s): 0.26 | learning rate: 1.521E-05 | global batch size:   256 | lm loss: 3.509839E+00 | grad norm: 0.730 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.076 | TFLOPs: 24.66 |
7:  iteration    13340/   37905 | consumed samples:      3415040 | consumed tokens:   6994001920 | elapsed time per iteration (s): 0.27 | learning rate: 1.520E-05 | global batch size:   256 | lm loss: 3.521200E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.676 | TFLOPs: 24.30 |
7:  iteration    13350/   37905 | consumed samples:      3417600 | consumed tokens:   6999244800 | elapsed time per iteration (s): 0.26 | learning rate: 1.520E-05 | global batch size:   256 | lm loss: 3.508915E+00 | grad norm: 0.722 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.994 | TFLOPs: 25.27 |
7:  iteration    13360/   37905 | consumed samples:      3420160 | consumed tokens:   7004487680 | elapsed time per iteration (s): 0.26 | learning rate: 1.519E-05 | global batch size:   256 | lm loss: 3.526402E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.354 | TFLOPs: 25.03 |
7:  iteration    13370/   37905 | consumed samples:      3422720 | consumed tokens:   7009730560 | elapsed time per iteration (s): 0.25 | learning rate: 1.518E-05 | global batch size:   256 | lm loss: 3.520391E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.501 | TFLOPs: 26.10 |
7:  iteration    13380/   37905 | consumed samples:      3425280 | consumed tokens:   7014973440 | elapsed time per iteration (s): 0.26 | learning rate: 1.518E-05 | global batch size:   256 | lm loss: 3.512159E+00 | grad norm: 0.826 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.837 | TFLOPs: 25.42 |
7:  iteration    13390/   37905 | consumed samples:      3427840 | consumed tokens:   7020216320 | elapsed time per iteration (s): 0.24 | learning rate: 1.517E-05 | global batch size:   256 | lm loss: 3.523893E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.607 | TFLOPs: 27.73 |
7:  iteration    13400/   37905 | consumed samples:      3430400 | consumed tokens:   7025459200 | elapsed time per iteration (s): 0.29 | learning rate: 1.516E-05 | global batch size:   256 | lm loss: 3.524259E+00 | grad norm: 0.784 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 887.858 | TFLOPs: 22.62 |
7:  iteration    13410/   37905 | consumed samples:      3432960 | consumed tokens:   7030702080 | elapsed time per iteration (s): 0.23 | learning rate: 1.516E-05 | global batch size:   256 | lm loss: 3.554453E+00 | grad norm: 0.761 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.706 | TFLOPs: 28.47 |
7:  iteration    13420/   37905 | consumed samples:      3435520 | consumed tokens:   7035944960 | elapsed time per iteration (s): 0.27 | learning rate: 1.515E-05 | global batch size:   256 | lm loss: 3.575321E+00 | grad norm: 0.709 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.830 | TFLOPs: 23.92 |
7:  iteration    13430/   37905 | consumed samples:      3438080 | consumed tokens:   7041187840 | elapsed time per iteration (s): 0.23 | learning rate: 1.514E-05 | global batch size:   256 | lm loss: 3.508504E+00 | grad norm: 0.732 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.134 | TFLOPs: 27.85 |
7:  iteration    13440/   37905 | consumed samples:      3440640 | consumed tokens:   7046430720 | elapsed time per iteration (s): 0.26 | learning rate: 1.513E-05 | global batch size:   256 | lm loss: 3.515014E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.576 | TFLOPs: 24.88 |
7:  iteration    13450/   37905 | consumed samples:      3443200 | consumed tokens:   7051673600 | elapsed time per iteration (s): 0.24 | learning rate: 1.513E-05 | global batch size:   256 | lm loss: 3.540995E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.535 | TFLOPs: 27.17 |
7:  iteration    13460/   37905 | consumed samples:      3445760 | consumed tokens:   7056916480 | elapsed time per iteration (s): 0.27 | learning rate: 1.512E-05 | global batch size:   256 | lm loss: 3.548421E+00 | grad norm: 0.639 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.834 | TFLOPs: 24.38 |
7:  iteration    13470/   37905 | consumed samples:      3448320 | consumed tokens:   7062159360 | elapsed time per iteration (s): 0.24 | learning rate: 1.511E-05 | global batch size:   256 | lm loss: 3.487196E+00 | grad norm: 0.735 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.916 | TFLOPs: 26.82 |
7:  iteration    13480/   37905 | consumed samples:      3450880 | consumed tokens:   7067402240 | elapsed time per iteration (s): 0.26 | learning rate: 1.511E-05 | global batch size:   256 | lm loss: 3.519034E+00 | grad norm: 1.050 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.021 | TFLOPs: 24.66 |
7:  iteration    13490/   37905 | consumed samples:      3453440 | consumed tokens:   7072645120 | elapsed time per iteration (s): 0.24 | learning rate: 1.510E-05 | global batch size:   256 | lm loss: 3.502604E+00 | grad norm: 0.725 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1069.620 | TFLOPs: 27.25 |
7:  iteration    13500/   37905 | consumed samples:      3456000 | consumed tokens:   7077888000 | elapsed time per iteration (s): 0.25 | learning rate: 1.509E-05 | global batch size:   256 | lm loss: 3.491749E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.968 | TFLOPs: 25.70 |
7:  iteration    13510/   37905 | consumed samples:      3458560 | consumed tokens:   7083130880 | elapsed time per iteration (s): 0.24 | learning rate: 1.509E-05 | global batch size:   256 | lm loss: 3.544857E+00 | grad norm: 0.672 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.403 | TFLOPs: 27.40 |
7:  iteration    13520/   37905 | consumed samples:      3461120 | consumed tokens:   7088373760 | elapsed time per iteration (s): 0.23 | learning rate: 1.508E-05 | global batch size:   256 | lm loss: 3.548276E+00 | grad norm: 0.727 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.526 | TFLOPs: 28.24 |
7:  iteration    13530/   37905 | consumed samples:      3463680 | consumed tokens:   7093616640 | elapsed time per iteration (s): 0.27 | learning rate: 1.507E-05 | global batch size:   256 | lm loss: 3.506937E+00 | grad norm: 0.741 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.515 | TFLOPs: 24.57 |
7:  iteration    13540/   37905 | consumed samples:      3466240 | consumed tokens:   7098859520 | elapsed time per iteration (s): 0.26 | learning rate: 1.507E-05 | global batch size:   256 | lm loss: 3.555164E+00 | grad norm: 0.720 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.071 | TFLOPs: 25.40 |
7:  iteration    13550/   37905 | consumed samples:      3468800 | consumed tokens:   7104102400 | elapsed time per iteration (s): 0.26 | learning rate: 1.506E-05 | global batch size:   256 | lm loss: 3.528170E+00 | grad norm: 0.682 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.775 | TFLOPs: 24.86 |
7:  iteration    13560/   37905 | consumed samples:      3471360 | consumed tokens:   7109345280 | elapsed time per iteration (s): 0.24 | learning rate: 1.505E-05 | global batch size:   256 | lm loss: 3.508274E+00 | grad norm: 0.920 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.549 | TFLOPs: 27.07 |
7:  iteration    13570/   37905 | consumed samples:      3473920 | consumed tokens:   7114588160 | elapsed time per iteration (s): 0.26 | learning rate: 1.505E-05 | global batch size:   256 | lm loss: 3.543650E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.896 | TFLOPs: 25.12 |
7:  iteration    13580/   37905 | consumed samples:      3476480 | consumed tokens:   7119831040 | elapsed time per iteration (s): 0.25 | learning rate: 1.504E-05 | global batch size:   256 | lm loss: 3.520464E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.825 | TFLOPs: 26.21 |
7:  iteration    13590/   37905 | consumed samples:      3479040 | consumed tokens:   7125073920 | elapsed time per iteration (s): 0.23 | learning rate: 1.503E-05 | global batch size:   256 | lm loss: 3.500864E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1131.487 | TFLOPs: 28.82 |
7:  iteration    13600/   37905 | consumed samples:      3481600 | consumed tokens:   7130316800 | elapsed time per iteration (s): 0.26 | learning rate: 1.503E-05 | global batch size:   256 | lm loss: 3.575786E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.955 | TFLOPs: 24.68 |
7:  iteration    13610/   37905 | consumed samples:      3484160 | consumed tokens:   7135559680 | elapsed time per iteration (s): 0.25 | learning rate: 1.502E-05 | global batch size:   256 | lm loss: 3.525731E+00 | grad norm: 0.670 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.848 | TFLOPs: 25.70 |
7:  iteration    13620/   37905 | consumed samples:      3486720 | consumed tokens:   7140802560 | elapsed time per iteration (s): 0.25 | learning rate: 1.501E-05 | global batch size:   256 | lm loss: 3.492377E+00 | grad norm: 0.748 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.778 | TFLOPs: 26.18 |
7:  iteration    13630/   37905 | consumed samples:      3489280 | consumed tokens:   7146045440 | elapsed time per iteration (s): 0.23 | learning rate: 1.501E-05 | global batch size:   256 | lm loss: 3.524572E+00 | grad norm: 0.683 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.525 | TFLOPs: 28.34 |
7:  iteration    13640/   37905 | consumed samples:      3491840 | consumed tokens:   7151288320 | elapsed time per iteration (s): 0.27 | learning rate: 1.500E-05 | global batch size:   256 | lm loss: 3.497405E+00 | grad norm: 0.658 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.679 | TFLOPs: 23.84 |
7:  iteration    13650/   37905 | consumed samples:      3494400 | consumed tokens:   7156531200 | elapsed time per iteration (s): 0.23 | learning rate: 1.499E-05 | global batch size:   256 | lm loss: 3.539209E+00 | grad norm: 0.737 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.246 | TFLOPs: 28.56 |
7:  iteration    13660/   37905 | consumed samples:      3496960 | consumed tokens:   7161774080 | elapsed time per iteration (s): 0.27 | learning rate: 1.499E-05 | global batch size:   256 | lm loss: 3.511395E+00 | grad norm: 0.668 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.705 | TFLOPs: 24.37 |
7:  iteration    13670/   37905 | consumed samples:      3499520 | consumed tokens:   7167016960 | elapsed time per iteration (s): 0.26 | learning rate: 1.498E-05 | global batch size:   256 | lm loss: 3.551377E+00 | grad norm: 0.783 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.950 | TFLOPs: 24.86 |
7:  iteration    13680/   37905 | consumed samples:      3502080 | consumed tokens:   7172259840 | elapsed time per iteration (s): 0.25 | learning rate: 1.497E-05 | global batch size:   256 | lm loss: 3.494208E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.325 | TFLOPs: 25.84 |
7:  iteration    13690/   37905 | consumed samples:      3504640 | consumed tokens:   7177502720 | elapsed time per iteration (s): 0.25 | learning rate: 1.497E-05 | global batch size:   256 | lm loss: 3.539194E+00 | grad norm: 0.758 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.335 | TFLOPs: 26.45 |
7:  iteration    13700/   37905 | consumed samples:      3507200 | consumed tokens:   7182745600 | elapsed time per iteration (s): 0.28 | learning rate: 1.496E-05 | global batch size:   256 | lm loss: 3.556391E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 900.656 | TFLOPs: 22.94 |
7:  iteration    13710/   37905 | consumed samples:      3509760 | consumed tokens:   7187988480 | elapsed time per iteration (s): 0.24 | learning rate: 1.495E-05 | global batch size:   256 | lm loss: 3.513668E+00 | grad norm: 0.785 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.257 | TFLOPs: 26.86 |
7:  iteration    13720/   37905 | consumed samples:      3512320 | consumed tokens:   7193231360 | elapsed time per iteration (s): 0.26 | learning rate: 1.495E-05 | global batch size:   256 | lm loss: 3.492191E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.348 | TFLOPs: 25.15 |
7:  iteration    13730/   37905 | consumed samples:      3514880 | consumed tokens:   7198474240 | elapsed time per iteration (s): 0.23 | learning rate: 1.494E-05 | global batch size:   256 | lm loss: 3.533147E+00 | grad norm: 0.901 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.871 | TFLOPs: 27.76 |
7:  iteration    13740/   37905 | consumed samples:      3517440 | consumed tokens:   7203717120 | elapsed time per iteration (s): 0.26 | learning rate: 1.493E-05 | global batch size:   256 | lm loss: 3.531870E+00 | grad norm: 0.691 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.292 | TFLOPs: 25.05 |
7:  iteration    13750/   37905 | consumed samples:      3520000 | consumed tokens:   7208960000 | elapsed time per iteration (s): 0.27 | learning rate: 1.493E-05 | global batch size:   256 | lm loss: 3.536978E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 939.208 | TFLOPs: 23.93 |
7:  iteration    13760/   37905 | consumed samples:      3522560 | consumed tokens:   7214202880 | elapsed time per iteration (s): 0.24 | learning rate: 1.492E-05 | global batch size:   256 | lm loss: 3.488059E+00 | grad norm: 0.828 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.976 | TFLOPs: 27.39 |
7:  iteration    13770/   37905 | consumed samples:      3525120 | consumed tokens:   7219445760 | elapsed time per iteration (s): 0.28 | learning rate: 1.491E-05 | global batch size:   256 | lm loss: 3.569043E+00 | grad norm: 0.708 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 898.698 | TFLOPs: 22.89 |
7:  iteration    13780/   37905 | consumed samples:      3527680 | consumed tokens:   7224688640 | elapsed time per iteration (s): 0.23 | learning rate: 1.491E-05 | global batch size:   256 | lm loss: 3.498375E+00 | grad norm: 0.755 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.726 | TFLOPs: 27.86 |
7:  iteration    13790/   37905 | consumed samples:      3530240 | consumed tokens:   7229931520 | elapsed time per iteration (s): 0.25 | learning rate: 1.490E-05 | global batch size:   256 | lm loss: 3.533517E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.583 | TFLOPs: 26.33 |
7:  iteration    13800/   37905 | consumed samples:      3532800 | consumed tokens:   7235174400 | elapsed time per iteration (s): 0.26 | learning rate: 1.489E-05 | global batch size:   256 | lm loss: 3.540496E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.787 | TFLOPs: 25.09 |
7:  iteration    13810/   37905 | consumed samples:      3535360 | consumed tokens:   7240417280 | elapsed time per iteration (s): 0.25 | learning rate: 1.489E-05 | global batch size:   256 | lm loss: 3.493853E+00 | grad norm: 0.591 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1036.117 | TFLOPs: 26.40 |
7:  iteration    13820/   37905 | consumed samples:      3537920 | consumed tokens:   7245660160 | elapsed time per iteration (s): 0.27 | learning rate: 1.488E-05 | global batch size:   256 | lm loss: 3.516479E+00 | grad norm: 0.937 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.173 | TFLOPs: 23.85 |
7:  iteration    13830/   37905 | consumed samples:      3540480 | consumed tokens:   7250903040 | elapsed time per iteration (s): 0.25 | learning rate: 1.487E-05 | global batch size:   256 | lm loss: 3.543495E+00 | grad norm: 0.672 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.362 | TFLOPs: 26.35 |
7:  iteration    13840/   37905 | consumed samples:      3543040 | consumed tokens:   7256145920 | elapsed time per iteration (s): 0.25 | learning rate: 1.486E-05 | global batch size:   256 | lm loss: 3.501187E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.761 | TFLOPs: 25.90 |
7:  iteration    13850/   37905 | consumed samples:      3545600 | consumed tokens:   7261388800 | elapsed time per iteration (s): 0.23 | learning rate: 1.486E-05 | global batch size:   256 | lm loss: 3.523097E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1128.531 | TFLOPs: 28.75 |
7:  iteration    13860/   37905 | consumed samples:      3548160 | consumed tokens:   7266631680 | elapsed time per iteration (s): 0.27 | learning rate: 1.485E-05 | global batch size:   256 | lm loss: 3.570853E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.468 | TFLOPs: 23.78 |
7:  iteration    13870/   37905 | consumed samples:      3550720 | consumed tokens:   7271874560 | elapsed time per iteration (s): 0.23 | learning rate: 1.484E-05 | global batch size:   256 | lm loss: 3.530579E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.165 | TFLOPs: 27.77 |
7:  iteration    13880/   37905 | consumed samples:      3553280 | consumed tokens:   7277117440 | elapsed time per iteration (s): 0.25 | learning rate: 1.484E-05 | global batch size:   256 | lm loss: 3.475963E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.082 | TFLOPs: 26.24 |
7:  iteration    13890/   37905 | consumed samples:      3555840 | consumed tokens:   7282360320 | elapsed time per iteration (s): 0.25 | learning rate: 1.483E-05 | global batch size:   256 | lm loss: 3.511967E+00 | grad norm: 0.786 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.498 | TFLOPs: 25.72 |
7:  iteration    13900/   37905 | consumed samples:      3558400 | consumed tokens:   7287603200 | elapsed time per iteration (s): 0.25 | learning rate: 1.482E-05 | global batch size:   256 | lm loss: 3.481152E+00 | grad norm: 0.701 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.339 | TFLOPs: 25.74 |
7:  iteration    13910/   37905 | consumed samples:      3560960 | consumed tokens:   7292846080 | elapsed time per iteration (s): 0.27 | learning rate: 1.482E-05 | global batch size:   256 | lm loss: 3.525621E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.434 | TFLOPs: 24.29 |
7:  iteration    13920/   37905 | consumed samples:      3563520 | consumed tokens:   7298088960 | elapsed time per iteration (s): 0.26 | learning rate: 1.481E-05 | global batch size:   256 | lm loss: 3.503235E+00 | grad norm: 0.920 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.628 | TFLOPs: 25.44 |
7:  iteration    13930/   37905 | consumed samples:      3566080 | consumed tokens:   7303331840 | elapsed time per iteration (s): 0.26 | learning rate: 1.480E-05 | global batch size:   256 | lm loss: 3.508472E+00 | grad norm: 0.705 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.566 | TFLOPs: 24.73 |
7:  iteration    13940/   37905 | consumed samples:      3568640 | consumed tokens:   7308574720 | elapsed time per iteration (s): 0.25 | learning rate: 1.480E-05 | global batch size:   256 | lm loss: 3.549757E+00 | grad norm: 0.688 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.888 | TFLOPs: 25.91 |
7:  iteration    13950/   37905 | consumed samples:      3571200 | consumed tokens:   7313817600 | elapsed time per iteration (s): 0.23 | learning rate: 1.479E-05 | global batch size:   256 | lm loss: 3.533478E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.251 | TFLOPs: 28.18 |
7:  iteration    13960/   37905 | consumed samples:      3573760 | consumed tokens:   7319060480 | elapsed time per iteration (s): 0.25 | learning rate: 1.478E-05 | global batch size:   256 | lm loss: 3.520490E+00 | grad norm: 0.673 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.674 | TFLOPs: 26.00 |
7:  iteration    13970/   37905 | consumed samples:      3576320 | consumed tokens:   7324303360 | elapsed time per iteration (s): 0.25 | learning rate: 1.478E-05 | global batch size:   256 | lm loss: 3.493427E+00 | grad norm: 0.741 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.114 | TFLOPs: 25.61 |
7:  iteration    13980/   37905 | consumed samples:      3578880 | consumed tokens:   7329546240 | elapsed time per iteration (s): 0.23 | learning rate: 1.477E-05 | global batch size:   256 | lm loss: 3.527432E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.833 | TFLOPs: 28.30 |
7:  iteration    13990/   37905 | consumed samples:      3581440 | consumed tokens:   7334789120 | elapsed time per iteration (s): 0.25 | learning rate: 1.476E-05 | global batch size:   256 | lm loss: 3.471629E+00 | grad norm: 0.700 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.715 | TFLOPs: 25.77 |
0: [2022-11-28 16:12:56,660] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[1.4755779238876916e-05, 1.4755779238876916e-05, 1.4755779238876916e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    14000/   37905 | consumed samples:      3584000 | consumed tokens:   7340032000 | elapsed time per iteration (s): 0.23 | learning rate: 1.476E-05 | global batch size:   256 | lm loss: 3.481704E+00 | grad norm: 0.724 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1129.589 | TFLOPs: 28.78 |
0: steps: 14000 loss: 3.5205 iter time (s): 0.252 samples/sec: 1016.884
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 14000 | lm loss value: 3.357036E+00 | lm loss PPL: 2.870400E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   14000 to checkpoints_83slr
0: [2022-11-28 16:12:56,749] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14000 is begin to save!
0: [2022-11-28 16:12:56,753] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:12:56,823] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:12:56,823] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_03-model_00-model_states.pt...
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0: [2022-11-28 16:12:56,837] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_04-model_00-model_states.pt...
0: [2022-11-28 16:12:56,848] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 16:12:56,859] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_05-model_00-model_states.pt.
0: [2022-11-28 16:12:56,859] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_06-model_00-model_states.pt...
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0: [2022-11-28 16:12:56,881] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_07-model_00-model_states.pt.
0: [2022-11-28 16:12:56,882] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_08-model_00-model_states.pt...
0: [2022-11-28 16:12:56,892] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_08-model_00-model_states.pt.
0: [2022-11-28 16:12:56,893] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_09-model_00-model_states.pt...
0: [2022-11-28 16:12:56,904] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_09-model_00-model_states.pt.
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0: [2022-11-28 16:12:56,926] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_11-model_00-model_states.pt.
0: [2022-11-28 16:12:56,926] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_12-model_00-model_states.pt...
0: [2022-11-28 16:12:56,937] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_12-model_00-model_states.pt.
0: [2022-11-28 16:12:56,937] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/layer_14-model_00-model_states.pt...
0: [2022-11-28 16:12:56,938] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step14000/layer_14-model_00-model_states.pt.
0: [2022-11-28 16:12:56,939] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step14000/mp_rank_00_model_states.pt
0: [2022-11-28 16:12:56,939] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/mp_rank_00_model_states.pt...
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0: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
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6: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
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6: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
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7: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
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6: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
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7: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
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1: [2022-11-28 16:12:56,958] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step14000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
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7: [2022-11-28 16:12:56,985] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now!
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0: [2022-11-28 16:12:56,985] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now!
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0: [2022-11-28 16:12:56,988] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step14000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
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4: [2022-11-28 16:12:56,991] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now!
0:   successfully saved checkpoint at iteration   14000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 245.81
7:  iteration    14010/   37905 | consumed samples:      3586560 | consumed tokens:   7345274880 | elapsed time per iteration (s): 0.26 | learning rate: 1.475E-05 | global batch size:   256 | lm loss: 3.566866E+00 | grad norm: 0.771 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.486 | TFLOPs: 24.62 |
7:  iteration    14020/   37905 | consumed samples:      3589120 | consumed tokens:   7350517760 | elapsed time per iteration (s): 0.28 | learning rate: 1.474E-05 | global batch size:   256 | lm loss: 3.524061E+00 | grad norm: 0.711 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.987 | TFLOPs: 23.36 |
7:  iteration    14030/   37905 | consumed samples:      3591680 | consumed tokens:   7355760640 | elapsed time per iteration (s): 0.25 | learning rate: 1.474E-05 | global batch size:   256 | lm loss: 3.537661E+00 | grad norm: 0.956 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.625 | TFLOPs: 26.43 |
7:  iteration    14040/   37905 | consumed samples:      3594240 | consumed tokens:   7361003520 | elapsed time per iteration (s): 0.26 | learning rate: 1.473E-05 | global batch size:   256 | lm loss: 3.499076E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.655 | TFLOPs: 25.29 |
7:  iteration    14050/   37905 | consumed samples:      3596800 | consumed tokens:   7366246400 | elapsed time per iteration (s): 0.23 | learning rate: 1.472E-05 | global batch size:   256 | lm loss: 3.476348E+00 | grad norm: 0.699 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.668 | TFLOPs: 28.07 |
7:  iteration    14060/   37905 | consumed samples:      3599360 | consumed tokens:   7371489280 | elapsed time per iteration (s): 0.25 | learning rate: 1.471E-05 | global batch size:   256 | lm loss: 3.495421E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.790 | TFLOPs: 25.88 |
7:  iteration    14070/   37905 | consumed samples:      3601920 | consumed tokens:   7376732160 | elapsed time per iteration (s): 0.24 | learning rate: 1.471E-05 | global batch size:   256 | lm loss: 3.470837E+00 | grad norm: 0.673 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1069.287 | TFLOPs: 27.24 |
7:  iteration    14080/   37905 | consumed samples:      3604480 | consumed tokens:   7381975040 | elapsed time per iteration (s): 0.26 | learning rate: 1.470E-05 | global batch size:   256 | lm loss: 3.520658E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.793 | TFLOPs: 24.76 |
7:  iteration    14090/   37905 | consumed samples:      3607040 | consumed tokens:   7387217920 | elapsed time per iteration (s): 0.23 | learning rate: 1.469E-05 | global batch size:   256 | lm loss: 3.478432E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.650 | TFLOPs: 28.29 |
7:  iteration    14100/   37905 | consumed samples:      3609600 | consumed tokens:   7392460800 | elapsed time per iteration (s): 0.25 | learning rate: 1.469E-05 | global batch size:   256 | lm loss: 3.518222E+00 | grad norm: 0.711 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.243 | TFLOPs: 26.14 |
7:  iteration    14110/   37905 | consumed samples:      3612160 | consumed tokens:   7397703680 | elapsed time per iteration (s): 0.25 | learning rate: 1.468E-05 | global batch size:   256 | lm loss: 3.516831E+00 | grad norm: 0.814 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.497 | TFLOPs: 26.28 |
7:  iteration    14120/   37905 | consumed samples:      3614720 | consumed tokens:   7402946560 | elapsed time per iteration (s): 0.23 | learning rate: 1.467E-05 | global batch size:   256 | lm loss: 3.523672E+00 | grad norm: 0.657 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.618 | TFLOPs: 28.52 |
7:  iteration    14130/   37905 | consumed samples:      3617280 | consumed tokens:   7408189440 | elapsed time per iteration (s): 0.25 | learning rate: 1.467E-05 | global batch size:   256 | lm loss: 3.538400E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.082 | TFLOPs: 25.73 |
7:  iteration    14140/   37905 | consumed samples:      3619840 | consumed tokens:   7413432320 | elapsed time per iteration (s): 0.23 | learning rate: 1.466E-05 | global batch size:   256 | lm loss: 3.499933E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.308 | TFLOPs: 28.59 |
7:  iteration    14150/   37905 | consumed samples:      3622400 | consumed tokens:   7418675200 | elapsed time per iteration (s): 0.27 | learning rate: 1.465E-05 | global batch size:   256 | lm loss: 3.530632E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.970 | TFLOPs: 23.97 |
7:  iteration    14160/   37905 | consumed samples:      3624960 | consumed tokens:   7423918080 | elapsed time per iteration (s): 0.24 | learning rate: 1.465E-05 | global batch size:   256 | lm loss: 3.546331E+00 | grad norm: 0.798 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.408 | TFLOPs: 26.73 |
7:  iteration    14170/   37905 | consumed samples:      3627520 | consumed tokens:   7429160960 | elapsed time per iteration (s): 0.25 | learning rate: 1.464E-05 | global batch size:   256 | lm loss: 3.503060E+00 | grad norm: 0.749 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.427 | TFLOPs: 26.05 |
7:  iteration    14180/   37905 | consumed samples:      3630080 | consumed tokens:   7434403840 | elapsed time per iteration (s): 0.24 | learning rate: 1.463E-05 | global batch size:   256 | lm loss: 3.552670E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.004 | TFLOPs: 27.62 |
7:  iteration    14190/   37905 | consumed samples:      3632640 | consumed tokens:   7439646720 | elapsed time per iteration (s): 0.25 | learning rate: 1.463E-05 | global batch size:   256 | lm loss: 3.499844E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.749 | TFLOPs: 25.98 |
7:  iteration    14200/   37905 | consumed samples:      3635200 | consumed tokens:   7444889600 | elapsed time per iteration (s): 0.25 | learning rate: 1.462E-05 | global batch size:   256 | lm loss: 3.519884E+00 | grad norm: 0.734 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1036.852 | TFLOPs: 26.41 |
7:  iteration    14210/   37905 | consumed samples:      3637760 | consumed tokens:   7450132480 | elapsed time per iteration (s): 0.25 | learning rate: 1.461E-05 | global batch size:   256 | lm loss: 3.486720E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.221 | TFLOPs: 26.30 |
7:  iteration    14220/   37905 | consumed samples:      3640320 | consumed tokens:   7455375360 | elapsed time per iteration (s): 0.25 | learning rate: 1.460E-05 | global batch size:   256 | lm loss: 3.526434E+00 | grad norm: 0.584 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.241 | TFLOPs: 26.55 |
7:  iteration    14230/   37905 | consumed samples:      3642880 | consumed tokens:   7460618240 | elapsed time per iteration (s): 0.26 | learning rate: 1.460E-05 | global batch size:   256 | lm loss: 3.489733E+00 | grad norm: 0.671 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.537 | TFLOPs: 24.72 |
7:  iteration    14240/   37905 | consumed samples:      3645440 | consumed tokens:   7465861120 | elapsed time per iteration (s): 0.26 | learning rate: 1.459E-05 | global batch size:   256 | lm loss: 3.532199E+00 | grad norm: 0.619 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.470 | TFLOPs: 25.21 |
7:  iteration    14250/   37905 | consumed samples:      3648000 | consumed tokens:   7471104000 | elapsed time per iteration (s): 0.27 | learning rate: 1.458E-05 | global batch size:   256 | lm loss: 3.525243E+00 | grad norm: 0.841 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.742 | TFLOPs: 23.74 |
7:  iteration    14260/   37905 | consumed samples:      3650560 | consumed tokens:   7476346880 | elapsed time per iteration (s): 0.28 | learning rate: 1.458E-05 | global batch size:   256 | lm loss: 3.537840E+00 | grad norm: 0.676 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.979 | TFLOPs: 23.44 |
7:  iteration    14270/   37905 | consumed samples:      3653120 | consumed tokens:   7481589760 | elapsed time per iteration (s): 0.23 | learning rate: 1.457E-05 | global batch size:   256 | lm loss: 3.486436E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.140 | TFLOPs: 27.98 |
7:  iteration    14280/   37905 | consumed samples:      3655680 | consumed tokens:   7486832640 | elapsed time per iteration (s): 0.25 | learning rate: 1.456E-05 | global batch size:   256 | lm loss: 3.504449E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.753 | TFLOPs: 25.98 |
7:  iteration    14290/   37905 | consumed samples:      3658240 | consumed tokens:   7492075520 | elapsed time per iteration (s): 0.24 | learning rate: 1.456E-05 | global batch size:   256 | lm loss: 3.525586E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.338 | TFLOPs: 26.66 |
7:  iteration    14300/   37905 | consumed samples:      3660800 | consumed tokens:   7497318400 | elapsed time per iteration (s): 0.23 | learning rate: 1.455E-05 | global batch size:   256 | lm loss: 3.441766E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.722 | TFLOPs: 28.35 |
7:  iteration    14310/   37905 | consumed samples:      3663360 | consumed tokens:   7502561280 | elapsed time per iteration (s): 0.27 | learning rate: 1.454E-05 | global batch size:   256 | lm loss: 3.461131E+00 | grad norm: 0.705 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.023 | TFLOPs: 23.74 |
7:  iteration    14320/   37905 | consumed samples:      3665920 | consumed tokens:   7507804160 | elapsed time per iteration (s): 0.25 | learning rate: 1.454E-05 | global batch size:   256 | lm loss: 3.464143E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.777 | TFLOPs: 25.93 |
7:  iteration    14330/   37905 | consumed samples:      3668480 | consumed tokens:   7513047040 | elapsed time per iteration (s): 0.25 | learning rate: 1.453E-05 | global batch size:   256 | lm loss: 3.477339E+00 | grad norm: 0.662 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.728 | TFLOPs: 25.88 |
7:  iteration    14340/   37905 | consumed samples:      3671040 | consumed tokens:   7518289920 | elapsed time per iteration (s): 0.24 | learning rate: 1.452E-05 | global batch size:   256 | lm loss: 3.506144E+00 | grad norm: 0.722 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.489 | TFLOPs: 26.91 |
7:  iteration    14350/   37905 | consumed samples:      3673600 | consumed tokens:   7523532800 | elapsed time per iteration (s): 0.27 | learning rate: 1.451E-05 | global batch size:   256 | lm loss: 3.535484E+00 | grad norm: 0.840 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.152 | TFLOPs: 24.31 |
7:  iteration    14360/   37905 | consumed samples:      3676160 | consumed tokens:   7528775680 | elapsed time per iteration (s): 0.27 | learning rate: 1.451E-05 | global batch size:   256 | lm loss: 3.544279E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.963 | TFLOPs: 24.53 |
7:  iteration    14370/   37905 | consumed samples:      3678720 | consumed tokens:   7534018560 | elapsed time per iteration (s): 0.26 | learning rate: 1.450E-05 | global batch size:   256 | lm loss: 3.541099E+00 | grad norm: 0.796 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.737 | TFLOPs: 25.42 |
7:  iteration    14380/   37905 | consumed samples:      3681280 | consumed tokens:   7539261440 | elapsed time per iteration (s): 0.25 | learning rate: 1.449E-05 | global batch size:   256 | lm loss: 3.483976E+00 | grad norm: 0.713 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.323 | TFLOPs: 25.84 |
7:  iteration    14390/   37905 | consumed samples:      3683840 | consumed tokens:   7544504320 | elapsed time per iteration (s): 0.27 | learning rate: 1.449E-05 | global batch size:   256 | lm loss: 3.516549E+00 | grad norm: 0.861 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.175 | TFLOPs: 24.41 |
7:  iteration    14400/   37905 | consumed samples:      3686400 | consumed tokens:   7549747200 | elapsed time per iteration (s): 0.24 | learning rate: 1.448E-05 | global batch size:   256 | lm loss: 3.450554E+00 | grad norm: 0.627 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.770 | TFLOPs: 26.92 |
7:  iteration    14410/   37905 | consumed samples:      3688960 | consumed tokens:   7554990080 | elapsed time per iteration (s): 0.24 | learning rate: 1.447E-05 | global batch size:   256 | lm loss: 3.461044E+00 | grad norm: 0.658 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.714 | TFLOPs: 27.02 |
7:  iteration    14420/   37905 | consumed samples:      3691520 | consumed tokens:   7560232960 | elapsed time per iteration (s): 0.27 | learning rate: 1.447E-05 | global batch size:   256 | lm loss: 3.495125E+00 | grad norm: 0.586 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.001 | TFLOPs: 23.72 |
7:  iteration    14430/   37905 | consumed samples:      3694080 | consumed tokens:   7565475840 | elapsed time per iteration (s): 0.23 | learning rate: 1.446E-05 | global batch size:   256 | lm loss: 3.504224E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.662 | TFLOPs: 28.09 |
7:  iteration    14440/   37905 | consumed samples:      3696640 | consumed tokens:   7570718720 | elapsed time per iteration (s): 0.27 | learning rate: 1.445E-05 | global batch size:   256 | lm loss: 3.475844E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.045 | TFLOPs: 24.58 |
7:  iteration    14450/   37905 | consumed samples:      3699200 | consumed tokens:   7575961600 | elapsed time per iteration (s): 0.27 | learning rate: 1.445E-05 | global batch size:   256 | lm loss: 3.479822E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.781 | TFLOPs: 24.37 |
7:  iteration    14460/   37905 | consumed samples:      3701760 | consumed tokens:   7581204480 | elapsed time per iteration (s): 0.28 | learning rate: 1.444E-05 | global batch size:   256 | lm loss: 3.514948E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.874 | TFLOPs: 23.71 |
7:  iteration    14470/   37905 | consumed samples:      3704320 | consumed tokens:   7586447360 | elapsed time per iteration (s): 0.23 | learning rate: 1.443E-05 | global batch size:   256 | lm loss: 3.519801E+00 | grad norm: 0.703 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.912 | TFLOPs: 28.05 |
7:  iteration    14480/   37905 | consumed samples:      3706880 | consumed tokens:   7591690240 | elapsed time per iteration (s): 0.28 | learning rate: 1.442E-05 | global batch size:   256 | lm loss: 3.483644E+00 | grad norm: 0.661 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.663 | TFLOPs: 23.68 |
7:  iteration    14490/   37905 | consumed samples:      3709440 | consumed tokens:   7596933120 | elapsed time per iteration (s): 0.24 | learning rate: 1.442E-05 | global batch size:   256 | lm loss: 3.483499E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.599 | TFLOPs: 27.15 |
7:  iteration    14500/   37905 | consumed samples:      3712000 | consumed tokens:   7602176000 | elapsed time per iteration (s): 0.29 | learning rate: 1.441E-05 | global batch size:   256 | lm loss: 3.494735E+00 | grad norm: 0.742 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 888.084 | TFLOPs: 22.62 |
7:  iteration    14510/   37905 | consumed samples:      3714560 | consumed tokens:   7607418880 | elapsed time per iteration (s): 0.26 | learning rate: 1.440E-05 | global batch size:   256 | lm loss: 3.517601E+00 | grad norm: 0.913 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.691 | TFLOPs: 24.63 |
7:  iteration    14520/   37905 | consumed samples:      3717120 | consumed tokens:   7612661760 | elapsed time per iteration (s): 0.24 | learning rate: 1.440E-05 | global batch size:   256 | lm loss: 3.562206E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.336 | TFLOPs: 26.71 |
7:  iteration    14530/   37905 | consumed samples:      3719680 | consumed tokens:   7617904640 | elapsed time per iteration (s): 0.25 | learning rate: 1.439E-05 | global batch size:   256 | lm loss: 3.487229E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.355 | TFLOPs: 25.92 |
7:  iteration    14540/   37905 | consumed samples:      3722240 | consumed tokens:   7623147520 | elapsed time per iteration (s): 0.26 | learning rate: 1.438E-05 | global batch size:   256 | lm loss: 3.509316E+00 | grad norm: 0.733 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.995 | TFLOPs: 25.53 |
7:  iteration    14550/   37905 | consumed samples:      3724800 | consumed tokens:   7628390400 | elapsed time per iteration (s): 0.25 | learning rate: 1.438E-05 | global batch size:   256 | lm loss: 3.470601E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.893 | TFLOPs: 25.88 |
7:  iteration    14560/   37905 | consumed samples:      3727360 | consumed tokens:   7633633280 | elapsed time per iteration (s): 0.26 | learning rate: 1.437E-05 | global batch size:   256 | lm loss: 3.486508E+00 | grad norm: 0.751 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.701 | TFLOPs: 24.88 |
7:  iteration    14570/   37905 | consumed samples:      3729920 | consumed tokens:   7638876160 | elapsed time per iteration (s): 0.25 | learning rate: 1.436E-05 | global batch size:   256 | lm loss: 3.494102E+00 | grad norm: 0.745 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.250 | TFLOPs: 26.32 |
7:  iteration    14580/   37905 | consumed samples:      3732480 | consumed tokens:   7644119040 | elapsed time per iteration (s): 0.25 | learning rate: 1.435E-05 | global batch size:   256 | lm loss: 3.463305E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.583 | TFLOPs: 26.13 |
7:  iteration    14590/   37905 | consumed samples:      3735040 | consumed tokens:   7649361920 | elapsed time per iteration (s): 0.26 | learning rate: 1.435E-05 | global batch size:   256 | lm loss: 3.513587E+00 | grad norm: 0.708 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.360 | TFLOPs: 25.41 |
7:  iteration    14600/   37905 | consumed samples:      3737600 | consumed tokens:   7654604800 | elapsed time per iteration (s): 0.23 | learning rate: 1.434E-05 | global batch size:   256 | lm loss: 3.520518E+00 | grad norm: 0.818 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.900 | TFLOPs: 27.99 |
7:  iteration    14610/   37905 | consumed samples:      3740160 | consumed tokens:   7659847680 | elapsed time per iteration (s): 0.27 | learning rate: 1.433E-05 | global batch size:   256 | lm loss: 3.507959E+00 | grad norm: 0.753 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.185 | TFLOPs: 24.51 |
7:  iteration    14620/   37905 | consumed samples:      3742720 | consumed tokens:   7665090560 | elapsed time per iteration (s): 0.25 | learning rate: 1.433E-05 | global batch size:   256 | lm loss: 3.497942E+00 | grad norm: 0.667 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.915 | TFLOPs: 26.08 |
7:  iteration    14630/   37905 | consumed samples:      3745280 | consumed tokens:   7670333440 | elapsed time per iteration (s): 0.25 | learning rate: 1.432E-05 | global batch size:   256 | lm loss: 3.474433E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.156 | TFLOPs: 26.47 |
7:  iteration    14640/   37905 | consumed samples:      3747840 | consumed tokens:   7675576320 | elapsed time per iteration (s): 0.25 | learning rate: 1.431E-05 | global batch size:   256 | lm loss: 3.482270E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.040 | TFLOPs: 26.44 |
7:  iteration    14650/   37905 | consumed samples:      3750400 | consumed tokens:   7680819200 | elapsed time per iteration (s): 0.25 | learning rate: 1.431E-05 | global batch size:   256 | lm loss: 3.509829E+00 | grad norm: 0.655 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.453 | TFLOPs: 26.58 |
7:  iteration    14660/   37905 | consumed samples:      3752960 | consumed tokens:   7686062080 | elapsed time per iteration (s): 0.26 | learning rate: 1.430E-05 | global batch size:   256 | lm loss: 3.474757E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.291 | TFLOPs: 24.82 |
7:  iteration    14670/   37905 | consumed samples:      3755520 | consumed tokens:   7691304960 | elapsed time per iteration (s): 0.25 | learning rate: 1.429E-05 | global batch size:   256 | lm loss: 3.478108E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.282 | TFLOPs: 25.84 |
7:  iteration    14680/   37905 | consumed samples:      3758080 | consumed tokens:   7696547840 | elapsed time per iteration (s): 0.24 | learning rate: 1.428E-05 | global batch size:   256 | lm loss: 3.513068E+00 | grad norm: 0.607 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.319 | TFLOPs: 27.62 |
7:  iteration    14690/   37905 | consumed samples:      3760640 | consumed tokens:   7701790720 | elapsed time per iteration (s): 0.24 | learning rate: 1.428E-05 | global batch size:   256 | lm loss: 3.472187E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1078.879 | TFLOPs: 27.48 |
7:  iteration    14700/   37905 | consumed samples:      3763200 | consumed tokens:   7707033600 | elapsed time per iteration (s): 0.27 | learning rate: 1.427E-05 | global batch size:   256 | lm loss: 3.520338E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.333 | TFLOPs: 24.41 |
7:  iteration    14710/   37905 | consumed samples:      3765760 | consumed tokens:   7712276480 | elapsed time per iteration (s): 0.23 | learning rate: 1.426E-05 | global batch size:   256 | lm loss: 3.475461E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.845 | TFLOPs: 28.63 |
7:  iteration    14720/   37905 | consumed samples:      3768320 | consumed tokens:   7717519360 | elapsed time per iteration (s): 0.26 | learning rate: 1.426E-05 | global batch size:   256 | lm loss: 3.497996E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.278 | TFLOPs: 25.28 |
7:  iteration    14730/   37905 | consumed samples:      3770880 | consumed tokens:   7722762240 | elapsed time per iteration (s): 0.24 | learning rate: 1.425E-05 | global batch size:   256 | lm loss: 3.496058E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.534 | TFLOPs: 26.66 |
7:  iteration    14740/   37905 | consumed samples:      3773440 | consumed tokens:   7728005120 | elapsed time per iteration (s): 0.23 | learning rate: 1.424E-05 | global batch size:   256 | lm loss: 3.499226E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.712 | TFLOPs: 28.42 |
7:  iteration    14750/   37905 | consumed samples:      3776000 | consumed tokens:   7733248000 | elapsed time per iteration (s): 0.25 | learning rate: 1.424E-05 | global batch size:   256 | lm loss: 3.498486E+00 | grad norm: 0.629 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.024 | TFLOPs: 25.83 |
7:  iteration    14760/   37905 | consumed samples:      3778560 | consumed tokens:   7738490880 | elapsed time per iteration (s): 0.27 | learning rate: 1.423E-05 | global batch size:   256 | lm loss: 3.474469E+00 | grad norm: 0.644 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.648 | TFLOPs: 23.86 |
7:  iteration    14770/   37905 | consumed samples:      3781120 | consumed tokens:   7743733760 | elapsed time per iteration (s): 0.25 | learning rate: 1.422E-05 | global batch size:   256 | lm loss: 3.477491E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.879 | TFLOPs: 25.70 |
7:  iteration    14780/   37905 | consumed samples:      3783680 | consumed tokens:   7748976640 | elapsed time per iteration (s): 0.24 | learning rate: 1.421E-05 | global batch size:   256 | lm loss: 3.523078E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1078.306 | TFLOPs: 27.47 |
7:  iteration    14790/   37905 | consumed samples:      3786240 | consumed tokens:   7754219520 | elapsed time per iteration (s): 0.23 | learning rate: 1.421E-05 | global batch size:   256 | lm loss: 3.509108E+00 | grad norm: 0.666 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.600 | TFLOPs: 28.37 |
7:  iteration    14800/   37905 | consumed samples:      3788800 | consumed tokens:   7759462400 | elapsed time per iteration (s): 0.24 | learning rate: 1.420E-05 | global batch size:   256 | lm loss: 3.481183E+00 | grad norm: 0.740 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.472 | TFLOPs: 27.27 |
7:  iteration    14810/   37905 | consumed samples:      3791360 | consumed tokens:   7764705280 | elapsed time per iteration (s): 0.23 | learning rate: 1.419E-05 | global batch size:   256 | lm loss: 3.532555E+00 | grad norm: 0.623 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.422 | TFLOPs: 28.29 |
7:  iteration    14820/   37905 | consumed samples:      3793920 | consumed tokens:   7769948160 | elapsed time per iteration (s): 0.26 | learning rate: 1.419E-05 | global batch size:   256 | lm loss: 3.458991E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.599 | TFLOPs: 24.73 |
7:  iteration    14830/   37905 | consumed samples:      3796480 | consumed tokens:   7775191040 | elapsed time per iteration (s): 0.27 | learning rate: 1.418E-05 | global batch size:   256 | lm loss: 3.492973E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.017 | TFLOPs: 24.51 |
7:  iteration    14840/   37905 | consumed samples:      3799040 | consumed tokens:   7780433920 | elapsed time per iteration (s): 0.26 | learning rate: 1.417E-05 | global batch size:   256 | lm loss: 3.469895E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.335 | TFLOPs: 25.18 |
7:  iteration    14850/   37905 | consumed samples:      3801600 | consumed tokens:   7785676800 | elapsed time per iteration (s): 0.25 | learning rate: 1.416E-05 | global batch size:   256 | lm loss: 3.482057E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.481 | TFLOPs: 26.18 |
7:  iteration    14860/   37905 | consumed samples:      3804160 | consumed tokens:   7790919680 | elapsed time per iteration (s): 0.35 | learning rate: 1.416E-05 | global batch size:   256 | lm loss: 3.465973E+00 | grad norm: 0.607 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 728.644 | TFLOPs: 18.56 |
7:  iteration    14870/   37905 | consumed samples:      3806720 | consumed tokens:   7796162560 | elapsed time per iteration (s): 0.25 | learning rate: 1.415E-05 | global batch size:   256 | lm loss: 3.515923E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.192 | TFLOPs: 26.32 |
7:  iteration    14880/   37905 | consumed samples:      3809280 | consumed tokens:   7801405440 | elapsed time per iteration (s): 0.26 | learning rate: 1.414E-05 | global batch size:   256 | lm loss: 3.485017E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.181 | TFLOPs: 24.74 |
7:  iteration    14890/   37905 | consumed samples:      3811840 | consumed tokens:   7806648320 | elapsed time per iteration (s): 0.24 | learning rate: 1.414E-05 | global batch size:   256 | lm loss: 3.459911E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1050.556 | TFLOPs: 26.76 |
7:  iteration    14900/   37905 | consumed samples:      3814400 | consumed tokens:   7811891200 | elapsed time per iteration (s): 0.26 | learning rate: 1.413E-05 | global batch size:   256 | lm loss: 3.460333E+00 | grad norm: 0.822 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.440 | TFLOPs: 24.70 |
7:  iteration    14910/   37905 | consumed samples:      3816960 | consumed tokens:   7817134080 | elapsed time per iteration (s): 0.25 | learning rate: 1.412E-05 | global batch size:   256 | lm loss: 3.509503E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.393 | TFLOPs: 26.07 |
7:  iteration    14920/   37905 | consumed samples:      3819520 | consumed tokens:   7822376960 | elapsed time per iteration (s): 0.23 | learning rate: 1.412E-05 | global batch size:   256 | lm loss: 3.464873E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.084 | TFLOPs: 27.80 |
7:  iteration    14930/   37905 | consumed samples:      3822080 | consumed tokens:   7827619840 | elapsed time per iteration (s): 0.47 | learning rate: 1.411E-05 | global batch size:   256 | lm loss: 3.472638E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 547.839 | TFLOPs: 13.96 |
7:  iteration    14940/   37905 | consumed samples:      3824640 | consumed tokens:   7832862720 | elapsed time per iteration (s): 0.30 | learning rate: 1.410E-05 | global batch size:   256 | lm loss: 3.496783E+00 | grad norm: 0.678 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 852.852 | TFLOPs: 21.73 |
7:  iteration    14950/   37905 | consumed samples:      3827200 | consumed tokens:   7838105600 | elapsed time per iteration (s): 0.34 | learning rate: 1.409E-05 | global batch size:   256 | lm loss: 3.460438E+00 | grad norm: 0.761 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 756.060 | TFLOPs: 19.26 |
7:  iteration    14960/   37905 | consumed samples:      3829760 | consumed tokens:   7843348480 | elapsed time per iteration (s): 0.25 | learning rate: 1.409E-05 | global batch size:   256 | lm loss: 3.425467E+00 | grad norm: 0.725 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.909 | TFLOPs: 26.24 |
7:  iteration    14970/   37905 | consumed samples:      3832320 | consumed tokens:   7848591360 | elapsed time per iteration (s): 0.25 | learning rate: 1.408E-05 | global batch size:   256 | lm loss: 3.474425E+00 | grad norm: 0.605 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.400 | TFLOPs: 25.99 |
7:  iteration    14980/   37905 | consumed samples:      3834880 | consumed tokens:   7853834240 | elapsed time per iteration (s): 0.36 | learning rate: 1.407E-05 | global batch size:   256 | lm loss: 3.483738E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 704.997 | TFLOPs: 17.96 |
7:  iteration    14990/   37905 | consumed samples:      3837440 | consumed tokens:   7859077120 | elapsed time per iteration (s): 0.25 | learning rate: 1.407E-05 | global batch size:   256 | lm loss: 3.548224E+00 | grad norm: 0.796 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.674 | TFLOPs: 25.85 |
7:  iteration    15000/   37905 | consumed samples:      3840000 | consumed tokens:   7864320000 | elapsed time per iteration (s): 0.34 | learning rate: 1.406E-05 | global batch size:   256 | lm loss: 3.473685E+00 | grad norm: 0.778 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 758.226 | TFLOPs: 19.32 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 15000 | lm loss value: 3.404705E+00 | lm loss PPL: 3.010540E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   15000 to checkpoints_83slr
0: [2022-11-28 16:17:15,046] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step15000 is begin to save!
0: [2022-11-28 16:17:15,094] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:17:15,300] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:17:15,301] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_03-model_00-model_states.pt...
0: [2022-11-28 16:17:15,313] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_03-model_00-model_states.pt.
0: [2022-11-28 16:17:15,314] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_04-model_00-model_states.pt...
0: [2022-11-28 16:17:15,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_04-model_00-model_states.pt.
0: [2022-11-28 16:17:15,326] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_05-model_00-model_states.pt...
0: [2022-11-28 16:17:15,339] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_05-model_00-model_states.pt.
0: [2022-11-28 16:17:15,339] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_06-model_00-model_states.pt...
0: [2022-11-28 16:17:15,351] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_06-model_00-model_states.pt.
0: [2022-11-28 16:17:15,351] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_07-model_00-model_states.pt...
0: [2022-11-28 16:17:15,363] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_07-model_00-model_states.pt.
0: [2022-11-28 16:17:15,363] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_08-model_00-model_states.pt...
0: [2022-11-28 16:17:15,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_08-model_00-model_states.pt.
0: [2022-11-28 16:17:15,376] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_09-model_00-model_states.pt...
0: [2022-11-28 16:17:15,387] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_09-model_00-model_states.pt.
0: [2022-11-28 16:17:15,388] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_10-model_00-model_states.pt...
0: [2022-11-28 16:17:15,400] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_10-model_00-model_states.pt.
0: [2022-11-28 16:17:15,400] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_11-model_00-model_states.pt...
0: [2022-11-28 16:17:15,412] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_11-model_00-model_states.pt.
0: [2022-11-28 16:17:15,412] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_12-model_00-model_states.pt...
0: [2022-11-28 16:17:15,424] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_12-model_00-model_states.pt.
0: [2022-11-28 16:17:15,424] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/layer_14-model_00-model_states.pt...
0: [2022-11-28 16:17:15,425] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/layer_14-model_00-model_states.pt.
0: [2022-11-28 16:17:15,426] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step15000/mp_rank_00_model_states.pt
0: [2022-11-28 16:17:15,426] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/mp_rank_00_model_states.pt...
0: [2022-11-28 16:17:15,429] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/mp_rank_00_model_states.pt.
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:17:15,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step15000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:17:15,535] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt.
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4: [2022-11-28 16:17:15,535] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step15000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:17:15,535] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step15000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
4: [2022-11-28 16:17:15,535] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step15000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
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0:   successfully saved checkpoint at iteration   15000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 569.32
7:  iteration    15010/   37905 | consumed samples:      3842560 | consumed tokens:   7869562880 | elapsed time per iteration (s): 0.38 | learning rate: 1.405E-05 | global batch size:   256 | lm loss: 3.493242E+00 | grad norm: 0.663 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 681.199 | TFLOPs: 17.35 |
7:  iteration    15020/   37905 | consumed samples:      3845120 | consumed tokens:   7874805760 | elapsed time per iteration (s): 0.27 | learning rate: 1.404E-05 | global batch size:   256 | lm loss: 3.470922E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 948.574 | TFLOPs: 24.17 |
7:  iteration    15030/   37905 | consumed samples:      3847680 | consumed tokens:   7880048640 | elapsed time per iteration (s): 0.32 | learning rate: 1.404E-05 | global batch size:   256 | lm loss: 3.502699E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 787.790 | TFLOPs: 20.07 |
7:  iteration    15040/   37905 | consumed samples:      3850240 | consumed tokens:   7885291520 | elapsed time per iteration (s): 0.31 | learning rate: 1.403E-05 | global batch size:   256 | lm loss: 3.538301E+00 | grad norm: 0.605 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 827.121 | TFLOPs: 21.07 |
7:  iteration    15050/   37905 | consumed samples:      3852800 | consumed tokens:   7890534400 | elapsed time per iteration (s): 0.30 | learning rate: 1.402E-05 | global batch size:   256 | lm loss: 3.467768E+00 | grad norm: 0.619 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 850.719 | TFLOPs: 21.67 |
7:  iteration    15060/   37905 | consumed samples:      3855360 | consumed tokens:   7895777280 | elapsed time per iteration (s): 0.30 | learning rate: 1.402E-05 | global batch size:   256 | lm loss: 3.466615E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 866.104 | TFLOPs: 22.06 |
7:  iteration    15070/   37905 | consumed samples:      3857920 | consumed tokens:   7901020160 | elapsed time per iteration (s): 0.29 | learning rate: 1.401E-05 | global batch size:   256 | lm loss: 3.477960E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.717 | TFLOPs: 22.28 |
7:  iteration    15080/   37905 | consumed samples:      3860480 | consumed tokens:   7906263040 | elapsed time per iteration (s): 0.33 | learning rate: 1.400E-05 | global batch size:   256 | lm loss: 3.465151E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 787.038 | TFLOPs: 20.05 |
7:  iteration    15090/   37905 | consumed samples:      3863040 | consumed tokens:   7911505920 | elapsed time per iteration (s): 0.30 | learning rate: 1.399E-05 | global batch size:   256 | lm loss: 3.472441E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 862.854 | TFLOPs: 21.98 |
7:  iteration    15100/   37905 | consumed samples:      3865600 | consumed tokens:   7916748800 | elapsed time per iteration (s): 0.32 | learning rate: 1.399E-05 | global batch size:   256 | lm loss: 3.455693E+00 | grad norm: 0.668 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 792.608 | TFLOPs: 20.19 |
7:  iteration    15110/   37905 | consumed samples:      3868160 | consumed tokens:   7921991680 | elapsed time per iteration (s): 0.28 | learning rate: 1.398E-05 | global batch size:   256 | lm loss: 3.501210E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.640 | TFLOPs: 23.12 |
7:  iteration    15120/   37905 | consumed samples:      3870720 | consumed tokens:   7927234560 | elapsed time per iteration (s): 0.31 | learning rate: 1.397E-05 | global batch size:   256 | lm loss: 3.479346E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 835.875 | TFLOPs: 21.29 |
7:  iteration    15130/   37905 | consumed samples:      3873280 | consumed tokens:   7932477440 | elapsed time per iteration (s): 0.27 | learning rate: 1.397E-05 | global batch size:   256 | lm loss: 3.459887E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.909 | TFLOPs: 24.00 |
7:  iteration    15140/   37905 | consumed samples:      3875840 | consumed tokens:   7937720320 | elapsed time per iteration (s): 0.34 | learning rate: 1.396E-05 | global batch size:   256 | lm loss: 3.510872E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 756.936 | TFLOPs: 19.28 |
7:  iteration    15150/   37905 | consumed samples:      3878400 | consumed tokens:   7942963200 | elapsed time per iteration (s): 0.30 | learning rate: 1.395E-05 | global batch size:   256 | lm loss: 3.457930E+00 | grad norm: 0.656 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 849.924 | TFLOPs: 21.65 |
7:  iteration    15160/   37905 | consumed samples:      3880960 | consumed tokens:   7948206080 | elapsed time per iteration (s): 0.31 | learning rate: 1.395E-05 | global batch size:   256 | lm loss: 3.473489E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 834.807 | TFLOPs: 21.27 |
7:  iteration    15170/   37905 | consumed samples:      3883520 | consumed tokens:   7953448960 | elapsed time per iteration (s): 0.28 | learning rate: 1.394E-05 | global batch size:   256 | lm loss: 3.501692E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.830 | TFLOPs: 23.61 |
7:  iteration    15180/   37905 | consumed samples:      3886080 | consumed tokens:   7958691840 | elapsed time per iteration (s): 0.29 | learning rate: 1.393E-05 | global batch size:   256 | lm loss: 3.464257E+00 | grad norm: 0.681 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.002 | TFLOPs: 22.37 |
7:  iteration    15190/   37905 | consumed samples:      3888640 | consumed tokens:   7963934720 | elapsed time per iteration (s): 0.30 | learning rate: 1.392E-05 | global batch size:   256 | lm loss: 3.475515E+00 | grad norm: 0.667 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.449 | TFLOPs: 21.51 |
7:  iteration    15200/   37905 | consumed samples:      3891200 | consumed tokens:   7969177600 | elapsed time per iteration (s): 0.30 | learning rate: 1.392E-05 | global batch size:   256 | lm loss: 3.503894E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 840.058 | TFLOPs: 21.40 |
7:  iteration    15210/   37905 | consumed samples:      3893760 | consumed tokens:   7974420480 | elapsed time per iteration (s): 0.29 | learning rate: 1.391E-05 | global batch size:   256 | lm loss: 3.478517E+00 | grad norm: 0.586 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.698 | TFLOPs: 22.38 |
7:  iteration    15220/   37905 | consumed samples:      3896320 | consumed tokens:   7979663360 | elapsed time per iteration (s): 0.28 | learning rate: 1.390E-05 | global batch size:   256 | lm loss: 3.505621E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.328 | TFLOPs: 23.32 |
7:  iteration    15230/   37905 | consumed samples:      3898880 | consumed tokens:   7984906240 | elapsed time per iteration (s): 0.29 | learning rate: 1.390E-05 | global batch size:   256 | lm loss: 3.485451E+00 | grad norm: 0.676 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.745 | TFLOPs: 22.74 |
7:  iteration    15240/   37905 | consumed samples:      3901440 | consumed tokens:   7990149120 | elapsed time per iteration (s): 0.31 | learning rate: 1.389E-05 | global batch size:   256 | lm loss: 3.487065E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 838.938 | TFLOPs: 21.37 |
7:  iteration    15250/   37905 | consumed samples:      3904000 | consumed tokens:   7995392000 | elapsed time per iteration (s): 0.30 | learning rate: 1.388E-05 | global batch size:   256 | lm loss: 3.475597E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 851.695 | TFLOPs: 21.70 |
7:  iteration    15260/   37905 | consumed samples:      3906560 | consumed tokens:   8000634880 | elapsed time per iteration (s): 0.31 | learning rate: 1.387E-05 | global batch size:   256 | lm loss: 3.510184E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 822.081 | TFLOPs: 20.94 |
7:  iteration    15270/   37905 | consumed samples:      3909120 | consumed tokens:   8005877760 | elapsed time per iteration (s): 0.28 | learning rate: 1.387E-05 | global batch size:   256 | lm loss: 3.472982E+00 | grad norm: 0.670 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 901.696 | TFLOPs: 22.97 |
7:  iteration    15280/   37905 | consumed samples:      3911680 | consumed tokens:   8011120640 | elapsed time per iteration (s): 0.31 | learning rate: 1.386E-05 | global batch size:   256 | lm loss: 3.494415E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 819.026 | TFLOPs: 20.86 |
7:  iteration    15290/   37905 | consumed samples:      3914240 | consumed tokens:   8016363520 | elapsed time per iteration (s): 0.28 | learning rate: 1.385E-05 | global batch size:   256 | lm loss: 3.466550E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.741 | TFLOPs: 23.28 |
7:  iteration    15300/   37905 | consumed samples:      3916800 | consumed tokens:   8021606400 | elapsed time per iteration (s): 0.32 | learning rate: 1.385E-05 | global batch size:   256 | lm loss: 3.464439E+00 | grad norm: 1.062 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 793.067 | TFLOPs: 20.20 |
7:  iteration    15310/   37905 | consumed samples:      3919360 | consumed tokens:   8026849280 | elapsed time per iteration (s): 0.29 | learning rate: 1.384E-05 | global batch size:   256 | lm loss: 3.495097E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 886.718 | TFLOPs: 22.59 |
7:  iteration    15320/   37905 | consumed samples:      3921920 | consumed tokens:   8032092160 | elapsed time per iteration (s): 0.32 | learning rate: 1.383E-05 | global batch size:   256 | lm loss: 3.476772E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 802.804 | TFLOPs: 20.45 |
7:  iteration    15330/   37905 | consumed samples:      3924480 | consumed tokens:   8037335040 | elapsed time per iteration (s): 0.31 | learning rate: 1.382E-05 | global batch size:   256 | lm loss: 3.456006E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 835.057 | TFLOPs: 21.27 |
7:  iteration    15340/   37905 | consumed samples:      3927040 | consumed tokens:   8042577920 | elapsed time per iteration (s): 0.34 | learning rate: 1.382E-05 | global batch size:   256 | lm loss: 3.497174E+00 | grad norm: 0.699 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 750.118 | TFLOPs: 19.11 |
7:  iteration    15350/   37905 | consumed samples:      3929600 | consumed tokens:   8047820800 | elapsed time per iteration (s): 0.31 | learning rate: 1.381E-05 | global batch size:   256 | lm loss: 3.483203E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 818.586 | TFLOPs: 20.85 |
7:  iteration    15360/   37905 | consumed samples:      3932160 | consumed tokens:   8053063680 | elapsed time per iteration (s): 0.27 | learning rate: 1.380E-05 | global batch size:   256 | lm loss: 3.484465E+00 | grad norm: 0.713 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.281 | TFLOPs: 24.28 |
7:  iteration    15370/   37905 | consumed samples:      3934720 | consumed tokens:   8058306560 | elapsed time per iteration (s): 0.32 | learning rate: 1.380E-05 | global batch size:   256 | lm loss: 3.495902E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 799.127 | TFLOPs: 20.36 |
7:  iteration    15380/   37905 | consumed samples:      3937280 | consumed tokens:   8063549440 | elapsed time per iteration (s): 0.32 | learning rate: 1.379E-05 | global batch size:   256 | lm loss: 3.443851E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 812.360 | TFLOPs: 20.69 |
7:  iteration    15390/   37905 | consumed samples:      3939840 | consumed tokens:   8068792320 | elapsed time per iteration (s): 0.27 | learning rate: 1.378E-05 | global batch size:   256 | lm loss: 3.499332E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.326 | TFLOPs: 23.83 |
7:  iteration    15400/   37905 | consumed samples:      3942400 | consumed tokens:   8074035200 | elapsed time per iteration (s): 0.33 | learning rate: 1.377E-05 | global batch size:   256 | lm loss: 3.468300E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 783.412 | TFLOPs: 19.96 |
7:  iteration    15410/   37905 | consumed samples:      3944960 | consumed tokens:   8079278080 | elapsed time per iteration (s): 0.28 | learning rate: 1.377E-05 | global batch size:   256 | lm loss: 3.522072E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.949 | TFLOPs: 23.18 |
7:  iteration    15420/   37905 | consumed samples:      3947520 | consumed tokens:   8084520960 | elapsed time per iteration (s): 0.30 | learning rate: 1.376E-05 | global batch size:   256 | lm loss: 3.499607E+00 | grad norm: 0.661 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 860.803 | TFLOPs: 21.93 |
7:  iteration    15430/   37905 | consumed samples:      3950080 | consumed tokens:   8089763840 | elapsed time per iteration (s): 0.30 | learning rate: 1.375E-05 | global batch size:   256 | lm loss: 3.470658E+00 | grad norm: 0.787 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 862.999 | TFLOPs: 21.99 |
7:  iteration    15440/   37905 | consumed samples:      3952640 | consumed tokens:   8095006720 | elapsed time per iteration (s): 0.27 | learning rate: 1.374E-05 | global batch size:   256 | lm loss: 3.466003E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.230 | TFLOPs: 24.44 |
7:  iteration    15450/   37905 | consumed samples:      3955200 | consumed tokens:   8100249600 | elapsed time per iteration (s): 0.28 | learning rate: 1.374E-05 | global batch size:   256 | lm loss: 3.488594E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.058 | TFLOPs: 23.23 |
7:  iteration    15460/   37905 | consumed samples:      3957760 | consumed tokens:   8105492480 | elapsed time per iteration (s): 0.30 | learning rate: 1.373E-05 | global batch size:   256 | lm loss: 3.484862E+00 | grad norm: 0.834 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 865.902 | TFLOPs: 22.06 |
7:  iteration    15470/   37905 | consumed samples:      3960320 | consumed tokens:   8110735360 | elapsed time per iteration (s): 0.34 | learning rate: 1.372E-05 | global batch size:   256 | lm loss: 3.481570E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 748.331 | TFLOPs: 19.06 |
7:  iteration    15480/   37905 | consumed samples:      3962880 | consumed tokens:   8115978240 | elapsed time per iteration (s): 0.29 | learning rate: 1.372E-05 | global batch size:   256 | lm loss: 3.493853E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 887.156 | TFLOPs: 22.60 |
7:  iteration    15490/   37905 | consumed samples:      3965440 | consumed tokens:   8121221120 | elapsed time per iteration (s): 0.31 | learning rate: 1.371E-05 | global batch size:   256 | lm loss: 3.485517E+00 | grad norm: 0.880 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 835.190 | TFLOPs: 21.28 |
7:  iteration    15500/   37905 | consumed samples:      3968000 | consumed tokens:   8126464000 | elapsed time per iteration (s): 0.27 | learning rate: 1.370E-05 | global batch size:   256 | lm loss: 3.482502E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.678 | TFLOPs: 24.40 |
7:  iteration    15510/   37905 | consumed samples:      3970560 | consumed tokens:   8131706880 | elapsed time per iteration (s): 0.30 | learning rate: 1.369E-05 | global batch size:   256 | lm loss: 3.494759E+00 | grad norm: 0.812 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 851.540 | TFLOPs: 21.69 |
7:  iteration    15520/   37905 | consumed samples:      3973120 | consumed tokens:   8136949760 | elapsed time per iteration (s): 0.28 | learning rate: 1.369E-05 | global batch size:   256 | lm loss: 3.480546E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.133 | TFLOPs: 23.13 |
7:  iteration    15530/   37905 | consumed samples:      3975680 | consumed tokens:   8142192640 | elapsed time per iteration (s): 0.32 | learning rate: 1.368E-05 | global batch size:   256 | lm loss: 3.506078E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 804.982 | TFLOPs: 20.51 |
7:  iteration    15540/   37905 | consumed samples:      3978240 | consumed tokens:   8147435520 | elapsed time per iteration (s): 0.27 | learning rate: 1.367E-05 | global batch size:   256 | lm loss: 3.500632E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.274 | TFLOPs: 23.80 |
7:  iteration    15550/   37905 | consumed samples:      3980800 | consumed tokens:   8152678400 | elapsed time per iteration (s): 0.30 | learning rate: 1.367E-05 | global batch size:   256 | lm loss: 3.447197E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 848.269 | TFLOPs: 21.61 |
7:  iteration    15560/   37905 | consumed samples:      3983360 | consumed tokens:   8157921280 | elapsed time per iteration (s): 0.28 | learning rate: 1.366E-05 | global batch size:   256 | lm loss: 3.480267E+00 | grad norm: 0.692 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.537 | TFLOPs: 23.32 |
7:  iteration    15570/   37905 | consumed samples:      3985920 | consumed tokens:   8163164160 | elapsed time per iteration (s): 0.31 | learning rate: 1.365E-05 | global batch size:   256 | lm loss: 3.461609E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 821.885 | TFLOPs: 20.94 |
7:  iteration    15580/   37905 | consumed samples:      3988480 | consumed tokens:   8168407040 | elapsed time per iteration (s): 0.29 | learning rate: 1.364E-05 | global batch size:   256 | lm loss: 3.468205E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.193 | TFLOPs: 22.35 |
7:  iteration    15590/   37905 | consumed samples:      3991040 | consumed tokens:   8173649920 | elapsed time per iteration (s): 0.30 | learning rate: 1.364E-05 | global batch size:   256 | lm loss: 3.500127E+00 | grad norm: 0.606 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 855.723 | TFLOPs: 21.80 |
7:  iteration    15600/   37905 | consumed samples:      3993600 | consumed tokens:   8178892800 | elapsed time per iteration (s): 0.28 | learning rate: 1.363E-05 | global batch size:   256 | lm loss: 3.470695E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.359 | TFLOPs: 23.68 |
7:  iteration    15610/   37905 | consumed samples:      3996160 | consumed tokens:   8184135680 | elapsed time per iteration (s): 0.34 | learning rate: 1.362E-05 | global batch size:   256 | lm loss: 3.498524E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 762.419 | TFLOPs: 19.42 |
7:  iteration    15620/   37905 | consumed samples:      3998720 | consumed tokens:   8189378560 | elapsed time per iteration (s): 0.29 | learning rate: 1.362E-05 | global batch size:   256 | lm loss: 3.455836E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.668 | TFLOPs: 22.66 |
7:  iteration    15630/   37905 | consumed samples:      4001280 | consumed tokens:   8194621440 | elapsed time per iteration (s): 0.30 | learning rate: 1.361E-05 | global batch size:   256 | lm loss: 3.497122E+00 | grad norm: 0.644 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 845.894 | TFLOPs: 21.55 |
7:  iteration    15640/   37905 | consumed samples:      4003840 | consumed tokens:   8199864320 | elapsed time per iteration (s): 0.28 | learning rate: 1.360E-05 | global batch size:   256 | lm loss: 3.480692E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.868 | TFLOPs: 23.43 |
7:  iteration    15650/   37905 | consumed samples:      4006400 | consumed tokens:   8205107200 | elapsed time per iteration (s): 0.29 | learning rate: 1.359E-05 | global batch size:   256 | lm loss: 3.521030E+00 | grad norm: 0.618 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.022 | TFLOPs: 22.27 |
7:  iteration    15660/   37905 | consumed samples:      4008960 | consumed tokens:   8210350080 | elapsed time per iteration (s): 0.29 | learning rate: 1.359E-05 | global batch size:   256 | lm loss: 3.442921E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.692 | TFLOPs: 22.56 |
7:  iteration    15670/   37905 | consumed samples:      4011520 | consumed tokens:   8215592960 | elapsed time per iteration (s): 0.28 | learning rate: 1.358E-05 | global batch size:   256 | lm loss: 3.477943E+00 | grad norm: 0.674 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 920.303 | TFLOPs: 23.44 |
7:  iteration    15680/   37905 | consumed samples:      4014080 | consumed tokens:   8220835840 | elapsed time per iteration (s): 0.28 | learning rate: 1.357E-05 | global batch size:   256 | lm loss: 3.460779E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.009 | TFLOPs: 23.41 |
7:  iteration    15690/   37905 | consumed samples:      4016640 | consumed tokens:   8226078720 | elapsed time per iteration (s): 0.31 | learning rate: 1.356E-05 | global batch size:   256 | lm loss: 3.504895E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 822.520 | TFLOPs: 20.95 |
7:  iteration    15700/   37905 | consumed samples:      4019200 | consumed tokens:   8231321600 | elapsed time per iteration (s): 0.25 | learning rate: 1.356E-05 | global batch size:   256 | lm loss: 3.486037E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.989 | TFLOPs: 25.70 |
7:  iteration    15710/   37905 | consumed samples:      4021760 | consumed tokens:   8236564480 | elapsed time per iteration (s): 0.29 | learning rate: 1.355E-05 | global batch size:   256 | lm loss: 3.506747E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.076 | TFLOPs: 22.52 |
7:  iteration    15720/   37905 | consumed samples:      4024320 | consumed tokens:   8241807360 | elapsed time per iteration (s): 0.27 | learning rate: 1.354E-05 | global batch size:   256 | lm loss: 3.513100E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.633 | TFLOPs: 23.86 |
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7:  iteration    15860/   37905 | consumed samples:      4060160 | consumed tokens:   8315207680 | elapsed time per iteration (s): 0.29 | learning rate: 1.344E-05 | global batch size:   256 | lm loss: 3.464757E+00 | grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.146 | TFLOPs: 22.19 |
7:  iteration    15870/   37905 | consumed samples:      4062720 | consumed tokens:   8320450560 | elapsed time per iteration (s): 0.29 | learning rate: 1.343E-05 | global batch size:   256 | lm loss: 3.461490E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.039 | TFLOPs: 22.70 |
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7:  iteration    15910/   37905 | consumed samples:      4072960 | consumed tokens:   8341422080 | elapsed time per iteration (s): 0.31 | learning rate: 1.341E-05 | global batch size:   256 | lm loss: 3.487605E+00 | grad norm: 0.663 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 831.968 | TFLOPs: 21.19 |
7:  iteration    15920/   37905 | consumed samples:      4075520 | consumed tokens:   8346664960 | elapsed time per iteration (s): 0.32 | learning rate: 1.340E-05 | global batch size:   256 | lm loss: 3.425900E+00 | grad norm: 0.670 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 802.399 | TFLOPs: 20.44 |
7:  iteration    15930/   37905 | consumed samples:      4078080 | consumed tokens:   8351907840 | elapsed time per iteration (s): 0.32 | learning rate: 1.339E-05 | global batch size:   256 | lm loss: 3.459993E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 790.624 | TFLOPs: 20.14 |
7:  iteration    15940/   37905 | consumed samples:      4080640 | consumed tokens:   8357150720 | elapsed time per iteration (s): 0.29 | learning rate: 1.338E-05 | global batch size:   256 | lm loss: 3.472312E+00 | grad norm: 0.978 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.171 | TFLOPs: 22.83 |
7:  iteration    15950/   37905 | consumed samples:      4083200 | consumed tokens:   8362393600 | elapsed time per iteration (s): 0.34 | learning rate: 1.338E-05 | global batch size:   256 | lm loss: 3.488253E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 760.571 | TFLOPs: 19.38 |
7:  iteration    15960/   37905 | consumed samples:      4085760 | consumed tokens:   8367636480 | elapsed time per iteration (s): 0.36 | learning rate: 1.337E-05 | global batch size:   256 | lm loss: 3.452529E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 720.322 | TFLOPs: 18.35 |
7:  iteration    15970/   37905 | consumed samples:      4088320 | consumed tokens:   8372879360 | elapsed time per iteration (s): 0.30 | learning rate: 1.336E-05 | global batch size:   256 | lm loss: 3.478228E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 841.801 | TFLOPs: 21.45 |
7:  iteration    15980/   37905 | consumed samples:      4090880 | consumed tokens:   8378122240 | elapsed time per iteration (s): 0.30 | learning rate: 1.335E-05 | global batch size:   256 | lm loss: 3.502339E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 862.476 | TFLOPs: 21.97 |
7:  iteration    15990/   37905 | consumed samples:      4093440 | consumed tokens:   8383365120 | elapsed time per iteration (s): 0.34 | learning rate: 1.335E-05 | global batch size:   256 | lm loss: 3.486818E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 742.793 | TFLOPs: 18.92 |
0: [2022-11-28 16:22:12,870] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[1.3340211513853555e-05, 1.3340211513853555e-05, 1.3340211513853555e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    16000/   37905 | consumed samples:      4096000 | consumed tokens:   8388608000 | elapsed time per iteration (s): 0.25 | learning rate: 1.334E-05 | global batch size:   256 | lm loss: 3.470880E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.397 | TFLOPs: 25.97 |
0: steps: 16000 loss: 3.6034 iter time (s): 0.275 samples/sec: 930.703
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 16000 | lm loss value: 3.257545E+00 | lm loss PPL: 2.598566E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   16000 to checkpoints_83slr
0: [2022-11-28 16:22:12,980] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step16000 is begin to save!
0: [2022-11-28 16:22:12,985] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step16000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:22:13,064] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step16000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 16:22:13,099] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step16000/layer_05-model_00-model_states.pt.
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0: [2022-11-28 16:22:13,121] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step16000/layer_07-model_00-model_states.pt.
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0: [2022-11-28 16:22:13,156] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step16000/layer_11-model_00-model_states.pt...
0: [2022-11-28 16:22:13,167] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step16000/layer_11-model_00-model_states.pt.
0: [2022-11-28 16:22:13,167] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step16000/layer_12-model_00-model_states.pt...
0: [2022-11-28 16:22:13,178] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step16000/layer_12-model_00-model_states.pt.
0: [2022-11-28 16:22:13,179] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step16000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 16:22:13,180] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step16000/mp_rank_00_model_states.pt
0: [2022-11-28 16:22:13,180] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step16000/mp_rank_00_model_states.pt...
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0: [2022-11-28 16:22:13,200] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step16000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:22:13,200] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step16000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
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3: [2022-11-28 16:22:13,232] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now!
1: [2022-11-28 16:22:13,233] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step16000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:22:13,233] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step16000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt
1: [2022-11-28 16:22:13,233] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now!
0:   successfully saved checkpoint at iteration   16000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 277.83
7:  iteration    16010/   37905 | consumed samples:      4098560 | consumed tokens:   8393850880 | elapsed time per iteration (s): 0.31 | learning rate: 1.333E-05 | global batch size:   256 | lm loss: 3.466367E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 828.045 | TFLOPs: 21.09 |
7:  iteration    16020/   37905 | consumed samples:      4101120 | consumed tokens:   8399093760 | elapsed time per iteration (s): 0.30 | learning rate: 1.333E-05 | global batch size:   256 | lm loss: 3.473077E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.151 | TFLOPs: 21.50 |
7:  iteration    16030/   37905 | consumed samples:      4103680 | consumed tokens:   8404336640 | elapsed time per iteration (s): 0.28 | learning rate: 1.332E-05 | global batch size:   256 | lm loss: 3.458643E+00 | grad norm: 0.590 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.644 | TFLOPs: 23.53 |
7:  iteration    16040/   37905 | consumed samples:      4106240 | consumed tokens:   8409579520 | elapsed time per iteration (s): 0.31 | learning rate: 1.331E-05 | global batch size:   256 | lm loss: 3.508607E+00 | grad norm: 0.739 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 825.522 | TFLOPs: 21.03 |
7:  iteration    16050/   37905 | consumed samples:      4108800 | consumed tokens:   8414822400 | elapsed time per iteration (s): 0.28 | learning rate: 1.330E-05 | global batch size:   256 | lm loss: 3.425597E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 899.139 | TFLOPs: 22.91 |
7:  iteration    16060/   37905 | consumed samples:      4111360 | consumed tokens:   8420065280 | elapsed time per iteration (s): 0.26 | learning rate: 1.330E-05 | global batch size:   256 | lm loss: 3.509384E+00 | grad norm: 0.685 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.194 | TFLOPs: 25.45 |
7:  iteration    16070/   37905 | consumed samples:      4113920 | consumed tokens:   8425308160 | elapsed time per iteration (s): 0.29 | learning rate: 1.329E-05 | global batch size:   256 | lm loss: 3.458788E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 894.943 | TFLOPs: 22.80 |
7:  iteration    16080/   37905 | consumed samples:      4116480 | consumed tokens:   8430551040 | elapsed time per iteration (s): 0.30 | learning rate: 1.328E-05 | global batch size:   256 | lm loss: 3.455459E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 863.723 | TFLOPs: 22.00 |
7:  iteration    16090/   37905 | consumed samples:      4119040 | consumed tokens:   8435793920 | elapsed time per iteration (s): 0.31 | learning rate: 1.327E-05 | global batch size:   256 | lm loss: 3.475223E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 828.017 | TFLOPs: 21.09 |
7:  iteration    16100/   37905 | consumed samples:      4121600 | consumed tokens:   8441036800 | elapsed time per iteration (s): 0.28 | learning rate: 1.327E-05 | global batch size:   256 | lm loss: 3.440699E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.772 | TFLOPs: 23.64 |
7:  iteration    16110/   37905 | consumed samples:      4124160 | consumed tokens:   8446279680 | elapsed time per iteration (s): 0.30 | learning rate: 1.326E-05 | global batch size:   256 | lm loss: 3.478965E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 839.751 | TFLOPs: 21.39 |
7:  iteration    16120/   37905 | consumed samples:      4126720 | consumed tokens:   8451522560 | elapsed time per iteration (s): 0.33 | learning rate: 1.325E-05 | global batch size:   256 | lm loss: 3.487030E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 775.375 | TFLOPs: 19.75 |
7:  iteration    16130/   37905 | consumed samples:      4129280 | consumed tokens:   8456765440 | elapsed time per iteration (s): 0.26 | learning rate: 1.325E-05 | global batch size:   256 | lm loss: 3.460480E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.216 | TFLOPs: 25.23 |
7:  iteration    16140/   37905 | consumed samples:      4131840 | consumed tokens:   8462008320 | elapsed time per iteration (s): 0.29 | learning rate: 1.324E-05 | global batch size:   256 | lm loss: 3.438239E+00 | grad norm: 0.584 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 888.878 | TFLOPs: 22.64 |
7:  iteration    16150/   37905 | consumed samples:      4134400 | consumed tokens:   8467251200 | elapsed time per iteration (s): 0.29 | learning rate: 1.323E-05 | global batch size:   256 | lm loss: 3.467435E+00 | grad norm: 0.606 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.586 | TFLOPs: 22.53 |
7:  iteration    16160/   37905 | consumed samples:      4136960 | consumed tokens:   8472494080 | elapsed time per iteration (s): 0.35 | learning rate: 1.322E-05 | global batch size:   256 | lm loss: 3.463282E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 740.176 | TFLOPs: 18.86 |
7:  iteration    16170/   37905 | consumed samples:      4139520 | consumed tokens:   8477736960 | elapsed time per iteration (s): 0.24 | learning rate: 1.322E-05 | global batch size:   256 | lm loss: 3.453241E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.462 | TFLOPs: 26.68 |
7:  iteration    16180/   37905 | consumed samples:      4142080 | consumed tokens:   8482979840 | elapsed time per iteration (s): 0.32 | learning rate: 1.321E-05 | global batch size:   256 | lm loss: 3.484665E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 799.344 | TFLOPs: 20.36 |
7:  iteration    16190/   37905 | consumed samples:      4144640 | consumed tokens:   8488222720 | elapsed time per iteration (s): 0.23 | learning rate: 1.320E-05 | global batch size:   256 | lm loss: 3.435737E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.174 | TFLOPs: 28.46 |
7:  iteration    16200/   37905 | consumed samples:      4147200 | consumed tokens:   8493465600 | elapsed time per iteration (s): 0.33 | learning rate: 1.319E-05 | global batch size:   256 | lm loss: 3.462700E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 777.487 | TFLOPs: 19.81 |
7:  iteration    16210/   37905 | consumed samples:      4149760 | consumed tokens:   8498708480 | elapsed time per iteration (s): 0.27 | learning rate: 1.319E-05 | global batch size:   256 | lm loss: 3.459695E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.966 | TFLOPs: 24.15 |
7:  iteration    16220/   37905 | consumed samples:      4152320 | consumed tokens:   8503951360 | elapsed time per iteration (s): 0.30 | learning rate: 1.318E-05 | global batch size:   256 | lm loss: 3.449913E+00 | grad norm: 0.627 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 849.830 | TFLOPs: 21.65 |
7:  iteration    16230/   37905 | consumed samples:      4154880 | consumed tokens:   8509194240 | elapsed time per iteration (s): 0.28 | learning rate: 1.317E-05 | global batch size:   256 | lm loss: 3.456657E+00 | grad norm: 0.690 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.082 | TFLOPs: 23.24 |
7:  iteration    16240/   37905 | consumed samples:      4157440 | consumed tokens:   8514437120 | elapsed time per iteration (s): 0.29 | learning rate: 1.317E-05 | global batch size:   256 | lm loss: 3.445802E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.323 | TFLOPs: 22.32 |
7:  iteration    16250/   37905 | consumed samples:      4160000 | consumed tokens:   8519680000 | elapsed time per iteration (s): 0.28 | learning rate: 1.316E-05 | global batch size:   256 | lm loss: 3.481768E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.968 | TFLOPs: 23.44 |
7:  iteration    16260/   37905 | consumed samples:      4162560 | consumed tokens:   8524922880 | elapsed time per iteration (s): 0.31 | learning rate: 1.315E-05 | global batch size:   256 | lm loss: 3.447499E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 813.380 | TFLOPs: 20.72 |
7:  iteration    16270/   37905 | consumed samples:      4165120 | consumed tokens:   8530165760 | elapsed time per iteration (s): 0.30 | learning rate: 1.314E-05 | global batch size:   256 | lm loss: 3.438284E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 867.300 | TFLOPs: 22.09 |
7:  iteration    16280/   37905 | consumed samples:      4167680 | consumed tokens:   8535408640 | elapsed time per iteration (s): 0.27 | learning rate: 1.314E-05 | global batch size:   256 | lm loss: 3.458420E+00 | grad norm: 0.607 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.531 | TFLOPs: 23.73 |
7:  iteration    16290/   37905 | consumed samples:      4170240 | consumed tokens:   8540651520 | elapsed time per iteration (s): 0.29 | learning rate: 1.313E-05 | global batch size:   256 | lm loss: 3.478169E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 879.373 | TFLOPs: 22.40 |
7:  iteration    16300/   37905 | consumed samples:      4172800 | consumed tokens:   8545894400 | elapsed time per iteration (s): 0.30 | learning rate: 1.312E-05 | global batch size:   256 | lm loss: 3.453764E+00 | grad norm: 0.729 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 854.814 | TFLOPs: 21.78 |
7:  iteration    16310/   37905 | consumed samples:      4175360 | consumed tokens:   8551137280 | elapsed time per iteration (s): 0.27 | learning rate: 1.311E-05 | global batch size:   256 | lm loss: 3.482869E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.941 | TFLOPs: 23.77 |
7:  iteration    16320/   37905 | consumed samples:      4177920 | consumed tokens:   8556380160 | elapsed time per iteration (s): 0.31 | learning rate: 1.311E-05 | global batch size:   256 | lm loss: 3.487671E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 819.168 | TFLOPs: 20.87 |
7:  iteration    16330/   37905 | consumed samples:      4180480 | consumed tokens:   8561623040 | elapsed time per iteration (s): 0.27 | learning rate: 1.310E-05 | global batch size:   256 | lm loss: 3.450891E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 944.457 | TFLOPs: 24.06 |
7:  iteration    16340/   37905 | consumed samples:      4183040 | consumed tokens:   8566865920 | elapsed time per iteration (s): 0.31 | learning rate: 1.309E-05 | global batch size:   256 | lm loss: 3.473477E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 817.764 | TFLOPs: 20.83 |
7:  iteration    16350/   37905 | consumed samples:      4185600 | consumed tokens:   8572108800 | elapsed time per iteration (s): 0.25 | learning rate: 1.308E-05 | global batch size:   256 | lm loss: 3.455174E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.218 | TFLOPs: 25.58 |
7:  iteration    16360/   37905 | consumed samples:      4188160 | consumed tokens:   8577351680 | elapsed time per iteration (s): 0.27 | learning rate: 1.308E-05 | global batch size:   256 | lm loss: 3.476480E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.614 | TFLOPs: 23.91 |
7:  iteration    16370/   37905 | consumed samples:      4190720 | consumed tokens:   8582594560 | elapsed time per iteration (s): 0.30 | learning rate: 1.307E-05 | global batch size:   256 | lm loss: 3.488158E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 859.204 | TFLOPs: 21.89 |
7:  iteration    16380/   37905 | consumed samples:      4193280 | consumed tokens:   8587837440 | elapsed time per iteration (s): 0.23 | learning rate: 1.306E-05 | global batch size:   256 | lm loss: 3.489090E+00 | grad norm: 0.757 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.770 | TFLOPs: 28.30 |
7:  iteration    16390/   37905 | consumed samples:      4195840 | consumed tokens:   8593080320 | elapsed time per iteration (s): 0.27 | learning rate: 1.306E-05 | global batch size:   256 | lm loss: 3.459623E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.553 | TFLOPs: 24.42 |
7:  iteration    16400/   37905 | consumed samples:      4198400 | consumed tokens:   8598323200 | elapsed time per iteration (s): 0.30 | learning rate: 1.305E-05 | global batch size:   256 | lm loss: 3.480584E+00 | grad norm: 0.679 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 864.387 | TFLOPs: 22.02 |
7:  iteration    16410/   37905 | consumed samples:      4200960 | consumed tokens:   8603566080 | elapsed time per iteration (s): 0.26 | learning rate: 1.304E-05 | global batch size:   256 | lm loss: 3.456369E+00 | grad norm: 0.591 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.018 | TFLOPs: 25.37 |
7:  iteration    16420/   37905 | consumed samples:      4203520 | consumed tokens:   8608808960 | elapsed time per iteration (s): 0.27 | learning rate: 1.303E-05 | global batch size:   256 | lm loss: 3.451302E+00 | grad norm: 0.629 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.859 | TFLOPs: 23.76 |
7:  iteration    16430/   37905 | consumed samples:      4206080 | consumed tokens:   8614051840 | elapsed time per iteration (s): 0.31 | learning rate: 1.303E-05 | global batch size:   256 | lm loss: 3.466518E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 814.193 | TFLOPs: 20.74 |
7:  iteration    16440/   37905 | consumed samples:      4208640 | consumed tokens:   8619294720 | elapsed time per iteration (s): 0.28 | learning rate: 1.302E-05 | global batch size:   256 | lm loss: 3.463955E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.738 | TFLOPs: 23.12 |
7:  iteration    16450/   37905 | consumed samples:      4211200 | consumed tokens:   8624537600 | elapsed time per iteration (s): 0.30 | learning rate: 1.301E-05 | global batch size:   256 | lm loss: 3.437375E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 851.652 | TFLOPs: 21.70 |
7:  iteration    16460/   37905 | consumed samples:      4213760 | consumed tokens:   8629780480 | elapsed time per iteration (s): 0.27 | learning rate: 1.300E-05 | global batch size:   256 | lm loss: 3.443393E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.315 | TFLOPs: 23.83 |
7:  iteration    16470/   37905 | consumed samples:      4216320 | consumed tokens:   8635023360 | elapsed time per iteration (s): 0.29 | learning rate: 1.300E-05 | global batch size:   256 | lm loss: 3.467690E+00 | grad norm: 0.682 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.618 | TFLOPs: 22.54 |
7:  iteration    16480/   37905 | consumed samples:      4218880 | consumed tokens:   8640266240 | elapsed time per iteration (s): 0.26 | learning rate: 1.299E-05 | global batch size:   256 | lm loss: 3.503239E+00 | grad norm: 0.760 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.415 | TFLOPs: 24.62 |
7:  iteration    16490/   37905 | consumed samples:      4221440 | consumed tokens:   8645509120 | elapsed time per iteration (s): 0.32 | learning rate: 1.298E-05 | global batch size:   256 | lm loss: 3.459656E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 806.645 | TFLOPs: 20.55 |
7:  iteration    16500/   37905 | consumed samples:      4224000 | consumed tokens:   8650752000 | elapsed time per iteration (s): 0.26 | learning rate: 1.297E-05 | global batch size:   256 | lm loss: 3.480186E+00 | grad norm: 0.848 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.672 | TFLOPs: 25.54 |
7:  iteration    16510/   37905 | consumed samples:      4226560 | consumed tokens:   8655994880 | elapsed time per iteration (s): 0.33 | learning rate: 1.297E-05 | global batch size:   256 | lm loss: 3.458599E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 784.210 | TFLOPs: 19.98 |
7:  iteration    16520/   37905 | consumed samples:      4229120 | consumed tokens:   8661237760 | elapsed time per iteration (s): 0.26 | learning rate: 1.296E-05 | global batch size:   256 | lm loss: 3.466642E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.416 | TFLOPs: 25.54 |
7:  iteration    16530/   37905 | consumed samples:      4231680 | consumed tokens:   8666480640 | elapsed time per iteration (s): 0.29 | learning rate: 1.295E-05 | global batch size:   256 | lm loss: 3.465757E+00 | grad norm: 0.716 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.698 | TFLOPs: 22.36 |
7:  iteration    16540/   37905 | consumed samples:      4234240 | consumed tokens:   8671723520 | elapsed time per iteration (s): 0.25 | learning rate: 1.295E-05 | global batch size:   256 | lm loss: 3.444501E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.563 | TFLOPs: 25.64 |
7:  iteration    16550/   37905 | consumed samples:      4236800 | consumed tokens:   8676966400 | elapsed time per iteration (s): 0.30 | learning rate: 1.294E-05 | global batch size:   256 | lm loss: 3.477543E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 860.444 | TFLOPs: 21.92 |
7:  iteration    16560/   37905 | consumed samples:      4239360 | consumed tokens:   8682209280 | elapsed time per iteration (s): 0.27 | learning rate: 1.293E-05 | global batch size:   256 | lm loss: 3.426116E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.362 | TFLOPs: 24.59 |
7:  iteration    16570/   37905 | consumed samples:      4241920 | consumed tokens:   8687452160 | elapsed time per iteration (s): 0.30 | learning rate: 1.292E-05 | global batch size:   256 | lm loss: 3.431077E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 852.723 | TFLOPs: 21.72 |
7:  iteration    16580/   37905 | consumed samples:      4244480 | consumed tokens:   8692695040 | elapsed time per iteration (s): 0.28 | learning rate: 1.292E-05 | global batch size:   256 | lm loss: 3.488037E+00 | grad norm: 0.772 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.454 | TFLOPs: 23.53 |
7:  iteration    16590/   37905 | consumed samples:      4247040 | consumed tokens:   8697937920 | elapsed time per iteration (s): 0.27 | learning rate: 1.291E-05 | global batch size:   256 | lm loss: 3.472750E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.050 | TFLOPs: 23.72 |
7:  iteration    16600/   37905 | consumed samples:      4249600 | consumed tokens:   8703180800 | elapsed time per iteration (s): 0.30 | learning rate: 1.290E-05 | global batch size:   256 | lm loss: 3.415442E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 850.288 | TFLOPs: 21.66 |
7:  iteration    16610/   37905 | consumed samples:      4252160 | consumed tokens:   8708423680 | elapsed time per iteration (s): 0.28 | learning rate: 1.289E-05 | global batch size:   256 | lm loss: 3.494097E+00 | grad norm: 0.699 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.247 | TFLOPs: 23.06 |
7:  iteration    16620/   37905 | consumed samples:      4254720 | consumed tokens:   8713666560 | elapsed time per iteration (s): 0.26 | learning rate: 1.289E-05 | global batch size:   256 | lm loss: 3.470398E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.921 | TFLOPs: 25.04 |
7:  iteration    16630/   37905 | consumed samples:      4257280 | consumed tokens:   8718909440 | elapsed time per iteration (s): 0.29 | learning rate: 1.288E-05 | global batch size:   256 | lm loss: 3.471285E+00 | grad norm: 0.821 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.388 | TFLOPs: 22.22 |
7:  iteration    16640/   37905 | consumed samples:      4259840 | consumed tokens:   8724152320 | elapsed time per iteration (s): 0.27 | learning rate: 1.287E-05 | global batch size:   256 | lm loss: 3.452585E+00 | grad norm: 0.658 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.489 | TFLOPs: 24.57 |
7:  iteration    16650/   37905 | consumed samples:      4262400 | consumed tokens:   8729395200 | elapsed time per iteration (s): 0.34 | learning rate: 1.286E-05 | global batch size:   256 | lm loss: 3.446162E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 759.298 | TFLOPs: 19.34 |
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7:  iteration    16710/   37905 | consumed samples:      4277760 | consumed tokens:   8760852480 | elapsed time per iteration (s): 0.28 | learning rate: 1.282E-05 | global batch size:   256 | lm loss: 3.456865E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.121 | TFLOPs: 23.26 |
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7:  iteration    16750/   37905 | consumed samples:      4288000 | consumed tokens:   8781824000 | elapsed time per iteration (s): 0.28 | learning rate: 1.279E-05 | global batch size:   256 | lm loss: 3.471821E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.725 | TFLOPs: 23.35 |
7:  iteration    16760/   37905 | consumed samples:      4290560 | consumed tokens:   8787066880 | elapsed time per iteration (s): 0.28 | learning rate: 1.278E-05 | global batch size:   256 | lm loss: 3.454802E+00 | grad norm: 0.702 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 922.907 | TFLOPs: 23.51 |
7:  iteration    16770/   37905 | consumed samples:      4293120 | consumed tokens:   8792309760 | elapsed time per iteration (s): 0.27 | learning rate: 1.278E-05 | global batch size:   256 | lm loss: 3.426625E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.391 | TFLOPs: 24.49 |
7:  iteration    16780/   37905 | consumed samples:      4295680 | consumed tokens:   8797552640 | elapsed time per iteration (s): 0.30 | learning rate: 1.277E-05 | global batch size:   256 | lm loss: 3.468871E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 864.475 | TFLOPs: 22.02 |
7:  iteration    16790/   37905 | consumed samples:      4298240 | consumed tokens:   8802795520 | elapsed time per iteration (s): 0.28 | learning rate: 1.276E-05 | global batch size:   256 | lm loss: 3.432617E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.818 | TFLOPs: 23.31 |
7:  iteration    16800/   37905 | consumed samples:      4300800 | consumed tokens:   8808038400 | elapsed time per iteration (s): 0.34 | learning rate: 1.275E-05 | global batch size:   256 | lm loss: 3.463445E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 760.207 | TFLOPs: 19.37 |
7:  iteration    16810/   37905 | consumed samples:      4303360 | consumed tokens:   8813281280 | elapsed time per iteration (s): 0.28 | learning rate: 1.275E-05 | global batch size:   256 | lm loss: 3.423123E+00 | grad norm: 0.671 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.328 | TFLOPs: 23.29 |
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7:  iteration    16840/   37905 | consumed samples:      4311040 | consumed tokens:   8829009920 | elapsed time per iteration (s): 0.25 | learning rate: 1.272E-05 | global batch size:   256 | lm loss: 3.428432E+00 | grad norm: 0.584 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.077 | TFLOPs: 26.57 |
7:  iteration    16850/   37905 | consumed samples:      4313600 | consumed tokens:   8834252800 | elapsed time per iteration (s): 0.31 | learning rate: 1.272E-05 | global batch size:   256 | lm loss: 3.444888E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 838.456 | TFLOPs: 21.36 |
7:  iteration    16860/   37905 | consumed samples:      4316160 | consumed tokens:   8839495680 | elapsed time per iteration (s): 0.28 | learning rate: 1.271E-05 | global batch size:   256 | lm loss: 3.463231E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.073 | TFLOPs: 23.01 |
7:  iteration    16870/   37905 | consumed samples:      4318720 | consumed tokens:   8844738560 | elapsed time per iteration (s): 0.27 | learning rate: 1.270E-05 | global batch size:   256 | lm loss: 3.467297E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.871 | TFLOPs: 24.61 |
7:  iteration    16880/   37905 | consumed samples:      4321280 | consumed tokens:   8849981440 | elapsed time per iteration (s): 0.32 | learning rate: 1.269E-05 | global batch size:   256 | lm loss: 3.432099E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 798.713 | TFLOPs: 20.35 |
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7:  iteration    16900/   37905 | consumed samples:      4326400 | consumed tokens:   8860467200 | elapsed time per iteration (s): 0.33 | learning rate: 1.268E-05 | global batch size:   256 | lm loss: 3.433910E+00 | grad norm: 0.729 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 774.980 | TFLOPs: 19.74 |
7:  iteration    16910/   37905 | consumed samples:      4328960 | consumed tokens:   8865710080 | elapsed time per iteration (s): 0.29 | learning rate: 1.267E-05 | global batch size:   256 | lm loss: 3.426105E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.615 | TFLOPs: 22.87 |
7:  iteration    16920/   37905 | consumed samples:      4331520 | consumed tokens:   8870952960 | elapsed time per iteration (s): 0.29 | learning rate: 1.266E-05 | global batch size:   256 | lm loss: 3.424649E+00 | grad norm: 0.658 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.487 | TFLOPs: 22.35 |
7:  iteration    16930/   37905 | consumed samples:      4334080 | consumed tokens:   8876195840 | elapsed time per iteration (s): 0.31 | learning rate: 1.266E-05 | global batch size:   256 | lm loss: 3.433221E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 825.252 | TFLOPs: 21.02 |
7:  iteration    16940/   37905 | consumed samples:      4336640 | consumed tokens:   8881438720 | elapsed time per iteration (s): 0.26 | learning rate: 1.265E-05 | global batch size:   256 | lm loss: 3.452138E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.286 | TFLOPs: 25.15 |
7:  iteration    16950/   37905 | consumed samples:      4339200 | consumed tokens:   8886681600 | elapsed time per iteration (s): 0.31 | learning rate: 1.264E-05 | global batch size:   256 | lm loss: 3.423523E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 822.555 | TFLOPs: 20.95 |
7:  iteration    16960/   37905 | consumed samples:      4341760 | consumed tokens:   8891924480 | elapsed time per iteration (s): 0.28 | learning rate: 1.263E-05 | global batch size:   256 | lm loss: 3.444768E+00 | grad norm: 0.573 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.575 | TFLOPs: 23.25 |
7:  iteration    16970/   37905 | consumed samples:      4344320 | consumed tokens:   8897167360 | elapsed time per iteration (s): 0.31 | learning rate: 1.263E-05 | global batch size:   256 | lm loss: 3.441465E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 832.165 | TFLOPs: 21.20 |
7:  iteration    16980/   37905 | consumed samples:      4346880 | consumed tokens:   8902410240 | elapsed time per iteration (s): 0.28 | learning rate: 1.262E-05 | global batch size:   256 | lm loss: 3.490784E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.070 | TFLOPs: 23.26 |
7:  iteration    16990/   37905 | consumed samples:      4349440 | consumed tokens:   8907653120 | elapsed time per iteration (s): 0.29 | learning rate: 1.261E-05 | global batch size:   256 | lm loss: 3.469633E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.844 | TFLOPs: 22.57 |
7:  iteration    17000/   37905 | consumed samples:      4352000 | consumed tokens:   8912896000 | elapsed time per iteration (s): 0.27 | learning rate: 1.261E-05 | global batch size:   256 | lm loss: 3.472355E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.801 | TFLOPs: 24.37 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 17000 | lm loss value: 3.390864E+00 | lm loss PPL: 2.969158E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   17000 to checkpoints_83slr
0: [2022-11-28 16:27:00,256] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step17000 is begin to save!
0: [2022-11-28 16:27:00,260] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:27:00,332] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:27:00,332] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_03-model_00-model_states.pt...
0: [2022-11-28 16:27:00,344] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_03-model_00-model_states.pt.
0: [2022-11-28 16:27:00,345] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_04-model_00-model_states.pt...
0: [2022-11-28 16:27:00,356] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_04-model_00-model_states.pt.
0: [2022-11-28 16:27:00,356] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_05-model_00-model_states.pt...
0: [2022-11-28 16:27:00,367] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_05-model_00-model_states.pt.
0: [2022-11-28 16:27:00,367] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_06-model_00-model_states.pt...
0: [2022-11-28 16:27:00,378] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_06-model_00-model_states.pt.
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0: [2022-11-28 16:27:00,390] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_07-model_00-model_states.pt.
0: [2022-11-28 16:27:00,390] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_08-model_00-model_states.pt...
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0: [2022-11-28 16:27:00,413] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_10-model_00-model_states.pt...
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0: [2022-11-28 16:27:00,424] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_11-model_00-model_states.pt...
0: [2022-11-28 16:27:00,435] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_11-model_00-model_states.pt.
0: [2022-11-28 16:27:00,435] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_12-model_00-model_states.pt...
0: [2022-11-28 16:27:00,446] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_12-model_00-model_states.pt.
0: [2022-11-28 16:27:00,446] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/layer_14-model_00-model_states.pt...
0: [2022-11-28 16:27:00,447] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/layer_14-model_00-model_states.pt.
0: [2022-11-28 16:27:00,448] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step17000/mp_rank_00_model_states.pt
0: [2022-11-28 16:27:00,448] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/mp_rank_00_model_states.pt...
0: [2022-11-28 16:27:00,450] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/mp_rank_00_model_states.pt.
0: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
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0: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:27:00,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step17000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
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2: [2022-11-28 16:27:00,496] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now!
3: [2022-11-28 16:27:00,496] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:27:00,496] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
3: [2022-11-28 16:27:00,496] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now!
7: [2022-11-28 16:27:00,496] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:27:00,497] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
7: [2022-11-28 16:27:00,497] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now!
7: [2022-11-28 16:27:00,497] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:27:00,497] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
7: [2022-11-28 16:27:00,497] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now!
2: [2022-11-28 16:27:00,497] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:27:00,497] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step17000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
2: [2022-11-28 16:27:00,497] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now!
0:   successfully saved checkpoint at iteration   17000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 244.78
7:  iteration    17010/   37905 | consumed samples:      4354560 | consumed tokens:   8918138880 | elapsed time per iteration (s): 0.30 | learning rate: 1.260E-05 | global batch size:   256 | lm loss: 3.453725E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 842.136 | TFLOPs: 21.45 |
7:  iteration    17020/   37905 | consumed samples:      4357120 | consumed tokens:   8923381760 | elapsed time per iteration (s): 0.27 | learning rate: 1.259E-05 | global batch size:   256 | lm loss: 3.479868E+00 | grad norm: 0.706 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 939.500 | TFLOPs: 23.93 |
7:  iteration    17030/   37905 | consumed samples:      4359680 | consumed tokens:   8928624640 | elapsed time per iteration (s): 0.28 | learning rate: 1.258E-05 | global batch size:   256 | lm loss: 3.468819E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.284 | TFLOPs: 23.14 |
7:  iteration    17040/   37905 | consumed samples:      4362240 | consumed tokens:   8933867520 | elapsed time per iteration (s): 0.28 | learning rate: 1.258E-05 | global batch size:   256 | lm loss: 3.473338E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.892 | TFLOPs: 23.61 |
7:  iteration    17050/   37905 | consumed samples:      4364800 | consumed tokens:   8939110400 | elapsed time per iteration (s): 0.29 | learning rate: 1.257E-05 | global batch size:   256 | lm loss: 3.475377E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 888.744 | TFLOPs: 22.64 |
7:  iteration    17060/   37905 | consumed samples:      4367360 | consumed tokens:   8944353280 | elapsed time per iteration (s): 0.31 | learning rate: 1.256E-05 | global batch size:   256 | lm loss: 3.394349E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 834.825 | TFLOPs: 21.27 |
7:  iteration    17070/   37905 | consumed samples:      4369920 | consumed tokens:   8949596160 | elapsed time per iteration (s): 0.30 | learning rate: 1.255E-05 | global batch size:   256 | lm loss: 3.461031E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 856.028 | TFLOPs: 21.81 |
7:  iteration    17080/   37905 | consumed samples:      4372480 | consumed tokens:   8954839040 | elapsed time per iteration (s): 0.27 | learning rate: 1.255E-05 | global batch size:   256 | lm loss: 3.456451E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.298 | TFLOPs: 24.34 |
7:  iteration    17090/   37905 | consumed samples:      4375040 | consumed tokens:   8960081920 | elapsed time per iteration (s): 0.34 | learning rate: 1.254E-05 | global batch size:   256 | lm loss: 3.458184E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 744.689 | TFLOPs: 18.97 |
7:  iteration    17100/   37905 | consumed samples:      4377600 | consumed tokens:   8965324800 | elapsed time per iteration (s): 0.29 | learning rate: 1.253E-05 | global batch size:   256 | lm loss: 3.444262E+00 | grad norm: 0.704 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.349 | TFLOPs: 22.38 |
7:  iteration    17110/   37905 | consumed samples:      4380160 | consumed tokens:   8970567680 | elapsed time per iteration (s): 0.32 | learning rate: 1.252E-05 | global batch size:   256 | lm loss: 3.428325E+00 | grad norm: 0.639 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 811.603 | TFLOPs: 20.68 |
7:  iteration    17120/   37905 | consumed samples:      4382720 | consumed tokens:   8975810560 | elapsed time per iteration (s): 0.35 | learning rate: 1.252E-05 | global batch size:   256 | lm loss: 3.492543E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 737.843 | TFLOPs: 18.80 |
7:  iteration    17130/   37905 | consumed samples:      4385280 | consumed tokens:   8981053440 | elapsed time per iteration (s): 0.31 | learning rate: 1.251E-05 | global batch size:   256 | lm loss: 3.419321E+00 | grad norm: 0.644 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 838.949 | TFLOPs: 21.37 |
7:  iteration    17140/   37905 | consumed samples:      4387840 | consumed tokens:   8986296320 | elapsed time per iteration (s): 0.30 | learning rate: 1.250E-05 | global batch size:   256 | lm loss: 3.447132E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 853.780 | TFLOPs: 21.75 |
7:  iteration    17150/   37905 | consumed samples:      4390400 | consumed tokens:   8991539200 | elapsed time per iteration (s): 0.27 | learning rate: 1.249E-05 | global batch size:   256 | lm loss: 3.454379E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.790 | TFLOPs: 24.45 |
7:  iteration    17160/   37905 | consumed samples:      4392960 | consumed tokens:   8996782080 | elapsed time per iteration (s): 0.34 | learning rate: 1.249E-05 | global batch size:   256 | lm loss: 3.444679E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 747.493 | TFLOPs: 19.04 |
7:  iteration    17170/   37905 | consumed samples:      4395520 | consumed tokens:   9002024960 | elapsed time per iteration (s): 0.29 | learning rate: 1.248E-05 | global batch size:   256 | lm loss: 3.474900E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 890.717 | TFLOPs: 22.69 |
7:  iteration    17180/   37905 | consumed samples:      4398080 | consumed tokens:   9007267840 | elapsed time per iteration (s): 0.30 | learning rate: 1.247E-05 | global batch size:   256 | lm loss: 3.436194E+00 | grad norm: 0.670 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 867.334 | TFLOPs: 22.10 |
7:  iteration    17190/   37905 | consumed samples:      4400640 | consumed tokens:   9012510720 | elapsed time per iteration (s): 0.31 | learning rate: 1.246E-05 | global batch size:   256 | lm loss: 3.470596E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 834.630 | TFLOPs: 21.26 |
7:  iteration    17200/   37905 | consumed samples:      4403200 | consumed tokens:   9017753600 | elapsed time per iteration (s): 0.33 | learning rate: 1.246E-05 | global batch size:   256 | lm loss: 3.389486E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 772.956 | TFLOPs: 19.69 |
7:  iteration    17210/   37905 | consumed samples:      4405760 | consumed tokens:   9022996480 | elapsed time per iteration (s): 0.25 | learning rate: 1.245E-05 | global batch size:   256 | lm loss: 3.424329E+00 | grad norm: 0.697 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.136 | TFLOPs: 25.96 |
7:  iteration    17220/   37905 | consumed samples:      4408320 | consumed tokens:   9028239360 | elapsed time per iteration (s): 0.30 | learning rate: 1.244E-05 | global batch size:   256 | lm loss: 3.413523E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.244 | TFLOPs: 21.48 |
7:  iteration    17230/   37905 | consumed samples:      4410880 | consumed tokens:   9033482240 | elapsed time per iteration (s): 0.24 | learning rate: 1.243E-05 | global batch size:   256 | lm loss: 3.475737E+00 | grad norm: 0.596 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1079.962 | TFLOPs: 27.51 |
7:  iteration    17240/   37905 | consumed samples:      4413440 | consumed tokens:   9038725120 | elapsed time per iteration (s): 0.28 | learning rate: 1.243E-05 | global batch size:   256 | lm loss: 3.470719E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.347 | TFLOPs: 23.37 |
7:  iteration    17250/   37905 | consumed samples:      4416000 | consumed tokens:   9043968000 | elapsed time per iteration (s): 0.27 | learning rate: 1.242E-05 | global batch size:   256 | lm loss: 3.438978E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.351 | TFLOPs: 24.29 |
7:  iteration    17260/   37905 | consumed samples:      4418560 | consumed tokens:   9049210880 | elapsed time per iteration (s): 0.30 | learning rate: 1.241E-05 | global batch size:   256 | lm loss: 3.439927E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 839.864 | TFLOPs: 21.40 |
7:  iteration    17270/   37905 | consumed samples:      4421120 | consumed tokens:   9054453760 | elapsed time per iteration (s): 0.25 | learning rate: 1.240E-05 | global batch size:   256 | lm loss: 3.463953E+00 | grad norm: 0.668 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.924 | TFLOPs: 25.88 |
7:  iteration    17280/   37905 | consumed samples:      4423680 | consumed tokens:   9059696640 | elapsed time per iteration (s): 0.28 | learning rate: 1.240E-05 | global batch size:   256 | lm loss: 3.451953E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 920.642 | TFLOPs: 23.45 |
7:  iteration    17290/   37905 | consumed samples:      4426240 | consumed tokens:   9064939520 | elapsed time per iteration (s): 0.27 | learning rate: 1.239E-05 | global batch size:   256 | lm loss: 3.450143E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.544 | TFLOPs: 23.99 |
7:  iteration    17300/   37905 | consumed samples:      4428800 | consumed tokens:   9070182400 | elapsed time per iteration (s): 0.28 | learning rate: 1.238E-05 | global batch size:   256 | lm loss: 3.458135E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.960 | TFLOPs: 23.21 |
7:  iteration    17310/   37905 | consumed samples:      4431360 | consumed tokens:   9075425280 | elapsed time per iteration (s): 0.29 | learning rate: 1.237E-05 | global batch size:   256 | lm loss: 3.421070E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.492 | TFLOPs: 22.33 |
7:  iteration    17320/   37905 | consumed samples:      4433920 | consumed tokens:   9080668160 | elapsed time per iteration (s): 0.27 | learning rate: 1.237E-05 | global batch size:   256 | lm loss: 3.435265E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.600 | TFLOPs: 23.96 |
7:  iteration    17330/   37905 | consumed samples:      4436480 | consumed tokens:   9085911040 | elapsed time per iteration (s): 0.27 | learning rate: 1.236E-05 | global batch size:   256 | lm loss: 3.460705E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.693 | TFLOPs: 24.02 |
7:  iteration    17340/   37905 | consumed samples:      4439040 | consumed tokens:   9091153920 | elapsed time per iteration (s): 0.31 | learning rate: 1.235E-05 | global batch size:   256 | lm loss: 3.432376E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 837.536 | TFLOPs: 21.34 |
7:  iteration    17350/   37905 | consumed samples:      4441600 | consumed tokens:   9096396800 | elapsed time per iteration (s): 0.26 | learning rate: 1.235E-05 | global batch size:   256 | lm loss: 3.418800E+00 | grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.294 | TFLOPs: 25.10 |
7:  iteration    17360/   37905 | consumed samples:      4444160 | consumed tokens:   9101639680 | elapsed time per iteration (s): 0.31 | learning rate: 1.234E-05 | global batch size:   256 | lm loss: 3.403580E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 832.863 | TFLOPs: 21.22 |
7:  iteration    17370/   37905 | consumed samples:      4446720 | consumed tokens:   9106882560 | elapsed time per iteration (s): 0.29 | learning rate: 1.233E-05 | global batch size:   256 | lm loss: 3.418602E+00 | grad norm: 0.586 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.674 | TFLOPs: 22.72 |
7:  iteration    17380/   37905 | consumed samples:      4449280 | consumed tokens:   9112125440 | elapsed time per iteration (s): 0.26 | learning rate: 1.232E-05 | global batch size:   256 | lm loss: 3.455062E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.226 | TFLOPs: 25.20 |
7:  iteration    17390/   37905 | consumed samples:      4451840 | consumed tokens:   9117368320 | elapsed time per iteration (s): 0.30 | learning rate: 1.232E-05 | global batch size:   256 | lm loss: 3.480883E+00 | grad norm: 0.577 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 856.702 | TFLOPs: 21.82 |
7:  iteration    17400/   37905 | consumed samples:      4454400 | consumed tokens:   9122611200 | elapsed time per iteration (s): 0.30 | learning rate: 1.231E-05 | global batch size:   256 | lm loss: 3.445126E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.426 | TFLOPs: 21.49 |
7:  iteration    17410/   37905 | consumed samples:      4456960 | consumed tokens:   9127854080 | elapsed time per iteration (s): 0.23 | learning rate: 1.230E-05 | global batch size:   256 | lm loss: 3.435901E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.089 | TFLOPs: 28.20 |
7:  iteration    17420/   37905 | consumed samples:      4459520 | consumed tokens:   9133096960 | elapsed time per iteration (s): 0.30 | learning rate: 1.229E-05 | global batch size:   256 | lm loss: 3.437005E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 853.590 | TFLOPs: 21.75 |
7:  iteration    17430/   37905 | consumed samples:      4462080 | consumed tokens:   9138339840 | elapsed time per iteration (s): 0.27 | learning rate: 1.229E-05 | global batch size:   256 | lm loss: 3.457623E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.553 | TFLOPs: 24.01 |
7:  iteration    17440/   37905 | consumed samples:      4464640 | consumed tokens:   9143582720 | elapsed time per iteration (s): 0.27 | learning rate: 1.228E-05 | global batch size:   256 | lm loss: 3.423612E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 948.141 | TFLOPs: 24.15 |
7:  iteration    17450/   37905 | consumed samples:      4467200 | consumed tokens:   9148825600 | elapsed time per iteration (s): 0.28 | learning rate: 1.227E-05 | global batch size:   256 | lm loss: 3.459082E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 899.029 | TFLOPs: 22.90 |
7:  iteration    17460/   37905 | consumed samples:      4469760 | consumed tokens:   9154068480 | elapsed time per iteration (s): 0.31 | learning rate: 1.226E-05 | global batch size:   256 | lm loss: 3.466590E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 817.851 | TFLOPs: 20.83 |
7:  iteration    17470/   37905 | consumed samples:      4472320 | consumed tokens:   9159311360 | elapsed time per iteration (s): 0.26 | learning rate: 1.226E-05 | global batch size:   256 | lm loss: 3.408078E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.539 | TFLOPs: 25.57 |
7:  iteration    17480/   37905 | consumed samples:      4474880 | consumed tokens:   9164554240 | elapsed time per iteration (s): 0.30 | learning rate: 1.225E-05 | global batch size:   256 | lm loss: 3.453313E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 847.607 | TFLOPs: 21.59 |
7:  iteration    17490/   37905 | consumed samples:      4477440 | consumed tokens:   9169797120 | elapsed time per iteration (s): 0.24 | learning rate: 1.224E-05 | global batch size:   256 | lm loss: 3.471216E+00 | grad norm: 0.699 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.397 | TFLOPs: 26.94 |
7:  iteration    17500/   37905 | consumed samples:      4480000 | consumed tokens:   9175040000 | elapsed time per iteration (s): 0.29 | learning rate: 1.223E-05 | global batch size:   256 | lm loss: 3.421186E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 890.301 | TFLOPs: 22.68 |
7:  iteration    17510/   37905 | consumed samples:      4482560 | consumed tokens:   9180282880 | elapsed time per iteration (s): 0.28 | learning rate: 1.223E-05 | global batch size:   256 | lm loss: 3.410236E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.339 | TFLOPs: 23.47 |
7:  iteration    17520/   37905 | consumed samples:      4485120 | consumed tokens:   9185525760 | elapsed time per iteration (s): 0.27 | learning rate: 1.222E-05 | global batch size:   256 | lm loss: 3.442573E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.978 | TFLOPs: 23.77 |
7:  iteration    17530/   37905 | consumed samples:      4487680 | consumed tokens:   9190768640 | elapsed time per iteration (s): 0.26 | learning rate: 1.221E-05 | global batch size:   256 | lm loss: 3.480611E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.347 | TFLOPs: 25.03 |
7:  iteration    17540/   37905 | consumed samples:      4490240 | consumed tokens:   9196011520 | elapsed time per iteration (s): 0.30 | learning rate: 1.220E-05 | global batch size:   256 | lm loss: 3.489666E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 857.773 | TFLOPs: 21.85 |
7:  iteration    17550/   37905 | consumed samples:      4492800 | consumed tokens:   9201254400 | elapsed time per iteration (s): 0.23 | learning rate: 1.220E-05 | global batch size:   256 | lm loss: 3.447914E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.597 | TFLOPs: 28.22 |
7:  iteration    17560/   37905 | consumed samples:      4495360 | consumed tokens:   9206497280 | elapsed time per iteration (s): 0.27 | learning rate: 1.219E-05 | global batch size:   256 | lm loss: 3.427989E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.880 | TFLOPs: 24.15 |
7:  iteration    17570/   37905 | consumed samples:      4497920 | consumed tokens:   9211740160 | elapsed time per iteration (s): 0.25 | learning rate: 1.218E-05 | global batch size:   256 | lm loss: 3.425832E+00 | grad norm: 0.590 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.190 | TFLOPs: 25.84 |
7:  iteration    17580/   37905 | consumed samples:      4500480 | consumed tokens:   9216983040 | elapsed time per iteration (s): 0.29 | learning rate: 1.217E-05 | global batch size:   256 | lm loss: 3.460922E+00 | grad norm: 0.661 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.683 | TFLOPs: 22.74 |
7:  iteration    17590/   37905 | consumed samples:      4503040 | consumed tokens:   9222225920 | elapsed time per iteration (s): 0.27 | learning rate: 1.217E-05 | global batch size:   256 | lm loss: 3.416681E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.072 | TFLOPs: 24.59 |
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7:  iteration    17930/   37905 | consumed samples:      4590080 | consumed tokens:   9400483840 | elapsed time per iteration (s): 0.27 | learning rate: 1.191E-05 | global batch size:   256 | lm loss: 3.458816E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.960 | TFLOPs: 24.00 |
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7:  iteration    17950/   37905 | consumed samples:      4595200 | consumed tokens:   9410969600 | elapsed time per iteration (s): 0.27 | learning rate: 1.190E-05 | global batch size:   256 | lm loss: 3.448367E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.162 | TFLOPs: 23.75 |
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7:  iteration    17970/   37905 | consumed samples:      4600320 | consumed tokens:   9421455360 | elapsed time per iteration (s): 0.31 | learning rate: 1.188E-05 | global batch size:   256 | lm loss: 3.425061E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 823.275 | TFLOPs: 20.97 |
7:  iteration    17980/   37905 | consumed samples:      4602880 | consumed tokens:   9426698240 | elapsed time per iteration (s): 0.30 | learning rate: 1.187E-05 | global batch size:   256 | lm loss: 3.460375E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 857.890 | TFLOPs: 21.85 |
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0: [2022-11-28 16:31:40,220] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[1.185919000869689e-05, 1.185919000869689e-05, 1.185919000869689e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    18000/   37905 | consumed samples:      4608000 | consumed tokens:   9437184000 | elapsed time per iteration (s): 0.30 | learning rate: 1.186E-05 | global batch size:   256 | lm loss: 3.457455E+00 | grad norm: 0.598 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 854.250 | TFLOPs: 21.76 |
0: steps: 18000 loss: 3.4182 iter time (s): 0.282 samples/sec: 908.292
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 18000 | lm loss value: 3.207133E+00 | lm loss PPL: 2.470815E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   18000 to checkpoints_83slr
0: [2022-11-28 16:31:40,308] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step18000 is begin to save!
0: [2022-11-28 16:31:40,311] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:31:40,382] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 16:31:40,499] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 16:31:40,500] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step18000/mp_rank_00_model_states.pt
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0: [2022-11-28 16:31:40,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:31:40,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:31:40,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:31:40,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
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0: [2022-11-28 16:31:40,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:31:40,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:31:40,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step18000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
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5: [2022-11-28 16:31:40,548] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
0: [2022-11-28 16:31:40,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:31:40,548] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt
0: [2022-11-28 16:31:40,548] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
5: [2022-11-28 16:31:40,548] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
2: [2022-11-28 16:31:40,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:31:40,548] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
2: [2022-11-28 16:31:40,548] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
5: [2022-11-28 16:31:40,548] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
7: [2022-11-28 16:31:40,548] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:31:40,548] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
7: [2022-11-28 16:31:40,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt
7: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
5: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:31:40,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt
5: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
4: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:31:40,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
4: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
3: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:31:40,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
3: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
3: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:31:40,549] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step18000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
3: [2022-11-28 16:31:40,549] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now!
0:   successfully saved checkpoint at iteration   18000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 244.76
7:  iteration    18010/   37905 | consumed samples:      4610560 | consumed tokens:   9442426880 | elapsed time per iteration (s): 0.28 | learning rate: 1.185E-05 | global batch size:   256 | lm loss: 3.461059E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.514 | TFLOPs: 23.25 |
7:  iteration    18020/   37905 | consumed samples:      4613120 | consumed tokens:   9447669760 | elapsed time per iteration (s): 0.29 | learning rate: 1.184E-05 | global batch size:   256 | lm loss: 3.445941E+00 | grad norm: 0.572 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 875.735 | TFLOPs: 22.31 |
7:  iteration    18030/   37905 | consumed samples:      4615680 | consumed tokens:   9452912640 | elapsed time per iteration (s): 0.25 | learning rate: 1.184E-05 | global batch size:   256 | lm loss: 3.416612E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.453 | TFLOPs: 26.33 |
7:  iteration    18040/   37905 | consumed samples:      4618240 | consumed tokens:   9458155520 | elapsed time per iteration (s): 0.29 | learning rate: 1.183E-05 | global batch size:   256 | lm loss: 3.442250E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 870.051 | TFLOPs: 22.16 |
7:  iteration    18050/   37905 | consumed samples:      4620800 | consumed tokens:   9463398400 | elapsed time per iteration (s): 0.26 | learning rate: 1.182E-05 | global batch size:   256 | lm loss: 3.448041E+00 | grad norm: 0.688 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.796 | TFLOPs: 25.14 |
7:  iteration    18060/   37905 | consumed samples:      4623360 | consumed tokens:   9468641280 | elapsed time per iteration (s): 0.31 | learning rate: 1.181E-05 | global batch size:   256 | lm loss: 3.402919E+00 | grad norm: 0.629 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 827.216 | TFLOPs: 21.07 |
7:  iteration    18070/   37905 | consumed samples:      4625920 | consumed tokens:   9473884160 | elapsed time per iteration (s): 0.27 | learning rate: 1.181E-05 | global batch size:   256 | lm loss: 3.460738E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.234 | TFLOPs: 24.44 |
7:  iteration    18080/   37905 | consumed samples:      4628480 | consumed tokens:   9479127040 | elapsed time per iteration (s): 0.25 | learning rate: 1.180E-05 | global batch size:   256 | lm loss: 3.418606E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.428 | TFLOPs: 25.77 |
7:  iteration    18090/   37905 | consumed samples:      4631040 | consumed tokens:   9484369920 | elapsed time per iteration (s): 0.27 | learning rate: 1.179E-05 | global batch size:   256 | lm loss: 3.454042E+00 | grad norm: 0.605 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.391 | TFLOPs: 23.85 |
7:  iteration    18100/   37905 | consumed samples:      4633600 | consumed tokens:   9489612800 | elapsed time per iteration (s): 0.29 | learning rate: 1.178E-05 | global batch size:   256 | lm loss: 3.436939E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.183 | TFLOPs: 22.83 |
7:  iteration    18110/   37905 | consumed samples:      4636160 | consumed tokens:   9494855680 | elapsed time per iteration (s): 0.27 | learning rate: 1.178E-05 | global batch size:   256 | lm loss: 3.467097E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.710 | TFLOPs: 24.53 |
7:  iteration    18120/   37905 | consumed samples:      4638720 | consumed tokens:   9500098560 | elapsed time per iteration (s): 0.28 | learning rate: 1.177E-05 | global batch size:   256 | lm loss: 3.475306E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.561 | TFLOPs: 23.43 |
7:  iteration    18130/   37905 | consumed samples:      4641280 | consumed tokens:   9505341440 | elapsed time per iteration (s): 0.24 | learning rate: 1.176E-05 | global batch size:   256 | lm loss: 3.458461E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.893 | TFLOPs: 27.31 |
7:  iteration    18140/   37905 | consumed samples:      4643840 | consumed tokens:   9510584320 | elapsed time per iteration (s): 0.28 | learning rate: 1.175E-05 | global batch size:   256 | lm loss: 3.406001E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 904.602 | TFLOPs: 23.04 |
7:  iteration    18150/   37905 | consumed samples:      4646400 | consumed tokens:   9515827200 | elapsed time per iteration (s): 0.25 | learning rate: 1.175E-05 | global batch size:   256 | lm loss: 3.400169E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.928 | TFLOPs: 26.26 |
7:  iteration    18160/   37905 | consumed samples:      4648960 | consumed tokens:   9521070080 | elapsed time per iteration (s): 0.29 | learning rate: 1.174E-05 | global batch size:   256 | lm loss: 3.388362E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 868.320 | TFLOPs: 22.12 |
7:  iteration    18170/   37905 | consumed samples:      4651520 | consumed tokens:   9526312960 | elapsed time per iteration (s): 0.24 | learning rate: 1.173E-05 | global batch size:   256 | lm loss: 3.408631E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1069.524 | TFLOPs: 27.25 |
7:  iteration    18180/   37905 | consumed samples:      4654080 | consumed tokens:   9531555840 | elapsed time per iteration (s): 0.26 | learning rate: 1.172E-05 | global batch size:   256 | lm loss: 3.411512E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.238 | TFLOPs: 25.38 |
7:  iteration    18190/   37905 | consumed samples:      4656640 | consumed tokens:   9536798720 | elapsed time per iteration (s): 0.29 | learning rate: 1.172E-05 | global batch size:   256 | lm loss: 3.423678E+00 | grad norm: 0.577 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.005 | TFLOPs: 22.70 |
7:  iteration    18200/   37905 | consumed samples:      4659200 | consumed tokens:   9542041600 | elapsed time per iteration (s): 0.26 | learning rate: 1.171E-05 | global batch size:   256 | lm loss: 3.457578E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.487 | TFLOPs: 25.18 |
7:  iteration    18210/   37905 | consumed samples:      4661760 | consumed tokens:   9547284480 | elapsed time per iteration (s): 0.27 | learning rate: 1.170E-05 | global batch size:   256 | lm loss: 3.387893E+00 | grad norm: 0.668 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.408 | TFLOPs: 23.98 |
7:  iteration    18220/   37905 | consumed samples:      4664320 | consumed tokens:   9552527360 | elapsed time per iteration (s): 0.25 | learning rate: 1.169E-05 | global batch size:   256 | lm loss: 3.470214E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.619 | TFLOPs: 25.87 |
7:  iteration    18230/   37905 | consumed samples:      4666880 | consumed tokens:   9557770240 | elapsed time per iteration (s): 0.26 | learning rate: 1.169E-05 | global batch size:   256 | lm loss: 3.411555E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.263 | TFLOPs: 25.18 |
7:  iteration    18240/   37905 | consumed samples:      4669440 | consumed tokens:   9563013120 | elapsed time per iteration (s): 0.28 | learning rate: 1.168E-05 | global batch size:   256 | lm loss: 3.406985E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.178 | TFLOPs: 23.65 |
7:  iteration    18250/   37905 | consumed samples:      4672000 | consumed tokens:   9568256000 | elapsed time per iteration (s): 0.30 | learning rate: 1.167E-05 | global batch size:   256 | lm loss: 3.439644E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 842.750 | TFLOPs: 21.47 |
7:  iteration    18260/   37905 | consumed samples:      4674560 | consumed tokens:   9573498880 | elapsed time per iteration (s): 0.28 | learning rate: 1.166E-05 | global batch size:   256 | lm loss: 3.384452E+00 | grad norm: 0.607 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.740 | TFLOPs: 23.48 |
7:  iteration    18270/   37905 | consumed samples:      4677120 | consumed tokens:   9578741760 | elapsed time per iteration (s): 0.26 | learning rate: 1.166E-05 | global batch size:   256 | lm loss: 3.416329E+00 | grad norm: 0.590 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.106 | TFLOPs: 24.61 |
7:  iteration    18280/   37905 | consumed samples:      4679680 | consumed tokens:   9583984640 | elapsed time per iteration (s): 0.30 | learning rate: 1.165E-05 | global batch size:   256 | lm loss: 3.443331E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.714 | TFLOPs: 21.52 |
7:  iteration    18290/   37905 | consumed samples:      4682240 | consumed tokens:   9589227520 | elapsed time per iteration (s): 0.26 | learning rate: 1.164E-05 | global batch size:   256 | lm loss: 3.429663E+00 | grad norm: 0.584 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.665 | TFLOPs: 24.65 |
7:  iteration    18300/   37905 | consumed samples:      4684800 | consumed tokens:   9594470400 | elapsed time per iteration (s): 0.26 | learning rate: 1.163E-05 | global batch size:   256 | lm loss: 3.458435E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.562 | TFLOPs: 25.51 |
7:  iteration    18310/   37905 | consumed samples:      4687360 | consumed tokens:   9599713280 | elapsed time per iteration (s): 0.29 | learning rate: 1.163E-05 | global batch size:   256 | lm loss: 3.470636E+00 | grad norm: 0.572 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 895.700 | TFLOPs: 22.82 |
7:  iteration    18320/   37905 | consumed samples:      4689920 | consumed tokens:   9604956160 | elapsed time per iteration (s): 0.26 | learning rate: 1.162E-05 | global batch size:   256 | lm loss: 3.402036E+00 | grad norm: 0.606 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.040 | TFLOPs: 25.27 |
7:  iteration    18330/   37905 | consumed samples:      4692480 | consumed tokens:   9610199040 | elapsed time per iteration (s): 0.29 | learning rate: 1.161E-05 | global batch size:   256 | lm loss: 3.435314E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.166 | TFLOPs: 22.55 |
7:  iteration    18340/   37905 | consumed samples:      4695040 | consumed tokens:   9615441920 | elapsed time per iteration (s): 0.25 | learning rate: 1.160E-05 | global batch size:   256 | lm loss: 3.426171E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.217 | TFLOPs: 26.02 |
7:  iteration    18350/   37905 | consumed samples:      4697600 | consumed tokens:   9620684800 | elapsed time per iteration (s): 0.27 | learning rate: 1.160E-05 | global batch size:   256 | lm loss: 3.446276E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.097 | TFLOPs: 23.95 |
7:  iteration    18360/   37905 | consumed samples:      4700160 | consumed tokens:   9625927680 | elapsed time per iteration (s): 0.25 | learning rate: 1.159E-05 | global batch size:   256 | lm loss: 3.403597E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.656 | TFLOPs: 25.70 |
7:  iteration    18370/   37905 | consumed samples:      4702720 | consumed tokens:   9631170560 | elapsed time per iteration (s): 0.28 | learning rate: 1.158E-05 | global batch size:   256 | lm loss: 3.471633E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.721 | TFLOPs: 23.07 |
7:  iteration    18380/   37905 | consumed samples:      4705280 | consumed tokens:   9636413440 | elapsed time per iteration (s): 0.27 | learning rate: 1.157E-05 | global batch size:   256 | lm loss: 3.436565E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.441 | TFLOPs: 23.86 |
7:  iteration    18390/   37905 | consumed samples:      4707840 | consumed tokens:   9641656320 | elapsed time per iteration (s): 0.26 | learning rate: 1.157E-05 | global batch size:   256 | lm loss: 3.452972E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.899 | TFLOPs: 25.22 |
7:  iteration    18400/   37905 | consumed samples:      4710400 | consumed tokens:   9646899200 | elapsed time per iteration (s): 0.25 | learning rate: 1.156E-05 | global batch size:   256 | lm loss: 3.429092E+00 | grad norm: 0.671 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.217 | TFLOPs: 26.12 |
7:  iteration    18410/   37905 | consumed samples:      4712960 | consumed tokens:   9652142080 | elapsed time per iteration (s): 0.27 | learning rate: 1.155E-05 | global batch size:   256 | lm loss: 3.395796E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.676 | TFLOPs: 23.81 |
7:  iteration    18420/   37905 | consumed samples:      4715520 | consumed tokens:   9657384960 | elapsed time per iteration (s): 0.24 | learning rate: 1.154E-05 | global batch size:   256 | lm loss: 3.431392E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.277 | TFLOPs: 26.78 |
7:  iteration    18430/   37905 | consumed samples:      4718080 | consumed tokens:   9662627840 | elapsed time per iteration (s): 0.25 | learning rate: 1.154E-05 | global batch size:   256 | lm loss: 3.444133E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.292 | TFLOPs: 26.55 |
7:  iteration    18440/   37905 | consumed samples:      4720640 | consumed tokens:   9667870720 | elapsed time per iteration (s): 0.27 | learning rate: 1.153E-05 | global batch size:   256 | lm loss: 3.464197E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.331 | TFLOPs: 23.75 |
7:  iteration    18450/   37905 | consumed samples:      4723200 | consumed tokens:   9673113600 | elapsed time per iteration (s): 0.25 | learning rate: 1.152E-05 | global batch size:   256 | lm loss: 3.410466E+00 | grad norm: 0.586 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.540 | TFLOPs: 26.07 |
7:  iteration    18460/   37905 | consumed samples:      4725760 | consumed tokens:   9678356480 | elapsed time per iteration (s): 0.26 | learning rate: 1.151E-05 | global batch size:   256 | lm loss: 3.407632E+00 | grad norm: 0.654 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.077 | TFLOPs: 24.81 |
7:  iteration    18470/   37905 | consumed samples:      4728320 | consumed tokens:   9683599360 | elapsed time per iteration (s): 0.27 | learning rate: 1.151E-05 | global batch size:   256 | lm loss: 3.417956E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.403 | TFLOPs: 24.57 |
7:  iteration    18480/   37905 | consumed samples:      4730880 | consumed tokens:   9688842240 | elapsed time per iteration (s): 0.26 | learning rate: 1.150E-05 | global batch size:   256 | lm loss: 3.414027E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.045 | TFLOPs: 25.55 |
7:  iteration    18490/   37905 | consumed samples:      4733440 | consumed tokens:   9694085120 | elapsed time per iteration (s): 0.27 | learning rate: 1.149E-05 | global batch size:   256 | lm loss: 3.422215E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.339 | TFLOPs: 24.49 |
7:  iteration    18500/   37905 | consumed samples:      4736000 | consumed tokens:   9699328000 | elapsed time per iteration (s): 0.31 | learning rate: 1.148E-05 | global batch size:   256 | lm loss: 3.434206E+00 | grad norm: 0.723 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 824.280 | TFLOPs: 21.00 |
7:  iteration    18510/   37905 | consumed samples:      4738560 | consumed tokens:   9704570880 | elapsed time per iteration (s): 0.26 | learning rate: 1.148E-05 | global batch size:   256 | lm loss: 3.427010E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.008 | TFLOPs: 25.40 |
7:  iteration    18520/   37905 | consumed samples:      4741120 | consumed tokens:   9709813760 | elapsed time per iteration (s): 0.27 | learning rate: 1.147E-05 | global batch size:   256 | lm loss: 3.383743E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.277 | TFLOPs: 24.41 |
7:  iteration    18530/   37905 | consumed samples:      4743680 | consumed tokens:   9715056640 | elapsed time per iteration (s): 0.26 | learning rate: 1.146E-05 | global batch size:   256 | lm loss: 3.435888E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.401 | TFLOPs: 25.33 |
7:  iteration    18540/   37905 | consumed samples:      4746240 | consumed tokens:   9720299520 | elapsed time per iteration (s): 0.28 | learning rate: 1.145E-05 | global batch size:   256 | lm loss: 3.437684E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.911 | TFLOPs: 23.10 |
7:  iteration    18550/   37905 | consumed samples:      4748800 | consumed tokens:   9725542400 | elapsed time per iteration (s): 0.23 | learning rate: 1.145E-05 | global batch size:   256 | lm loss: 3.436811E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.904 | TFLOPs: 28.58 |
7:  iteration    18560/   37905 | consumed samples:      4751360 | consumed tokens:   9730785280 | elapsed time per iteration (s): 0.28 | learning rate: 1.144E-05 | global batch size:   256 | lm loss: 3.441815E+00 | grad norm: 0.703 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.698 | TFLOPs: 23.66 |
7:  iteration    18570/   37905 | consumed samples:      4753920 | consumed tokens:   9736028160 | elapsed time per iteration (s): 0.24 | learning rate: 1.143E-05 | global batch size:   256 | lm loss: 3.398685E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.874 | TFLOPs: 26.92 |
7:  iteration    18580/   37905 | consumed samples:      4756480 | consumed tokens:   9741271040 | elapsed time per iteration (s): 0.29 | learning rate: 1.142E-05 | global batch size:   256 | lm loss: 3.449873E+00 | grad norm: 0.623 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 895.521 | TFLOPs: 22.81 |
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7:  iteration    18600/   37905 | consumed samples:      4761600 | consumed tokens:   9751756800 | elapsed time per iteration (s): 0.31 | learning rate: 1.141E-05 | global batch size:   256 | lm loss: 3.420500E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 829.331 | TFLOPs: 21.13 |
7:  iteration    18610/   37905 | consumed samples:      4764160 | consumed tokens:   9756999680 | elapsed time per iteration (s): 0.27 | learning rate: 1.140E-05 | global batch size:   256 | lm loss: 3.441595E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.833 | TFLOPs: 23.92 |
7:  iteration    18620/   37905 | consumed samples:      4766720 | consumed tokens:   9762242560 | elapsed time per iteration (s): 0.29 | learning rate: 1.139E-05 | global batch size:   256 | lm loss: 3.432831E+00 | grad norm: 0.684 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 898.091 | TFLOPs: 22.88 |
7:  iteration    18630/   37905 | consumed samples:      4769280 | consumed tokens:   9767485440 | elapsed time per iteration (s): 0.27 | learning rate: 1.139E-05 | global batch size:   256 | lm loss: 3.435736E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.762 | TFLOPs: 23.84 |
7:  iteration    18640/   37905 | consumed samples:      4771840 | consumed tokens:   9772728320 | elapsed time per iteration (s): 0.28 | learning rate: 1.138E-05 | global batch size:   256 | lm loss: 3.426536E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.283 | TFLOPs: 23.60 |
7:  iteration    18650/   37905 | consumed samples:      4774400 | consumed tokens:   9777971200 | elapsed time per iteration (s): 0.25 | learning rate: 1.137E-05 | global batch size:   256 | lm loss: 3.423508E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.310 | TFLOPs: 25.97 |
7:  iteration    18660/   37905 | consumed samples:      4776960 | consumed tokens:   9783214080 | elapsed time per iteration (s): 0.27 | learning rate: 1.136E-05 | global batch size:   256 | lm loss: 3.449284E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.273 | TFLOPs: 24.31 |
7:  iteration    18670/   37905 | consumed samples:      4779520 | consumed tokens:   9788456960 | elapsed time per iteration (s): 0.28 | learning rate: 1.136E-05 | global batch size:   256 | lm loss: 3.405598E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.151 | TFLOPs: 23.34 |
7:  iteration    18680/   37905 | consumed samples:      4782080 | consumed tokens:   9793699840 | elapsed time per iteration (s): 0.28 | learning rate: 1.135E-05 | global batch size:   256 | lm loss: 3.493810E+00 | grad norm: 0.742 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.904 | TFLOPs: 23.10 |
7:  iteration    18690/   37905 | consumed samples:      4784640 | consumed tokens:   9798942720 | elapsed time per iteration (s): 0.25 | learning rate: 1.134E-05 | global batch size:   256 | lm loss: 3.420401E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.331 | TFLOPs: 26.50 |
7:  iteration    18700/   37905 | consumed samples:      4787200 | consumed tokens:   9804185600 | elapsed time per iteration (s): 0.28 | learning rate: 1.133E-05 | global batch size:   256 | lm loss: 3.437391E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.424 | TFLOPs: 23.37 |
7:  iteration    18710/   37905 | consumed samples:      4789760 | consumed tokens:   9809428480 | elapsed time per iteration (s): 0.24 | learning rate: 1.133E-05 | global batch size:   256 | lm loss: 3.444504E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.845 | TFLOPs: 27.74 |
7:  iteration    18720/   37905 | consumed samples:      4792320 | consumed tokens:   9814671360 | elapsed time per iteration (s): 0.26 | learning rate: 1.132E-05 | global batch size:   256 | lm loss: 3.434959E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.358 | TFLOPs: 25.46 |
7:  iteration    18730/   37905 | consumed samples:      4794880 | consumed tokens:   9819914240 | elapsed time per iteration (s): 0.27 | learning rate: 1.131E-05 | global batch size:   256 | lm loss: 3.421467E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.817 | TFLOPs: 24.27 |
7:  iteration    18740/   37905 | consumed samples:      4797440 | consumed tokens:   9825157120 | elapsed time per iteration (s): 0.26 | learning rate: 1.130E-05 | global batch size:   256 | lm loss: 3.435913E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.805 | TFLOPs: 25.04 |
7:  iteration    18750/   37905 | consumed samples:      4800000 | consumed tokens:   9830400000 | elapsed time per iteration (s): 0.25 | learning rate: 1.130E-05 | global batch size:   256 | lm loss: 3.424005E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.882 | TFLOPs: 26.57 |
7:  iteration    18760/   37905 | consumed samples:      4802560 | consumed tokens:   9835642880 | elapsed time per iteration (s): 0.28 | learning rate: 1.129E-05 | global batch size:   256 | lm loss: 3.459493E+00 | grad norm: 0.602 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.972 | TFLOPs: 23.11 |
7:  iteration    18770/   37905 | consumed samples:      4805120 | consumed tokens:   9840885760 | elapsed time per iteration (s): 0.29 | learning rate: 1.128E-05 | global batch size:   256 | lm loss: 3.379896E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.268 | TFLOPs: 22.65 |
7:  iteration    18780/   37905 | consumed samples:      4807680 | consumed tokens:   9846128640 | elapsed time per iteration (s): 0.26 | learning rate: 1.127E-05 | global batch size:   256 | lm loss: 3.454281E+00 | grad norm: 0.627 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.717 | TFLOPs: 25.34 |
7:  iteration    18790/   37905 | consumed samples:      4810240 | consumed tokens:   9851371520 | elapsed time per iteration (s): 0.25 | learning rate: 1.127E-05 | global batch size:   256 | lm loss: 3.427964E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.267 | TFLOPs: 26.20 |
7:  iteration    18800/   37905 | consumed samples:      4812800 | consumed tokens:   9856614400 | elapsed time per iteration (s): 0.26 | learning rate: 1.126E-05 | global batch size:   256 | lm loss: 3.432601E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.729 | TFLOPs: 24.65 |
7:  iteration    18810/   37905 | consumed samples:      4815360 | consumed tokens:   9861857280 | elapsed time per iteration (s): 0.29 | learning rate: 1.125E-05 | global batch size:   256 | lm loss: 3.381849E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.486 | TFLOPs: 22.74 |
7:  iteration    18820/   37905 | consumed samples:      4817920 | consumed tokens:   9867100160 | elapsed time per iteration (s): 0.30 | learning rate: 1.124E-05 | global batch size:   256 | lm loss: 3.445553E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 845.348 | TFLOPs: 21.54 |
7:  iteration    18830/   37905 | consumed samples:      4820480 | consumed tokens:   9872343040 | elapsed time per iteration (s): 0.26 | learning rate: 1.124E-05 | global batch size:   256 | lm loss: 3.434778E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.754 | TFLOPs: 25.21 |
7:  iteration    18840/   37905 | consumed samples:      4823040 | consumed tokens:   9877585920 | elapsed time per iteration (s): 0.27 | learning rate: 1.123E-05 | global batch size:   256 | lm loss: 3.384620E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.448 | TFLOPs: 24.42 |
7:  iteration    18850/   37905 | consumed samples:      4825600 | consumed tokens:   9882828800 | elapsed time per iteration (s): 0.25 | learning rate: 1.122E-05 | global batch size:   256 | lm loss: 3.433230E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.487 | TFLOPs: 26.35 |
7:  iteration    18860/   37905 | consumed samples:      4828160 | consumed tokens:   9888071680 | elapsed time per iteration (s): 0.26 | learning rate: 1.121E-05 | global batch size:   256 | lm loss: 3.423996E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.436 | TFLOPs: 24.85 |
7:  iteration    18870/   37905 | consumed samples:      4830720 | consumed tokens:   9893314560 | elapsed time per iteration (s): 0.25 | learning rate: 1.120E-05 | global batch size:   256 | lm loss: 3.430572E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.046 | TFLOPs: 26.42 |
7:  iteration    18880/   37905 | consumed samples:      4833280 | consumed tokens:   9898557440 | elapsed time per iteration (s): 0.26 | learning rate: 1.120E-05 | global batch size:   256 | lm loss: 3.423922E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.521 | TFLOPs: 25.00 |
7:  iteration    18890/   37905 | consumed samples:      4835840 | consumed tokens:   9903800320 | elapsed time per iteration (s): 0.26 | learning rate: 1.119E-05 | global batch size:   256 | lm loss: 3.449909E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.228 | TFLOPs: 25.20 |
7:  iteration    18900/   37905 | consumed samples:      4838400 | consumed tokens:   9909043200 | elapsed time per iteration (s): 0.28 | learning rate: 1.118E-05 | global batch size:   256 | lm loss: 3.407747E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.036 | TFLOPs: 23.08 |
7:  iteration    18910/   37905 | consumed samples:      4840960 | consumed tokens:   9914286080 | elapsed time per iteration (s): 0.23 | learning rate: 1.117E-05 | global batch size:   256 | lm loss: 3.422099E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.056 | TFLOPs: 28.23 |
7:  iteration    18920/   37905 | consumed samples:      4843520 | consumed tokens:   9919528960 | elapsed time per iteration (s): 0.27 | learning rate: 1.117E-05 | global batch size:   256 | lm loss: 3.399418E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.708 | TFLOPs: 24.50 |
7:  iteration    18930/   37905 | consumed samples:      4846080 | consumed tokens:   9924771840 | elapsed time per iteration (s): 0.28 | learning rate: 1.116E-05 | global batch size:   256 | lm loss: 3.411749E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 901.304 | TFLOPs: 22.96 |
7:  iteration    18940/   37905 | consumed samples:      4848640 | consumed tokens:   9930014720 | elapsed time per iteration (s): 0.29 | learning rate: 1.115E-05 | global batch size:   256 | lm loss: 3.466885E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 883.273 | TFLOPs: 22.50 |
7:  iteration    18950/   37905 | consumed samples:      4851200 | consumed tokens:   9935257600 | elapsed time per iteration (s): 0.27 | learning rate: 1.114E-05 | global batch size:   256 | lm loss: 3.415825E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.145 | TFLOPs: 24.08 |
7:  iteration    18960/   37905 | consumed samples:      4853760 | consumed tokens:   9940500480 | elapsed time per iteration (s): 0.25 | learning rate: 1.114E-05 | global batch size:   256 | lm loss: 3.384416E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.665 | TFLOPs: 26.43 |
7:  iteration    18970/   37905 | consumed samples:      4856320 | consumed tokens:   9945743360 | elapsed time per iteration (s): 0.27 | learning rate: 1.113E-05 | global batch size:   256 | lm loss: 3.447895E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.094 | TFLOPs: 23.72 |
7:  iteration    18980/   37905 | consumed samples:      4858880 | consumed tokens:   9950986240 | elapsed time per iteration (s): 0.28 | learning rate: 1.112E-05 | global batch size:   256 | lm loss: 3.454762E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.210 | TFLOPs: 23.09 |
7:  iteration    18990/   37905 | consumed samples:      4861440 | consumed tokens:   9956229120 | elapsed time per iteration (s): 0.25 | learning rate: 1.111E-05 | global batch size:   256 | lm loss: 3.437227E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.243 | TFLOPs: 26.27 |
7:  iteration    19000/   37905 | consumed samples:      4864000 | consumed tokens:   9961472000 | elapsed time per iteration (s): 0.27 | learning rate: 1.111E-05 | global batch size:   256 | lm loss: 3.457210E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.166 | TFLOPs: 24.43 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 19000 | lm loss value: 3.285705E+00 | lm loss PPL: 2.672782E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   19000 to checkpoints_83slr
0: [2022-11-28 16:36:08,226] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step19000 is begin to save!
0: [2022-11-28 16:36:08,229] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:36:08,300] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:36:08,300] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_03-model_00-model_states.pt...
0: [2022-11-28 16:36:08,312] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_03-model_00-model_states.pt.
0: [2022-11-28 16:36:08,312] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_04-model_00-model_states.pt...
0: [2022-11-28 16:36:08,323] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_04-model_00-model_states.pt.
0: [2022-11-28 16:36:08,323] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_05-model_00-model_states.pt...
0: [2022-11-28 16:36:08,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_05-model_00-model_states.pt.
0: [2022-11-28 16:36:08,335] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_06-model_00-model_states.pt...
0: [2022-11-28 16:36:08,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_06-model_00-model_states.pt.
0: [2022-11-28 16:36:08,347] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_07-model_00-model_states.pt...
0: [2022-11-28 16:36:08,357] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_07-model_00-model_states.pt.
0: [2022-11-28 16:36:08,358] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_08-model_00-model_states.pt...
0: [2022-11-28 16:36:08,368] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_08-model_00-model_states.pt.
0: [2022-11-28 16:36:08,369] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_09-model_00-model_states.pt...
0: [2022-11-28 16:36:08,379] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_09-model_00-model_states.pt.
0: [2022-11-28 16:36:08,380] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_10-model_00-model_states.pt...
0: [2022-11-28 16:36:08,390] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_10-model_00-model_states.pt.
0: [2022-11-28 16:36:08,391] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_11-model_00-model_states.pt...
0: [2022-11-28 16:36:08,402] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_11-model_00-model_states.pt.
0: [2022-11-28 16:36:08,402] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_12-model_00-model_states.pt...
0: [2022-11-28 16:36:08,413] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_12-model_00-model_states.pt.
0: [2022-11-28 16:36:08,413] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/layer_14-model_00-model_states.pt...
0: [2022-11-28 16:36:08,414] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/layer_14-model_00-model_states.pt.
0: [2022-11-28 16:36:08,414] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step19000/mp_rank_00_model_states.pt
0: [2022-11-28 16:36:08,414] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/mp_rank_00_model_states.pt...
0: [2022-11-28 16:36:08,416] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/mp_rank_00_model_states.pt.
0: [2022-11-28 16:36:08,433] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step19000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
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2: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
2: [2022-11-28 16:36:08,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
2: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
3: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:36:08,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
3: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
4: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:36:08,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
4: [2022-11-28 16:36:08,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
4: [2022-11-28 16:36:08,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
4: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
4: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
7: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:36:08,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
3: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:36:08,460] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
3: [2022-11-28 16:36:08,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt
3: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
5: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:36:08,461] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
3: [2022-11-28 16:36:08,461] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
3: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
5: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
6: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:36:08,461] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt
6: [2022-11-28 16:36:08,461] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step19000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt
6: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
6: [2022-11-28 16:36:08,461] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now!
0:   successfully saved checkpoint at iteration   19000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 238.13
7:  iteration    19010/   37905 | consumed samples:      4866560 | consumed tokens:   9966714880 | elapsed time per iteration (s): 0.28 | learning rate: 1.110E-05 | global batch size:   256 | lm loss: 3.454117E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.283 | TFLOPs: 23.70 |
7:  iteration    19020/   37905 | consumed samples:      4869120 | consumed tokens:   9971957760 | elapsed time per iteration (s): 0.31 | learning rate: 1.109E-05 | global batch size:   256 | lm loss: 3.443233E+00 | grad norm: 0.796 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 822.197 | TFLOPs: 20.95 |
7:  iteration    19030/   37905 | consumed samples:      4871680 | consumed tokens:   9977200640 | elapsed time per iteration (s): 0.27 | learning rate: 1.108E-05 | global batch size:   256 | lm loss: 3.413290E+00 | grad norm: 0.666 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.680 | TFLOPs: 24.50 |
7:  iteration    19040/   37905 | consumed samples:      4874240 | consumed tokens:   9982443520 | elapsed time per iteration (s): 0.27 | learning rate: 1.108E-05 | global batch size:   256 | lm loss: 3.445801E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.296 | TFLOPs: 23.78 |
7:  iteration    19050/   37905 | consumed samples:      4876800 | consumed tokens:   9987686400 | elapsed time per iteration (s): 0.23 | learning rate: 1.107E-05 | global batch size:   256 | lm loss: 3.400755E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.186 | TFLOPs: 27.85 |
7:  iteration    19060/   37905 | consumed samples:      4879360 | consumed tokens:   9992929280 | elapsed time per iteration (s): 0.25 | learning rate: 1.106E-05 | global batch size:   256 | lm loss: 3.409595E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.589 | TFLOPs: 25.64 |
7:  iteration    19070/   37905 | consumed samples:      4881920 | consumed tokens:   9998172160 | elapsed time per iteration (s): 0.28 | learning rate: 1.105E-05 | global batch size:   256 | lm loss: 3.399525E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 902.402 | TFLOPs: 22.99 |
7:  iteration    19080/   37905 | consumed samples:      4884480 | consumed tokens:  10003415040 | elapsed time per iteration (s): 0.29 | learning rate: 1.105E-05 | global batch size:   256 | lm loss: 3.435722E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 870.285 | TFLOPs: 22.17 |
7:  iteration    19090/   37905 | consumed samples:      4887040 | consumed tokens:  10008657920 | elapsed time per iteration (s): 0.27 | learning rate: 1.104E-05 | global batch size:   256 | lm loss: 3.448590E+00 | grad norm: 0.660 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.647 | TFLOPs: 23.84 |
7:  iteration    19100/   37905 | consumed samples:      4889600 | consumed tokens:  10013900800 | elapsed time per iteration (s): 0.24 | learning rate: 1.103E-05 | global batch size:   256 | lm loss: 3.458766E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.097 | TFLOPs: 26.70 |
7:  iteration    19110/   37905 | consumed samples:      4892160 | consumed tokens:  10019143680 | elapsed time per iteration (s): 0.25 | learning rate: 1.102E-05 | global batch size:   256 | lm loss: 3.453015E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.246 | TFLOPs: 26.02 |
7:  iteration    19120/   37905 | consumed samples:      4894720 | consumed tokens:  10024386560 | elapsed time per iteration (s): 0.28 | learning rate: 1.102E-05 | global batch size:   256 | lm loss: 3.420971E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.506 | TFLOPs: 23.60 |
7:  iteration    19130/   37905 | consumed samples:      4897280 | consumed tokens:  10029629440 | elapsed time per iteration (s): 0.27 | learning rate: 1.101E-05 | global batch size:   256 | lm loss: 3.413459E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.583 | TFLOPs: 24.32 |
7:  iteration    19140/   37905 | consumed samples:      4899840 | consumed tokens:  10034872320 | elapsed time per iteration (s): 0.25 | learning rate: 1.100E-05 | global batch size:   256 | lm loss: 3.417617E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.510 | TFLOPs: 26.61 |
7:  iteration    19150/   37905 | consumed samples:      4902400 | consumed tokens:  10040115200 | elapsed time per iteration (s): 0.28 | learning rate: 1.099E-05 | global batch size:   256 | lm loss: 3.406766E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.650 | TFLOPs: 23.10 |
7:  iteration    19160/   37905 | consumed samples:      4904960 | consumed tokens:  10045358080 | elapsed time per iteration (s): 0.27 | learning rate: 1.099E-05 | global batch size:   256 | lm loss: 3.435514E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.640 | TFLOPs: 24.35 |
7:  iteration    19170/   37905 | consumed samples:      4907520 | consumed tokens:  10050600960 | elapsed time per iteration (s): 0.27 | learning rate: 1.098E-05 | global batch size:   256 | lm loss: 3.407842E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.255 | TFLOPs: 24.41 |
7:  iteration    19180/   37905 | consumed samples:      4910080 | consumed tokens:  10055843840 | elapsed time per iteration (s): 0.27 | learning rate: 1.097E-05 | global batch size:   256 | lm loss: 3.430277E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.202 | TFLOPs: 23.85 |
7:  iteration    19190/   37905 | consumed samples:      4912640 | consumed tokens:  10061086720 | elapsed time per iteration (s): 0.30 | learning rate: 1.096E-05 | global batch size:   256 | lm loss: 3.429273E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.477 | TFLOPs: 21.49 |
7:  iteration    19200/   37905 | consumed samples:      4915200 | consumed tokens:  10066329600 | elapsed time per iteration (s): 0.23 | learning rate: 1.096E-05 | global batch size:   256 | lm loss: 3.423510E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.408 | TFLOPs: 28.29 |
7:  iteration    19210/   37905 | consumed samples:      4917760 | consumed tokens:  10071572480 | elapsed time per iteration (s): 0.26 | learning rate: 1.095E-05 | global batch size:   256 | lm loss: 3.419801E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.709 | TFLOPs: 25.01 |
7:  iteration    19220/   37905 | consumed samples:      4920320 | consumed tokens:  10076815360 | elapsed time per iteration (s): 0.26 | learning rate: 1.094E-05 | global batch size:   256 | lm loss: 3.425731E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.441 | TFLOPs: 24.90 |
7:  iteration    19230/   37905 | consumed samples:      4922880 | consumed tokens:  10082058240 | elapsed time per iteration (s): 0.30 | learning rate: 1.093E-05 | global batch size:   256 | lm loss: 3.419854E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 857.128 | TFLOPs: 21.84 |
7:  iteration    19240/   37905 | consumed samples:      4925440 | consumed tokens:  10087301120 | elapsed time per iteration (s): 0.29 | learning rate: 1.093E-05 | global batch size:   256 | lm loss: 3.422276E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 875.376 | TFLOPs: 22.30 |
7:  iteration    19250/   37905 | consumed samples:      4928000 | consumed tokens:  10092544000 | elapsed time per iteration (s): 0.23 | learning rate: 1.092E-05 | global batch size:   256 | lm loss: 3.456128E+00 | grad norm: 0.685 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.471 | TFLOPs: 27.93 |
7:  iteration    19260/   37905 | consumed samples:      4930560 | consumed tokens:  10097786880 | elapsed time per iteration (s): 0.29 | learning rate: 1.091E-05 | global batch size:   256 | lm loss: 3.410234E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 894.823 | TFLOPs: 22.80 |
7:  iteration    19270/   37905 | consumed samples:      4933120 | consumed tokens:  10103029760 | elapsed time per iteration (s): 0.23 | learning rate: 1.090E-05 | global batch size:   256 | lm loss: 3.389574E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.071 | TFLOPs: 28.51 |
7:  iteration    19280/   37905 | consumed samples:      4935680 | consumed tokens:  10108272640 | elapsed time per iteration (s): 0.31 | learning rate: 1.090E-05 | global batch size:   256 | lm loss: 3.420642E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 838.787 | TFLOPs: 21.37 |
7:  iteration    19290/   37905 | consumed samples:      4938240 | consumed tokens:  10113515520 | elapsed time per iteration (s): 0.24 | learning rate: 1.089E-05 | global batch size:   256 | lm loss: 3.434872E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.042 | TFLOPs: 26.98 |
7:  iteration    19300/   37905 | consumed samples:      4940800 | consumed tokens:  10118758400 | elapsed time per iteration (s): 0.25 | learning rate: 1.088E-05 | global batch size:   256 | lm loss: 3.422918E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.146 | TFLOPs: 26.52 |
7:  iteration    19310/   37905 | consumed samples:      4943360 | consumed tokens:  10124001280 | elapsed time per iteration (s): 0.28 | learning rate: 1.087E-05 | global batch size:   256 | lm loss: 3.418392E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.538 | TFLOPs: 23.22 |
7:  iteration    19320/   37905 | consumed samples:      4945920 | consumed tokens:  10129244160 | elapsed time per iteration (s): 0.30 | learning rate: 1.087E-05 | global batch size:   256 | lm loss: 3.395062E+00 | grad norm: 0.619 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 862.931 | TFLOPs: 21.98 |
7:  iteration    19330/   37905 | consumed samples:      4948480 | consumed tokens:  10134487040 | elapsed time per iteration (s): 0.24 | learning rate: 1.086E-05 | global batch size:   256 | lm loss: 3.388810E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.543 | TFLOPs: 26.64 |
7:  iteration    19340/   37905 | consumed samples:      4951040 | consumed tokens:  10139729920 | elapsed time per iteration (s): 0.25 | learning rate: 1.085E-05 | global batch size:   256 | lm loss: 3.425912E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.489 | TFLOPs: 26.53 |
7:  iteration    19350/   37905 | consumed samples:      4953600 | consumed tokens:  10144972800 | elapsed time per iteration (s): 0.27 | learning rate: 1.084E-05 | global batch size:   256 | lm loss: 3.410410E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.025 | TFLOPs: 24.53 |
7:  iteration    19360/   37905 | consumed samples:      4956160 | consumed tokens:  10150215680 | elapsed time per iteration (s): 0.24 | learning rate: 1.084E-05 | global batch size:   256 | lm loss: 3.410848E+00 | grad norm: 0.638 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.453 | TFLOPs: 26.86 |
7:  iteration    19370/   37905 | consumed samples:      4958720 | consumed tokens:  10155458560 | elapsed time per iteration (s): 0.27 | learning rate: 1.083E-05 | global batch size:   256 | lm loss: 3.407959E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.877 | TFLOPs: 24.45 |
7:  iteration    19380/   37905 | consumed samples:      4961280 | consumed tokens:  10160701440 | elapsed time per iteration (s): 0.26 | learning rate: 1.082E-05 | global batch size:   256 | lm loss: 3.385250E+00 | grad norm: 0.907 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.142 | TFLOPs: 24.92 |
7:  iteration    19390/   37905 | consumed samples:      4963840 | consumed tokens:  10165944320 | elapsed time per iteration (s): 0.24 | learning rate: 1.081E-05 | global batch size:   256 | lm loss: 3.421144E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.873 | TFLOPs: 27.31 |
7:  iteration    19400/   37905 | consumed samples:      4966400 | consumed tokens:  10171187200 | elapsed time per iteration (s): 0.26 | learning rate: 1.081E-05 | global batch size:   256 | lm loss: 3.422707E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.887 | TFLOPs: 24.94 |
7:  iteration    19410/   37905 | consumed samples:      4968960 | consumed tokens:  10176430080 | elapsed time per iteration (s): 0.28 | learning rate: 1.080E-05 | global batch size:   256 | lm loss: 3.431963E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.985 | TFLOPs: 23.56 |
7:  iteration    19420/   37905 | consumed samples:      4971520 | consumed tokens:  10181672960 | elapsed time per iteration (s): 0.28 | learning rate: 1.079E-05 | global batch size:   256 | lm loss: 3.434225E+00 | grad norm: 0.691 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.077 | TFLOPs: 23.36 |
7:  iteration    19430/   37905 | consumed samples:      4974080 | consumed tokens:  10186915840 | elapsed time per iteration (s): 0.23 | learning rate: 1.078E-05 | global batch size:   256 | lm loss: 3.453371E+00 | grad norm: 0.666 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.173 | TFLOPs: 27.90 |
7:  iteration    19440/   37905 | consumed samples:      4976640 | consumed tokens:  10192158720 | elapsed time per iteration (s): 0.28 | learning rate: 1.078E-05 | global batch size:   256 | lm loss: 3.425466E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.255 | TFLOPs: 23.11 |
7:  iteration    19450/   37905 | consumed samples:      4979200 | consumed tokens:  10197401600 | elapsed time per iteration (s): 0.27 | learning rate: 1.077E-05 | global batch size:   256 | lm loss: 3.439758E+00 | grad norm: 0.582 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.225 | TFLOPs: 23.80 |
7:  iteration    19460/   37905 | consumed samples:      4981760 | consumed tokens:  10202644480 | elapsed time per iteration (s): 0.27 | learning rate: 1.076E-05 | global batch size:   256 | lm loss: 3.411413E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 948.348 | TFLOPs: 24.16 |
7:  iteration    19470/   37905 | consumed samples:      4984320 | consumed tokens:  10207887360 | elapsed time per iteration (s): 0.26 | learning rate: 1.075E-05 | global batch size:   256 | lm loss: 3.398323E+00 | grad norm: 0.701 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.367 | TFLOPs: 25.15 |
7:  iteration    19480/   37905 | consumed samples:      4986880 | consumed tokens:  10213130240 | elapsed time per iteration (s): 0.25 | learning rate: 1.075E-05 | global batch size:   256 | lm loss: 3.399785E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.091 | TFLOPs: 25.78 |
7:  iteration    19490/   37905 | consumed samples:      4989440 | consumed tokens:  10218373120 | elapsed time per iteration (s): 0.26 | learning rate: 1.074E-05 | global batch size:   256 | lm loss: 3.425294E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.522 | TFLOPs: 25.39 |
7:  iteration    19500/   37905 | consumed samples:      4992000 | consumed tokens:  10223616000 | elapsed time per iteration (s): 0.26 | learning rate: 1.073E-05 | global batch size:   256 | lm loss: 3.402415E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.370 | TFLOPs: 25.00 |
7:  iteration    19510/   37905 | consumed samples:      4994560 | consumed tokens:  10228858880 | elapsed time per iteration (s): 0.26 | learning rate: 1.072E-05 | global batch size:   256 | lm loss: 3.437706E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.982 | TFLOPs: 25.40 |
7:  iteration    19520/   37905 | consumed samples:      4997120 | consumed tokens:  10234101760 | elapsed time per iteration (s): 0.23 | learning rate: 1.072E-05 | global batch size:   256 | lm loss: 3.435564E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.439 | TFLOPs: 28.49 |
7:  iteration    19530/   37905 | consumed samples:      4999680 | consumed tokens:  10239344640 | elapsed time per iteration (s): 0.29 | learning rate: 1.071E-05 | global batch size:   256 | lm loss: 3.393083E+00 | grad norm: 0.629 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.016 | TFLOPs: 22.32 |
7:  iteration    19540/   37905 | consumed samples:      5002240 | consumed tokens:  10244587520 | elapsed time per iteration (s): 0.23 | learning rate: 1.070E-05 | global batch size:   256 | lm loss: 3.430143E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.538 | TFLOPs: 27.93 |
7:  iteration    19550/   37905 | consumed samples:      5004800 | consumed tokens:  10249830400 | elapsed time per iteration (s): 0.31 | learning rate: 1.069E-05 | global batch size:   256 | lm loss: 3.455247E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 835.598 | TFLOPs: 21.29 |
7:  iteration    19560/   37905 | consumed samples:      5007360 | consumed tokens:  10255073280 | elapsed time per iteration (s): 0.23 | learning rate: 1.069E-05 | global batch size:   256 | lm loss: 3.404065E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.721 | TFLOPs: 27.79 |
7:  iteration    19570/   37905 | consumed samples:      5009920 | consumed tokens:  10260316160 | elapsed time per iteration (s): 0.26 | learning rate: 1.068E-05 | global batch size:   256 | lm loss: 3.393933E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.659 | TFLOPs: 24.65 |
7:  iteration    19580/   37905 | consumed samples:      5012480 | consumed tokens:  10265559040 | elapsed time per iteration (s): 0.23 | learning rate: 1.067E-05 | global batch size:   256 | lm loss: 3.426895E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.972 | TFLOPs: 28.25 |
7:  iteration    19590/   37905 | consumed samples:      5015040 | consumed tokens:  10270801920 | elapsed time per iteration (s): 0.25 | learning rate: 1.066E-05 | global batch size:   256 | lm loss: 3.385173E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.644 | TFLOPs: 25.75 |
7:  iteration    19600/   37905 | consumed samples:      5017600 | consumed tokens:  10276044800 | elapsed time per iteration (s): 0.30 | learning rate: 1.066E-05 | global batch size:   256 | lm loss: 3.387471E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 864.565 | TFLOPs: 22.02 |
7:  iteration    19610/   37905 | consumed samples:      5020160 | consumed tokens:  10281287680 | elapsed time per iteration (s): 0.25 | learning rate: 1.065E-05 | global batch size:   256 | lm loss: 3.423519E+00 | grad norm: 0.577 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.072 | TFLOPs: 26.19 |
7:  iteration    19620/   37905 | consumed samples:      5022720 | consumed tokens:  10286530560 | elapsed time per iteration (s): 0.28 | learning rate: 1.064E-05 | global batch size:   256 | lm loss: 3.439020E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.613 | TFLOPs: 23.68 |
7:  iteration    19630/   37905 | consumed samples:      5025280 | consumed tokens:  10291773440 | elapsed time per iteration (s): 0.27 | learning rate: 1.063E-05 | global batch size:   256 | lm loss: 3.443098E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.617 | TFLOPs: 24.40 |
7:  iteration    19640/   37905 | consumed samples:      5027840 | consumed tokens:  10297016320 | elapsed time per iteration (s): 0.25 | learning rate: 1.062E-05 | global batch size:   256 | lm loss: 3.449656E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.376 | TFLOPs: 26.12 |
7:  iteration    19650/   37905 | consumed samples:      5030400 | consumed tokens:  10302259200 | elapsed time per iteration (s): 0.26 | learning rate: 1.062E-05 | global batch size:   256 | lm loss: 3.384625E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.433 | TFLOPs: 25.31 |
7:  iteration    19660/   37905 | consumed samples:      5032960 | consumed tokens:  10307502080 | elapsed time per iteration (s): 0.27 | learning rate: 1.061E-05 | global batch size:   256 | lm loss: 3.420341E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.200 | TFLOPs: 24.41 |
7:  iteration    19670/   37905 | consumed samples:      5035520 | consumed tokens:  10312744960 | elapsed time per iteration (s): 0.27 | learning rate: 1.060E-05 | global batch size:   256 | lm loss: 3.396613E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 937.974 | TFLOPs: 23.90 |
7:  iteration    19680/   37905 | consumed samples:      5038080 | consumed tokens:  10317987840 | elapsed time per iteration (s): 0.29 | learning rate: 1.059E-05 | global batch size:   256 | lm loss: 3.387580E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.993 | TFLOPs: 22.57 |
7:  iteration    19690/   37905 | consumed samples:      5040640 | consumed tokens:  10323230720 | elapsed time per iteration (s): 0.27 | learning rate: 1.059E-05 | global batch size:   256 | lm loss: 3.408456E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.507 | TFLOPs: 23.78 |
7:  iteration    19700/   37905 | consumed samples:      5043200 | consumed tokens:  10328473600 | elapsed time per iteration (s): 0.23 | learning rate: 1.058E-05 | global batch size:   256 | lm loss: 3.404641E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.115 | TFLOPs: 28.56 |
7:  iteration    19710/   37905 | consumed samples:      5045760 | consumed tokens:  10333716480 | elapsed time per iteration (s): 0.27 | learning rate: 1.057E-05 | global batch size:   256 | lm loss: 3.394662E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.593 | TFLOPs: 24.45 |
7:  iteration    19720/   37905 | consumed samples:      5048320 | consumed tokens:  10338959360 | elapsed time per iteration (s): 0.26 | learning rate: 1.056E-05 | global batch size:   256 | lm loss: 3.380822E+00 | grad norm: 0.799 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.256 | TFLOPs: 25.10 |
7:  iteration    19730/   37905 | consumed samples:      5050880 | consumed tokens:  10344202240 | elapsed time per iteration (s): 0.27 | learning rate: 1.056E-05 | global batch size:   256 | lm loss: 3.409344E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.117 | TFLOPs: 24.23 |
7:  iteration    19740/   37905 | consumed samples:      5053440 | consumed tokens:  10349445120 | elapsed time per iteration (s): 0.27 | learning rate: 1.055E-05 | global batch size:   256 | lm loss: 3.441111E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.966 | TFLOPs: 24.15 |
7:  iteration    19750/   37905 | consumed samples:      5056000 | consumed tokens:  10354688000 | elapsed time per iteration (s): 0.27 | learning rate: 1.054E-05 | global batch size:   256 | lm loss: 3.413411E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.070 | TFLOPs: 24.33 |
7:  iteration    19760/   37905 | consumed samples:      5058560 | consumed tokens:  10359930880 | elapsed time per iteration (s): 0.25 | learning rate: 1.053E-05 | global batch size:   256 | lm loss: 3.403255E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.103 | TFLOPs: 26.11 |
7:  iteration    19770/   37905 | consumed samples:      5061120 | consumed tokens:  10365173760 | elapsed time per iteration (s): 0.24 | learning rate: 1.053E-05 | global batch size:   256 | lm loss: 3.418022E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.735 | TFLOPs: 27.05 |
7:  iteration    19780/   37905 | consumed samples:      5063680 | consumed tokens:  10370416640 | elapsed time per iteration (s): 0.26 | learning rate: 1.052E-05 | global batch size:   256 | lm loss: 3.423984E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.904 | TFLOPs: 24.91 |
7:  iteration    19790/   37905 | consumed samples:      5066240 | consumed tokens:  10375659520 | elapsed time per iteration (s): 0.25 | learning rate: 1.051E-05 | global batch size:   256 | lm loss: 3.420385E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.360 | TFLOPs: 26.15 |
7:  iteration    19800/   37905 | consumed samples:      5068800 | consumed tokens:  10380902400 | elapsed time per iteration (s): 0.27 | learning rate: 1.050E-05 | global batch size:   256 | lm loss: 3.383036E+00 | grad norm: 0.661 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.788 | TFLOPs: 24.09 |
7:  iteration    19810/   37905 | consumed samples:      5071360 | consumed tokens:  10386145280 | elapsed time per iteration (s): 0.25 | learning rate: 1.050E-05 | global batch size:   256 | lm loss: 3.420847E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.018 | TFLOPs: 26.14 |
7:  iteration    19820/   37905 | consumed samples:      5073920 | consumed tokens:  10391388160 | elapsed time per iteration (s): 0.27 | learning rate: 1.049E-05 | global batch size:   256 | lm loss: 3.413279E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.334 | TFLOPs: 24.36 |
7:  iteration    19830/   37905 | consumed samples:      5076480 | consumed tokens:  10396631040 | elapsed time per iteration (s): 0.26 | learning rate: 1.048E-05 | global batch size:   256 | lm loss: 3.381554E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.227 | TFLOPs: 24.82 |
7:  iteration    19840/   37905 | consumed samples:      5079040 | consumed tokens:  10401873920 | elapsed time per iteration (s): 0.28 | learning rate: 1.047E-05 | global batch size:   256 | lm loss: 3.385479E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.173 | TFLOPs: 23.31 |
7:  iteration    19850/   37905 | consumed samples:      5081600 | consumed tokens:  10407116800 | elapsed time per iteration (s): 0.26 | learning rate: 1.047E-05 | global batch size:   256 | lm loss: 3.438789E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.857 | TFLOPs: 25.42 |
7:  iteration    19860/   37905 | consumed samples:      5084160 | consumed tokens:  10412359680 | elapsed time per iteration (s): 0.28 | learning rate: 1.046E-05 | global batch size:   256 | lm loss: 3.430426E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.516 | TFLOPs: 23.63 |
7:  iteration    19870/   37905 | consumed samples:      5086720 | consumed tokens:  10417602560 | elapsed time per iteration (s): 0.28 | learning rate: 1.045E-05 | global batch size:   256 | lm loss: 3.448296E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.879 | TFLOPs: 23.54 |
7:  iteration    19880/   37905 | consumed samples:      5089280 | consumed tokens:  10422845440 | elapsed time per iteration (s): 0.28 | learning rate: 1.044E-05 | global batch size:   256 | lm loss: 3.414198E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.387 | TFLOPs: 23.06 |
7:  iteration    19890/   37905 | consumed samples:      5091840 | consumed tokens:  10428088320 | elapsed time per iteration (s): 0.26 | learning rate: 1.044E-05 | global batch size:   256 | lm loss: 3.421240E+00 | grad norm: 0.595 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.647 | TFLOPs: 25.01 |
7:  iteration    19900/   37905 | consumed samples:      5094400 | consumed tokens:  10433331200 | elapsed time per iteration (s): 0.26 | learning rate: 1.043E-05 | global batch size:   256 | lm loss: 3.404229E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.732 | TFLOPs: 24.63 |
7:  iteration    19910/   37905 | consumed samples:      5096960 | consumed tokens:  10438574080 | elapsed time per iteration (s): 0.28 | learning rate: 1.042E-05 | global batch size:   256 | lm loss: 3.436667E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.057 | TFLOPs: 23.08 |
7:  iteration    19920/   37905 | consumed samples:      5099520 | consumed tokens:  10443816960 | elapsed time per iteration (s): 0.27 | learning rate: 1.041E-05 | global batch size:   256 | lm loss: 3.449313E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.363 | TFLOPs: 23.85 |
7:  iteration    19930/   37905 | consumed samples:      5102080 | consumed tokens:  10449059840 | elapsed time per iteration (s): 0.26 | learning rate: 1.041E-05 | global batch size:   256 | lm loss: 3.379294E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.476 | TFLOPs: 25.39 |
7:  iteration    19940/   37905 | consumed samples:      5104640 | consumed tokens:  10454302720 | elapsed time per iteration (s): 0.27 | learning rate: 1.040E-05 | global batch size:   256 | lm loss: 3.446012E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 944.872 | TFLOPs: 24.07 |
7:  iteration    19950/   37905 | consumed samples:      5107200 | consumed tokens:  10459545600 | elapsed time per iteration (s): 0.24 | learning rate: 1.039E-05 | global batch size:   256 | lm loss: 3.384496E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.556 | TFLOPs: 26.64 |
7:  iteration    19960/   37905 | consumed samples:      5109760 | consumed tokens:  10464788480 | elapsed time per iteration (s): 0.25 | learning rate: 1.038E-05 | global batch size:   256 | lm loss: 3.386267E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.797 | TFLOPs: 25.85 |
7:  iteration    19970/   37905 | consumed samples:      5112320 | consumed tokens:  10470031360 | elapsed time per iteration (s): 0.26 | learning rate: 1.038E-05 | global batch size:   256 | lm loss: 3.433012E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.455 | TFLOPs: 25.26 |
7:  iteration    19980/   37905 | consumed samples:      5114880 | consumed tokens:  10475274240 | elapsed time per iteration (s): 0.27 | learning rate: 1.037E-05 | global batch size:   256 | lm loss: 3.426417E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.926 | TFLOPs: 23.79 |
7:  iteration    19990/   37905 | consumed samples:      5117440 | consumed tokens:  10480517120 | elapsed time per iteration (s): 0.25 | learning rate: 1.036E-05 | global batch size:   256 | lm loss: 3.421703E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.766 | TFLOPs: 26.54 |
0: [2022-11-28 16:40:32,279] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[1.0354137669750604e-05, 1.0354137669750604e-05, 1.0354137669750604e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    20000/   37905 | consumed samples:      5120000 | consumed tokens:  10485760000 | elapsed time per iteration (s): 0.26 | learning rate: 1.035E-05 | global batch size:   256 | lm loss: 3.450983E+00 | grad norm: 0.709 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.621 | TFLOPs: 25.11 |
0: steps: 20000 loss: 3.4041 iter time (s): 0.265 samples/sec: 967.369
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 20000 | lm loss value: 3.239541E+00 | lm loss PPL: 2.552201E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   20000 to checkpoints_83slr
0: [2022-11-28 16:40:32,368] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step20000 is begin to save!
0: [2022-11-28 16:40:32,371] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step20000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:40:32,442] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 16:40:32,478] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step20000/layer_06-model_00-model_states.pt...
0: [2022-11-28 16:40:32,489] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/layer_06-model_00-model_states.pt.
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0: [2022-11-28 16:40:32,500] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/layer_07-model_00-model_states.pt.
0: [2022-11-28 16:40:32,500] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step20000/layer_08-model_00-model_states.pt...
0: [2022-11-28 16:40:32,511] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/layer_08-model_00-model_states.pt.
0: [2022-11-28 16:40:32,512] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step20000/layer_09-model_00-model_states.pt...
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3: [2022-11-28 16:40:32,605] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:40:32,605] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
3: [2022-11-28 16:40:32,605] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
7: [2022-11-28 16:40:32,605] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:40:32,605] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
7: [2022-11-28 16:40:32,605] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt
7: [2022-11-28 16:40:32,605] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
4: [2022-11-28 16:40:32,605] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:40:32,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
5: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
3: [2022-11-28 16:40:32,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
5: [2022-11-28 16:40:32,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt
3: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
6: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
6: [2022-11-28 16:40:32,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt
6: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
4: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:40:32,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt
2: [2022-11-28 16:40:32,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
4: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
2: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
4: [2022-11-28 16:40:32,606] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:40:32,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
4: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
0: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:40:32,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
0: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
3: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:40:32,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt
3: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
2: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:40:32,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
2: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
3: [2022-11-28 16:40:32,607] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:40:32,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
3: [2022-11-28 16:40:32,608] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
1: [2022-11-28 16:40:32,609] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:40:32,609] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt
1: [2022-11-28 16:40:32,610] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
7: [2022-11-28 16:40:32,610] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:40:32,610] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step20000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
7: [2022-11-28 16:40:32,610] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now!
0:   successfully saved checkpoint at iteration   20000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 246.62
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7:  iteration    20120/   37905 | consumed samples:      5150720 | consumed tokens:  10548674560 | elapsed time per iteration (s): 0.25 | learning rate: 1.026E-05 | global batch size:   256 | lm loss: 3.397664E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.908 | TFLOPs: 26.31 |
7:  iteration    20130/   37905 | consumed samples:      5153280 | consumed tokens:  10553917440 | elapsed time per iteration (s): 0.27 | learning rate: 1.026E-05 | global batch size:   256 | lm loss: 3.412973E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 939.040 | TFLOPs: 23.92 |
7:  iteration    20140/   37905 | consumed samples:      5155840 | consumed tokens:  10559160320 | elapsed time per iteration (s): 0.25 | learning rate: 1.025E-05 | global batch size:   256 | lm loss: 3.401356E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.399 | TFLOPs: 26.12 |
7:  iteration    20150/   37905 | consumed samples:      5158400 | consumed tokens:  10564403200 | elapsed time per iteration (s): 0.26 | learning rate: 1.024E-05 | global batch size:   256 | lm loss: 3.411467E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.530 | TFLOPs: 25.13 |
7:  iteration    20160/   37905 | consumed samples:      5160960 | consumed tokens:  10569646080 | elapsed time per iteration (s): 0.27 | learning rate: 1.023E-05 | global batch size:   256 | lm loss: 3.457293E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 944.500 | TFLOPs: 24.06 |
7:  iteration    20170/   37905 | consumed samples:      5163520 | consumed tokens:  10574888960 | elapsed time per iteration (s): 0.24 | learning rate: 1.023E-05 | global batch size:   256 | lm loss: 3.397248E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.816 | TFLOPs: 26.67 |
7:  iteration    20180/   37905 | consumed samples:      5166080 | consumed tokens:  10580131840 | elapsed time per iteration (s): 0.25 | learning rate: 1.022E-05 | global batch size:   256 | lm loss: 3.413727E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.783 | TFLOPs: 26.16 |
7:  iteration    20190/   37905 | consumed samples:      5168640 | consumed tokens:  10585374720 | elapsed time per iteration (s): 0.25 | learning rate: 1.021E-05 | global batch size:   256 | lm loss: 3.403600E+00 | grad norm: 0.609 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.297 | TFLOPs: 26.60 |
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7:  iteration    20250/   37905 | consumed samples:      5184000 | consumed tokens:  10616832000 | elapsed time per iteration (s): 0.26 | learning rate: 1.017E-05 | global batch size:   256 | lm loss: 3.398072E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.128 | TFLOPs: 25.05 |
7:  iteration    20260/   37905 | consumed samples:      5186560 | consumed tokens:  10622074880 | elapsed time per iteration (s): 0.25 | learning rate: 1.016E-05 | global batch size:   256 | lm loss: 3.390240E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.420 | TFLOPs: 26.35 |
7:  iteration    20270/   37905 | consumed samples:      5189120 | consumed tokens:  10627317760 | elapsed time per iteration (s): 0.27 | learning rate: 1.015E-05 | global batch size:   256 | lm loss: 3.402748E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.876 | TFLOPs: 24.45 |
7:  iteration    20280/   37905 | consumed samples:      5191680 | consumed tokens:  10632560640 | elapsed time per iteration (s): 0.28 | learning rate: 1.014E-05 | global batch size:   256 | lm loss: 3.411783E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.314 | TFLOPs: 23.65 |
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7:  iteration    20310/   37905 | consumed samples:      5199360 | consumed tokens:  10648289280 | elapsed time per iteration (s): 0.25 | learning rate: 1.012E-05 | global batch size:   256 | lm loss: 3.395993E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.604 | TFLOPs: 26.13 |
7:  iteration    20320/   37905 | consumed samples:      5201920 | consumed tokens:  10653532160 | elapsed time per iteration (s): 0.28 | learning rate: 1.011E-05 | global batch size:   256 | lm loss: 3.417206E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.055 | TFLOPs: 23.69 |
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7:  iteration    20340/   37905 | consumed samples:      5207040 | consumed tokens:  10664017920 | elapsed time per iteration (s): 0.27 | learning rate: 1.010E-05 | global batch size:   256 | lm loss: 3.397546E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.063 | TFLOPs: 23.90 |
7:  iteration    20350/   37905 | consumed samples:      5209600 | consumed tokens:  10669260800 | elapsed time per iteration (s): 0.25 | learning rate: 1.009E-05 | global batch size:   256 | lm loss: 3.342953E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.632 | TFLOPs: 26.10 |
7:  iteration    20360/   37905 | consumed samples:      5212160 | consumed tokens:  10674503680 | elapsed time per iteration (s): 0.27 | learning rate: 1.008E-05 | global batch size:   256 | lm loss: 3.413052E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.792 | TFLOPs: 24.22 |
7:  iteration    20370/   37905 | consumed samples:      5214720 | consumed tokens:  10679746560 | elapsed time per iteration (s): 0.28 | learning rate: 1.008E-05 | global batch size:   256 | lm loss: 3.382057E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 925.800 | TFLOPs: 23.58 |
7:  iteration    20380/   37905 | consumed samples:      5217280 | consumed tokens:  10684989440 | elapsed time per iteration (s): 0.26 | learning rate: 1.007E-05 | global batch size:   256 | lm loss: 3.415353E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.884 | TFLOPs: 25.04 |
7:  iteration    20390/   37905 | consumed samples:      5219840 | consumed tokens:  10690232320 | elapsed time per iteration (s): 0.26 | learning rate: 1.006E-05 | global batch size:   256 | lm loss: 3.381906E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.249 | TFLOPs: 24.74 |
7:  iteration    20400/   37905 | consumed samples:      5222400 | consumed tokens:  10695475200 | elapsed time per iteration (s): 0.24 | learning rate: 1.005E-05 | global batch size:   256 | lm loss: 3.430815E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.877 | TFLOPs: 26.72 |
7:  iteration    20410/   37905 | consumed samples:      5224960 | consumed tokens:  10700718080 | elapsed time per iteration (s): 0.26 | learning rate: 1.005E-05 | global batch size:   256 | lm loss: 3.388364E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.145 | TFLOPs: 24.71 |
7:  iteration    20420/   37905 | consumed samples:      5227520 | consumed tokens:  10705960960 | elapsed time per iteration (s): 0.27 | learning rate: 1.004E-05 | global batch size:   256 | lm loss: 3.423841E+00 | grad norm: 0.590 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.669 | TFLOPs: 24.35 |
7:  iteration    20430/   37905 | consumed samples:      5230080 | consumed tokens:  10711203840 | elapsed time per iteration (s): 0.25 | learning rate: 1.003E-05 | global batch size:   256 | lm loss: 3.409422E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.337 | TFLOPs: 25.74 |
7:  iteration    20440/   37905 | consumed samples:      5232640 | consumed tokens:  10716446720 | elapsed time per iteration (s): 0.24 | learning rate: 1.002E-05 | global batch size:   256 | lm loss: 3.405558E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.707 | TFLOPs: 27.17 |
7:  iteration    20450/   37905 | consumed samples:      5235200 | consumed tokens:  10721689600 | elapsed time per iteration (s): 0.26 | learning rate: 1.002E-05 | global batch size:   256 | lm loss: 3.401762E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.992 | TFLOPs: 25.04 |
7:  iteration    20460/   37905 | consumed samples:      5237760 | consumed tokens:  10726932480 | elapsed time per iteration (s): 0.26 | learning rate: 1.001E-05 | global batch size:   256 | lm loss: 3.399217E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.123 | TFLOPs: 25.12 |
7:  iteration    20470/   37905 | consumed samples:      5240320 | consumed tokens:  10732175360 | elapsed time per iteration (s): 0.24 | learning rate: 1.000E-05 | global batch size:   256 | lm loss: 3.401247E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.788 | TFLOPs: 27.00 |
7:  iteration    20480/   37905 | consumed samples:      5242880 | consumed tokens:  10737418240 | elapsed time per iteration (s): 0.26 | learning rate: 9.994E-06 | global batch size:   256 | lm loss: 3.413830E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.414 | TFLOPs: 24.90 |
7:  iteration    20490/   37905 | consumed samples:      5245440 | consumed tokens:  10742661120 | elapsed time per iteration (s): 0.24 | learning rate: 9.987E-06 | global batch size:   256 | lm loss: 3.413513E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1073.897 | TFLOPs: 27.36 |
7:  iteration    20500/   37905 | consumed samples:      5248000 | consumed tokens:  10747904000 | elapsed time per iteration (s): 0.27 | learning rate: 9.979E-06 | global batch size:   256 | lm loss: 3.415963E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.690 | TFLOPs: 24.09 |
7:  iteration    20510/   37905 | consumed samples:      5250560 | consumed tokens:  10753146880 | elapsed time per iteration (s): 0.28 | learning rate: 9.972E-06 | global batch size:   256 | lm loss: 3.398621E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.812 | TFLOPs: 23.71 |
7:  iteration    20520/   37905 | consumed samples:      5253120 | consumed tokens:  10758389760 | elapsed time per iteration (s): 0.26 | learning rate: 9.964E-06 | global batch size:   256 | lm loss: 3.458002E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.595 | TFLOPs: 24.65 |
7:  iteration    20530/   37905 | consumed samples:      5255680 | consumed tokens:  10763632640 | elapsed time per iteration (s): 0.28 | learning rate: 9.957E-06 | global batch size:   256 | lm loss: 3.418202E+00 | grad norm: 0.582 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.570 | TFLOPs: 23.15 |
7:  iteration    20540/   37905 | consumed samples:      5258240 | consumed tokens:  10768875520 | elapsed time per iteration (s): 0.25 | learning rate: 9.949E-06 | global batch size:   256 | lm loss: 3.391585E+00 | grad norm: 0.656 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.661 | TFLOPs: 26.15 |
7:  iteration    20550/   37905 | consumed samples:      5260800 | consumed tokens:  10774118400 | elapsed time per iteration (s): 0.25 | learning rate: 9.942E-06 | global batch size:   256 | lm loss: 3.419643E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.655 | TFLOPs: 26.49 |
7:  iteration    20560/   37905 | consumed samples:      5263360 | consumed tokens:  10779361280 | elapsed time per iteration (s): 0.25 | learning rate: 9.934E-06 | global batch size:   256 | lm loss: 3.404697E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.442 | TFLOPs: 26.25 |
7:  iteration    20570/   37905 | consumed samples:      5265920 | consumed tokens:  10784604160 | elapsed time per iteration (s): 0.30 | learning rate: 9.927E-06 | global batch size:   256 | lm loss: 3.394220E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 865.683 | TFLOPs: 22.05 |
7:  iteration    20580/   37905 | consumed samples:      5268480 | consumed tokens:  10789847040 | elapsed time per iteration (s): 0.27 | learning rate: 9.919E-06 | global batch size:   256 | lm loss: 3.368095E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.499 | TFLOPs: 24.27 |
7:  iteration    20590/   37905 | consumed samples:      5271040 | consumed tokens:  10795089920 | elapsed time per iteration (s): 0.26 | learning rate: 9.912E-06 | global batch size:   256 | lm loss: 3.412127E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.829 | TFLOPs: 25.34 |
7:  iteration    20600/   37905 | consumed samples:      5273600 | consumed tokens:  10800332800 | elapsed time per iteration (s): 0.27 | learning rate: 9.904E-06 | global batch size:   256 | lm loss: 3.372590E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.229 | TFLOPs: 24.21 |
7:  iteration    20610/   37905 | consumed samples:      5276160 | consumed tokens:  10805575680 | elapsed time per iteration (s): 0.26 | learning rate: 9.897E-06 | global batch size:   256 | lm loss: 3.385746E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.487 | TFLOPs: 24.80 |
7:  iteration    20620/   37905 | consumed samples:      5278720 | consumed tokens:  10810818560 | elapsed time per iteration (s): 0.25 | learning rate: 9.889E-06 | global batch size:   256 | lm loss: 3.377893E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.897 | TFLOPs: 25.65 |
7:  iteration    20630/   37905 | consumed samples:      5281280 | consumed tokens:  10816061440 | elapsed time per iteration (s): 0.26 | learning rate: 9.882E-06 | global batch size:   256 | lm loss: 3.434781E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.177 | TFLOPs: 24.74 |
7:  iteration    20640/   37905 | consumed samples:      5283840 | consumed tokens:  10821304320 | elapsed time per iteration (s): 0.23 | learning rate: 9.874E-06 | global batch size:   256 | lm loss: 3.415339E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.775 | TFLOPs: 28.20 |
7:  iteration    20650/   37905 | consumed samples:      5286400 | consumed tokens:  10826547200 | elapsed time per iteration (s): 0.27 | learning rate: 9.867E-06 | global batch size:   256 | lm loss: 3.401883E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.928 | TFLOPs: 24.02 |
7:  iteration    20660/   37905 | consumed samples:      5288960 | consumed tokens:  10831790080 | elapsed time per iteration (s): 0.23 | learning rate: 9.859E-06 | global batch size:   256 | lm loss: 3.437746E+00 | grad norm: 0.620 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.760 | TFLOPs: 28.35 |
7:  iteration    20670/   37905 | consumed samples:      5291520 | consumed tokens:  10837032960 | elapsed time per iteration (s): 0.27 | learning rate: 9.852E-06 | global batch size:   256 | lm loss: 3.410838E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.412 | TFLOPs: 24.49 |
7:  iteration    20680/   37905 | consumed samples:      5294080 | consumed tokens:  10842275840 | elapsed time per iteration (s): 0.25 | learning rate: 9.844E-06 | global batch size:   256 | lm loss: 3.379977E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.335 | TFLOPs: 26.38 |
7:  iteration    20690/   37905 | consumed samples:      5296640 | consumed tokens:  10847518720 | elapsed time per iteration (s): 0.28 | learning rate: 9.837E-06 | global batch size:   256 | lm loss: 3.404639E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 902.639 | TFLOPs: 22.99 |
7:  iteration    20700/   37905 | consumed samples:      5299200 | consumed tokens:  10852761600 | elapsed time per iteration (s): 0.27 | learning rate: 9.829E-06 | global batch size:   256 | lm loss: 3.407517E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.702 | TFLOPs: 24.52 |
7:  iteration    20710/   37905 | consumed samples:      5301760 | consumed tokens:  10858004480 | elapsed time per iteration (s): 0.28 | learning rate: 9.822E-06 | global batch size:   256 | lm loss: 3.374104E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.858 | TFLOPs: 23.69 |
7:  iteration    20720/   37905 | consumed samples:      5304320 | consumed tokens:  10863247360 | elapsed time per iteration (s): 0.24 | learning rate: 9.815E-06 | global batch size:   256 | lm loss: 3.383807E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.265 | TFLOPs: 26.65 |
7:  iteration    20730/   37905 | consumed samples:      5306880 | consumed tokens:  10868490240 | elapsed time per iteration (s): 0.27 | learning rate: 9.807E-06 | global batch size:   256 | lm loss: 3.406651E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.449 | TFLOPs: 24.19 |
7:  iteration    20740/   37905 | consumed samples:      5309440 | consumed tokens:  10873733120 | elapsed time per iteration (s): 0.27 | learning rate: 9.800E-06 | global batch size:   256 | lm loss: 3.392983E+00 | grad norm: 0.596 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.973 | TFLOPs: 24.38 |
7:  iteration    20750/   37905 | consumed samples:      5312000 | consumed tokens:  10878976000 | elapsed time per iteration (s): 0.24 | learning rate: 9.792E-06 | global batch size:   256 | lm loss: 3.415203E+00 | grad norm: 0.582 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.763 | TFLOPs: 27.15 |
7:  iteration    20760/   37905 | consumed samples:      5314560 | consumed tokens:  10884218880 | elapsed time per iteration (s): 0.26 | learning rate: 9.785E-06 | global batch size:   256 | lm loss: 3.412883E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.060 | TFLOPs: 24.71 |
7:  iteration    20770/   37905 | consumed samples:      5317120 | consumed tokens:  10889461760 | elapsed time per iteration (s): 0.26 | learning rate: 9.777E-06 | global batch size:   256 | lm loss: 3.409303E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 979.577 | TFLOPs: 24.95 |
7:  iteration    20780/   37905 | consumed samples:      5319680 | consumed tokens:  10894704640 | elapsed time per iteration (s): 0.24 | learning rate: 9.770E-06 | global batch size:   256 | lm loss: 3.403364E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.686 | TFLOPs: 27.38 |
7:  iteration    20790/   37905 | consumed samples:      5322240 | consumed tokens:  10899947520 | elapsed time per iteration (s): 0.30 | learning rate: 9.762E-06 | global batch size:   256 | lm loss: 3.418370E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 859.848 | TFLOPs: 21.90 |
7:  iteration    20800/   37905 | consumed samples:      5324800 | consumed tokens:  10905190400 | elapsed time per iteration (s): 0.23 | learning rate: 9.755E-06 | global batch size:   256 | lm loss: 3.436542E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.341 | TFLOPs: 28.49 |
7:  iteration    20810/   37905 | consumed samples:      5327360 | consumed tokens:  10910433280 | elapsed time per iteration (s): 0.29 | learning rate: 9.747E-06 | global batch size:   256 | lm loss: 3.399233E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.224 | TFLOPs: 22.19 |
7:  iteration    20820/   37905 | consumed samples:      5329920 | consumed tokens:  10915676160 | elapsed time per iteration (s): 0.26 | learning rate: 9.740E-06 | global batch size:   256 | lm loss: 3.401953E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.080 | TFLOPs: 24.79 |
7:  iteration    20830/   37905 | consumed samples:      5332480 | consumed tokens:  10920919040 | elapsed time per iteration (s): 0.26 | learning rate: 9.732E-06 | global batch size:   256 | lm loss: 3.351834E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.399 | TFLOPs: 25.43 |
7:  iteration    20840/   37905 | consumed samples:      5335040 | consumed tokens:  10926161920 | elapsed time per iteration (s): 0.27 | learning rate: 9.725E-06 | global batch size:   256 | lm loss: 3.400964E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.472 | TFLOPs: 24.14 |
7:  iteration    20850/   37905 | consumed samples:      5337600 | consumed tokens:  10931404800 | elapsed time per iteration (s): 0.25 | learning rate: 9.718E-06 | global batch size:   256 | lm loss: 3.406280E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.993 | TFLOPs: 26.16 |
7:  iteration    20860/   37905 | consumed samples:      5340160 | consumed tokens:  10936647680 | elapsed time per iteration (s): 0.27 | learning rate: 9.710E-06 | global batch size:   256 | lm loss: 3.414128E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.003 | TFLOPs: 23.95 |
7:  iteration    20870/   37905 | consumed samples:      5342720 | consumed tokens:  10941890560 | elapsed time per iteration (s): 0.25 | learning rate: 9.703E-06 | global batch size:   256 | lm loss: 3.419833E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.651 | TFLOPs: 26.08 |
7:  iteration    20880/   37905 | consumed samples:      5345280 | consumed tokens:  10947133440 | elapsed time per iteration (s): 0.25 | learning rate: 9.695E-06 | global batch size:   256 | lm loss: 3.419921E+00 | grad norm: 0.592 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.204 | TFLOPs: 26.24 |
7:  iteration    20890/   37905 | consumed samples:      5347840 | consumed tokens:  10952376320 | elapsed time per iteration (s): 0.27 | learning rate: 9.688E-06 | global batch size:   256 | lm loss: 3.387536E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.594 | TFLOPs: 23.91 |
7:  iteration    20900/   37905 | consumed samples:      5350400 | consumed tokens:  10957619200 | elapsed time per iteration (s): 0.28 | learning rate: 9.680E-06 | global batch size:   256 | lm loss: 3.387227E+00 | grad norm: 0.572 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.170 | TFLOPs: 23.31 |
7:  iteration    20910/   37905 | consumed samples:      5352960 | consumed tokens:  10962862080 | elapsed time per iteration (s): 0.26 | learning rate: 9.673E-06 | global batch size:   256 | lm loss: 3.382578E+00 | grad norm: 0.639 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.034 | TFLOPs: 25.45 |
7:  iteration    20920/   37905 | consumed samples:      5355520 | consumed tokens:  10968104960 | elapsed time per iteration (s): 0.26 | learning rate: 9.665E-06 | global batch size:   256 | lm loss: 3.400582E+00 | grad norm: 0.629 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.910 | TFLOPs: 24.91 |
7:  iteration    20930/   37905 | consumed samples:      5358080 | consumed tokens:  10973347840 | elapsed time per iteration (s): 0.29 | learning rate: 9.658E-06 | global batch size:   256 | lm loss: 3.398158E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.629 | TFLOPs: 22.87 |
7:  iteration    20940/   37905 | consumed samples:      5360640 | consumed tokens:  10978590720 | elapsed time per iteration (s): 0.24 | learning rate: 9.650E-06 | global batch size:   256 | lm loss: 3.362156E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.206 | TFLOPs: 27.72 |
7:  iteration    20950/   37905 | consumed samples:      5363200 | consumed tokens:  10983833600 | elapsed time per iteration (s): 0.25 | learning rate: 9.643E-06 | global batch size:   256 | lm loss: 3.393943E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.630 | TFLOPs: 26.33 |
7:  iteration    20960/   37905 | consumed samples:      5365760 | consumed tokens:  10989076480 | elapsed time per iteration (s): 0.26 | learning rate: 9.636E-06 | global batch size:   256 | lm loss: 3.394748E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.240 | TFLOPs: 24.72 |
7:  iteration    20970/   37905 | consumed samples:      5368320 | consumed tokens:  10994319360 | elapsed time per iteration (s): 0.26 | learning rate: 9.628E-06 | global batch size:   256 | lm loss: 3.379433E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.994 | TFLOPs: 25.45 |
7:  iteration    20980/   37905 | consumed samples:      5370880 | consumed tokens:  10999562240 | elapsed time per iteration (s): 0.28 | learning rate: 9.621E-06 | global batch size:   256 | lm loss: 3.369261E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.878 | TFLOPs: 23.23 |
7:  iteration    20990/   37905 | consumed samples:      5373440 | consumed tokens:  11004805120 | elapsed time per iteration (s): 0.26 | learning rate: 9.613E-06 | global batch size:   256 | lm loss: 3.404496E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.084 | TFLOPs: 25.45 |
7:  iteration    21000/   37905 | consumed samples:      5376000 | consumed tokens:  11010048000 | elapsed time per iteration (s): 0.24 | learning rate: 9.606E-06 | global batch size:   256 | lm loss: 3.409935E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.094 | TFLOPs: 26.85 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 21000 | lm loss value: 3.290260E+00 | lm loss PPL: 2.684983E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   21000 to checkpoints_83slr
0: [2022-11-28 16:44:53,016] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21000 is begin to save!
0: [2022-11-28 16:44:53,019] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step21000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:44:53,089] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:44:53,089] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step21000/layer_03-model_00-model_states.pt...
0: [2022-11-28 16:44:53,101] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/layer_03-model_00-model_states.pt.
0: [2022-11-28 16:44:53,102] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step21000/layer_04-model_00-model_states.pt...
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3: [2022-11-28 16:44:53,251] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
3: [2022-11-28 16:44:53,251] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 16:44:53,251] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
1: [2022-11-28 16:44:53,251] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:44:53,251] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:44:53,251] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt
0: [2022-11-28 16:44:53,251] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
1: [2022-11-28 16:44:53,251] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
0: [2022-11-28 16:44:53,251] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
4: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:44:53,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
4: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
6: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:44:53,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt
6: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
6: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:44:53,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
4: [2022-11-28 16:44:53,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt
3: [2022-11-28 16:44:53,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
6: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
4: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
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7: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:44:53,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
3: [2022-11-28 16:44:53,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt
7: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
3: [2022-11-28 16:44:53,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
0: [2022-11-28 16:44:53,253] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:44:53,253] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
0: [2022-11-28 16:44:53,253] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
2: [2022-11-28 16:44:53,253] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:44:53,253] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
2: [2022-11-28 16:44:53,253] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
1: [2022-11-28 16:44:53,253] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:44:53,253] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
1: [2022-11-28 16:44:53,253] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
1: [2022-11-28 16:44:53,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:44:53,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:44:53,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt
1: [2022-11-28 16:44:53,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt
1: [2022-11-28 16:44:53,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
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7: [2022-11-28 16:44:53,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
7: [2022-11-28 16:44:53,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
2: [2022-11-28 16:44:53,255] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:44:53,255] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
2: [2022-11-28 16:44:53,255] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
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7: [2022-11-28 16:44:53,256] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
7: [2022-11-28 16:44:53,256] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
5: [2022-11-28 16:44:53,257] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:44:53,257] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step21000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt
5: [2022-11-28 16:44:53,257] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now!
0:   successfully saved checkpoint at iteration   21000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 246.10
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7:  iteration    21140/   37905 | consumed samples:      5411840 | consumed tokens:  11083448320 | elapsed time per iteration (s): 0.24 | learning rate: 9.502E-06 | global batch size:   256 | lm loss: 3.395644E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.398 | TFLOPs: 26.84 |
7:  iteration    21150/   37905 | consumed samples:      5414400 | consumed tokens:  11088691200 | elapsed time per iteration (s): 0.25 | learning rate: 9.494E-06 | global batch size:   256 | lm loss: 3.421173E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.296 | TFLOPs: 25.71 |
7:  iteration    21160/   37905 | consumed samples:      5416960 | consumed tokens:  11093934080 | elapsed time per iteration (s): 0.28 | learning rate: 9.487E-06 | global batch size:   256 | lm loss: 3.404327E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.508 | TFLOPs: 23.30 |
7:  iteration    21170/   37905 | consumed samples:      5419520 | consumed tokens:  11099176960 | elapsed time per iteration (s): 0.25 | learning rate: 9.479E-06 | global batch size:   256 | lm loss: 3.380930E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.706 | TFLOPs: 25.62 |
7:  iteration    21180/   37905 | consumed samples:      5422080 | consumed tokens:  11104419840 | elapsed time per iteration (s): 0.25 | learning rate: 9.472E-06 | global batch size:   256 | lm loss: 3.376067E+00 | grad norm: 0.602 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.105 | TFLOPs: 25.91 |
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7:  iteration    21210/   37905 | consumed samples:      5429760 | consumed tokens:  11120148480 | elapsed time per iteration (s): 0.25 | learning rate: 9.450E-06 | global batch size:   256 | lm loss: 3.368463E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.760 | TFLOPs: 25.80 |
7:  iteration    21220/   37905 | consumed samples:      5432320 | consumed tokens:  11125391360 | elapsed time per iteration (s): 0.26 | learning rate: 9.442E-06 | global batch size:   256 | lm loss: 3.393798E+00 | grad norm: 0.609 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.199 | TFLOPs: 24.84 |
7:  iteration    21230/   37905 | consumed samples:      5434880 | consumed tokens:  11130634240 | elapsed time per iteration (s): 0.25 | learning rate: 9.435E-06 | global batch size:   256 | lm loss: 3.378230E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.098 | TFLOPs: 26.27 |
7:  iteration    21240/   37905 | consumed samples:      5437440 | consumed tokens:  11135877120 | elapsed time per iteration (s): 0.24 | learning rate: 9.427E-06 | global batch size:   256 | lm loss: 3.354007E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.758 | TFLOPs: 27.38 |
7:  iteration    21250/   37905 | consumed samples:      5440000 | consumed tokens:  11141120000 | elapsed time per iteration (s): 0.28 | learning rate: 9.420E-06 | global batch size:   256 | lm loss: 3.444559E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 904.688 | TFLOPs: 23.05 |
7:  iteration    21260/   37905 | consumed samples:      5442560 | consumed tokens:  11146362880 | elapsed time per iteration (s): 0.25 | learning rate: 9.413E-06 | global batch size:   256 | lm loss: 3.408299E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.118 | TFLOPs: 26.32 |
7:  iteration    21270/   37905 | consumed samples:      5445120 | consumed tokens:  11151605760 | elapsed time per iteration (s): 0.25 | learning rate: 9.405E-06 | global batch size:   256 | lm loss: 3.366350E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.590 | TFLOPs: 26.00 |
7:  iteration    21280/   37905 | consumed samples:      5447680 | consumed tokens:  11156848640 | elapsed time per iteration (s): 0.24 | learning rate: 9.398E-06 | global batch size:   256 | lm loss: 3.392030E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.208 | TFLOPs: 27.39 |
7:  iteration    21290/   37905 | consumed samples:      5450240 | consumed tokens:  11162091520 | elapsed time per iteration (s): 0.26 | learning rate: 9.390E-06 | global batch size:   256 | lm loss: 3.451378E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.744 | TFLOPs: 24.68 |
7:  iteration    21300/   37905 | consumed samples:      5452800 | consumed tokens:  11167334400 | elapsed time per iteration (s): 0.25 | learning rate: 9.383E-06 | global batch size:   256 | lm loss: 3.393570E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.208 | TFLOPs: 25.86 |
7:  iteration    21310/   37905 | consumed samples:      5455360 | consumed tokens:  11172577280 | elapsed time per iteration (s): 0.24 | learning rate: 9.376E-06 | global batch size:   256 | lm loss: 3.373664E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.918 | TFLOPs: 27.15 |
7:  iteration    21320/   37905 | consumed samples:      5457920 | consumed tokens:  11177820160 | elapsed time per iteration (s): 0.28 | learning rate: 9.368E-06 | global batch size:   256 | lm loss: 3.409188E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 918.034 | TFLOPs: 23.39 |
7:  iteration    21330/   37905 | consumed samples:      5460480 | consumed tokens:  11183063040 | elapsed time per iteration (s): 0.23 | learning rate: 9.361E-06 | global batch size:   256 | lm loss: 3.375188E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.202 | TFLOPs: 28.64 |
7:  iteration    21340/   37905 | consumed samples:      5463040 | consumed tokens:  11188305920 | elapsed time per iteration (s): 0.26 | learning rate: 9.353E-06 | global batch size:   256 | lm loss: 3.390816E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.470 | TFLOPs: 25.16 |
7:  iteration    21350/   37905 | consumed samples:      5465600 | consumed tokens:  11193548800 | elapsed time per iteration (s): 0.28 | learning rate: 9.346E-06 | global batch size:   256 | lm loss: 3.419011E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 925.424 | TFLOPs: 23.58 |
7:  iteration    21360/   37905 | consumed samples:      5468160 | consumed tokens:  11198791680 | elapsed time per iteration (s): 0.29 | learning rate: 9.338E-06 | global batch size:   256 | lm loss: 3.422721E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.084 | TFLOPs: 22.37 |
7:  iteration    21370/   37905 | consumed samples:      5470720 | consumed tokens:  11204034560 | elapsed time per iteration (s): 0.27 | learning rate: 9.331E-06 | global batch size:   256 | lm loss: 3.424100E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.745 | TFLOPs: 24.37 |
7:  iteration    21380/   37905 | consumed samples:      5473280 | consumed tokens:  11209277440 | elapsed time per iteration (s): 0.29 | learning rate: 9.324E-06 | global batch size:   256 | lm loss: 3.353452E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.389 | TFLOPs: 22.53 |
7:  iteration    21390/   37905 | consumed samples:      5475840 | consumed tokens:  11214520320 | elapsed time per iteration (s): 0.24 | learning rate: 9.316E-06 | global batch size:   256 | lm loss: 3.404249E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.359 | TFLOPs: 26.89 |
7:  iteration    21400/   37905 | consumed samples:      5478400 | consumed tokens:  11219763200 | elapsed time per iteration (s): 0.25 | learning rate: 9.309E-06 | global batch size:   256 | lm loss: 3.395836E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.201 | TFLOPs: 25.58 |
7:  iteration    21410/   37905 | consumed samples:      5480960 | consumed tokens:  11225006080 | elapsed time per iteration (s): 0.26 | learning rate: 9.301E-06 | global batch size:   256 | lm loss: 3.423108E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.498 | TFLOPs: 25.00 |
7:  iteration    21420/   37905 | consumed samples:      5483520 | consumed tokens:  11230248960 | elapsed time per iteration (s): 0.24 | learning rate: 9.294E-06 | global batch size:   256 | lm loss: 3.406215E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.645 | TFLOPs: 26.99 |
7:  iteration    21430/   37905 | consumed samples:      5486080 | consumed tokens:  11235491840 | elapsed time per iteration (s): 0.29 | learning rate: 9.287E-06 | global batch size:   256 | lm loss: 3.431505E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.271 | TFLOPs: 22.83 |
7:  iteration    21440/   37905 | consumed samples:      5488640 | consumed tokens:  11240734720 | elapsed time per iteration (s): 0.24 | learning rate: 9.279E-06 | global batch size:   256 | lm loss: 3.416519E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.322 | TFLOPs: 27.44 |
7:  iteration    21450/   37905 | consumed samples:      5491200 | consumed tokens:  11245977600 | elapsed time per iteration (s): 0.25 | learning rate: 9.272E-06 | global batch size:   256 | lm loss: 3.410419E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.162 | TFLOPs: 26.04 |
7:  iteration    21460/   37905 | consumed samples:      5493760 | consumed tokens:  11251220480 | elapsed time per iteration (s): 0.27 | learning rate: 9.264E-06 | global batch size:   256 | lm loss: 3.380830E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.160 | TFLOPs: 23.72 |
7:  iteration    21470/   37905 | consumed samples:      5496320 | consumed tokens:  11256463360 | elapsed time per iteration (s): 0.27 | learning rate: 9.257E-06 | global batch size:   256 | lm loss: 3.380318E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.222 | TFLOPs: 24.00 |
7:  iteration    21480/   37905 | consumed samples:      5498880 | consumed tokens:  11261706240 | elapsed time per iteration (s): 0.23 | learning rate: 9.250E-06 | global batch size:   256 | lm loss: 3.385798E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.316 | TFLOPs: 27.93 |
7:  iteration    21490/   37905 | consumed samples:      5501440 | consumed tokens:  11266949120 | elapsed time per iteration (s): 0.28 | learning rate: 9.242E-06 | global batch size:   256 | lm loss: 3.433114E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.361 | TFLOPs: 23.65 |
7:  iteration    21500/   37905 | consumed samples:      5504000 | consumed tokens:  11272192000 | elapsed time per iteration (s): 0.23 | learning rate: 9.235E-06 | global batch size:   256 | lm loss: 3.400016E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.875 | TFLOPs: 28.40 |
7:  iteration    21510/   37905 | consumed samples:      5506560 | consumed tokens:  11277434880 | elapsed time per iteration (s): 0.25 | learning rate: 9.228E-06 | global batch size:   256 | lm loss: 3.356787E+00 | grad norm: 0.658 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.925 | TFLOPs: 25.73 |
7:  iteration    21520/   37905 | consumed samples:      5509120 | consumed tokens:  11282677760 | elapsed time per iteration (s): 0.24 | learning rate: 9.220E-06 | global batch size:   256 | lm loss: 3.412178E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.339 | TFLOPs: 26.81 |
7:  iteration    21530/   37905 | consumed samples:      5511680 | consumed tokens:  11287920640 | elapsed time per iteration (s): 0.24 | learning rate: 9.213E-06 | global batch size:   256 | lm loss: 3.365789E+00 | grad norm: 0.586 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.596 | TFLOPs: 27.27 |
7:  iteration    21540/   37905 | consumed samples:      5514240 | consumed tokens:  11293163520 | elapsed time per iteration (s): 0.28 | learning rate: 9.205E-06 | global batch size:   256 | lm loss: 3.341852E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 903.917 | TFLOPs: 23.03 |
7:  iteration    21550/   37905 | consumed samples:      5516800 | consumed tokens:  11298406400 | elapsed time per iteration (s): 0.24 | learning rate: 9.198E-06 | global batch size:   256 | lm loss: 3.412988E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.662 | TFLOPs: 27.43 |
7:  iteration    21560/   37905 | consumed samples:      5519360 | consumed tokens:  11303649280 | elapsed time per iteration (s): 0.28 | learning rate: 9.191E-06 | global batch size:   256 | lm loss: 3.383173E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.733 | TFLOPs: 23.43 |
7:  iteration    21570/   37905 | consumed samples:      5521920 | consumed tokens:  11308892160 | elapsed time per iteration (s): 0.26 | learning rate: 9.183E-06 | global batch size:   256 | lm loss: 3.380568E+00 | grad norm: 0.618 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.863 | TFLOPs: 25.34 |
7:  iteration    21580/   37905 | consumed samples:      5524480 | consumed tokens:  11314135040 | elapsed time per iteration (s): 0.26 | learning rate: 9.176E-06 | global batch size:   256 | lm loss: 3.396234E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.880 | TFLOPs: 25.17 |
7:  iteration    21590/   37905 | consumed samples:      5527040 | consumed tokens:  11319377920 | elapsed time per iteration (s): 0.25 | learning rate: 9.168E-06 | global batch size:   256 | lm loss: 3.348809E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.142 | TFLOPs: 25.73 |
7:  iteration    21600/   37905 | consumed samples:      5529600 | consumed tokens:  11324620800 | elapsed time per iteration (s): 0.26 | learning rate: 9.161E-06 | global batch size:   256 | lm loss: 3.406807E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.111 | TFLOPs: 24.71 |
7:  iteration    21610/   37905 | consumed samples:      5532160 | consumed tokens:  11329863680 | elapsed time per iteration (s): 0.28 | learning rate: 9.154E-06 | global batch size:   256 | lm loss: 3.426792E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.139 | TFLOPs: 23.52 |
7:  iteration    21620/   37905 | consumed samples:      5534720 | consumed tokens:  11335106560 | elapsed time per iteration (s): 0.26 | learning rate: 9.146E-06 | global batch size:   256 | lm loss: 3.410725E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.660 | TFLOPs: 24.78 |
7:  iteration    21630/   37905 | consumed samples:      5537280 | consumed tokens:  11340349440 | elapsed time per iteration (s): 0.25 | learning rate: 9.139E-06 | global batch size:   256 | lm loss: 3.422077E+00 | grad norm: 0.566 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.701 | TFLOPs: 25.95 |
7:  iteration    21640/   37905 | consumed samples:      5539840 | consumed tokens:  11345592320 | elapsed time per iteration (s): 0.24 | learning rate: 9.132E-06 | global batch size:   256 | lm loss: 3.417973E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.472 | TFLOPs: 26.74 |
7:  iteration    21650/   37905 | consumed samples:      5542400 | consumed tokens:  11350835200 | elapsed time per iteration (s): 0.28 | learning rate: 9.124E-06 | global batch size:   256 | lm loss: 3.385266E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.362 | TFLOPs: 23.24 |
7:  iteration    21660/   37905 | consumed samples:      5544960 | consumed tokens:  11356078080 | elapsed time per iteration (s): 0.24 | learning rate: 9.117E-06 | global batch size:   256 | lm loss: 3.397648E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.937 | TFLOPs: 26.62 |
7:  iteration    21670/   37905 | consumed samples:      5547520 | consumed tokens:  11361320960 | elapsed time per iteration (s): 0.27 | learning rate: 9.109E-06 | global batch size:   256 | lm loss: 3.344358E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.704 | TFLOPs: 24.45 |
7:  iteration    21680/   37905 | consumed samples:      5550080 | consumed tokens:  11366563840 | elapsed time per iteration (s): 0.25 | learning rate: 9.102E-06 | global batch size:   256 | lm loss: 3.406567E+00 | grad norm: 0.699 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.950 | TFLOPs: 25.83 |
7:  iteration    21690/   37905 | consumed samples:      5552640 | consumed tokens:  11371806720 | elapsed time per iteration (s): 0.24 | learning rate: 9.095E-06 | global batch size:   256 | lm loss: 3.369590E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1069.188 | TFLOPs: 27.24 |
7:  iteration    21700/   37905 | consumed samples:      5555200 | consumed tokens:  11377049600 | elapsed time per iteration (s): 0.23 | learning rate: 9.087E-06 | global batch size:   256 | lm loss: 3.352401E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.258 | TFLOPs: 27.90 |
7:  iteration    21710/   37905 | consumed samples:      5557760 | consumed tokens:  11382292480 | elapsed time per iteration (s): 0.24 | learning rate: 9.080E-06 | global batch size:   256 | lm loss: 3.379847E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.634 | TFLOPs: 26.74 |
7:  iteration    21720/   37905 | consumed samples:      5560320 | consumed tokens:  11387535360 | elapsed time per iteration (s): 0.26 | learning rate: 9.073E-06 | global batch size:   256 | lm loss: 3.386548E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.052 | TFLOPs: 24.66 |
7:  iteration    21730/   37905 | consumed samples:      5562880 | consumed tokens:  11392778240 | elapsed time per iteration (s): 0.26 | learning rate: 9.065E-06 | global batch size:   256 | lm loss: 3.369614E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.974 | TFLOPs: 25.50 |
7:  iteration    21740/   37905 | consumed samples:      5565440 | consumed tokens:  11398021120 | elapsed time per iteration (s): 0.25 | learning rate: 9.058E-06 | global batch size:   256 | lm loss: 3.363873E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.639 | TFLOPs: 26.54 |
7:  iteration    21750/   37905 | consumed samples:      5568000 | consumed tokens:  11403264000 | elapsed time per iteration (s): 0.24 | learning rate: 9.051E-06 | global batch size:   256 | lm loss: 3.376543E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.033 | TFLOPs: 27.31 |
7:  iteration    21760/   37905 | consumed samples:      5570560 | consumed tokens:  11408506880 | elapsed time per iteration (s): 0.23 | learning rate: 9.043E-06 | global batch size:   256 | lm loss: 3.412642E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.066 | TFLOPs: 28.58 |
7:  iteration    21770/   37905 | consumed samples:      5573120 | consumed tokens:  11413749760 | elapsed time per iteration (s): 0.27 | learning rate: 9.036E-06 | global batch size:   256 | lm loss: 3.390606E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 954.831 | TFLOPs: 24.32 |
7:  iteration    21780/   37905 | consumed samples:      5575680 | consumed tokens:  11418992640 | elapsed time per iteration (s): 0.23 | learning rate: 9.029E-06 | global batch size:   256 | lm loss: 3.370818E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.810 | TFLOPs: 28.04 |
7:  iteration    21790/   37905 | consumed samples:      5578240 | consumed tokens:  11424235520 | elapsed time per iteration (s): 0.23 | learning rate: 9.021E-06 | global batch size:   256 | lm loss: 3.400544E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.240 | TFLOPs: 28.72 |
7:  iteration    21800/   37905 | consumed samples:      5580800 | consumed tokens:  11429478400 | elapsed time per iteration (s): 0.27 | learning rate: 9.014E-06 | global batch size:   256 | lm loss: 3.399611E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 933.212 | TFLOPs: 23.77 |
7:  iteration    21810/   37905 | consumed samples:      5583360 | consumed tokens:  11434721280 | elapsed time per iteration (s): 0.25 | learning rate: 9.006E-06 | global batch size:   256 | lm loss: 3.388496E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.035 | TFLOPs: 26.06 |
7:  iteration    21820/   37905 | consumed samples:      5585920 | consumed tokens:  11439964160 | elapsed time per iteration (s): 0.24 | learning rate: 8.999E-06 | global batch size:   256 | lm loss: 3.395391E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.014 | TFLOPs: 27.36 |
7:  iteration    21830/   37905 | consumed samples:      5588480 | consumed tokens:  11445207040 | elapsed time per iteration (s): 0.26 | learning rate: 8.992E-06 | global batch size:   256 | lm loss: 3.402816E+00 | grad norm: 0.609 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.393 | TFLOPs: 24.85 |
7:  iteration    21840/   37905 | consumed samples:      5591040 | consumed tokens:  11450449920 | elapsed time per iteration (s): 0.23 | learning rate: 8.984E-06 | global batch size:   256 | lm loss: 3.392211E+00 | grad norm: 0.663 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.032 | TFLOPs: 27.79 |
7:  iteration    21850/   37905 | consumed samples:      5593600 | consumed tokens:  11455692800 | elapsed time per iteration (s): 0.24 | learning rate: 8.977E-06 | global batch size:   256 | lm loss: 3.422012E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.205 | TFLOPs: 27.54 |
7:  iteration    21860/   37905 | consumed samples:      5596160 | consumed tokens:  11460935680 | elapsed time per iteration (s): 0.24 | learning rate: 8.970E-06 | global batch size:   256 | lm loss: 3.418862E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.058 | TFLOPs: 27.62 |
7:  iteration    21870/   37905 | consumed samples:      5598720 | consumed tokens:  11466178560 | elapsed time per iteration (s): 0.23 | learning rate: 8.962E-06 | global batch size:   256 | lm loss: 3.417574E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.940 | TFLOPs: 27.79 |
7:  iteration    21880/   37905 | consumed samples:      5601280 | consumed tokens:  11471421440 | elapsed time per iteration (s): 0.25 | learning rate: 8.955E-06 | global batch size:   256 | lm loss: 3.375321E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.949 | TFLOPs: 26.52 |
7:  iteration    21890/   37905 | consumed samples:      5603840 | consumed tokens:  11476664320 | elapsed time per iteration (s): 0.23 | learning rate: 8.948E-06 | global batch size:   256 | lm loss: 3.365786E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.227 | TFLOPs: 28.54 |
7:  iteration    21900/   37905 | consumed samples:      5606400 | consumed tokens:  11481907200 | elapsed time per iteration (s): 0.24 | learning rate: 8.940E-06 | global batch size:   256 | lm loss: 3.419781E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.008 | TFLOPs: 26.90 |
7:  iteration    21910/   37905 | consumed samples:      5608960 | consumed tokens:  11487150080 | elapsed time per iteration (s): 0.24 | learning rate: 8.933E-06 | global batch size:   256 | lm loss: 3.404074E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.737 | TFLOPs: 27.53 |
7:  iteration    21920/   37905 | consumed samples:      5611520 | consumed tokens:  11492392960 | elapsed time per iteration (s): 0.28 | learning rate: 8.926E-06 | global batch size:   256 | lm loss: 3.368113E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.436 | TFLOPs: 23.14 |
7:  iteration    21930/   37905 | consumed samples:      5614080 | consumed tokens:  11497635840 | elapsed time per iteration (s): 0.24 | learning rate: 8.918E-06 | global batch size:   256 | lm loss: 3.367039E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1079.201 | TFLOPs: 27.49 |
7:  iteration    21940/   37905 | consumed samples:      5616640 | consumed tokens:  11502878720 | elapsed time per iteration (s): 0.24 | learning rate: 8.911E-06 | global batch size:   256 | lm loss: 3.423852E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1050.314 | TFLOPs: 26.76 |
7:  iteration    21950/   37905 | consumed samples:      5619200 | consumed tokens:  11508121600 | elapsed time per iteration (s): 0.23 | learning rate: 8.904E-06 | global batch size:   256 | lm loss: 3.430094E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.494 | TFLOPs: 28.29 |
7:  iteration    21960/   37905 | consumed samples:      5621760 | consumed tokens:  11513364480 | elapsed time per iteration (s): 0.25 | learning rate: 8.896E-06 | global batch size:   256 | lm loss: 3.417674E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.825 | TFLOPs: 25.80 |
7:  iteration    21970/   37905 | consumed samples:      5624320 | consumed tokens:  11518607360 | elapsed time per iteration (s): 0.26 | learning rate: 8.889E-06 | global batch size:   256 | lm loss: 3.402309E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.312 | TFLOPs: 24.97 |
7:  iteration    21980/   37905 | consumed samples:      5626880 | consumed tokens:  11523850240 | elapsed time per iteration (s): 0.23 | learning rate: 8.882E-06 | global batch size:   256 | lm loss: 3.378721E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.181 | TFLOPs: 28.56 |
7:  iteration    21990/   37905 | consumed samples:      5629440 | consumed tokens:  11529093120 | elapsed time per iteration (s): 0.25 | learning rate: 8.874E-06 | global batch size:   256 | lm loss: 3.432198E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.293 | TFLOPs: 25.79 |
0: [2022-11-28 16:49:07,449] [INFO] [logging.py:68:log_dist] [Rank 0] step=22000, skipped=0, lr=[8.86714956590028e-06, 8.86714956590028e-06, 8.86714956590028e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    22000/   37905 | consumed samples:      5632000 | consumed tokens:  11534336000 | elapsed time per iteration (s): 0.23 | learning rate: 8.867E-06 | global batch size:   256 | lm loss: 3.374959E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.144 | TFLOPs: 27.92 |
0: steps: 22000 loss: 3.3683 iter time (s): 0.256 samples/sec: 999.126
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 22000 | lm loss value: 3.249703E+00 | lm loss PPL: 2.578268E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   22000 to checkpoints_83slr
0: [2022-11-28 16:49:07,538] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step22000 is begin to save!
0: [2022-11-28 16:49:07,541] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 16:49:07,723] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 16:49:07,725] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step22000/mp_rank_00_model_states.pt
0: [2022-11-28 16:49:07,725] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/mp_rank_00_model_states.pt...
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0: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
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0: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
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1: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
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5: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
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7: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:49:07,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step22000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:49:07,762] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt.
4: [2022-11-28 16:49:07,762] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
4: [2022-11-28 16:49:07,762] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
0: [2022-11-28 16:49:07,762] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt.
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0: [2022-11-28 16:49:07,770] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt
0: [2022-11-28 16:49:07,770] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
0: [2022-11-28 16:49:07,770] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
6: [2022-11-28 16:49:07,770] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt.
6: [2022-11-28 16:49:07,770] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt
6: [2022-11-28 16:49:07,770] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
7: [2022-11-28 16:49:07,770] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:49:07,770] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
7: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
5: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:49:07,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
5: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
7: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:49:07,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
1: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:49:07,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt
2: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
7: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
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1: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
2: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt.
2: [2022-11-28 16:49:07,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
2: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
0: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:49:07,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
4: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
4: [2022-11-28 16:49:07,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
1: [2022-11-28 16:49:07,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:49:07,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
1: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
3: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt.
3: [2022-11-28 16:49:07,772] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
7: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:49:07,772] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
7: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
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6: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt.
5: [2022-11-28 16:49:07,772] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt
6: [2022-11-28 16:49:07,772] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt
5: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
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0: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt.
0: [2022-11-28 16:49:07,772] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
0: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
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2: [2022-11-28 16:49:07,772] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 16:49:07,772] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
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5: [2022-11-28 16:49:07,773] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt
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1: [2022-11-28 16:49:07,774] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
1: [2022-11-28 16:49:07,774] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
1: [2022-11-28 16:49:07,774] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
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3: [2022-11-28 16:49:07,775] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
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7: [2022-11-28 16:49:07,775] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
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4: [2022-11-28 16:49:07,776] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
4: [2022-11-28 16:49:07,776] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
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6: [2022-11-28 16:49:07,776] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step22000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt
6: [2022-11-28 16:49:07,776] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now!
0:   successfully saved checkpoint at iteration   22000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 241.40
7:  iteration    22010/   37905 | consumed samples:      5634560 | consumed tokens:  11539578880 | elapsed time per iteration (s): 0.28 | learning rate: 8.860E-06 | global batch size:   256 | lm loss: 3.392904E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.873 | TFLOPs: 23.69 |
7:  iteration    22020/   37905 | consumed samples:      5637120 | consumed tokens:  11544821760 | elapsed time per iteration (s): 0.24 | learning rate: 8.853E-06 | global batch size:   256 | lm loss: 3.387434E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.643 | TFLOPs: 27.71 |
7:  iteration    22030/   37905 | consumed samples:      5639680 | consumed tokens:  11550064640 | elapsed time per iteration (s): 0.28 | learning rate: 8.845E-06 | global batch size:   256 | lm loss: 3.397112E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.192 | TFLOPs: 23.54 |
7:  iteration    22040/   37905 | consumed samples:      5642240 | consumed tokens:  11555307520 | elapsed time per iteration (s): 0.25 | learning rate: 8.838E-06 | global batch size:   256 | lm loss: 3.345444E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.596 | TFLOPs: 25.80 |
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7:  iteration    22080/   37905 | consumed samples:      5652480 | consumed tokens:  11576279040 | elapsed time per iteration (s): 0.25 | learning rate: 8.809E-06 | global batch size:   256 | lm loss: 3.409163E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.448 | TFLOPs: 25.64 |
7:  iteration    22090/   37905 | consumed samples:      5655040 | consumed tokens:  11581521920 | elapsed time per iteration (s): 0.24 | learning rate: 8.801E-06 | global batch size:   256 | lm loss: 3.413630E+00 | grad norm: 0.573 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.712 | TFLOPs: 27.02 |
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7:  iteration    22120/   37905 | consumed samples:      5662720 | consumed tokens:  11597250560 | elapsed time per iteration (s): 0.23 | learning rate: 8.779E-06 | global batch size:   256 | lm loss: 3.395385E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.083 | TFLOPs: 28.48 |
7:  iteration    22130/   37905 | consumed samples:      5665280 | consumed tokens:  11602493440 | elapsed time per iteration (s): 0.27 | learning rate: 8.772E-06 | global batch size:   256 | lm loss: 3.412428E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.474 | TFLOPs: 24.19 |
7:  iteration    22140/   37905 | consumed samples:      5667840 | consumed tokens:  11607736320 | elapsed time per iteration (s): 0.25 | learning rate: 8.765E-06 | global batch size:   256 | lm loss: 3.345551E+00 | grad norm: 0.638 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.796 | TFLOPs: 26.18 |
7:  iteration    22150/   37905 | consumed samples:      5670400 | consumed tokens:  11612979200 | elapsed time per iteration (s): 0.24 | learning rate: 8.758E-06 | global batch size:   256 | lm loss: 3.379363E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.852 | TFLOPs: 26.69 |
7:  iteration    22160/   37905 | consumed samples:      5672960 | consumed tokens:  11618222080 | elapsed time per iteration (s): 0.23 | learning rate: 8.750E-06 | global batch size:   256 | lm loss: 3.421324E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.906 | TFLOPs: 28.33 |
7:  iteration    22170/   37905 | consumed samples:      5675520 | consumed tokens:  11623464960 | elapsed time per iteration (s): 0.24 | learning rate: 8.743E-06 | global batch size:   256 | lm loss: 3.363065E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.724 | TFLOPs: 27.68 |
7:  iteration    22180/   37905 | consumed samples:      5678080 | consumed tokens:  11628707840 | elapsed time per iteration (s): 0.24 | learning rate: 8.736E-06 | global batch size:   256 | lm loss: 3.408289E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.177 | TFLOPs: 26.70 |
7:  iteration    22190/   37905 | consumed samples:      5680640 | consumed tokens:  11633950720 | elapsed time per iteration (s): 0.24 | learning rate: 8.728E-06 | global batch size:   256 | lm loss: 3.414454E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.391 | TFLOPs: 27.60 |
7:  iteration    22200/   37905 | consumed samples:      5683200 | consumed tokens:  11639193600 | elapsed time per iteration (s): 0.24 | learning rate: 8.721E-06 | global batch size:   256 | lm loss: 3.389520E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.225 | TFLOPs: 26.93 |
7:  iteration    22210/   37905 | consumed samples:      5685760 | consumed tokens:  11644436480 | elapsed time per iteration (s): 0.24 | learning rate: 8.714E-06 | global batch size:   256 | lm loss: 3.408043E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1073.613 | TFLOPs: 27.35 |
7:  iteration    22220/   37905 | consumed samples:      5688320 | consumed tokens:  11649679360 | elapsed time per iteration (s): 0.27 | learning rate: 8.706E-06 | global batch size:   256 | lm loss: 3.388005E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.348 | TFLOPs: 23.83 |
7:  iteration    22230/   37905 | consumed samples:      5690880 | consumed tokens:  11654922240 | elapsed time per iteration (s): 0.24 | learning rate: 8.699E-06 | global batch size:   256 | lm loss: 3.422745E+00 | grad norm: 0.698 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.930 | TFLOPs: 27.59 |
7:  iteration    22240/   37905 | consumed samples:      5693440 | consumed tokens:  11660165120 | elapsed time per iteration (s): 0.24 | learning rate: 8.692E-06 | global batch size:   256 | lm loss: 3.416542E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.657 | TFLOPs: 26.71 |
7:  iteration    22250/   37905 | consumed samples:      5696000 | consumed tokens:  11665408000 | elapsed time per iteration (s): 0.26 | learning rate: 8.685E-06 | global batch size:   256 | lm loss: 3.343370E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.233 | TFLOPs: 25.00 |
7:  iteration    22260/   37905 | consumed samples:      5698560 | consumed tokens:  11670650880 | elapsed time per iteration (s): 0.27 | learning rate: 8.677E-06 | global batch size:   256 | lm loss: 3.394427E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.937 | TFLOPs: 24.35 |
7:  iteration    22270/   37905 | consumed samples:      5701120 | consumed tokens:  11675893760 | elapsed time per iteration (s): 0.25 | learning rate: 8.670E-06 | global batch size:   256 | lm loss: 3.421290E+00 | grad norm: 0.734 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.060 | TFLOPs: 26.50 |
7:  iteration    22280/   37905 | consumed samples:      5703680 | consumed tokens:  11681136640 | elapsed time per iteration (s): 0.29 | learning rate: 8.663E-06 | global batch size:   256 | lm loss: 3.408144E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 890.016 | TFLOPs: 22.67 |
7:  iteration    22290/   37905 | consumed samples:      5706240 | consumed tokens:  11686379520 | elapsed time per iteration (s): 0.23 | learning rate: 8.656E-06 | global batch size:   256 | lm loss: 3.451959E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.154 | TFLOPs: 28.33 |
7:  iteration    22300/   37905 | consumed samples:      5708800 | consumed tokens:  11691622400 | elapsed time per iteration (s): 0.23 | learning rate: 8.648E-06 | global batch size:   256 | lm loss: 3.372918E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.741 | TFLOPs: 28.14 |
7:  iteration    22310/   37905 | consumed samples:      5711360 | consumed tokens:  11696865280 | elapsed time per iteration (s): 0.26 | learning rate: 8.641E-06 | global batch size:   256 | lm loss: 3.390841E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.510 | TFLOPs: 25.21 |
7:  iteration    22320/   37905 | consumed samples:      5713920 | consumed tokens:  11702108160 | elapsed time per iteration (s): 0.23 | learning rate: 8.634E-06 | global batch size:   256 | lm loss: 3.362857E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.093 | TFLOPs: 27.77 |
7:  iteration    22330/   37905 | consumed samples:      5716480 | consumed tokens:  11707351040 | elapsed time per iteration (s): 0.25 | learning rate: 8.626E-06 | global batch size:   256 | lm loss: 3.390088E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.158 | TFLOPs: 25.78 |
7:  iteration    22340/   37905 | consumed samples:      5719040 | consumed tokens:  11712593920 | elapsed time per iteration (s): 0.25 | learning rate: 8.619E-06 | global batch size:   256 | lm loss: 3.369131E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.163 | TFLOPs: 26.55 |
7:  iteration    22350/   37905 | consumed samples:      5721600 | consumed tokens:  11717836800 | elapsed time per iteration (s): 0.24 | learning rate: 8.612E-06 | global batch size:   256 | lm loss: 3.341537E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.162 | TFLOPs: 27.72 |
7:  iteration    22360/   37905 | consumed samples:      5724160 | consumed tokens:  11723079680 | elapsed time per iteration (s): 0.23 | learning rate: 8.605E-06 | global batch size:   256 | lm loss: 3.398685E+00 | grad norm: 0.598 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.453 | TFLOPs: 28.44 |
7:  iteration    22370/   37905 | consumed samples:      5726720 | consumed tokens:  11728322560 | elapsed time per iteration (s): 0.23 | learning rate: 8.597E-06 | global batch size:   256 | lm loss: 3.369371E+00 | grad norm: 0.609 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.820 | TFLOPs: 28.40 |
7:  iteration    22380/   37905 | consumed samples:      5729280 | consumed tokens:  11733565440 | elapsed time per iteration (s): 0.25 | learning rate: 8.590E-06 | global batch size:   256 | lm loss: 3.369696E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.295 | TFLOPs: 25.64 |
7:  iteration    22390/   37905 | consumed samples:      5731840 | consumed tokens:  11738808320 | elapsed time per iteration (s): 0.24 | learning rate: 8.583E-06 | global batch size:   256 | lm loss: 3.320545E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.480 | TFLOPs: 26.91 |
7:  iteration    22400/   37905 | consumed samples:      5734400 | consumed tokens:  11744051200 | elapsed time per iteration (s): 0.23 | learning rate: 8.576E-06 | global batch size:   256 | lm loss: 3.371655E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.060 | TFLOPs: 28.00 |
7:  iteration    22410/   37905 | consumed samples:      5736960 | consumed tokens:  11749294080 | elapsed time per iteration (s): 0.24 | learning rate: 8.568E-06 | global batch size:   256 | lm loss: 3.373928E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.807 | TFLOPs: 27.64 |
7:  iteration    22420/   37905 | consumed samples:      5739520 | consumed tokens:  11754536960 | elapsed time per iteration (s): 0.23 | learning rate: 8.561E-06 | global batch size:   256 | lm loss: 3.357379E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.036 | TFLOPs: 27.77 |
7:  iteration    22430/   37905 | consumed samples:      5742080 | consumed tokens:  11759779840 | elapsed time per iteration (s): 0.25 | learning rate: 8.554E-06 | global batch size:   256 | lm loss: 3.347793E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.059 | TFLOPs: 26.47 |
7:  iteration    22440/   37905 | consumed samples:      5744640 | consumed tokens:  11765022720 | elapsed time per iteration (s): 0.23 | learning rate: 8.547E-06 | global batch size:   256 | lm loss: 3.385555E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.575 | TFLOPs: 28.39 |
7:  iteration    22450/   37905 | consumed samples:      5747200 | consumed tokens:  11770265600 | elapsed time per iteration (s): 0.26 | learning rate: 8.539E-06 | global batch size:   256 | lm loss: 3.398663E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.112 | TFLOPs: 25.40 |
7:  iteration    22460/   37905 | consumed samples:      5749760 | consumed tokens:  11775508480 | elapsed time per iteration (s): 0.23 | learning rate: 8.532E-06 | global batch size:   256 | lm loss: 3.406627E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.536 | TFLOPs: 28.29 |
7:  iteration    22470/   37905 | consumed samples:      5752320 | consumed tokens:  11780751360 | elapsed time per iteration (s): 0.24 | learning rate: 8.525E-06 | global batch size:   256 | lm loss: 3.402517E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.759 | TFLOPs: 26.84 |
7:  iteration    22480/   37905 | consumed samples:      5754880 | consumed tokens:  11785994240 | elapsed time per iteration (s): 0.24 | learning rate: 8.518E-06 | global batch size:   256 | lm loss: 3.364034E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.904 | TFLOPs: 26.70 |
7:  iteration    22490/   37905 | consumed samples:      5757440 | consumed tokens:  11791237120 | elapsed time per iteration (s): 0.26 | learning rate: 8.510E-06 | global batch size:   256 | lm loss: 3.351477E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.992 | TFLOPs: 25.17 |
7:  iteration    22500/   37905 | consumed samples:      5760000 | consumed tokens:  11796480000 | elapsed time per iteration (s): 0.23 | learning rate: 8.503E-06 | global batch size:   256 | lm loss: 3.387194E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.994 | TFLOPs: 28.61 |
7:  iteration    22510/   37905 | consumed samples:      5762560 | consumed tokens:  11801722880 | elapsed time per iteration (s): 0.24 | learning rate: 8.496E-06 | global batch size:   256 | lm loss: 3.402948E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.255 | TFLOPs: 27.06 |
7:  iteration    22520/   37905 | consumed samples:      5765120 | consumed tokens:  11806965760 | elapsed time per iteration (s): 0.24 | learning rate: 8.489E-06 | global batch size:   256 | lm loss: 3.394156E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.874 | TFLOPs: 27.54 |
7:  iteration    22530/   37905 | consumed samples:      5767680 | consumed tokens:  11812208640 | elapsed time per iteration (s): 0.23 | learning rate: 8.481E-06 | global batch size:   256 | lm loss: 3.406391E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.744 | TFLOPs: 28.30 |
7:  iteration    22540/   37905 | consumed samples:      5770240 | consumed tokens:  11817451520 | elapsed time per iteration (s): 0.26 | learning rate: 8.474E-06 | global batch size:   256 | lm loss: 3.390159E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.578 | TFLOPs: 25.44 |
7:  iteration    22550/   37905 | consumed samples:      5772800 | consumed tokens:  11822694400 | elapsed time per iteration (s): 0.24 | learning rate: 8.467E-06 | global batch size:   256 | lm loss: 3.420049E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.432 | TFLOPs: 26.84 |
7:  iteration    22560/   37905 | consumed samples:      5775360 | consumed tokens:  11827937280 | elapsed time per iteration (s): 0.25 | learning rate: 8.460E-06 | global batch size:   256 | lm loss: 3.372908E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.552 | TFLOPs: 25.67 |
7:  iteration    22570/   37905 | consumed samples:      5777920 | consumed tokens:  11833180160 | elapsed time per iteration (s): 0.24 | learning rate: 8.452E-06 | global batch size:   256 | lm loss: 3.375777E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.488 | TFLOPs: 27.22 |
7:  iteration    22580/   37905 | consumed samples:      5780480 | consumed tokens:  11838423040 | elapsed time per iteration (s): 0.27 | learning rate: 8.445E-06 | global batch size:   256 | lm loss: 3.360611E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.684 | TFLOPs: 23.84 |
7:  iteration    22590/   37905 | consumed samples:      5783040 | consumed tokens:  11843665920 | elapsed time per iteration (s): 0.23 | learning rate: 8.438E-06 | global batch size:   256 | lm loss: 3.380582E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.768 | TFLOPs: 28.04 |
7:  iteration    22600/   37905 | consumed samples:      5785600 | consumed tokens:  11848908800 | elapsed time per iteration (s): 0.24 | learning rate: 8.431E-06 | global batch size:   256 | lm loss: 3.384929E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.476 | TFLOPs: 27.30 |
7:  iteration    22610/   37905 | consumed samples:      5788160 | consumed tokens:  11854151680 | elapsed time per iteration (s): 0.24 | learning rate: 8.424E-06 | global batch size:   256 | lm loss: 3.370993E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1069.053 | TFLOPs: 27.23 |
7:  iteration    22620/   37905 | consumed samples:      5790720 | consumed tokens:  11859394560 | elapsed time per iteration (s): 0.25 | learning rate: 8.416E-06 | global batch size:   256 | lm loss: 3.380479E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.939 | TFLOPs: 25.83 |
7:  iteration    22630/   37905 | consumed samples:      5793280 | consumed tokens:  11864637440 | elapsed time per iteration (s): 0.26 | learning rate: 8.409E-06 | global batch size:   256 | lm loss: 3.415966E+00 | grad norm: 0.780 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 981.512 | TFLOPs: 25.00 |
7:  iteration    22640/   37905 | consumed samples:      5795840 | consumed tokens:  11869880320 | elapsed time per iteration (s): 0.23 | learning rate: 8.402E-06 | global batch size:   256 | lm loss: 3.363763E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.474 | TFLOPs: 28.72 |
7:  iteration    22650/   37905 | consumed samples:      5798400 | consumed tokens:  11875123200 | elapsed time per iteration (s): 0.23 | learning rate: 8.395E-06 | global batch size:   256 | lm loss: 3.387062E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.760 | TFLOPs: 28.65 |
7:  iteration    22660/   37905 | consumed samples:      5800960 | consumed tokens:  11880366080 | elapsed time per iteration (s): 0.26 | learning rate: 8.388E-06 | global batch size:   256 | lm loss: 3.378711E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.113 | TFLOPs: 25.22 |
7:  iteration    22670/   37905 | consumed samples:      5803520 | consumed tokens:  11885608960 | elapsed time per iteration (s): 0.24 | learning rate: 8.380E-06 | global batch size:   256 | lm loss: 3.366390E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.498 | TFLOPs: 26.63 |
7:  iteration    22680/   37905 | consumed samples:      5806080 | consumed tokens:  11890851840 | elapsed time per iteration (s): 0.26 | learning rate: 8.373E-06 | global batch size:   256 | lm loss: 3.390411E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.893 | TFLOPs: 25.40 |
7:  iteration    22690/   37905 | consumed samples:      5808640 | consumed tokens:  11896094720 | elapsed time per iteration (s): 0.25 | learning rate: 8.366E-06 | global batch size:   256 | lm loss: 3.419164E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.983 | TFLOPs: 26.06 |
7:  iteration    22700/   37905 | consumed samples:      5811200 | consumed tokens:  11901337600 | elapsed time per iteration (s): 0.23 | learning rate: 8.359E-06 | global batch size:   256 | lm loss: 3.377419E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.244 | TFLOPs: 28.64 |
7:  iteration    22710/   37905 | consumed samples:      5813760 | consumed tokens:  11906580480 | elapsed time per iteration (s): 0.26 | learning rate: 8.352E-06 | global batch size:   256 | lm loss: 3.422993E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.758 | TFLOPs: 25.32 |
7:  iteration    22720/   37905 | consumed samples:      5816320 | consumed tokens:  11911823360 | elapsed time per iteration (s): 0.23 | learning rate: 8.344E-06 | global batch size:   256 | lm loss: 3.369251E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.201 | TFLOPs: 28.66 |
7:  iteration    22730/   37905 | consumed samples:      5818880 | consumed tokens:  11917066240 | elapsed time per iteration (s): 0.25 | learning rate: 8.337E-06 | global batch size:   256 | lm loss: 3.354745E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.755 | TFLOPs: 26.54 |
7:  iteration    22740/   37905 | consumed samples:      5821440 | consumed tokens:  11922309120 | elapsed time per iteration (s): 0.24 | learning rate: 8.330E-06 | global batch size:   256 | lm loss: 3.362819E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.210 | TFLOPs: 26.96 |
7:  iteration    22750/   37905 | consumed samples:      5824000 | consumed tokens:  11927552000 | elapsed time per iteration (s): 0.23 | learning rate: 8.323E-06 | global batch size:   256 | lm loss: 3.347058E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.005 | TFLOPs: 27.92 |
7:  iteration    22760/   37905 | consumed samples:      5826560 | consumed tokens:  11932794880 | elapsed time per iteration (s): 0.25 | learning rate: 8.316E-06 | global batch size:   256 | lm loss: 3.425812E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.738 | TFLOPs: 26.18 |
7:  iteration    22770/   37905 | consumed samples:      5829120 | consumed tokens:  11938037760 | elapsed time per iteration (s): 0.25 | learning rate: 8.308E-06 | global batch size:   256 | lm loss: 3.387724E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.345 | TFLOPs: 26.55 |
7:  iteration    22780/   37905 | consumed samples:      5831680 | consumed tokens:  11943280640 | elapsed time per iteration (s): 0.23 | learning rate: 8.301E-06 | global batch size:   256 | lm loss: 3.401486E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.304 | TFLOPs: 28.62 |
7:  iteration    22790/   37905 | consumed samples:      5834240 | consumed tokens:  11948523520 | elapsed time per iteration (s): 0.24 | learning rate: 8.294E-06 | global batch size:   256 | lm loss: 3.413906E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.476 | TFLOPs: 26.79 |
7:  iteration    22800/   37905 | consumed samples:      5836800 | consumed tokens:  11953766400 | elapsed time per iteration (s): 0.23 | learning rate: 8.287E-06 | global batch size:   256 | lm loss: 3.380519E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.998 | TFLOPs: 27.82 |
7:  iteration    22810/   37905 | consumed samples:      5839360 | consumed tokens:  11959009280 | elapsed time per iteration (s): 0.24 | learning rate: 8.280E-06 | global batch size:   256 | lm loss: 3.379089E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.155 | TFLOPs: 27.59 |
7:  iteration    22820/   37905 | consumed samples:      5841920 | consumed tokens:  11964252160 | elapsed time per iteration (s): 0.24 | learning rate: 8.272E-06 | global batch size:   256 | lm loss: 3.388261E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.829 | TFLOPs: 27.08 |
7:  iteration    22830/   37905 | consumed samples:      5844480 | consumed tokens:  11969495040 | elapsed time per iteration (s): 0.23 | learning rate: 8.265E-06 | global batch size:   256 | lm loss: 3.392043E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.601 | TFLOPs: 28.32 |
7:  iteration    22840/   37905 | consumed samples:      5847040 | consumed tokens:  11974737920 | elapsed time per iteration (s): 0.24 | learning rate: 8.258E-06 | global batch size:   256 | lm loss: 3.365881E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.489 | TFLOPs: 27.37 |
7:  iteration    22850/   37905 | consumed samples:      5849600 | consumed tokens:  11979980800 | elapsed time per iteration (s): 0.24 | learning rate: 8.251E-06 | global batch size:   256 | lm loss: 3.391424E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.729 | TFLOPs: 27.07 |
7:  iteration    22860/   37905 | consumed samples:      5852160 | consumed tokens:  11985223680 | elapsed time per iteration (s): 0.24 | learning rate: 8.244E-06 | global batch size:   256 | lm loss: 3.355319E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1078.769 | TFLOPs: 27.48 |
7:  iteration    22870/   37905 | consumed samples:      5854720 | consumed tokens:  11990466560 | elapsed time per iteration (s): 0.24 | learning rate: 8.237E-06 | global batch size:   256 | lm loss: 3.396658E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.058 | TFLOPs: 26.72 |
7:  iteration    22880/   37905 | consumed samples:      5857280 | consumed tokens:  11995709440 | elapsed time per iteration (s): 0.23 | learning rate: 8.229E-06 | global batch size:   256 | lm loss: 3.409258E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.649 | TFLOPs: 28.12 |
7:  iteration    22890/   37905 | consumed samples:      5859840 | consumed tokens:  12000952320 | elapsed time per iteration (s): 0.23 | learning rate: 8.222E-06 | global batch size:   256 | lm loss: 3.376188E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.149 | TFLOPs: 28.38 |
7:  iteration    22900/   37905 | consumed samples:      5862400 | consumed tokens:  12006195200 | elapsed time per iteration (s): 0.25 | learning rate: 8.215E-06 | global batch size:   256 | lm loss: 3.410857E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.371 | TFLOPs: 26.43 |
7:  iteration    22910/   37905 | consumed samples:      5864960 | consumed tokens:  12011438080 | elapsed time per iteration (s): 0.23 | learning rate: 8.208E-06 | global batch size:   256 | lm loss: 3.375823E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.177 | TFLOPs: 28.51 |
7:  iteration    22920/   37905 | consumed samples:      5867520 | consumed tokens:  12016680960 | elapsed time per iteration (s): 0.24 | learning rate: 8.201E-06 | global batch size:   256 | lm loss: 3.379905E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.251 | TFLOPs: 27.19 |
7:  iteration    22930/   37905 | consumed samples:      5870080 | consumed tokens:  12021923840 | elapsed time per iteration (s): 0.24 | learning rate: 8.194E-06 | global batch size:   256 | lm loss: 3.376591E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.955 | TFLOPs: 26.62 |
7:  iteration    22940/   37905 | consumed samples:      5872640 | consumed tokens:  12027166720 | elapsed time per iteration (s): 0.24 | learning rate: 8.186E-06 | global batch size:   256 | lm loss: 3.330745E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.847 | TFLOPs: 27.23 |
7:  iteration    22950/   37905 | consumed samples:      5875200 | consumed tokens:  12032409600 | elapsed time per iteration (s): 0.25 | learning rate: 8.179E-06 | global batch size:   256 | lm loss: 3.377508E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.630 | TFLOPs: 26.15 |
7:  iteration    22960/   37905 | consumed samples:      5877760 | consumed tokens:  12037652480 | elapsed time per iteration (s): 0.23 | learning rate: 8.172E-06 | global batch size:   256 | lm loss: 3.392366E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.516 | TFLOPs: 27.96 |
7:  iteration    22970/   37905 | consumed samples:      5880320 | consumed tokens:  12042895360 | elapsed time per iteration (s): 0.25 | learning rate: 8.165E-06 | global batch size:   256 | lm loss: 3.357721E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.375 | TFLOPs: 26.30 |
7:  iteration    22980/   37905 | consumed samples:      5882880 | consumed tokens:  12048138240 | elapsed time per iteration (s): 0.23 | learning rate: 8.158E-06 | global batch size:   256 | lm loss: 3.360299E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.835 | TFLOPs: 28.25 |
7:  iteration    22990/   37905 | consumed samples:      5885440 | consumed tokens:  12053381120 | elapsed time per iteration (s): 0.24 | learning rate: 8.151E-06 | global batch size:   256 | lm loss: 3.371997E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.957 | TFLOPs: 27.21 |
7:  iteration    23000/   37905 | consumed samples:      5888000 | consumed tokens:  12058624000 | elapsed time per iteration (s): 0.24 | learning rate: 8.143E-06 | global batch size:   256 | lm loss: 3.377145E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.624 | TFLOPs: 27.53 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 23000 | lm loss value: 3.255590E+00 | lm loss PPL: 2.593492E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   23000 to checkpoints_83slr
0: [2022-11-28 16:53:10,687] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step23000 is begin to save!
0: [2022-11-28 16:53:10,690] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:53:10,761] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_01-model_00-model_states.pt.
0: [2022-11-28 16:53:10,761] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_03-model_00-model_states.pt...
0: [2022-11-28 16:53:10,772] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_03-model_00-model_states.pt.
0: [2022-11-28 16:53:10,773] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_04-model_00-model_states.pt...
0: [2022-11-28 16:53:10,783] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_04-model_00-model_states.pt.
0: [2022-11-28 16:53:10,784] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_05-model_00-model_states.pt...
0: [2022-11-28 16:53:10,795] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_05-model_00-model_states.pt.
0: [2022-11-28 16:53:10,795] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_06-model_00-model_states.pt...
0: [2022-11-28 16:53:10,806] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_06-model_00-model_states.pt.
0: [2022-11-28 16:53:10,806] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_07-model_00-model_states.pt...
0: [2022-11-28 16:53:10,817] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_07-model_00-model_states.pt.
0: [2022-11-28 16:53:10,817] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_08-model_00-model_states.pt...
0: [2022-11-28 16:53:10,828] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_08-model_00-model_states.pt.
0: [2022-11-28 16:53:10,829] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_09-model_00-model_states.pt...
0: [2022-11-28 16:53:10,840] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_09-model_00-model_states.pt.
0: [2022-11-28 16:53:10,840] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_10-model_00-model_states.pt...
0: [2022-11-28 16:53:10,851] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_10-model_00-model_states.pt.
0: [2022-11-28 16:53:10,851] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_11-model_00-model_states.pt...
0: [2022-11-28 16:53:10,862] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_11-model_00-model_states.pt.
0: [2022-11-28 16:53:10,862] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_12-model_00-model_states.pt...
0: [2022-11-28 16:53:10,873] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_12-model_00-model_states.pt.
0: [2022-11-28 16:53:10,874] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/layer_14-model_00-model_states.pt...
0: [2022-11-28 16:53:10,875] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/layer_14-model_00-model_states.pt.
0: [2022-11-28 16:53:10,875] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step23000/mp_rank_00_model_states.pt
0: [2022-11-28 16:53:10,875] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/mp_rank_00_model_states.pt...
0: [2022-11-28 16:53:10,877] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/mp_rank_00_model_states.pt.
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt...
5: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt...
5: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt...
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6: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
4: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
3: [2022-11-28 16:53:10,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step23000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt...
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7: [2022-11-28 16:53:10,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step23000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
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7: [2022-11-28 16:53:10,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:53:10,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23000 is ready now!
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7: [2022-11-28 16:53:10,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step23000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt.
7: [2022-11-28 16:53:10,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23000 is ready now!
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7: [2022-11-28 16:53:10,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step23000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt
7: [2022-11-28 16:53:10,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23000 is ready now!
7: [2022-11-28 16:53:10,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23000 is ready now!
0:   successfully saved checkpoint at iteration   23000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 260.85
7:  iteration    23010/   37905 | consumed samples:      5890560 | consumed tokens:  12063866880 | elapsed time per iteration (s): 0.26 | learning rate: 8.136E-06 | global batch size:   256 | lm loss: 3.392656E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.586 | TFLOPs: 24.67 |
7:  iteration    23020/   37905 | consumed samples:      5893120 | consumed tokens:  12069109760 | elapsed time per iteration (s): 0.25 | learning rate: 8.129E-06 | global batch size:   256 | lm loss: 3.373964E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.131 | TFLOPs: 26.29 |
7:  iteration    23030/   37905 | consumed samples:      5895680 | consumed tokens:  12074352640 | elapsed time per iteration (s): 0.23 | learning rate: 8.122E-06 | global batch size:   256 | lm loss: 3.370918E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.687 | TFLOPs: 28.70 |
7:  iteration    23040/   37905 | consumed samples:      5898240 | consumed tokens:  12079595520 | elapsed time per iteration (s): 0.23 | learning rate: 8.115E-06 | global batch size:   256 | lm loss: 3.376145E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.555 | TFLOPs: 27.96 |
7:  iteration    23050/   37905 | consumed samples:      5900800 | consumed tokens:  12084838400 | elapsed time per iteration (s): 0.25 | learning rate: 8.108E-06 | global batch size:   256 | lm loss: 3.348440E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.398 | TFLOPs: 26.20 |
7:  iteration    23060/   37905 | consumed samples:      5903360 | consumed tokens:  12090081280 | elapsed time per iteration (s): 0.24 | learning rate: 8.101E-06 | global batch size:   256 | lm loss: 3.404951E+00 | grad norm: 0.644 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.878 | TFLOPs: 27.18 |
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7:  iteration    23080/   37905 | consumed samples:      5908480 | consumed tokens:  12100567040 | elapsed time per iteration (s): 0.23 | learning rate: 8.086E-06 | global batch size:   256 | lm loss: 3.406782E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.728 | TFLOPs: 28.07 |
7:  iteration    23090/   37905 | consumed samples:      5911040 | consumed tokens:  12105809920 | elapsed time per iteration (s): 0.24 | learning rate: 8.079E-06 | global batch size:   256 | lm loss: 3.352032E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.228 | TFLOPs: 27.06 |
7:  iteration    23100/   37905 | consumed samples:      5913600 | consumed tokens:  12111052800 | elapsed time per iteration (s): 0.23 | learning rate: 8.072E-06 | global batch size:   256 | lm loss: 3.371063E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.059 | TFLOPs: 28.38 |
7:  iteration    23110/   37905 | consumed samples:      5916160 | consumed tokens:  12116295680 | elapsed time per iteration (s): 0.23 | learning rate: 8.065E-06 | global batch size:   256 | lm loss: 3.362750E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.109 | TFLOPs: 28.43 |
7:  iteration    23120/   37905 | consumed samples:      5918720 | consumed tokens:  12121538560 | elapsed time per iteration (s): 0.23 | learning rate: 8.058E-06 | global batch size:   256 | lm loss: 3.347773E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.946 | TFLOPs: 28.58 |
7:  iteration    23130/   37905 | consumed samples:      5921280 | consumed tokens:  12126781440 | elapsed time per iteration (s): 0.24 | learning rate: 8.051E-06 | global batch size:   256 | lm loss: 3.432921E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.948 | TFLOPs: 26.62 |
7:  iteration    23140/   37905 | consumed samples:      5923840 | consumed tokens:  12132024320 | elapsed time per iteration (s): 0.23 | learning rate: 8.044E-06 | global batch size:   256 | lm loss: 3.366158E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.706 | TFLOPs: 28.47 |
7:  iteration    23150/   37905 | consumed samples:      5926400 | consumed tokens:  12137267200 | elapsed time per iteration (s): 0.25 | learning rate: 8.037E-06 | global batch size:   256 | lm loss: 3.347313E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.554 | TFLOPs: 26.61 |
7:  iteration    23160/   37905 | consumed samples:      5928960 | consumed tokens:  12142510080 | elapsed time per iteration (s): 0.24 | learning rate: 8.029E-06 | global batch size:   256 | lm loss: 3.340430E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.787 | TFLOPs: 27.43 |
7:  iteration    23170/   37905 | consumed samples:      5931520 | consumed tokens:  12147752960 | elapsed time per iteration (s): 0.24 | learning rate: 8.022E-06 | global batch size:   256 | lm loss: 3.400302E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.252 | TFLOPs: 26.78 |
7:  iteration    23180/   37905 | consumed samples:      5934080 | consumed tokens:  12152995840 | elapsed time per iteration (s): 0.25 | learning rate: 8.015E-06 | global batch size:   256 | lm loss: 3.384695E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.872 | TFLOPs: 26.54 |
7:  iteration    23190/   37905 | consumed samples:      5936640 | consumed tokens:  12158238720 | elapsed time per iteration (s): 0.24 | learning rate: 8.008E-06 | global batch size:   256 | lm loss: 3.400916E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.068 | TFLOPs: 26.70 |
7:  iteration    23200/   37905 | consumed samples:      5939200 | consumed tokens:  12163481600 | elapsed time per iteration (s): 0.23 | learning rate: 8.001E-06 | global batch size:   256 | lm loss: 3.382718E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.375 | TFLOPs: 28.03 |
7:  iteration    23210/   37905 | consumed samples:      5941760 | consumed tokens:  12168724480 | elapsed time per iteration (s): 0.23 | learning rate: 7.994E-06 | global batch size:   256 | lm loss: 3.358339E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.125 | TFLOPs: 27.90 |
7:  iteration    23220/   37905 | consumed samples:      5944320 | consumed tokens:  12173967360 | elapsed time per iteration (s): 0.24 | learning rate: 7.987E-06 | global batch size:   256 | lm loss: 3.382689E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.858 | TFLOPs: 26.87 |
7:  iteration    23230/   37905 | consumed samples:      5946880 | consumed tokens:  12179210240 | elapsed time per iteration (s): 0.24 | learning rate: 7.980E-06 | global batch size:   256 | lm loss: 3.368393E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.931 | TFLOPs: 26.80 |
7:  iteration    23240/   37905 | consumed samples:      5949440 | consumed tokens:  12184453120 | elapsed time per iteration (s): 0.25 | learning rate: 7.973E-06 | global batch size:   256 | lm loss: 3.374923E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.230 | TFLOPs: 26.17 |
7:  iteration    23250/   37905 | consumed samples:      5952000 | consumed tokens:  12189696000 | elapsed time per iteration (s): 0.25 | learning rate: 7.965E-06 | global batch size:   256 | lm loss: 3.412677E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.145 | TFLOPs: 26.17 |
7:  iteration    23260/   37905 | consumed samples:      5954560 | consumed tokens:  12194938880 | elapsed time per iteration (s): 0.23 | learning rate: 7.958E-06 | global batch size:   256 | lm loss: 3.359272E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.962 | TFLOPs: 27.77 |
7:  iteration    23270/   37905 | consumed samples:      5957120 | consumed tokens:  12200181760 | elapsed time per iteration (s): 0.25 | learning rate: 7.951E-06 | global batch size:   256 | lm loss: 3.394932E+00 | grad norm: 0.627 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.648 | TFLOPs: 25.75 |
7:  iteration    23280/   37905 | consumed samples:      5959680 | consumed tokens:  12205424640 | elapsed time per iteration (s): 0.23 | learning rate: 7.944E-06 | global batch size:   256 | lm loss: 3.376970E+00 | grad norm: 0.656 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.026 | TFLOPs: 28.61 |
7:  iteration    23290/   37905 | consumed samples:      5962240 | consumed tokens:  12210667520 | elapsed time per iteration (s): 0.24 | learning rate: 7.937E-06 | global batch size:   256 | lm loss: 3.367447E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.757 | TFLOPs: 27.20 |
7:  iteration    23300/   37905 | consumed samples:      5964800 | consumed tokens:  12215910400 | elapsed time per iteration (s): 0.26 | learning rate: 7.930E-06 | global batch size:   256 | lm loss: 3.405803E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.760 | TFLOPs: 25.32 |
7:  iteration    23310/   37905 | consumed samples:      5967360 | consumed tokens:  12221153280 | elapsed time per iteration (s): 0.25 | learning rate: 7.923E-06 | global batch size:   256 | lm loss: 3.378752E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.546 | TFLOPs: 26.56 |
7:  iteration    23320/   37905 | consumed samples:      5969920 | consumed tokens:  12226396160 | elapsed time per iteration (s): 0.23 | learning rate: 7.916E-06 | global batch size:   256 | lm loss: 3.397408E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.441 | TFLOPs: 28.39 |
7:  iteration    23330/   37905 | consumed samples:      5972480 | consumed tokens:  12231639040 | elapsed time per iteration (s): 0.23 | learning rate: 7.909E-06 | global batch size:   256 | lm loss: 3.367854E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.726 | TFLOPs: 28.50 |
7:  iteration    23340/   37905 | consumed samples:      5975040 | consumed tokens:  12236881920 | elapsed time per iteration (s): 0.23 | learning rate: 7.902E-06 | global batch size:   256 | lm loss: 3.396650E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.074 | TFLOPs: 28.20 |
7:  iteration    23350/   37905 | consumed samples:      5977600 | consumed tokens:  12242124800 | elapsed time per iteration (s): 0.23 | learning rate: 7.895E-06 | global batch size:   256 | lm loss: 3.389080E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.938 | TFLOPs: 28.02 |
7:  iteration    23360/   37905 | consumed samples:      5980160 | consumed tokens:  12247367680 | elapsed time per iteration (s): 0.25 | learning rate: 7.888E-06 | global batch size:   256 | lm loss: 3.392091E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.104 | TFLOPs: 26.34 |
7:  iteration    23370/   37905 | consumed samples:      5982720 | consumed tokens:  12252610560 | elapsed time per iteration (s): 0.23 | learning rate: 7.881E-06 | global batch size:   256 | lm loss: 3.373998E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.596 | TFLOPs: 28.47 |
7:  iteration    23380/   37905 | consumed samples:      5985280 | consumed tokens:  12257853440 | elapsed time per iteration (s): 0.23 | learning rate: 7.873E-06 | global batch size:   256 | lm loss: 3.398737E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.872 | TFLOPs: 28.53 |
7:  iteration    23390/   37905 | consumed samples:      5987840 | consumed tokens:  12263096320 | elapsed time per iteration (s): 0.25 | learning rate: 7.866E-06 | global batch size:   256 | lm loss: 3.371341E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.659 | TFLOPs: 26.23 |
7:  iteration    23400/   37905 | consumed samples:      5990400 | consumed tokens:  12268339200 | elapsed time per iteration (s): 0.23 | learning rate: 7.859E-06 | global batch size:   256 | lm loss: 3.338731E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.769 | TFLOPs: 28.68 |
7:  iteration    23410/   37905 | consumed samples:      5992960 | consumed tokens:  12273582080 | elapsed time per iteration (s): 0.23 | learning rate: 7.852E-06 | global batch size:   256 | lm loss: 3.373557E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.977 | TFLOPs: 27.82 |
7:  iteration    23420/   37905 | consumed samples:      5995520 | consumed tokens:  12278824960 | elapsed time per iteration (s): 0.23 | learning rate: 7.845E-06 | global batch size:   256 | lm loss: 3.387621E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.636 | TFLOPs: 28.40 |
7:  iteration    23430/   37905 | consumed samples:      5998080 | consumed tokens:  12284067840 | elapsed time per iteration (s): 0.23 | learning rate: 7.838E-06 | global batch size:   256 | lm loss: 3.364394E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.440 | TFLOPs: 28.59 |
7:  iteration    23440/   37905 | consumed samples:      6000640 | consumed tokens:  12289310720 | elapsed time per iteration (s): 0.24 | learning rate: 7.831E-06 | global batch size:   256 | lm loss: 3.391097E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.531 | TFLOPs: 27.60 |
7:  iteration    23450/   37905 | consumed samples:      6003200 | consumed tokens:  12294553600 | elapsed time per iteration (s): 0.24 | learning rate: 7.824E-06 | global batch size:   256 | lm loss: 3.359967E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1045.984 | TFLOPs: 26.65 |
7:  iteration    23460/   37905 | consumed samples:      6005760 | consumed tokens:  12299796480 | elapsed time per iteration (s): 0.23 | learning rate: 7.817E-06 | global batch size:   256 | lm loss: 3.360463E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.905 | TFLOPs: 28.05 |
7:  iteration    23470/   37905 | consumed samples:      6008320 | consumed tokens:  12305039360 | elapsed time per iteration (s): 0.24 | learning rate: 7.810E-06 | global batch size:   256 | lm loss: 3.401735E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.368 | TFLOPs: 26.89 |
7:  iteration    23480/   37905 | consumed samples:      6010880 | consumed tokens:  12310282240 | elapsed time per iteration (s): 0.23 | learning rate: 7.803E-06 | global batch size:   256 | lm loss: 3.395845E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.853 | TFLOPs: 28.45 |
7:  iteration    23490/   37905 | consumed samples:      6013440 | consumed tokens:  12315525120 | elapsed time per iteration (s): 0.23 | learning rate: 7.796E-06 | global batch size:   256 | lm loss: 3.392392E+00 | grad norm: 0.639 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.764 | TFLOPs: 28.07 |
7:  iteration    23500/   37905 | consumed samples:      6016000 | consumed tokens:  12320768000 | elapsed time per iteration (s): 0.26 | learning rate: 7.789E-06 | global batch size:   256 | lm loss: 3.391431E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.922 | TFLOPs: 25.45 |
7:  iteration    23510/   37905 | consumed samples:      6018560 | consumed tokens:  12326010880 | elapsed time per iteration (s): 0.23 | learning rate: 7.782E-06 | global batch size:   256 | lm loss: 3.343123E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.927 | TFLOPs: 28.02 |
7:  iteration    23520/   37905 | consumed samples:      6021120 | consumed tokens:  12331253760 | elapsed time per iteration (s): 0.23 | learning rate: 7.775E-06 | global batch size:   256 | lm loss: 3.405049E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1128.394 | TFLOPs: 28.75 |
7:  iteration    23530/   37905 | consumed samples:      6023680 | consumed tokens:  12336496640 | elapsed time per iteration (s): 0.25 | learning rate: 7.768E-06 | global batch size:   256 | lm loss: 3.389792E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.356 | TFLOPs: 26.55 |
7:  iteration    23540/   37905 | consumed samples:      6026240 | consumed tokens:  12341739520 | elapsed time per iteration (s): 0.25 | learning rate: 7.761E-06 | global batch size:   256 | lm loss: 3.487547E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.331 | TFLOPs: 26.30 |
7:  iteration    23550/   37905 | consumed samples:      6028800 | consumed tokens:  12346982400 | elapsed time per iteration (s): 0.23 | learning rate: 7.754E-06 | global batch size:   256 | lm loss: 3.428552E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.676 | TFLOPs: 28.65 |
7:  iteration    23560/   37905 | consumed samples:      6031360 | consumed tokens:  12352225280 | elapsed time per iteration (s): 0.24 | learning rate: 7.747E-06 | global batch size:   256 | lm loss: 3.405919E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.681 | TFLOPs: 26.79 |
7:  iteration    23570/   37905 | consumed samples:      6033920 | consumed tokens:  12357468160 | elapsed time per iteration (s): 0.24 | learning rate: 7.740E-06 | global batch size:   256 | lm loss: 3.380119E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.672 | TFLOPs: 27.22 |
7:  iteration    23580/   37905 | consumed samples:      6036480 | consumed tokens:  12362711040 | elapsed time per iteration (s): 0.24 | learning rate: 7.733E-06 | global batch size:   256 | lm loss: 3.367996E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.713 | TFLOPs: 27.56 |
7:  iteration    23590/   37905 | consumed samples:      6039040 | consumed tokens:  12367953920 | elapsed time per iteration (s): 0.23 | learning rate: 7.726E-06 | global batch size:   256 | lm loss: 3.341022E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.184 | TFLOPs: 28.03 |
7:  iteration    23600/   37905 | consumed samples:      6041600 | consumed tokens:  12373196800 | elapsed time per iteration (s): 0.24 | learning rate: 7.719E-06 | global batch size:   256 | lm loss: 3.373120E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.415 | TFLOPs: 27.32 |
7:  iteration    23610/   37905 | consumed samples:      6044160 | consumed tokens:  12378439680 | elapsed time per iteration (s): 0.23 | learning rate: 7.712E-06 | global batch size:   256 | lm loss: 3.394221E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.262 | TFLOPs: 28.54 |
7:  iteration    23620/   37905 | consumed samples:      6046720 | consumed tokens:  12383682560 | elapsed time per iteration (s): 0.24 | learning rate: 7.705E-06 | global batch size:   256 | lm loss: 3.417032E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.412 | TFLOPs: 26.73 |
7:  iteration    23630/   37905 | consumed samples:      6049280 | consumed tokens:  12388925440 | elapsed time per iteration (s): 0.25 | learning rate: 7.698E-06 | global batch size:   256 | lm loss: 3.359116E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.656 | TFLOPs: 26.54 |
7:  iteration    23640/   37905 | consumed samples:      6051840 | consumed tokens:  12394168320 | elapsed time per iteration (s): 0.23 | learning rate: 7.691E-06 | global batch size:   256 | lm loss: 3.371791E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.316 | TFLOPs: 28.08 |
7:  iteration    23650/   37905 | consumed samples:      6054400 | consumed tokens:  12399411200 | elapsed time per iteration (s): 0.24 | learning rate: 7.684E-06 | global batch size:   256 | lm loss: 3.329882E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.369 | TFLOPs: 27.29 |
7:  iteration    23660/   37905 | consumed samples:      6056960 | consumed tokens:  12404654080 | elapsed time per iteration (s): 0.23 | learning rate: 7.677E-06 | global batch size:   256 | lm loss: 3.385904E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.016 | TFLOPs: 28.07 |
7:  iteration    23670/   37905 | consumed samples:      6059520 | consumed tokens:  12409896960 | elapsed time per iteration (s): 0.23 | learning rate: 7.670E-06 | global batch size:   256 | lm loss: 3.373402E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.257 | TFLOPs: 28.67 |
7:  iteration    23680/   37905 | consumed samples:      6062080 | consumed tokens:  12415139840 | elapsed time per iteration (s): 0.23 | learning rate: 7.663E-06 | global batch size:   256 | lm loss: 3.368206E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.892 | TFLOPs: 27.99 |
7:  iteration    23690/   37905 | consumed samples:      6064640 | consumed tokens:  12420382720 | elapsed time per iteration (s): 0.24 | learning rate: 7.656E-06 | global batch size:   256 | lm loss: 3.382457E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.671 | TFLOPs: 27.38 |
7:  iteration    23700/   37905 | consumed samples:      6067200 | consumed tokens:  12425625600 | elapsed time per iteration (s): 0.24 | learning rate: 7.649E-06 | global batch size:   256 | lm loss: 3.385431E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1063.426 | TFLOPs: 27.09 |
7:  iteration    23710/   37905 | consumed samples:      6069760 | consumed tokens:  12430868480 | elapsed time per iteration (s): 0.23 | learning rate: 7.642E-06 | global batch size:   256 | lm loss: 3.374980E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.870 | TFLOPs: 28.63 |
7:  iteration    23720/   37905 | consumed samples:      6072320 | consumed tokens:  12436111360 | elapsed time per iteration (s): 0.23 | learning rate: 7.635E-06 | global batch size:   256 | lm loss: 3.366747E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.195 | TFLOPs: 28.41 |
7:  iteration    23730/   37905 | consumed samples:      6074880 | consumed tokens:  12441354240 | elapsed time per iteration (s): 0.25 | learning rate: 7.628E-06 | global batch size:   256 | lm loss: 3.400526E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.784 | TFLOPs: 25.72 |
7:  iteration    23740/   37905 | consumed samples:      6077440 | consumed tokens:  12446597120 | elapsed time per iteration (s): 0.23 | learning rate: 7.621E-06 | global batch size:   256 | lm loss: 3.334649E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.803 | TFLOPs: 28.50 |
7:  iteration    23750/   37905 | consumed samples:      6080000 | consumed tokens:  12451840000 | elapsed time per iteration (s): 0.27 | learning rate: 7.614E-06 | global batch size:   256 | lm loss: 3.339964E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.249 | TFLOPs: 24.11 |
7:  iteration    23760/   37905 | consumed samples:      6082560 | consumed tokens:  12457082880 | elapsed time per iteration (s): 0.23 | learning rate: 7.607E-06 | global batch size:   256 | lm loss: 3.355377E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.671 | TFLOPs: 28.24 |
7:  iteration    23770/   37905 | consumed samples:      6085120 | consumed tokens:  12462325760 | elapsed time per iteration (s): 0.23 | learning rate: 7.600E-06 | global batch size:   256 | lm loss: 3.385207E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.416 | TFLOPs: 28.29 |
7:  iteration    23780/   37905 | consumed samples:      6087680 | consumed tokens:  12467568640 | elapsed time per iteration (s): 0.23 | learning rate: 7.593E-06 | global batch size:   256 | lm loss: 3.396809E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.052 | TFLOPs: 28.43 |
7:  iteration    23790/   37905 | consumed samples:      6090240 | consumed tokens:  12472811520 | elapsed time per iteration (s): 0.23 | learning rate: 7.586E-06 | global batch size:   256 | lm loss: 3.401384E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.618 | TFLOPs: 28.29 |
7:  iteration    23800/   37905 | consumed samples:      6092800 | consumed tokens:  12478054400 | elapsed time per iteration (s): 0.26 | learning rate: 7.579E-06 | global batch size:   256 | lm loss: 3.374849E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.540 | TFLOPs: 24.70 |
7:  iteration    23810/   37905 | consumed samples:      6095360 | consumed tokens:  12483297280 | elapsed time per iteration (s): 0.23 | learning rate: 7.572E-06 | global batch size:   256 | lm loss: 3.354581E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.524 | TFLOPs: 27.96 |
7:  iteration    23820/   37905 | consumed samples:      6097920 | consumed tokens:  12488540160 | elapsed time per iteration (s): 0.24 | learning rate: 7.565E-06 | global batch size:   256 | lm loss: 3.361203E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.472 | TFLOPs: 27.12 |
7:  iteration    23830/   37905 | consumed samples:      6100480 | consumed tokens:  12493783040 | elapsed time per iteration (s): 0.24 | learning rate: 7.558E-06 | global batch size:   256 | lm loss: 3.376403E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.879 | TFLOPs: 27.59 |
7:  iteration    23840/   37905 | consumed samples:      6103040 | consumed tokens:  12499025920 | elapsed time per iteration (s): 0.25 | learning rate: 7.551E-06 | global batch size:   256 | lm loss: 3.332794E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.950 | TFLOPs: 26.59 |
7:  iteration    23850/   37905 | consumed samples:      6105600 | consumed tokens:  12504268800 | elapsed time per iteration (s): 0.24 | learning rate: 7.544E-06 | global batch size:   256 | lm loss: 3.381741E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.341 | TFLOPs: 27.67 |
7:  iteration    23860/   37905 | consumed samples:      6108160 | consumed tokens:  12509511680 | elapsed time per iteration (s): 0.24 | learning rate: 7.537E-06 | global batch size:   256 | lm loss: 3.338948E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.170 | TFLOPs: 27.31 |
7:  iteration    23870/   37905 | consumed samples:      6110720 | consumed tokens:  12514754560 | elapsed time per iteration (s): 0.23 | learning rate: 7.530E-06 | global batch size:   256 | lm loss: 3.376636E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.087 | TFLOPs: 27.80 |
7:  iteration    23880/   37905 | consumed samples:      6113280 | consumed tokens:  12519997440 | elapsed time per iteration (s): 0.23 | learning rate: 7.523E-06 | global batch size:   256 | lm loss: 3.402640E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.487 | TFLOPs: 27.86 |
7:  iteration    23890/   37905 | consumed samples:      6115840 | consumed tokens:  12525240320 | elapsed time per iteration (s): 0.26 | learning rate: 7.516E-06 | global batch size:   256 | lm loss: 3.374097E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.621 | TFLOPs: 25.57 |
7:  iteration    23900/   37905 | consumed samples:      6118400 | consumed tokens:  12530483200 | elapsed time per iteration (s): 0.23 | learning rate: 7.509E-06 | global batch size:   256 | lm loss: 3.417401E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.421 | TFLOPs: 28.70 |
7:  iteration    23910/   37905 | consumed samples:      6120960 | consumed tokens:  12535726080 | elapsed time per iteration (s): 0.23 | learning rate: 7.502E-06 | global batch size:   256 | lm loss: 3.368429E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.393 | TFLOPs: 28.47 |
7:  iteration    23920/   37905 | consumed samples:      6123520 | consumed tokens:  12540968960 | elapsed time per iteration (s): 0.24 | learning rate: 7.495E-06 | global batch size:   256 | lm loss: 3.353667E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.993 | TFLOPs: 27.08 |
7:  iteration    23930/   37905 | consumed samples:      6126080 | consumed tokens:  12546211840 | elapsed time per iteration (s): 0.23 | learning rate: 7.488E-06 | global batch size:   256 | lm loss: 3.396145E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.814 | TFLOPs: 28.50 |
7:  iteration    23940/   37905 | consumed samples:      6128640 | consumed tokens:  12551454720 | elapsed time per iteration (s): 0.25 | learning rate: 7.481E-06 | global batch size:   256 | lm loss: 3.362987E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.530 | TFLOPs: 26.20 |
7:  iteration    23950/   37905 | consumed samples:      6131200 | consumed tokens:  12556697600 | elapsed time per iteration (s): 0.27 | learning rate: 7.474E-06 | global batch size:   256 | lm loss: 3.369397E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.372 | TFLOPs: 24.34 |
7:  iteration    23960/   37905 | consumed samples:      6133760 | consumed tokens:  12561940480 | elapsed time per iteration (s): 0.23 | learning rate: 7.468E-06 | global batch size:   256 | lm loss: 3.339083E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.368 | TFLOPs: 28.03 |
7:  iteration    23970/   37905 | consumed samples:      6136320 | consumed tokens:  12567183360 | elapsed time per iteration (s): 0.23 | learning rate: 7.461E-06 | global batch size:   256 | lm loss: 3.378104E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.514 | TFLOPs: 28.55 |
7:  iteration    23980/   37905 | consumed samples:      6138880 | consumed tokens:  12572426240 | elapsed time per iteration (s): 0.23 | learning rate: 7.454E-06 | global batch size:   256 | lm loss: 3.387160E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.932 | TFLOPs: 28.53 |
7:  iteration    23990/   37905 | consumed samples:      6141440 | consumed tokens:  12577669120 | elapsed time per iteration (s): 0.25 | learning rate: 7.447E-06 | global batch size:   256 | lm loss: 3.390535E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.360 | TFLOPs: 26.12 |
0: [2022-11-28 16:57:09,069] [INFO] [logging.py:68:log_dist] [Rank 0] step=24000, skipped=0, lr=[7.439815524319268e-06, 7.439815524319268e-06, 7.439815524319268e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    24000/   37905 | consumed samples:      6144000 | consumed tokens:  12582912000 | elapsed time per iteration (s): 0.23 | learning rate: 7.440E-06 | global batch size:   256 | lm loss: 3.357859E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.006 | TFLOPs: 28.46 |
0: steps: 24000 loss: 3.4617 iter time (s): 0.239 samples/sec: 1068.950
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 24000 | lm loss value: 3.262566E+00 | lm loss PPL: 2.611646E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   24000 to checkpoints_83slr
0: [2022-11-28 16:57:09,174] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step24000 is begin to save!
0: [2022-11-28 16:57:09,177] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/layer_01-model_00-model_states.pt...
0: [2022-11-28 16:57:09,247] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step24000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 16:57:09,262] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/layer_04-model_00-model_states.pt...
0: [2022-11-28 16:57:09,272] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step24000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 16:57:09,284] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step24000/layer_05-model_00-model_states.pt.
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0: [2022-11-28 16:57:09,329] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/layer_10-model_00-model_states.pt...
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0: [2022-11-28 16:57:09,340] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/layer_11-model_00-model_states.pt...
0: [2022-11-28 16:57:09,351] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step24000/layer_11-model_00-model_states.pt.
0: [2022-11-28 16:57:09,352] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/layer_12-model_00-model_states.pt...
0: [2022-11-28 16:57:09,363] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step24000/layer_12-model_00-model_states.pt.
0: [2022-11-28 16:57:09,363] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/layer_14-model_00-model_states.pt...
0: [2022-11-28 16:57:09,364] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step24000/layer_14-model_00-model_states.pt.
0: [2022-11-28 16:57:09,364] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step24000/mp_rank_00_model_states.pt
0: [2022-11-28 16:57:09,364] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/mp_rank_00_model_states.pt...
0: [2022-11-28 16:57:09,366] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step24000/mp_rank_00_model_states.pt.
0: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
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0: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
7: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
6: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
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4: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
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7: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
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1: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
2: [2022-11-28 16:57:09,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step24000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
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0:   successfully saved checkpoint at iteration   24000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 246.96
7:  iteration    24010/   37905 | consumed samples:      6146560 | consumed tokens:  12588154880 | elapsed time per iteration (s): 0.27 | learning rate: 7.433E-06 | global batch size:   256 | lm loss: 3.350369E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.749 | TFLOPs: 24.53 |
7:  iteration    24020/   37905 | consumed samples:      6149120 | consumed tokens:  12593397760 | elapsed time per iteration (s): 0.26 | learning rate: 7.426E-06 | global batch size:   256 | lm loss: 3.368147E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.599 | TFLOPs: 25.46 |
7:  iteration    24030/   37905 | consumed samples:      6151680 | consumed tokens:  12598640640 | elapsed time per iteration (s): 0.23 | learning rate: 7.419E-06 | global batch size:   256 | lm loss: 3.402946E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.525 | TFLOPs: 28.57 |
7:  iteration    24040/   37905 | consumed samples:      6154240 | consumed tokens:  12603883520 | elapsed time per iteration (s): 0.25 | learning rate: 7.412E-06 | global batch size:   256 | lm loss: 3.357069E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.017 | TFLOPs: 26.14 |
7:  iteration    24050/   37905 | consumed samples:      6156800 | consumed tokens:  12609126400 | elapsed time per iteration (s): 0.23 | learning rate: 7.405E-06 | global batch size:   256 | lm loss: 3.384087E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.494 | TFLOPs: 28.04 |
7:  iteration    24060/   37905 | consumed samples:      6159360 | consumed tokens:  12614369280 | elapsed time per iteration (s): 0.26 | learning rate: 7.398E-06 | global batch size:   256 | lm loss: 3.381400E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.630 | TFLOPs: 25.54 |
7:  iteration    24070/   37905 | consumed samples:      6161920 | consumed tokens:  12619612160 | elapsed time per iteration (s): 0.23 | learning rate: 7.391E-06 | global batch size:   256 | lm loss: 3.367818E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.327 | TFLOPs: 28.31 |
7:  iteration    24080/   37905 | consumed samples:      6164480 | consumed tokens:  12624855040 | elapsed time per iteration (s): 0.24 | learning rate: 7.385E-06 | global batch size:   256 | lm loss: 3.393258E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.547 | TFLOPs: 27.07 |
7:  iteration    24090/   37905 | consumed samples:      6167040 | consumed tokens:  12630097920 | elapsed time per iteration (s): 0.24 | learning rate: 7.378E-06 | global batch size:   256 | lm loss: 3.365295E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.231 | TFLOPs: 27.01 |
7:  iteration    24100/   37905 | consumed samples:      6169600 | consumed tokens:  12635340800 | elapsed time per iteration (s): 0.23 | learning rate: 7.371E-06 | global batch size:   256 | lm loss: 3.338474E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.699 | TFLOPs: 28.63 |
7:  iteration    24110/   37905 | consumed samples:      6172160 | consumed tokens:  12640583680 | elapsed time per iteration (s): 0.23 | learning rate: 7.364E-06 | global batch size:   256 | lm loss: 3.380689E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.336 | TFLOPs: 28.16 |
7:  iteration    24120/   37905 | consumed samples:      6174720 | consumed tokens:  12645826560 | elapsed time per iteration (s): 0.24 | learning rate: 7.357E-06 | global batch size:   256 | lm loss: 3.370344E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.605 | TFLOPs: 27.43 |
7:  iteration    24130/   37905 | consumed samples:      6177280 | consumed tokens:  12651069440 | elapsed time per iteration (s): 0.24 | learning rate: 7.350E-06 | global batch size:   256 | lm loss: 3.379036E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.850 | TFLOPs: 27.05 |
7:  iteration    24140/   37905 | consumed samples:      6179840 | consumed tokens:  12656312320 | elapsed time per iteration (s): 0.23 | learning rate: 7.343E-06 | global batch size:   256 | lm loss: 3.332655E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.024 | TFLOPs: 28.25 |
7:  iteration    24150/   37905 | consumed samples:      6182400 | consumed tokens:  12661555200 | elapsed time per iteration (s): 0.23 | learning rate: 7.336E-06 | global batch size:   256 | lm loss: 3.382751E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.753 | TFLOPs: 28.30 |
7:  iteration    24160/   37905 | consumed samples:      6184960 | consumed tokens:  12666798080 | elapsed time per iteration (s): 0.24 | learning rate: 7.329E-06 | global batch size:   256 | lm loss: 3.382796E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.766 | TFLOPs: 27.05 |
7:  iteration    24170/   37905 | consumed samples:      6187520 | consumed tokens:  12672040960 | elapsed time per iteration (s): 0.24 | learning rate: 7.323E-06 | global batch size:   256 | lm loss: 3.365142E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.676 | TFLOPs: 27.30 |
7:  iteration    24180/   37905 | consumed samples:      6190080 | consumed tokens:  12677283840 | elapsed time per iteration (s): 0.23 | learning rate: 7.316E-06 | global batch size:   256 | lm loss: 3.381929E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.373 | TFLOPs: 28.52 |
7:  iteration    24190/   37905 | consumed samples:      6192640 | consumed tokens:  12682526720 | elapsed time per iteration (s): 0.24 | learning rate: 7.309E-06 | global batch size:   256 | lm loss: 3.363689E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.794 | TFLOPs: 26.85 |
7:  iteration    24200/   37905 | consumed samples:      6195200 | consumed tokens:  12687769600 | elapsed time per iteration (s): 0.27 | learning rate: 7.302E-06 | global batch size:   256 | lm loss: 3.396012E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.334 | TFLOPs: 24.52 |
7:  iteration    24210/   37905 | consumed samples:      6197760 | consumed tokens:  12693012480 | elapsed time per iteration (s): 0.23 | learning rate: 7.295E-06 | global batch size:   256 | lm loss: 3.371335E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.604 | TFLOPs: 28.47 |
7:  iteration    24220/   37905 | consumed samples:      6200320 | consumed tokens:  12698255360 | elapsed time per iteration (s): 0.24 | learning rate: 7.288E-06 | global batch size:   256 | lm loss: 3.341061E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.270 | TFLOPs: 26.96 |
7:  iteration    24230/   37905 | consumed samples:      6202880 | consumed tokens:  12703498240 | elapsed time per iteration (s): 0.24 | learning rate: 7.281E-06 | global batch size:   256 | lm loss: 3.359156E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.162 | TFLOPs: 26.83 |
7:  iteration    24240/   37905 | consumed samples:      6205440 | consumed tokens:  12708741120 | elapsed time per iteration (s): 0.23 | learning rate: 7.274E-06 | global batch size:   256 | lm loss: 3.369428E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.012 | TFLOPs: 28.58 |
7:  iteration    24250/   37905 | consumed samples:      6208000 | consumed tokens:  12713984000 | elapsed time per iteration (s): 0.25 | learning rate: 7.268E-06 | global batch size:   256 | lm loss: 3.376035E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.080 | TFLOPs: 26.42 |
7:  iteration    24260/   37905 | consumed samples:      6210560 | consumed tokens:  12719226880 | elapsed time per iteration (s): 0.23 | learning rate: 7.261E-06 | global batch size:   256 | lm loss: 3.368767E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.727 | TFLOPs: 28.55 |
7:  iteration    24270/   37905 | consumed samples:      6213120 | consumed tokens:  12724469760 | elapsed time per iteration (s): 0.26 | learning rate: 7.254E-06 | global batch size:   256 | lm loss: 3.391551E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.367 | TFLOPs: 25.51 |
7:  iteration    24280/   37905 | consumed samples:      6215680 | consumed tokens:  12729712640 | elapsed time per iteration (s): 0.24 | learning rate: 7.247E-06 | global batch size:   256 | lm loss: 3.374033E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.866 | TFLOPs: 27.56 |
7:  iteration    24290/   37905 | consumed samples:      6218240 | consumed tokens:  12734955520 | elapsed time per iteration (s): 0.23 | learning rate: 7.240E-06 | global batch size:   256 | lm loss: 3.343219E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.800 | TFLOPs: 28.50 |
7:  iteration    24300/   37905 | consumed samples:      6220800 | consumed tokens:  12740198400 | elapsed time per iteration (s): 0.25 | learning rate: 7.233E-06 | global batch size:   256 | lm loss: 3.360013E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.697 | TFLOPs: 26.44 |
7:  iteration    24310/   37905 | consumed samples:      6223360 | consumed tokens:  12745441280 | elapsed time per iteration (s): 0.23 | learning rate: 7.227E-06 | global batch size:   256 | lm loss: 3.359232E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.549 | TFLOPs: 27.88 |
7:  iteration    24320/   37905 | consumed samples:      6225920 | consumed tokens:  12750684160 | elapsed time per iteration (s): 0.23 | learning rate: 7.220E-06 | global batch size:   256 | lm loss: 3.369180E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.060 | TFLOPs: 27.77 |
7:  iteration    24330/   37905 | consumed samples:      6228480 | consumed tokens:  12755927040 | elapsed time per iteration (s): 0.25 | learning rate: 7.213E-06 | global batch size:   256 | lm loss: 3.371047E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.185 | TFLOPs: 26.04 |
7:  iteration    24340/   37905 | consumed samples:      6231040 | consumed tokens:  12761169920 | elapsed time per iteration (s): 0.24 | learning rate: 7.206E-06 | global batch size:   256 | lm loss: 3.383464E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.002 | TFLOPs: 27.51 |
7:  iteration    24350/   37905 | consumed samples:      6233600 | consumed tokens:  12766412800 | elapsed time per iteration (s): 0.24 | learning rate: 7.199E-06 | global batch size:   256 | lm loss: 3.373928E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.271 | TFLOPs: 27.06 |
7:  iteration    24360/   37905 | consumed samples:      6236160 | consumed tokens:  12771655680 | elapsed time per iteration (s): 0.25 | learning rate: 7.192E-06 | global batch size:   256 | lm loss: 3.371460E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.667 | TFLOPs: 25.93 |
7:  iteration    24370/   37905 | consumed samples:      6238720 | consumed tokens:  12776898560 | elapsed time per iteration (s): 0.25 | learning rate: 7.186E-06 | global batch size:   256 | lm loss: 3.384089E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.551 | TFLOPs: 25.64 |
7:  iteration    24380/   37905 | consumed samples:      6241280 | consumed tokens:  12782141440 | elapsed time per iteration (s): 0.23 | learning rate: 7.179E-06 | global batch size:   256 | lm loss: 3.333745E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.426 | TFLOPs: 28.62 |
7:  iteration    24390/   37905 | consumed samples:      6243840 | consumed tokens:  12787384320 | elapsed time per iteration (s): 0.25 | learning rate: 7.172E-06 | global batch size:   256 | lm loss: 3.344941E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.747 | TFLOPs: 26.46 |
7:  iteration    24400/   37905 | consumed samples:      6246400 | consumed tokens:  12792627200 | elapsed time per iteration (s): 0.23 | learning rate: 7.165E-06 | global batch size:   256 | lm loss: 3.390973E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.803 | TFLOPs: 28.65 |
7:  iteration    24410/   37905 | consumed samples:      6248960 | consumed tokens:  12797870080 | elapsed time per iteration (s): 0.24 | learning rate: 7.158E-06 | global batch size:   256 | lm loss: 3.374923E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.311 | TFLOPs: 27.60 |
7:  iteration    24420/   37905 | consumed samples:      6251520 | consumed tokens:  12803112960 | elapsed time per iteration (s): 0.24 | learning rate: 7.151E-06 | global batch size:   256 | lm loss: 3.397069E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.925 | TFLOPs: 27.13 |
7:  iteration    24430/   37905 | consumed samples:      6254080 | consumed tokens:  12808355840 | elapsed time per iteration (s): 0.23 | learning rate: 7.145E-06 | global batch size:   256 | lm loss: 3.393239E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.349 | TFLOPs: 28.41 |
7:  iteration    24440/   37905 | consumed samples:      6256640 | consumed tokens:  12813598720 | elapsed time per iteration (s): 0.24 | learning rate: 7.138E-06 | global batch size:   256 | lm loss: 3.373480E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.162 | TFLOPs: 26.88 |
7:  iteration    24450/   37905 | consumed samples:      6259200 | consumed tokens:  12818841600 | elapsed time per iteration (s): 0.23 | learning rate: 7.131E-06 | global batch size:   256 | lm loss: 3.354007E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.803 | TFLOPs: 28.09 |
7:  iteration    24460/   37905 | consumed samples:      6261760 | consumed tokens:  12824084480 | elapsed time per iteration (s): 0.25 | learning rate: 7.124E-06 | global batch size:   256 | lm loss: 3.395973E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.938 | TFLOPs: 25.80 |
7:  iteration    24470/   37905 | consumed samples:      6264320 | consumed tokens:  12829327360 | elapsed time per iteration (s): 0.23 | learning rate: 7.117E-06 | global batch size:   256 | lm loss: 3.364127E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.269 | TFLOPs: 28.41 |
7:  iteration    24480/   37905 | consumed samples:      6266880 | consumed tokens:  12834570240 | elapsed time per iteration (s): 0.24 | learning rate: 7.111E-06 | global batch size:   256 | lm loss: 3.374018E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.642 | TFLOPs: 27.27 |
7:  iteration    24490/   37905 | consumed samples:      6269440 | consumed tokens:  12839813120 | elapsed time per iteration (s): 0.23 | learning rate: 7.104E-06 | global batch size:   256 | lm loss: 3.380487E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.599 | TFLOPs: 28.09 |
7:  iteration    24500/   37905 | consumed samples:      6272000 | consumed tokens:  12845056000 | elapsed time per iteration (s): 0.23 | learning rate: 7.097E-06 | global batch size:   256 | lm loss: 3.383631E+00 | grad norm: 0.566 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.250 | TFLOPs: 28.41 |
7:  iteration    24510/   37905 | consumed samples:      6274560 | consumed tokens:  12850298880 | elapsed time per iteration (s): 0.25 | learning rate: 7.090E-06 | global batch size:   256 | lm loss: 3.404723E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.255 | TFLOPs: 26.17 |
7:  iteration    24520/   37905 | consumed samples:      6277120 | consumed tokens:  12855541760 | elapsed time per iteration (s): 0.23 | learning rate: 7.083E-06 | global batch size:   256 | lm loss: 3.426825E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.986 | TFLOPs: 27.77 |
7:  iteration    24530/   37905 | consumed samples:      6279680 | consumed tokens:  12860784640 | elapsed time per iteration (s): 0.24 | learning rate: 7.077E-06 | global batch size:   256 | lm loss: 3.369321E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.986 | TFLOPs: 27.23 |
7:  iteration    24540/   37905 | consumed samples:      6282240 | consumed tokens:  12866027520 | elapsed time per iteration (s): 0.23 | learning rate: 7.070E-06 | global batch size:   256 | lm loss: 3.402441E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.310 | TFLOPs: 28.67 |
7:  iteration    24550/   37905 | consumed samples:      6284800 | consumed tokens:  12871270400 | elapsed time per iteration (s): 0.26 | learning rate: 7.063E-06 | global batch size:   256 | lm loss: 3.373865E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.650 | TFLOPs: 25.49 |
7:  iteration    24560/   37905 | consumed samples:      6287360 | consumed tokens:  12876513280 | elapsed time per iteration (s): 0.23 | learning rate: 7.056E-06 | global batch size:   256 | lm loss: 3.391348E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.016 | TFLOPs: 28.18 |
7:  iteration    24570/   37905 | consumed samples:      6289920 | consumed tokens:  12881756160 | elapsed time per iteration (s): 0.23 | learning rate: 7.050E-06 | global batch size:   256 | lm loss: 3.414355E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.041 | TFLOPs: 28.25 |
7:  iteration    24580/   37905 | consumed samples:      6292480 | consumed tokens:  12886999040 | elapsed time per iteration (s): 0.24 | learning rate: 7.043E-06 | global batch size:   256 | lm loss: 3.398462E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.454 | TFLOPs: 27.45 |
7:  iteration    24590/   37905 | consumed samples:      6295040 | consumed tokens:  12892241920 | elapsed time per iteration (s): 0.23 | learning rate: 7.036E-06 | global batch size:   256 | lm loss: 3.319078E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.808 | TFLOPs: 28.48 |
7:  iteration    24600/   37905 | consumed samples:      6297600 | consumed tokens:  12897484800 | elapsed time per iteration (s): 0.23 | learning rate: 7.029E-06 | global batch size:   256 | lm loss: 3.373964E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.053 | TFLOPs: 28.41 |
7:  iteration    24610/   37905 | consumed samples:      6300160 | consumed tokens:  12902727680 | elapsed time per iteration (s): 0.25 | learning rate: 7.023E-06 | global batch size:   256 | lm loss: 3.372649E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.125 | TFLOPs: 25.89 |
7:  iteration    24620/   37905 | consumed samples:      6302720 | consumed tokens:  12907970560 | elapsed time per iteration (s): 0.23 | learning rate: 7.016E-06 | global batch size:   256 | lm loss: 3.414832E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.897 | TFLOPs: 28.50 |
7:  iteration    24630/   37905 | consumed samples:      6305280 | consumed tokens:  12913213440 | elapsed time per iteration (s): 0.23 | learning rate: 7.009E-06 | global batch size:   256 | lm loss: 3.365952E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.603 | TFLOPs: 28.45 |
7:  iteration    24640/   37905 | consumed samples:      6307840 | consumed tokens:  12918456320 | elapsed time per iteration (s): 0.23 | learning rate: 7.002E-06 | global batch size:   256 | lm loss: 3.400018E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.490 | TFLOPs: 28.39 |
7:  iteration    24650/   37905 | consumed samples:      6310400 | consumed tokens:  12923699200 | elapsed time per iteration (s): 0.25 | learning rate: 6.996E-06 | global batch size:   256 | lm loss: 3.396989E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.492 | TFLOPs: 25.90 |
7:  iteration    24660/   37905 | consumed samples:      6312960 | consumed tokens:  12928942080 | elapsed time per iteration (s): 0.23 | learning rate: 6.989E-06 | global batch size:   256 | lm loss: 3.388788E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.230 | TFLOPs: 28.23 |
7:  iteration    24670/   37905 | consumed samples:      6315520 | consumed tokens:  12934184960 | elapsed time per iteration (s): 0.25 | learning rate: 6.982E-06 | global batch size:   256 | lm loss: 3.386889E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.220 | TFLOPs: 25.86 |
7:  iteration    24680/   37905 | consumed samples:      6318080 | consumed tokens:  12939427840 | elapsed time per iteration (s): 0.23 | learning rate: 6.975E-06 | global batch size:   256 | lm loss: 3.363328E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.873 | TFLOPs: 28.10 |
7:  iteration    24690/   37905 | consumed samples:      6320640 | consumed tokens:  12944670720 | elapsed time per iteration (s): 0.24 | learning rate: 6.969E-06 | global batch size:   256 | lm loss: 3.406470E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.200 | TFLOPs: 26.96 |
7:  iteration    24700/   37905 | consumed samples:      6323200 | consumed tokens:  12949913600 | elapsed time per iteration (s): 0.24 | learning rate: 6.962E-06 | global batch size:   256 | lm loss: 3.411861E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.815 | TFLOPs: 27.08 |
7:  iteration    24710/   37905 | consumed samples:      6325760 | consumed tokens:  12955156480 | elapsed time per iteration (s): 0.26 | learning rate: 6.955E-06 | global batch size:   256 | lm loss: 3.306095E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.478 | TFLOPs: 24.62 |
7:  iteration    24720/   37905 | consumed samples:      6328320 | consumed tokens:  12960399360 | elapsed time per iteration (s): 0.25 | learning rate: 6.948E-06 | global batch size:   256 | lm loss: 3.367900E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.836 | TFLOPs: 26.31 |
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7:  iteration    24740/   37905 | consumed samples:      6333440 | consumed tokens:  12970885120 | elapsed time per iteration (s): 0.25 | learning rate: 6.935E-06 | global batch size:   256 | lm loss: 3.365524E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.032 | TFLOPs: 26.01 |
7:  iteration    24750/   37905 | consumed samples:      6336000 | consumed tokens:  12976128000 | elapsed time per iteration (s): 0.23 | learning rate: 6.928E-06 | global batch size:   256 | lm loss: 3.351885E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.701 | TFLOPs: 28.35 |
7:  iteration    24760/   37905 | consumed samples:      6338560 | consumed tokens:  12981370880 | elapsed time per iteration (s): 0.24 | learning rate: 6.921E-06 | global batch size:   256 | lm loss: 3.346671E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.613 | TFLOPs: 26.69 |
7:  iteration    24770/   37905 | consumed samples:      6341120 | consumed tokens:  12986613760 | elapsed time per iteration (s): 0.23 | learning rate: 6.915E-06 | global batch size:   256 | lm loss: 3.387059E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.674 | TFLOPs: 28.47 |
7:  iteration    24780/   37905 | consumed samples:      6343680 | consumed tokens:  12991856640 | elapsed time per iteration (s): 0.26 | learning rate: 6.908E-06 | global batch size:   256 | lm loss: 3.376946E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.719 | TFLOPs: 25.03 |
7:  iteration    24790/   37905 | consumed samples:      6346240 | consumed tokens:  12997099520 | elapsed time per iteration (s): 0.25 | learning rate: 6.901E-06 | global batch size:   256 | lm loss: 3.375323E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.899 | TFLOPs: 26.31 |
7:  iteration    24800/   37905 | consumed samples:      6348800 | consumed tokens:  13002342400 | elapsed time per iteration (s): 0.23 | learning rate: 6.895E-06 | global batch size:   256 | lm loss: 3.360601E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.143 | TFLOPs: 28.31 |
7:  iteration    24810/   37905 | consumed samples:      6351360 | consumed tokens:  13007585280 | elapsed time per iteration (s): 0.24 | learning rate: 6.888E-06 | global batch size:   256 | lm loss: 3.395713E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1050.178 | TFLOPs: 26.75 |
7:  iteration    24820/   37905 | consumed samples:      6353920 | consumed tokens:  13012828160 | elapsed time per iteration (s): 0.23 | learning rate: 6.881E-06 | global batch size:   256 | lm loss: 3.387030E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.597 | TFLOPs: 28.01 |
7:  iteration    24830/   37905 | consumed samples:      6356480 | consumed tokens:  13018071040 | elapsed time per iteration (s): 0.24 | learning rate: 6.875E-06 | global batch size:   256 | lm loss: 3.374431E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.720 | TFLOPs: 26.84 |
7:  iteration    24840/   37905 | consumed samples:      6359040 | consumed tokens:  13023313920 | elapsed time per iteration (s): 0.24 | learning rate: 6.868E-06 | global batch size:   256 | lm loss: 3.346540E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.693 | TFLOPs: 27.58 |
7:  iteration    24850/   37905 | consumed samples:      6361600 | consumed tokens:  13028556800 | elapsed time per iteration (s): 0.23 | learning rate: 6.861E-06 | global batch size:   256 | lm loss: 3.374763E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.856 | TFLOPs: 28.40 |
7:  iteration    24860/   37905 | consumed samples:      6364160 | consumed tokens:  13033799680 | elapsed time per iteration (s): 0.23 | learning rate: 6.854E-06 | global batch size:   256 | lm loss: 3.313506E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.498 | TFLOPs: 28.04 |
7:  iteration    24870/   37905 | consumed samples:      6366720 | consumed tokens:  13039042560 | elapsed time per iteration (s): 0.23 | learning rate: 6.848E-06 | global batch size:   256 | lm loss: 3.373535E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.459 | TFLOPs: 28.24 |
7:  iteration    24880/   37905 | consumed samples:      6369280 | consumed tokens:  13044285440 | elapsed time per iteration (s): 0.23 | learning rate: 6.841E-06 | global batch size:   256 | lm loss: 3.354157E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.590 | TFLOPs: 28.11 |
7:  iteration    24890/   37905 | consumed samples:      6371840 | consumed tokens:  13049528320 | elapsed time per iteration (s): 0.23 | learning rate: 6.834E-06 | global batch size:   256 | lm loss: 3.367828E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.178 | TFLOPs: 28.31 |
7:  iteration    24900/   37905 | consumed samples:      6374400 | consumed tokens:  13054771200 | elapsed time per iteration (s): 0.25 | learning rate: 6.828E-06 | global batch size:   256 | lm loss: 3.343928E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.216 | TFLOPs: 25.86 |
7:  iteration    24910/   37905 | consumed samples:      6376960 | consumed tokens:  13060014080 | elapsed time per iteration (s): 0.23 | learning rate: 6.821E-06 | global batch size:   256 | lm loss: 3.353262E+00 | grad norm: 0.752 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.291 | TFLOPs: 28.13 |
7:  iteration    24920/   37905 | consumed samples:      6379520 | consumed tokens:  13065256960 | elapsed time per iteration (s): 0.23 | learning rate: 6.814E-06 | global batch size:   256 | lm loss: 3.370898E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.795 | TFLOPs: 28.04 |
7:  iteration    24930/   37905 | consumed samples:      6382080 | consumed tokens:  13070499840 | elapsed time per iteration (s): 0.25 | learning rate: 6.808E-06 | global batch size:   256 | lm loss: 3.370862E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.878 | TFLOPs: 26.57 |
7:  iteration    24940/   37905 | consumed samples:      6384640 | consumed tokens:  13075742720 | elapsed time per iteration (s): 0.23 | learning rate: 6.801E-06 | global batch size:   256 | lm loss: 3.357006E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.671 | TFLOPs: 27.91 |
7:  iteration    24950/   37905 | consumed samples:      6387200 | consumed tokens:  13080985600 | elapsed time per iteration (s): 0.25 | learning rate: 6.794E-06 | global batch size:   256 | lm loss: 3.371867E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.436 | TFLOPs: 26.45 |
7:  iteration    24960/   37905 | consumed samples:      6389760 | consumed tokens:  13086228480 | elapsed time per iteration (s): 0.23 | learning rate: 6.788E-06 | global batch size:   256 | lm loss: 3.359316E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.927 | TFLOPs: 28.66 |
7:  iteration    24970/   37905 | consumed samples:      6392320 | consumed tokens:  13091471360 | elapsed time per iteration (s): 0.23 | learning rate: 6.781E-06 | global batch size:   256 | lm loss: 3.339481E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.668 | TFLOPs: 28.07 |
7:  iteration    24980/   37905 | consumed samples:      6394880 | consumed tokens:  13096714240 | elapsed time per iteration (s): 0.26 | learning rate: 6.774E-06 | global batch size:   256 | lm loss: 3.349090E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.749 | TFLOPs: 24.78 |
7:  iteration    24990/   37905 | consumed samples:      6397440 | consumed tokens:  13101957120 | elapsed time per iteration (s): 0.23 | learning rate: 6.768E-06 | global batch size:   256 | lm loss: 3.370507E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.378 | TFLOPs: 28.64 |
7:  iteration    25000/   37905 | consumed samples:      6400000 | consumed tokens:  13107200000 | elapsed time per iteration (s): 0.23 | learning rate: 6.761E-06 | global batch size:   256 | lm loss: 3.362119E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.883 | TFLOPs: 28.50 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 25000 | lm loss value: 3.274783E+00 | lm loss PPL: 2.643750E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   25000 to checkpoints_83slr
0: [2022-11-28 17:01:08,125] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step25000 is begin to save!
0: [2022-11-28 17:01:08,129] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_01-model_00-model_states.pt...
0: [2022-11-28 17:01:08,198] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 17:01:08,210] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_03-model_00-model_states.pt.
0: [2022-11-28 17:01:08,210] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_04-model_00-model_states.pt...
0: [2022-11-28 17:01:08,221] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_04-model_00-model_states.pt.
0: [2022-11-28 17:01:08,221] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_05-model_00-model_states.pt...
0: [2022-11-28 17:01:08,232] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_05-model_00-model_states.pt.
0: [2022-11-28 17:01:08,233] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_06-model_00-model_states.pt...
0: [2022-11-28 17:01:08,243] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_06-model_00-model_states.pt.
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0: [2022-11-28 17:01:08,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_07-model_00-model_states.pt.
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0: [2022-11-28 17:01:08,277] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_10-model_00-model_states.pt...
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0: [2022-11-28 17:01:08,288] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_11-model_00-model_states.pt...
0: [2022-11-28 17:01:08,299] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_11-model_00-model_states.pt.
0: [2022-11-28 17:01:08,299] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_12-model_00-model_states.pt...
0: [2022-11-28 17:01:08,310] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_12-model_00-model_states.pt.
0: [2022-11-28 17:01:08,310] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/layer_14-model_00-model_states.pt...
0: [2022-11-28 17:01:08,311] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/layer_14-model_00-model_states.pt.
0: [2022-11-28 17:01:08,312] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step25000/mp_rank_00_model_states.pt
0: [2022-11-28 17:01:08,312] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/mp_rank_00_model_states.pt...
0: [2022-11-28 17:01:08,313] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step25000/mp_rank_00_model_states.pt.
0: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
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7: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:01:08,331] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step25000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
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3: [2022-11-28 17:01:08,371] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step25000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
3: [2022-11-28 17:01:08,371] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now!
3: [2022-11-28 17:01:08,371] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now!
0:   successfully saved checkpoint at iteration   25000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 251.90
7:  iteration    25010/   37905 | consumed samples:      6402560 | consumed tokens:  13112442880 | elapsed time per iteration (s): 0.26 | learning rate: 6.754E-06 | global batch size:   256 | lm loss: 3.360038E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.472 | TFLOPs: 24.77 |
7:  iteration    25020/   37905 | consumed samples:      6405120 | consumed tokens:  13117685760 | elapsed time per iteration (s): 0.24 | learning rate: 6.748E-06 | global batch size:   256 | lm loss: 3.359944E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.603 | TFLOPs: 27.71 |
7:  iteration    25030/   37905 | consumed samples:      6407680 | consumed tokens:  13122928640 | elapsed time per iteration (s): 0.24 | learning rate: 6.741E-06 | global batch size:   256 | lm loss: 3.367469E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.334 | TFLOPs: 27.14 |
7:  iteration    25040/   37905 | consumed samples:      6410240 | consumed tokens:  13128171520 | elapsed time per iteration (s): 0.23 | learning rate: 6.735E-06 | global batch size:   256 | lm loss: 3.376355E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.500 | TFLOPs: 27.93 |
7:  iteration    25050/   37905 | consumed samples:      6412800 | consumed tokens:  13133414400 | elapsed time per iteration (s): 0.24 | learning rate: 6.728E-06 | global batch size:   256 | lm loss: 3.390346E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.256 | TFLOPs: 27.19 |
7:  iteration    25060/   37905 | consumed samples:      6415360 | consumed tokens:  13138657280 | elapsed time per iteration (s): 0.23 | learning rate: 6.721E-06 | global batch size:   256 | lm loss: 3.367428E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.721 | TFLOPs: 28.70 |
7:  iteration    25070/   37905 | consumed samples:      6417920 | consumed tokens:  13143900160 | elapsed time per iteration (s): 0.23 | learning rate: 6.715E-06 | global batch size:   256 | lm loss: 3.357072E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.126 | TFLOPs: 27.97 |
7:  iteration    25080/   37905 | consumed samples:      6420480 | consumed tokens:  13149143040 | elapsed time per iteration (s): 0.23 | learning rate: 6.708E-06 | global batch size:   256 | lm loss: 3.389760E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.232 | TFLOPs: 28.59 |
7:  iteration    25090/   37905 | consumed samples:      6423040 | consumed tokens:  13154385920 | elapsed time per iteration (s): 0.26 | learning rate: 6.701E-06 | global batch size:   256 | lm loss: 3.371881E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.066 | TFLOPs: 25.25 |
7:  iteration    25100/   37905 | consumed samples:      6425600 | consumed tokens:  13159628800 | elapsed time per iteration (s): 0.23 | learning rate: 6.695E-06 | global batch size:   256 | lm loss: 3.378425E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.593 | TFLOPs: 28.39 |
7:  iteration    25110/   37905 | consumed samples:      6428160 | consumed tokens:  13164871680 | elapsed time per iteration (s): 0.24 | learning rate: 6.688E-06 | global batch size:   256 | lm loss: 3.365120E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.205 | TFLOPs: 27.21 |
7:  iteration    25120/   37905 | consumed samples:      6430720 | consumed tokens:  13170114560 | elapsed time per iteration (s): 0.25 | learning rate: 6.682E-06 | global batch size:   256 | lm loss: 3.337197E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.004 | TFLOPs: 26.21 |
7:  iteration    25130/   37905 | consumed samples:      6433280 | consumed tokens:  13175357440 | elapsed time per iteration (s): 0.25 | learning rate: 6.675E-06 | global batch size:   256 | lm loss: 3.367159E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.814 | TFLOPs: 25.98 |
7:  iteration    25140/   37905 | consumed samples:      6435840 | consumed tokens:  13180600320 | elapsed time per iteration (s): 0.23 | learning rate: 6.668E-06 | global batch size:   256 | lm loss: 3.357239E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.621 | TFLOPs: 28.19 |
7:  iteration    25150/   37905 | consumed samples:      6438400 | consumed tokens:  13185843200 | elapsed time per iteration (s): 0.23 | learning rate: 6.662E-06 | global batch size:   256 | lm loss: 3.390360E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.345 | TFLOPs: 28.69 |
7:  iteration    25160/   37905 | consumed samples:      6440960 | consumed tokens:  13191086080 | elapsed time per iteration (s): 0.24 | learning rate: 6.655E-06 | global batch size:   256 | lm loss: 3.394962E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.009 | TFLOPs: 27.56 |
7:  iteration    25170/   37905 | consumed samples:      6443520 | consumed tokens:  13196328960 | elapsed time per iteration (s): 0.24 | learning rate: 6.649E-06 | global batch size:   256 | lm loss: 3.372478E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.767 | TFLOPs: 27.38 |
7:  iteration    25180/   37905 | consumed samples:      6446080 | consumed tokens:  13201571840 | elapsed time per iteration (s): 0.26 | learning rate: 6.642E-06 | global batch size:   256 | lm loss: 3.349924E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.782 | TFLOPs: 25.09 |
7:  iteration    25190/   37905 | consumed samples:      6448640 | consumed tokens:  13206814720 | elapsed time per iteration (s): 0.23 | learning rate: 6.635E-06 | global batch size:   256 | lm loss: 3.386614E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.665 | TFLOPs: 28.50 |
7:  iteration    25200/   37905 | consumed samples:      6451200 | consumed tokens:  13212057600 | elapsed time per iteration (s): 0.25 | learning rate: 6.629E-06 | global batch size:   256 | lm loss: 3.373517E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.290 | TFLOPs: 25.61 |
7:  iteration    25210/   37905 | consumed samples:      6453760 | consumed tokens:  13217300480 | elapsed time per iteration (s): 0.23 | learning rate: 6.622E-06 | global batch size:   256 | lm loss: 3.377414E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.808 | TFLOPs: 28.53 |
7:  iteration    25220/   37905 | consumed samples:      6456320 | consumed tokens:  13222543360 | elapsed time per iteration (s): 0.23 | learning rate: 6.616E-06 | global batch size:   256 | lm loss: 3.389299E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.874 | TFLOPs: 28.30 |
7:  iteration    25230/   37905 | consumed samples:      6458880 | consumed tokens:  13227786240 | elapsed time per iteration (s): 0.26 | learning rate: 6.609E-06 | global batch size:   256 | lm loss: 3.351233E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.480 | TFLOPs: 25.05 |
7:  iteration    25240/   37905 | consumed samples:      6461440 | consumed tokens:  13233029120 | elapsed time per iteration (s): 0.23 | learning rate: 6.602E-06 | global batch size:   256 | lm loss: 3.369090E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.393 | TFLOPs: 28.39 |
7:  iteration    25250/   37905 | consumed samples:      6464000 | consumed tokens:  13238272000 | elapsed time per iteration (s): 0.25 | learning rate: 6.596E-06 | global batch size:   256 | lm loss: 3.358578E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.204 | TFLOPs: 26.17 |
7:  iteration    25260/   37905 | consumed samples:      6466560 | consumed tokens:  13243514880 | elapsed time per iteration (s): 0.23 | learning rate: 6.589E-06 | global batch size:   256 | lm loss: 3.359957E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.038 | TFLOPs: 28.51 |
7:  iteration    25270/   37905 | consumed samples:      6469120 | consumed tokens:  13248757760 | elapsed time per iteration (s): 0.25 | learning rate: 6.583E-06 | global batch size:   256 | lm loss: 3.393339E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.787 | TFLOPs: 26.44 |
7:  iteration    25280/   37905 | consumed samples:      6471680 | consumed tokens:  13254000640 | elapsed time per iteration (s): 0.23 | learning rate: 6.576E-06 | global batch size:   256 | lm loss: 3.385943E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.234 | TFLOPs: 28.13 |
7:  iteration    25290/   37905 | consumed samples:      6474240 | consumed tokens:  13259243520 | elapsed time per iteration (s): 0.27 | learning rate: 6.570E-06 | global batch size:   256 | lm loss: 3.305340E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.882 | TFLOPs: 24.43 |
7:  iteration    25300/   37905 | consumed samples:      6476800 | consumed tokens:  13264486400 | elapsed time per iteration (s): 0.23 | learning rate: 6.563E-06 | global batch size:   256 | lm loss: 3.370755E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.638 | TFLOPs: 28.68 |
7:  iteration    25310/   37905 | consumed samples:      6479360 | consumed tokens:  13269729280 | elapsed time per iteration (s): 0.25 | learning rate: 6.556E-06 | global batch size:   256 | lm loss: 3.359039E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.986 | TFLOPs: 26.26 |
7:  iteration    25320/   37905 | consumed samples:      6481920 | consumed tokens:  13274972160 | elapsed time per iteration (s): 0.23 | learning rate: 6.550E-06 | global batch size:   256 | lm loss: 3.360596E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.489 | TFLOPs: 28.47 |
7:  iteration    25330/   37905 | consumed samples:      6484480 | consumed tokens:  13280215040 | elapsed time per iteration (s): 0.23 | learning rate: 6.543E-06 | global batch size:   256 | lm loss: 3.370308E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.130 | TFLOPs: 28.31 |
7:  iteration    25340/   37905 | consumed samples:      6487040 | consumed tokens:  13285457920 | elapsed time per iteration (s): 0.26 | learning rate: 6.537E-06 | global batch size:   256 | lm loss: 3.373909E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.594 | TFLOPs: 25.44 |
7:  iteration    25350/   37905 | consumed samples:      6489600 | consumed tokens:  13290700800 | elapsed time per iteration (s): 0.23 | learning rate: 6.530E-06 | global batch size:   256 | lm loss: 3.355848E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.456 | TFLOPs: 28.59 |
7:  iteration    25360/   37905 | consumed samples:      6492160 | consumed tokens:  13295943680 | elapsed time per iteration (s): 0.26 | learning rate: 6.524E-06 | global batch size:   256 | lm loss: 3.365048E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.833 | TFLOPs: 25.45 |
7:  iteration    25370/   37905 | consumed samples:      6494720 | consumed tokens:  13301186560 | elapsed time per iteration (s): 0.23 | learning rate: 6.517E-06 | global batch size:   256 | lm loss: 3.343363E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.749 | TFLOPs: 28.25 |
7:  iteration    25380/   37905 | consumed samples:      6497280 | consumed tokens:  13306429440 | elapsed time per iteration (s): 0.24 | learning rate: 6.511E-06 | global batch size:   256 | lm loss: 3.384773E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.234 | TFLOPs: 27.57 |
7:  iteration    25390/   37905 | consumed samples:      6499840 | consumed tokens:  13311672320 | elapsed time per iteration (s): 0.23 | learning rate: 6.504E-06 | global batch size:   256 | lm loss: 3.405929E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.524 | TFLOPs: 27.86 |
7:  iteration    25400/   37905 | consumed samples:      6502400 | consumed tokens:  13316915200 | elapsed time per iteration (s): 0.23 | learning rate: 6.498E-06 | global batch size:   256 | lm loss: 3.378246E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.761 | TFLOPs: 28.73 |
7:  iteration    25410/   37905 | consumed samples:      6504960 | consumed tokens:  13322158080 | elapsed time per iteration (s): 0.25 | learning rate: 6.491E-06 | global batch size:   256 | lm loss: 3.337081E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.264 | TFLOPs: 25.97 |
7:  iteration    25420/   37905 | consumed samples:      6507520 | consumed tokens:  13327400960 | elapsed time per iteration (s): 0.23 | learning rate: 6.485E-06 | global batch size:   256 | lm loss: 3.338766E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.909 | TFLOPs: 28.43 |
7:  iteration    25430/   37905 | consumed samples:      6510080 | consumed tokens:  13332643840 | elapsed time per iteration (s): 0.24 | learning rate: 6.478E-06 | global batch size:   256 | lm loss: 3.387150E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1078.160 | TFLOPs: 27.47 |
7:  iteration    25440/   37905 | consumed samples:      6512640 | consumed tokens:  13337886720 | elapsed time per iteration (s): 0.27 | learning rate: 6.472E-06 | global batch size:   256 | lm loss: 3.357403E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.828 | TFLOPs: 24.50 |
7:  iteration    25450/   37905 | consumed samples:      6515200 | consumed tokens:  13343129600 | elapsed time per iteration (s): 0.25 | learning rate: 6.465E-06 | global batch size:   256 | lm loss: 3.354906E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.368 | TFLOPs: 26.58 |
7:  iteration    25460/   37905 | consumed samples:      6517760 | consumed tokens:  13348372480 | elapsed time per iteration (s): 0.23 | learning rate: 6.459E-06 | global batch size:   256 | lm loss: 3.393984E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.832 | TFLOPs: 27.81 |
7:  iteration    25470/   37905 | consumed samples:      6520320 | consumed tokens:  13353615360 | elapsed time per iteration (s): 0.23 | learning rate: 6.452E-06 | global batch size:   256 | lm loss: 3.368420E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.325 | TFLOPs: 28.26 |
7:  iteration    25480/   37905 | consumed samples:      6522880 | consumed tokens:  13358858240 | elapsed time per iteration (s): 0.24 | learning rate: 6.446E-06 | global batch size:   256 | lm loss: 3.374481E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.546 | TFLOPs: 27.65 |
7:  iteration    25490/   37905 | consumed samples:      6525440 | consumed tokens:  13364101120 | elapsed time per iteration (s): 0.23 | learning rate: 6.439E-06 | global batch size:   256 | lm loss: 3.341348E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.014 | TFLOPs: 27.90 |
7:  iteration    25500/   37905 | consumed samples:      6528000 | consumed tokens:  13369344000 | elapsed time per iteration (s): 0.23 | learning rate: 6.433E-06 | global batch size:   256 | lm loss: 3.365942E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1096.591 | TFLOPs: 27.94 |
7:  iteration    25510/   37905 | consumed samples:      6530560 | consumed tokens:  13374586880 | elapsed time per iteration (s): 0.23 | learning rate: 6.426E-06 | global batch size:   256 | lm loss: 3.329151E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.969 | TFLOPs: 28.68 |
7:  iteration    25520/   37905 | consumed samples:      6533120 | consumed tokens:  13379829760 | elapsed time per iteration (s): 0.23 | learning rate: 6.420E-06 | global batch size:   256 | lm loss: 3.352799E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.310 | TFLOPs: 28.64 |
7:  iteration    25530/   37905 | consumed samples:      6535680 | consumed tokens:  13385072640 | elapsed time per iteration (s): 0.24 | learning rate: 6.413E-06 | global batch size:   256 | lm loss: 3.377398E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.187 | TFLOPs: 27.03 |
7:  iteration    25540/   37905 | consumed samples:      6538240 | consumed tokens:  13390315520 | elapsed time per iteration (s): 0.23 | learning rate: 6.407E-06 | global batch size:   256 | lm loss: 3.362407E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.749 | TFLOPs: 28.47 |
7:  iteration    25550/   37905 | consumed samples:      6540800 | consumed tokens:  13395558400 | elapsed time per iteration (s): 0.24 | learning rate: 6.400E-06 | global batch size:   256 | lm loss: 3.363453E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.375 | TFLOPs: 27.17 |
7:  iteration    25560/   37905 | consumed samples:      6543360 | consumed tokens:  13400801280 | elapsed time per iteration (s): 0.23 | learning rate: 6.394E-06 | global batch size:   256 | lm loss: 3.376291E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.417 | TFLOPs: 27.98 |
7:  iteration    25570/   37905 | consumed samples:      6545920 | consumed tokens:  13406044160 | elapsed time per iteration (s): 0.25 | learning rate: 6.387E-06 | global batch size:   256 | lm loss: 3.351167E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.510 | TFLOPs: 26.07 |
7:  iteration    25580/   37905 | consumed samples:      6548480 | consumed tokens:  13411287040 | elapsed time per iteration (s): 0.24 | learning rate: 6.381E-06 | global batch size:   256 | lm loss: 3.340105E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.794 | TFLOPs: 27.28 |
7:  iteration    25590/   37905 | consumed samples:      6551040 | consumed tokens:  13416529920 | elapsed time per iteration (s): 0.25 | learning rate: 6.374E-06 | global batch size:   256 | lm loss: 3.348102E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1014.001 | TFLOPs: 25.83 |
7:  iteration    25600/   37905 | consumed samples:      6553600 | consumed tokens:  13421772800 | elapsed time per iteration (s): 0.26 | learning rate: 6.368E-06 | global batch size:   256 | lm loss: 3.341677E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.387 | TFLOPs: 25.20 |
7:  iteration    25610/   37905 | consumed samples:      6556160 | consumed tokens:  13427015680 | elapsed time per iteration (s): 0.23 | learning rate: 6.361E-06 | global batch size:   256 | lm loss: 3.363558E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.379 | TFLOPs: 28.03 |
7:  iteration    25620/   37905 | consumed samples:      6558720 | consumed tokens:  13432258560 | elapsed time per iteration (s): 0.23 | learning rate: 6.355E-06 | global batch size:   256 | lm loss: 3.397217E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.670 | TFLOPs: 28.22 |
7:  iteration    25630/   37905 | consumed samples:      6561280 | consumed tokens:  13437501440 | elapsed time per iteration (s): 0.24 | learning rate: 6.348E-06 | global batch size:   256 | lm loss: 3.396403E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1050.143 | TFLOPs: 26.75 |
7:  iteration    25640/   37905 | consumed samples:      6563840 | consumed tokens:  13442744320 | elapsed time per iteration (s): 0.23 | learning rate: 6.342E-06 | global batch size:   256 | lm loss: 3.361073E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.106 | TFLOPs: 28.28 |
7:  iteration    25650/   37905 | consumed samples:      6566400 | consumed tokens:  13447987200 | elapsed time per iteration (s): 0.24 | learning rate: 6.336E-06 | global batch size:   256 | lm loss: 3.377808E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.732 | TFLOPs: 26.97 |
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7:  iteration    25910/   37905 | consumed samples:      6632960 | consumed tokens:  13584302080 | elapsed time per iteration (s): 0.24 | learning rate: 6.169E-06 | global batch size:   256 | lm loss: 3.378181E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.432 | TFLOPs: 26.99 |
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7:  iteration    25940/   37905 | consumed samples:      6640640 | consumed tokens:  13600030720 | elapsed time per iteration (s): 0.23 | learning rate: 6.150E-06 | global batch size:   256 | lm loss: 3.352187E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.857 | TFLOPs: 27.92 |
7:  iteration    25950/   37905 | consumed samples:      6643200 | consumed tokens:  13605273600 | elapsed time per iteration (s): 0.23 | learning rate: 6.144E-06 | global batch size:   256 | lm loss: 3.378914E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.927 | TFLOPs: 28.17 |
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7:  iteration    25970/   37905 | consumed samples:      6648320 | consumed tokens:  13615759360 | elapsed time per iteration (s): 0.24 | learning rate: 6.131E-06 | global batch size:   256 | lm loss: 3.370126E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.394 | TFLOPs: 27.32 |
7:  iteration    25980/   37905 | consumed samples:      6650880 | consumed tokens:  13621002240 | elapsed time per iteration (s): 0.23 | learning rate: 6.125E-06 | global batch size:   256 | lm loss: 3.338096E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.683 | TFLOPs: 28.58 |
7:  iteration    25990/   37905 | consumed samples:      6653440 | consumed tokens:  13626245120 | elapsed time per iteration (s): 0.25 | learning rate: 6.118E-06 | global batch size:   256 | lm loss: 3.383989E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.954 | TFLOPs: 26.44 |
0: [2022-11-28 17:05:08,297] [INFO] [logging.py:68:log_dist] [Rank 0] step=26000, skipped=0, lr=[6.1120568974072875e-06, 6.1120568974072875e-06, 6.1120568974072875e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    26000/   37905 | consumed samples:      6656000 | consumed tokens:  13631488000 | elapsed time per iteration (s): 0.24 | learning rate: 6.112E-06 | global batch size:   256 | lm loss: 3.383159E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1079.246 | TFLOPs: 27.49 |
0: steps: 26000 loss: 3.4156 iter time (s): 0.238 samples/sec: 1074.707
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 26000 | lm loss value: 3.197374E+00 | lm loss PPL: 2.446819E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   26000 to checkpoints_83slr
0: [2022-11-28 17:05:08,386] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step26000 is begin to save!
0: [2022-11-28 17:05:08,389] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step26000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 17:05:08,572] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step26000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 17:05:08,574] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step26000/mp_rank_00_model_states.pt
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0: [2022-11-28 17:05:08,593] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step26000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:05:08,593] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step26000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
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1: [2022-11-28 17:05:08,621] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt
2: [2022-11-28 17:05:08,621] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:05:08,621] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now!
2: [2022-11-28 17:05:08,621] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
2: [2022-11-28 17:05:08,621] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now!
3: [2022-11-28 17:05:08,622] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:05:08,622] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
3: [2022-11-28 17:05:08,622] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now!
1: [2022-11-28 17:05:08,622] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:05:08,622] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:05:08,622] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt
6: [2022-11-28 17:05:08,622] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
1: [2022-11-28 17:05:08,622] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now!
6: [2022-11-28 17:05:08,623] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now!
3: [2022-11-28 17:05:08,623] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:05:08,623] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step26000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
3: [2022-11-28 17:05:08,623] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now!
0:   successfully saved checkpoint at iteration   26000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 241.22
7:  iteration    26010/   37905 | consumed samples:      6658560 | consumed tokens:  13636730880 | elapsed time per iteration (s): 0.26 | learning rate: 6.106E-06 | global batch size:   256 | lm loss: 3.341370E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.963 | TFLOPs: 25.22 |
7:  iteration    26020/   37905 | consumed samples:      6661120 | consumed tokens:  13641973760 | elapsed time per iteration (s): 0.24 | learning rate: 6.099E-06 | global batch size:   256 | lm loss: 3.360028E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1080.804 | TFLOPs: 27.53 |
7:  iteration    26030/   37905 | consumed samples:      6663680 | consumed tokens:  13647216640 | elapsed time per iteration (s): 0.23 | learning rate: 6.093E-06 | global batch size:   256 | lm loss: 3.395699E+00 | grad norm: 0.595 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.631 | TFLOPs: 28.47 |
7:  iteration    26040/   37905 | consumed samples:      6666240 | consumed tokens:  13652459520 | elapsed time per iteration (s): 0.25 | learning rate: 6.087E-06 | global batch size:   256 | lm loss: 3.345885E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.238 | TFLOPs: 25.99 |
7:  iteration    26050/   37905 | consumed samples:      6668800 | consumed tokens:  13657702400 | elapsed time per iteration (s): 0.23 | learning rate: 6.080E-06 | global batch size:   256 | lm loss: 3.366382E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.991 | TFLOPs: 28.51 |
7:  iteration    26060/   37905 | consumed samples:      6671360 | consumed tokens:  13662945280 | elapsed time per iteration (s): 0.23 | learning rate: 6.074E-06 | global batch size:   256 | lm loss: 3.407070E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.496 | TFLOPs: 27.76 |
7:  iteration    26070/   37905 | consumed samples:      6673920 | consumed tokens:  13668188160 | elapsed time per iteration (s): 0.24 | learning rate: 6.068E-06 | global batch size:   256 | lm loss: 3.357588E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.339 | TFLOPs: 27.27 |
7:  iteration    26080/   37905 | consumed samples:      6676480 | consumed tokens:  13673431040 | elapsed time per iteration (s): 0.23 | learning rate: 6.062E-06 | global batch size:   256 | lm loss: 3.367710E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.054 | TFLOPs: 28.41 |
7:  iteration    26090/   37905 | consumed samples:      6679040 | consumed tokens:  13678673920 | elapsed time per iteration (s): 0.25 | learning rate: 6.055E-06 | global batch size:   256 | lm loss: 3.343579E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.573 | TFLOPs: 26.43 |
7:  iteration    26100/   37905 | consumed samples:      6681600 | consumed tokens:  13683916800 | elapsed time per iteration (s): 0.23 | learning rate: 6.049E-06 | global batch size:   256 | lm loss: 3.370016E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.639 | TFLOPs: 28.52 |
7:  iteration    26110/   37905 | consumed samples:      6684160 | consumed tokens:  13689159680 | elapsed time per iteration (s): 0.24 | learning rate: 6.043E-06 | global batch size:   256 | lm loss: 3.381155E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.241 | TFLOPs: 26.88 |
7:  iteration    26120/   37905 | consumed samples:      6686720 | consumed tokens:  13694402560 | elapsed time per iteration (s): 0.23 | learning rate: 6.036E-06 | global batch size:   256 | lm loss: 3.371452E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.740 | TFLOPs: 28.35 |
7:  iteration    26130/   37905 | consumed samples:      6689280 | consumed tokens:  13699645440 | elapsed time per iteration (s): 0.24 | learning rate: 6.030E-06 | global batch size:   256 | lm loss: 3.361193E+00 | grad norm: 0.573 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.579 | TFLOPs: 26.99 |
7:  iteration    26140/   37905 | consumed samples:      6691840 | consumed tokens:  13704888320 | elapsed time per iteration (s): 0.25 | learning rate: 6.024E-06 | global batch size:   256 | lm loss: 3.352309E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.499 | TFLOPs: 26.02 |
7:  iteration    26150/   37905 | consumed samples:      6694400 | consumed tokens:  13710131200 | elapsed time per iteration (s): 0.23 | learning rate: 6.018E-06 | global batch size:   256 | lm loss: 3.344007E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.839 | TFLOPs: 28.32 |
7:  iteration    26160/   37905 | consumed samples:      6696960 | consumed tokens:  13715374080 | elapsed time per iteration (s): 0.23 | learning rate: 6.011E-06 | global batch size:   256 | lm loss: 3.321707E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.388 | TFLOPs: 28.69 |
7:  iteration    26170/   37905 | consumed samples:      6699520 | consumed tokens:  13720616960 | elapsed time per iteration (s): 0.25 | learning rate: 6.005E-06 | global batch size:   256 | lm loss: 3.347958E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.803 | TFLOPs: 26.16 |
7:  iteration    26180/   37905 | consumed samples:      6702080 | consumed tokens:  13725859840 | elapsed time per iteration (s): 0.23 | learning rate: 5.999E-06 | global batch size:   256 | lm loss: 3.351284E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.288 | TFLOPs: 28.64 |
7:  iteration    26190/   37905 | consumed samples:      6704640 | consumed tokens:  13731102720 | elapsed time per iteration (s): 0.24 | learning rate: 5.992E-06 | global batch size:   256 | lm loss: 3.358148E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1056.614 | TFLOPs: 26.92 |
7:  iteration    26200/   37905 | consumed samples:      6707200 | consumed tokens:  13736345600 | elapsed time per iteration (s): 0.25 | learning rate: 5.986E-06 | global batch size:   256 | lm loss: 3.375991E+00 | grad norm: 0.573 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.470 | TFLOPs: 25.64 |
7:  iteration    26210/   37905 | consumed samples:      6709760 | consumed tokens:  13741588480 | elapsed time per iteration (s): 0.24 | learning rate: 5.980E-06 | global batch size:   256 | lm loss: 3.377757E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.261 | TFLOPs: 27.04 |
7:  iteration    26220/   37905 | consumed samples:      6712320 | consumed tokens:  13746831360 | elapsed time per iteration (s): 0.23 | learning rate: 5.974E-06 | global batch size:   256 | lm loss: 3.392746E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.956 | TFLOPs: 28.53 |
7:  iteration    26230/   37905 | consumed samples:      6714880 | consumed tokens:  13752074240 | elapsed time per iteration (s): 0.23 | learning rate: 5.967E-06 | global batch size:   256 | lm loss: 3.354348E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.886 | TFLOPs: 27.77 |
7:  iteration    26240/   37905 | consumed samples:      6717440 | consumed tokens:  13757317120 | elapsed time per iteration (s): 0.25 | learning rate: 5.961E-06 | global batch size:   256 | lm loss: 3.347653E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.775 | TFLOPs: 26.56 |
7:  iteration    26250/   37905 | consumed samples:      6720000 | consumed tokens:  13762560000 | elapsed time per iteration (s): 0.23 | learning rate: 5.955E-06 | global batch size:   256 | lm loss: 3.352006E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.683 | TFLOPs: 28.63 |
7:  iteration    26260/   37905 | consumed samples:      6722560 | consumed tokens:  13767802880 | elapsed time per iteration (s): 0.23 | learning rate: 5.949E-06 | global batch size:   256 | lm loss: 3.348238E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.055 | TFLOPs: 28.08 |
7:  iteration    26270/   37905 | consumed samples:      6725120 | consumed tokens:  13773045760 | elapsed time per iteration (s): 0.25 | learning rate: 5.943E-06 | global batch size:   256 | lm loss: 3.344897E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.012 | TFLOPs: 25.76 |
7:  iteration    26280/   37905 | consumed samples:      6727680 | consumed tokens:  13778288640 | elapsed time per iteration (s): 0.23 | learning rate: 5.936E-06 | global batch size:   256 | lm loss: 3.360197E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.806 | TFLOPs: 27.84 |
7:  iteration    26290/   37905 | consumed samples:      6730240 | consumed tokens:  13783531520 | elapsed time per iteration (s): 0.23 | learning rate: 5.930E-06 | global batch size:   256 | lm loss: 3.380546E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.857 | TFLOPs: 28.35 |
7:  iteration    26300/   37905 | consumed samples:      6732800 | consumed tokens:  13788774400 | elapsed time per iteration (s): 0.24 | learning rate: 5.924E-06 | global batch size:   256 | lm loss: 3.360945E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.390 | TFLOPs: 27.22 |
7:  iteration    26310/   37905 | consumed samples:      6735360 | consumed tokens:  13794017280 | elapsed time per iteration (s): 0.24 | learning rate: 5.918E-06 | global batch size:   256 | lm loss: 3.366428E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.679 | TFLOPs: 27.71 |
7:  iteration    26320/   37905 | consumed samples:      6737920 | consumed tokens:  13799260160 | elapsed time per iteration (s): 0.24 | learning rate: 5.911E-06 | global batch size:   256 | lm loss: 3.368039E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.895 | TFLOPs: 27.33 |
7:  iteration    26330/   37905 | consumed samples:      6740480 | consumed tokens:  13804503040 | elapsed time per iteration (s): 0.23 | learning rate: 5.905E-06 | global batch size:   256 | lm loss: 3.405547E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.560 | TFLOPs: 28.67 |
7:  iteration    26340/   37905 | consumed samples:      6743040 | consumed tokens:  13809745920 | elapsed time per iteration (s): 0.23 | learning rate: 5.899E-06 | global batch size:   256 | lm loss: 3.387177E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.550 | TFLOPs: 28.60 |
7:  iteration    26350/   37905 | consumed samples:      6745600 | consumed tokens:  13814988800 | elapsed time per iteration (s): 0.25 | learning rate: 5.893E-06 | global batch size:   256 | lm loss: 3.364032E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.810 | TFLOPs: 26.31 |
7:  iteration    26360/   37905 | consumed samples:      6748160 | consumed tokens:  13820231680 | elapsed time per iteration (s): 0.23 | learning rate: 5.887E-06 | global batch size:   256 | lm loss: 3.314464E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.749 | TFLOPs: 28.58 |
7:  iteration    26370/   37905 | consumed samples:      6750720 | consumed tokens:  13825474560 | elapsed time per iteration (s): 0.25 | learning rate: 5.880E-06 | global batch size:   256 | lm loss: 3.373951E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.871 | TFLOPs: 25.83 |
7:  iteration    26380/   37905 | consumed samples:      6753280 | consumed tokens:  13830717440 | elapsed time per iteration (s): 0.25 | learning rate: 5.874E-06 | global batch size:   256 | lm loss: 3.378694E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.402 | TFLOPs: 26.48 |
7:  iteration    26390/   37905 | consumed samples:      6755840 | consumed tokens:  13835960320 | elapsed time per iteration (s): 0.23 | learning rate: 5.868E-06 | global batch size:   256 | lm loss: 3.393612E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.259 | TFLOPs: 28.36 |
7:  iteration    26400/   37905 | consumed samples:      6758400 | consumed tokens:  13841203200 | elapsed time per iteration (s): 0.24 | learning rate: 5.862E-06 | global batch size:   256 | lm loss: 3.347763E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.184 | TFLOPs: 26.86 |
7:  iteration    26410/   37905 | consumed samples:      6760960 | consumed tokens:  13846446080 | elapsed time per iteration (s): 0.23 | learning rate: 5.856E-06 | global batch size:   256 | lm loss: 3.389196E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.586 | TFLOPs: 28.62 |
7:  iteration    26420/   37905 | consumed samples:      6763520 | consumed tokens:  13851688960 | elapsed time per iteration (s): 0.24 | learning rate: 5.849E-06 | global batch size:   256 | lm loss: 3.342464E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.059 | TFLOPs: 27.69 |
7:  iteration    26430/   37905 | consumed samples:      6766080 | consumed tokens:  13856931840 | elapsed time per iteration (s): 0.23 | learning rate: 5.843E-06 | global batch size:   256 | lm loss: 3.305084E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.662 | TFLOPs: 28.63 |
7:  iteration    26440/   37905 | consumed samples:      6768640 | consumed tokens:  13862174720 | elapsed time per iteration (s): 0.28 | learning rate: 5.837E-06 | global batch size:   256 | lm loss: 3.431019E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.230 | TFLOPs: 23.62 |
7:  iteration    26450/   37905 | consumed samples:      6771200 | consumed tokens:  13867417600 | elapsed time per iteration (s): 0.23 | learning rate: 5.831E-06 | global batch size:   256 | lm loss: 3.350045E+00 | grad norm: 0.602 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.336 | TFLOPs: 28.57 |
7:  iteration    26460/   37905 | consumed samples:      6773760 | consumed tokens:  13872660480 | elapsed time per iteration (s): 0.25 | learning rate: 5.825E-06 | global batch size:   256 | lm loss: 3.361653E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.979 | TFLOPs: 26.24 |
7:  iteration    26470/   37905 | consumed samples:      6776320 | consumed tokens:  13877903360 | elapsed time per iteration (s): 0.23 | learning rate: 5.819E-06 | global batch size:   256 | lm loss: 3.351823E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.803 | TFLOPs: 28.12 |
7:  iteration    26480/   37905 | consumed samples:      6778880 | consumed tokens:  13883146240 | elapsed time per iteration (s): 0.23 | learning rate: 5.812E-06 | global batch size:   256 | lm loss: 3.348851E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.683 | TFLOPs: 28.32 |
7:  iteration    26490/   37905 | consumed samples:      6781440 | consumed tokens:  13888389120 | elapsed time per iteration (s): 0.25 | learning rate: 5.806E-06 | global batch size:   256 | lm loss: 3.340144E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.181 | TFLOPs: 25.66 |
7:  iteration    26500/   37905 | consumed samples:      6784000 | consumed tokens:  13893632000 | elapsed time per iteration (s): 0.23 | learning rate: 5.800E-06 | global batch size:   256 | lm loss: 3.367977E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.229 | TFLOPs: 28.72 |
7:  iteration    26510/   37905 | consumed samples:      6786560 | consumed tokens:  13898874880 | elapsed time per iteration (s): 0.29 | learning rate: 5.794E-06 | global batch size:   256 | lm loss: 3.371928E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.012 | TFLOPs: 22.85 |
7:  iteration    26520/   37905 | consumed samples:      6789120 | consumed tokens:  13904117760 | elapsed time per iteration (s): 0.23 | learning rate: 5.788E-06 | global batch size:   256 | lm loss: 3.366642E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.846 | TFLOPs: 28.55 |
7:  iteration    26530/   37905 | consumed samples:      6791680 | consumed tokens:  13909360640 | elapsed time per iteration (s): 0.24 | learning rate: 5.782E-06 | global batch size:   256 | lm loss: 3.367546E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.486 | TFLOPs: 27.40 |
7:  iteration    26540/   37905 | consumed samples:      6794240 | consumed tokens:  13914603520 | elapsed time per iteration (s): 0.24 | learning rate: 5.776E-06 | global batch size:   256 | lm loss: 3.337477E+00 | grad norm: 0.591 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.109 | TFLOPs: 26.70 |
7:  iteration    26550/   37905 | consumed samples:      6796800 | consumed tokens:  13919846400 | elapsed time per iteration (s): 0.23 | learning rate: 5.769E-06 | global batch size:   256 | lm loss: 3.390404E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1128.169 | TFLOPs: 28.74 |
7:  iteration    26560/   37905 | consumed samples:      6799360 | consumed tokens:  13925089280 | elapsed time per iteration (s): 0.29 | learning rate: 5.763E-06 | global batch size:   256 | lm loss: 3.360062E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 868.284 | TFLOPs: 22.12 |
7:  iteration    26570/   37905 | consumed samples:      6801920 | consumed tokens:  13930332160 | elapsed time per iteration (s): 0.26 | learning rate: 5.757E-06 | global batch size:   256 | lm loss: 3.319389E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.514 | TFLOPs: 24.77 |
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7:  iteration    26660/   37905 | consumed samples:      6824960 | consumed tokens:  13977518080 | elapsed time per iteration (s): 0.23 | learning rate: 5.702E-06 | global batch size:   256 | lm loss: 3.336294E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.661 | TFLOPs: 28.35 |
7:  iteration    26670/   37905 | consumed samples:      6827520 | consumed tokens:  13982760960 | elapsed time per iteration (s): 0.23 | learning rate: 5.696E-06 | global batch size:   256 | lm loss: 3.384866E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.126 | TFLOPs: 28.41 |
7:  iteration    26680/   37905 | consumed samples:      6830080 | consumed tokens:  13988003840 | elapsed time per iteration (s): 0.24 | learning rate: 5.690E-06 | global batch size:   256 | lm loss: 3.400593E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.385 | TFLOPs: 27.65 |
7:  iteration    26690/   37905 | consumed samples:      6832640 | consumed tokens:  13993246720 | elapsed time per iteration (s): 0.25 | learning rate: 5.684E-06 | global batch size:   256 | lm loss: 3.335411E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.696 | TFLOPs: 26.54 |
7:  iteration    26700/   37905 | consumed samples:      6835200 | consumed tokens:  13998489600 | elapsed time per iteration (s): 0.23 | learning rate: 5.678E-06 | global batch size:   256 | lm loss: 3.375014E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.832 | TFLOPs: 28.38 |
7:  iteration    26710/   37905 | consumed samples:      6837760 | consumed tokens:  14003732480 | elapsed time per iteration (s): 0.24 | learning rate: 5.672E-06 | global batch size:   256 | lm loss: 3.340730E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.964 | TFLOPs: 26.80 |
7:  iteration    26720/   37905 | consumed samples:      6840320 | consumed tokens:  14008975360 | elapsed time per iteration (s): 0.23 | learning rate: 5.666E-06 | global batch size:   256 | lm loss: 3.374106E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.775 | TFLOPs: 28.63 |
7:  iteration    26730/   37905 | consumed samples:      6842880 | consumed tokens:  14014218240 | elapsed time per iteration (s): 0.23 | learning rate: 5.660E-06 | global batch size:   256 | lm loss: 3.360057E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.327 | TFLOPs: 28.41 |
7:  iteration    26740/   37905 | consumed samples:      6845440 | consumed tokens:  14019461120 | elapsed time per iteration (s): 0.23 | learning rate: 5.654E-06 | global batch size:   256 | lm loss: 3.349645E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.502 | TFLOPs: 28.24 |
7:  iteration    26750/   37905 | consumed samples:      6848000 | consumed tokens:  14024704000 | elapsed time per iteration (s): 0.23 | learning rate: 5.648E-06 | global batch size:   256 | lm loss: 3.371097E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.953 | TFLOPs: 28.53 |
7:  iteration    26760/   37905 | consumed samples:      6850560 | consumed tokens:  14029946880 | elapsed time per iteration (s): 0.25 | learning rate: 5.641E-06 | global batch size:   256 | lm loss: 3.348800E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.432 | TFLOPs: 25.82 |
7:  iteration    26770/   37905 | consumed samples:      6853120 | consumed tokens:  14035189760 | elapsed time per iteration (s): 0.23 | learning rate: 5.635E-06 | global batch size:   256 | lm loss: 3.382596E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.318 | TFLOPs: 28.36 |
7:  iteration    26780/   37905 | consumed samples:      6855680 | consumed tokens:  14040432640 | elapsed time per iteration (s): 0.25 | learning rate: 5.629E-06 | global batch size:   256 | lm loss: 3.372367E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.923 | TFLOPs: 26.52 |
7:  iteration    26790/   37905 | consumed samples:      6858240 | consumed tokens:  14045675520 | elapsed time per iteration (s): 0.24 | learning rate: 5.623E-06 | global batch size:   256 | lm loss: 3.329805E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.291 | TFLOPs: 26.96 |
7:  iteration    26800/   37905 | consumed samples:      6860800 | consumed tokens:  14050918400 | elapsed time per iteration (s): 0.23 | learning rate: 5.617E-06 | global batch size:   256 | lm loss: 3.361305E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.202 | TFLOPs: 28.72 |
7:  iteration    26810/   37905 | consumed samples:      6863360 | consumed tokens:  14056161280 | elapsed time per iteration (s): 0.24 | learning rate: 5.611E-06 | global batch size:   256 | lm loss: 3.327549E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.016 | TFLOPs: 27.26 |
7:  iteration    26820/   37905 | consumed samples:      6865920 | consumed tokens:  14061404160 | elapsed time per iteration (s): 0.23 | learning rate: 5.605E-06 | global batch size:   256 | lm loss: 3.351551E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.684 | TFLOPs: 28.07 |
7:  iteration    26830/   37905 | consumed samples:      6868480 | consumed tokens:  14066647040 | elapsed time per iteration (s): 0.26 | learning rate: 5.599E-06 | global batch size:   256 | lm loss: 3.315330E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.565 | TFLOPs: 25.34 |
7:  iteration    26840/   37905 | consumed samples:      6871040 | consumed tokens:  14071889920 | elapsed time per iteration (s): 0.24 | learning rate: 5.593E-06 | global batch size:   256 | lm loss: 3.346761E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.371 | TFLOPs: 27.73 |
7:  iteration    26850/   37905 | consumed samples:      6873600 | consumed tokens:  14077132800 | elapsed time per iteration (s): 0.23 | learning rate: 5.587E-06 | global batch size:   256 | lm loss: 3.362019E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.815 | TFLOPs: 28.37 |
7:  iteration    26860/   37905 | consumed samples:      6876160 | consumed tokens:  14082375680 | elapsed time per iteration (s): 0.24 | learning rate: 5.581E-06 | global batch size:   256 | lm loss: 3.344132E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.138 | TFLOPs: 27.21 |
7:  iteration    26870/   37905 | consumed samples:      6878720 | consumed tokens:  14087618560 | elapsed time per iteration (s): 0.23 | learning rate: 5.575E-06 | global batch size:   256 | lm loss: 3.352039E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.335 | TFLOPs: 28.52 |
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7:  iteration    26890/   37905 | consumed samples:      6883840 | consumed tokens:  14098104320 | elapsed time per iteration (s): 0.23 | learning rate: 5.563E-06 | global batch size:   256 | lm loss: 3.339451E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.348 | TFLOPs: 28.21 |
7:  iteration    26900/   37905 | consumed samples:      6886400 | consumed tokens:  14103347200 | elapsed time per iteration (s): 0.24 | learning rate: 5.557E-06 | global batch size:   256 | lm loss: 3.378840E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.039 | TFLOPs: 27.31 |
7:  iteration    26910/   37905 | consumed samples:      6888960 | consumed tokens:  14108590080 | elapsed time per iteration (s): 0.23 | learning rate: 5.551E-06 | global batch size:   256 | lm loss: 3.322947E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.860 | TFLOPs: 28.22 |
7:  iteration    26920/   37905 | consumed samples:      6891520 | consumed tokens:  14113832960 | elapsed time per iteration (s): 0.25 | learning rate: 5.545E-06 | global batch size:   256 | lm loss: 3.358794E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.172 | TFLOPs: 26.04 |
7:  iteration    26930/   37905 | consumed samples:      6894080 | consumed tokens:  14119075840 | elapsed time per iteration (s): 0.23 | learning rate: 5.539E-06 | global batch size:   256 | lm loss: 3.370914E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.603 | TFLOPs: 28.39 |
7:  iteration    26940/   37905 | consumed samples:      6896640 | consumed tokens:  14124318720 | elapsed time per iteration (s): 0.24 | learning rate: 5.533E-06 | global batch size:   256 | lm loss: 3.355015E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.963 | TFLOPs: 26.75 |
7:  iteration    26950/   37905 | consumed samples:      6899200 | consumed tokens:  14129561600 | elapsed time per iteration (s): 0.25 | learning rate: 5.527E-06 | global batch size:   256 | lm loss: 3.359172E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.330 | TFLOPs: 25.74 |
7:  iteration    26960/   37905 | consumed samples:      6901760 | consumed tokens:  14134804480 | elapsed time per iteration (s): 0.23 | learning rate: 5.521E-06 | global batch size:   256 | lm loss: 3.348598E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.666 | TFLOPs: 28.70 |
7:  iteration    26970/   37905 | consumed samples:      6904320 | consumed tokens:  14140047360 | elapsed time per iteration (s): 0.23 | learning rate: 5.515E-06 | global batch size:   256 | lm loss: 3.333512E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.952 | TFLOPs: 28.68 |
7:  iteration    26980/   37905 | consumed samples:      6906880 | consumed tokens:  14145290240 | elapsed time per iteration (s): 0.25 | learning rate: 5.509E-06 | global batch size:   256 | lm loss: 3.358197E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.155 | TFLOPs: 26.01 |
7:  iteration    26990/   37905 | consumed samples:      6909440 | consumed tokens:  14150533120 | elapsed time per iteration (s): 0.23 | learning rate: 5.503E-06 | global batch size:   256 | lm loss: 3.382047E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.317 | TFLOPs: 28.59 |
7:  iteration    27000/   37905 | consumed samples:      6912000 | consumed tokens:  14155776000 | elapsed time per iteration (s): 0.23 | learning rate: 5.497E-06 | global batch size:   256 | lm loss: 3.357616E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.828 | TFLOPs: 28.09 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 27000 | lm loss value: 3.259292E+00 | lm loss PPL: 2.603109E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   27000 to checkpoints_83slr
0: [2022-11-28 17:09:07,340] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step27000 is begin to save!
0: [2022-11-28 17:09:07,344] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_01-model_00-model_states.pt...
0: [2022-11-28 17:09:07,413] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_01-model_00-model_states.pt.
0: [2022-11-28 17:09:07,414] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_03-model_00-model_states.pt...
0: [2022-11-28 17:09:07,426] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_03-model_00-model_states.pt.
0: [2022-11-28 17:09:07,426] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_04-model_00-model_states.pt...
0: [2022-11-28 17:09:07,437] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_04-model_00-model_states.pt.
0: [2022-11-28 17:09:07,437] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_05-model_00-model_states.pt...
0: [2022-11-28 17:09:07,448] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_05-model_00-model_states.pt.
0: [2022-11-28 17:09:07,448] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_06-model_00-model_states.pt...
0: [2022-11-28 17:09:07,459] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_06-model_00-model_states.pt.
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0: [2022-11-28 17:09:07,470] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_07-model_00-model_states.pt.
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0: [2022-11-28 17:09:07,493] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_10-model_00-model_states.pt...
0: [2022-11-28 17:09:07,504] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_10-model_00-model_states.pt.
0: [2022-11-28 17:09:07,504] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_11-model_00-model_states.pt...
0: [2022-11-28 17:09:07,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_11-model_00-model_states.pt.
0: [2022-11-28 17:09:07,515] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_12-model_00-model_states.pt...
0: [2022-11-28 17:09:07,526] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/layer_12-model_00-model_states.pt.
0: [2022-11-28 17:09:07,526] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 17:09:07,527] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step27000/mp_rank_00_model_states.pt
0: [2022-11-28 17:09:07,527] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/mp_rank_00_model_states.pt...
0: [2022-11-28 17:09:07,529] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/mp_rank_00_model_states.pt.
0: [2022-11-28 17:09:07,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:09:07,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:09:07,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:09:07,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:09:07,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:09:07,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:09:07,546] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step27000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
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3: [2022-11-28 17:09:07,576] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
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5: [2022-11-28 17:09:07,578] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt
5: [2022-11-28 17:09:07,578] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,596] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,596] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,596] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,597] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,597] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,597] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,597] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,597] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,597] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,597] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,597] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,597] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,598] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,598] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,598] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,598] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,599] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,599] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:09:07,599] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,599] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step27000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
4: [2022-11-28 17:09:07,599] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
4: [2022-11-28 17:09:07,599] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step27000 is ready now!
0:   successfully saved checkpoint at iteration   27000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 262.43
7:  iteration    27010/   37905 | consumed samples:      6914560 | consumed tokens:  14161018880 | elapsed time per iteration (s): 0.28 | learning rate: 5.491E-06 | global batch size:   256 | lm loss: 3.361824E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.466 | TFLOPs: 23.22 |
7:  iteration    27020/   37905 | consumed samples:      6917120 | consumed tokens:  14166261760 | elapsed time per iteration (s): 0.24 | learning rate: 5.485E-06 | global batch size:   256 | lm loss: 3.329005E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.611 | TFLOPs: 26.87 |
7:  iteration    27030/   37905 | consumed samples:      6919680 | consumed tokens:  14171504640 | elapsed time per iteration (s): 0.23 | learning rate: 5.479E-06 | global batch size:   256 | lm loss: 3.330875E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.272 | TFLOPs: 28.44 |
7:  iteration    27040/   37905 | consumed samples:      6922240 | consumed tokens:  14176747520 | elapsed time per iteration (s): 0.25 | learning rate: 5.473E-06 | global batch size:   256 | lm loss: 3.337036E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.858 | TFLOPs: 26.47 |
7:  iteration    27050/   37905 | consumed samples:      6924800 | consumed tokens:  14181990400 | elapsed time per iteration (s): 0.23 | learning rate: 5.467E-06 | global batch size:   256 | lm loss: 3.400006E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.591 | TFLOPs: 28.60 |
7:  iteration    27060/   37905 | consumed samples:      6927360 | consumed tokens:  14187233280 | elapsed time per iteration (s): 0.23 | learning rate: 5.462E-06 | global batch size:   256 | lm loss: 3.376331E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.151 | TFLOPs: 28.41 |
7:  iteration    27070/   37905 | consumed samples:      6929920 | consumed tokens:  14192476160 | elapsed time per iteration (s): 0.24 | learning rate: 5.456E-06 | global batch size:   256 | lm loss: 3.356210E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.048 | TFLOPs: 26.93 |
7:  iteration    27080/   37905 | consumed samples:      6932480 | consumed tokens:  14197719040 | elapsed time per iteration (s): 0.23 | learning rate: 5.450E-06 | global batch size:   256 | lm loss: 3.340950E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.600 | TFLOPs: 28.42 |
7:  iteration    27090/   37905 | consumed samples:      6935040 | consumed tokens:  14202961920 | elapsed time per iteration (s): 0.23 | learning rate: 5.444E-06 | global batch size:   256 | lm loss: 3.363946E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.051 | TFLOPs: 28.64 |
7:  iteration    27100/   37905 | consumed samples:      6937600 | consumed tokens:  14208204800 | elapsed time per iteration (s): 0.25 | learning rate: 5.438E-06 | global batch size:   256 | lm loss: 3.342502E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1034.677 | TFLOPs: 26.36 |
7:  iteration    27110/   37905 | consumed samples:      6940160 | consumed tokens:  14213447680 | elapsed time per iteration (s): 0.25 | learning rate: 5.432E-06 | global batch size:   256 | lm loss: 3.382518E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.545 | TFLOPs: 26.30 |
7:  iteration    27120/   37905 | consumed samples:      6942720 | consumed tokens:  14218690560 | elapsed time per iteration (s): 0.25 | learning rate: 5.426E-06 | global batch size:   256 | lm loss: 3.340937E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.288 | TFLOPs: 25.74 |
7:  iteration    27130/   37905 | consumed samples:      6945280 | consumed tokens:  14223933440 | elapsed time per iteration (s): 0.23 | learning rate: 5.420E-06 | global batch size:   256 | lm loss: 3.375394E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.724 | TFLOPs: 28.68 |
7:  iteration    27140/   37905 | consumed samples:      6947840 | consumed tokens:  14229176320 | elapsed time per iteration (s): 0.24 | learning rate: 5.414E-06 | global batch size:   256 | lm loss: 3.322786E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.298 | TFLOPs: 26.68 |
7:  iteration    27150/   37905 | consumed samples:      6950400 | consumed tokens:  14234419200 | elapsed time per iteration (s): 0.23 | learning rate: 5.408E-06 | global batch size:   256 | lm loss: 3.345799E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.706 | TFLOPs: 28.32 |
7:  iteration    27160/   37905 | consumed samples:      6952960 | consumed tokens:  14239662080 | elapsed time per iteration (s): 0.23 | learning rate: 5.402E-06 | global batch size:   256 | lm loss: 3.379425E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.975 | TFLOPs: 28.15 |
7:  iteration    27170/   37905 | consumed samples:      6955520 | consumed tokens:  14244904960 | elapsed time per iteration (s): 0.23 | learning rate: 5.396E-06 | global batch size:   256 | lm loss: 3.351508E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.961 | TFLOPs: 27.89 |
7:  iteration    27180/   37905 | consumed samples:      6958080 | consumed tokens:  14250147840 | elapsed time per iteration (s): 0.23 | learning rate: 5.391E-06 | global batch size:   256 | lm loss: 3.349537E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.890 | TFLOPs: 28.22 |
7:  iteration    27190/   37905 | consumed samples:      6960640 | consumed tokens:  14255390720 | elapsed time per iteration (s): 0.27 | learning rate: 5.385E-06 | global batch size:   256 | lm loss: 3.372828E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.173 | TFLOPs: 24.33 |
7:  iteration    27200/   37905 | consumed samples:      6963200 | consumed tokens:  14260633600 | elapsed time per iteration (s): 0.23 | learning rate: 5.379E-06 | global batch size:   256 | lm loss: 3.360560E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.108 | TFLOPs: 28.08 |
7:  iteration    27210/   37905 | consumed samples:      6965760 | consumed tokens:  14265876480 | elapsed time per iteration (s): 0.23 | learning rate: 5.373E-06 | global batch size:   256 | lm loss: 3.360485E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.438 | TFLOPs: 28.44 |
7:  iteration    27220/   37905 | consumed samples:      6968320 | consumed tokens:  14271119360 | elapsed time per iteration (s): 0.24 | learning rate: 5.367E-06 | global batch size:   256 | lm loss: 3.358856E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.631 | TFLOPs: 27.66 |
7:  iteration    27230/   37905 | consumed samples:      6970880 | consumed tokens:  14276362240 | elapsed time per iteration (s): 0.24 | learning rate: 5.361E-06 | global batch size:   256 | lm loss: 3.360727E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1067.687 | TFLOPs: 27.20 |
7:  iteration    27240/   37905 | consumed samples:      6973440 | consumed tokens:  14281605120 | elapsed time per iteration (s): 0.23 | learning rate: 5.355E-06 | global batch size:   256 | lm loss: 3.323980E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.165 | TFLOPs: 28.69 |
7:  iteration    27250/   37905 | consumed samples:      6976000 | consumed tokens:  14286848000 | elapsed time per iteration (s): 0.23 | learning rate: 5.349E-06 | global batch size:   256 | lm loss: 3.355458E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.829 | TFLOPs: 28.32 |
7:  iteration    27260/   37905 | consumed samples:      6978560 | consumed tokens:  14292090880 | elapsed time per iteration (s): 0.23 | learning rate: 5.344E-06 | global batch size:   256 | lm loss: 3.342820E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.678 | TFLOPs: 27.99 |
7:  iteration    27270/   37905 | consumed samples:      6981120 | consumed tokens:  14297333760 | elapsed time per iteration (s): 0.24 | learning rate: 5.338E-06 | global batch size:   256 | lm loss: 3.331007E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.882 | TFLOPs: 27.61 |
7:  iteration    27280/   37905 | consumed samples:      6983680 | consumed tokens:  14302576640 | elapsed time per iteration (s): 0.25 | learning rate: 5.332E-06 | global batch size:   256 | lm loss: 3.357491E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.809 | TFLOPs: 26.49 |
7:  iteration    27290/   37905 | consumed samples:      6986240 | consumed tokens:  14307819520 | elapsed time per iteration (s): 0.23 | learning rate: 5.326E-06 | global batch size:   256 | lm loss: 3.364686E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.392 | TFLOPs: 28.47 |
7:  iteration    27300/   37905 | consumed samples:      6988800 | consumed tokens:  14313062400 | elapsed time per iteration (s): 0.24 | learning rate: 5.320E-06 | global batch size:   256 | lm loss: 3.367720E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.837 | TFLOPs: 26.97 |
7:  iteration    27310/   37905 | consumed samples:      6991360 | consumed tokens:  14318305280 | elapsed time per iteration (s): 0.23 | learning rate: 5.314E-06 | global batch size:   256 | lm loss: 3.369053E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.692 | TFLOPs: 28.55 |
7:  iteration    27320/   37905 | consumed samples:      6993920 | consumed tokens:  14323548160 | elapsed time per iteration (s): 0.23 | learning rate: 5.308E-06 | global batch size:   256 | lm loss: 3.366183E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.987 | TFLOPs: 28.43 |
7:  iteration    27330/   37905 | consumed samples:      6996480 | consumed tokens:  14328791040 | elapsed time per iteration (s): 0.26 | learning rate: 5.303E-06 | global batch size:   256 | lm loss: 3.355775E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.094 | TFLOPs: 25.04 |
7:  iteration    27340/   37905 | consumed samples:      6999040 | consumed tokens:  14334033920 | elapsed time per iteration (s): 0.23 | learning rate: 5.297E-06 | global batch size:   256 | lm loss: 3.347575E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.796 | TFLOPs: 28.55 |
7:  iteration    27350/   37905 | consumed samples:      7001600 | consumed tokens:  14339276800 | elapsed time per iteration (s): 0.23 | learning rate: 5.291E-06 | global batch size:   256 | lm loss: 3.345760E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.307 | TFLOPs: 27.78 |
7:  iteration    27360/   37905 | consumed samples:      7004160 | consumed tokens:  14344519680 | elapsed time per iteration (s): 0.23 | learning rate: 5.285E-06 | global batch size:   256 | lm loss: 3.364208E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.256 | TFLOPs: 28.39 |
7:  iteration    27370/   37905 | consumed samples:      7006720 | consumed tokens:  14349762560 | elapsed time per iteration (s): 0.23 | learning rate: 5.279E-06 | global batch size:   256 | lm loss: 3.419593E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1116.224 | TFLOPs: 28.44 |
7:  iteration    27380/   37905 | consumed samples:      7009280 | consumed tokens:  14355005440 | elapsed time per iteration (s): 0.26 | learning rate: 5.274E-06 | global batch size:   256 | lm loss: 3.334864E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.753 | TFLOPs: 25.57 |
7:  iteration    27390/   37905 | consumed samples:      7011840 | consumed tokens:  14360248320 | elapsed time per iteration (s): 0.23 | learning rate: 5.268E-06 | global batch size:   256 | lm loss: 3.361595E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.769 | TFLOPs: 28.63 |
7:  iteration    27400/   37905 | consumed samples:      7014400 | consumed tokens:  14365491200 | elapsed time per iteration (s): 0.23 | learning rate: 5.262E-06 | global batch size:   256 | lm loss: 3.332934E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.867 | TFLOPs: 28.35 |
7:  iteration    27410/   37905 | consumed samples:      7016960 | consumed tokens:  14370734080 | elapsed time per iteration (s): 0.26 | learning rate: 5.256E-06 | global batch size:   256 | lm loss: 3.349685E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.676 | TFLOPs: 25.47 |
7:  iteration    27420/   37905 | consumed samples:      7019520 | consumed tokens:  14375976960 | elapsed time per iteration (s): 0.23 | learning rate: 5.250E-06 | global batch size:   256 | lm loss: 3.375232E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.386 | TFLOPs: 28.11 |
7:  iteration    27430/   37905 | consumed samples:      7022080 | consumed tokens:  14381219840 | elapsed time per iteration (s): 0.24 | learning rate: 5.245E-06 | global batch size:   256 | lm loss: 3.378516E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.406 | TFLOPs: 27.37 |
7:  iteration    27440/   37905 | consumed samples:      7024640 | consumed tokens:  14386462720 | elapsed time per iteration (s): 0.24 | learning rate: 5.239E-06 | global batch size:   256 | lm loss: 3.358139E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.062 | TFLOPs: 27.72 |
7:  iteration    27450/   37905 | consumed samples:      7027200 | consumed tokens:  14391705600 | elapsed time per iteration (s): 0.25 | learning rate: 5.233E-06 | global batch size:   256 | lm loss: 3.351187E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.809 | TFLOPs: 26.26 |
7:  iteration    27460/   37905 | consumed samples:      7029760 | consumed tokens:  14396948480 | elapsed time per iteration (s): 0.25 | learning rate: 5.227E-06 | global batch size:   256 | lm loss: 3.387569E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.892 | TFLOPs: 25.68 |
7:  iteration    27470/   37905 | consumed samples:      7032320 | consumed tokens:  14402191360 | elapsed time per iteration (s): 0.23 | learning rate: 5.221E-06 | global batch size:   256 | lm loss: 3.351358E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.204 | TFLOPs: 28.51 |
7:  iteration    27480/   37905 | consumed samples:      7034880 | consumed tokens:  14407434240 | elapsed time per iteration (s): 0.23 | learning rate: 5.216E-06 | global batch size:   256 | lm loss: 3.339504E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.250 | TFLOPs: 27.85 |
7:  iteration    27490/   37905 | consumed samples:      7037440 | consumed tokens:  14412677120 | elapsed time per iteration (s): 0.23 | learning rate: 5.210E-06 | global batch size:   256 | lm loss: 3.364502E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.798 | TFLOPs: 28.65 |
7:  iteration    27500/   37905 | consumed samples:      7040000 | consumed tokens:  14417920000 | elapsed time per iteration (s): 0.24 | learning rate: 5.204E-06 | global batch size:   256 | lm loss: 3.379264E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.796 | TFLOPs: 27.07 |
7:  iteration    27510/   37905 | consumed samples:      7042560 | consumed tokens:  14423162880 | elapsed time per iteration (s): 0.23 | learning rate: 5.198E-06 | global batch size:   256 | lm loss: 3.382990E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1090.071 | TFLOPs: 27.77 |
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7:  iteration    27610/   37905 | consumed samples:      7068160 | consumed tokens:  14475591680 | elapsed time per iteration (s): 0.24 | learning rate: 5.141E-06 | global batch size:   256 | lm loss: 3.343786E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.375 | TFLOPs: 26.73 |
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7:  iteration    27630/   37905 | consumed samples:      7073280 | consumed tokens:  14486077440 | elapsed time per iteration (s): 0.23 | learning rate: 5.129E-06 | global batch size:   256 | lm loss: 3.371989E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.862 | TFLOPs: 27.76 |
7:  iteration    27640/   37905 | consumed samples:      7075840 | consumed tokens:  14491320320 | elapsed time per iteration (s): 0.24 | learning rate: 5.124E-06 | global batch size:   256 | lm loss: 3.362714E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.414 | TFLOPs: 27.22 |
7:  iteration    27650/   37905 | consumed samples:      7078400 | consumed tokens:  14496563200 | elapsed time per iteration (s): 0.23 | learning rate: 5.118E-06 | global batch size:   256 | lm loss: 3.368567E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.575 | TFLOPs: 28.55 |
7:  iteration    27660/   37905 | consumed samples:      7080960 | consumed tokens:  14501806080 | elapsed time per iteration (s): 0.23 | learning rate: 5.112E-06 | global batch size:   256 | lm loss: 3.343895E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.956 | TFLOPs: 28.10 |
7:  iteration    27670/   37905 | consumed samples:      7083520 | consumed tokens:  14507048960 | elapsed time per iteration (s): 0.23 | learning rate: 5.107E-06 | global batch size:   256 | lm loss: 3.369611E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.587 | TFLOPs: 28.55 |
7:  iteration    27680/   37905 | consumed samples:      7086080 | consumed tokens:  14512291840 | elapsed time per iteration (s): 0.24 | learning rate: 5.101E-06 | global batch size:   256 | lm loss: 3.373001E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.623 | TFLOPs: 27.40 |
7:  iteration    27690/   37905 | consumed samples:      7088640 | consumed tokens:  14517534720 | elapsed time per iteration (s): 0.24 | learning rate: 5.095E-06 | global batch size:   256 | lm loss: 3.394003E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.001 | TFLOPs: 27.64 |
7:  iteration    27700/   37905 | consumed samples:      7091200 | consumed tokens:  14522777600 | elapsed time per iteration (s): 0.23 | learning rate: 5.090E-06 | global batch size:   256 | lm loss: 3.338726E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.613 | TFLOPs: 28.01 |
7:  iteration    27710/   37905 | consumed samples:      7093760 | consumed tokens:  14528020480 | elapsed time per iteration (s): 0.23 | learning rate: 5.084E-06 | global batch size:   256 | lm loss: 3.396119E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.093 | TFLOPs: 28.23 |
7:  iteration    27720/   37905 | consumed samples:      7096320 | consumed tokens:  14533263360 | elapsed time per iteration (s): 0.24 | learning rate: 5.078E-06 | global batch size:   256 | lm loss: 3.374095E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.488 | TFLOPs: 26.74 |
7:  iteration    27730/   37905 | consumed samples:      7098880 | consumed tokens:  14538506240 | elapsed time per iteration (s): 0.23 | learning rate: 5.073E-06 | global batch size:   256 | lm loss: 3.364400E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.547 | TFLOPs: 28.11 |
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7:  iteration    27770/   37905 | consumed samples:      7109120 | consumed tokens:  14559477760 | elapsed time per iteration (s): 0.23 | learning rate: 5.050E-06 | global batch size:   256 | lm loss: 3.337009E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.166 | TFLOPs: 28.21 |
7:  iteration    27780/   37905 | consumed samples:      7111680 | consumed tokens:  14564720640 | elapsed time per iteration (s): 0.23 | learning rate: 5.044E-06 | global batch size:   256 | lm loss: 3.390864E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.497 | TFLOPs: 28.37 |
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7:  iteration    27810/   37905 | consumed samples:      7119360 | consumed tokens:  14580449280 | elapsed time per iteration (s): 0.23 | learning rate: 5.027E-06 | global batch size:   256 | lm loss: 3.334082E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.451 | TFLOPs: 28.52 |
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7:  iteration    27840/   37905 | consumed samples:      7127040 | consumed tokens:  14596177920 | elapsed time per iteration (s): 0.26 | learning rate: 5.010E-06 | global batch size:   256 | lm loss: 3.384065E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.840 | TFLOPs: 24.73 |
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7:  iteration    27860/   37905 | consumed samples:      7132160 | consumed tokens:  14606663680 | elapsed time per iteration (s): 0.23 | learning rate: 4.999E-06 | global batch size:   256 | lm loss: 3.379230E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.066 | TFLOPs: 28.56 |
7:  iteration    27870/   37905 | consumed samples:      7134720 | consumed tokens:  14611906560 | elapsed time per iteration (s): 0.26 | learning rate: 4.994E-06 | global batch size:   256 | lm loss: 3.336390E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.869 | TFLOPs: 24.89 |
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7:  iteration    27910/   37905 | consumed samples:      7144960 | consumed tokens:  14632878080 | elapsed time per iteration (s): 0.24 | learning rate: 4.971E-06 | global batch size:   256 | lm loss: 3.348463E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.702 | TFLOPs: 27.33 |
7:  iteration    27920/   37905 | consumed samples:      7147520 | consumed tokens:  14638120960 | elapsed time per iteration (s): 0.25 | learning rate: 4.966E-06 | global batch size:   256 | lm loss: 3.327670E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.053 | TFLOPs: 26.06 |
7:  iteration    27930/   37905 | consumed samples:      7150080 | consumed tokens:  14643363840 | elapsed time per iteration (s): 0.23 | learning rate: 4.960E-06 | global batch size:   256 | lm loss: 3.341600E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.081 | TFLOPs: 28.64 |
7:  iteration    27940/   37905 | consumed samples:      7152640 | consumed tokens:  14648606720 | elapsed time per iteration (s): 0.25 | learning rate: 4.954E-06 | global batch size:   256 | lm loss: 3.401072E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.308 | TFLOPs: 26.15 |
7:  iteration    27950/   37905 | consumed samples:      7155200 | consumed tokens:  14653849600 | elapsed time per iteration (s): 0.23 | learning rate: 4.949E-06 | global batch size:   256 | lm loss: 3.363458E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.120 | TFLOPs: 28.41 |
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7:  iteration    27970/   37905 | consumed samples:      7160320 | consumed tokens:  14664335360 | elapsed time per iteration (s): 0.23 | learning rate: 4.938E-06 | global batch size:   256 | lm loss: 3.354094E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.394 | TFLOPs: 28.41 |
7:  iteration    27980/   37905 | consumed samples:      7162880 | consumed tokens:  14669578240 | elapsed time per iteration (s): 0.26 | learning rate: 4.932E-06 | global batch size:   256 | lm loss: 3.365322E+00 | grad norm: 0.582 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.136 | TFLOPs: 25.33 |
7:  iteration    27990/   37905 | consumed samples:      7165440 | consumed tokens:  14674821120 | elapsed time per iteration (s): 0.23 | learning rate: 4.927E-06 | global batch size:   256 | lm loss: 3.354895E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.901 | TFLOPs: 28.40 |
0: [2022-11-28 17:13:04,622] [INFO] [logging.py:68:log_dist] [Rank 0] step=28000, skipped=0, lr=[4.921009995588213e-06, 4.921009995588213e-06, 4.921009995588213e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    28000/   37905 | consumed samples:      7168000 | consumed tokens:  14680064000 | elapsed time per iteration (s): 0.23 | learning rate: 4.921E-06 | global batch size:   256 | lm loss: 3.352401E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.693 | TFLOPs: 28.27 |
0: steps: 28000 loss: 3.4193 iter time (s): 0.237 samples/sec: 1081.320
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 28000 | lm loss value: 3.305660E+00 | lm loss PPL: 2.726654E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   28000 to checkpoints_83slr
0: [2022-11-28 17:13:04,712] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step28000 is begin to save!
0: [2022-11-28 17:13:04,717] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step28000/layer_01-model_00-model_states.pt...
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4: [2022-11-28 17:13:04,953] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
2: [2022-11-28 17:13:04,953] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:13:04,953] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
2: [2022-11-28 17:13:04,953] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
7: [2022-11-28 17:13:04,953] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:13:04,953] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
7: [2022-11-28 17:13:04,953] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
0: [2022-11-28 17:13:04,953] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:13:04,953] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
0: [2022-11-28 17:13:04,954] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
1: [2022-11-28 17:13:04,954] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:13:04,954] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
1: [2022-11-28 17:13:04,954] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
2: [2022-11-28 17:13:04,954] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:13:04,954] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
2: [2022-11-28 17:13:04,954] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
3: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:13:04,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt
4: [2022-11-28 17:13:04,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
5: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
4: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
5: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:13:04,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
3: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
5: [2022-11-28 17:13:04,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt
5: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
2: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:13:04,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
3: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:13:04,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 17:13:04,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
1: [2022-11-28 17:13:04,956] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:13:04,956] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
1: [2022-11-28 17:13:04,956] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
6: [2022-11-28 17:13:04,957] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:13:04,957] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step28000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt
6: [2022-11-28 17:13:04,957] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now!
0:   successfully saved checkpoint at iteration   28000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 247.94
7:  iteration    28010/   37905 | consumed samples:      7170560 | consumed tokens:  14685306880 | elapsed time per iteration (s): 0.27 | learning rate: 4.915E-06 | global batch size:   256 | lm loss: 3.380440E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.810 | TFLOPs: 23.76 |
7:  iteration    28020/   37905 | consumed samples:      7173120 | consumed tokens:  14690549760 | elapsed time per iteration (s): 0.23 | learning rate: 4.910E-06 | global batch size:   256 | lm loss: 3.304835E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.666 | TFLOPs: 28.40 |
7:  iteration    28030/   37905 | consumed samples:      7175680 | consumed tokens:  14695792640 | elapsed time per iteration (s): 0.25 | learning rate: 4.904E-06 | global batch size:   256 | lm loss: 3.372304E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.110 | TFLOPs: 25.71 |
7:  iteration    28040/   37905 | consumed samples:      7178240 | consumed tokens:  14701035520 | elapsed time per iteration (s): 0.23 | learning rate: 4.899E-06 | global batch size:   256 | lm loss: 3.361230E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.013 | TFLOPs: 28.38 |
7:  iteration    28050/   37905 | consumed samples:      7180800 | consumed tokens:  14706278400 | elapsed time per iteration (s): 0.23 | learning rate: 4.893E-06 | global batch size:   256 | lm loss: 3.329373E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1092.372 | TFLOPs: 27.83 |
7:  iteration    28060/   37905 | consumed samples:      7183360 | consumed tokens:  14711521280 | elapsed time per iteration (s): 0.25 | learning rate: 4.888E-06 | global batch size:   256 | lm loss: 3.341192E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.105 | TFLOPs: 25.89 |
7:  iteration    28070/   37905 | consumed samples:      7185920 | consumed tokens:  14716764160 | elapsed time per iteration (s): 0.23 | learning rate: 4.882E-06 | global batch size:   256 | lm loss: 3.396838E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.805 | TFLOPs: 28.50 |
7:  iteration    28080/   37905 | consumed samples:      7188480 | consumed tokens:  14722007040 | elapsed time per iteration (s): 0.25 | learning rate: 4.877E-06 | global batch size:   256 | lm loss: 3.349196E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.786 | TFLOPs: 25.70 |
7:  iteration    28090/   37905 | consumed samples:      7191040 | consumed tokens:  14727249920 | elapsed time per iteration (s): 0.27 | learning rate: 4.871E-06 | global batch size:   256 | lm loss: 3.356021E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.562 | TFLOPs: 24.60 |
7:  iteration    28100/   37905 | consumed samples:      7193600 | consumed tokens:  14732492800 | elapsed time per iteration (s): 0.25 | learning rate: 4.866E-06 | global batch size:   256 | lm loss: 3.378177E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.060 | TFLOPs: 25.96 |
7:  iteration    28110/   37905 | consumed samples:      7196160 | consumed tokens:  14737735680 | elapsed time per iteration (s): 0.23 | learning rate: 4.860E-06 | global batch size:   256 | lm loss: 3.347263E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.396 | TFLOPs: 28.67 |
7:  iteration    28120/   37905 | consumed samples:      7198720 | consumed tokens:  14742978560 | elapsed time per iteration (s): 0.23 | learning rate: 4.855E-06 | global batch size:   256 | lm loss: 3.337659E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.036 | TFLOPs: 28.48 |
7:  iteration    28130/   37905 | consumed samples:      7201280 | consumed tokens:  14748221440 | elapsed time per iteration (s): 0.23 | learning rate: 4.849E-06 | global batch size:   256 | lm loss: 3.377239E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.941 | TFLOPs: 28.56 |
7:  iteration    28140/   37905 | consumed samples:      7203840 | consumed tokens:  14753464320 | elapsed time per iteration (s): 0.25 | learning rate: 4.844E-06 | global batch size:   256 | lm loss: 3.373777E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.750 | TFLOPs: 26.23 |
7:  iteration    28150/   37905 | consumed samples:      7206400 | consumed tokens:  14758707200 | elapsed time per iteration (s): 0.23 | learning rate: 4.838E-06 | global batch size:   256 | lm loss: 3.370941E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.503 | TFLOPs: 28.39 |
7:  iteration    28160/   37905 | consumed samples:      7208960 | consumed tokens:  14763950080 | elapsed time per iteration (s): 0.23 | learning rate: 4.833E-06 | global batch size:   256 | lm loss: 3.321161E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.664 | TFLOPs: 28.37 |
7:  iteration    28170/   37905 | consumed samples:      7211520 | consumed tokens:  14769192960 | elapsed time per iteration (s): 0.24 | learning rate: 4.827E-06 | global batch size:   256 | lm loss: 3.353956E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1063.929 | TFLOPs: 27.10 |
7:  iteration    28180/   37905 | consumed samples:      7214080 | consumed tokens:  14774435840 | elapsed time per iteration (s): 0.23 | learning rate: 4.822E-06 | global batch size:   256 | lm loss: 3.324628E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.304 | TFLOPs: 28.54 |
7:  iteration    28190/   37905 | consumed samples:      7216640 | consumed tokens:  14779678720 | elapsed time per iteration (s): 0.23 | learning rate: 4.816E-06 | global batch size:   256 | lm loss: 3.356279E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.397 | TFLOPs: 28.19 |
7:  iteration    28200/   37905 | consumed samples:      7219200 | consumed tokens:  14784921600 | elapsed time per iteration (s): 0.23 | learning rate: 4.811E-06 | global batch size:   256 | lm loss: 3.313874E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.368 | TFLOPs: 28.41 |
7:  iteration    28210/   37905 | consumed samples:      7221760 | consumed tokens:  14790164480 | elapsed time per iteration (s): 0.23 | learning rate: 4.805E-06 | global batch size:   256 | lm loss: 3.332580E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.213 | TFLOPs: 28.69 |
7:  iteration    28220/   37905 | consumed samples:      7224320 | consumed tokens:  14795407360 | elapsed time per iteration (s): 0.23 | learning rate: 4.800E-06 | global batch size:   256 | lm loss: 3.370770E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.502 | TFLOPs: 28.24 |
7:  iteration    28230/   37905 | consumed samples:      7226880 | consumed tokens:  14800650240 | elapsed time per iteration (s): 0.23 | learning rate: 4.794E-06 | global batch size:   256 | lm loss: 3.326640E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.911 | TFLOPs: 28.53 |
7:  iteration    28240/   37905 | consumed samples:      7229440 | consumed tokens:  14805893120 | elapsed time per iteration (s): 0.27 | learning rate: 4.789E-06 | global batch size:   256 | lm loss: 3.347737E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 939.760 | TFLOPs: 23.94 |
7:  iteration    28250/   37905 | consumed samples:      7232000 | consumed tokens:  14811136000 | elapsed time per iteration (s): 0.23 | learning rate: 4.783E-06 | global batch size:   256 | lm loss: 3.353159E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.470 | TFLOPs: 28.34 |
7:  iteration    28260/   37905 | consumed samples:      7234560 | consumed tokens:  14816378880 | elapsed time per iteration (s): 0.23 | learning rate: 4.778E-06 | global batch size:   256 | lm loss: 3.346314E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.281 | TFLOPs: 28.59 |
7:  iteration    28270/   37905 | consumed samples:      7237120 | consumed tokens:  14821621760 | elapsed time per iteration (s): 0.23 | learning rate: 4.773E-06 | global batch size:   256 | lm loss: 3.340888E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.982 | TFLOPs: 28.30 |
7:  iteration    28280/   37905 | consumed samples:      7239680 | consumed tokens:  14826864640 | elapsed time per iteration (s): 0.24 | learning rate: 4.767E-06 | global batch size:   256 | lm loss: 3.364870E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.723 | TFLOPs: 27.63 |
7:  iteration    28290/   37905 | consumed samples:      7242240 | consumed tokens:  14832107520 | elapsed time per iteration (s): 0.24 | learning rate: 4.762E-06 | global batch size:   256 | lm loss: 3.373413E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.458 | TFLOPs: 27.58 |
7:  iteration    28300/   37905 | consumed samples:      7244800 | consumed tokens:  14837350400 | elapsed time per iteration (s): 0.23 | learning rate: 4.756E-06 | global batch size:   256 | lm loss: 3.350889E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.632 | TFLOPs: 28.34 |
7:  iteration    28310/   37905 | consumed samples:      7247360 | consumed tokens:  14842593280 | elapsed time per iteration (s): 0.25 | learning rate: 4.751E-06 | global batch size:   256 | lm loss: 3.385176E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.490 | TFLOPs: 26.48 |
7:  iteration    28320/   37905 | consumed samples:      7249920 | consumed tokens:  14847836160 | elapsed time per iteration (s): 0.23 | learning rate: 4.745E-06 | global batch size:   256 | lm loss: 3.427363E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.627 | TFLOPs: 28.24 |
7:  iteration    28330/   37905 | consumed samples:      7252480 | consumed tokens:  14853079040 | elapsed time per iteration (s): 0.23 | learning rate: 4.740E-06 | global batch size:   256 | lm loss: 3.383739E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.139 | TFLOPs: 28.71 |
7:  iteration    28340/   37905 | consumed samples:      7255040 | consumed tokens:  14858321920 | elapsed time per iteration (s): 0.23 | learning rate: 4.735E-06 | global batch size:   256 | lm loss: 3.353302E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.104 | TFLOPs: 27.85 |
7:  iteration    28350/   37905 | consumed samples:      7257600 | consumed tokens:  14863564800 | elapsed time per iteration (s): 0.23 | learning rate: 4.729E-06 | global batch size:   256 | lm loss: 3.334454E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.713 | TFLOPs: 28.04 |
7:  iteration    28360/   37905 | consumed samples:      7260160 | consumed tokens:  14868807680 | elapsed time per iteration (s): 0.23 | learning rate: 4.724E-06 | global batch size:   256 | lm loss: 3.370052E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.373 | TFLOPs: 28.36 |
7:  iteration    28370/   37905 | consumed samples:      7262720 | consumed tokens:  14874050560 | elapsed time per iteration (s): 0.23 | learning rate: 4.718E-06 | global batch size:   256 | lm loss: 3.376027E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.847 | TFLOPs: 28.22 |
7:  iteration    28380/   37905 | consumed samples:      7265280 | consumed tokens:  14879293440 | elapsed time per iteration (s): 0.23 | learning rate: 4.713E-06 | global batch size:   256 | lm loss: 3.326646E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.340 | TFLOPs: 28.69 |
7:  iteration    28390/   37905 | consumed samples:      7267840 | consumed tokens:  14884536320 | elapsed time per iteration (s): 0.24 | learning rate: 4.708E-06 | global batch size:   256 | lm loss: 3.346711E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.689 | TFLOPs: 27.15 |
7:  iteration    28400/   37905 | consumed samples:      7270400 | consumed tokens:  14889779200 | elapsed time per iteration (s): 0.23 | learning rate: 4.702E-06 | global batch size:   256 | lm loss: 3.374538E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1128.732 | TFLOPs: 28.75 |
7:  iteration    28410/   37905 | consumed samples:      7272960 | consumed tokens:  14895022080 | elapsed time per iteration (s): 0.24 | learning rate: 4.697E-06 | global batch size:   256 | lm loss: 3.355165E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.936 | TFLOPs: 27.18 |
7:  iteration    28420/   37905 | consumed samples:      7275520 | consumed tokens:  14900264960 | elapsed time per iteration (s): 0.23 | learning rate: 4.691E-06 | global batch size:   256 | lm loss: 3.404112E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1101.996 | TFLOPs: 28.07 |
7:  iteration    28430/   37905 | consumed samples:      7278080 | consumed tokens:  14905507840 | elapsed time per iteration (s): 0.23 | learning rate: 4.686E-06 | global batch size:   256 | lm loss: 3.331127E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.374 | TFLOPs: 28.54 |
7:  iteration    28440/   37905 | consumed samples:      7280640 | consumed tokens:  14910750720 | elapsed time per iteration (s): 0.25 | learning rate: 4.681E-06 | global batch size:   256 | lm loss: 3.341177E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.628 | TFLOPs: 26.13 |
7:  iteration    28450/   37905 | consumed samples:      7283200 | consumed tokens:  14915993600 | elapsed time per iteration (s): 0.23 | learning rate: 4.675E-06 | global batch size:   256 | lm loss: 3.309069E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.313 | TFLOPs: 28.49 |
7:  iteration    28460/   37905 | consumed samples:      7285760 | consumed tokens:  14921236480 | elapsed time per iteration (s): 0.25 | learning rate: 4.670E-06 | global batch size:   256 | lm loss: 3.336897E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.162 | TFLOPs: 26.60 |
7:  iteration    28470/   37905 | consumed samples:      7288320 | consumed tokens:  14926479360 | elapsed time per iteration (s): 0.34 | learning rate: 4.665E-06 | global batch size:   256 | lm loss: 3.306445E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 750.045 | TFLOPs: 19.11 |
7:  iteration    28480/   37905 | consumed samples:      7290880 | consumed tokens:  14931722240 | elapsed time per iteration (s): 0.23 | learning rate: 4.659E-06 | global batch size:   256 | lm loss: 3.349340E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.401 | TFLOPs: 28.49 |
7:  iteration    28490/   37905 | consumed samples:      7293440 | consumed tokens:  14936965120 | elapsed time per iteration (s): 0.23 | learning rate: 4.654E-06 | global batch size:   256 | lm loss: 3.355891E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.459 | TFLOPs: 28.19 |
7:  iteration    28500/   37905 | consumed samples:      7296000 | consumed tokens:  14942208000 | elapsed time per iteration (s): 0.24 | learning rate: 4.649E-06 | global batch size:   256 | lm loss: 3.368898E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1063.118 | TFLOPs: 27.08 |
7:  iteration    28510/   37905 | consumed samples:      7298560 | consumed tokens:  14947450880 | elapsed time per iteration (s): 0.23 | learning rate: 4.643E-06 | global batch size:   256 | lm loss: 3.362482E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1127.051 | TFLOPs: 28.71 |
7:  iteration    28520/   37905 | consumed samples:      7301120 | consumed tokens:  14952693760 | elapsed time per iteration (s): 0.24 | learning rate: 4.638E-06 | global batch size:   256 | lm loss: 3.377237E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1079.430 | TFLOPs: 27.50 |
7:  iteration    28530/   37905 | consumed samples:      7303680 | consumed tokens:  14957936640 | elapsed time per iteration (s): 0.23 | learning rate: 4.633E-06 | global batch size:   256 | lm loss: 3.331033E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1128.205 | TFLOPs: 28.74 |
7:  iteration    28540/   37905 | consumed samples:      7306240 | consumed tokens:  14963179520 | elapsed time per iteration (s): 0.23 | learning rate: 4.627E-06 | global batch size:   256 | lm loss: 3.360567E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.640 | TFLOPs: 28.70 |
7:  iteration    28550/   37905 | consumed samples:      7308800 | consumed tokens:  14968422400 | elapsed time per iteration (s): 0.25 | learning rate: 4.622E-06 | global batch size:   256 | lm loss: 3.349042E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.961 | TFLOPs: 26.39 |
7:  iteration    28560/   37905 | consumed samples:      7311360 | consumed tokens:  14973665280 | elapsed time per iteration (s): 0.24 | learning rate: 4.617E-06 | global batch size:   256 | lm loss: 3.365660E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1063.837 | TFLOPs: 27.10 |
7:  iteration    28570/   37905 | consumed samples:      7313920 | consumed tokens:  14978908160 | elapsed time per iteration (s): 0.26 | learning rate: 4.611E-06 | global batch size:   256 | lm loss: 3.333817E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 994.692 | TFLOPs: 25.34 |
7:  iteration    28580/   37905 | consumed samples:      7316480 | consumed tokens:  14984151040 | elapsed time per iteration (s): 0.23 | learning rate: 4.606E-06 | global batch size:   256 | lm loss: 3.355470E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1115.114 | TFLOPs: 28.41 |
7:  iteration    28590/   37905 | consumed samples:      7319040 | consumed tokens:  14989393920 | elapsed time per iteration (s): 0.24 | learning rate: 4.601E-06 | global batch size:   256 | lm loss: 3.345227E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.882 | TFLOPs: 26.87 |
7:  iteration    28600/   37905 | consumed samples:      7321600 | consumed tokens:  14994636800 | elapsed time per iteration (s): 0.25 | learning rate: 4.595E-06 | global batch size:   256 | lm loss: 3.368192E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.831 | TFLOPs: 25.83 |
7:  iteration    28610/   37905 | consumed samples:      7324160 | consumed tokens:  14999879680 | elapsed time per iteration (s): 0.25 | learning rate: 4.590E-06 | global batch size:   256 | lm loss: 3.350208E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.332 | TFLOPs: 26.25 |
7:  iteration    28620/   37905 | consumed samples:      7326720 | consumed tokens:  15005122560 | elapsed time per iteration (s): 0.26 | learning rate: 4.585E-06 | global batch size:   256 | lm loss: 3.353015E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.792 | TFLOPs: 25.04 |
7:  iteration    28630/   37905 | consumed samples:      7329280 | consumed tokens:  15010365440 | elapsed time per iteration (s): 0.23 | learning rate: 4.580E-06 | global batch size:   256 | lm loss: 3.353026E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.679 | TFLOPs: 28.57 |
7:  iteration    28640/   37905 | consumed samples:      7331840 | consumed tokens:  15015608320 | elapsed time per iteration (s): 0.23 | learning rate: 4.574E-06 | global batch size:   256 | lm loss: 3.363513E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.867 | TFLOPs: 28.66 |
7:  iteration    28650/   37905 | consumed samples:      7334400 | consumed tokens:  15020851200 | elapsed time per iteration (s): 0.23 | learning rate: 4.569E-06 | global batch size:   256 | lm loss: 3.333937E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.575 | TFLOPs: 28.65 |
7:  iteration    28660/   37905 | consumed samples:      7336960 | consumed tokens:  15026094080 | elapsed time per iteration (s): 0.23 | learning rate: 4.564E-06 | global batch size:   256 | lm loss: 3.371155E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.447 | TFLOPs: 28.14 |
7:  iteration    28670/   37905 | consumed samples:      7339520 | consumed tokens:  15031336960 | elapsed time per iteration (s): 0.26 | learning rate: 4.559E-06 | global batch size:   256 | lm loss: 3.352763E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.715 | TFLOPs: 25.26 |
7:  iteration    28680/   37905 | consumed samples:      7342080 | consumed tokens:  15036579840 | elapsed time per iteration (s): 0.24 | learning rate: 4.553E-06 | global batch size:   256 | lm loss: 3.363280E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.662 | TFLOPs: 27.43 |
7:  iteration    28690/   37905 | consumed samples:      7344640 | consumed tokens:  15041822720 | elapsed time per iteration (s): 0.28 | learning rate: 4.548E-06 | global batch size:   256 | lm loss: 3.343403E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.384 | TFLOPs: 23.27 |
7:  iteration    28700/   37905 | consumed samples:      7347200 | consumed tokens:  15047065600 | elapsed time per iteration (s): 0.24 | learning rate: 4.543E-06 | global batch size:   256 | lm loss: 3.385117E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1087.219 | TFLOPs: 27.70 |
7:  iteration    28710/   37905 | consumed samples:      7349760 | consumed tokens:  15052308480 | elapsed time per iteration (s): 0.26 | learning rate: 4.537E-06 | global batch size:   256 | lm loss: 3.339654E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.691 | TFLOPs: 25.54 |
7:  iteration    28720/   37905 | consumed samples:      7352320 | consumed tokens:  15057551360 | elapsed time per iteration (s): 0.26 | learning rate: 4.532E-06 | global batch size:   256 | lm loss: 3.361551E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.139 | TFLOPs: 25.45 |
7:  iteration    28730/   37905 | consumed samples:      7354880 | consumed tokens:  15062794240 | elapsed time per iteration (s): 0.23 | learning rate: 4.527E-06 | global batch size:   256 | lm loss: 3.375132E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.521 | TFLOPs: 28.39 |
7:  iteration    28740/   37905 | consumed samples:      7357440 | consumed tokens:  15068037120 | elapsed time per iteration (s): 0.25 | learning rate: 4.522E-06 | global batch size:   256 | lm loss: 3.386400E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.827 | TFLOPs: 26.01 |
7:  iteration    28750/   37905 | consumed samples:      7360000 | consumed tokens:  15073280000 | elapsed time per iteration (s): 0.23 | learning rate: 4.517E-06 | global batch size:   256 | lm loss: 3.379308E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.166 | TFLOPs: 28.54 |
7:  iteration    28760/   37905 | consumed samples:      7362560 | consumed tokens:  15078522880 | elapsed time per iteration (s): 0.25 | learning rate: 4.511E-06 | global batch size:   256 | lm loss: 3.365956E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.658 | TFLOPs: 26.28 |
7:  iteration    28770/   37905 | consumed samples:      7365120 | consumed tokens:  15083765760 | elapsed time per iteration (s): 0.25 | learning rate: 4.506E-06 | global batch size:   256 | lm loss: 3.357369E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.426 | TFLOPs: 26.25 |
7:  iteration    28780/   37905 | consumed samples:      7367680 | consumed tokens:  15089008640 | elapsed time per iteration (s): 0.24 | learning rate: 4.501E-06 | global batch size:   256 | lm loss: 3.361401E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.172 | TFLOPs: 26.65 |
7:  iteration    28790/   37905 | consumed samples:      7370240 | consumed tokens:  15094251520 | elapsed time per iteration (s): 0.24 | learning rate: 4.496E-06 | global batch size:   256 | lm loss: 3.348804E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1054.158 | TFLOPs: 26.85 |
7:  iteration    28800/   37905 | consumed samples:      7372800 | consumed tokens:  15099494400 | elapsed time per iteration (s): 0.23 | learning rate: 4.490E-06 | global batch size:   256 | lm loss: 3.373235E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.252 | TFLOPs: 28.00 |
7:  iteration    28810/   37905 | consumed samples:      7375360 | consumed tokens:  15104737280 | elapsed time per iteration (s): 0.26 | learning rate: 4.485E-06 | global batch size:   256 | lm loss: 3.337373E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 966.431 | TFLOPs: 24.62 |
7:  iteration    28820/   37905 | consumed samples:      7377920 | consumed tokens:  15109980160 | elapsed time per iteration (s): 0.23 | learning rate: 4.480E-06 | global batch size:   256 | lm loss: 3.329499E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1117.692 | TFLOPs: 28.47 |
7:  iteration    28830/   37905 | consumed samples:      7380480 | consumed tokens:  15115223040 | elapsed time per iteration (s): 0.23 | learning rate: 4.475E-06 | global batch size:   256 | lm loss: 3.361168E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1103.879 | TFLOPs: 28.12 |
7:  iteration    28840/   37905 | consumed samples:      7383040 | consumed tokens:  15120465920 | elapsed time per iteration (s): 0.23 | learning rate: 4.470E-06 | global batch size:   256 | lm loss: 3.334463E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.946 | TFLOPs: 28.15 |
7:  iteration    28850/   37905 | consumed samples:      7385600 | consumed tokens:  15125708800 | elapsed time per iteration (s): 0.23 | learning rate: 4.465E-06 | global batch size:   256 | lm loss: 3.380678E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.569 | TFLOPs: 28.34 |
7:  iteration    28860/   37905 | consumed samples:      7388160 | consumed tokens:  15130951680 | elapsed time per iteration (s): 0.25 | learning rate: 4.459E-06 | global batch size:   256 | lm loss: 3.345913E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.446 | TFLOPs: 26.53 |
7:  iteration    28870/   37905 | consumed samples:      7390720 | consumed tokens:  15136194560 | elapsed time per iteration (s): 0.25 | learning rate: 4.454E-06 | global batch size:   256 | lm loss: 3.348980E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.414 | TFLOPs: 25.92 |
7:  iteration    28880/   37905 | consumed samples:      7393280 | consumed tokens:  15141437440 | elapsed time per iteration (s): 0.23 | learning rate: 4.449E-06 | global batch size:   256 | lm loss: 3.362197E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.816 | TFLOPs: 28.37 |
7:  iteration    28890/   37905 | consumed samples:      7395840 | consumed tokens:  15146680320 | elapsed time per iteration (s): 0.25 | learning rate: 4.444E-06 | global batch size:   256 | lm loss: 3.361472E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.254 | TFLOPs: 26.53 |
7:  iteration    28900/   37905 | consumed samples:      7398400 | consumed tokens:  15151923200 | elapsed time per iteration (s): 0.27 | learning rate: 4.439E-06 | global batch size:   256 | lm loss: 3.359717E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.368 | TFLOPs: 24.47 |
7:  iteration    28910/   37905 | consumed samples:      7400960 | consumed tokens:  15157166080 | elapsed time per iteration (s): 0.23 | learning rate: 4.434E-06 | global batch size:   256 | lm loss: 3.365994E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.971 | TFLOPs: 28.20 |
7:  iteration    28920/   37905 | consumed samples:      7403520 | consumed tokens:  15162408960 | elapsed time per iteration (s): 0.24 | learning rate: 4.428E-06 | global batch size:   256 | lm loss: 3.381347E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1048.158 | TFLOPs: 26.70 |
7:  iteration    28930/   37905 | consumed samples:      7406080 | consumed tokens:  15167651840 | elapsed time per iteration (s): 0.23 | learning rate: 4.423E-06 | global batch size:   256 | lm loss: 3.348390E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1120.542 | TFLOPs: 28.55 |
7:  iteration    28940/   37905 | consumed samples:      7408640 | consumed tokens:  15172894720 | elapsed time per iteration (s): 0.25 | learning rate: 4.418E-06 | global batch size:   256 | lm loss: 3.388717E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.463 | TFLOPs: 25.69 |
7:  iteration    28950/   37905 | consumed samples:      7411200 | consumed tokens:  15178137600 | elapsed time per iteration (s): 0.23 | learning rate: 4.413E-06 | global batch size:   256 | lm loss: 3.374822E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.908 | TFLOPs: 28.40 |
7:  iteration    28960/   37905 | consumed samples:      7413760 | consumed tokens:  15183380480 | elapsed time per iteration (s): 0.23 | learning rate: 4.408E-06 | global batch size:   256 | lm loss: 3.317738E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.572 | TFLOPs: 27.76 |
7:  iteration    28970/   37905 | consumed samples:      7416320 | consumed tokens:  15188623360 | elapsed time per iteration (s): 0.27 | learning rate: 4.403E-06 | global batch size:   256 | lm loss: 3.406115E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.328 | TFLOPs: 24.59 |
7:  iteration    28980/   37905 | consumed samples:      7418880 | consumed tokens:  15193866240 | elapsed time per iteration (s): 0.24 | learning rate: 4.398E-06 | global batch size:   256 | lm loss: 3.400094E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.319 | TFLOPs: 26.96 |
7:  iteration    28990/   37905 | consumed samples:      7421440 | consumed tokens:  15199109120 | elapsed time per iteration (s): 0.24 | learning rate: 4.392E-06 | global batch size:   256 | lm loss: 3.369059E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1075.609 | TFLOPs: 27.40 |
7:  iteration    29000/   37905 | consumed samples:      7424000 | consumed tokens:  15204352000 | elapsed time per iteration (s): 0.25 | learning rate: 4.387E-06 | global batch size:   256 | lm loss: 3.342422E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.320 | TFLOPs: 26.45 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 29000 | lm loss value: 3.332451E+00 | lm loss PPL: 2.800689E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   29000 to checkpoints_83slr
0: [2022-11-28 17:17:05,137] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step29000 is begin to save!
0: [2022-11-28 17:17:05,141] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step29000/layer_01-model_00-model_states.pt...
0: [2022-11-28 17:17:05,214] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/layer_01-model_00-model_states.pt.
0: [2022-11-28 17:17:05,215] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step29000/layer_03-model_00-model_states.pt...
0: [2022-11-28 17:17:05,226] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/layer_03-model_00-model_states.pt.
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0: [2022-11-28 17:17:05,237] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/layer_04-model_00-model_states.pt.
0: [2022-11-28 17:17:05,237] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step29000/layer_05-model_00-model_states.pt...
0: [2022-11-28 17:17:05,248] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/layer_05-model_00-model_states.pt.
0: [2022-11-28 17:17:05,248] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step29000/layer_06-model_00-model_states.pt...
0: [2022-11-28 17:17:05,259] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/layer_06-model_00-model_states.pt.
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0: [2022-11-28 17:17:05,374] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:17:05,374] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
0: [2022-11-28 17:17:05,374] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
7: [2022-11-28 17:17:05,374] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
0: [2022-11-28 17:17:05,374] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
4: [2022-11-28 17:17:05,374] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:17:05,374] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
4: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
4: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
4: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
6: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt
6: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
2: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
0: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
0: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
4: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
1: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
1: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
4: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
2: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:17:05,375] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
2: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
3: [2022-11-28 17:17:05,375] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:17:05,376] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 17:17:05,376] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
5: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:17:05,377] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt
5: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
5: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:17:05,377] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt
7: [2022-11-28 17:17:05,377] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt
5: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
7: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
6: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:17:05,377] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt
6: [2022-11-28 17:17:05,377] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
3: [2022-11-28 17:17:05,378] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:17:05,378] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
3: [2022-11-28 17:17:05,378] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
1: [2022-11-28 17:17:05,379] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:17:05,379] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step29000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt
1: [2022-11-28 17:17:05,379] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now!
0:   successfully saved checkpoint at iteration   29000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 247.19
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7:  iteration    29040/   37905 | consumed samples:      7434240 | consumed tokens:  15225323520 | elapsed time per iteration (s): 0.23 | learning rate: 4.367E-06 | global batch size:   256 | lm loss: 3.327882E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.147 | TFLOPs: 28.38 |
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7:  iteration    29090/   37905 | consumed samples:      7447040 | consumed tokens:  15251537920 | elapsed time per iteration (s): 0.23 | learning rate: 4.342E-06 | global batch size:   256 | lm loss: 3.362859E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.116 | TFLOPs: 28.20 |
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7:  iteration    29110/   37905 | consumed samples:      7452160 | consumed tokens:  15262023680 | elapsed time per iteration (s): 0.23 | learning rate: 4.331E-06 | global batch size:   256 | lm loss: 3.350039E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.917 | TFLOPs: 28.66 |
7:  iteration    29120/   37905 | consumed samples:      7454720 | consumed tokens:  15267266560 | elapsed time per iteration (s): 0.24 | learning rate: 4.326E-06 | global batch size:   256 | lm loss: 3.335164E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.177 | TFLOPs: 26.73 |
7:  iteration    29130/   37905 | consumed samples:      7457280 | consumed tokens:  15272509440 | elapsed time per iteration (s): 0.25 | learning rate: 4.321E-06 | global batch size:   256 | lm loss: 3.342353E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.944 | TFLOPs: 25.83 |
7:  iteration    29140/   37905 | consumed samples:      7459840 | consumed tokens:  15277752320 | elapsed time per iteration (s): 0.25 | learning rate: 4.316E-06 | global batch size:   256 | lm loss: 3.339853E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.777 | TFLOPs: 25.70 |
7:  iteration    29150/   37905 | consumed samples:      7462400 | consumed tokens:  15282995200 | elapsed time per iteration (s): 0.25 | learning rate: 4.311E-06 | global batch size:   256 | lm loss: 3.366231E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1038.420 | TFLOPs: 26.45 |
7:  iteration    29160/   37905 | consumed samples:      7464960 | consumed tokens:  15288238080 | elapsed time per iteration (s): 0.23 | learning rate: 4.306E-06 | global batch size:   256 | lm loss: 3.353197E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.102 | TFLOPs: 28.13 |
7:  iteration    29170/   37905 | consumed samples:      7467520 | consumed tokens:  15293480960 | elapsed time per iteration (s): 0.25 | learning rate: 4.301E-06 | global batch size:   256 | lm loss: 3.335703E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1016.291 | TFLOPs: 25.89 |
7:  iteration    29180/   37905 | consumed samples:      7470080 | consumed tokens:  15298723840 | elapsed time per iteration (s): 0.24 | learning rate: 4.296E-06 | global batch size:   256 | lm loss: 3.365191E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.583 | TFLOPs: 26.89 |
7:  iteration    29190/   37905 | consumed samples:      7472640 | consumed tokens:  15303966720 | elapsed time per iteration (s): 0.24 | learning rate: 4.291E-06 | global batch size:   256 | lm loss: 3.347078E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.316 | TFLOPs: 26.73 |
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7:  iteration    29210/   37905 | consumed samples:      7477760 | consumed tokens:  15314452480 | elapsed time per iteration (s): 0.28 | learning rate: 4.281E-06 | global batch size:   256 | lm loss: 3.372598E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 914.627 | TFLOPs: 23.30 |
7:  iteration    29220/   37905 | consumed samples:      7480320 | consumed tokens:  15319695360 | elapsed time per iteration (s): 0.24 | learning rate: 4.276E-06 | global batch size:   256 | lm loss: 3.352386E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.499 | TFLOPs: 27.07 |
7:  iteration    29230/   37905 | consumed samples:      7482880 | consumed tokens:  15324938240 | elapsed time per iteration (s): 0.25 | learning rate: 4.271E-06 | global batch size:   256 | lm loss: 3.324397E+00 | grad norm: 0.598 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1020.258 | TFLOPs: 25.99 |
7:  iteration    29240/   37905 | consumed samples:      7485440 | consumed tokens:  15330181120 | elapsed time per iteration (s): 0.23 | learning rate: 4.266E-06 | global batch size:   256 | lm loss: 3.344437E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1125.597 | TFLOPs: 28.67 |
7:  iteration    29250/   37905 | consumed samples:      7488000 | consumed tokens:  15335424000 | elapsed time per iteration (s): 0.25 | learning rate: 4.261E-06 | global batch size:   256 | lm loss: 3.324223E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.301 | TFLOPs: 25.94 |
7:  iteration    29260/   37905 | consumed samples:      7490560 | consumed tokens:  15340666880 | elapsed time per iteration (s): 0.23 | learning rate: 4.256E-06 | global batch size:   256 | lm loss: 3.336687E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1126.067 | TFLOPs: 28.69 |
7:  iteration    29270/   37905 | consumed samples:      7493120 | consumed tokens:  15345909760 | elapsed time per iteration (s): 0.26 | learning rate: 4.251E-06 | global batch size:   256 | lm loss: 3.344954E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.148 | TFLOPs: 25.22 |
7:  iteration    29280/   37905 | consumed samples:      7495680 | consumed tokens:  15351152640 | elapsed time per iteration (s): 0.23 | learning rate: 4.246E-06 | global batch size:   256 | lm loss: 3.359242E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.855 | TFLOPs: 28.22 |
7:  iteration    29290/   37905 | consumed samples:      7498240 | consumed tokens:  15356395520 | elapsed time per iteration (s): 0.24 | learning rate: 4.241E-06 | global batch size:   256 | lm loss: 3.338356E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.401 | TFLOPs: 26.96 |
7:  iteration    29300/   37905 | consumed samples:      7500800 | consumed tokens:  15361638400 | elapsed time per iteration (s): 0.25 | learning rate: 4.236E-06 | global batch size:   256 | lm loss: 3.358277E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.580 | TFLOPs: 26.31 |
7:  iteration    29310/   37905 | consumed samples:      7503360 | consumed tokens:  15366881280 | elapsed time per iteration (s): 0.23 | learning rate: 4.231E-06 | global batch size:   256 | lm loss: 3.307542E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.273 | TFLOPs: 28.51 |
7:  iteration    29320/   37905 | consumed samples:      7505920 | consumed tokens:  15372124160 | elapsed time per iteration (s): 0.28 | learning rate: 4.226E-06 | global batch size:   256 | lm loss: 3.376090E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.880 | TFLOPs: 23.20 |
7:  iteration    29330/   37905 | consumed samples:      7508480 | consumed tokens:  15377367040 | elapsed time per iteration (s): 0.23 | learning rate: 4.221E-06 | global batch size:   256 | lm loss: 3.341172E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.390 | TFLOPs: 28.21 |
7:  iteration    29340/   37905 | consumed samples:      7511040 | consumed tokens:  15382609920 | elapsed time per iteration (s): 0.26 | learning rate: 4.216E-06 | global batch size:   256 | lm loss: 3.325716E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.998 | TFLOPs: 24.91 |
7:  iteration    29350/   37905 | consumed samples:      7513600 | consumed tokens:  15387852800 | elapsed time per iteration (s): 0.23 | learning rate: 4.211E-06 | global batch size:   256 | lm loss: 3.328639E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1110.435 | TFLOPs: 28.29 |
7:  iteration    29360/   37905 | consumed samples:      7516160 | consumed tokens:  15393095680 | elapsed time per iteration (s): 0.26 | learning rate: 4.206E-06 | global batch size:   256 | lm loss: 3.367377E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.855 | TFLOPs: 24.68 |
7:  iteration    29370/   37905 | consumed samples:      7518720 | consumed tokens:  15398338560 | elapsed time per iteration (s): 0.23 | learning rate: 4.201E-06 | global batch size:   256 | lm loss: 3.347452E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.071 | TFLOPs: 27.90 |
7:  iteration    29380/   37905 | consumed samples:      7521280 | consumed tokens:  15403581440 | elapsed time per iteration (s): 0.24 | learning rate: 4.196E-06 | global batch size:   256 | lm loss: 3.378727E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.323 | TFLOPs: 27.29 |
7:  iteration    29390/   37905 | consumed samples:      7523840 | consumed tokens:  15408824320 | elapsed time per iteration (s): 0.24 | learning rate: 4.192E-06 | global batch size:   256 | lm loss: 3.351540E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.110 | TFLOPs: 26.88 |
7:  iteration    29400/   37905 | consumed samples:      7526400 | consumed tokens:  15414067200 | elapsed time per iteration (s): 0.23 | learning rate: 4.187E-06 | global batch size:   256 | lm loss: 3.384190E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.975 | TFLOPs: 28.10 |
7:  iteration    29410/   37905 | consumed samples:      7528960 | consumed tokens:  15419310080 | elapsed time per iteration (s): 0.25 | learning rate: 4.182E-06 | global batch size:   256 | lm loss: 3.297797E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.042 | TFLOPs: 25.73 |
7:  iteration    29420/   37905 | consumed samples:      7531520 | consumed tokens:  15424552960 | elapsed time per iteration (s): 0.23 | learning rate: 4.177E-06 | global batch size:   256 | lm loss: 3.303443E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1089.374 | TFLOPs: 27.75 |
7:  iteration    29430/   37905 | consumed samples:      7534080 | consumed tokens:  15429795840 | elapsed time per iteration (s): 0.24 | learning rate: 4.172E-06 | global batch size:   256 | lm loss: 3.378295E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.111 | TFLOPs: 27.44 |
7:  iteration    29440/   37905 | consumed samples:      7536640 | consumed tokens:  15435038720 | elapsed time per iteration (s): 0.23 | learning rate: 4.167E-06 | global batch size:   256 | lm loss: 3.357513E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.809 | TFLOPs: 28.63 |
7:  iteration    29450/   37905 | consumed samples:      7539200 | consumed tokens:  15440281600 | elapsed time per iteration (s): 0.23 | learning rate: 4.162E-06 | global batch size:   256 | lm loss: 3.341077E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.294 | TFLOPs: 28.34 |
7:  iteration    29460/   37905 | consumed samples:      7541760 | consumed tokens:  15445524480 | elapsed time per iteration (s): 0.25 | learning rate: 4.157E-06 | global batch size:   256 | lm loss: 3.380717E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.476 | TFLOPs: 26.15 |
7:  iteration    29470/   37905 | consumed samples:      7544320 | consumed tokens:  15450767360 | elapsed time per iteration (s): 0.24 | learning rate: 4.152E-06 | global batch size:   256 | lm loss: 3.363942E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1086.928 | TFLOPs: 27.69 |
7:  iteration    29480/   37905 | consumed samples:      7546880 | consumed tokens:  15456010240 | elapsed time per iteration (s): 0.26 | learning rate: 4.147E-06 | global batch size:   256 | lm loss: 3.374098E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.980 | TFLOPs: 25.37 |
7:  iteration    29490/   37905 | consumed samples:      7549440 | consumed tokens:  15461253120 | elapsed time per iteration (s): 0.23 | learning rate: 4.143E-06 | global batch size:   256 | lm loss: 3.328728E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.322 | TFLOPs: 27.85 |
7:  iteration    29500/   37905 | consumed samples:      7552000 | consumed tokens:  15466496000 | elapsed time per iteration (s): 0.24 | learning rate: 4.138E-06 | global batch size:   256 | lm loss: 3.380091E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.218 | TFLOPs: 26.88 |
7:  iteration    29510/   37905 | consumed samples:      7554560 | consumed tokens:  15471738880 | elapsed time per iteration (s): 0.26 | learning rate: 4.133E-06 | global batch size:   256 | lm loss: 3.369926E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 979.489 | TFLOPs: 24.95 |
7:  iteration    29520/   37905 | consumed samples:      7557120 | consumed tokens:  15476981760 | elapsed time per iteration (s): 0.23 | learning rate: 4.128E-06 | global batch size:   256 | lm loss: 3.363344E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.345 | TFLOPs: 27.80 |
7:  iteration    29530/   37905 | consumed samples:      7559680 | consumed tokens:  15482224640 | elapsed time per iteration (s): 0.23 | learning rate: 4.123E-06 | global batch size:   256 | lm loss: 3.319538E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1114.813 | TFLOPs: 28.40 |
7:  iteration    29540/   37905 | consumed samples:      7562240 | consumed tokens:  15487467520 | elapsed time per iteration (s): 0.25 | learning rate: 4.118E-06 | global batch size:   256 | lm loss: 3.368830E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.234 | TFLOPs: 26.09 |
7:  iteration    29550/   37905 | consumed samples:      7564800 | consumed tokens:  15492710400 | elapsed time per iteration (s): 0.24 | learning rate: 4.113E-06 | global batch size:   256 | lm loss: 3.330401E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1066.438 | TFLOPs: 27.17 |
7:  iteration    29560/   37905 | consumed samples:      7567360 | consumed tokens:  15497953280 | elapsed time per iteration (s): 0.23 | learning rate: 4.108E-06 | global batch size:   256 | lm loss: 3.343681E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.122 | TFLOPs: 28.20 |
7:  iteration    29570/   37905 | consumed samples:      7569920 | consumed tokens:  15503196160 | elapsed time per iteration (s): 0.23 | learning rate: 4.104E-06 | global batch size:   256 | lm loss: 3.350520E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1111.219 | TFLOPs: 28.31 |
7:  iteration    29580/   37905 | consumed samples:      7572480 | consumed tokens:  15508439040 | elapsed time per iteration (s): 0.26 | learning rate: 4.099E-06 | global batch size:   256 | lm loss: 3.368330E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.888 | TFLOPs: 25.22 |
7:  iteration    29590/   37905 | consumed samples:      7575040 | consumed tokens:  15513681920 | elapsed time per iteration (s): 0.25 | learning rate: 4.094E-06 | global batch size:   256 | lm loss: 3.340679E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.425 | TFLOPs: 26.53 |
7:  iteration    29600/   37905 | consumed samples:      7577600 | consumed tokens:  15518924800 | elapsed time per iteration (s): 0.25 | learning rate: 4.089E-06 | global batch size:   256 | lm loss: 3.386328E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.104 | TFLOPs: 25.73 |
7:  iteration    29610/   37905 | consumed samples:      7580160 | consumed tokens:  15524167680 | elapsed time per iteration (s): 0.23 | learning rate: 4.084E-06 | global batch size:   256 | lm loss: 3.320084E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1113.083 | TFLOPs: 28.36 |
7:  iteration    29620/   37905 | consumed samples:      7582720 | consumed tokens:  15529410560 | elapsed time per iteration (s): 0.23 | learning rate: 4.080E-06 | global batch size:   256 | lm loss: 3.358088E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.730 | TFLOPs: 28.09 |
7:  iteration    29630/   37905 | consumed samples:      7585280 | consumed tokens:  15534653440 | elapsed time per iteration (s): 0.24 | learning rate: 4.075E-06 | global batch size:   256 | lm loss: 3.317907E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.427 | TFLOPs: 26.79 |
7:  iteration    29640/   37905 | consumed samples:      7587840 | consumed tokens:  15539896320 | elapsed time per iteration (s): 0.23 | learning rate: 4.070E-06 | global batch size:   256 | lm loss: 3.361112E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1121.096 | TFLOPs: 28.56 |
7:  iteration    29650/   37905 | consumed samples:      7590400 | consumed tokens:  15545139200 | elapsed time per iteration (s): 0.24 | learning rate: 4.065E-06 | global batch size:   256 | lm loss: 3.342533E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.566 | TFLOPs: 26.79 |
7:  iteration    29660/   37905 | consumed samples:      7592960 | consumed tokens:  15550382080 | elapsed time per iteration (s): 0.24 | learning rate: 4.060E-06 | global batch size:   256 | lm loss: 3.339626E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.965 | TFLOPs: 27.31 |
7:  iteration    29670/   37905 | consumed samples:      7595520 | consumed tokens:  15555624960 | elapsed time per iteration (s): 0.25 | learning rate: 4.055E-06 | global batch size:   256 | lm loss: 3.349411E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1041.539 | TFLOPs: 26.53 |
7:  iteration    29680/   37905 | consumed samples:      7598080 | consumed tokens:  15560867840 | elapsed time per iteration (s): 0.24 | learning rate: 4.051E-06 | global batch size:   256 | lm loss: 3.374002E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1049.693 | TFLOPs: 26.74 |
7:  iteration    29690/   37905 | consumed samples:      7600640 | consumed tokens:  15566110720 | elapsed time per iteration (s): 0.23 | learning rate: 4.046E-06 | global batch size:   256 | lm loss: 3.316508E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.408 | TFLOPs: 28.59 |
7:  iteration    29700/   37905 | consumed samples:      7603200 | consumed tokens:  15571353600 | elapsed time per iteration (s): 0.25 | learning rate: 4.041E-06 | global batch size:   256 | lm loss: 3.335908E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.163 | TFLOPs: 26.50 |
7:  iteration    29710/   37905 | consumed samples:      7605760 | consumed tokens:  15576596480 | elapsed time per iteration (s): 0.23 | learning rate: 4.036E-06 | global batch size:   256 | lm loss: 3.335628E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1095.977 | TFLOPs: 27.92 |
7:  iteration    29720/   37905 | consumed samples:      7608320 | consumed tokens:  15581839360 | elapsed time per iteration (s): 0.24 | learning rate: 4.032E-06 | global batch size:   256 | lm loss: 3.341118E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.031 | TFLOPs: 26.83 |
7:  iteration    29730/   37905 | consumed samples:      7610880 | consumed tokens:  15587082240 | elapsed time per iteration (s): 0.23 | learning rate: 4.027E-06 | global batch size:   256 | lm loss: 3.371619E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.698 | TFLOPs: 27.89 |
7:  iteration    29740/   37905 | consumed samples:      7613440 | consumed tokens:  15592325120 | elapsed time per iteration (s): 0.24 | learning rate: 4.022E-06 | global batch size:   256 | lm loss: 3.347957E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.699 | TFLOPs: 27.43 |
7:  iteration    29750/   37905 | consumed samples:      7616000 | consumed tokens:  15597568000 | elapsed time per iteration (s): 0.24 | learning rate: 4.017E-06 | global batch size:   256 | lm loss: 3.336262E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1063.566 | TFLOPs: 27.09 |
7:  iteration    29760/   37905 | consumed samples:      7618560 | consumed tokens:  15602810880 | elapsed time per iteration (s): 0.23 | learning rate: 4.013E-06 | global batch size:   256 | lm loss: 3.324416E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1124.031 | TFLOPs: 28.63 |
7:  iteration    29770/   37905 | consumed samples:      7621120 | consumed tokens:  15608053760 | elapsed time per iteration (s): 0.28 | learning rate: 4.008E-06 | global batch size:   256 | lm loss: 3.348884E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 920.014 | TFLOPs: 23.44 |
7:  iteration    29780/   37905 | consumed samples:      7623680 | consumed tokens:  15613296640 | elapsed time per iteration (s): 0.23 | learning rate: 4.003E-06 | global batch size:   256 | lm loss: 3.300060E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.713 | TFLOPs: 28.35 |
7:  iteration    29790/   37905 | consumed samples:      7626240 | consumed tokens:  15618539520 | elapsed time per iteration (s): 0.25 | learning rate: 3.998E-06 | global batch size:   256 | lm loss: 3.349862E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.246 | TFLOPs: 26.12 |
7:  iteration    29800/   37905 | consumed samples:      7628800 | consumed tokens:  15623782400 | elapsed time per iteration (s): 0.24 | learning rate: 3.994E-06 | global batch size:   256 | lm loss: 3.377346E+00 | grad norm: 0.609 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.233 | TFLOPs: 27.72 |
7:  iteration    29810/   37905 | consumed samples:      7631360 | consumed tokens:  15629025280 | elapsed time per iteration (s): 0.24 | learning rate: 3.989E-06 | global batch size:   256 | lm loss: 3.319547E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.715 | TFLOPs: 27.66 |
7:  iteration    29820/   37905 | consumed samples:      7633920 | consumed tokens:  15634268160 | elapsed time per iteration (s): 0.24 | learning rate: 3.984E-06 | global batch size:   256 | lm loss: 3.326987E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.371 | TFLOPs: 27.29 |
7:  iteration    29830/   37905 | consumed samples:      7636480 | consumed tokens:  15639511040 | elapsed time per iteration (s): 0.25 | learning rate: 3.979E-06 | global batch size:   256 | lm loss: 3.374065E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1039.056 | TFLOPs: 26.47 |
7:  iteration    29840/   37905 | consumed samples:      7639040 | consumed tokens:  15644753920 | elapsed time per iteration (s): 0.24 | learning rate: 3.975E-06 | global batch size:   256 | lm loss: 3.306350E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1082.366 | TFLOPs: 27.57 |
7:  iteration    29850/   37905 | consumed samples:      7641600 | consumed tokens:  15649996800 | elapsed time per iteration (s): 0.23 | learning rate: 3.970E-06 | global batch size:   256 | lm loss: 3.300898E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.317 | TFLOPs: 27.95 |
7:  iteration    29860/   37905 | consumed samples:      7644160 | consumed tokens:  15655239680 | elapsed time per iteration (s): 0.26 | learning rate: 3.965E-06 | global batch size:   256 | lm loss: 3.335732E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.709 | TFLOPs: 25.44 |
7:  iteration    29870/   37905 | consumed samples:      7646720 | consumed tokens:  15660482560 | elapsed time per iteration (s): 0.23 | learning rate: 3.961E-06 | global batch size:   256 | lm loss: 3.317703E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.513 | TFLOPs: 28.27 |
7:  iteration    29880/   37905 | consumed samples:      7649280 | consumed tokens:  15665725440 | elapsed time per iteration (s): 0.26 | learning rate: 3.956E-06 | global batch size:   256 | lm loss: 3.347351E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.328 | TFLOPs: 24.92 |
7:  iteration    29890/   37905 | consumed samples:      7651840 | consumed tokens:  15670968320 | elapsed time per iteration (s): 0.23 | learning rate: 3.951E-06 | global batch size:   256 | lm loss: 3.350550E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.540 | TFLOPs: 28.27 |
7:  iteration    29900/   37905 | consumed samples:      7654400 | consumed tokens:  15676211200 | elapsed time per iteration (s): 0.26 | learning rate: 3.947E-06 | global batch size:   256 | lm loss: 3.369554E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.171 | TFLOPs: 24.72 |
7:  iteration    29910/   37905 | consumed samples:      7656960 | consumed tokens:  15681454080 | elapsed time per iteration (s): 0.25 | learning rate: 3.942E-06 | global batch size:   256 | lm loss: 3.336804E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.369 | TFLOPs: 25.61 |
7:  iteration    29920/   37905 | consumed samples:      7659520 | consumed tokens:  15686696960 | elapsed time per iteration (s): 0.23 | learning rate: 3.937E-06 | global batch size:   256 | lm loss: 3.350952E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1118.773 | TFLOPs: 28.50 |
7:  iteration    29930/   37905 | consumed samples:      7662080 | consumed tokens:  15691939840 | elapsed time per iteration (s): 0.27 | learning rate: 3.933E-06 | global batch size:   256 | lm loss: 3.327583E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.488 | TFLOPs: 23.86 |
7:  iteration    29940/   37905 | consumed samples:      7664640 | consumed tokens:  15697182720 | elapsed time per iteration (s): 0.23 | learning rate: 3.928E-06 | global batch size:   256 | lm loss: 3.325438E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.943 | TFLOPs: 28.28 |
7:  iteration    29950/   37905 | consumed samples:      7667200 | consumed tokens:  15702425600 | elapsed time per iteration (s): 0.26 | learning rate: 3.923E-06 | global batch size:   256 | lm loss: 3.341000E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.608 | TFLOPs: 24.85 |
7:  iteration    29960/   37905 | consumed samples:      7669760 | consumed tokens:  15707668480 | elapsed time per iteration (s): 0.23 | learning rate: 3.919E-06 | global batch size:   256 | lm loss: 3.338527E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.170 | TFLOPs: 28.08 |
7:  iteration    29970/   37905 | consumed samples:      7672320 | consumed tokens:  15712911360 | elapsed time per iteration (s): 0.23 | learning rate: 3.914E-06 | global batch size:   256 | lm loss: 3.320897E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1091.841 | TFLOPs: 27.81 |
7:  iteration    29980/   37905 | consumed samples:      7674880 | consumed tokens:  15718154240 | elapsed time per iteration (s): 0.25 | learning rate: 3.909E-06 | global batch size:   256 | lm loss: 3.342033E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.901 | TFLOPs: 25.80 |
7:  iteration    29990/   37905 | consumed samples:      7677440 | consumed tokens:  15723397120 | elapsed time per iteration (s): 0.26 | learning rate: 3.905E-06 | global batch size:   256 | lm loss: 3.354004E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.846 | TFLOPs: 25.14 |
0: [2022-11-28 17:21:08,343] [INFO] [logging.py:68:log_dist] [Rank 0] step=30000, skipped=0, lr=[3.899987415428044e-06, 3.899987415428044e-06, 3.899987415428044e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    30000/   37905 | consumed samples:      7680000 | consumed tokens:  15728640000 | elapsed time per iteration (s): 0.24 | learning rate: 3.900E-06 | global batch size:   256 | lm loss: 3.359916E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.018 | TFLOPs: 27.36 |
0: steps: 30000 loss: 3.3034 iter time (s): 0.240 samples/sec: 1067.440
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 30000 | lm loss value: 3.303981E+00 | lm loss PPL: 2.722078E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   30000 to checkpoints_83slr
0: [2022-11-28 17:21:08,432] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step30000 is begin to save!
0: [2022-11-28 17:21:08,435] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_01-model_00-model_states.pt...
0: [2022-11-28 17:21:08,507] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_01-model_00-model_states.pt.
0: [2022-11-28 17:21:08,508] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_03-model_00-model_states.pt...
0: [2022-11-28 17:21:08,519] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_03-model_00-model_states.pt.
0: [2022-11-28 17:21:08,520] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_04-model_00-model_states.pt...
0: [2022-11-28 17:21:08,530] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_04-model_00-model_states.pt.
0: [2022-11-28 17:21:08,531] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_05-model_00-model_states.pt...
0: [2022-11-28 17:21:08,541] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_05-model_00-model_states.pt.
0: [2022-11-28 17:21:08,542] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_06-model_00-model_states.pt...
0: [2022-11-28 17:21:08,552] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_06-model_00-model_states.pt.
0: [2022-11-28 17:21:08,553] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_07-model_00-model_states.pt...
0: [2022-11-28 17:21:08,563] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_07-model_00-model_states.pt.
0: [2022-11-28 17:21:08,563] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_08-model_00-model_states.pt...
0: [2022-11-28 17:21:08,574] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_08-model_00-model_states.pt.
0: [2022-11-28 17:21:08,574] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_09-model_00-model_states.pt...
0: [2022-11-28 17:21:08,585] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_09-model_00-model_states.pt.
0: [2022-11-28 17:21:08,585] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_10-model_00-model_states.pt...
0: [2022-11-28 17:21:08,596] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_10-model_00-model_states.pt.
0: [2022-11-28 17:21:08,597] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_11-model_00-model_states.pt...
0: [2022-11-28 17:21:08,607] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_11-model_00-model_states.pt.
0: [2022-11-28 17:21:08,608] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_12-model_00-model_states.pt...
0: [2022-11-28 17:21:08,618] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_12-model_00-model_states.pt.
0: [2022-11-28 17:21:08,618] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/layer_14-model_00-model_states.pt...
0: [2022-11-28 17:21:08,619] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/layer_14-model_00-model_states.pt.
0: [2022-11-28 17:21:08,620] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step30000/mp_rank_00_model_states.pt
0: [2022-11-28 17:21:08,620] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/mp_rank_00_model_states.pt...
0: [2022-11-28 17:21:08,622] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/mp_rank_00_model_states.pt.
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt...
2: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:21:08,651] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step30000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:21:08,670] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:21:08,670] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:21:08,670] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt
3: [2022-11-28 17:21:08,670] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
5: [2022-11-28 17:21:08,670] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:21:08,671] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt
5: [2022-11-28 17:21:08,671] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
7: [2022-11-28 17:21:08,671] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:21:08,671] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt
7: [2022-11-28 17:21:08,671] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
2: [2022-11-28 17:21:08,671] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:21:08,671] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt
2: [2022-11-28 17:21:08,671] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
6: [2022-11-28 17:21:08,671] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:21:08,671] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt
6: [2022-11-28 17:21:08,671] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
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1: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:21:08,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
1: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
7: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:21:08,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt
7: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
2: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:21:08,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
1: [2022-11-28 17:21:08,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt
2: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
1: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
2: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:21:08,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
2: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
7: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:21:08,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
3: [2022-11-28 17:21:08,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
7: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
3: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
4: [2022-11-28 17:21:08,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt
4: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
6: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt
1: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt
3: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt
0: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
0: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
1: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
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0: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
4: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
4: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
5: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
5: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
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5: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt
5: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
7: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt
0: [2022-11-28 17:21:08,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt
7: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
0: [2022-11-28 17:21:08,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
2: [2022-11-28 17:21:08,680] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:21:08,680] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
2: [2022-11-28 17:21:08,680] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
6: [2022-11-28 17:21:08,680] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:21:08,680] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt
6: [2022-11-28 17:21:08,680] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
4: [2022-11-28 17:21:08,680] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:21:08,680] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step30000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
4: [2022-11-28 17:21:08,680] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now!
0:   successfully saved checkpoint at iteration   30000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 251.99
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7:  iteration    30120/   37905 | consumed samples:      7710720 | consumed tokens:  15791554560 | elapsed time per iteration (s): 0.36 | learning rate: 3.845E-06 | global batch size:   256 | lm loss: 3.335387E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 711.092 | TFLOPs: 18.12 |
7:  iteration    30130/   37905 | consumed samples:      7713280 | consumed tokens:  15796797440 | elapsed time per iteration (s): 0.31 | learning rate: 3.840E-06 | global batch size:   256 | lm loss: 3.346221E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 825.266 | TFLOPs: 21.02 |
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7:  iteration    30150/   37905 | consumed samples:      7718400 | consumed tokens:  15807283200 | elapsed time per iteration (s): 0.27 | learning rate: 3.831E-06 | global batch size:   256 | lm loss: 3.344970E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.086 | TFLOPs: 24.10 |
7:  iteration    30160/   37905 | consumed samples:      7720960 | consumed tokens:  15812526080 | elapsed time per iteration (s): 0.32 | learning rate: 3.827E-06 | global batch size:   256 | lm loss: 3.356987E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 801.135 | TFLOPs: 20.41 |
7:  iteration    30170/   37905 | consumed samples:      7723520 | consumed tokens:  15817768960 | elapsed time per iteration (s): 0.46 | learning rate: 3.822E-06 | global batch size:   256 | lm loss: 3.335940E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 559.486 | TFLOPs: 14.25 |
7:  iteration    30180/   37905 | consumed samples:      7726080 | consumed tokens:  15823011840 | elapsed time per iteration (s): 0.30 | learning rate: 3.817E-06 | global batch size:   256 | lm loss: 3.344663E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 859.676 | TFLOPs: 21.90 |
7:  iteration    30190/   37905 | consumed samples:      7728640 | consumed tokens:  15828254720 | elapsed time per iteration (s): 0.31 | learning rate: 3.813E-06 | global batch size:   256 | lm loss: 3.319410E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 819.261 | TFLOPs: 20.87 |
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7:  iteration    30210/   37905 | consumed samples:      7733760 | consumed tokens:  15838740480 | elapsed time per iteration (s): 0.30 | learning rate: 3.804E-06 | global batch size:   256 | lm loss: 3.328903E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 841.541 | TFLOPs: 21.44 |
7:  iteration    30220/   37905 | consumed samples:      7736320 | consumed tokens:  15843983360 | elapsed time per iteration (s): 0.35 | learning rate: 3.799E-06 | global batch size:   256 | lm loss: 3.342856E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 740.856 | TFLOPs: 18.87 |
7:  iteration    30230/   37905 | consumed samples:      7738880 | consumed tokens:  15849226240 | elapsed time per iteration (s): 0.31 | learning rate: 3.795E-06 | global batch size:   256 | lm loss: 3.331160E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 834.062 | TFLOPs: 21.25 |
7:  iteration    30240/   37905 | consumed samples:      7741440 | consumed tokens:  15854469120 | elapsed time per iteration (s): 0.28 | learning rate: 3.790E-06 | global batch size:   256 | lm loss: 3.310388E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.589 | TFLOPs: 23.20 |
7:  iteration    30250/   37905 | consumed samples:      7744000 | consumed tokens:  15859712000 | elapsed time per iteration (s): 0.30 | learning rate: 3.786E-06 | global batch size:   256 | lm loss: 3.371924E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 847.921 | TFLOPs: 21.60 |
7:  iteration    30260/   37905 | consumed samples:      7746560 | consumed tokens:  15864954880 | elapsed time per iteration (s): 0.31 | learning rate: 3.781E-06 | global batch size:   256 | lm loss: 3.375761E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 830.850 | TFLOPs: 21.17 |
7:  iteration    30270/   37905 | consumed samples:      7749120 | consumed tokens:  15870197760 | elapsed time per iteration (s): 0.28 | learning rate: 3.777E-06 | global batch size:   256 | lm loss: 3.359388E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.741 | TFLOPs: 23.20 |
7:  iteration    30280/   37905 | consumed samples:      7751680 | consumed tokens:  15875440640 | elapsed time per iteration (s): 0.31 | learning rate: 3.772E-06 | global batch size:   256 | lm loss: 3.363335E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 823.289 | TFLOPs: 20.97 |
7:  iteration    30290/   37905 | consumed samples:      7754240 | consumed tokens:  15880683520 | elapsed time per iteration (s): 0.32 | learning rate: 3.768E-06 | global batch size:   256 | lm loss: 3.370160E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 808.495 | TFLOPs: 20.60 |
7:  iteration    30300/   37905 | consumed samples:      7756800 | consumed tokens:  15885926400 | elapsed time per iteration (s): 0.28 | learning rate: 3.763E-06 | global batch size:   256 | lm loss: 3.320381E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.895 | TFLOPs: 23.49 |
7:  iteration    30310/   37905 | consumed samples:      7759360 | consumed tokens:  15891169280 | elapsed time per iteration (s): 0.29 | learning rate: 3.759E-06 | global batch size:   256 | lm loss: 3.311937E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.255 | TFLOPs: 22.22 |
7:  iteration    30320/   37905 | consumed samples:      7761920 | consumed tokens:  15896412160 | elapsed time per iteration (s): 0.94 | learning rate: 3.754E-06 | global batch size:   256 | lm loss: 3.373248E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 272.688 | TFLOPs: 6.95 |
7:  iteration    30330/   37905 | consumed samples:      7764480 | consumed tokens:  15901655040 | elapsed time per iteration (s): 0.30 | learning rate: 3.750E-06 | global batch size:   256 | lm loss: 3.334281E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 860.744 | TFLOPs: 21.93 |
7:  iteration    30340/   37905 | consumed samples:      7767040 | consumed tokens:  15906897920 | elapsed time per iteration (s): 0.32 | learning rate: 3.745E-06 | global batch size:   256 | lm loss: 3.346976E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 792.010 | TFLOPs: 20.18 |
7:  iteration    30350/   37905 | consumed samples:      7769600 | consumed tokens:  15912140800 | elapsed time per iteration (s): 0.28 | learning rate: 3.741E-06 | global batch size:   256 | lm loss: 3.315229E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 898.644 | TFLOPs: 22.89 |
7:  iteration    30360/   37905 | consumed samples:      7772160 | consumed tokens:  15917383680 | elapsed time per iteration (s): 0.32 | learning rate: 3.737E-06 | global batch size:   256 | lm loss: 3.361303E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 800.984 | TFLOPs: 20.41 |
7:  iteration    30370/   37905 | consumed samples:      7774720 | consumed tokens:  15922626560 | elapsed time per iteration (s): 0.28 | learning rate: 3.732E-06 | global batch size:   256 | lm loss: 3.348167E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.421 | TFLOPs: 23.12 |
7:  iteration    30380/   37905 | consumed samples:      7777280 | consumed tokens:  15927869440 | elapsed time per iteration (s): 0.32 | learning rate: 3.728E-06 | global batch size:   256 | lm loss: 3.372186E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 806.953 | TFLOPs: 20.56 |
7:  iteration    30390/   37905 | consumed samples:      7779840 | consumed tokens:  15933112320 | elapsed time per iteration (s): 0.30 | learning rate: 3.723E-06 | global batch size:   256 | lm loss: 3.371280E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 853.440 | TFLOPs: 21.74 |
7:  iteration    30400/   37905 | consumed samples:      7782400 | consumed tokens:  15938355200 | elapsed time per iteration (s): 0.29 | learning rate: 3.719E-06 | global batch size:   256 | lm loss: 3.352253E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.030 | TFLOPs: 22.55 |
7:  iteration    30410/   37905 | consumed samples:      7784960 | consumed tokens:  15943598080 | elapsed time per iteration (s): 0.29 | learning rate: 3.714E-06 | global batch size:   256 | lm loss: 3.321893E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.178 | TFLOPs: 22.32 |
7:  iteration    30420/   37905 | consumed samples:      7787520 | consumed tokens:  15948840960 | elapsed time per iteration (s): 0.29 | learning rate: 3.710E-06 | global batch size:   256 | lm loss: 3.321824E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.578 | TFLOPs: 22.36 |
7:  iteration    30430/   37905 | consumed samples:      7790080 | consumed tokens:  15954083840 | elapsed time per iteration (s): 0.35 | learning rate: 3.706E-06 | global batch size:   256 | lm loss: 3.331436E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 726.317 | TFLOPs: 18.50 |
7:  iteration    30440/   37905 | consumed samples:      7792640 | consumed tokens:  15959326720 | elapsed time per iteration (s): 0.29 | learning rate: 3.701E-06 | global batch size:   256 | lm loss: 3.364992E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.281 | TFLOPs: 22.55 |
7:  iteration    30450/   37905 | consumed samples:      7795200 | consumed tokens:  15964569600 | elapsed time per iteration (s): 0.24 | learning rate: 3.697E-06 | global batch size:   256 | lm loss: 3.315169E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.449 | TFLOPs: 26.66 |
7:  iteration    30460/   37905 | consumed samples:      7797760 | consumed tokens:  15969812480 | elapsed time per iteration (s): 0.33 | learning rate: 3.692E-06 | global batch size:   256 | lm loss: 3.319584E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 764.921 | TFLOPs: 19.49 |
7:  iteration    30470/   37905 | consumed samples:      7800320 | consumed tokens:  15975055360 | elapsed time per iteration (s): 0.28 | learning rate: 3.688E-06 | global batch size:   256 | lm loss: 3.362450E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.046 | TFLOPs: 23.46 |
7:  iteration    30480/   37905 | consumed samples:      7802880 | consumed tokens:  15980298240 | elapsed time per iteration (s): 0.33 | learning rate: 3.684E-06 | global batch size:   256 | lm loss: 3.333352E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 773.793 | TFLOPs: 19.71 |
7:  iteration    30490/   37905 | consumed samples:      7805440 | consumed tokens:  15985541120 | elapsed time per iteration (s): 0.31 | learning rate: 3.679E-06 | global batch size:   256 | lm loss: 3.351186E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 832.597 | TFLOPs: 21.21 |
7:  iteration    30500/   37905 | consumed samples:      7808000 | consumed tokens:  15990784000 | elapsed time per iteration (s): 0.28 | learning rate: 3.675E-06 | global batch size:   256 | lm loss: 3.316315E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.955 | TFLOPs: 23.56 |
7:  iteration    30510/   37905 | consumed samples:      7810560 | consumed tokens:  15996026880 | elapsed time per iteration (s): 0.35 | learning rate: 3.670E-06 | global batch size:   256 | lm loss: 3.362524E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 741.283 | TFLOPs: 18.88 |
7:  iteration    30520/   37905 | consumed samples:      7813120 | consumed tokens:  16001269760 | elapsed time per iteration (s): 0.26 | learning rate: 3.666E-06 | global batch size:   256 | lm loss: 3.342106E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.588 | TFLOPs: 25.39 |
7:  iteration    30530/   37905 | consumed samples:      7815680 | consumed tokens:  16006512640 | elapsed time per iteration (s): 0.29 | learning rate: 3.662E-06 | global batch size:   256 | lm loss: 3.329585E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 882.121 | TFLOPs: 22.47 |
7:  iteration    30540/   37905 | consumed samples:      7818240 | consumed tokens:  16011755520 | elapsed time per iteration (s): 0.30 | learning rate: 3.657E-06 | global batch size:   256 | lm loss: 3.308600E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 845.670 | TFLOPs: 21.54 |
7:  iteration    30550/   37905 | consumed samples:      7820800 | consumed tokens:  16016998400 | elapsed time per iteration (s): 0.30 | learning rate: 3.653E-06 | global batch size:   256 | lm loss: 3.369046E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 867.309 | TFLOPs: 22.09 |
7:  iteration    30560/   37905 | consumed samples:      7823360 | consumed tokens:  16022241280 | elapsed time per iteration (s): 0.29 | learning rate: 3.649E-06 | global batch size:   256 | lm loss: 3.364650E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.223 | TFLOPs: 22.27 |
7:  iteration    30570/   37905 | consumed samples:      7825920 | consumed tokens:  16027484160 | elapsed time per iteration (s): 0.29 | learning rate: 3.644E-06 | global batch size:   256 | lm loss: 3.381905E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 893.041 | TFLOPs: 22.75 |
7:  iteration    30580/   37905 | consumed samples:      7828480 | consumed tokens:  16032727040 | elapsed time per iteration (s): 0.30 | learning rate: 3.640E-06 | global batch size:   256 | lm loss: 3.294768E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 856.413 | TFLOPs: 21.82 |
7:  iteration    30590/   37905 | consumed samples:      7831040 | consumed tokens:  16037969920 | elapsed time per iteration (s): 0.26 | learning rate: 3.636E-06 | global batch size:   256 | lm loss: 3.358306E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.279 | TFLOPs: 24.97 |
7:  iteration    30600/   37905 | consumed samples:      7833600 | consumed tokens:  16043212800 | elapsed time per iteration (s): 0.31 | learning rate: 3.631E-06 | global batch size:   256 | lm loss: 3.346410E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 827.952 | TFLOPs: 21.09 |
7:  iteration    30610/   37905 | consumed samples:      7836160 | consumed tokens:  16048455680 | elapsed time per iteration (s): 0.29 | learning rate: 3.627E-06 | global batch size:   256 | lm loss: 3.340648E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.828 | TFLOPs: 22.36 |
7:  iteration    30620/   37905 | consumed samples:      7838720 | consumed tokens:  16053698560 | elapsed time per iteration (s): 0.29 | learning rate: 3.623E-06 | global batch size:   256 | lm loss: 3.344736E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.157 | TFLOPs: 22.42 |
7:  iteration    30630/   37905 | consumed samples:      7841280 | consumed tokens:  16058941440 | elapsed time per iteration (s): 0.29 | learning rate: 3.618E-06 | global batch size:   256 | lm loss: 3.311317E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.224 | TFLOPs: 22.42 |
7:  iteration    30640/   37905 | consumed samples:      7843840 | consumed tokens:  16064184320 | elapsed time per iteration (s): 0.30 | learning rate: 3.614E-06 | global batch size:   256 | lm loss: 3.312280E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 847.070 | TFLOPs: 21.58 |
7:  iteration    30650/   37905 | consumed samples:      7846400 | consumed tokens:  16069427200 | elapsed time per iteration (s): 0.31 | learning rate: 3.610E-06 | global batch size:   256 | lm loss: 3.346962E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 815.541 | TFLOPs: 20.78 |
7:  iteration    30660/   37905 | consumed samples:      7848960 | consumed tokens:  16074670080 | elapsed time per iteration (s): 0.28 | learning rate: 3.605E-06 | global batch size:   256 | lm loss: 3.344971E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.086 | TFLOPs: 23.08 |
7:  iteration    30670/   37905 | consumed samples:      7851520 | consumed tokens:  16079912960 | elapsed time per iteration (s): 0.29 | learning rate: 3.601E-06 | global batch size:   256 | lm loss: 3.358496E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.079 | TFLOPs: 22.19 |
7:  iteration    30680/   37905 | consumed samples:      7854080 | consumed tokens:  16085155840 | elapsed time per iteration (s): 0.28 | learning rate: 3.597E-06 | global batch size:   256 | lm loss: 3.392992E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 901.157 | TFLOPs: 22.96 |
7:  iteration    30690/   37905 | consumed samples:      7856640 | consumed tokens:  16090398720 | elapsed time per iteration (s): 0.28 | learning rate: 3.593E-06 | global batch size:   256 | lm loss: 3.357689E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 899.402 | TFLOPs: 22.91 |
7:  iteration    30700/   37905 | consumed samples:      7859200 | consumed tokens:  16095641600 | elapsed time per iteration (s): 0.31 | learning rate: 3.588E-06 | global batch size:   256 | lm loss: 3.368290E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 818.291 | TFLOPs: 20.85 |
7:  iteration    30710/   37905 | consumed samples:      7861760 | consumed tokens:  16100884480 | elapsed time per iteration (s): 0.31 | learning rate: 3.584E-06 | global batch size:   256 | lm loss: 3.342703E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 832.834 | TFLOPs: 21.22 |
7:  iteration    30720/   37905 | consumed samples:      7864320 | consumed tokens:  16106127360 | elapsed time per iteration (s): 0.28 | learning rate: 3.580E-06 | global batch size:   256 | lm loss: 3.337525E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 918.900 | TFLOPs: 23.41 |
7:  iteration    30730/   37905 | consumed samples:      7866880 | consumed tokens:  16111370240 | elapsed time per iteration (s): 0.29 | learning rate: 3.575E-06 | global batch size:   256 | lm loss: 3.350927E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.960 | TFLOPs: 22.67 |
7:  iteration    30740/   37905 | consumed samples:      7869440 | consumed tokens:  16116613120 | elapsed time per iteration (s): 0.31 | learning rate: 3.571E-06 | global batch size:   256 | lm loss: 3.317474E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 815.328 | TFLOPs: 20.77 |
7:  iteration    30750/   37905 | consumed samples:      7872000 | consumed tokens:  16121856000 | elapsed time per iteration (s): 0.29 | learning rate: 3.567E-06 | global batch size:   256 | lm loss: 3.344486E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 898.176 | TFLOPs: 22.88 |
7:  iteration    30760/   37905 | consumed samples:      7874560 | consumed tokens:  16127098880 | elapsed time per iteration (s): 0.30 | learning rate: 3.563E-06 | global batch size:   256 | lm loss: 3.335677E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 858.928 | TFLOPs: 21.88 |
7:  iteration    30770/   37905 | consumed samples:      7877120 | consumed tokens:  16132341760 | elapsed time per iteration (s): 0.26 | learning rate: 3.558E-06 | global batch size:   256 | lm loss: 3.322585E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.615 | TFLOPs: 24.78 |
7:  iteration    30780/   37905 | consumed samples:      7879680 | consumed tokens:  16137584640 | elapsed time per iteration (s): 0.28 | learning rate: 3.554E-06 | global batch size:   256 | lm loss: 3.343581E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 918.340 | TFLOPs: 23.39 |
7:  iteration    30790/   37905 | consumed samples:      7882240 | consumed tokens:  16142827520 | elapsed time per iteration (s): 0.29 | learning rate: 3.550E-06 | global batch size:   256 | lm loss: 3.283545E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 873.873 | TFLOPs: 22.26 |
7:  iteration    30800/   37905 | consumed samples:      7884800 | consumed tokens:  16148070400 | elapsed time per iteration (s): 0.28 | learning rate: 3.546E-06 | global batch size:   256 | lm loss: 3.349342E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.054 | TFLOPs: 23.36 |
7:  iteration    30810/   37905 | consumed samples:      7887360 | consumed tokens:  16153313280 | elapsed time per iteration (s): 0.30 | learning rate: 3.542E-06 | global batch size:   256 | lm loss: 3.320087E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.458 | TFLOPs: 21.51 |
7:  iteration    30820/   37905 | consumed samples:      7889920 | consumed tokens:  16158556160 | elapsed time per iteration (s): 0.31 | learning rate: 3.537E-06 | global batch size:   256 | lm loss: 3.333845E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 813.082 | TFLOPs: 20.71 |
7:  iteration    30830/   37905 | consumed samples:      7892480 | consumed tokens:  16163799040 | elapsed time per iteration (s): 0.31 | learning rate: 3.533E-06 | global batch size:   256 | lm loss: 3.318696E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 833.522 | TFLOPs: 21.23 |
7:  iteration    30840/   37905 | consumed samples:      7895040 | consumed tokens:  16169041920 | elapsed time per iteration (s): 0.31 | learning rate: 3.529E-06 | global batch size:   256 | lm loss: 3.366432E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 818.183 | TFLOPs: 20.84 |
7:  iteration    30850/   37905 | consumed samples:      7897600 | consumed tokens:  16174284800 | elapsed time per iteration (s): 0.28 | learning rate: 3.525E-06 | global batch size:   256 | lm loss: 3.344794E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.261 | TFLOPs: 23.70 |
7:  iteration    30860/   37905 | consumed samples:      7900160 | consumed tokens:  16179527680 | elapsed time per iteration (s): 0.31 | learning rate: 3.521E-06 | global batch size:   256 | lm loss: 3.333152E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 828.747 | TFLOPs: 21.11 |
7:  iteration    30870/   37905 | consumed samples:      7902720 | consumed tokens:  16184770560 | elapsed time per iteration (s): 0.30 | learning rate: 3.516E-06 | global batch size:   256 | lm loss: 3.357797E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 863.673 | TFLOPs: 22.00 |
7:  iteration    30880/   37905 | consumed samples:      7905280 | consumed tokens:  16190013440 | elapsed time per iteration (s): 0.28 | learning rate: 3.512E-06 | global batch size:   256 | lm loss: 3.308876E+00 | grad norm: 0.573 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.475 | TFLOPs: 23.32 |
7:  iteration    30890/   37905 | consumed samples:      7907840 | consumed tokens:  16195256320 | elapsed time per iteration (s): 0.29 | learning rate: 3.508E-06 | global batch size:   256 | lm loss: 3.335196E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.402 | TFLOPs: 22.84 |
7:  iteration    30900/   37905 | consumed samples:      7910400 | consumed tokens:  16200499200 | elapsed time per iteration (s): 0.26 | learning rate: 3.504E-06 | global batch size:   256 | lm loss: 3.316959E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.440 | TFLOPs: 24.75 |
7:  iteration    30910/   37905 | consumed samples:      7912960 | consumed tokens:  16205742080 | elapsed time per iteration (s): 0.31 | learning rate: 3.500E-06 | global batch size:   256 | lm loss: 3.322392E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 813.707 | TFLOPs: 20.73 |
7:  iteration    30920/   37905 | consumed samples:      7915520 | consumed tokens:  16210984960 | elapsed time per iteration (s): 0.29 | learning rate: 3.495E-06 | global batch size:   256 | lm loss: 3.349438E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.315 | TFLOPs: 22.32 |
7:  iteration    30930/   37905 | consumed samples:      7918080 | consumed tokens:  16216227840 | elapsed time per iteration (s): 0.28 | learning rate: 3.491E-06 | global batch size:   256 | lm loss: 3.330279E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.638 | TFLOPs: 23.17 |
7:  iteration    30940/   37905 | consumed samples:      7920640 | consumed tokens:  16221470720 | elapsed time per iteration (s): 0.27 | learning rate: 3.487E-06 | global batch size:   256 | lm loss: 3.344886E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.130 | TFLOPs: 24.23 |
7:  iteration    30950/   37905 | consumed samples:      7923200 | consumed tokens:  16226713600 | elapsed time per iteration (s): 0.34 | learning rate: 3.483E-06 | global batch size:   256 | lm loss: 3.311160E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 748.835 | TFLOPs: 19.08 |
7:  iteration    30960/   37905 | consumed samples:      7925760 | consumed tokens:  16231956480 | elapsed time per iteration (s): 0.27 | learning rate: 3.479E-06 | global batch size:   256 | lm loss: 3.365871E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.172 | TFLOPs: 23.82 |
7:  iteration    30970/   37905 | consumed samples:      7928320 | consumed tokens:  16237199360 | elapsed time per iteration (s): 0.30 | learning rate: 3.475E-06 | global batch size:   256 | lm loss: 3.341064E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 853.740 | TFLOPs: 21.75 |
7:  iteration    30980/   37905 | consumed samples:      7930880 | consumed tokens:  16242442240 | elapsed time per iteration (s): 0.28 | learning rate: 3.471E-06 | global batch size:   256 | lm loss: 3.290647E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.995 | TFLOPs: 23.36 |
7:  iteration    30990/   37905 | consumed samples:      7933440 | consumed tokens:  16247685120 | elapsed time per iteration (s): 0.35 | learning rate: 3.466E-06 | global batch size:   256 | lm loss: 3.329810E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 737.915 | TFLOPs: 18.80 |
7:  iteration    31000/   37905 | consumed samples:      7936000 | consumed tokens:  16252928000 | elapsed time per iteration (s): 0.27 | learning rate: 3.462E-06 | global batch size:   256 | lm loss: 3.353090E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 943.366 | TFLOPs: 24.03 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 31000 | lm loss value: 3.126353E+00 | lm loss PPL: 2.279071E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   31000 to checkpoints_83slr
0: [2022-11-28 17:26:17,349] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step31000 is begin to save!
0: [2022-11-28 17:26:17,365] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 17:26:17,571] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/layer_14-model_00-model_states.pt...
0: [2022-11-28 17:26:17,572] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/layer_14-model_00-model_states.pt.
0: [2022-11-28 17:26:17,572] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step31000/mp_rank_00_model_states.pt
0: [2022-11-28 17:26:17,572] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/mp_rank_00_model_states.pt...
0: [2022-11-28 17:26:17,574] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/mp_rank_00_model_states.pt.
0: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
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0: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt...
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7: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
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1: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
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1: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
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3: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt...
3: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt...
5: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt...
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1: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt...
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3: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt...
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6: [2022-11-28 17:26:17,592] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step31000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:26:17,612] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:26:17,612] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:26:17,613] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt
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3: [2022-11-28 17:26:17,749] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now!
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1: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
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3: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt
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1: [2022-11-28 17:26:17,749] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt.
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3: [2022-11-28 17:26:17,749] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
4: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
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3: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
4: [2022-11-28 17:26:17,749] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt
4: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt
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5: [2022-11-28 17:26:17,749] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt.
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5: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt
5: [2022-11-28 17:26:17,749] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step31000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt
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5: [2022-11-28 17:26:17,749] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now!
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0:   successfully saved checkpoint at iteration   31000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 408.53
7:  iteration    31010/   37905 | consumed samples:      7938560 | consumed tokens:  16258170880 | elapsed time per iteration (s): 0.34 | learning rate: 3.458E-06 | global batch size:   256 | lm loss: 3.354573E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 754.770 | TFLOPs: 19.23 |
7:  iteration    31020/   37905 | consumed samples:      7941120 | consumed tokens:  16263413760 | elapsed time per iteration (s): 0.26 | learning rate: 3.454E-06 | global batch size:   256 | lm loss: 3.409369E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.589 | TFLOPs: 24.88 |
7:  iteration    31030/   37905 | consumed samples:      7943680 | consumed tokens:  16268656640 | elapsed time per iteration (s): 0.29 | learning rate: 3.450E-06 | global batch size:   256 | lm loss: 3.339815E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.064 | TFLOPs: 22.34 |
7:  iteration    31040/   37905 | consumed samples:      7946240 | consumed tokens:  16273899520 | elapsed time per iteration (s): 0.29 | learning rate: 3.446E-06 | global batch size:   256 | lm loss: 3.413660E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 888.078 | TFLOPs: 22.62 |
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7:  iteration    31080/   37905 | consumed samples:      7956480 | consumed tokens:  16294871040 | elapsed time per iteration (s): 0.33 | learning rate: 3.430E-06 | global batch size:   256 | lm loss: 3.368111E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 770.487 | TFLOPs: 19.63 |
7:  iteration    31090/   37905 | consumed samples:      7959040 | consumed tokens:  16300113920 | elapsed time per iteration (s): 0.29 | learning rate: 3.426E-06 | global batch size:   256 | lm loss: 3.353271E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 893.355 | TFLOPs: 22.76 |
7:  iteration    31100/   37905 | consumed samples:      7961600 | consumed tokens:  16305356800 | elapsed time per iteration (s): 0.30 | learning rate: 3.421E-06 | global batch size:   256 | lm loss: 3.331613E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.514 | TFLOPs: 21.49 |
7:  iteration    31110/   37905 | consumed samples:      7964160 | consumed tokens:  16310599680 | elapsed time per iteration (s): 0.30 | learning rate: 3.417E-06 | global batch size:   256 | lm loss: 3.361030E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 862.524 | TFLOPs: 21.97 |
7:  iteration    31120/   37905 | consumed samples:      7966720 | consumed tokens:  16315842560 | elapsed time per iteration (s): 0.32 | learning rate: 3.413E-06 | global batch size:   256 | lm loss: 3.329811E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 792.160 | TFLOPs: 20.18 |
7:  iteration    31130/   37905 | consumed samples:      7969280 | consumed tokens:  16321085440 | elapsed time per iteration (s): 0.29 | learning rate: 3.409E-06 | global batch size:   256 | lm loss: 3.383238E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 887.931 | TFLOPs: 22.62 |
7:  iteration    31140/   37905 | consumed samples:      7971840 | consumed tokens:  16326328320 | elapsed time per iteration (s): 0.31 | learning rate: 3.405E-06 | global batch size:   256 | lm loss: 3.342696E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 821.655 | TFLOPs: 20.93 |
7:  iteration    31150/   37905 | consumed samples:      7974400 | consumed tokens:  16331571200 | elapsed time per iteration (s): 0.29 | learning rate: 3.401E-06 | global batch size:   256 | lm loss: 3.326227E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.262 | TFLOPs: 22.22 |
7:  iteration    31160/   37905 | consumed samples:      7976960 | consumed tokens:  16336814080 | elapsed time per iteration (s): 0.31 | learning rate: 3.397E-06 | global batch size:   256 | lm loss: 3.333711E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 823.622 | TFLOPs: 20.98 |
7:  iteration    31170/   37905 | consumed samples:      7979520 | consumed tokens:  16342056960 | elapsed time per iteration (s): 0.29 | learning rate: 3.393E-06 | global batch size:   256 | lm loss: 3.337513E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.008 | TFLOPs: 22.70 |
7:  iteration    31180/   37905 | consumed samples:      7982080 | consumed tokens:  16347299840 | elapsed time per iteration (s): 0.28 | learning rate: 3.389E-06 | global batch size:   256 | lm loss: 3.366481E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.081 | TFLOPs: 23.34 |
7:  iteration    31190/   37905 | consumed samples:      7984640 | consumed tokens:  16352542720 | elapsed time per iteration (s): 0.30 | learning rate: 3.385E-06 | global batch size:   256 | lm loss: 3.331259E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 854.014 | TFLOPs: 21.76 |
7:  iteration    31200/   37905 | consumed samples:      7987200 | consumed tokens:  16357785600 | elapsed time per iteration (s): 0.30 | learning rate: 3.381E-06 | global batch size:   256 | lm loss: 3.338309E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 854.178 | TFLOPs: 21.76 |
7:  iteration    31210/   37905 | consumed samples:      7989760 | consumed tokens:  16363028480 | elapsed time per iteration (s): 0.30 | learning rate: 3.377E-06 | global batch size:   256 | lm loss: 3.319345E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 852.003 | TFLOPs: 21.70 |
7:  iteration    31220/   37905 | consumed samples:      7992320 | consumed tokens:  16368271360 | elapsed time per iteration (s): 0.28 | learning rate: 3.373E-06 | global batch size:   256 | lm loss: 3.350512E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.279 | TFLOPs: 23.21 |
7:  iteration    31230/   37905 | consumed samples:      7994880 | consumed tokens:  16373514240 | elapsed time per iteration (s): 0.29 | learning rate: 3.369E-06 | global batch size:   256 | lm loss: 3.342056E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.103 | TFLOPs: 22.65 |
7:  iteration    31240/   37905 | consumed samples:      7997440 | consumed tokens:  16378757120 | elapsed time per iteration (s): 0.29 | learning rate: 3.365E-06 | global batch size:   256 | lm loss: 3.357504E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.033 | TFLOPs: 22.42 |
7:  iteration    31250/   37905 | consumed samples:      8000000 | consumed tokens:  16384000000 | elapsed time per iteration (s): 0.29 | learning rate: 3.361E-06 | global batch size:   256 | lm loss: 3.328567E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 875.263 | TFLOPs: 22.30 |
7:  iteration    31260/   37905 | consumed samples:      8002560 | consumed tokens:  16389242880 | elapsed time per iteration (s): 0.30 | learning rate: 3.357E-06 | global batch size:   256 | lm loss: 3.302423E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 842.172 | TFLOPs: 21.45 |
7:  iteration    31270/   37905 | consumed samples:      8005120 | consumed tokens:  16394485760 | elapsed time per iteration (s): 0.30 | learning rate: 3.353E-06 | global batch size:   256 | lm loss: 3.309638E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 861.199 | TFLOPs: 21.94 |
7:  iteration    31280/   37905 | consumed samples:      8007680 | consumed tokens:  16399728640 | elapsed time per iteration (s): 0.29 | learning rate: 3.349E-06 | global batch size:   256 | lm loss: 3.316183E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 882.046 | TFLOPs: 22.47 |
7:  iteration    31290/   37905 | consumed samples:      8010240 | consumed tokens:  16404971520 | elapsed time per iteration (s): 0.32 | learning rate: 3.345E-06 | global batch size:   256 | lm loss: 3.305245E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 792.973 | TFLOPs: 20.20 |
7:  iteration    31300/   37905 | consumed samples:      8012800 | consumed tokens:  16410214400 | elapsed time per iteration (s): 0.27 | learning rate: 3.341E-06 | global batch size:   256 | lm loss: 3.341645E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.525 | TFLOPs: 24.14 |
7:  iteration    31310/   37905 | consumed samples:      8015360 | consumed tokens:  16415457280 | elapsed time per iteration (s): 0.28 | learning rate: 3.337E-06 | global batch size:   256 | lm loss: 3.289284E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.726 | TFLOPs: 23.63 |
7:  iteration    31320/   37905 | consumed samples:      8017920 | consumed tokens:  16420700160 | elapsed time per iteration (s): 0.32 | learning rate: 3.333E-06 | global batch size:   256 | lm loss: 3.364221E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 802.340 | TFLOPs: 20.44 |
7:  iteration    31330/   37905 | consumed samples:      8020480 | consumed tokens:  16425943040 | elapsed time per iteration (s): 0.23 | learning rate: 3.329E-06 | global batch size:   256 | lm loss: 3.316856E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1109.202 | TFLOPs: 28.26 |
7:  iteration    31340/   37905 | consumed samples:      8023040 | consumed tokens:  16431185920 | elapsed time per iteration (s): 0.26 | learning rate: 3.325E-06 | global batch size:   256 | lm loss: 3.370421E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.417 | TFLOPs: 24.75 |
7:  iteration    31350/   37905 | consumed samples:      8025600 | consumed tokens:  16436428800 | elapsed time per iteration (s): 0.30 | learning rate: 3.322E-06 | global batch size:   256 | lm loss: 3.318657E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 840.149 | TFLOPs: 21.40 |
7:  iteration    31360/   37905 | consumed samples:      8028160 | consumed tokens:  16441671680 | elapsed time per iteration (s): 0.29 | learning rate: 3.318E-06 | global batch size:   256 | lm loss: 3.363087E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 881.502 | TFLOPs: 22.46 |
7:  iteration    31370/   37905 | consumed samples:      8030720 | consumed tokens:  16446914560 | elapsed time per iteration (s): 0.30 | learning rate: 3.314E-06 | global batch size:   256 | lm loss: 3.325365E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 840.450 | TFLOPs: 21.41 |
7:  iteration    31380/   37905 | consumed samples:      8033280 | consumed tokens:  16452157440 | elapsed time per iteration (s): 0.28 | learning rate: 3.310E-06 | global batch size:   256 | lm loss: 3.313916E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 900.091 | TFLOPs: 22.93 |
7:  iteration    31390/   37905 | consumed samples:      8035840 | consumed tokens:  16457400320 | elapsed time per iteration (s): 0.29 | learning rate: 3.306E-06 | global batch size:   256 | lm loss: 3.359364E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.026 | TFLOPs: 22.65 |
7:  iteration    31400/   37905 | consumed samples:      8038400 | consumed tokens:  16462643200 | elapsed time per iteration (s): 0.30 | learning rate: 3.302E-06 | global batch size:   256 | lm loss: 3.324192E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.757 | TFLOPs: 21.49 |
7:  iteration    31410/   37905 | consumed samples:      8040960 | consumed tokens:  16467886080 | elapsed time per iteration (s): 0.27 | learning rate: 3.298E-06 | global batch size:   256 | lm loss: 3.329956E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.631 | TFLOPs: 24.47 |
7:  iteration    31420/   37905 | consumed samples:      8043520 | consumed tokens:  16473128960 | elapsed time per iteration (s): 0.33 | learning rate: 3.294E-06 | global batch size:   256 | lm loss: 3.322405E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 780.348 | TFLOPs: 19.88 |
7:  iteration    31430/   37905 | consumed samples:      8046080 | consumed tokens:  16478371840 | elapsed time per iteration (s): 0.31 | learning rate: 3.290E-06 | global batch size:   256 | lm loss: 3.366776E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 831.826 | TFLOPs: 21.19 |
7:  iteration    31440/   37905 | consumed samples:      8048640 | consumed tokens:  16483614720 | elapsed time per iteration (s): 0.27 | learning rate: 3.286E-06 | global batch size:   256 | lm loss: 3.341737E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.777 | TFLOPs: 24.48 |
7:  iteration    31450/   37905 | consumed samples:      8051200 | consumed tokens:  16488857600 | elapsed time per iteration (s): 0.31 | learning rate: 3.282E-06 | global batch size:   256 | lm loss: 3.313193E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 837.130 | TFLOPs: 21.33 |
7:  iteration    31460/   37905 | consumed samples:      8053760 | consumed tokens:  16494100480 | elapsed time per iteration (s): 0.27 | learning rate: 3.279E-06 | global batch size:   256 | lm loss: 3.369590E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.893 | TFLOPs: 24.22 |
7:  iteration    31470/   37905 | consumed samples:      8056320 | consumed tokens:  16499343360 | elapsed time per iteration (s): 0.33 | learning rate: 3.275E-06 | global batch size:   256 | lm loss: 3.379734E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 766.229 | TFLOPs: 19.52 |
7:  iteration    31480/   37905 | consumed samples:      8058880 | consumed tokens:  16504586240 | elapsed time per iteration (s): 0.29 | learning rate: 3.271E-06 | global batch size:   256 | lm loss: 3.346604E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 895.982 | TFLOPs: 22.83 |
7:  iteration    31490/   37905 | consumed samples:      8061440 | consumed tokens:  16509829120 | elapsed time per iteration (s): 0.31 | learning rate: 3.267E-06 | global batch size:   256 | lm loss: 3.319415E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 828.366 | TFLOPs: 21.10 |
7:  iteration    31500/   37905 | consumed samples:      8064000 | consumed tokens:  16515072000 | elapsed time per iteration (s): 0.28 | learning rate: 3.263E-06 | global batch size:   256 | lm loss: 3.341211E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.834 | TFLOPs: 23.61 |
7:  iteration    31510/   37905 | consumed samples:      8066560 | consumed tokens:  16520314880 | elapsed time per iteration (s): 0.28 | learning rate: 3.259E-06 | global batch size:   256 | lm loss: 3.387691E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 920.591 | TFLOPs: 23.45 |
7:  iteration    31520/   37905 | consumed samples:      8069120 | consumed tokens:  16525557760 | elapsed time per iteration (s): 0.32 | learning rate: 3.255E-06 | global batch size:   256 | lm loss: 3.284198E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 800.300 | TFLOPs: 20.39 |
7:  iteration    31530/   37905 | consumed samples:      8071680 | consumed tokens:  16530800640 | elapsed time per iteration (s): 0.26 | learning rate: 3.252E-06 | global batch size:   256 | lm loss: 3.302090E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.994 | TFLOPs: 24.81 |
7:  iteration    31540/   37905 | consumed samples:      8074240 | consumed tokens:  16536043520 | elapsed time per iteration (s): 0.29 | learning rate: 3.248E-06 | global batch size:   256 | lm loss: 3.324563E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.987 | TFLOPs: 22.57 |
7:  iteration    31550/   37905 | consumed samples:      8076800 | consumed tokens:  16541286400 | elapsed time per iteration (s): 0.27 | learning rate: 3.244E-06 | global batch size:   256 | lm loss: 3.338446E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 940.270 | TFLOPs: 23.95 |
7:  iteration    31560/   37905 | consumed samples:      8079360 | consumed tokens:  16546529280 | elapsed time per iteration (s): 0.31 | learning rate: 3.240E-06 | global batch size:   256 | lm loss: 3.343190E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 818.569 | TFLOPs: 20.85 |
7:  iteration    31570/   37905 | consumed samples:      8081920 | consumed tokens:  16551772160 | elapsed time per iteration (s): 0.28 | learning rate: 3.236E-06 | global batch size:   256 | lm loss: 3.319897E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.553 | TFLOPs: 23.25 |
7:  iteration    31580/   37905 | consumed samples:      8084480 | consumed tokens:  16557015040 | elapsed time per iteration (s): 0.33 | learning rate: 3.233E-06 | global batch size:   256 | lm loss: 3.339845E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 764.833 | TFLOPs: 19.48 |
7:  iteration    31590/   37905 | consumed samples:      8087040 | consumed tokens:  16562257920 | elapsed time per iteration (s): 0.27 | learning rate: 3.229E-06 | global batch size:   256 | lm loss: 3.325140E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 945.108 | TFLOPs: 24.08 |
7:  iteration    31600/   37905 | consumed samples:      8089600 | consumed tokens:  16567500800 | elapsed time per iteration (s): 0.29 | learning rate: 3.225E-06 | global batch size:   256 | lm loss: 3.313631E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.569 | TFLOPs: 22.20 |
7:  iteration    31610/   37905 | consumed samples:      8092160 | consumed tokens:  16572743680 | elapsed time per iteration (s): 0.27 | learning rate: 3.221E-06 | global batch size:   256 | lm loss: 3.310503E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.526 | TFLOPs: 23.73 |
7:  iteration    31620/   37905 | consumed samples:      8094720 | consumed tokens:  16577986560 | elapsed time per iteration (s): 0.32 | learning rate: 3.217E-06 | global batch size:   256 | lm loss: 3.359119E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 798.691 | TFLOPs: 20.35 |
7:  iteration    31630/   37905 | consumed samples:      8097280 | consumed tokens:  16583229440 | elapsed time per iteration (s): 0.32 | learning rate: 3.214E-06 | global batch size:   256 | lm loss: 3.339414E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 810.836 | TFLOPs: 20.66 |
7:  iteration    31640/   37905 | consumed samples:      8099840 | consumed tokens:  16588472320 | elapsed time per iteration (s): 0.29 | learning rate: 3.210E-06 | global batch size:   256 | lm loss: 3.333268E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.641 | TFLOPs: 22.74 |
7:  iteration    31650/   37905 | consumed samples:      8102400 | consumed tokens:  16593715200 | elapsed time per iteration (s): 0.29 | learning rate: 3.206E-06 | global batch size:   256 | lm loss: 3.330567E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.096 | TFLOPs: 22.37 |
7:  iteration    31660/   37905 | consumed samples:      8104960 | consumed tokens:  16598958080 | elapsed time per iteration (s): 0.29 | learning rate: 3.202E-06 | global batch size:   256 | lm loss: 3.317857E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.904 | TFLOPs: 22.87 |
7:  iteration    31670/   37905 | consumed samples:      8107520 | consumed tokens:  16604200960 | elapsed time per iteration (s): 0.32 | learning rate: 3.199E-06 | global batch size:   256 | lm loss: 3.350948E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 811.600 | TFLOPs: 20.68 |
7:  iteration    31680/   37905 | consumed samples:      8110080 | consumed tokens:  16609443840 | elapsed time per iteration (s): 0.28 | learning rate: 3.195E-06 | global batch size:   256 | lm loss: 3.309557E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 904.769 | TFLOPs: 23.05 |
7:  iteration    31690/   37905 | consumed samples:      8112640 | consumed tokens:  16614686720 | elapsed time per iteration (s): 0.31 | learning rate: 3.191E-06 | global batch size:   256 | lm loss: 3.354432E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 829.941 | TFLOPs: 21.14 |
7:  iteration    31700/   37905 | consumed samples:      8115200 | consumed tokens:  16619929600 | elapsed time per iteration (s): 0.35 | learning rate: 3.187E-06 | global batch size:   256 | lm loss: 3.312455E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 737.067 | TFLOPs: 18.78 |
7:  iteration    31710/   37905 | consumed samples:      8117760 | consumed tokens:  16625172480 | elapsed time per iteration (s): 0.28 | learning rate: 3.184E-06 | global batch size:   256 | lm loss: 3.335291E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.778 | TFLOPs: 23.33 |
7:  iteration    31720/   37905 | consumed samples:      8120320 | consumed tokens:  16630415360 | elapsed time per iteration (s): 0.33 | learning rate: 3.180E-06 | global batch size:   256 | lm loss: 3.374144E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 768.475 | TFLOPs: 19.58 |
7:  iteration    31730/   37905 | consumed samples:      8122880 | consumed tokens:  16635658240 | elapsed time per iteration (s): 0.30 | learning rate: 3.176E-06 | global batch size:   256 | lm loss: 3.365493E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 848.944 | TFLOPs: 21.63 |
7:  iteration    31740/   37905 | consumed samples:      8125440 | consumed tokens:  16640901120 | elapsed time per iteration (s): 0.30 | learning rate: 3.172E-06 | global batch size:   256 | lm loss: 3.355164E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 859.555 | TFLOPs: 21.90 |
7:  iteration    31750/   37905 | consumed samples:      8128000 | consumed tokens:  16646144000 | elapsed time per iteration (s): 0.32 | learning rate: 3.169E-06 | global batch size:   256 | lm loss: 3.325795E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 790.493 | TFLOPs: 20.14 |
7:  iteration    31760/   37905 | consumed samples:      8130560 | consumed tokens:  16651386880 | elapsed time per iteration (s): 0.31 | learning rate: 3.165E-06 | global batch size:   256 | lm loss: 3.381345E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 823.350 | TFLOPs: 20.97 |
7:  iteration    31770/   37905 | consumed samples:      8133120 | consumed tokens:  16656629760 | elapsed time per iteration (s): 0.28 | learning rate: 3.161E-06 | global batch size:   256 | lm loss: 3.325370E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.223 | TFLOPs: 23.47 |
7:  iteration    31780/   37905 | consumed samples:      8135680 | consumed tokens:  16661872640 | elapsed time per iteration (s): 0.28 | learning rate: 3.158E-06 | global batch size:   256 | lm loss: 3.349286E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 918.952 | TFLOPs: 23.41 |
7:  iteration    31790/   37905 | consumed samples:      8138240 | consumed tokens:  16667115520 | elapsed time per iteration (s): 0.30 | learning rate: 3.154E-06 | global batch size:   256 | lm loss: 3.348941E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 861.518 | TFLOPs: 21.95 |
7:  iteration    31800/   37905 | consumed samples:      8140800 | consumed tokens:  16672358400 | elapsed time per iteration (s): 0.26 | learning rate: 3.150E-06 | global batch size:   256 | lm loss: 3.351459E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.887 | TFLOPs: 24.99 |
7:  iteration    31810/   37905 | consumed samples:      8143360 | consumed tokens:  16677601280 | elapsed time per iteration (s): 0.27 | learning rate: 3.146E-06 | global batch size:   256 | lm loss: 3.327226E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.402 | TFLOPs: 23.83 |
7:  iteration    31820/   37905 | consumed samples:      8145920 | consumed tokens:  16682844160 | elapsed time per iteration (s): 0.29 | learning rate: 3.143E-06 | global batch size:   256 | lm loss: 3.338028E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 881.263 | TFLOPs: 22.45 |
7:  iteration    31830/   37905 | consumed samples:      8148480 | consumed tokens:  16688087040 | elapsed time per iteration (s): 0.28 | learning rate: 3.139E-06 | global batch size:   256 | lm loss: 3.368796E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 900.195 | TFLOPs: 22.93 |
7:  iteration    31840/   37905 | consumed samples:      8151040 | consumed tokens:  16693329920 | elapsed time per iteration (s): 0.29 | learning rate: 3.135E-06 | global batch size:   256 | lm loss: 3.330313E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.373 | TFLOPs: 22.20 |
7:  iteration    31850/   37905 | consumed samples:      8153600 | consumed tokens:  16698572800 | elapsed time per iteration (s): 0.32 | learning rate: 3.132E-06 | global batch size:   256 | lm loss: 3.343173E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 810.966 | TFLOPs: 20.66 |
7:  iteration    31860/   37905 | consumed samples:      8156160 | consumed tokens:  16703815680 | elapsed time per iteration (s): 0.27 | learning rate: 3.128E-06 | global batch size:   256 | lm loss: 3.297521E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.550 | TFLOPs: 24.37 |
7:  iteration    31870/   37905 | consumed samples:      8158720 | consumed tokens:  16709058560 | elapsed time per iteration (s): 0.33 | learning rate: 3.124E-06 | global batch size:   256 | lm loss: 3.328901E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 770.024 | TFLOPs: 19.62 |
7:  iteration    31880/   37905 | consumed samples:      8161280 | consumed tokens:  16714301440 | elapsed time per iteration (s): 0.26 | learning rate: 3.121E-06 | global batch size:   256 | lm loss: 3.331292E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.049 | TFLOPs: 25.22 |
7:  iteration    31890/   37905 | consumed samples:      8163840 | consumed tokens:  16719544320 | elapsed time per iteration (s): 0.29 | learning rate: 3.117E-06 | global batch size:   256 | lm loss: 3.307999E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.884 | TFLOPs: 22.36 |
7:  iteration    31900/   37905 | consumed samples:      8166400 | consumed tokens:  16724787200 | elapsed time per iteration (s): 0.30 | learning rate: 3.114E-06 | global batch size:   256 | lm loss: 3.371415E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 854.803 | TFLOPs: 21.78 |
7:  iteration    31910/   37905 | consumed samples:      8168960 | consumed tokens:  16730030080 | elapsed time per iteration (s): 0.28 | learning rate: 3.110E-06 | global batch size:   256 | lm loss: 3.353928E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 900.200 | TFLOPs: 22.93 |
7:  iteration    31920/   37905 | consumed samples:      8171520 | consumed tokens:  16735272960 | elapsed time per iteration (s): 0.27 | learning rate: 3.106E-06 | global batch size:   256 | lm loss: 3.307195E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.730 | TFLOPs: 24.27 |
7:  iteration    31930/   37905 | consumed samples:      8174080 | consumed tokens:  16740515840 | elapsed time per iteration (s): 0.29 | learning rate: 3.103E-06 | global batch size:   256 | lm loss: 3.340208E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.753 | TFLOPs: 22.21 |
7:  iteration    31940/   37905 | consumed samples:      8176640 | consumed tokens:  16745758720 | elapsed time per iteration (s): 0.25 | learning rate: 3.099E-06 | global batch size:   256 | lm loss: 3.352107E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.154 | TFLOPs: 26.22 |
7:  iteration    31950/   37905 | consumed samples:      8179200 | consumed tokens:  16751001600 | elapsed time per iteration (s): 0.30 | learning rate: 3.095E-06 | global batch size:   256 | lm loss: 3.310529E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 841.829 | TFLOPs: 21.45 |
7:  iteration    31960/   37905 | consumed samples:      8181760 | consumed tokens:  16756244480 | elapsed time per iteration (s): 0.29 | learning rate: 3.092E-06 | global batch size:   256 | lm loss: 3.298524E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.499 | TFLOPs: 22.86 |
7:  iteration    31970/   37905 | consumed samples:      8184320 | consumed tokens:  16761487360 | elapsed time per iteration (s): 0.26 | learning rate: 3.088E-06 | global batch size:   256 | lm loss: 3.365911E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.491 | TFLOPs: 24.98 |
7:  iteration    31980/   37905 | consumed samples:      8186880 | consumed tokens:  16766730240 | elapsed time per iteration (s): 0.30 | learning rate: 3.085E-06 | global batch size:   256 | lm loss: 3.330848E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 855.777 | TFLOPs: 21.80 |
7:  iteration    31990/   37905 | consumed samples:      8189440 | consumed tokens:  16771973120 | elapsed time per iteration (s): 0.28 | learning rate: 3.081E-06 | global batch size:   256 | lm loss: 3.340322E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 899.107 | TFLOPs: 22.90 |
0: [2022-11-28 17:31:10,970] [INFO] [logging.py:68:log_dist] [Rank 0] step=32000, skipped=0, lr=[3.0775463138663702e-06, 3.0775463138663702e-06, 3.0775463138663702e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    32000/   37905 | consumed samples:      8192000 | consumed tokens:  16777216000 | elapsed time per iteration (s): 0.30 | learning rate: 3.078E-06 | global batch size:   256 | lm loss: 3.306870E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.479 | TFLOPs: 21.51 |
0: steps: 32000 loss: 3.2407 iter time (s): 0.300 samples/sec: 853.756
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 32000 | lm loss value: 3.102105E+00 | lm loss PPL: 2.224473E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   32000 to checkpoints_83slr
0: [2022-11-28 17:31:11,059] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step32000 is begin to save!
0: [2022-11-28 17:31:11,063] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step32000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 17:31:11,268] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step32000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 17:31:11,269] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step32000/mp_rank_00_model_states.pt
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0: [2022-11-28 17:31:11,289] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step32000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:31:11,289] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step32000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
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7: [2022-11-28 17:31:11,289] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step32000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
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7: [2022-11-28 17:31:11,289] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step32000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
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1: [2022-11-28 17:31:11,289] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step32000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
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5: [2022-11-28 17:31:11,314] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt
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7: [2022-11-28 17:31:11,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt
7: [2022-11-28 17:31:11,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt
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1: [2022-11-28 17:31:11,314] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
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6: [2022-11-28 17:31:11,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt
6: [2022-11-28 17:31:11,315] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now!
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6: [2022-11-28 17:31:11,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt
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3: [2022-11-28 17:31:11,315] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt.
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0: [2022-11-28 17:31:11,316] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt.
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2: [2022-11-28 17:31:11,316] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now!
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7: [2022-11-28 17:31:11,317] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt.
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7: [2022-11-28 17:31:11,317] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
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1: [2022-11-28 17:31:11,317] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt.
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0: [2022-11-28 17:31:11,319] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
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4: [2022-11-28 17:31:11,319] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
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4: [2022-11-28 17:31:11,319] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt
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6: [2022-11-28 17:31:11,319] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt
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6: [2022-11-28 17:31:11,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step32000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt
6: [2022-11-28 17:31:11,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now!
0:   successfully saved checkpoint at iteration   32000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 266.04
7:  iteration    32010/   37905 | consumed samples:      8194560 | consumed tokens:  16782458880 | elapsed time per iteration (s): 0.33 | learning rate: 3.074E-06 | global batch size:   256 | lm loss: 3.330032E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 783.550 | TFLOPs: 19.96 |
7:  iteration    32020/   37905 | consumed samples:      8197120 | consumed tokens:  16787701760 | elapsed time per iteration (s): 0.28 | learning rate: 3.070E-06 | global batch size:   256 | lm loss: 3.304116E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.557 | TFLOPs: 23.27 |
7:  iteration    32030/   37905 | consumed samples:      8199680 | consumed tokens:  16792944640 | elapsed time per iteration (s): 0.30 | learning rate: 3.067E-06 | global batch size:   256 | lm loss: 3.335584E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 854.383 | TFLOPs: 21.77 |
7:  iteration    32040/   37905 | consumed samples:      8202240 | consumed tokens:  16798187520 | elapsed time per iteration (s): 0.28 | learning rate: 3.063E-06 | global batch size:   256 | lm loss: 3.365979E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 920.889 | TFLOPs: 23.46 |
7:  iteration    32050/   37905 | consumed samples:      8204800 | consumed tokens:  16803430400 | elapsed time per iteration (s): 0.33 | learning rate: 3.060E-06 | global batch size:   256 | lm loss: 3.371079E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 787.650 | TFLOPs: 20.07 |
7:  iteration    32060/   37905 | consumed samples:      8207360 | consumed tokens:  16808673280 | elapsed time per iteration (s): 0.31 | learning rate: 3.056E-06 | global batch size:   256 | lm loss: 3.320695E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 821.542 | TFLOPs: 20.93 |
7:  iteration    32070/   37905 | consumed samples:      8209920 | consumed tokens:  16813916160 | elapsed time per iteration (s): 0.30 | learning rate: 3.053E-06 | global batch size:   256 | lm loss: 3.331623E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 856.846 | TFLOPs: 21.83 |
7:  iteration    32080/   37905 | consumed samples:      8212480 | consumed tokens:  16819159040 | elapsed time per iteration (s): 0.31 | learning rate: 3.049E-06 | global batch size:   256 | lm loss: 3.359245E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 832.805 | TFLOPs: 21.22 |
7:  iteration    32090/   37905 | consumed samples:      8215040 | consumed tokens:  16824401920 | elapsed time per iteration (s): 0.31 | learning rate: 3.046E-06 | global batch size:   256 | lm loss: 3.363440E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 835.282 | TFLOPs: 21.28 |
7:  iteration    32100/   37905 | consumed samples:      8217600 | consumed tokens:  16829644800 | elapsed time per iteration (s): 0.26 | learning rate: 3.042E-06 | global batch size:   256 | lm loss: 3.346674E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.622 | TFLOPs: 24.70 |
7:  iteration    32110/   37905 | consumed samples:      8220160 | consumed tokens:  16834887680 | elapsed time per iteration (s): 0.27 | learning rate: 3.039E-06 | global batch size:   256 | lm loss: 3.340024E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.491 | TFLOPs: 23.91 |
7:  iteration    32120/   37905 | consumed samples:      8222720 | consumed tokens:  16840130560 | elapsed time per iteration (s): 0.30 | learning rate: 3.035E-06 | global batch size:   256 | lm loss: 3.331657E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 860.050 | TFLOPs: 21.91 |
7:  iteration    32130/   37905 | consumed samples:      8225280 | consumed tokens:  16845373440 | elapsed time per iteration (s): 0.27 | learning rate: 3.032E-06 | global batch size:   256 | lm loss: 3.378962E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.311 | TFLOPs: 24.11 |
7:  iteration    32140/   37905 | consumed samples:      8227840 | consumed tokens:  16850616320 | elapsed time per iteration (s): 0.25 | learning rate: 3.028E-06 | global batch size:   256 | lm loss: 3.282267E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1040.785 | TFLOPs: 26.51 |
7:  iteration    32150/   37905 | consumed samples:      8230400 | consumed tokens:  16855859200 | elapsed time per iteration (s): 0.34 | learning rate: 3.025E-06 | global batch size:   256 | lm loss: 3.319767E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 759.232 | TFLOPs: 19.34 |
7:  iteration    32160/   37905 | consumed samples:      8232960 | consumed tokens:  16861102080 | elapsed time per iteration (s): 0.28 | learning rate: 3.021E-06 | global batch size:   256 | lm loss: 3.359425E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.577 | TFLOPs: 23.17 |
7:  iteration    32170/   37905 | consumed samples:      8235520 | consumed tokens:  16866344960 | elapsed time per iteration (s): 0.29 | learning rate: 3.018E-06 | global batch size:   256 | lm loss: 3.321299E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 876.983 | TFLOPs: 22.34 |
7:  iteration    32180/   37905 | consumed samples:      8238080 | consumed tokens:  16871587840 | elapsed time per iteration (s): 0.31 | learning rate: 3.014E-06 | global batch size:   256 | lm loss: 3.336799E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 833.286 | TFLOPs: 21.23 |
7:  iteration    32190/   37905 | consumed samples:      8240640 | consumed tokens:  16876830720 | elapsed time per iteration (s): 0.29 | learning rate: 3.011E-06 | global batch size:   256 | lm loss: 3.327128E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.709 | TFLOPs: 22.44 |
7:  iteration    32200/   37905 | consumed samples:      8243200 | consumed tokens:  16882073600 | elapsed time per iteration (s): 0.31 | learning rate: 3.007E-06 | global batch size:   256 | lm loss: 3.362615E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 826.743 | TFLOPs: 21.06 |
7:  iteration    32210/   37905 | consumed samples:      8245760 | consumed tokens:  16887316480 | elapsed time per iteration (s): 0.29 | learning rate: 3.004E-06 | global batch size:   256 | lm loss: 3.340211E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.643 | TFLOPs: 22.71 |
7:  iteration    32220/   37905 | consumed samples:      8248320 | consumed tokens:  16892559360 | elapsed time per iteration (s): 0.28 | learning rate: 3.000E-06 | global batch size:   256 | lm loss: 3.327779E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.742 | TFLOPs: 23.33 |
7:  iteration    32230/   37905 | consumed samples:      8250880 | consumed tokens:  16897802240 | elapsed time per iteration (s): 0.31 | learning rate: 2.997E-06 | global batch size:   256 | lm loss: 3.313818E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 814.481 | TFLOPs: 20.75 |
7:  iteration    32240/   37905 | consumed samples:      8253440 | consumed tokens:  16903045120 | elapsed time per iteration (s): 0.32 | learning rate: 2.993E-06 | global batch size:   256 | lm loss: 3.349089E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 812.416 | TFLOPs: 20.70 |
7:  iteration    32250/   37905 | consumed samples:      8256000 | consumed tokens:  16908288000 | elapsed time per iteration (s): 0.28 | learning rate: 2.990E-06 | global batch size:   256 | lm loss: 3.344339E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.516 | TFLOPs: 23.42 |
7:  iteration    32260/   37905 | consumed samples:      8258560 | consumed tokens:  16913530880 | elapsed time per iteration (s): 0.30 | learning rate: 2.986E-06 | global batch size:   256 | lm loss: 3.431780E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 857.704 | TFLOPs: 21.85 |
7:  iteration    32270/   37905 | consumed samples:      8261120 | consumed tokens:  16918773760 | elapsed time per iteration (s): 0.29 | learning rate: 2.983E-06 | global batch size:   256 | lm loss: 3.341936E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 888.351 | TFLOPs: 22.63 |
7:  iteration    32280/   37905 | consumed samples:      8263680 | consumed tokens:  16924016640 | elapsed time per iteration (s): 0.27 | learning rate: 2.980E-06 | global batch size:   256 | lm loss: 3.317932E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.158 | TFLOPs: 23.82 |
7:  iteration    32290/   37905 | consumed samples:      8266240 | consumed tokens:  16929259520 | elapsed time per iteration (s): 0.31 | learning rate: 2.976E-06 | global batch size:   256 | lm loss: 3.350603E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 819.555 | TFLOPs: 20.88 |
7:  iteration    32300/   37905 | consumed samples:      8268800 | consumed tokens:  16934502400 | elapsed time per iteration (s): 0.27 | learning rate: 2.973E-06 | global batch size:   256 | lm loss: 3.336235E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.219 | TFLOPs: 23.80 |
7:  iteration    32310/   37905 | consumed samples:      8271360 | consumed tokens:  16939745280 | elapsed time per iteration (s): 0.30 | learning rate: 2.969E-06 | global batch size:   256 | lm loss: 3.343536E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 859.044 | TFLOPs: 21.88 |
7:  iteration    32320/   37905 | consumed samples:      8273920 | consumed tokens:  16944988160 | elapsed time per iteration (s): 0.30 | learning rate: 2.966E-06 | global batch size:   256 | lm loss: 3.368635E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 864.320 | TFLOPs: 22.02 |
7:  iteration    32330/   37905 | consumed samples:      8276480 | consumed tokens:  16950231040 | elapsed time per iteration (s): 0.27 | learning rate: 2.963E-06 | global batch size:   256 | lm loss: 3.352575E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.034 | TFLOPs: 24.48 |
7:  iteration    32340/   37905 | consumed samples:      8279040 | consumed tokens:  16955473920 | elapsed time per iteration (s): 0.29 | learning rate: 2.959E-06 | global batch size:   256 | lm loss: 3.357222E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 887.020 | TFLOPs: 22.60 |
7:  iteration    32350/   37905 | consumed samples:      8281600 | consumed tokens:  16960716800 | elapsed time per iteration (s): 0.26 | learning rate: 2.956E-06 | global batch size:   256 | lm loss: 3.375428E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.004 | TFLOPs: 24.86 |
7:  iteration    32360/   37905 | consumed samples:      8284160 | consumed tokens:  16965959680 | elapsed time per iteration (s): 0.30 | learning rate: 2.952E-06 | global batch size:   256 | lm loss: 3.330883E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 867.663 | TFLOPs: 22.10 |
7:  iteration    32370/   37905 | consumed samples:      8286720 | consumed tokens:  16971202560 | elapsed time per iteration (s): 0.30 | learning rate: 2.949E-06 | global batch size:   256 | lm loss: 3.332038E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 865.700 | TFLOPs: 22.05 |
7:  iteration    32380/   37905 | consumed samples:      8289280 | consumed tokens:  16976445440 | elapsed time per iteration (s): 0.27 | learning rate: 2.946E-06 | global batch size:   256 | lm loss: 3.327881E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.638 | TFLOPs: 24.29 |
7:  iteration    32390/   37905 | consumed samples:      8291840 | consumed tokens:  16981688320 | elapsed time per iteration (s): 0.28 | learning rate: 2.942E-06 | global batch size:   256 | lm loss: 3.332657E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 902.487 | TFLOPs: 22.99 |
7:  iteration    32400/   37905 | consumed samples:      8294400 | consumed tokens:  16986931200 | elapsed time per iteration (s): 0.26 | learning rate: 2.939E-06 | global batch size:   256 | lm loss: 3.308766E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.722 | TFLOPs: 24.98 |
7:  iteration    32410/   37905 | consumed samples:      8296960 | consumed tokens:  16992174080 | elapsed time per iteration (s): 0.29 | learning rate: 2.936E-06 | global batch size:   256 | lm loss: 3.318515E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 875.512 | TFLOPs: 22.30 |
7:  iteration    32420/   37905 | consumed samples:      8299520 | consumed tokens:  16997416960 | elapsed time per iteration (s): 0.29 | learning rate: 2.932E-06 | global batch size:   256 | lm loss: 3.341925E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 884.530 | TFLOPs: 22.53 |
7:  iteration    32430/   37905 | consumed samples:      8302080 | consumed tokens:  17002659840 | elapsed time per iteration (s): 0.27 | learning rate: 2.929E-06 | global batch size:   256 | lm loss: 3.321864E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.220 | TFLOPs: 24.56 |
7:  iteration    32440/   37905 | consumed samples:      8304640 | consumed tokens:  17007902720 | elapsed time per iteration (s): 0.26 | learning rate: 2.926E-06 | global batch size:   256 | lm loss: 3.362525E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.672 | TFLOPs: 25.21 |
7:  iteration    32450/   37905 | consumed samples:      8307200 | consumed tokens:  17013145600 | elapsed time per iteration (s): 0.26 | learning rate: 2.922E-06 | global batch size:   256 | lm loss: 3.315635E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.071 | TFLOPs: 24.89 |
7:  iteration    32460/   37905 | consumed samples:      8309760 | consumed tokens:  17018388480 | elapsed time per iteration (s): 0.25 | learning rate: 2.919E-06 | global batch size:   256 | lm loss: 3.332307E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.755 | TFLOPs: 26.39 |
7:  iteration    32470/   37905 | consumed samples:      8312320 | consumed tokens:  17023631360 | elapsed time per iteration (s): 0.25 | learning rate: 2.916E-06 | global batch size:   256 | lm loss: 3.359311E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.901 | TFLOPs: 25.73 |
7:  iteration    32480/   37905 | consumed samples:      8314880 | consumed tokens:  17028874240 | elapsed time per iteration (s): 0.25 | learning rate: 2.912E-06 | global batch size:   256 | lm loss: 3.340770E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.074 | TFLOPs: 25.63 |
7:  iteration    32490/   37905 | consumed samples:      8317440 | consumed tokens:  17034117120 | elapsed time per iteration (s): 0.26 | learning rate: 2.909E-06 | global batch size:   256 | lm loss: 3.277528E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.647 | TFLOPs: 25.13 |
7:  iteration    32500/   37905 | consumed samples:      8320000 | consumed tokens:  17039360000 | elapsed time per iteration (s): 0.30 | learning rate: 2.906E-06 | global batch size:   256 | lm loss: 3.306247E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 849.704 | TFLOPs: 21.65 |
7:  iteration    32510/   37905 | consumed samples:      8322560 | consumed tokens:  17044602880 | elapsed time per iteration (s): 0.27 | learning rate: 2.903E-06 | global batch size:   256 | lm loss: 3.306475E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.916 | TFLOPs: 24.38 |
7:  iteration    32520/   37905 | consumed samples:      8325120 | consumed tokens:  17049845760 | elapsed time per iteration (s): 0.25 | learning rate: 2.899E-06 | global batch size:   256 | lm loss: 3.328717E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.844 | TFLOPs: 25.80 |
7:  iteration    32530/   37905 | consumed samples:      8327680 | consumed tokens:  17055088640 | elapsed time per iteration (s): 0.28 | learning rate: 2.896E-06 | global batch size:   256 | lm loss: 3.314917E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 925.233 | TFLOPs: 23.57 |
7:  iteration    32540/   37905 | consumed samples:      8330240 | consumed tokens:  17060331520 | elapsed time per iteration (s): 0.25 | learning rate: 2.893E-06 | global batch size:   256 | lm loss: 3.322762E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.563 | TFLOPs: 25.67 |
7:  iteration    32550/   37905 | consumed samples:      8332800 | consumed tokens:  17065574400 | elapsed time per iteration (s): 0.27 | learning rate: 2.889E-06 | global batch size:   256 | lm loss: 3.361590E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 962.432 | TFLOPs: 24.52 |
7:  iteration    32560/   37905 | consumed samples:      8335360 | consumed tokens:  17070817280 | elapsed time per iteration (s): 0.28 | learning rate: 2.886E-06 | global batch size:   256 | lm loss: 3.343903E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 917.123 | TFLOPs: 23.36 |
7:  iteration    32570/   37905 | consumed samples:      8337920 | consumed tokens:  17076060160 | elapsed time per iteration (s): 0.25 | learning rate: 2.883E-06 | global batch size:   256 | lm loss: 3.317995E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.900 | TFLOPs: 25.60 |
7:  iteration    32580/   37905 | consumed samples:      8340480 | consumed tokens:  17081303040 | elapsed time per iteration (s): 0.26 | learning rate: 2.880E-06 | global batch size:   256 | lm loss: 3.306350E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.411 | TFLOPs: 24.75 |
7:  iteration    32590/   37905 | consumed samples:      8343040 | consumed tokens:  17086545920 | elapsed time per iteration (s): 0.27 | learning rate: 2.876E-06 | global batch size:   256 | lm loss: 3.341761E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.929 | TFLOPs: 24.38 |
7:  iteration    32600/   37905 | consumed samples:      8345600 | consumed tokens:  17091788800 | elapsed time per iteration (s): 0.28 | learning rate: 2.873E-06 | global batch size:   256 | lm loss: 3.328329E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.481 | TFLOPs: 23.55 |
7:  iteration    32610/   37905 | consumed samples:      8348160 | consumed tokens:  17097031680 | elapsed time per iteration (s): 0.24 | learning rate: 2.870E-06 | global batch size:   256 | lm loss: 3.295769E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.581 | TFLOPs: 26.66 |
7:  iteration    32620/   37905 | consumed samples:      8350720 | consumed tokens:  17102274560 | elapsed time per iteration (s): 0.26 | learning rate: 2.867E-06 | global batch size:   256 | lm loss: 3.337667E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.380 | TFLOPs: 24.72 |
7:  iteration    32630/   37905 | consumed samples:      8353280 | consumed tokens:  17107517440 | elapsed time per iteration (s): 0.24 | learning rate: 2.863E-06 | global batch size:   256 | lm loss: 3.319173E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.653 | TFLOPs: 26.94 |
7:  iteration    32640/   37905 | consumed samples:      8355840 | consumed tokens:  17112760320 | elapsed time per iteration (s): 0.28 | learning rate: 2.860E-06 | global batch size:   256 | lm loss: 3.311412E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.381 | TFLOPs: 23.52 |
7:  iteration    32650/   37905 | consumed samples:      8358400 | consumed tokens:  17118003200 | elapsed time per iteration (s): 0.28 | learning rate: 2.857E-06 | global batch size:   256 | lm loss: 3.285050E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.540 | TFLOPs: 23.60 |
7:  iteration    32660/   37905 | consumed samples:      8360960 | consumed tokens:  17123246080 | elapsed time per iteration (s): 0.26 | learning rate: 2.854E-06 | global batch size:   256 | lm loss: 3.294327E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.401 | TFLOPs: 25.21 |
7:  iteration    32670/   37905 | consumed samples:      8363520 | consumed tokens:  17128488960 | elapsed time per iteration (s): 0.27 | learning rate: 2.851E-06 | global batch size:   256 | lm loss: 3.348980E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.449 | TFLOPs: 24.26 |
7:  iteration    32680/   37905 | consumed samples:      8366080 | consumed tokens:  17133731840 | elapsed time per iteration (s): 0.24 | learning rate: 2.847E-06 | global batch size:   256 | lm loss: 3.327612E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.867 | TFLOPs: 27.23 |
7:  iteration    32690/   37905 | consumed samples:      8368640 | consumed tokens:  17138974720 | elapsed time per iteration (s): 0.29 | learning rate: 2.844E-06 | global batch size:   256 | lm loss: 3.321372E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 875.888 | TFLOPs: 22.31 |
7:  iteration    32700/   37905 | consumed samples:      8371200 | consumed tokens:  17144217600 | elapsed time per iteration (s): 0.26 | learning rate: 2.841E-06 | global batch size:   256 | lm loss: 3.325984E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 988.306 | TFLOPs: 25.18 |
7:  iteration    32710/   37905 | consumed samples:      8373760 | consumed tokens:  17149460480 | elapsed time per iteration (s): 0.26 | learning rate: 2.838E-06 | global batch size:   256 | lm loss: 3.340303E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.103 | TFLOPs: 25.48 |
7:  iteration    32720/   37905 | consumed samples:      8376320 | consumed tokens:  17154703360 | elapsed time per iteration (s): 0.24 | learning rate: 2.835E-06 | global batch size:   256 | lm loss: 3.309440E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.845 | TFLOPs: 27.08 |
7:  iteration    32730/   37905 | consumed samples:      8378880 | consumed tokens:  17159946240 | elapsed time per iteration (s): 0.30 | learning rate: 2.832E-06 | global batch size:   256 | lm loss: 3.348328E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 846.774 | TFLOPs: 21.57 |
7:  iteration    32740/   37905 | consumed samples:      8381440 | consumed tokens:  17165189120 | elapsed time per iteration (s): 0.26 | learning rate: 2.828E-06 | global batch size:   256 | lm loss: 3.321529E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.497 | TFLOPs: 25.23 |
7:  iteration    32750/   37905 | consumed samples:      8384000 | consumed tokens:  17170432000 | elapsed time per iteration (s): 0.28 | learning rate: 2.825E-06 | global batch size:   256 | lm loss: 3.349514E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.833 | TFLOPs: 23.69 |
7:  iteration    32760/   37905 | consumed samples:      8386560 | consumed tokens:  17175674880 | elapsed time per iteration (s): 0.27 | learning rate: 2.822E-06 | global batch size:   256 | lm loss: 3.331429E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.170 | TFLOPs: 23.85 |
7:  iteration    32770/   37905 | consumed samples:      8389120 | consumed tokens:  17180917760 | elapsed time per iteration (s): 0.28 | learning rate: 2.819E-06 | global batch size:   256 | lm loss: 3.350295E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 925.127 | TFLOPs: 23.57 |
7:  iteration    32780/   37905 | consumed samples:      8391680 | consumed tokens:  17186160640 | elapsed time per iteration (s): 0.24 | learning rate: 2.816E-06 | global batch size:   256 | lm loss: 3.318333E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.074 | TFLOPs: 27.26 |
7:  iteration    32790/   37905 | consumed samples:      8394240 | consumed tokens:  17191403520 | elapsed time per iteration (s): 0.28 | learning rate: 2.813E-06 | global batch size:   256 | lm loss: 3.337119E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.887 | TFLOPs: 23.08 |
7:  iteration    32800/   37905 | consumed samples:      8396800 | consumed tokens:  17196646400 | elapsed time per iteration (s): 0.24 | learning rate: 2.810E-06 | global batch size:   256 | lm loss: 3.325922E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.573 | TFLOPs: 26.81 |
7:  iteration    32810/   37905 | consumed samples:      8399360 | consumed tokens:  17201889280 | elapsed time per iteration (s): 0.26 | learning rate: 2.806E-06 | global batch size:   256 | lm loss: 3.351317E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.102 | TFLOPs: 24.84 |
7:  iteration    32820/   37905 | consumed samples:      8401920 | consumed tokens:  17207132160 | elapsed time per iteration (s): 0.27 | learning rate: 2.803E-06 | global batch size:   256 | lm loss: 3.352135E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.136 | TFLOPs: 24.23 |
7:  iteration    32830/   37905 | consumed samples:      8404480 | consumed tokens:  17212375040 | elapsed time per iteration (s): 0.26 | learning rate: 2.800E-06 | global batch size:   256 | lm loss: 3.381876E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.834 | TFLOPs: 24.66 |
7:  iteration    32840/   37905 | consumed samples:      8407040 | consumed tokens:  17217617920 | elapsed time per iteration (s): 0.25 | learning rate: 2.797E-06 | global batch size:   256 | lm loss: 3.352547E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1010.270 | TFLOPs: 25.74 |
7:  iteration    32850/   37905 | consumed samples:      8409600 | consumed tokens:  17222860800 | elapsed time per iteration (s): 0.27 | learning rate: 2.794E-06 | global batch size:   256 | lm loss: 3.313277E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 944.159 | TFLOPs: 24.05 |
7:  iteration    32860/   37905 | consumed samples:      8412160 | consumed tokens:  17228103680 | elapsed time per iteration (s): 0.25 | learning rate: 2.791E-06 | global batch size:   256 | lm loss: 3.353650E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.860 | TFLOPs: 26.44 |
7:  iteration    32870/   37905 | consumed samples:      8414720 | consumed tokens:  17233346560 | elapsed time per iteration (s): 0.26 | learning rate: 2.788E-06 | global batch size:   256 | lm loss: 3.323033E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.744 | TFLOPs: 25.26 |
7:  iteration    32880/   37905 | consumed samples:      8417280 | consumed tokens:  17238589440 | elapsed time per iteration (s): 0.24 | learning rate: 2.785E-06 | global batch size:   256 | lm loss: 3.330998E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.967 | TFLOPs: 27.28 |
7:  iteration    32890/   37905 | consumed samples:      8419840 | consumed tokens:  17243832320 | elapsed time per iteration (s): 0.24 | learning rate: 2.782E-06 | global batch size:   256 | lm loss: 3.317863E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.235 | TFLOPs: 27.42 |
7:  iteration    32900/   37905 | consumed samples:      8422400 | consumed tokens:  17249075200 | elapsed time per iteration (s): 0.29 | learning rate: 2.779E-06 | global batch size:   256 | lm loss: 3.318930E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.719 | TFLOPs: 22.23 |
7:  iteration    32910/   37905 | consumed samples:      8424960 | consumed tokens:  17254318080 | elapsed time per iteration (s): 0.26 | learning rate: 2.776E-06 | global batch size:   256 | lm loss: 3.322310E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.853 | TFLOPs: 24.94 |
7:  iteration    32920/   37905 | consumed samples:      8427520 | consumed tokens:  17259560960 | elapsed time per iteration (s): 0.25 | learning rate: 2.772E-06 | global batch size:   256 | lm loss: 3.312031E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1043.038 | TFLOPs: 26.57 |
7:  iteration    32930/   37905 | consumed samples:      8430080 | consumed tokens:  17264803840 | elapsed time per iteration (s): 0.25 | learning rate: 2.769E-06 | global batch size:   256 | lm loss: 3.376735E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.754 | TFLOPs: 26.16 |
7:  iteration    32940/   37905 | consumed samples:      8432640 | consumed tokens:  17270046720 | elapsed time per iteration (s): 0.26 | learning rate: 2.766E-06 | global batch size:   256 | lm loss: 3.370216E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.989 | TFLOPs: 25.22 |
7:  iteration    32950/   37905 | consumed samples:      8435200 | consumed tokens:  17275289600 | elapsed time per iteration (s): 0.25 | learning rate: 2.763E-06 | global batch size:   256 | lm loss: 3.364781E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.023 | TFLOPs: 25.78 |
7:  iteration    32960/   37905 | consumed samples:      8437760 | consumed tokens:  17280532480 | elapsed time per iteration (s): 0.27 | learning rate: 2.760E-06 | global batch size:   256 | lm loss: 3.338969E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.429 | TFLOPs: 24.19 |
7:  iteration    32970/   37905 | consumed samples:      8440320 | consumed tokens:  17285775360 | elapsed time per iteration (s): 0.24 | learning rate: 2.757E-06 | global batch size:   256 | lm loss: 3.345475E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1072.699 | TFLOPs: 27.33 |
7:  iteration    32980/   37905 | consumed samples:      8442880 | consumed tokens:  17291018240 | elapsed time per iteration (s): 0.24 | learning rate: 2.754E-06 | global batch size:   256 | lm loss: 3.371693E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.272 | TFLOPs: 27.37 |
7:  iteration    32990/   37905 | consumed samples:      8445440 | consumed tokens:  17296261120 | elapsed time per iteration (s): 0.30 | learning rate: 2.751E-06 | global batch size:   256 | lm loss: 3.304604E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 842.310 | TFLOPs: 21.46 |
7:  iteration    33000/   37905 | consumed samples:      8448000 | consumed tokens:  17301504000 | elapsed time per iteration (s): 0.24 | learning rate: 2.748E-06 | global batch size:   256 | lm loss: 3.369642E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1076.426 | TFLOPs: 27.42 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 33000 | lm loss value: 3.201018E+00 | lm loss PPL: 2.455751E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   33000 to checkpoints_83slr
0: [2022-11-28 17:35:45,107] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step33000 is begin to save!
0: [2022-11-28 17:35:45,142] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/layer_01-model_00-model_states.pt...
0: [2022-11-28 17:35:45,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step33000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 17:35:45,359] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step33000/layer_04-model_00-model_states.pt.
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0: [2022-11-28 17:35:45,452] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 17:35:45,454] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step33000/mp_rank_00_model_states.pt
0: [2022-11-28 17:35:45,454] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/mp_rank_00_model_states.pt...
0: [2022-11-28 17:35:45,456] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step33000/mp_rank_00_model_states.pt.
0: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt...
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0: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
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7: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
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6: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt...
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4: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt...
4: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt...
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7: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt...
7: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt...
1: [2022-11-28 17:35:45,474] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step33000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt...
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0:   successfully saved checkpoint at iteration   33000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 404.00
7:  iteration    33010/   37905 | consumed samples:      8450560 | consumed tokens:  17306746880 | elapsed time per iteration (s): 0.29 | learning rate: 2.745E-06 | global batch size:   256 | lm loss: 3.360815E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.925 | TFLOPs: 22.21 |
7:  iteration    33020/   37905 | consumed samples:      8453120 | consumed tokens:  17311989760 | elapsed time per iteration (s): 0.23 | learning rate: 2.742E-06 | global batch size:   256 | lm loss: 3.363031E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1100.828 | TFLOPs: 28.04 |
7:  iteration    33030/   37905 | consumed samples:      8455680 | consumed tokens:  17317232640 | elapsed time per iteration (s): 0.26 | learning rate: 2.739E-06 | global batch size:   256 | lm loss: 3.352803E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.736 | TFLOPs: 24.68 |
7:  iteration    33040/   37905 | consumed samples:      8458240 | consumed tokens:  17322475520 | elapsed time per iteration (s): 0.24 | learning rate: 2.736E-06 | global batch size:   256 | lm loss: 3.306474E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1060.023 | TFLOPs: 27.00 |
7:  iteration    33050/   37905 | consumed samples:      8460800 | consumed tokens:  17327718400 | elapsed time per iteration (s): 0.26 | learning rate: 2.733E-06 | global batch size:   256 | lm loss: 3.292794E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.657 | TFLOPs: 24.88 |
7:  iteration    33060/   37905 | consumed samples:      8463360 | consumed tokens:  17332961280 | elapsed time per iteration (s): 0.27 | learning rate: 2.730E-06 | global batch size:   256 | lm loss: 3.315623E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.624 | TFLOPs: 24.01 |
7:  iteration    33070/   37905 | consumed samples:      8465920 | consumed tokens:  17338204160 | elapsed time per iteration (s): 0.25 | learning rate: 2.727E-06 | global batch size:   256 | lm loss: 3.343178E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.214 | TFLOPs: 26.07 |
7:  iteration    33080/   37905 | consumed samples:      8468480 | consumed tokens:  17343447040 | elapsed time per iteration (s): 0.28 | learning rate: 2.724E-06 | global batch size:   256 | lm loss: 3.284766E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 901.584 | TFLOPs: 22.97 |
7:  iteration    33090/   37905 | consumed samples:      8471040 | consumed tokens:  17348689920 | elapsed time per iteration (s): 0.23 | learning rate: 2.721E-06 | global batch size:   256 | lm loss: 3.348711E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1107.289 | TFLOPs: 28.21 |
7:  iteration    33100/   37905 | consumed samples:      8473600 | consumed tokens:  17353932800 | elapsed time per iteration (s): 0.28 | learning rate: 2.718E-06 | global batch size:   256 | lm loss: 3.331734E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.667 | TFLOPs: 23.17 |
7:  iteration    33110/   37905 | consumed samples:      8476160 | consumed tokens:  17359175680 | elapsed time per iteration (s): 0.25 | learning rate: 2.715E-06 | global batch size:   256 | lm loss: 3.338234E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.326 | TFLOPs: 26.07 |
7:  iteration    33120/   37905 | consumed samples:      8478720 | consumed tokens:  17364418560 | elapsed time per iteration (s): 0.26 | learning rate: 2.713E-06 | global batch size:   256 | lm loss: 3.295399E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.895 | TFLOPs: 25.04 |
7:  iteration    33130/   37905 | consumed samples:      8481280 | consumed tokens:  17369661440 | elapsed time per iteration (s): 0.23 | learning rate: 2.710E-06 | global batch size:   256 | lm loss: 3.297284E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1102.766 | TFLOPs: 28.09 |
7:  iteration    33140/   37905 | consumed samples:      8483840 | consumed tokens:  17374904320 | elapsed time per iteration (s): 0.27 | learning rate: 2.707E-06 | global batch size:   256 | lm loss: 3.302391E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.904 | TFLOPs: 24.38 |
7:  iteration    33150/   37905 | consumed samples:      8486400 | consumed tokens:  17380147200 | elapsed time per iteration (s): 0.27 | learning rate: 2.704E-06 | global batch size:   256 | lm loss: 3.318579E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.757 | TFLOPs: 24.50 |
7:  iteration    33160/   37905 | consumed samples:      8488960 | consumed tokens:  17385390080 | elapsed time per iteration (s): 0.26 | learning rate: 2.701E-06 | global batch size:   256 | lm loss: 3.343243E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1000.694 | TFLOPs: 25.49 |
7:  iteration    33170/   37905 | consumed samples:      8491520 | consumed tokens:  17390632960 | elapsed time per iteration (s): 0.26 | learning rate: 2.698E-06 | global batch size:   256 | lm loss: 3.327232E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.570 | TFLOPs: 25.46 |
7:  iteration    33180/   37905 | consumed samples:      8494080 | consumed tokens:  17395875840 | elapsed time per iteration (s): 0.25 | learning rate: 2.695E-06 | global batch size:   256 | lm loss: 3.338238E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.571 | TFLOPs: 25.95 |
7:  iteration    33190/   37905 | consumed samples:      8496640 | consumed tokens:  17401118720 | elapsed time per iteration (s): 0.25 | learning rate: 2.692E-06 | global batch size:   256 | lm loss: 3.330883E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.080 | TFLOPs: 26.29 |
7:  iteration    33200/   37905 | consumed samples:      8499200 | consumed tokens:  17406361600 | elapsed time per iteration (s): 0.25 | learning rate: 2.689E-06 | global batch size:   256 | lm loss: 3.316791E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.670 | TFLOPs: 25.59 |
7:  iteration    33210/   37905 | consumed samples:      8501760 | consumed tokens:  17411604480 | elapsed time per iteration (s): 0.29 | learning rate: 2.686E-06 | global batch size:   256 | lm loss: 3.336972E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 880.485 | TFLOPs: 22.43 |
7:  iteration    33220/   37905 | consumed samples:      8504320 | consumed tokens:  17416847360 | elapsed time per iteration (s): 0.24 | learning rate: 2.683E-06 | global batch size:   256 | lm loss: 3.326685E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.988 | TFLOPs: 27.61 |
7:  iteration    33230/   37905 | consumed samples:      8506880 | consumed tokens:  17422090240 | elapsed time per iteration (s): 0.28 | learning rate: 2.681E-06 | global batch size:   256 | lm loss: 3.326982E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.122 | TFLOPs: 23.47 |
7:  iteration    33240/   37905 | consumed samples:      8509440 | consumed tokens:  17427333120 | elapsed time per iteration (s): 0.26 | learning rate: 2.678E-06 | global batch size:   256 | lm loss: 3.358347E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.465 | TFLOPs: 25.31 |
7:  iteration    33250/   37905 | consumed samples:      8512000 | consumed tokens:  17432576000 | elapsed time per iteration (s): 0.26 | learning rate: 2.675E-06 | global batch size:   256 | lm loss: 3.341268E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.480 | TFLOPs: 24.98 |
7:  iteration    33260/   37905 | consumed samples:      8514560 | consumed tokens:  17437818880 | elapsed time per iteration (s): 0.24 | learning rate: 2.672E-06 | global batch size:   256 | lm loss: 3.293718E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.948 | TFLOPs: 26.62 |
7:  iteration    33270/   37905 | consumed samples:      8517120 | consumed tokens:  17443061760 | elapsed time per iteration (s): 0.26 | learning rate: 2.669E-06 | global batch size:   256 | lm loss: 3.370309E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.852 | TFLOPs: 24.91 |
7:  iteration    33280/   37905 | consumed samples:      8519680 | consumed tokens:  17448304640 | elapsed time per iteration (s): 0.25 | learning rate: 2.666E-06 | global batch size:   256 | lm loss: 3.384157E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.936 | TFLOPs: 25.58 |
7:  iteration    33290/   37905 | consumed samples:      8522240 | consumed tokens:  17453547520 | elapsed time per iteration (s): 0.27 | learning rate: 2.663E-06 | global batch size:   256 | lm loss: 3.359004E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.414 | TFLOPs: 24.36 |
7:  iteration    33300/   37905 | consumed samples:      8524800 | consumed tokens:  17458790400 | elapsed time per iteration (s): 0.24 | learning rate: 2.661E-06 | global batch size:   256 | lm loss: 3.300150E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.398 | TFLOPs: 27.60 |
7:  iteration    33310/   37905 | consumed samples:      8527360 | consumed tokens:  17464033280 | elapsed time per iteration (s): 0.28 | learning rate: 2.658E-06 | global batch size:   256 | lm loss: 3.386474E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 911.040 | TFLOPs: 23.21 |
7:  iteration    33320/   37905 | consumed samples:      8529920 | consumed tokens:  17469276160 | elapsed time per iteration (s): 0.25 | learning rate: 2.655E-06 | global batch size:   256 | lm loss: 3.373846E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.339 | TFLOPs: 25.87 |
7:  iteration    33330/   37905 | consumed samples:      8532480 | consumed tokens:  17474519040 | elapsed time per iteration (s): 0.28 | learning rate: 2.652E-06 | global batch size:   256 | lm loss: 3.325397E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.849 | TFLOPs: 23.54 |
7:  iteration    33340/   37905 | consumed samples:      8535040 | consumed tokens:  17479761920 | elapsed time per iteration (s): 0.24 | learning rate: 2.649E-06 | global batch size:   256 | lm loss: 3.339716E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1047.815 | TFLOPs: 26.69 |
7:  iteration    33350/   37905 | consumed samples:      8537600 | consumed tokens:  17485004800 | elapsed time per iteration (s): 0.24 | learning rate: 2.647E-06 | global batch size:   256 | lm loss: 3.290170E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1063.695 | TFLOPs: 27.10 |
7:  iteration    33360/   37905 | consumed samples:      8540160 | consumed tokens:  17490247680 | elapsed time per iteration (s): 0.28 | learning rate: 2.644E-06 | global batch size:   256 | lm loss: 3.328535E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.861 | TFLOPs: 23.18 |
7:  iteration    33370/   37905 | consumed samples:      8542720 | consumed tokens:  17495490560 | elapsed time per iteration (s): 0.26 | learning rate: 2.641E-06 | global batch size:   256 | lm loss: 3.336470E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.008 | TFLOPs: 24.81 |
7:  iteration    33380/   37905 | consumed samples:      8545280 | consumed tokens:  17500733440 | elapsed time per iteration (s): 0.26 | learning rate: 2.638E-06 | global batch size:   256 | lm loss: 3.362635E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.218 | TFLOPs: 25.05 |
7:  iteration    33390/   37905 | consumed samples:      8547840 | consumed tokens:  17505976320 | elapsed time per iteration (s): 0.25 | learning rate: 2.635E-06 | global batch size:   256 | lm loss: 3.349618E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.022 | TFLOPs: 26.01 |
7:  iteration    33400/   37905 | consumed samples:      8550400 | consumed tokens:  17511219200 | elapsed time per iteration (s): 0.26 | learning rate: 2.633E-06 | global batch size:   256 | lm loss: 3.344876E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.806 | TFLOPs: 24.86 |
7:  iteration    33410/   37905 | consumed samples:      8552960 | consumed tokens:  17516462080 | elapsed time per iteration (s): 0.24 | learning rate: 2.630E-06 | global batch size:   256 | lm loss: 3.350022E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.640 | TFLOPs: 27.38 |
7:  iteration    33420/   37905 | consumed samples:      8555520 | consumed tokens:  17521704960 | elapsed time per iteration (s): 0.27 | learning rate: 2.627E-06 | global batch size:   256 | lm loss: 3.290381E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.967 | TFLOPs: 23.84 |
7:  iteration    33430/   37905 | consumed samples:      8558080 | consumed tokens:  17526947840 | elapsed time per iteration (s): 0.25 | learning rate: 2.624E-06 | global batch size:   256 | lm loss: 3.323041E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.838 | TFLOPs: 25.70 |
7:  iteration    33440/   37905 | consumed samples:      8560640 | consumed tokens:  17532190720 | elapsed time per iteration (s): 0.25 | learning rate: 2.622E-06 | global batch size:   256 | lm loss: 3.299109E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1015.369 | TFLOPs: 25.87 |
7:  iteration    33450/   37905 | consumed samples:      8563200 | consumed tokens:  17537433600 | elapsed time per iteration (s): 0.24 | learning rate: 2.619E-06 | global batch size:   256 | lm loss: 3.377448E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1053.874 | TFLOPs: 26.85 |
7:  iteration    33460/   37905 | consumed samples:      8565760 | consumed tokens:  17542676480 | elapsed time per iteration (s): 0.26 | learning rate: 2.616E-06 | global batch size:   256 | lm loss: 3.364155E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.888 | TFLOPs: 25.42 |
7:  iteration    33470/   37905 | consumed samples:      8568320 | consumed tokens:  17547919360 | elapsed time per iteration (s): 0.24 | learning rate: 2.613E-06 | global batch size:   256 | lm loss: 3.325765E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.794 | TFLOPs: 26.95 |
7:  iteration    33480/   37905 | consumed samples:      8570880 | consumed tokens:  17553162240 | elapsed time per iteration (s): 0.27 | learning rate: 2.611E-06 | global batch size:   256 | lm loss: 3.333862E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.546 | TFLOPs: 24.55 |
7:  iteration    33490/   37905 | consumed samples:      8573440 | consumed tokens:  17558405120 | elapsed time per iteration (s): 0.25 | learning rate: 2.608E-06 | global batch size:   256 | lm loss: 3.349302E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1009.280 | TFLOPs: 25.71 |
7:  iteration    33500/   37905 | consumed samples:      8576000 | consumed tokens:  17563648000 | elapsed time per iteration (s): 0.26 | learning rate: 2.605E-06 | global batch size:   256 | lm loss: 3.325032E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.711 | TFLOPs: 25.14 |
7:  iteration    33510/   37905 | consumed samples:      8578560 | consumed tokens:  17568890880 | elapsed time per iteration (s): 0.26 | learning rate: 2.602E-06 | global batch size:   256 | lm loss: 3.330516E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.721 | TFLOPs: 24.68 |
7:  iteration    33520/   37905 | consumed samples:      8581120 | consumed tokens:  17574133760 | elapsed time per iteration (s): 0.26 | learning rate: 2.600E-06 | global batch size:   256 | lm loss: 3.315574E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 986.840 | TFLOPs: 25.14 |
7:  iteration    33530/   37905 | consumed samples:      8583680 | consumed tokens:  17579376640 | elapsed time per iteration (s): 0.29 | learning rate: 2.597E-06 | global batch size:   256 | lm loss: 3.322924E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 895.766 | TFLOPs: 22.82 |
7:  iteration    33540/   37905 | consumed samples:      8586240 | consumed tokens:  17584619520 | elapsed time per iteration (s): 0.23 | learning rate: 2.594E-06 | global batch size:   256 | lm loss: 3.336823E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1093.090 | TFLOPs: 27.85 |
7:  iteration    33550/   37905 | consumed samples:      8588800 | consumed tokens:  17589862400 | elapsed time per iteration (s): 0.28 | learning rate: 2.592E-06 | global batch size:   256 | lm loss: 3.360298E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.613 | TFLOPs: 23.71 |
7:  iteration    33560/   37905 | consumed samples:      8591360 | consumed tokens:  17595105280 | elapsed time per iteration (s): 0.27 | learning rate: 2.589E-06 | global batch size:   256 | lm loss: 3.323480E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.407 | TFLOPs: 24.44 |
7:  iteration    33570/   37905 | consumed samples:      8593920 | consumed tokens:  17600348160 | elapsed time per iteration (s): 0.23 | learning rate: 2.586E-06 | global batch size:   256 | lm loss: 3.340705E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1108.260 | TFLOPs: 28.23 |
7:  iteration    33580/   37905 | consumed samples:      8596480 | consumed tokens:  17605591040 | elapsed time per iteration (s): 0.27 | learning rate: 2.584E-06 | global batch size:   256 | lm loss: 3.329496E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.822 | TFLOPs: 24.38 |
7:  iteration    33590/   37905 | consumed samples:      8599040 | consumed tokens:  17610833920 | elapsed time per iteration (s): 0.26 | learning rate: 2.581E-06 | global batch size:   256 | lm loss: 3.335428E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.631 | TFLOPs: 24.85 |
7:  iteration    33600/   37905 | consumed samples:      8601600 | consumed tokens:  17616076800 | elapsed time per iteration (s): 0.26 | learning rate: 2.578E-06 | global batch size:   256 | lm loss: 3.318825E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.631 | TFLOPs: 24.75 |
7:  iteration    33610/   37905 | consumed samples:      8604160 | consumed tokens:  17621319680 | elapsed time per iteration (s): 0.26 | learning rate: 2.576E-06 | global batch size:   256 | lm loss: 3.348876E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.976 | TFLOPs: 24.71 |
7:  iteration    33620/   37905 | consumed samples:      8606720 | consumed tokens:  17626562560 | elapsed time per iteration (s): 0.26 | learning rate: 2.573E-06 | global batch size:   256 | lm loss: 3.324868E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.405 | TFLOPs: 25.46 |
7:  iteration    33630/   37905 | consumed samples:      8609280 | consumed tokens:  17631805440 | elapsed time per iteration (s): 0.27 | learning rate: 2.570E-06 | global batch size:   256 | lm loss: 3.309626E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.405 | TFLOPs: 24.42 |
7:  iteration    33640/   37905 | consumed samples:      8611840 | consumed tokens:  17637048320 | elapsed time per iteration (s): 0.26 | learning rate: 2.568E-06 | global batch size:   256 | lm loss: 3.355165E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 996.648 | TFLOPs: 25.39 |
7:  iteration    33650/   37905 | consumed samples:      8614400 | consumed tokens:  17642291200 | elapsed time per iteration (s): 0.28 | learning rate: 2.565E-06 | global batch size:   256 | lm loss: 3.345350E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 925.791 | TFLOPs: 23.58 |
7:  iteration    33660/   37905 | consumed samples:      8616960 | consumed tokens:  17647534080 | elapsed time per iteration (s): 0.26 | learning rate: 2.562E-06 | global batch size:   256 | lm loss: 3.338935E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1003.618 | TFLOPs: 25.57 |
7:  iteration    33670/   37905 | consumed samples:      8619520 | consumed tokens:  17652776960 | elapsed time per iteration (s): 0.26 | learning rate: 2.560E-06 | global batch size:   256 | lm loss: 3.299301E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.852 | TFLOPs: 24.68 |
7:  iteration    33680/   37905 | consumed samples:      8622080 | consumed tokens:  17658019840 | elapsed time per iteration (s): 0.25 | learning rate: 2.557E-06 | global batch size:   256 | lm loss: 3.322335E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.686 | TFLOPs: 26.28 |
7:  iteration    33690/   37905 | consumed samples:      8624640 | consumed tokens:  17663262720 | elapsed time per iteration (s): 0.28 | learning rate: 2.555E-06 | global batch size:   256 | lm loss: 3.322736E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.092 | TFLOPs: 23.26 |
7:  iteration    33700/   37905 | consumed samples:      8627200 | consumed tokens:  17668505600 | elapsed time per iteration (s): 0.25 | learning rate: 2.552E-06 | global batch size:   256 | lm loss: 3.357428E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.348 | TFLOPs: 25.59 |
7:  iteration    33710/   37905 | consumed samples:      8629760 | consumed tokens:  17673748480 | elapsed time per iteration (s): 0.23 | learning rate: 2.549E-06 | global batch size:   256 | lm loss: 3.380110E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1104.684 | TFLOPs: 28.14 |
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7:  iteration    33910/   37905 | consumed samples:      8680960 | consumed tokens:  17778606080 | elapsed time per iteration (s): 0.27 | learning rate: 2.499E-06 | global batch size:   256 | lm loss: 3.356370E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.462 | TFLOPs: 23.98 |
7:  iteration    33920/   37905 | consumed samples:      8683520 | consumed tokens:  17783848960 | elapsed time per iteration (s): 0.25 | learning rate: 2.496E-06 | global batch size:   256 | lm loss: 3.331097E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.972 | TFLOPs: 25.68 |
7:  iteration    33930/   37905 | consumed samples:      8686080 | consumed tokens:  17789091840 | elapsed time per iteration (s): 0.26 | learning rate: 2.494E-06 | global batch size:   256 | lm loss: 3.302327E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.375 | TFLOPs: 24.72 |
7:  iteration    33940/   37905 | consumed samples:      8688640 | consumed tokens:  17794334720 | elapsed time per iteration (s): 0.25 | learning rate: 2.491E-06 | global batch size:   256 | lm loss: 3.319459E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.318 | TFLOPs: 26.12 |
7:  iteration    33950/   37905 | consumed samples:      8691200 | consumed tokens:  17799577600 | elapsed time per iteration (s): 0.29 | learning rate: 2.489E-06 | global batch size:   256 | lm loss: 3.337180E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.697 | TFLOPs: 22.74 |
7:  iteration    33960/   37905 | consumed samples:      8693760 | consumed tokens:  17804820480 | elapsed time per iteration (s): 0.25 | learning rate: 2.486E-06 | global batch size:   256 | lm loss: 3.330949E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1044.760 | TFLOPs: 26.62 |
7:  iteration    33970/   37905 | consumed samples:      8696320 | consumed tokens:  17810063360 | elapsed time per iteration (s): 0.27 | learning rate: 2.484E-06 | global batch size:   256 | lm loss: 3.302481E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.170 | TFLOPs: 24.46 |
7:  iteration    33980/   37905 | consumed samples:      8698880 | consumed tokens:  17815306240 | elapsed time per iteration (s): 0.25 | learning rate: 2.482E-06 | global batch size:   256 | lm loss: 3.331110E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.441 | TFLOPs: 26.02 |
7:  iteration    33990/   37905 | consumed samples:      8701440 | consumed tokens:  17820549120 | elapsed time per iteration (s): 0.25 | learning rate: 2.479E-06 | global batch size:   256 | lm loss: 3.328230E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.222 | TFLOPs: 26.07 |
0: [2022-11-28 17:40:03,565] [INFO] [logging.py:68:log_dist] [Rank 0] step=34000, skipped=0, lr=[2.476689688160293e-06, 2.476689688160293e-06, 2.476689688160293e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    34000/   37905 | consumed samples:      8704000 | consumed tokens:  17825792000 | elapsed time per iteration (s): 0.24 | learning rate: 2.477E-06 | global batch size:   256 | lm loss: 3.353663E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1084.519 | TFLOPs: 27.63 |
0: steps: 34000 loss: 3.4276 iter time (s): 0.265 samples/sec: 966.738
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 34000 | lm loss value: 3.180577E+00 | lm loss PPL: 2.406064E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   34000 to checkpoints_83slr
0: [2022-11-28 17:40:03,662] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step34000 is begin to save!
0: [2022-11-28 17:40:03,666] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step34000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 17:40:03,880] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step34000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 17:40:03,881] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step34000/mp_rank_00_model_states.pt
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0: [2022-11-28 17:40:03,900] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step34000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:40:03,900] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step34000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt...
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4: [2022-11-28 17:40:03,930] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step34000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt
4: [2022-11-28 17:40:03,930] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step34000 is ready now!
4: [2022-11-28 17:40:03,932] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step34000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:40:03,932] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step34000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt
4: [2022-11-28 17:40:03,932] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step34000 is ready now!
7: [2022-11-28 17:40:03,932] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step34000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:40:03,932] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step34000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt
7: [2022-11-28 17:40:03,932] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step34000 is ready now!
0:   successfully saved checkpoint at iteration   34000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 272.80
7:  iteration    34010/   37905 | consumed samples:      8706560 | consumed tokens:  17831034880 | elapsed time per iteration (s): 0.30 | learning rate: 2.474E-06 | global batch size:   256 | lm loss: 3.364721E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 861.021 | TFLOPs: 21.93 |
7:  iteration    34020/   37905 | consumed samples:      8709120 | consumed tokens:  17836277760 | elapsed time per iteration (s): 0.27 | learning rate: 2.472E-06 | global batch size:   256 | lm loss: 3.348546E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.562 | TFLOPs: 24.44 |
7:  iteration    34030/   37905 | consumed samples:      8711680 | consumed tokens:  17841520640 | elapsed time per iteration (s): 0.27 | learning rate: 2.469E-06 | global batch size:   256 | lm loss: 3.337173E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.149 | TFLOPs: 24.46 |
7:  iteration    34040/   37905 | consumed samples:      8714240 | consumed tokens:  17846763520 | elapsed time per iteration (s): 0.25 | learning rate: 2.467E-06 | global batch size:   256 | lm loss: 3.340137E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1005.002 | TFLOPs: 25.60 |
7:  iteration    34050/   37905 | consumed samples:      8716800 | consumed tokens:  17852006400 | elapsed time per iteration (s): 0.24 | learning rate: 2.465E-06 | global batch size:   256 | lm loss: 3.332957E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1085.731 | TFLOPs: 27.66 |
7:  iteration    34060/   37905 | consumed samples:      8719360 | consumed tokens:  17857249280 | elapsed time per iteration (s): 0.26 | learning rate: 2.462E-06 | global batch size:   256 | lm loss: 3.290083E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 974.844 | TFLOPs: 24.83 |
7:  iteration    34070/   37905 | consumed samples:      8721920 | consumed tokens:  17862492160 | elapsed time per iteration (s): 0.27 | learning rate: 2.460E-06 | global batch size:   256 | lm loss: 3.304916E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.957 | TFLOPs: 24.12 |
7:  iteration    34080/   37905 | consumed samples:      8724480 | consumed tokens:  17867735040 | elapsed time per iteration (s): 0.26 | learning rate: 2.458E-06 | global batch size:   256 | lm loss: 3.353360E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.946 | TFLOPs: 25.55 |
7:  iteration    34090/   37905 | consumed samples:      8727040 | consumed tokens:  17872977920 | elapsed time per iteration (s): 0.23 | learning rate: 2.455E-06 | global batch size:   256 | lm loss: 3.353109E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1122.745 | TFLOPs: 28.60 |
7:  iteration    34100/   37905 | consumed samples:      8729600 | consumed tokens:  17878220800 | elapsed time per iteration (s): 0.26 | learning rate: 2.453E-06 | global batch size:   256 | lm loss: 3.328506E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.399 | TFLOPs: 25.26 |
7:  iteration    34110/   37905 | consumed samples:      8732160 | consumed tokens:  17883463680 | elapsed time per iteration (s): 0.25 | learning rate: 2.450E-06 | global batch size:   256 | lm loss: 3.311639E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1032.925 | TFLOPs: 26.31 |
7:  iteration    34120/   37905 | consumed samples:      8734720 | consumed tokens:  17888706560 | elapsed time per iteration (s): 0.27 | learning rate: 2.448E-06 | global batch size:   256 | lm loss: 3.336367E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.138 | TFLOPs: 24.49 |
7:  iteration    34130/   37905 | consumed samples:      8737280 | consumed tokens:  17893949440 | elapsed time per iteration (s): 0.26 | learning rate: 2.446E-06 | global batch size:   256 | lm loss: 3.366618E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.832 | TFLOPs: 25.04 |
7:  iteration    34140/   37905 | consumed samples:      8739840 | consumed tokens:  17899192320 | elapsed time per iteration (s): 0.25 | learning rate: 2.443E-06 | global batch size:   256 | lm loss: 3.282667E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.658 | TFLOPs: 26.43 |
7:  iteration    34150/   37905 | consumed samples:      8742400 | consumed tokens:  17904435200 | elapsed time per iteration (s): 0.30 | learning rate: 2.441E-06 | global batch size:   256 | lm loss: 3.320316E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 851.621 | TFLOPs: 21.70 |
7:  iteration    34160/   37905 | consumed samples:      8744960 | consumed tokens:  17909678080 | elapsed time per iteration (s): 0.23 | learning rate: 2.439E-06 | global batch size:   256 | lm loss: 3.319040E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1105.132 | TFLOPs: 28.15 |
7:  iteration    34170/   37905 | consumed samples:      8747520 | consumed tokens:  17914920960 | elapsed time per iteration (s): 0.29 | learning rate: 2.436E-06 | global batch size:   256 | lm loss: 3.330548E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 893.034 | TFLOPs: 22.75 |
7:  iteration    34180/   37905 | consumed samples:      8750080 | consumed tokens:  17920163840 | elapsed time per iteration (s): 0.25 | learning rate: 2.434E-06 | global batch size:   256 | lm loss: 3.377380E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.448 | TFLOPs: 26.07 |
7:  iteration    34190/   37905 | consumed samples:      8752640 | consumed tokens:  17925406720 | elapsed time per iteration (s): 0.27 | learning rate: 2.432E-06 | global batch size:   256 | lm loss: 3.351289E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.374 | TFLOPs: 23.91 |
7:  iteration    34200/   37905 | consumed samples:      8755200 | consumed tokens:  17930649600 | elapsed time per iteration (s): 0.27 | learning rate: 2.429E-06 | global batch size:   256 | lm loss: 3.300632E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.149 | TFLOPs: 24.54 |
7:  iteration    34210/   37905 | consumed samples:      8757760 | consumed tokens:  17935892480 | elapsed time per iteration (s): 0.26 | learning rate: 2.427E-06 | global batch size:   256 | lm loss: 3.314820E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 999.968 | TFLOPs: 25.47 |
7:  iteration    34220/   37905 | consumed samples:      8760320 | consumed tokens:  17941135360 | elapsed time per iteration (s): 0.28 | learning rate: 2.425E-06 | global batch size:   256 | lm loss: 3.338074E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.080 | TFLOPs: 23.24 |
7:  iteration    34230/   37905 | consumed samples:      8762880 | consumed tokens:  17946378240 | elapsed time per iteration (s): 0.24 | learning rate: 2.423E-06 | global batch size:   256 | lm loss: 3.291513E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1057.744 | TFLOPs: 26.95 |
7:  iteration    34240/   37905 | consumed samples:      8765440 | consumed tokens:  17951621120 | elapsed time per iteration (s): 0.24 | learning rate: 2.420E-06 | global batch size:   256 | lm loss: 3.316764E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1055.410 | TFLOPs: 26.89 |
7:  iteration    34250/   37905 | consumed samples:      8768000 | consumed tokens:  17956864000 | elapsed time per iteration (s): 0.29 | learning rate: 2.418E-06 | global batch size:   256 | lm loss: 3.329331E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 873.250 | TFLOPs: 22.25 |
7:  iteration    34260/   37905 | consumed samples:      8770560 | consumed tokens:  17962106880 | elapsed time per iteration (s): 0.24 | learning rate: 2.416E-06 | global batch size:   256 | lm loss: 3.327188E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.110 | TFLOPs: 26.98 |
7:  iteration    34270/   37905 | consumed samples:      8773120 | consumed tokens:  17967349760 | elapsed time per iteration (s): 0.26 | learning rate: 2.414E-06 | global batch size:   256 | lm loss: 3.352702E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.893 | TFLOPs: 24.78 |
7:  iteration    34280/   37905 | consumed samples:      8775680 | consumed tokens:  17972592640 | elapsed time per iteration (s): 0.27 | learning rate: 2.411E-06 | global batch size:   256 | lm loss: 3.349484E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 934.877 | TFLOPs: 23.82 |
7:  iteration    34290/   37905 | consumed samples:      8778240 | consumed tokens:  17977835520 | elapsed time per iteration (s): 0.26 | learning rate: 2.409E-06 | global batch size:   256 | lm loss: 3.370869E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.584 | TFLOPs: 24.85 |
7:  iteration    34300/   37905 | consumed samples:      8780800 | consumed tokens:  17983078400 | elapsed time per iteration (s): 0.27 | learning rate: 2.407E-06 | global batch size:   256 | lm loss: 3.358843E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.773 | TFLOPs: 24.37 |
7:  iteration    34310/   37905 | consumed samples:      8783360 | consumed tokens:  17988321280 | elapsed time per iteration (s): 0.28 | learning rate: 2.405E-06 | global batch size:   256 | lm loss: 3.327124E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.180 | TFLOPs: 23.14 |
7:  iteration    34320/   37905 | consumed samples:      8785920 | consumed tokens:  17993564160 | elapsed time per iteration (s): 0.25 | learning rate: 2.402E-06 | global batch size:   256 | lm loss: 3.381203E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.563 | TFLOPs: 26.20 |
7:  iteration    34330/   37905 | consumed samples:      8788480 | consumed tokens:  17998807040 | elapsed time per iteration (s): 0.28 | learning rate: 2.400E-06 | global batch size:   256 | lm loss: 3.358617E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 898.835 | TFLOPs: 22.90 |
7:  iteration    34340/   37905 | consumed samples:      8791040 | consumed tokens:  18004049920 | elapsed time per iteration (s): 0.28 | learning rate: 2.398E-06 | global batch size:   256 | lm loss: 3.303124E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 915.691 | TFLOPs: 23.33 |
7:  iteration    34350/   37905 | consumed samples:      8793600 | consumed tokens:  18009292800 | elapsed time per iteration (s): 0.26 | learning rate: 2.396E-06 | global batch size:   256 | lm loss: 3.304304E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 979.282 | TFLOPs: 24.95 |
7:  iteration    34360/   37905 | consumed samples:      8796160 | consumed tokens:  18014535680 | elapsed time per iteration (s): 0.27 | learning rate: 2.393E-06 | global batch size:   256 | lm loss: 3.283889E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.575 | TFLOPs: 24.22 |
7:  iteration    34370/   37905 | consumed samples:      8798720 | consumed tokens:  18019778560 | elapsed time per iteration (s): 0.29 | learning rate: 2.391E-06 | global batch size:   256 | lm loss: 3.354013E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.501 | TFLOPs: 22.71 |
7:  iteration    34380/   37905 | consumed samples:      8801280 | consumed tokens:  18025021440 | elapsed time per iteration (s): 0.36 | learning rate: 2.389E-06 | global batch size:   256 | lm loss: 3.367364E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 719.963 | TFLOPs: 18.34 |
7:  iteration    34390/   37905 | consumed samples:      8803840 | consumed tokens:  18030264320 | elapsed time per iteration (s): 0.29 | learning rate: 2.387E-06 | global batch size:   256 | lm loss: 3.299515E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.958 | TFLOPs: 22.75 |
7:  iteration    34400/   37905 | consumed samples:      8806400 | consumed tokens:  18035507200 | elapsed time per iteration (s): 0.24 | learning rate: 2.385E-06 | global batch size:   256 | lm loss: 3.362849E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.562 | TFLOPs: 26.79 |
7:  iteration    34410/   37905 | consumed samples:      8808960 | consumed tokens:  18040750080 | elapsed time per iteration (s): 0.29 | learning rate: 2.383E-06 | global batch size:   256 | lm loss: 3.357806E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 896.313 | TFLOPs: 22.83 |
7:  iteration    34420/   37905 | consumed samples:      8811520 | consumed tokens:  18045992960 | elapsed time per iteration (s): 0.25 | learning rate: 2.380E-06 | global batch size:   256 | lm loss: 3.350080E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.928 | TFLOPs: 25.65 |
7:  iteration    34430/   37905 | consumed samples:      8814080 | consumed tokens:  18051235840 | elapsed time per iteration (s): 0.26 | learning rate: 2.378E-06 | global batch size:   256 | lm loss: 3.353650E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.635 | TFLOPs: 25.26 |
7:  iteration    34440/   37905 | consumed samples:      8816640 | consumed tokens:  18056478720 | elapsed time per iteration (s): 0.23 | learning rate: 2.376E-06 | global batch size:   256 | lm loss: 3.350654E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1094.438 | TFLOPs: 27.88 |
7:  iteration    34450/   37905 | consumed samples:      8819200 | consumed tokens:  18061721600 | elapsed time per iteration (s): 0.27 | learning rate: 2.374E-06 | global batch size:   256 | lm loss: 3.341453E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 944.063 | TFLOPs: 24.05 |
7:  iteration    34460/   37905 | consumed samples:      8821760 | consumed tokens:  18066964480 | elapsed time per iteration (s): 0.26 | learning rate: 2.372E-06 | global batch size:   256 | lm loss: 3.300494E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.673 | TFLOPs: 24.65 |
7:  iteration    34470/   37905 | consumed samples:      8824320 | consumed tokens:  18072207360 | elapsed time per iteration (s): 0.27 | learning rate: 2.370E-06 | global batch size:   256 | lm loss: 3.302161E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.782 | TFLOPs: 23.86 |
7:  iteration    34480/   37905 | consumed samples:      8826880 | consumed tokens:  18077450240 | elapsed time per iteration (s): 0.26 | learning rate: 2.367E-06 | global batch size:   256 | lm loss: 3.299269E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.920 | TFLOPs: 24.66 |
7:  iteration    34490/   37905 | consumed samples:      8829440 | consumed tokens:  18082693120 | elapsed time per iteration (s): 0.25 | learning rate: 2.365E-06 | global batch size:   256 | lm loss: 3.333378E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1025.542 | TFLOPs: 26.13 |
7:  iteration    34500/   37905 | consumed samples:      8832000 | consumed tokens:  18087936000 | elapsed time per iteration (s): 0.25 | learning rate: 2.363E-06 | global batch size:   256 | lm loss: 3.280838E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1024.691 | TFLOPs: 26.10 |
7:  iteration    34510/   37905 | consumed samples:      8834560 | consumed tokens:  18093178880 | elapsed time per iteration (s): 0.29 | learning rate: 2.361E-06 | global batch size:   256 | lm loss: 3.300165E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.491 | TFLOPs: 22.28 |
7:  iteration    34520/   37905 | consumed samples:      8837120 | consumed tokens:  18098421760 | elapsed time per iteration (s): 0.26 | learning rate: 2.359E-06 | global batch size:   256 | lm loss: 3.317596E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 972.263 | TFLOPs: 24.77 |
7:  iteration    34530/   37905 | consumed samples:      8839680 | consumed tokens:  18103664640 | elapsed time per iteration (s): 0.24 | learning rate: 2.357E-06 | global batch size:   256 | lm loss: 3.340462E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.079 | TFLOPs: 26.80 |
7:  iteration    34540/   37905 | consumed samples:      8842240 | consumed tokens:  18108907520 | elapsed time per iteration (s): 0.24 | learning rate: 2.355E-06 | global batch size:   256 | lm loss: 3.311301E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1088.409 | TFLOPs: 27.73 |
7:  iteration    34550/   37905 | consumed samples:      8844800 | consumed tokens:  18114150400 | elapsed time per iteration (s): 0.26 | learning rate: 2.353E-06 | global batch size:   256 | lm loss: 3.359085E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.266 | TFLOPs: 25.51 |
7:  iteration    34560/   37905 | consumed samples:      8847360 | consumed tokens:  18119393280 | elapsed time per iteration (s): 0.26 | learning rate: 2.351E-06 | global batch size:   256 | lm loss: 3.291206E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.208 | TFLOPs: 25.23 |
7:  iteration    34570/   37905 | consumed samples:      8849920 | consumed tokens:  18124636160 | elapsed time per iteration (s): 0.27 | learning rate: 2.349E-06 | global batch size:   256 | lm loss: 3.324363E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.909 | TFLOPs: 24.38 |
7:  iteration    34580/   37905 | consumed samples:      8852480 | consumed tokens:  18129879040 | elapsed time per iteration (s): 0.25 | learning rate: 2.346E-06 | global batch size:   256 | lm loss: 3.363161E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.503 | TFLOPs: 26.02 |
7:  iteration    34590/   37905 | consumed samples:      8855040 | consumed tokens:  18135121920 | elapsed time per iteration (s): 0.27 | learning rate: 2.344E-06 | global batch size:   256 | lm loss: 3.285762E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 937.375 | TFLOPs: 23.88 |
7:  iteration    34600/   37905 | consumed samples:      8857600 | consumed tokens:  18140364800 | elapsed time per iteration (s): 0.23 | learning rate: 2.342E-06 | global batch size:   256 | lm loss: 3.320324E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1099.854 | TFLOPs: 28.02 |
7:  iteration    34610/   37905 | consumed samples:      8860160 | consumed tokens:  18145607680 | elapsed time per iteration (s): 0.25 | learning rate: 2.340E-06 | global batch size:   256 | lm loss: 3.254963E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.184 | TFLOPs: 25.68 |
7:  iteration    34620/   37905 | consumed samples:      8862720 | consumed tokens:  18150850560 | elapsed time per iteration (s): 0.24 | learning rate: 2.338E-06 | global batch size:   256 | lm loss: 3.309634E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1062.973 | TFLOPs: 27.08 |
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7:  iteration    34910/   37905 | consumed samples:      8936960 | consumed tokens:  18302894080 | elapsed time per iteration (s): 0.28 | learning rate: 2.281E-06 | global batch size:   256 | lm loss: 3.345863E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.520 | TFLOPs: 23.48 |
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7:  iteration    34930/   37905 | consumed samples:      8942080 | consumed tokens:  18313379840 | elapsed time per iteration (s): 0.28 | learning rate: 2.278E-06 | global batch size:   256 | lm loss: 3.341131E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.834 | TFLOPs: 23.10 |
7:  iteration    34940/   37905 | consumed samples:      8944640 | consumed tokens:  18318622720 | elapsed time per iteration (s): 0.26 | learning rate: 2.276E-06 | global batch size:   256 | lm loss: 3.319918E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.971 | TFLOPs: 25.09 |
7:  iteration    34950/   37905 | consumed samples:      8947200 | consumed tokens:  18323865600 | elapsed time per iteration (s): 0.26 | learning rate: 2.274E-06 | global batch size:   256 | lm loss: 3.332684E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.280 | TFLOPs: 24.90 |
7:  iteration    34960/   37905 | consumed samples:      8949760 | consumed tokens:  18329108480 | elapsed time per iteration (s): 0.28 | learning rate: 2.272E-06 | global batch size:   256 | lm loss: 3.320489E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 913.391 | TFLOPs: 23.27 |
7:  iteration    34970/   37905 | consumed samples:      8952320 | consumed tokens:  18334351360 | elapsed time per iteration (s): 0.28 | learning rate: 2.270E-06 | global batch size:   256 | lm loss: 3.364732E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.823 | TFLOPs: 23.64 |
7:  iteration    34980/   37905 | consumed samples:      8954880 | consumed tokens:  18339594240 | elapsed time per iteration (s): 0.25 | learning rate: 2.269E-06 | global batch size:   256 | lm loss: 3.356915E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1029.848 | TFLOPs: 26.24 |
7:  iteration    34990/   37905 | consumed samples:      8957440 | consumed tokens:  18344837120 | elapsed time per iteration (s): 0.27 | learning rate: 2.267E-06 | global batch size:   256 | lm loss: 3.363710E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.167 | TFLOPs: 24.36 |
7:  iteration    35000/   37905 | consumed samples:      8960000 | consumed tokens:  18350080000 | elapsed time per iteration (s): 0.23 | learning rate: 2.265E-06 | global batch size:   256 | lm loss: 3.353331E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.280 | TFLOPs: 27.98 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 35000 | lm loss value: 3.282247E+00 | lm loss PPL: 2.663556E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   35000 to checkpoints_83slr
0: [2022-11-28 17:44:25,782] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step35000 is begin to save!
0: [2022-11-28 17:44:25,789] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step35000/layer_01-model_00-model_states.pt...
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0: [2022-11-28 17:44:25,972] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step35000/mp_rank_00_model_states.pt
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0: [2022-11-28 17:44:25,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step35000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:44:25,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step35000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt...
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0: [2022-11-28 17:44:25,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step35000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
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6: [2022-11-28 17:44:25,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step35000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt...
6: [2022-11-28 17:44:25,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step35000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt...
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4: [2022-11-28 17:44:25,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step35000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt...
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2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
2: [2022-11-28 17:44:26,135] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:44:26,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step35000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt
2: [2022-11-28 17:44:26,136] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now!
0:   successfully saved checkpoint at iteration   35000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 357.91
7:  iteration    35010/   37905 | consumed samples:      8962560 | consumed tokens:  18355322880 | elapsed time per iteration (s): 0.30 | learning rate: 2.263E-06 | global batch size:   256 | lm loss: 3.347826E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 858.576 | TFLOPs: 21.87 |
7:  iteration    35020/   37905 | consumed samples:      8965120 | consumed tokens:  18360565760 | elapsed time per iteration (s): 0.26 | learning rate: 2.261E-06 | global batch size:   256 | lm loss: 3.351270E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.309 | TFLOPs: 25.25 |
7:  iteration    35030/   37905 | consumed samples:      8967680 | consumed tokens:  18365808640 | elapsed time per iteration (s): 0.28 | learning rate: 2.259E-06 | global batch size:   256 | lm loss: 3.350706E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.238 | TFLOPs: 23.60 |
7:  iteration    35040/   37905 | consumed samples:      8970240 | consumed tokens:  18371051520 | elapsed time per iteration (s): 0.27 | learning rate: 2.258E-06 | global batch size:   256 | lm loss: 3.324308E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 935.609 | TFLOPs: 23.83 |
7:  iteration    35050/   37905 | consumed samples:      8972800 | consumed tokens:  18376294400 | elapsed time per iteration (s): 0.29 | learning rate: 2.256E-06 | global batch size:   256 | lm loss: 3.364251E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 890.143 | TFLOPs: 22.68 |
7:  iteration    35060/   37905 | consumed samples:      8975360 | consumed tokens:  18381537280 | elapsed time per iteration (s): 0.25 | learning rate: 2.254E-06 | global batch size:   256 | lm loss: 3.306558E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.540 | TFLOPs: 26.25 |
7:  iteration    35070/   37905 | consumed samples:      8977920 | consumed tokens:  18386780160 | elapsed time per iteration (s): 0.26 | learning rate: 2.252E-06 | global batch size:   256 | lm loss: 3.343750E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.586 | TFLOPs: 24.98 |
7:  iteration    35080/   37905 | consumed samples:      8980480 | consumed tokens:  18392023040 | elapsed time per iteration (s): 0.25 | learning rate: 2.251E-06 | global batch size:   256 | lm loss: 3.289979E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.387 | TFLOPs: 26.55 |
7:  iteration    35090/   37905 | consumed samples:      8983040 | consumed tokens:  18397265920 | elapsed time per iteration (s): 0.27 | learning rate: 2.249E-06 | global batch size:   256 | lm loss: 3.321458E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.746 | TFLOPs: 24.42 |
7:  iteration    35100/   37905 | consumed samples:      8985600 | consumed tokens:  18402508800 | elapsed time per iteration (s): 0.29 | learning rate: 2.247E-06 | global batch size:   256 | lm loss: 3.298139E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 873.306 | TFLOPs: 22.25 |
7:  iteration    35110/   37905 | consumed samples:      8988160 | consumed tokens:  18407751680 | elapsed time per iteration (s): 0.27 | learning rate: 2.245E-06 | global batch size:   256 | lm loss: 3.306830E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.458 | TFLOPs: 24.39 |
7:  iteration    35120/   37905 | consumed samples:      8990720 | consumed tokens:  18412994560 | elapsed time per iteration (s): 0.28 | learning rate: 2.244E-06 | global batch size:   256 | lm loss: 3.321532E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.718 | TFLOPs: 23.68 |
7:  iteration    35130/   37905 | consumed samples:      8993280 | consumed tokens:  18418237440 | elapsed time per iteration (s): 0.25 | learning rate: 2.242E-06 | global batch size:   256 | lm loss: 3.341339E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1021.960 | TFLOPs: 26.03 |
7:  iteration    35140/   37905 | consumed samples:      8995840 | consumed tokens:  18423480320 | elapsed time per iteration (s): 0.25 | learning rate: 2.240E-06 | global batch size:   256 | lm loss: 3.348726E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.406 | TFLOPs: 25.97 |
7:  iteration    35150/   37905 | consumed samples:      8998400 | consumed tokens:  18428723200 | elapsed time per iteration (s): 0.25 | learning rate: 2.238E-06 | global batch size:   256 | lm loss: 3.331801E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1012.093 | TFLOPs: 25.78 |
7:  iteration    35160/   37905 | consumed samples:      9000960 | consumed tokens:  18433966080 | elapsed time per iteration (s): 0.26 | learning rate: 2.237E-06 | global batch size:   256 | lm loss: 3.322455E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.366 | TFLOPs: 25.15 |
7:  iteration    35170/   37905 | consumed samples:      9003520 | consumed tokens:  18439208960 | elapsed time per iteration (s): 0.27 | learning rate: 2.235E-06 | global batch size:   256 | lm loss: 3.300598E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.462 | TFLOPs: 24.21 |
7:  iteration    35180/   37905 | consumed samples:      9006080 | consumed tokens:  18444451840 | elapsed time per iteration (s): 0.28 | learning rate: 2.233E-06 | global batch size:   256 | lm loss: 3.327940E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 920.883 | TFLOPs: 23.46 |
7:  iteration    35190/   37905 | consumed samples:      9008640 | consumed tokens:  18449694720 | elapsed time per iteration (s): 0.24 | learning rate: 2.231E-06 | global batch size:   256 | lm loss: 3.350755E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1083.721 | TFLOPs: 27.61 |
7:  iteration    35200/   37905 | consumed samples:      9011200 | consumed tokens:  18454937600 | elapsed time per iteration (s): 0.25 | learning rate: 2.230E-06 | global batch size:   256 | lm loss: 3.354212E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1019.155 | TFLOPs: 25.96 |
7:  iteration    35210/   37905 | consumed samples:      9013760 | consumed tokens:  18460180480 | elapsed time per iteration (s): 0.29 | learning rate: 2.228E-06 | global batch size:   256 | lm loss: 3.328057E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 894.661 | TFLOPs: 22.79 |
7:  iteration    35220/   37905 | consumed samples:      9016320 | consumed tokens:  18465423360 | elapsed time per iteration (s): 0.24 | learning rate: 2.226E-06 | global batch size:   256 | lm loss: 3.330791E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1074.526 | TFLOPs: 27.37 |
7:  iteration    35230/   37905 | consumed samples:      9018880 | consumed tokens:  18470666240 | elapsed time per iteration (s): 0.26 | learning rate: 2.225E-06 | global batch size:   256 | lm loss: 3.334049E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.681 | TFLOPs: 25.52 |
7:  iteration    35240/   37905 | consumed samples:      9021440 | consumed tokens:  18475909120 | elapsed time per iteration (s): 0.24 | learning rate: 2.223E-06 | global batch size:   256 | lm loss: 3.318096E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.422 | TFLOPs: 27.27 |
7:  iteration    35250/   37905 | consumed samples:      9024000 | consumed tokens:  18481152000 | elapsed time per iteration (s): 0.27 | learning rate: 2.221E-06 | global batch size:   256 | lm loss: 3.331214E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 943.455 | TFLOPs: 24.03 |
7:  iteration    35260/   37905 | consumed samples:      9026560 | consumed tokens:  18486394880 | elapsed time per iteration (s): 0.25 | learning rate: 2.220E-06 | global batch size:   256 | lm loss: 3.299552E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.535 | TFLOPs: 26.43 |
7:  iteration    35270/   37905 | consumed samples:      9029120 | consumed tokens:  18491637760 | elapsed time per iteration (s): 0.29 | learning rate: 2.218E-06 | global batch size:   256 | lm loss: 3.314090E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 875.191 | TFLOPs: 22.30 |
7:  iteration    35280/   37905 | consumed samples:      9031680 | consumed tokens:  18496880640 | elapsed time per iteration (s): 0.25 | learning rate: 2.216E-06 | global batch size:   256 | lm loss: 3.355268E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.386 | TFLOPs: 26.25 |
7:  iteration    35290/   37905 | consumed samples:      9034240 | consumed tokens:  18502123520 | elapsed time per iteration (s): 0.27 | learning rate: 2.215E-06 | global batch size:   256 | lm loss: 3.302539E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 961.556 | TFLOPs: 24.50 |
7:  iteration    35300/   37905 | consumed samples:      9036800 | consumed tokens:  18507366400 | elapsed time per iteration (s): 0.24 | learning rate: 2.213E-06 | global batch size:   256 | lm loss: 3.342867E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1058.591 | TFLOPs: 26.97 |
7:  iteration    35310/   37905 | consumed samples:      9039360 | consumed tokens:  18512609280 | elapsed time per iteration (s): 0.25 | learning rate: 2.212E-06 | global batch size:   256 | lm loss: 3.315278E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.554 | TFLOPs: 26.43 |
7:  iteration    35320/   37905 | consumed samples:      9041920 | consumed tokens:  18517852160 | elapsed time per iteration (s): 0.25 | learning rate: 2.210E-06 | global batch size:   256 | lm loss: 3.353345E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.684 | TFLOPs: 26.08 |
7:  iteration    35330/   37905 | consumed samples:      9044480 | consumed tokens:  18523095040 | elapsed time per iteration (s): 0.29 | learning rate: 2.208E-06 | global batch size:   256 | lm loss: 3.293374E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.346 | TFLOPs: 22.86 |
7:  iteration    35340/   37905 | consumed samples:      9047040 | consumed tokens:  18528337920 | elapsed time per iteration (s): 0.24 | learning rate: 2.207E-06 | global batch size:   256 | lm loss: 3.346324E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1070.932 | TFLOPs: 27.28 |
7:  iteration    35350/   37905 | consumed samples:      9049600 | consumed tokens:  18533580800 | elapsed time per iteration (s): 0.27 | learning rate: 2.205E-06 | global batch size:   256 | lm loss: 3.328946E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.207 | TFLOPs: 24.46 |
7:  iteration    35360/   37905 | consumed samples:      9052160 | consumed tokens:  18538823680 | elapsed time per iteration (s): 0.25 | learning rate: 2.204E-06 | global batch size:   256 | lm loss: 3.311810E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1007.705 | TFLOPs: 25.67 |
7:  iteration    35370/   37905 | consumed samples:      9054720 | consumed tokens:  18544066560 | elapsed time per iteration (s): 0.24 | learning rate: 2.202E-06 | global batch size:   256 | lm loss: 3.320828E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1081.109 | TFLOPs: 27.54 |
7:  iteration    35380/   37905 | consumed samples:      9057280 | consumed tokens:  18549309440 | elapsed time per iteration (s): 0.30 | learning rate: 2.200E-06 | global batch size:   256 | lm loss: 3.334035E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 847.468 | TFLOPs: 21.59 |
7:  iteration    35390/   37905 | consumed samples:      9059840 | consumed tokens:  18554552320 | elapsed time per iteration (s): 0.26 | learning rate: 2.199E-06 | global batch size:   256 | lm loss: 3.355218E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 987.182 | TFLOPs: 25.15 |
7:  iteration    35400/   37905 | consumed samples:      9062400 | consumed tokens:  18559795200 | elapsed time per iteration (s): 0.26 | learning rate: 2.197E-06 | global batch size:   256 | lm loss: 3.362494E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.668 | TFLOPs: 25.31 |
7:  iteration    35410/   37905 | consumed samples:      9064960 | consumed tokens:  18565038080 | elapsed time per iteration (s): 0.27 | learning rate: 2.196E-06 | global batch size:   256 | lm loss: 3.297969E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.160 | TFLOPs: 24.56 |
7:  iteration    35420/   37905 | consumed samples:      9067520 | consumed tokens:  18570280960 | elapsed time per iteration (s): 0.28 | learning rate: 2.194E-06 | global batch size:   256 | lm loss: 3.343641E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 926.810 | TFLOPs: 23.61 |
7:  iteration    35430/   37905 | consumed samples:      9070080 | consumed tokens:  18575523840 | elapsed time per iteration (s): 0.27 | learning rate: 2.193E-06 | global batch size:   256 | lm loss: 3.320113E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 946.976 | TFLOPs: 24.12 |
7:  iteration    35440/   37905 | consumed samples:      9072640 | consumed tokens:  18580766720 | elapsed time per iteration (s): 0.26 | learning rate: 2.191E-06 | global batch size:   256 | lm loss: 3.288284E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.706 | TFLOPs: 24.88 |
7:  iteration    35450/   37905 | consumed samples:      9075200 | consumed tokens:  18586009600 | elapsed time per iteration (s): 0.26 | learning rate: 2.189E-06 | global batch size:   256 | lm loss: 3.294235E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.861 | TFLOPs: 24.81 |
7:  iteration    35460/   37905 | consumed samples:      9077760 | consumed tokens:  18591252480 | elapsed time per iteration (s): 0.27 | learning rate: 2.188E-06 | global batch size:   256 | lm loss: 3.302477E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.613 | TFLOPs: 24.24 |
7:  iteration    35470/   37905 | consumed samples:      9080320 | consumed tokens:  18596495360 | elapsed time per iteration (s): 0.26 | learning rate: 2.186E-06 | global batch size:   256 | lm loss: 3.324399E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1002.158 | TFLOPs: 25.53 |
7:  iteration    35480/   37905 | consumed samples:      9082880 | consumed tokens:  18601738240 | elapsed time per iteration (s): 0.26 | learning rate: 2.185E-06 | global batch size:   256 | lm loss: 3.349152E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.792 | TFLOPs: 25.37 |
7:  iteration    35490/   37905 | consumed samples:      9085440 | consumed tokens:  18606981120 | elapsed time per iteration (s): 0.23 | learning rate: 2.183E-06 | global batch size:   256 | lm loss: 3.368029E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1097.557 | TFLOPs: 27.96 |
7:  iteration    35500/   37905 | consumed samples:      9088000 | consumed tokens:  18612224000 | elapsed time per iteration (s): 0.25 | learning rate: 2.182E-06 | global batch size:   256 | lm loss: 3.326350E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1028.150 | TFLOPs: 26.19 |
7:  iteration    35510/   37905 | consumed samples:      9090560 | consumed tokens:  18617466880 | elapsed time per iteration (s): 0.26 | learning rate: 2.180E-06 | global batch size:   256 | lm loss: 3.328041E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.737 | TFLOPs: 25.11 |
7:  iteration    35520/   37905 | consumed samples:      9093120 | consumed tokens:  18622709760 | elapsed time per iteration (s): 0.27 | learning rate: 2.179E-06 | global batch size:   256 | lm loss: 3.330003E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.866 | TFLOPs: 24.27 |
7:  iteration    35530/   37905 | consumed samples:      9095680 | consumed tokens:  18627952640 | elapsed time per iteration (s): 0.27 | learning rate: 2.177E-06 | global batch size:   256 | lm loss: 3.326811E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 952.373 | TFLOPs: 24.26 |
7:  iteration    35540/   37905 | consumed samples:      9098240 | consumed tokens:  18633195520 | elapsed time per iteration (s): 0.25 | learning rate: 2.176E-06 | global batch size:   256 | lm loss: 3.318934E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.515 | TFLOPs: 26.28 |
7:  iteration    35550/   37905 | consumed samples:      9100800 | consumed tokens:  18638438400 | elapsed time per iteration (s): 0.27 | learning rate: 2.174E-06 | global batch size:   256 | lm loss: 3.355712E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 958.393 | TFLOPs: 24.42 |
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7:  iteration    35680/   37905 | consumed samples:      9134080 | consumed tokens:  18706595840 | elapsed time per iteration (s): 0.26 | learning rate: 2.156E-06 | global batch size:   256 | lm loss: 3.342432E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 975.491 | TFLOPs: 24.85 |
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7:  iteration    35710/   37905 | consumed samples:      9141760 | consumed tokens:  18722324480 | elapsed time per iteration (s): 0.24 | learning rate: 2.152E-06 | global batch size:   256 | lm loss: 3.351087E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1071.953 | TFLOPs: 27.31 |
7:  iteration    35720/   37905 | consumed samples:      9144320 | consumed tokens:  18727567360 | elapsed time per iteration (s): 0.26 | learning rate: 2.150E-06 | global batch size:   256 | lm loss: 3.283883E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 985.569 | TFLOPs: 25.11 |
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7:  iteration    35760/   37905 | consumed samples:      9154560 | consumed tokens:  18748538880 | elapsed time per iteration (s): 0.27 | learning rate: 2.145E-06 | global batch size:   256 | lm loss: 3.304966E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 951.312 | TFLOPs: 24.23 |
7:  iteration    35770/   37905 | consumed samples:      9157120 | consumed tokens:  18753781760 | elapsed time per iteration (s): 0.26 | learning rate: 2.143E-06 | global batch size:   256 | lm loss: 3.312483E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.615 | TFLOPs: 25.52 |
7:  iteration    35780/   37905 | consumed samples:      9159680 | consumed tokens:  18759024640 | elapsed time per iteration (s): 0.25 | learning rate: 2.142E-06 | global batch size:   256 | lm loss: 3.315171E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.224 | TFLOPs: 26.04 |
7:  iteration    35790/   37905 | consumed samples:      9162240 | consumed tokens:  18764267520 | elapsed time per iteration (s): 0.26 | learning rate: 2.141E-06 | global batch size:   256 | lm loss: 3.302571E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 971.580 | TFLOPs: 24.75 |
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7:  iteration    35900/   37905 | consumed samples:      9190400 | consumed tokens:  18821939200 | elapsed time per iteration (s): 0.25 | learning rate: 2.127E-06 | global batch size:   256 | lm loss: 3.336816E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.912 | TFLOPs: 26.26 |
7:  iteration    35910/   37905 | consumed samples:      9192960 | consumed tokens:  18827182080 | elapsed time per iteration (s): 0.25 | learning rate: 2.125E-06 | global batch size:   256 | lm loss: 3.317279E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.119 | TFLOPs: 26.06 |
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7:  iteration    35930/   37905 | consumed samples:      9198080 | consumed tokens:  18837667840 | elapsed time per iteration (s): 0.25 | learning rate: 2.123E-06 | global batch size:   256 | lm loss: 3.299564E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1030.917 | TFLOPs: 26.26 |
7:  iteration    35940/   37905 | consumed samples:      9200640 | consumed tokens:  18842910720 | elapsed time per iteration (s): 0.29 | learning rate: 2.122E-06 | global batch size:   256 | lm loss: 3.314177E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 895.809 | TFLOPs: 22.82 |
7:  iteration    35950/   37905 | consumed samples:      9203200 | consumed tokens:  18848153600 | elapsed time per iteration (s): 0.25 | learning rate: 2.120E-06 | global batch size:   256 | lm loss: 3.342994E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.469 | TFLOPs: 26.43 |
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7:  iteration    35970/   37905 | consumed samples:      9208320 | consumed tokens:  18858639360 | elapsed time per iteration (s): 0.23 | learning rate: 2.118E-06 | global batch size:   256 | lm loss: 3.332295E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1119.063 | TFLOPs: 28.51 |
7:  iteration    35980/   37905 | consumed samples:      9210880 | consumed tokens:  18863882240 | elapsed time per iteration (s): 0.28 | learning rate: 2.117E-06 | global batch size:   256 | lm loss: 3.304592E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 900.509 | TFLOPs: 22.94 |
7:  iteration    35990/   37905 | consumed samples:      9213440 | consumed tokens:  18869125120 | elapsed time per iteration (s): 0.23 | learning rate: 2.115E-06 | global batch size:   256 | lm loss: 3.309625E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1106.791 | TFLOPs: 28.20 |
0: [2022-11-28 17:48:46,236] [INFO] [logging.py:68:log_dist] [Rank 0] step=36000, skipped=0, lr=[2.114223001080071e-06, 2.114223001080071e-06, 2.114223001080071e-06], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)]
7:  iteration    36000/   37905 | consumed samples:      9216000 | consumed tokens:  18874368000 | elapsed time per iteration (s): 0.26 | learning rate: 2.114E-06 | global batch size:   256 | lm loss: 3.334971E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.394 | TFLOPs: 25.36 |
0: steps: 36000 loss: 3.3573 iter time (s): 0.260 samples/sec: 984.974
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 36000 | lm loss value: 3.218729E+00 | lm loss PPL: 2.499634E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   36000 to checkpoints_83slr
0: [2022-11-28 17:48:46,325] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step36000 is begin to save!
0: [2022-11-28 17:48:46,328] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/layer_01-model_00-model_states.pt...
0: [2022-11-28 17:48:46,399] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/layer_01-model_00-model_states.pt.
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0: [2022-11-28 17:48:46,410] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/layer_04-model_00-model_states.pt...
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0: [2022-11-28 17:48:46,455] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/layer_08-model_00-model_states.pt...
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0: [2022-11-28 17:48:46,489] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/layer_11-model_00-model_states.pt...
0: [2022-11-28 17:48:46,500] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/layer_11-model_00-model_states.pt.
0: [2022-11-28 17:48:46,500] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/layer_12-model_00-model_states.pt...
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0: [2022-11-28 17:48:46,511] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/layer_14-model_00-model_states.pt...
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0: [2022-11-28 17:48:46,513] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step36000/mp_rank_00_model_states.pt
0: [2022-11-28 17:48:46,513] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/mp_rank_00_model_states.pt...
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0: [2022-11-28 17:48:46,533] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt...
0: [2022-11-28 17:48:46,533] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step36000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt...
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1: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
4: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:48:46,560] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt
2: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:48:46,560] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
4: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
2: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
1: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:48:46,560] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt
7: [2022-11-28 17:48:46,560] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt
1: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
7: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
0: [2022-11-28 17:48:46,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:48:46,561] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
0: [2022-11-28 17:48:46,561] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
6: [2022-11-28 17:48:46,561] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:48:46,561] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt
6: [2022-11-28 17:48:46,561] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
3: [2022-11-28 17:48:46,561] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:48:46,561] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
3: [2022-11-28 17:48:46,561] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
2: [2022-11-28 17:48:46,561] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:48:46,561] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt
2: [2022-11-28 17:48:46,561] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
3: [2022-11-28 17:48:46,562] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:48:46,562] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt
3: [2022-11-28 17:48:46,562] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
5: [2022-11-28 17:48:46,562] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:48:46,562] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step36000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt
5: [2022-11-28 17:48:46,562] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now!
0:   successfully saved checkpoint at iteration   36000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 240.78
7:  iteration    36010/   37905 | consumed samples:      9218560 | consumed tokens:  18879610880 | elapsed time per iteration (s): 0.28 | learning rate: 2.113E-06 | global batch size:   256 | lm loss: 3.309183E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.995 | TFLOPs: 23.64 |
7:  iteration    36020/   37905 | consumed samples:      9221120 | consumed tokens:  18884853760 | elapsed time per iteration (s): 0.26 | learning rate: 2.112E-06 | global batch size:   256 | lm loss: 3.322666E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.209 | TFLOPs: 25.43 |
7:  iteration    36030/   37905 | consumed samples:      9223680 | consumed tokens:  18890096640 | elapsed time per iteration (s): 0.25 | learning rate: 2.111E-06 | global batch size:   256 | lm loss: 3.300287E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1037.580 | TFLOPs: 26.43 |
7:  iteration    36040/   37905 | consumed samples:      9226240 | consumed tokens:  18895339520 | elapsed time per iteration (s): 0.26 | learning rate: 2.109E-06 | global batch size:   256 | lm loss: 3.317160E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.235 | TFLOPs: 24.90 |
7:  iteration    36050/   37905 | consumed samples:      9228800 | consumed tokens:  18900582400 | elapsed time per iteration (s): 0.26 | learning rate: 2.108E-06 | global batch size:   256 | lm loss: 3.343195E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.330 | TFLOPs: 24.92 |
7:  iteration    36060/   37905 | consumed samples:      9231360 | consumed tokens:  18905825280 | elapsed time per iteration (s): 0.26 | learning rate: 2.107E-06 | global batch size:   256 | lm loss: 3.353755E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.049 | TFLOPs: 25.22 |
7:  iteration    36070/   37905 | consumed samples:      9233920 | consumed tokens:  18911068160 | elapsed time per iteration (s): 0.26 | learning rate: 2.106E-06 | global batch size:   256 | lm loss: 3.336113E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 990.538 | TFLOPs: 25.23 |
7:  iteration    36080/   37905 | consumed samples:      9236480 | consumed tokens:  18916311040 | elapsed time per iteration (s): 0.24 | learning rate: 2.105E-06 | global batch size:   256 | lm loss: 3.309365E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.138 | TFLOPs: 27.03 |
7:  iteration    36090/   37905 | consumed samples:      9239040 | consumed tokens:  18921553920 | elapsed time per iteration (s): 0.26 | learning rate: 2.104E-06 | global batch size:   256 | lm loss: 3.304685E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 967.632 | TFLOPs: 24.65 |
7:  iteration    36100/   37905 | consumed samples:      9241600 | consumed tokens:  18926796800 | elapsed time per iteration (s): 0.25 | learning rate: 2.103E-06 | global batch size:   256 | lm loss: 3.366990E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.705 | TFLOPs: 25.77 |
7:  iteration    36110/   37905 | consumed samples:      9244160 | consumed tokens:  18932039680 | elapsed time per iteration (s): 0.25 | learning rate: 2.101E-06 | global batch size:   256 | lm loss: 3.344413E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.032 | TFLOPs: 26.06 |
7:  iteration    36120/   37905 | consumed samples:      9246720 | consumed tokens:  18937282560 | elapsed time per iteration (s): 0.28 | learning rate: 2.100E-06 | global batch size:   256 | lm loss: 3.322454E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 925.442 | TFLOPs: 23.58 |
7:  iteration    36130/   37905 | consumed samples:      9249280 | consumed tokens:  18942525440 | elapsed time per iteration (s): 0.24 | learning rate: 2.099E-06 | global batch size:   256 | lm loss: 3.299613E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1065.123 | TFLOPs: 27.13 |
7:  iteration    36140/   37905 | consumed samples:      9251840 | consumed tokens:  18947768320 | elapsed time per iteration (s): 0.31 | learning rate: 2.098E-06 | global batch size:   256 | lm loss: 3.306121E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 830.201 | TFLOPs: 21.15 |
7:  iteration    36150/   37905 | consumed samples:      9254400 | consumed tokens:  18953011200 | elapsed time per iteration (s): 0.27 | learning rate: 2.097E-06 | global batch size:   256 | lm loss: 3.362955E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.135 | TFLOPs: 23.72 |
7:  iteration    36160/   37905 | consumed samples:      9256960 | consumed tokens:  18958254080 | elapsed time per iteration (s): 0.26 | learning rate: 2.096E-06 | global batch size:   256 | lm loss: 3.368263E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.809 | TFLOPs: 25.42 |
7:  iteration    36170/   37905 | consumed samples:      9259520 | consumed tokens:  18963496960 | elapsed time per iteration (s): 0.24 | learning rate: 2.095E-06 | global batch size:   256 | lm loss: 3.344789E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1077.768 | TFLOPs: 27.46 |
7:  iteration    36180/   37905 | consumed samples:      9262080 | consumed tokens:  18968739840 | elapsed time per iteration (s): 0.26 | learning rate: 2.094E-06 | global batch size:   256 | lm loss: 3.330403E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.723 | TFLOPs: 24.81 |
7:  iteration    36190/   37905 | consumed samples:      9264640 | consumed tokens:  18973982720 | elapsed time per iteration (s): 0.24 | learning rate: 2.093E-06 | global batch size:   256 | lm loss: 3.320238E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1061.394 | TFLOPs: 27.04 |
7:  iteration    36200/   37905 | consumed samples:      9267200 | consumed tokens:  18979225600 | elapsed time per iteration (s): 0.25 | learning rate: 2.092E-06 | global batch size:   256 | lm loss: 3.355867E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1023.006 | TFLOPs: 26.06 |
7:  iteration    36210/   37905 | consumed samples:      9269760 | consumed tokens:  18984468480 | elapsed time per iteration (s): 0.25 | learning rate: 2.090E-06 | global batch size:   256 | lm loss: 3.316519E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1026.252 | TFLOPs: 26.14 |
7:  iteration    36220/   37905 | consumed samples:      9272320 | consumed tokens:  18989711360 | elapsed time per iteration (s): 0.26 | learning rate: 2.089E-06 | global batch size:   256 | lm loss: 3.352821E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 977.662 | TFLOPs: 24.91 |
7:  iteration    36230/   37905 | consumed samples:      9274880 | consumed tokens:  18994954240 | elapsed time per iteration (s): 0.28 | learning rate: 2.088E-06 | global batch size:   256 | lm loss: 3.344101E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 930.087 | TFLOPs: 23.69 |
7:  iteration    36240/   37905 | consumed samples:      9277440 | consumed tokens:  19000197120 | elapsed time per iteration (s): 0.27 | learning rate: 2.087E-06 | global batch size:   256 | lm loss: 3.341857E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.912 | TFLOPs: 24.15 |
7:  iteration    36250/   37905 | consumed samples:      9280000 | consumed tokens:  19005440000 | elapsed time per iteration (s): 0.26 | learning rate: 2.086E-06 | global batch size:   256 | lm loss: 3.308613E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.039 | TFLOPs: 24.79 |
7:  iteration    36260/   37905 | consumed samples:      9282560 | consumed tokens:  19010682880 | elapsed time per iteration (s): 0.23 | learning rate: 2.085E-06 | global batch size:   256 | lm loss: 3.296116E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1112.851 | TFLOPs: 28.35 |
7:  iteration    36270/   37905 | consumed samples:      9285120 | consumed tokens:  19015925760 | elapsed time per iteration (s): 0.26 | learning rate: 2.084E-06 | global batch size:   256 | lm loss: 3.343971E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.687 | TFLOPs: 24.73 |
7:  iteration    36280/   37905 | consumed samples:      9287680 | consumed tokens:  19021168640 | elapsed time per iteration (s): 0.24 | learning rate: 2.083E-06 | global batch size:   256 | lm loss: 3.314294E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1068.131 | TFLOPs: 27.21 |
7:  iteration    36290/   37905 | consumed samples:      9290240 | consumed tokens:  19026411520 | elapsed time per iteration (s): 0.27 | learning rate: 2.082E-06 | global batch size:   256 | lm loss: 3.342943E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 964.255 | TFLOPs: 24.56 |
7:  iteration    36300/   37905 | consumed samples:      9292800 | consumed tokens:  19031654400 | elapsed time per iteration (s): 0.28 | learning rate: 2.081E-06 | global batch size:   256 | lm loss: 3.351710E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.007 | TFLOPs: 23.64 |
7:  iteration    36310/   37905 | consumed samples:      9295360 | consumed tokens:  19036897280 | elapsed time per iteration (s): 0.26 | learning rate: 2.080E-06 | global batch size:   256 | lm loss: 3.345646E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.469 | TFLOPs: 25.44 |
7:  iteration    36320/   37905 | consumed samples:      9297920 | consumed tokens:  19042140160 | elapsed time per iteration (s): 0.24 | learning rate: 2.079E-06 | global batch size:   256 | lm loss: 3.313442E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1059.794 | TFLOPs: 27.00 |
7:  iteration    36330/   37905 | consumed samples:      9300480 | consumed tokens:  19047383040 | elapsed time per iteration (s): 0.26 | learning rate: 2.078E-06 | global batch size:   256 | lm loss: 3.288173E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.877 | TFLOPs: 24.68 |
7:  iteration    36340/   37905 | consumed samples:      9303040 | consumed tokens:  19052625920 | elapsed time per iteration (s): 0.28 | learning rate: 2.077E-06 | global batch size:   256 | lm loss: 3.330568E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.489 | TFLOPs: 23.19 |
7:  iteration    36350/   37905 | consumed samples:      9305600 | consumed tokens:  19057868800 | elapsed time per iteration (s): 0.25 | learning rate: 2.076E-06 | global batch size:   256 | lm loss: 3.294338E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.294 | TFLOPs: 26.32 |
7:  iteration    36360/   37905 | consumed samples:      9308160 | consumed tokens:  19063111680 | elapsed time per iteration (s): 0.25 | learning rate: 2.075E-06 | global batch size:   256 | lm loss: 3.339995E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1031.567 | TFLOPs: 26.28 |
7:  iteration    36370/   37905 | consumed samples:      9310720 | consumed tokens:  19068354560 | elapsed time per iteration (s): 0.25 | learning rate: 2.074E-06 | global batch size:   256 | lm loss: 3.324632E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1004.359 | TFLOPs: 25.59 |
7:  iteration    36380/   37905 | consumed samples:      9313280 | consumed tokens:  19073597440 | elapsed time per iteration (s): 0.25 | learning rate: 2.073E-06 | global batch size:   256 | lm loss: 3.350660E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1022.997 | TFLOPs: 26.06 |
7:  iteration    36390/   37905 | consumed samples:      9315840 | consumed tokens:  19078840320 | elapsed time per iteration (s): 0.26 | learning rate: 2.072E-06 | global batch size:   256 | lm loss: 3.315549E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 980.934 | TFLOPs: 24.99 |
7:  iteration    36400/   37905 | consumed samples:      9318400 | consumed tokens:  19084083200 | elapsed time per iteration (s): 0.27 | learning rate: 2.071E-06 | global batch size:   256 | lm loss: 3.351818E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 949.618 | TFLOPs: 24.19 |
7:  iteration    36410/   37905 | consumed samples:      9320960 | consumed tokens:  19089326080 | elapsed time per iteration (s): 0.25 | learning rate: 2.070E-06 | global batch size:   256 | lm loss: 3.304583E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.789 | TFLOPs: 26.39 |
7:  iteration    36420/   37905 | consumed samples:      9323520 | consumed tokens:  19094568960 | elapsed time per iteration (s): 0.26 | learning rate: 2.069E-06 | global batch size:   256 | lm loss: 3.310175E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 984.627 | TFLOPs: 25.08 |
7:  iteration    36430/   37905 | consumed samples:      9326080 | consumed tokens:  19099811840 | elapsed time per iteration (s): 0.24 | learning rate: 2.069E-06 | global batch size:   256 | lm loss: 3.324018E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1052.140 | TFLOPs: 26.80 |
7:  iteration    36440/   37905 | consumed samples:      9328640 | consumed tokens:  19105054720 | elapsed time per iteration (s): 0.28 | learning rate: 2.068E-06 | global batch size:   256 | lm loss: 3.303279E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 909.499 | TFLOPs: 23.17 |
7:  iteration    36450/   37905 | consumed samples:      9331200 | consumed tokens:  19110297600 | elapsed time per iteration (s): 0.25 | learning rate: 2.067E-06 | global batch size:   256 | lm loss: 3.345506E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.431 | TFLOPs: 26.38 |
7:  iteration    36460/   37905 | consumed samples:      9333760 | consumed tokens:  19115540480 | elapsed time per iteration (s): 0.27 | learning rate: 2.066E-06 | global batch size:   256 | lm loss: 3.320331E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.616 | TFLOPs: 23.76 |
7:  iteration    36470/   37905 | consumed samples:      9336320 | consumed tokens:  19120783360 | elapsed time per iteration (s): 0.25 | learning rate: 2.065E-06 | global batch size:   256 | lm loss: 3.306853E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1035.974 | TFLOPs: 26.39 |
7:  iteration    36480/   37905 | consumed samples:      9338880 | consumed tokens:  19126026240 | elapsed time per iteration (s): 0.26 | learning rate: 2.064E-06 | global batch size:   256 | lm loss: 3.335629E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 983.582 | TFLOPs: 25.06 |
7:  iteration    36490/   37905 | consumed samples:      9341440 | consumed tokens:  19131269120 | elapsed time per iteration (s): 0.25 | learning rate: 2.063E-06 | global batch size:   256 | lm loss: 3.343805E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1011.424 | TFLOPs: 25.77 |
7:  iteration    36500/   37905 | consumed samples:      9344000 | consumed tokens:  19136512000 | elapsed time per iteration (s): 0.25 | learning rate: 2.062E-06 | global batch size:   256 | lm loss: 3.292691E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.924 | TFLOPs: 25.93 |
7:  iteration    36510/   37905 | consumed samples:      9346560 | consumed tokens:  19141754880 | elapsed time per iteration (s): 0.24 | learning rate: 2.061E-06 | global batch size:   256 | lm loss: 3.338026E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1046.499 | TFLOPs: 26.66 |
7:  iteration    36520/   37905 | consumed samples:      9349120 | consumed tokens:  19146997760 | elapsed time per iteration (s): 0.24 | learning rate: 2.060E-06 | global batch size:   256 | lm loss: 3.293198E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1051.330 | TFLOPs: 26.78 |
7:  iteration    36530/   37905 | consumed samples:      9351680 | consumed tokens:  19152240640 | elapsed time per iteration (s): 0.23 | learning rate: 2.060E-06 | global batch size:   256 | lm loss: 3.324685E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1098.151 | TFLOPs: 27.98 |
7:  iteration    36540/   37905 | consumed samples:      9354240 | consumed tokens:  19157483520 | elapsed time per iteration (s): 0.31 | learning rate: 2.059E-06 | global batch size:   256 | lm loss: 3.329177E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 816.115 | TFLOPs: 20.79 |
7:  iteration    36550/   37905 | consumed samples:      9356800 | consumed tokens:  19162726400 | elapsed time per iteration (s): 0.28 | learning rate: 2.058E-06 | global batch size:   256 | lm loss: 3.331124E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.723 | TFLOPs: 23.48 |
7:  iteration    36560/   37905 | consumed samples:      9359360 | consumed tokens:  19167969280 | elapsed time per iteration (s): 0.28 | learning rate: 2.057E-06 | global batch size:   256 | lm loss: 3.339461E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.297 | TFLOPs: 23.19 |
7:  iteration    36570/   37905 | consumed samples:      9361920 | consumed tokens:  19173212160 | elapsed time per iteration (s): 0.26 | learning rate: 2.056E-06 | global batch size:   256 | lm loss: 3.307857E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.560 | TFLOPs: 24.88 |
7:  iteration    36580/   37905 | consumed samples:      9364480 | consumed tokens:  19178455040 | elapsed time per iteration (s): 0.25 | learning rate: 2.055E-06 | global batch size:   256 | lm loss: 3.293980E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.918 | TFLOPs: 25.65 |
7:  iteration    36590/   37905 | consumed samples:      9367040 | consumed tokens:  19183697920 | elapsed time per iteration (s): 0.25 | learning rate: 2.054E-06 | global batch size:   256 | lm loss: 3.317713E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.347 | TFLOPs: 25.64 |
7:  iteration    36600/   37905 | consumed samples:      9369600 | consumed tokens:  19188940800 | elapsed time per iteration (s): 0.25 | learning rate: 2.054E-06 | global batch size:   256 | lm loss: 3.274208E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.681 | TFLOPs: 26.56 |
7:  iteration    36610/   37905 | consumed samples:      9372160 | consumed tokens:  19194183680 | elapsed time per iteration (s): 0.26 | learning rate: 2.053E-06 | global batch size:   256 | lm loss: 3.356978E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.494 | TFLOPs: 24.70 |
7:  iteration    36620/   37905 | consumed samples:      9374720 | consumed tokens:  19199426560 | elapsed time per iteration (s): 0.27 | learning rate: 2.052E-06 | global batch size:   256 | lm loss: 3.327040E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.800 | TFLOPs: 24.30 |
7:  iteration    36630/   37905 | consumed samples:      9377280 | consumed tokens:  19204669440 | elapsed time per iteration (s): 0.25 | learning rate: 2.051E-06 | global batch size:   256 | lm loss: 3.271901E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1033.868 | TFLOPs: 26.34 |
7:  iteration    36640/   37905 | consumed samples:      9379840 | consumed tokens:  19209912320 | elapsed time per iteration (s): 0.23 | learning rate: 2.050E-06 | global batch size:   256 | lm loss: 3.313330E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1123.789 | TFLOPs: 28.63 |
7:  iteration    36650/   37905 | consumed samples:      9382400 | consumed tokens:  19215155200 | elapsed time per iteration (s): 0.28 | learning rate: 2.050E-06 | global batch size:   256 | lm loss: 3.307605E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 906.366 | TFLOPs: 23.09 |
7:  iteration    36660/   37905 | consumed samples:      9384960 | consumed tokens:  19220398080 | elapsed time per iteration (s): 0.26 | learning rate: 2.049E-06 | global batch size:   256 | lm loss: 3.328554E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.692 | TFLOPs: 25.37 |
7:  iteration    36670/   37905 | consumed samples:      9387520 | consumed tokens:  19225640960 | elapsed time per iteration (s): 0.30 | learning rate: 2.048E-06 | global batch size:   256 | lm loss: 3.340817E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.110 | TFLOPs: 21.50 |
7:  iteration    36680/   37905 | consumed samples:      9390080 | consumed tokens:  19230883840 | elapsed time per iteration (s): 0.27 | learning rate: 2.047E-06 | global batch size:   256 | lm loss: 3.323769E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 957.867 | TFLOPs: 24.40 |
7:  iteration    36690/   37905 | consumed samples:      9392640 | consumed tokens:  19236126720 | elapsed time per iteration (s): 0.28 | learning rate: 2.047E-06 | global batch size:   256 | lm loss: 3.321745E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.411 | TFLOPs: 23.35 |
7:  iteration    36700/   37905 | consumed samples:      9395200 | consumed tokens:  19241369600 | elapsed time per iteration (s): 0.28 | learning rate: 2.046E-06 | global batch size:   256 | lm loss: 3.320378E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 904.989 | TFLOPs: 23.05 |
7:  iteration    36710/   37905 | consumed samples:      9397760 | consumed tokens:  19246612480 | elapsed time per iteration (s): 0.26 | learning rate: 2.045E-06 | global batch size:   256 | lm loss: 3.308198E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 995.962 | TFLOPs: 25.37 |
7:  iteration    36720/   37905 | consumed samples:      9400320 | consumed tokens:  19251855360 | elapsed time per iteration (s): 0.28 | learning rate: 2.044E-06 | global batch size:   256 | lm loss: 3.304012E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 920.467 | TFLOPs: 23.45 |
7:  iteration    36730/   37905 | consumed samples:      9402880 | consumed tokens:  19257098240 | elapsed time per iteration (s): 0.26 | learning rate: 2.044E-06 | global batch size:   256 | lm loss: 3.325914E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 978.196 | TFLOPs: 24.92 |
7:  iteration    36740/   37905 | consumed samples:      9405440 | consumed tokens:  19262341120 | elapsed time per iteration (s): 0.29 | learning rate: 2.043E-06 | global batch size:   256 | lm loss: 3.335973E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 871.382 | TFLOPs: 22.20 |
7:  iteration    36750/   37905 | consumed samples:      9408000 | consumed tokens:  19267584000 | elapsed time per iteration (s): 0.32 | learning rate: 2.042E-06 | global batch size:   256 | lm loss: 3.313619E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 790.278 | TFLOPs: 20.13 |
7:  iteration    36760/   37905 | consumed samples:      9410560 | consumed tokens:  19272826880 | elapsed time per iteration (s): 0.27 | learning rate: 2.041E-06 | global batch size:   256 | lm loss: 3.332189E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 955.030 | TFLOPs: 24.33 |
7:  iteration    36770/   37905 | consumed samples:      9413120 | consumed tokens:  19278069760 | elapsed time per iteration (s): 0.26 | learning rate: 2.041E-06 | global batch size:   256 | lm loss: 3.310914E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 982.694 | TFLOPs: 25.03 |
7:  iteration    36780/   37905 | consumed samples:      9415680 | consumed tokens:  19283312640 | elapsed time per iteration (s): 0.29 | learning rate: 2.040E-06 | global batch size:   256 | lm loss: 3.354577E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.852 | TFLOPs: 22.24 |
7:  iteration    36790/   37905 | consumed samples:      9418240 | consumed tokens:  19288555520 | elapsed time per iteration (s): 0.24 | learning rate: 2.039E-06 | global batch size:   256 | lm loss: 3.343527E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1064.611 | TFLOPs: 27.12 |
7:  iteration    36800/   37905 | consumed samples:      9420800 | consumed tokens:  19293798400 | elapsed time per iteration (s): 0.29 | learning rate: 2.038E-06 | global batch size:   256 | lm loss: 3.306623E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.013 | TFLOPs: 22.65 |
7:  iteration    36810/   37905 | consumed samples:      9423360 | consumed tokens:  19299041280 | elapsed time per iteration (s): 0.27 | learning rate: 2.038E-06 | global batch size:   256 | lm loss: 3.335303E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 938.773 | TFLOPs: 23.92 |
7:  iteration    36820/   37905 | consumed samples:      9425920 | consumed tokens:  19304284160 | elapsed time per iteration (s): 0.29 | learning rate: 2.037E-06 | global batch size:   256 | lm loss: 3.338385E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 885.874 | TFLOPs: 22.57 |
7:  iteration    36830/   37905 | consumed samples:      9428480 | consumed tokens:  19309527040 | elapsed time per iteration (s): 0.28 | learning rate: 2.036E-06 | global batch size:   256 | lm loss: 3.332263E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.368 | TFLOPs: 23.62 |
7:  iteration    36840/   37905 | consumed samples:      9431040 | consumed tokens:  19314769920 | elapsed time per iteration (s): 0.30 | learning rate: 2.036E-06 | global batch size:   256 | lm loss: 3.307866E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 856.291 | TFLOPs: 21.81 |
7:  iteration    36850/   37905 | consumed samples:      9433600 | consumed tokens:  19320012800 | elapsed time per iteration (s): 0.27 | learning rate: 2.035E-06 | global batch size:   256 | lm loss: 3.345736E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 942.888 | TFLOPs: 24.02 |
7:  iteration    36860/   37905 | consumed samples:      9436160 | consumed tokens:  19325255680 | elapsed time per iteration (s): 0.29 | learning rate: 2.034E-06 | global batch size:   256 | lm loss: 3.331081E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 878.458 | TFLOPs: 22.38 |
7:  iteration    36870/   37905 | consumed samples:      9438720 | consumed tokens:  19330498560 | elapsed time per iteration (s): 0.25 | learning rate: 2.034E-06 | global batch size:   256 | lm loss: 3.293663E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1006.606 | TFLOPs: 25.64 |
7:  iteration    36880/   37905 | consumed samples:      9441280 | consumed tokens:  19335741440 | elapsed time per iteration (s): 0.28 | learning rate: 2.033E-06 | global batch size:   256 | lm loss: 3.288292E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.378 | TFLOPs: 23.12 |
7:  iteration    36890/   37905 | consumed samples:      9443840 | consumed tokens:  19340984320 | elapsed time per iteration (s): 0.27 | learning rate: 2.032E-06 | global batch size:   256 | lm loss: 3.310212E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.438 | TFLOPs: 23.75 |
7:  iteration    36900/   37905 | consumed samples:      9446400 | consumed tokens:  19346227200 | elapsed time per iteration (s): 0.28 | learning rate: 2.032E-06 | global batch size:   256 | lm loss: 3.360281E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.947 | TFLOPs: 23.13 |
7:  iteration    36910/   37905 | consumed samples:      9448960 | consumed tokens:  19351470080 | elapsed time per iteration (s): 0.27 | learning rate: 2.031E-06 | global batch size:   256 | lm loss: 3.362523E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 959.197 | TFLOPs: 24.44 |
7:  iteration    36920/   37905 | consumed samples:      9451520 | consumed tokens:  19356712960 | elapsed time per iteration (s): 0.29 | learning rate: 2.031E-06 | global batch size:   256 | lm loss: 3.332249E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.735 | TFLOPs: 22.28 |
7:  iteration    36930/   37905 | consumed samples:      9454080 | consumed tokens:  19361955840 | elapsed time per iteration (s): 0.34 | learning rate: 2.030E-06 | global batch size:   256 | lm loss: 3.345377E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 744.768 | TFLOPs: 18.97 |
7:  iteration    36940/   37905 | consumed samples:      9456640 | consumed tokens:  19367198720 | elapsed time per iteration (s): 0.25 | learning rate: 2.029E-06 | global batch size:   256 | lm loss: 3.360977E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1008.436 | TFLOPs: 25.69 |
7:  iteration    36950/   37905 | consumed samples:      9459200 | consumed tokens:  19372441600 | elapsed time per iteration (s): 0.26 | learning rate: 2.029E-06 | global batch size:   256 | lm loss: 3.317966E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 969.983 | TFLOPs: 24.71 |
7:  iteration    36960/   37905 | consumed samples:      9461760 | consumed tokens:  19377684480 | elapsed time per iteration (s): 0.26 | learning rate: 2.028E-06 | global batch size:   256 | lm loss: 3.298392E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1001.557 | TFLOPs: 25.51 |
7:  iteration    36970/   37905 | consumed samples:      9464320 | consumed tokens:  19382927360 | elapsed time per iteration (s): 0.29 | learning rate: 2.028E-06 | global batch size:   256 | lm loss: 3.341668E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 868.845 | TFLOPs: 22.13 |
7:  iteration    36980/   37905 | consumed samples:      9466880 | consumed tokens:  19388170240 | elapsed time per iteration (s): 0.26 | learning rate: 2.027E-06 | global batch size:   256 | lm loss: 3.337722E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.711 | TFLOPs: 25.21 |
7:  iteration    36990/   37905 | consumed samples:      9469440 | consumed tokens:  19393413120 | elapsed time per iteration (s): 0.28 | learning rate: 2.026E-06 | global batch size:   256 | lm loss: 3.307695E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 921.848 | TFLOPs: 23.48 |
7:  iteration    37000/   37905 | consumed samples:      9472000 | consumed tokens:  19398656000 | elapsed time per iteration (s): 0.29 | learning rate: 2.026E-06 | global batch size:   256 | lm loss: 3.314333E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 892.332 | TFLOPs: 22.73 |
7: -------------------------------------------------------------------------------------------
7: valid loss at iteration 37000 | lm loss value: 3.277411E+00 | lm loss PPL: 2.650706E+01 | 
7: -------------------------------------------------------------------------------------------
0: saving checkpoint at iteration   37000 to checkpoints_83slr
0: [2022-11-28 17:53:11,870] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step37000 is begin to save!
0: [2022-11-28 17:53:11,874] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37000/layer_01-model_00-model_states.pt...
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2: [2022-11-28 17:53:12,104] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt
5: [2022-11-28 17:53:12,104] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt
6: [2022-11-28 17:53:12,104] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
2: [2022-11-28 17:53:12,104] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
5: [2022-11-28 17:53:12,104] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
2: [2022-11-28 17:53:12,104] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:53:12,104] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
4: [2022-11-28 17:53:12,104] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
4: [2022-11-28 17:53:12,104] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt
4: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
4: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:53:12,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt
4: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
0: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:53:12,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt
0: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
0: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:53:12,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt
0: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
7: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:53:12,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt
7: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
3: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:53:12,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt
3: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
3: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:53:12,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt
3: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
7: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:53:12,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:53:12,106] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
1: [2022-11-28 17:53:12,106] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt
7: [2022-11-28 17:53:12,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
1: [2022-11-28 17:53:12,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
1: [2022-11-28 17:53:12,106] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:53:12,106] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt
1: [2022-11-28 17:53:12,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
4: [2022-11-28 17:53:12,106] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:53:12,106] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 17:53:12,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
5: [2022-11-28 17:53:12,107] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt.
5: [2022-11-28 17:53:12,107] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt
5: [2022-11-28 17:53:12,107] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37000 is ready now!
0:   successfully saved checkpoint at iteration   37000 to checkpoints_83slr
7: time (ms) | save-checkpoint: 240.71
7:  iteration    37010/   37905 | consumed samples:      9474560 | consumed tokens:  19403898880 | elapsed time per iteration (s): 0.29 | learning rate: 2.025E-06 | global batch size:   256 | lm loss: 3.344168E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 874.965 | TFLOPs: 22.29 |
7:  iteration    37020/   37905 | consumed samples:      9477120 | consumed tokens:  19409141760 | elapsed time per iteration (s): 0.27 | learning rate: 2.025E-06 | global batch size:   256 | lm loss: 3.294092E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.322 | TFLOPs: 23.98 |
7:  iteration    37030/   37905 | consumed samples:      9479680 | consumed tokens:  19414384640 | elapsed time per iteration (s): 0.28 | learning rate: 2.024E-06 | global batch size:   256 | lm loss: 3.332770E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 922.302 | TFLOPs: 23.50 |
7:  iteration    37040/   37905 | consumed samples:      9482240 | consumed tokens:  19419627520 | elapsed time per iteration (s): 0.32 | learning rate: 2.024E-06 | global batch size:   256 | lm loss: 3.316504E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 803.357 | TFLOPs: 20.47 |
7:  iteration    37050/   37905 | consumed samples:      9484800 | consumed tokens:  19424870400 | elapsed time per iteration (s): 0.27 | learning rate: 2.023E-06 | global batch size:   256 | lm loss: 3.340339E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 941.008 | TFLOPs: 23.97 |
7:  iteration    37060/   37905 | consumed samples:      9487360 | consumed tokens:  19430113280 | elapsed time per iteration (s): 0.27 | learning rate: 2.023E-06 | global batch size:   256 | lm loss: 3.316898E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 944.497 | TFLOPs: 24.06 |
7:  iteration    37070/   37905 | consumed samples:      9489920 | consumed tokens:  19435356160 | elapsed time per iteration (s): 0.28 | learning rate: 2.022E-06 | global batch size:   256 | lm loss: 3.311158E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 929.974 | TFLOPs: 23.69 |
7:  iteration    37080/   37905 | consumed samples:      9492480 | consumed tokens:  19440599040 | elapsed time per iteration (s): 0.30 | learning rate: 2.021E-06 | global batch size:   256 | lm loss: 3.313223E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 857.936 | TFLOPs: 21.86 |
7:  iteration    37090/   37905 | consumed samples:      9495040 | consumed tokens:  19445841920 | elapsed time per iteration (s): 0.26 | learning rate: 2.021E-06 | global batch size:   256 | lm loss: 3.343212E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 998.637 | TFLOPs: 25.44 |
7:  iteration    37100/   37905 | consumed samples:      9497600 | consumed tokens:  19451084800 | elapsed time per iteration (s): 0.29 | learning rate: 2.020E-06 | global batch size:   256 | lm loss: 3.308528E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 872.238 | TFLOPs: 22.22 |
7:  iteration    37110/   37905 | consumed samples:      9500160 | consumed tokens:  19456327680 | elapsed time per iteration (s): 0.27 | learning rate: 2.020E-06 | global batch size:   256 | lm loss: 3.348032E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.879 | TFLOPs: 23.74 |
7:  iteration    37120/   37905 | consumed samples:      9502720 | consumed tokens:  19461570560 | elapsed time per iteration (s): 0.25 | learning rate: 2.019E-06 | global batch size:   256 | lm loss: 3.289030E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1018.029 | TFLOPs: 25.93 |
7:  iteration    37130/   37905 | consumed samples:      9505280 | consumed tokens:  19466813440 | elapsed time per iteration (s): 0.33 | learning rate: 2.019E-06 | global batch size:   256 | lm loss: 3.373877E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 773.489 | TFLOPs: 19.70 |
7:  iteration    37140/   37905 | consumed samples:      9507840 | consumed tokens:  19472056320 | elapsed time per iteration (s): 0.26 | learning rate: 2.018E-06 | global batch size:   256 | lm loss: 3.314145E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 973.216 | TFLOPs: 24.79 |
7:  iteration    37150/   37905 | consumed samples:      9510400 | consumed tokens:  19477299200 | elapsed time per iteration (s): 0.30 | learning rate: 2.018E-06 | global batch size:   256 | lm loss: 3.325747E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 849.571 | TFLOPs: 21.64 |
7:  iteration    37160/   37905 | consumed samples:      9512960 | consumed tokens:  19482542080 | elapsed time per iteration (s): 0.29 | learning rate: 2.018E-06 | global batch size:   256 | lm loss: 3.345281E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 891.744 | TFLOPs: 22.72 |
7:  iteration    37170/   37905 | consumed samples:      9515520 | consumed tokens:  19487784960 | elapsed time per iteration (s): 0.27 | learning rate: 2.017E-06 | global batch size:   256 | lm loss: 3.296365E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 937.115 | TFLOPs: 23.87 |
7:  iteration    37180/   37905 | consumed samples:      9518080 | consumed tokens:  19493027840 | elapsed time per iteration (s): 0.27 | learning rate: 2.017E-06 | global batch size:   256 | lm loss: 3.325316E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 950.250 | TFLOPs: 24.21 |
7:  iteration    37190/   37905 | consumed samples:      9520640 | consumed tokens:  19498270720 | elapsed time per iteration (s): 0.29 | learning rate: 2.016E-06 | global batch size:   256 | lm loss: 3.317312E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 889.055 | TFLOPs: 22.65 |
7:  iteration    37200/   37905 | consumed samples:      9523200 | consumed tokens:  19503513600 | elapsed time per iteration (s): 0.28 | learning rate: 2.016E-06 | global batch size:   256 | lm loss: 3.300804E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 916.595 | TFLOPs: 23.35 |
7:  iteration    37210/   37905 | consumed samples:      9525760 | consumed tokens:  19508756480 | elapsed time per iteration (s): 0.31 | learning rate: 2.015E-06 | global batch size:   256 | lm loss: 3.319179E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 836.191 | TFLOPs: 21.30 |
7:  iteration    37220/   37905 | consumed samples:      9528320 | consumed tokens:  19513999360 | elapsed time per iteration (s): 0.26 | learning rate: 2.015E-06 | global batch size:   256 | lm loss: 3.341424E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.235 | TFLOPs: 25.40 |
7:  iteration    37230/   37905 | consumed samples:      9530880 | consumed tokens:  19519242240 | elapsed time per iteration (s): 0.29 | learning rate: 2.014E-06 | global batch size:   256 | lm loss: 3.346512E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 890.295 | TFLOPs: 22.68 |
7:  iteration    37240/   37905 | consumed samples:      9533440 | consumed tokens:  19524485120 | elapsed time per iteration (s): 0.28 | learning rate: 2.014E-06 | global batch size:   256 | lm loss: 3.291105E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 908.525 | TFLOPs: 23.14 |
7:  iteration    37250/   37905 | consumed samples:      9536000 | consumed tokens:  19529728000 | elapsed time per iteration (s): 0.32 | learning rate: 2.014E-06 | global batch size:   256 | lm loss: 3.328066E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 790.680 | TFLOPs: 20.14 |
7:  iteration    37260/   37905 | consumed samples:      9538560 | consumed tokens:  19534970880 | elapsed time per iteration (s): 0.27 | learning rate: 2.013E-06 | global batch size:   256 | lm loss: 3.304140E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.031 | TFLOPs: 24.13 |
7:  iteration    37270/   37905 | consumed samples:      9541120 | consumed tokens:  19540213760 | elapsed time per iteration (s): 0.30 | learning rate: 2.013E-06 | global batch size:   256 | lm loss: 3.356935E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 844.893 | TFLOPs: 21.52 |
7:  iteration    37280/   37905 | consumed samples:      9543680 | consumed tokens:  19545456640 | elapsed time per iteration (s): 0.25 | learning rate: 2.012E-06 | global batch size:   256 | lm loss: 3.336079E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1027.170 | TFLOPs: 26.17 |
7:  iteration    37290/   37905 | consumed samples:      9546240 | consumed tokens:  19550699520 | elapsed time per iteration (s): 0.28 | learning rate: 2.012E-06 | global batch size:   256 | lm loss: 3.328783E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 923.413 | TFLOPs: 23.52 |
7:  iteration    37300/   37905 | consumed samples:      9548800 | consumed tokens:  19555942400 | elapsed time per iteration (s): 0.26 | learning rate: 2.012E-06 | global batch size:   256 | lm loss: 3.319368E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 991.417 | TFLOPs: 25.26 |
7:  iteration    37310/   37905 | consumed samples:      9551360 | consumed tokens:  19561185280 | elapsed time per iteration (s): 0.31 | learning rate: 2.011E-06 | global batch size:   256 | lm loss: 3.328799E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 836.434 | TFLOPs: 21.31 |
7:  iteration    37320/   37905 | consumed samples:      9553920 | consumed tokens:  19566428160 | elapsed time per iteration (s): 0.27 | learning rate: 2.011E-06 | global batch size:   256 | lm loss: 3.321339E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 956.926 | TFLOPs: 24.38 |
7:  iteration    37330/   37905 | consumed samples:      9556480 | consumed tokens:  19571671040 | elapsed time per iteration (s): 0.29 | learning rate: 2.010E-06 | global batch size:   256 | lm loss: 3.317138E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 879.615 | TFLOPs: 22.41 |
7:  iteration    37340/   37905 | consumed samples:      9559040 | consumed tokens:  19576913920 | elapsed time per iteration (s): 0.27 | learning rate: 2.010E-06 | global batch size:   256 | lm loss: 3.307000E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.935 | TFLOPs: 24.15 |
7:  iteration    37350/   37905 | consumed samples:      9561600 | consumed tokens:  19582156800 | elapsed time per iteration (s): 0.31 | learning rate: 2.010E-06 | global batch size:   256 | lm loss: 3.320755E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 814.962 | TFLOPs: 20.76 |
7:  iteration    37360/   37905 | consumed samples:      9564160 | consumed tokens:  19587399680 | elapsed time per iteration (s): 0.27 | learning rate: 2.009E-06 | global batch size:   256 | lm loss: 3.326872E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 963.589 | TFLOPs: 24.55 |
7:  iteration    37370/   37905 | consumed samples:      9566720 | consumed tokens:  19592642560 | elapsed time per iteration (s): 0.27 | learning rate: 2.009E-06 | global batch size:   256 | lm loss: 3.303336E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.797 | TFLOPs: 24.15 |
7:  iteration    37380/   37905 | consumed samples:      9569280 | consumed tokens:  19597885440 | elapsed time per iteration (s): 0.30 | learning rate: 2.009E-06 | global batch size:   256 | lm loss: 3.360238E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.320 | TFLOPs: 21.48 |
7:  iteration    37390/   37905 | consumed samples:      9571840 | consumed tokens:  19603128320 | elapsed time per iteration (s): 0.30 | learning rate: 2.008E-06 | global batch size:   256 | lm loss: 3.310065E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 842.648 | TFLOPs: 21.47 |
7:  iteration    37400/   37905 | consumed samples:      9574400 | consumed tokens:  19608371200 | elapsed time per iteration (s): 0.25 | learning rate: 2.008E-06 | global batch size:   256 | lm loss: 3.309230E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1013.773 | TFLOPs: 25.83 |
7:  iteration    37410/   37905 | consumed samples:      9576960 | consumed tokens:  19613614080 | elapsed time per iteration (s): 0.26 | learning rate: 2.008E-06 | global batch size:   256 | lm loss: 3.272336E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.740 | TFLOPs: 24.73 |
7:  iteration    37420/   37905 | consumed samples:      9579520 | consumed tokens:  19618856960 | elapsed time per iteration (s): 0.30 | learning rate: 2.007E-06 | global batch size:   256 | lm loss: 3.297227E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 858.363 | TFLOPs: 21.87 |
7:  iteration    37430/   37905 | consumed samples:      9582080 | consumed tokens:  19624099840 | elapsed time per iteration (s): 0.26 | learning rate: 2.007E-06 | global batch size:   256 | lm loss: 3.314341E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.552 | TFLOPs: 24.67 |
7:  iteration    37440/   37905 | consumed samples:      9584640 | consumed tokens:  19629342720 | elapsed time per iteration (s): 0.29 | learning rate: 2.007E-06 | global batch size:   256 | lm loss: 3.298652E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 869.249 | TFLOPs: 22.14 |
7:  iteration    37450/   37905 | consumed samples:      9587200 | consumed tokens:  19634585600 | elapsed time per iteration (s): 0.27 | learning rate: 2.007E-06 | global batch size:   256 | lm loss: 3.335273E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 932.310 | TFLOPs: 23.75 |
7:  iteration    37460/   37905 | consumed samples:      9589760 | consumed tokens:  19639828480 | elapsed time per iteration (s): 0.30 | learning rate: 2.006E-06 | global batch size:   256 | lm loss: 3.340512E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 843.704 | TFLOPs: 21.49 |
7:  iteration    37470/   37905 | consumed samples:      9592320 | consumed tokens:  19645071360 | elapsed time per iteration (s): 0.26 | learning rate: 2.006E-06 | global batch size:   256 | lm loss: 3.346362E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 970.454 | TFLOPs: 24.72 |
7:  iteration    37480/   37905 | consumed samples:      9594880 | consumed tokens:  19650314240 | elapsed time per iteration (s): 0.31 | learning rate: 2.006E-06 | global batch size:   256 | lm loss: 3.318945E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 828.339 | TFLOPs: 21.10 |
7:  iteration    37490/   37905 | consumed samples:      9597440 | consumed tokens:  19655557120 | elapsed time per iteration (s): 0.27 | learning rate: 2.005E-06 | global batch size:   256 | lm loss: 3.333701E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 936.958 | TFLOPs: 23.87 |
7:  iteration    37500/   37905 | consumed samples:      9600000 | consumed tokens:  19660800000 | elapsed time per iteration (s): 0.31 | learning rate: 2.005E-06 | global batch size:   256 | lm loss: 3.340774E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 830.374 | TFLOPs: 21.15 |
7:  iteration    37510/   37905 | consumed samples:      9602560 | consumed tokens:  19666042880 | elapsed time per iteration (s): 0.27 | learning rate: 2.005E-06 | global batch size:   256 | lm loss: 3.333941E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 931.414 | TFLOPs: 23.73 |
7:  iteration    37520/   37905 | consumed samples:      9605120 | consumed tokens:  19671285760 | elapsed time per iteration (s): 0.28 | learning rate: 2.005E-06 | global batch size:   256 | lm loss: 3.285803E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 907.181 | TFLOPs: 23.11 |
7:  iteration    37530/   37905 | consumed samples:      9607680 | consumed tokens:  19676528640 | elapsed time per iteration (s): 0.32 | learning rate: 2.004E-06 | global batch size:   256 | lm loss: 3.321121E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 797.571 | TFLOPs: 20.32 |
7:  iteration    37540/   37905 | consumed samples:      9610240 | consumed tokens:  19681771520 | elapsed time per iteration (s): 0.25 | learning rate: 2.004E-06 | global batch size:   256 | lm loss: 3.238441E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1017.535 | TFLOPs: 25.92 |
7:  iteration    37550/   37905 | consumed samples:      9612800 | consumed tokens:  19687014400 | elapsed time per iteration (s): 0.27 | learning rate: 2.004E-06 | global batch size:   256 | lm loss: 3.304805E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 960.747 | TFLOPs: 24.48 |
7:  iteration    37560/   37905 | consumed samples:      9615360 | consumed tokens:  19692257280 | elapsed time per iteration (s): 0.29 | learning rate: 2.004E-06 | global batch size:   256 | lm loss: 3.269151E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 881.425 | TFLOPs: 22.45 |
7:  iteration    37570/   37905 | consumed samples:      9617920 | consumed tokens:  19697500160 | elapsed time per iteration (s): 0.25 | learning rate: 2.004E-06 | global batch size:   256 | lm loss: 3.324095E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 1042.844 | TFLOPs: 26.57 |
7:  iteration    37580/   37905 | consumed samples:      9620480 | consumed tokens:  19702743040 | elapsed time per iteration (s): 0.30 | learning rate: 2.003E-06 | global batch size:   256 | lm loss: 3.362270E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 866.586 | TFLOPs: 22.08 |
7:  iteration    37590/   37905 | consumed samples:      9623040 | consumed tokens:  19707985920 | elapsed time per iteration (s): 0.26 | learning rate: 2.003E-06 | global batch size:   256 | lm loss: 3.297429E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 989.453 | TFLOPs: 25.21 |
7:  iteration    37600/   37905 | consumed samples:      9625600 | consumed tokens:  19713228800 | elapsed time per iteration (s): 0.28 | learning rate: 2.003E-06 | global batch size:   256 | lm loss: 3.345475E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 905.507 | TFLOPs: 23.07 |
7:  iteration    37610/   37905 | consumed samples:      9628160 | consumed tokens:  19718471680 | elapsed time per iteration (s): 0.26 | learning rate: 2.003E-06 | global batch size:   256 | lm loss: 3.334226E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 992.886 | TFLOPs: 25.29 |
7:  iteration    37620/   37905 | consumed samples:      9630720 | consumed tokens:  19723714560 | elapsed time per iteration (s): 0.29 | learning rate: 2.003E-06 | global batch size:   256 | lm loss: 3.354353E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 881.325 | TFLOPs: 22.45 |
7:  iteration    37630/   37905 | consumed samples:      9633280 | consumed tokens:  19728957440 | elapsed time per iteration (s): 0.28 | learning rate: 2.002E-06 | global batch size:   256 | lm loss: 3.303687E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 928.413 | TFLOPs: 23.65 |
7:  iteration    37640/   37905 | consumed samples:      9635840 | consumed tokens:  19734200320 | elapsed time per iteration (s): 0.30 | learning rate: 2.002E-06 | global batch size:   256 | lm loss: 3.308073E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 847.016 | TFLOPs: 21.58 |
7:  iteration    37650/   37905 | consumed samples:      9638400 | consumed tokens:  19739443200 | elapsed time per iteration (s): 0.26 | learning rate: 2.002E-06 | global batch size:   256 | lm loss: 3.316504E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 976.632 | TFLOPs: 24.88 |
7:  iteration    37660/   37905 | consumed samples:      9640960 | consumed tokens:  19744686080 | elapsed time per iteration (s): 0.31 | learning rate: 2.002E-06 | global batch size:   256 | lm loss: 3.301287E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 831.484 | TFLOPs: 21.18 |
7:  iteration    37670/   37905 | consumed samples:      9643520 | consumed tokens:  19749928960 | elapsed time per iteration (s): 0.28 | learning rate: 2.002E-06 | global batch size:   256 | lm loss: 3.286713E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 912.349 | TFLOPs: 23.24 |
7:  iteration    37680/   37905 | consumed samples:      9646080 | consumed tokens:  19755171840 | elapsed time per iteration (s): 0.31 | learning rate: 2.002E-06 | global batch size:   256 | lm loss: 3.312947E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 818.800 | TFLOPs: 20.86 |
7:  iteration    37690/   37905 | consumed samples:      9648640 | consumed tokens:  19760414720 | elapsed time per iteration (s): 0.26 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.275492E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 997.227 | TFLOPs: 25.40 |
7:  iteration    37700/   37905 | consumed samples:      9651200 | consumed tokens:  19765657600 | elapsed time per iteration (s): 0.27 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.363125E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 965.144 | TFLOPs: 24.59 |
7:  iteration    37710/   37905 | consumed samples:      9653760 | consumed tokens:  19770900480 | elapsed time per iteration (s): 0.33 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.370096E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 770.868 | TFLOPs: 19.64 |
7:  iteration    37720/   37905 | consumed samples:      9656320 | consumed tokens:  19776143360 | elapsed time per iteration (s): 0.29 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.352192E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 877.187 | TFLOPs: 22.35 |
7:  iteration    37730/   37905 | consumed samples:      9658880 | consumed tokens:  19781386240 | elapsed time per iteration (s): 0.30 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.325164E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 841.441 | TFLOPs: 21.44 |
7:  iteration    37740/   37905 | consumed samples:      9661440 | consumed tokens:  19786629120 | elapsed time per iteration (s): 0.28 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.327832E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 919.545 | TFLOPs: 23.43 |
7:  iteration    37750/   37905 | consumed samples:      9664000 | consumed tokens:  19791872000 | elapsed time per iteration (s): 0.28 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.320655E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 910.277 | TFLOPs: 23.19 |
7:  iteration    37760/   37905 | consumed samples:      9666560 | consumed tokens:  19797114880 | elapsed time per iteration (s): 0.28 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.311661E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 899.794 | TFLOPs: 22.92 |
7:  iteration    37770/   37905 | consumed samples:      9669120 | consumed tokens:  19802357760 | elapsed time per iteration (s): 0.29 | learning rate: 2.001E-06 | global batch size:   256 | lm loss: 3.313293E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 875.942 | TFLOPs: 22.31 |
7:  iteration    37780/   37905 | consumed samples:      9671680 | consumed tokens:  19807600640 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.325724E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 866.131 | TFLOPs: 22.06 |
7:  iteration    37790/   37905 | consumed samples:      9674240 | consumed tokens:  19812843520 | elapsed time per iteration (s): 0.26 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.306352E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 993.911 | TFLOPs: 25.32 |
7:  iteration    37800/   37905 | consumed samples:      9676800 | consumed tokens:  19818086400 | elapsed time per iteration (s): 0.28 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.284940E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 927.874 | TFLOPs: 23.64 |
7:  iteration    37810/   37905 | consumed samples:      9679360 | consumed tokens:  19823329280 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.274504E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 800.915 | TFLOPs: 20.40 |
7:  iteration    37820/   37905 | consumed samples:      9681920 | consumed tokens:  19828572160 | elapsed time per iteration (s): 0.27 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.304356E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 947.120 | TFLOPs: 24.13 |
7:  iteration    37830/   37905 | consumed samples:      9684480 | consumed tokens:  19833815040 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.353799E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 859.686 | TFLOPs: 21.90 |
7:  iteration    37840/   37905 | consumed samples:      9687040 | consumed tokens:  19839057920 | elapsed time per iteration (s): 0.29 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.293031E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 897.437 | TFLOPs: 22.86 |
7:  iteration    37850/   37905 | consumed samples:      9689600 | consumed tokens:  19844300800 | elapsed time per iteration (s): 0.28 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.323444E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 924.755 | TFLOPs: 23.56 |
7:  iteration    37860/   37905 | consumed samples:      9692160 | consumed tokens:  19849543680 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.350680E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 858.103 | TFLOPs: 21.86 |
7:  iteration    37870/   37905 | consumed samples:      9694720 | consumed tokens:  19854786560 | elapsed time per iteration (s): 0.27 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.331925E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 953.796 | TFLOPs: 24.30 |
7:  iteration    37880/   37905 | consumed samples:      9697280 | consumed tokens:  19860029440 | elapsed time per iteration (s): 0.28 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.324714E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 899.253 | TFLOPs: 22.91 |
7:  iteration    37890/   37905 | consumed samples:      9699840 | consumed tokens:  19865272320 | elapsed time per iteration (s): 0.26 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.336468E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 968.548 | TFLOPs: 24.67 |
7:  iteration    37900/   37905 | consumed samples:      9702400 | consumed tokens:  19870515200 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-06 | global batch size:   256 | lm loss: 3.295825E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations:   0 | number of nan iterations:   0 | samples per second: 806.117 | TFLOPs: 20.54 |
0: [after training is done] datetime: 2022-11-28 17:57:28 
0: saving checkpoint at iteration   37905 to checkpoints_83slr
7: ------------------------------------------------------------------------------------------------------------
7: valid loss at the end of training for val data | lm loss value: 3.258158E+00 | lm loss PPL: 2.600159E+01 | 
7: ------------------------------------------------------------------------------------------------------------
0: [2022-11-28 17:57:28,318] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step37905 is begin to save!
0: [2022-11-28 17:57:28,321] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_01-model_00-model_states.pt...
0: [2022-11-28 17:57:28,390] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_01-model_00-model_states.pt.
0: [2022-11-28 17:57:28,391] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_03-model_00-model_states.pt...
0: [2022-11-28 17:57:28,402] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_03-model_00-model_states.pt.
0: [2022-11-28 17:57:28,403] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_04-model_00-model_states.pt...
0: [2022-11-28 17:57:28,413] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_04-model_00-model_states.pt.
0: [2022-11-28 17:57:28,414] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_05-model_00-model_states.pt...
0: [2022-11-28 17:57:28,425] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_05-model_00-model_states.pt.
0: [2022-11-28 17:57:28,425] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_06-model_00-model_states.pt...
0: [2022-11-28 17:57:28,436] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_06-model_00-model_states.pt.
0: [2022-11-28 17:57:28,436] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_07-model_00-model_states.pt...
0: [2022-11-28 17:57:28,447] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_07-model_00-model_states.pt.
0: [2022-11-28 17:57:28,447] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_08-model_00-model_states.pt...
0: [2022-11-28 17:57:28,458] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_08-model_00-model_states.pt.
0: [2022-11-28 17:57:28,458] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_09-model_00-model_states.pt...
0: [2022-11-28 17:57:28,469] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_09-model_00-model_states.pt.
0: [2022-11-28 17:57:28,469] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_10-model_00-model_states.pt...
0: [2022-11-28 17:57:28,480] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_10-model_00-model_states.pt.
0: [2022-11-28 17:57:28,480] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_11-model_00-model_states.pt...
0: [2022-11-28 17:57:28,491] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_11-model_00-model_states.pt.
0: [2022-11-28 17:57:28,491] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_12-model_00-model_states.pt...
0: [2022-11-28 17:57:28,502] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_12-model_00-model_states.pt.
0: [2022-11-28 17:57:28,502] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_83slr/global_step37905/layer_14-model_00-model_states.pt...
0: [2022-11-28 17:57:28,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/layer_14-model_00-model_states.pt.
0: [2022-11-28 17:57:28,504] [INFO] [logging.py:68:log_dist] [Rank 0] Saving model checkpoint: checkpoints_83slr/global_step37905/mp_rank_00_model_states.pt
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0: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:57:28,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt
0: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
2: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:57:28,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt
7: [2022-11-28 17:57:28,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt
2: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt.
2: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
7: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
2: [2022-11-28 17:57:28,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt
2: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
0: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt.
0: [2022-11-28 17:57:28,550] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt
0: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
6: [2022-11-28 17:57:28,550] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt.
6: [2022-11-28 17:57:28,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt
6: [2022-11-28 17:57:28,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
4: [2022-11-28 17:57:28,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:57:28,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt
4: [2022-11-28 17:57:28,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
7: [2022-11-28 17:57:28,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:57:28,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt
7: [2022-11-28 17:57:28,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
4: [2022-11-28 17:57:28,552] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt.
4: [2022-11-28 17:57:28,552] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt
4: [2022-11-28 17:57:28,552] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
3: [2022-11-28 17:57:28,552] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt.
3: [2022-11-28 17:57:28,552] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt
3: [2022-11-28 17:57:28,552] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
7: [2022-11-28 17:57:28,552] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt.
7: [2022-11-28 17:57:28,552] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt
7: [2022-11-28 17:57:28,552] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
1: [2022-11-28 17:57:28,553] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:57:28,553] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt
1: [2022-11-28 17:57:28,553] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
1: [2022-11-28 17:57:28,554] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt.
1: [2022-11-28 17:57:28,554] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_83slr/global_step37905/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt
1: [2022-11-28 17:57:28,554] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step37905 is ready now!
0:   successfully saved checkpoint at iteration   37905 to checkpoints_83slr
7: ------------------------------------------------------------------------------------------------------------
7: test loss at the end of training for test data | lm loss value: 3.167942E+00 | lm loss PPL: 2.375853E+01 | 
7: ------------------------------------------------------------------------------------------------------------
END 2077586: Mon Nov 28 17:57:41 EET 2022