Model parameters: d_model 768 ffw_size 3072 kv_size 64 n_heads 12 n_layers 15 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 15 --hidden-size 768 --num-attention-heads 12 --kv-channels 64 --ffn-hidden-size 3072 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 5_517_578 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-146m --bf16 --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 5_517_578 --lr-warmup-samples 55_176 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_146m --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_146m --load checkpoints_146m --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/2072536.json --zero-stage 0 START 2072536: Fri Nov 25 17:29:47 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 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= 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 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 48.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 38.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= 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 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 37.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 43.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 42.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 44.0c 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 41.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 42.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 45.0c 84.0W 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 ============================== 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 43.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 47.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= 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 48.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 37.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 48.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= 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 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= 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 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 45.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 40.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 7: Launching on nid005079 (7/8), master nid005072 port 9999, GPUs 8, CUDA: True 6: Launching on nid005078 (6/8), master nid005072 port 9999, GPUs 8, CUDA: True 0: Launching on nid005072 (0/8), master nid005072 port 9999, GPUs 8, CUDA: True 3: Launching on nid005075 (3/8), master nid005072 port 9999, GPUs 8, CUDA: True 2: Launching on nid005074 (2/8), master nid005072 port 9999, GPUs 8, CUDA: True 4: Launching on nid005076 (4/8), master nid005072 port 9999, GPUs 8, CUDA: True 5: Launching on nid005077 (5/8), master nid005072 port 9999, GPUs 8, CUDA: True 1: Launching on nid005073 (1/8), master nid005072 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 .......................... False 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/2072536.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 ................................. 3072 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 ..................................... 768 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-146m 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_146m 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 ...................................... None 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 5517578 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 55176 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-05 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 ............................. 12 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 15 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_146m 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_146m 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 ................................... 5517578 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: [2022-11-25 17:30:49,877] [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: 0.091 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.cuda.o scaled_upper_triang_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_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: ninja: no work to do. 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_hip_kernel.cuda.o layer_norm_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: 21.454 seconds 0: time to initialize megatron (seconds): 69.261 0: [after megatron is initialized] datetime: 2022-11-25 17:31:17 0: building GPT model ... 0: [2022-11-25 17:31:17,315] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-25 17:31:17,315] [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: [2022-11-25 17:31:17,315] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.14 GB, percent = 5.8% 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: [2022-11-25 17:31:19,530] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=22 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 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: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: undo 0: 19: MixedFusedLayerNorm 0: 20: EmbeddingPipe 0: 21: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-25 17:31:19,842] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-25 17:31:19,843] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.28 GB CA 0.29 GB Max_CA 0 GB 0: [2022-11-25 17:31:19,843] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.16 GB, percent = 5.8% 0: setting training iterations to 21553 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-25 17:31:19,845] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-25 17:31:32,893] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-25 17:31:32,894] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-25 17:31:32,894] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-25 17:31:32,898] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-25 17:31:32,898] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-25 17:31:32,940] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-25 17:31:32,941] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.29 GB CA 0.31 GB Max_CA 0 GB 0: [2022-11-25 17:31:32,941] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.82 GB, percent = 5.9% 7: ninja: no work to do. 7: Time to load utils op: 0.22454023361206055 seconds 0: ninja: no work to do. 0: Time to load utils op: 0.12721824645996094 seconds 3: Time to load utils op: 0.3108365535736084 seconds 0: Time to load utils op: 0.20401978492736816 secondsTime to load utils op: 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load utils op: 0.000579833984375 seconds 6: Time to load utils op: 0.0006992816925048828 seconds 1: Time to load utils op: 0.00041604042053222656 seconds 1: Time to load utils op: 0.0005102157592773438 seconds 6: Time to load utils op: 0.0013186931610107422 seconds 2: Time to load utils op: 0.0010666847229003906 seconds 0: [2022-11-25 17:31:33,468] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 6: Time to load utils op: 0.0013072490692138672 seconds 2: Time to load utils op: 0.0012025833129882812 seconds 6: Time to load utils op: 0.001360177993774414 seconds 6: Time to load utils op: 0.0013630390167236328 seconds 6: Time to load utils op: 0.0014715194702148438 secondsTime to load utils op: 0.0013706684112548828 seconds 2: Time to load utils op: 0.0012018680572509766 seconds 6: 2: Time to load utils op: 0.0012028217315673828 secondsTime to load utils op: 0.0011646747589111328 secondsTime to load utils op: 0.0011796951293945312 seconds 2: 2: 6: Time to load utils op: 0.0014314651489257812 seconds 2: Time to load utils op: 0.001214742660522461 seconds 2: Time to load utils op: 0.0012989044189453125 seconds 0: [2022-11-25 17:31:33,469] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,469] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.83 GB, percent = 5.9% 0: [2022-11-25 17:31:33,509] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-25 17:31:33,510] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,510] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.97 GB, percent = 6.0% 0: [2022-11-25 17:31:33,542] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-25 17:31:33,543] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,543] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.97 GB, percent = 6.0% 0: [2022-11-25 17:31:33,573] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-25 17:31:33,574] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,574] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.97 GB, percent = 6.0% 0: [2022-11-25 17:31:33,607] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-25 17:31:33,607] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,608] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.97 GB, percent = 6.0% 0: [2022-11-25 17:31:33,638] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-25 17:31:33,638] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,639] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.97 GB, percent = 6.0% 0: [2022-11-25 17:31:33,674] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-25 17:31:33,675] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,675] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.97 GB, percent = 6.0% 0: [2022-11-25 17:31:33,705] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-25 17:31:33,706] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-25 17:31:33,706] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.97 GB, percent = 6.0% 0: [2022-11-25 17:31:33,706] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-25 17:31:33,706] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-25 17:31:33,706] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-25 17:31:33,706] [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: [2022-11-25 17:31:33,707] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-25 17:31:33,707] [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: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-25 17:31:33,707] [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: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-25 17:31:33,707] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-25 17:31:33,708] [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: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-25 17:31:33,708] [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: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-25 17:31:33,708] [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: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-25 17:31:33,708] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-25 17:31:33,709] [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: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-25 17:31:33,709] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-25 17:31:33,709] [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: 0.0004062652587890625 seconds 0: [2022-11-25 17:31:33,709] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-25 17:31:33,719] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=22 [0, 22) STAGE_PARAMS=146525952 (146.526M) TOTAL_PARAMS=146525952 (146.526M) UNIQUE_PARAMS=146525952 (146.526M) 4: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/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_146m 0: will not load any checkpoints and will start from random 3: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,725] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 17:31:33,726] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m/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: 5.73 0: estimated model parameters: 0.146525952 0: estimated model parameters without embeddings: 0.106319616 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-25 17:31:34 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 5517578 0: validation: 5632 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 0.024323 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: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 14.655996 0: using: 0: number of documents: 199864130 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 173377816 0: > elasped time to build and save sample-idx mapping (seconds): 4.187417 0: > building shuffle index with split [0, 173377816) and [173377816, 173377816) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 10.345480 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_5517578ns_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_5517578ns_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_5517578ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.172 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 0.516110 0: using: 0: number of documents: 10530249 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 9118344 0: > elasped time to build and save sample-idx mapping (seconds): 0.206488 0: > building shuffle index with split [0, 9118344) and [9118344, 9118344) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.273196 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_5632ns_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_5632ns_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_5632ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.070 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 0.078 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-25 17:32:20 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: 17176.59 | train/valid/test-data-iterators-setup: 46228.34 0: [000-000] 0.1465B / 0.1063B 0: [before the start of training step] datetime: 2022-11-25 17:32:20 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 2731.02197265625 | max allocated: 22586.583984375 | reserved: 23360.0 | max reserved: 23360.0 7: iteration 10/ 21553 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.27 | learning rate: 9.279E-06 | global batch size: 256 | lm loss: 1.035255E+01 | grad norm: 6.121 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 200.919 | TFLOPs: 7.03 | 7: iteration 20/ 21553 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.32 | learning rate: 1.856E-05 | global batch size: 256 | lm loss: 9.227745E+00 | grad norm: 2.011 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.510 | TFLOPs: 28.02 | 7: iteration 30/ 21553 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.32 | learning rate: 2.784E-05 | global batch size: 256 | lm loss: 8.901884E+00 | grad norm: 1.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.236 | TFLOPs: 28.43 | 7: iteration 40/ 21553 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.31 | learning rate: 3.712E-05 | global batch size: 256 | lm loss: 8.559880E+00 | grad norm: 1.679 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.669 | TFLOPs: 28.59 | 7: iteration 50/ 21553 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.31 | learning rate: 4.640E-05 | global batch size: 256 | lm loss: 8.165595E+00 | grad norm: 1.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.148 | TFLOPs: 28.85 | 7: iteration 60/ 21553 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.34 | learning rate: 5.568E-05 | global batch size: 256 | lm loss: 7.822748E+00 | grad norm: 1.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 761.591 | TFLOPs: 26.66 | 7: iteration 70/ 21553 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.31 | learning rate: 6.496E-05 | global batch size: 256 | lm loss: 7.460661E+00 | grad norm: 1.645 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.922 | TFLOPs: 28.88 | 7: iteration 80/ 21553 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.33 | learning rate: 7.424E-05 | global batch size: 256 | lm loss: 7.127561E+00 | grad norm: 0.978 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.576 | TFLOPs: 27.54 | 7: iteration 90/ 21553 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.31 | learning rate: 8.351E-05 | global batch size: 256 | lm loss: 6.908787E+00 | grad norm: 1.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.617 | TFLOPs: 28.90 | 7: iteration 100/ 21553 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.31 | learning rate: 9.279E-05 | global batch size: 256 | lm loss: 6.696878E+00 | grad norm: 1.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.205 | TFLOPs: 29.27 | 7: iteration 110/ 21553 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.32 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 6.535680E+00 | grad norm: 1.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.930 | TFLOPs: 28.07 | 7: iteration 120/ 21553 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.32 | learning rate: 1.114E-04 | global batch size: 256 | lm loss: 6.406283E+00 | grad norm: 1.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.007 | TFLOPs: 28.01 | 7: iteration 130/ 21553 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.31 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 6.260789E+00 | grad norm: 1.053 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.765 | TFLOPs: 28.59 | 7: iteration 140/ 21553 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.32 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 6.166949E+00 | grad norm: 1.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.009 | TFLOPs: 28.15 | 7: iteration 150/ 21553 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.32 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 6.097012E+00 | grad norm: 1.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 791.995 | TFLOPs: 27.73 | 7: iteration 160/ 21553 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.33 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 5.956919E+00 | grad norm: 1.008 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 785.716 | TFLOPs: 27.51 | 7: iteration 170/ 21553 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.31 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 5.923164E+00 | grad norm: 1.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.138 | TFLOPs: 28.78 | 7: iteration 180/ 21553 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.32 | learning rate: 1.670E-04 | global batch size: 256 | lm loss: 5.805059E+00 | grad norm: 1.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.898 | TFLOPs: 28.07 | 7: iteration 190/ 21553 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.32 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 5.761803E+00 | grad norm: 1.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.595 | TFLOPs: 27.64 | 7: iteration 200/ 21553 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.31 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 5.687910E+00 | grad norm: 1.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.284 | TFLOPs: 28.61 | 7: iteration 210/ 21553 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.31 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 5.650314E+00 | grad norm: 1.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.545 | TFLOPs: 28.80 | 7: iteration 220/ 21553 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.571930E+00 | grad norm: 1.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.643 | TFLOPs: 27.99 | 7: iteration 230/ 21553 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.538058E+00 | grad norm: 0.916 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.443 | TFLOPs: 28.58 | 7: iteration 240/ 21553 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.508624E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.550 | TFLOPs: 29.25 | 7: iteration 250/ 21553 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.429354E+00 | grad norm: 1.049 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.318 | TFLOPs: 28.05 | 7: iteration 260/ 21553 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.33 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.409290E+00 | grad norm: 0.815 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 772.652 | TFLOPs: 27.05 | 7: iteration 270/ 21553 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.332355E+00 | grad norm: 0.862 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.458 | TFLOPs: 28.48 | 7: iteration 280/ 21553 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.317310E+00 | grad norm: 0.733 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.342 | TFLOPs: 27.74 | 7: iteration 290/ 21553 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.262907E+00 | grad norm: 1.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.510 | TFLOPs: 28.48 | 7: iteration 300/ 21553 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.185440E+00 | grad norm: 0.676 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.729 | TFLOPs: 28.77 | 7: iteration 310/ 21553 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.204135E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.918 | TFLOPs: 28.28 | 7: iteration 320/ 21553 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.33 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.176025E+00 | grad norm: 0.946 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 768.694 | TFLOPs: 26.91 | 7: iteration 330/ 21553 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.149445E+00 | grad norm: 0.890 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.225 | TFLOPs: 28.15 | 7: iteration 340/ 21553 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.115939E+00 | grad norm: 0.735 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.520 | TFLOPs: 29.39 | 7: iteration 350/ 21553 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.059958E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.950 | TFLOPs: 28.70 | 7: iteration 360/ 21553 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.025798E+00 | grad norm: 0.853 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.451 | TFLOPs: 27.88 | 7: iteration 370/ 21553 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.976713E+00 | grad norm: 0.691 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.473 | TFLOPs: 28.72 | 7: iteration 380/ 21553 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.971929E+00 | grad norm: 0.735 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.713 | TFLOPs: 28.73 | 7: iteration 390/ 21553 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.927294E+00 | grad norm: 0.910 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.569 | TFLOPs: 27.99 | 7: iteration 400/ 21553 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.946591E+00 | grad norm: 0.957 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.683 | TFLOPs: 28.52 | 7: iteration 410/ 21553 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.901430E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.276 | TFLOPs: 28.93 | 7: iteration 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TFLOPs: 27.75 | 7: iteration 450/ 21553 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.790571E+00 | grad norm: 0.842 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.727 | TFLOPs: 28.84 | 7: iteration 460/ 21553 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.799353E+00 | grad norm: 1.025 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.087 | TFLOPs: 28.53 | 7: iteration 470/ 21553 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.776627E+00 | grad norm: 1.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.853 | TFLOPs: 28.28 | 7: iteration 480/ 21553 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.752605E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.298 | TFLOPs: 28.02 | 7: iteration 490/ 21553 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.696078E+00 | grad norm: 0.907 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.187 | TFLOPs: 28.68 | 7: iteration 500/ 21553 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.688320E+00 | grad norm: 0.734 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.347 | TFLOPs: 27.67 | 7: iteration 510/ 21553 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.665505E+00 | grad norm: 0.915 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.419 | TFLOPs: 28.79 | 7: iteration 520/ 21553 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.636910E+00 | grad norm: 1.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.265 | TFLOPs: 28.86 | 7: iteration 530/ 21553 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.577019E+00 | grad norm: 0.978 | num zeros: 0.0 | 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norm: 0.956 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.025 | TFLOPs: 29.09 | 7: iteration 570/ 21553 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.551279E+00 | grad norm: 0.928 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.073 | TFLOPs: 28.57 | 7: iteration 580/ 21553 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.30 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.508670E+00 | grad norm: 0.808 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.345 | TFLOPs: 29.59 | 7: iteration 590/ 21553 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.454187E+00 | grad norm: 0.907 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.617 | TFLOPs: 29.32 | 7: iteration 600/ 21553 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.442399E+00 | grad norm: 0.901 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.843 | TFLOPs: 28.84 | 7: iteration 610/ 21553 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.432011E+00 | grad norm: 0.978 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.046 | TFLOPs: 28.50 | 7: iteration 620/ 21553 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.363071E+00 | grad norm: 1.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.425 | TFLOPs: 28.76 | 7: iteration 630/ 21553 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.423969E+00 | grad norm: 1.050 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.245 | TFLOPs: 29.17 | 7: iteration 640/ 21553 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.322603E+00 | grad norm: 1.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.053 | TFLOPs: 28.74 | 7: iteration 650/ 21553 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.323783E+00 | grad norm: 1.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.630 | TFLOPs: 29.25 | 7: iteration 660/ 21553 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.253331E+00 | grad norm: 0.952 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.523 | TFLOPs: 28.90 | 7: iteration 670/ 21553 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.32 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.187371E+00 | grad norm: 1.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.358 | TFLOPs: 28.37 | 7: iteration 680/ 21553 | consumed samples: 174080 | consumed tokens: 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iterations: 0 | samples per second: 835.749 | TFLOPs: 29.26 | 7: iteration 800/ 21553 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.32 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.831419E+00 | grad norm: 0.886 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.257 | TFLOPs: 28.05 | 7: iteration 810/ 21553 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.32 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.800061E+00 | grad norm: 0.814 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.064 | TFLOPs: 28.39 | 7: iteration 820/ 21553 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.815657E+00 | grad norm: 1.032 | num zeros: 0.0 | number of skipped 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3.741306E+00 | grad norm: 0.802 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.031 | TFLOPs: 28.60 | 7: iteration 890/ 21553 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.692436E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.351 | TFLOPs: 28.68 | 7: iteration 900/ 21553 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.666847E+00 | grad norm: 0.728 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.310 | TFLOPs: 28.68 | 7: iteration 910/ 21553 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.686845E+00 | grad norm: 0.684 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.622 | TFLOPs: 29.18 | 7: iteration 920/ 21553 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.693575E+00 | grad norm: 0.964 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.770 | TFLOPs: 29.12 | 7: iteration 930/ 21553 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.633797E+00 | grad norm: 0.791 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.835 | TFLOPs: 29.26 | 7: iteration 940/ 21553 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.618401E+00 | grad norm: 0.656 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.994 | TFLOPs: 28.60 | 7: iteration 950/ 21553 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.32 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.636838E+00 | grad norm: 0.938 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.472 | TFLOPs: 28.16 | 7: iteration 960/ 21553 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.612357E+00 | grad norm: 0.745 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.916 | TFLOPs: 28.70 | 7: iteration 970/ 21553 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.611376E+00 | grad norm: 0.943 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.134 | TFLOPs: 29.10 | 7: iteration 980/ 21553 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.556848E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.571 | TFLOPs: 29.29 | 7: iteration 990/ 21553 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.30 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.575815E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.527 | TFLOPs: 29.53 | 7: iteration 1000/ 21553 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.556643E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.597 | TFLOPs: 29.08 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 3.494752E+00 | lm loss PPL: 3.294212E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_146m 0: [2022-11-25 17:37:45,004] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-25 17:37:45,039] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-25 17:37:45,184] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-25 17:37:45,536] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-25 17:37:45,536] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-25 17:37:45,536] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-25 17:37:45,537] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-25 17:37:45,537] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:37:45,541] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 17:37:45,541] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 17:37:45,541] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 17:37:45,541] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step1000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-25 17:37:45,541] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[2022-11-25 17:37:45,564] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_146m 7: time (ms) | save-checkpoint: 572.97 7: iteration 1010/ 21553 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.38 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.587636E+00 | grad norm: 0.722 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 671.900 | TFLOPs: 23.52 | 7: iteration 1020/ 21553 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.30 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.550388E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.403 | TFLOPs: 29.53 | 7: iteration 1030/ 21553 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.541209E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.636 | TFLOPs: 29.29 | 7: iteration 1040/ 21553 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.32 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.588026E+00 | grad norm: 0.792 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.211 | TFLOPs: 28.29 | 7: iteration 1050/ 21553 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.567970E+00 | grad norm: 0.771 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.875 | TFLOPs: 28.98 | 7: iteration 1060/ 21553 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.30 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.521017E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.886 | TFLOPs: 29.72 | 7: iteration 1070/ 21553 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.511333E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.484 | TFLOPs: 29.35 | 7: iteration 1080/ 21553 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.32 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.458138E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.386 | TFLOPs: 28.19 | 7: iteration 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| TFLOPs: 28.17 | 7: iteration 1120/ 21553 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.32 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.505001E+00 | grad norm: 0.743 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.878 | TFLOPs: 28.39 | 7: iteration 1130/ 21553 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.34 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.505209E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 757.509 | TFLOPs: 26.52 | 7: iteration 1140/ 21553 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.458722E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.810 | TFLOPs: 29.36 | 7: iteration 1150/ 21553 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.490778E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.485 | TFLOPs: 28.69 | 7: iteration 1160/ 21553 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.469584E+00 | grad norm: 0.717 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.764 | TFLOPs: 29.26 | 7: iteration 1170/ 21553 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.472331E+00 | grad norm: 0.872 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.432 | TFLOPs: 28.83 | 7: iteration 1180/ 21553 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.488086E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.411 | TFLOPs: 29.14 | 7: iteration 1190/ 21553 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.485135E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.435 | TFLOPs: 28.97 | 7: iteration 1200/ 21553 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.30 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.452738E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.661 | TFLOPs: 29.67 | 7: iteration 1210/ 21553 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.33 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.441208E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.923 | TFLOPs: 27.48 | 7: iteration 1220/ 21553 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.31 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.379491E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.936 | TFLOPs: 28.95 | 7: iteration 1230/ 21553 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.31 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.444969E+00 | grad norm: 0.722 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.298 | TFLOPs: 28.93 | 7: iteration 1240/ 21553 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.31 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.413920E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.272 | TFLOPs: 28.93 | 7: iteration 1250/ 21553 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.30 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.414559E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.835 | TFLOPs: 29.44 | 7: iteration 1260/ 21553 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.30 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.353938E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.150 | TFLOPs: 29.41 | 7: iteration 1270/ 21553 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.30 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.414031E+00 | grad norm: 0.667 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.749 | TFLOPs: 29.43 | 7: iteration 1280/ 21553 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.30 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.415719E+00 | grad norm: 0.664 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.779 | TFLOPs: 29.50 | 7: iteration 1290/ 21553 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.295724E+00 | grad norm: 0.606 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.367 | TFLOPs: 28.65 | 7: iteration 1300/ 21553 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.30 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.378904E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.549 | TFLOPs: 29.64 | 7: iteration 1310/ 21553 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.30 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.356820E+00 | grad norm: 0.592 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.069 | TFLOPs: 29.72 | 7: iteration 1320/ 21553 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.31 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.354152E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.015 | TFLOPs: 28.71 | 7: iteration 1330/ 21553 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.31 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.357187E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.153 | TFLOPs: 28.96 | 7: iteration 1340/ 21553 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.30 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.367592E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.415 | TFLOPs: 29.56 | 7: iteration 1350/ 21553 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.30 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.343414E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.577 | TFLOPs: 29.50 | 7: iteration 1360/ 21553 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.305142E+00 | grad norm: 0.679 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.745 | TFLOPs: 28.77 | 7: iteration 1370/ 21553 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.343846E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.225 | TFLOPs: 29.34 | 7: iteration 1380/ 21553 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.345867E+00 | grad norm: 0.709 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.245 | TFLOPs: 28.64 | 7: iteration 1390/ 21553 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.340464E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.401 | TFLOPs: 28.90 | 7: iteration 1400/ 21553 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.30 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.377070E+00 | grad norm: 0.572 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.562 | TFLOPs: 29.60 | 7: iteration 1410/ 21553 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.31 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.335453E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.911 | TFLOPs: 28.81 | 7: iteration 1420/ 21553 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.30 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.284750E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.050 | TFLOPs: 29.55 | 7: iteration 1430/ 21553 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.31 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.288171E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.999 | TFLOPs: 28.74 | 7: iteration 1440/ 21553 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.30 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.318149E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.497 | TFLOPs: 29.67 | 7: iteration 1450/ 21553 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.31 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.307382E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.601 | TFLOPs: 28.97 | 7: iteration 1460/ 21553 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.31 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.323151E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.782 | TFLOPs: 28.59 | 7: iteration 1470/ 21553 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.32 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.286049E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.172 | TFLOPs: 27.91 | 7: iteration 1480/ 21553 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.30 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.307124E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.931 | TFLOPs: 29.54 | 7: iteration 1490/ 21553 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.30 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.320826E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.148 | TFLOPs: 29.73 | 7: iteration 1500/ 21553 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.296010E+00 | grad norm: 0.802 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.290 | TFLOPs: 29.10 | 7: iteration 1510/ 21553 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.307404E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.332 | TFLOPs: 29.31 | 7: iteration 1520/ 21553 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.31 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.301585E+00 | grad norm: 0.831 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.682 | TFLOPs: 29.04 | 7: iteration 1530/ 21553 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.31 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.285704E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.957 | TFLOPs: 28.84 | 7: iteration 1540/ 21553 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.31 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.299588E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.244 | TFLOPs: 29.38 | 7: iteration 1550/ 21553 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.31 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.268024E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.136 | TFLOPs: 28.50 | 7: iteration 1560/ 21553 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.246824E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.665 | TFLOPs: 28.80 | 7: iteration 1570/ 21553 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.238808E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.616 | TFLOPs: 29.29 | 7: iteration 1580/ 21553 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.268457E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.356 | TFLOPs: 28.68 | 7: iteration 1590/ 21553 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.30 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.271099E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.155 | TFLOPs: 29.45 | 7: iteration 1600/ 21553 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.31 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.242576E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.504 | TFLOPs: 28.97 | 7: iteration 1610/ 21553 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.30 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.222989E+00 | grad norm: 0.605 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.384 | TFLOPs: 29.56 | 7: iteration 1620/ 21553 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.32 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.222706E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 788.890 | TFLOPs: 27.62 | 7: iteration 1630/ 21553 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.31 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.237730E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.691 | TFLOPs: 29.33 | 7: iteration 1640/ 21553 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.32 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.212426E+00 | grad norm: 0.662 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.120 | TFLOPs: 28.40 | 7: iteration 1650/ 21553 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.33 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.276519E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 781.023 | TFLOPs: 27.34 | 7: iteration 1660/ 21553 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.31 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.196770E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.799 | TFLOPs: 29.26 | 7: iteration 1670/ 21553 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.31 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.230863E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.709 | TFLOPs: 28.66 | 7: iteration 1680/ 21553 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.30 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.206603E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.077 | TFLOPs: 29.44 | 7: iteration 1690/ 21553 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.31 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.259213E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.396 | TFLOPs: 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samples per second: 823.052 | TFLOPs: 28.81 | 7: iteration 1730/ 21553 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.30 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.201115E+00 | grad norm: 0.727 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.384 | TFLOPs: 29.42 | 7: iteration 1740/ 21553 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.31 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.249291E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.503 | TFLOPs: 28.93 | 7: iteration 1750/ 21553 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.30 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.212261E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.085 | TFLOPs: 29.51 | 7: iteration 1760/ 21553 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.31 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.222628E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.917 | TFLOPs: 29.09 | 7: iteration 1770/ 21553 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.31 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.186160E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.302 | TFLOPs: 28.93 | 7: iteration 1780/ 21553 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.31 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.172374E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.943 | TFLOPs: 29.02 | 7: iteration 1790/ 21553 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.31 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.226737E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.896 | TFLOPs: 28.81 | 7: iteration 1800/ 21553 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.31 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.170218E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.980 | TFLOPs: 29.37 | 7: iteration 1810/ 21553 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.31 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.206316E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.325 | TFLOPs: 28.75 | 7: iteration 1820/ 21553 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.30 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.182804E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.465 | TFLOPs: 29.81 | 7: iteration 1830/ 21553 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.30 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.169984E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.671 | TFLOPs: 29.57 | 7: iteration 1840/ 21553 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 0.31 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.169182E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.283 | TFLOPs: 28.86 | 7: iteration 1850/ 21553 | consumed samples: 473600 | consumed tokens: 969932800 | elapsed time per iteration (s): 0.30 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.177455E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.909 | TFLOPs: 29.61 | 7: iteration 1860/ 21553 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 0.31 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.135427E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.328 | TFLOPs: 29.14 | 7: iteration 1870/ 21553 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.31 | learning rate: 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consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.31 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.176503E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.410 | TFLOPs: 28.65 | 7: iteration 1970/ 21553 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.30 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.176288E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.491 | TFLOPs: 29.60 | 7: iteration 1980/ 21553 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.30 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.142701E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.718 | TFLOPs: 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------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 3.029966E+00 | lm loss PPL: 2.069654E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_146m 0: [2022-11-25 17:42:54,422] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-25 17:42:54,425] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-25 17:42:54,508] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/layer_01-model_00-model_states.pt. 0: [2022-11-25 17:42:54,509] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step2000/layer_03-model_00-model_states.pt... 0: [2022-11-25 17:42:54,524] [INFO] 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[2022-11-25 17:42:54,785] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-25 17:42:54,785] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-25 17:42:54,786] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-25 17:42:54,786] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 3: [2022-11-25 17:42:54,786] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-25 17:42:54,786] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m/global_step2000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-25 17:42:54,790] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-25 17:42:54,790] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-25 17:42:54,790] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-25 17:42:54,790] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 17:42:54,790] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 17:42:54,789] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146m/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-25 17:42:54,790] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-25 17:42:54,793] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:42:54,793] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-25 17:42:54,793] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-25 17:42:54,793] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:42:54,793] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-25 17:42:54,793] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-25 17:42:54,793] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:42:54,793] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 17:42:54,793] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-25 17:42:54,795] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:42:54,795] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-25 17:42:54,796] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-25 17:42:54,804] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:42:54,804] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-25 17:42:54,804] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-25 17:42:54,813] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 17:42:54,813] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-25 17:42:54,815] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:42:54,815] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 17:42:54,815] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-25 17:42:54,824] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:42:54,824] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 17:42:54,824] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_146m 7: time (ms) | save-checkpoint: 407.42 7: iteration 2010/ 21553 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.36 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.172287E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 710.599 | TFLOPs: 24.88 | 7: iteration 2020/ 21553 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.30 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.183387E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.727 | TFLOPs: 29.47 | 7: iteration 2030/ 21553 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.30 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.104433E+00 | grad norm: 0.778 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.066 | TFLOPs: 29.55 | 7: iteration 2040/ 21553 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.31 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.136581E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.744 | TFLOPs: 29.22 | 7: iteration 2050/ 21553 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.30 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.159616E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.569 | TFLOPs: 29.39 | 7: iteration 2060/ 21553 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.30 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.128757E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.678 | TFLOPs: 29.50 | 7: iteration 2070/ 21553 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.31 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.105647E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.756 | TFLOPs: 28.73 | 7: iteration 2080/ 21553 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.31 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.128176E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.712 | TFLOPs: 29.29 | 7: iteration 2090/ 21553 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.31 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.118604E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.882 | TFLOPs: 29.30 | 7: iteration 2100/ 21553 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.31 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.108379E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.871 | TFLOPs: 28.60 | 7: iteration 2110/ 21553 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.31 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.092039E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.782 | TFLOPs: 29.01 | 7: iteration 2120/ 21553 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.32 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.111482E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.008 | TFLOPs: 28.15 | 7: iteration 2130/ 21553 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.31 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.111909E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.207 | TFLOPs: 28.78 | 7: iteration 2140/ 21553 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.31 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.105052E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.999 | TFLOPs: 29.20 | 7: iteration 2150/ 21553 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.31 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.093842E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.863 | TFLOPs: 28.63 | 7: iteration 2160/ 21553 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.31 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.098286E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.512 | TFLOPs: 29.00 | 7: iteration 2170/ 21553 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.31 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.116716E+00 | grad norm: 0.573 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.191 | TFLOPs: 28.57 | 7: iteration 2180/ 21553 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.31 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.124041E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.819 | TFLOPs: 29.36 | 7: iteration 2190/ 21553 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.33 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.097311E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 777.831 | TFLOPs: 27.23 | 7: iteration 2200/ 21553 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.31 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.120233E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.607 | TFLOPs: 29.04 | 7: iteration 2210/ 21553 | consumed samples: 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iteration 2240/ 21553 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.31 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.118276E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.300 | TFLOPs: 29.24 | 7: iteration 2250/ 21553 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.31 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.078548E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.671 | TFLOPs: 28.55 | 7: iteration 2260/ 21553 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.31 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.043895E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.250 | TFLOPs: 28.96 | 7: iteration 2270/ 21553 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.32 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.046649E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.619 | TFLOPs: 27.92 | 7: iteration 2280/ 21553 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.33 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.071298E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.033 | TFLOPs: 27.52 | 7: iteration 2290/ 21553 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.31 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.103015E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.019 | TFLOPs: 28.74 | 7: iteration 2300/ 21553 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.31 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.077860E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.811 | TFLOPs: 29.19 | 7: iteration 2310/ 21553 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.31 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.098472E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.416 | TFLOPs: 28.69 | 7: iteration 2320/ 21553 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.31 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.091747E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.277 | TFLOPs: 28.82 | 7: iteration 2330/ 21553 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.31 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.018003E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.246 | TFLOPs: 28.82 | 7: iteration 2340/ 21553 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.31 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.033192E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.645 | TFLOPs: 29.15 | 7: iteration 2350/ 21553 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.31 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.062652E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.983 | TFLOPs: 28.88 | 7: iteration 2360/ 21553 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.32 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.081550E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.546 | TFLOPs: 28.34 | 7: iteration 2370/ 21553 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.30 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.090641E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.041 | TFLOPs: 29.58 | 7: iteration 2380/ 21553 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.31 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.071224E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.059 | TFLOPs: 28.71 | 7: iteration 2390/ 21553 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.30 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.060693E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.870 | TFLOPs: 29.75 | 7: iteration 2400/ 21553 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.31 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.104784E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.906 | TFLOPs: 29.09 | 7: iteration 2410/ 21553 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.31 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.067302E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.537 | TFLOPs: 29.04 | 7: iteration 2420/ 21553 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.30 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.056548E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.382 | TFLOPs: 29.52 | 7: iteration 2430/ 21553 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.30 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.061819E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.725 | TFLOPs: 29.40 | 7: iteration 2440/ 21553 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.30 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.033047E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.792 | TFLOPs: 29.43 | 7: iteration 2450/ 21553 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.31 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.056227E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.504 | TFLOPs: 28.72 | 7: iteration 2460/ 21553 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.30 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.081287E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.020 | TFLOPs: 29.65 | 7: iteration 2470/ 21553 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.31 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.046768E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.092 | TFLOPs: 28.88 | 7: iteration 2480/ 21553 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.31 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.026620E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.783 | TFLOPs: 28.77 | 7: iteration 2490/ 21553 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.30 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.024126E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.478 | TFLOPs: 29.84 | 7: iteration 2500/ 21553 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.30 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.054005E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.217 | TFLOPs: 29.41 | 7: iteration 2510/ 21553 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.31 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.067900E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.479 | TFLOPs: 28.83 | 7: iteration 2520/ 21553 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.30 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.019973E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.713 | TFLOPs: 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| elapsed time per iteration (s): 0.31 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.991223E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.131 | TFLOPs: 29.27 | 7: iteration 2740/ 21553 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.31 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.965120E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.896 | TFLOPs: 29.09 | 7: iteration 2750/ 21553 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.31 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.975767E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.385 | TFLOPs: 29.21 | 7: iteration 2760/ 21553 | consumed samples: 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256 | lm loss: 2.938729E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.409 | TFLOPs: 29.04 | 7: iteration 2940/ 21553 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.30 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.950155E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.019 | TFLOPs: 29.48 | 7: iteration 2950/ 21553 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.31 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.943657E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.322 | TFLOPs: 29.38 | 7: iteration 2960/ 21553 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.31 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.996088E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.125 | TFLOPs: 28.89 | 7: iteration 2970/ 21553 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.31 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 3.006113E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.344 | TFLOPs: 29.03 | 7: iteration 2980/ 21553 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.30 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 2.979245E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.585 | TFLOPs: 29.74 | 7: iteration 2990/ 21553 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.30 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 2.967761E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.339 | TFLOPs: 29.42 | 7: iteration 3000/ 21553 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.30 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 2.968310E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.593 | TFLOPs: 29.74 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 2.899935E+00 | lm loss PPL: 1.817297E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_146m 0: [2022-11-25 17:48:03,763] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-25 17:48:03,768] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-25 17:48:03,852] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/layer_01-model_00-model_states.pt. 0: [2022-11-25 17:48:03,852] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step3000/layer_03-model_00-model_states.pt... 0: [2022-11-25 17:48:03,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/layer_03-model_00-model_states.pt. 0: [2022-11-25 17:48:03,868] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step3000/layer_04-model_00-model_states.pt... 0: [2022-11-25 17:48:03,882] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/layer_04-model_00-model_states.pt. 0: 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-25 17:48:04,127] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-25 17:48:04,128] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-25 17:48:04,128] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 3: [2022-11-25 17:48:04,128] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 6: [2022-11-25 17:48:04,128] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-25 17:48:04,128] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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0: [2022-11-25 17:48:04,129] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-25 17:48:04,129] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-25 17:48:04,129] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 17:48:04,129] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 5: [2022-11-25 17:48:04,129] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-25 17:48:04,130] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-25 17:48:04,130] [INFO] 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checkpoints_146m/global_step3000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:48:04,137] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-25 17:48:04,137] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 17:48:04,137] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-25 17:48:04,137] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:48:04,138] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 3: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:48:04,138] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-25 17:48:04,138] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 1: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:27:commit] 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0: [2022-11-25 17:48:04,139] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 2: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 4: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-25 17:48:04,138] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-25 17:48:04,138] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 2: [2022-11-25 17:48:04,138] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 2: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-25 17:48:04,138] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-25 17:48:04,139] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[2022-11-25 17:48:04,143] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-25 17:48:04,143] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-25 17:48:04,143] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2022-11-25 17:48:04,145] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:48:04,145] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-25 17:48:04,145] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2022-11-25 17:48:04,158] [INFO] 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checkpoint saved checkpoints_146m/global_step3000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 17:48:04,164] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: successfully saved checkpoint at iteration 3000 to checkpoints_146m 7: time (ms) | save-checkpoint: 405.37 7: iteration 3010/ 21553 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.35 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 2.950051E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 730.136 | TFLOPs: 25.56 | 7: iteration 3020/ 21553 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.30 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 2.969198E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.804 | TFLOPs: 29.47 | 7: iteration 3030/ 21553 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.30 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 2.921142E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.519 | TFLOPs: 29.56 | 7: iteration 3040/ 21553 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.31 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 2.963983E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.559 | TFLOPs: 28.55 | 7: iteration 3050/ 21553 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.31 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 2.975103E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.346 | TFLOPs: 28.93 | 7: iteration 3060/ 21553 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.31 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 2.990630E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.661 | TFLOPs: 28.52 | 7: iteration 3070/ 21553 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.31 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 2.993185E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.470 | TFLOPs: 29.04 | 7: iteration 3080/ 21553 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.30 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 2.956224E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.041 | TFLOPs: 30.14 | 7: iteration 3090/ 21553 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.33 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 2.957062E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 775.357 | TFLOPs: 27.14 | 7: iteration 3100/ 21553 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.30 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 2.989873E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.447 | TFLOPs: 29.67 | 7: iteration 3110/ 21553 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.31 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 2.921026E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.624 | TFLOPs: 28.76 | 7: iteration 3120/ 21553 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.31 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.964222E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.123 | TFLOPs: 28.50 | 7: iteration 3130/ 21553 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.30 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.959863E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.147 | TFLOPs: 29.66 | 7: iteration 3140/ 21553 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.30 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.925544E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.485 | TFLOPs: 29.46 | 7: iteration 3150/ 21553 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.32 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.968598E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.496 | TFLOPs: 27.67 | 7: iteration 3160/ 21553 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.33 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.919261E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 776.757 | TFLOPs: 27.19 | 7: iteration 3170/ 21553 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.31 | learning rate: 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iteration (s): 0.31 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 2.916852E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.196 | TFLOPs: 28.99 | 7: iteration 3210/ 21553 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.31 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.966151E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.573 | TFLOPs: 28.69 | 7: iteration 3220/ 21553 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.31 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 2.925952E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.582 | TFLOPs: 29.11 | 7: iteration 3230/ 21553 | consumed samples: 826880 | consumed 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samples per second: 836.794 | TFLOPs: 29.29 | 7: iteration 3320/ 21553 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.30 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 2.948522E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.039 | TFLOPs: 29.44 | 7: iteration 3330/ 21553 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.31 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 2.961921E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.128 | TFLOPs: 28.92 | 7: iteration 3340/ 21553 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.31 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 2.953861E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.638 | TFLOPs: 29.11 | 7: iteration 3350/ 21553 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.30 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 2.940591E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.198 | TFLOPs: 29.45 | 7: iteration 3360/ 21553 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.31 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 2.930783E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.934 | TFLOPs: 28.77 | 7: iteration 3370/ 21553 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.31 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 2.951601E+00 | grad norm: 0.387 | num zeros: 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2.899094E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.551 | TFLOPs: 29.39 | 7: iteration 3410/ 21553 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.30 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 2.962174E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.029 | TFLOPs: 29.51 | 7: iteration 3420/ 21553 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.31 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 2.947670E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.377 | TFLOPs: 29.03 | 7: iteration 3430/ 21553 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.31 | learning rate: 1.901E-04 | 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| elapsed time per iteration (s): 0.30 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.905516E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.288 | TFLOPs: 29.73 | 7: iteration 3500/ 21553 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.30 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.903256E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.981 | TFLOPs: 29.48 | 7: iteration 3510/ 21553 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.31 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 2.916640E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.343 | TFLOPs: 28.96 | 7: iteration 3520/ 21553 | consumed samples: 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iteration 3550/ 21553 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.30 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.905687E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.033 | TFLOPs: 29.69 | 7: iteration 3560/ 21553 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.31 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.927895E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.411 | TFLOPs: 28.62 | 7: iteration 3570/ 21553 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.31 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 2.910737E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.130 | TFLOPs: 28.78 | 7: iteration 3580/ 21553 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.30 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 2.924767E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.028 | TFLOPs: 29.41 | 7: iteration 3590/ 21553 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.31 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 2.880490E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.199 | TFLOPs: 28.96 | 7: iteration 3600/ 21553 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.31 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 2.898811E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.395 | TFLOPs: 29.31 | 7: iteration 3610/ 21553 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.30 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 2.921773E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.730 | TFLOPs: 29.75 | 7: iteration 3620/ 21553 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.31 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 2.887211E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.604 | TFLOPs: 28.94 | 7: iteration 3630/ 21553 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.31 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 2.917323E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.820 | TFLOPs: 28.70 | 7: iteration 3640/ 21553 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.32 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.927448E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.164 | TFLOPs: 28.40 | 7: iteration 3650/ 21553 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.32 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.886488E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.480 | TFLOPs: 27.64 | 7: iteration 3660/ 21553 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.31 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.890004E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.130 | TFLOPs: 29.03 | 7: iteration 3670/ 21553 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.30 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 2.885680E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.899 | TFLOPs: 29.75 | 7: iteration 3680/ 21553 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.31 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.920539E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.792 | TFLOPs: 29.15 | 7: iteration 3690/ 21553 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.30 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.916620E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.135 | TFLOPs: 29.62 | 7: iteration 3700/ 21553 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.30 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 2.890701E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.063 | TFLOPs: 29.90 | 7: iteration 3710/ 21553 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.30 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.901863E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.322 | TFLOPs: 29.42 | 7: iteration 3720/ 21553 | consumed samples: 952320 | consumed tokens: 1950351360 | elapsed time per iteration (s): 0.31 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.911006E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.445 | TFLOPs: 28.79 | 7: iteration 3730/ 21553 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 0.31 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.901950E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.559 | TFLOPs: 29.15 | 7: iteration 3740/ 21553 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.31 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.882027E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.856 | TFLOPs: 29.30 | 7: iteration 3750/ 21553 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.31 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 2.918670E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.812 | TFLOPs: 28.73 | 7: iteration 3760/ 21553 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.31 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 2.865446E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.975 | TFLOPs: 28.88 | 7: iteration 3770/ 21553 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.30 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 2.892307E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.820 | TFLOPs: 29.50 | 7: iteration 3780/ 21553 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.30 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 2.889087E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.509 | TFLOPs: 30.02 | 7: iteration 3790/ 21553 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.31 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.899759E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.298 | TFLOPs: 29.24 | 7: iteration 3800/ 21553 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.31 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.899917E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.986 | TFLOPs: 29.37 | 7: iteration 3810/ 21553 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.31 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 2.888702E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.943 | TFLOPs: 29.02 | 7: iteration 3820/ 21553 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.31 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.902851E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.552 | TFLOPs: 28.97 | 7: iteration 3830/ 21553 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.32 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.918756E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.194 | TFLOPs: 28.40 | 7: iteration 3840/ 21553 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.30 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 2.884877E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.016 | TFLOPs: 29.79 | 7: iteration 3850/ 21553 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.31 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.856776E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.731 | TFLOPs: 28.73 | 7: iteration 3860/ 21553 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.31 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.878135E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.410 | TFLOPs: 29.25 | 7: iteration 3870/ 21553 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.30 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 2.845122E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.718 | TFLOPs: 29.75 | 7: iteration 3880/ 21553 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.30 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.900443E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.433 | TFLOPs: 29.53 | 7: iteration 3890/ 21553 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.30 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.902424E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.290 | TFLOPs: 29.77 | 7: iteration 3900/ 21553 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.31 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.863014E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.127 | TFLOPs: 28.89 | 7: iteration 3910/ 21553 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.32 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 2.884337E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.106 | TFLOPs: 28.36 | 7: iteration 3920/ 21553 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.30 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.860880E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.607 | TFLOPs: 29.92 | 7: iteration 3930/ 21553 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.30 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.908115E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.438 | TFLOPs: 29.88 | 7: iteration 3940/ 21553 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.30 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.841665E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.566 | TFLOPs: 29.46 | 7: iteration 3950/ 21553 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.30 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.868883E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.458 | TFLOPs: 29.74 | 7: iteration 3960/ 21553 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.30 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.842285E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.624 | TFLOPs: 29.95 | 7: iteration 3970/ 21553 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.31 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 2.904199E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.712 | TFLOPs: 29.15 | 7: iteration 3980/ 21553 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.30 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.879470E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.447 | TFLOPs: 29.39 | 7: iteration 3990/ 21553 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.31 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.895018E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.202 | TFLOPs: 29.38 | 0: [2022-11-25 17:53:11,275] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00018638652011758862, 0.00018638652011758862, 0.00018638652011758862], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 21553 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.30 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 2.850764E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.273 | TFLOPs: 29.45 | 0: steps: 4000 loss: 2.8028 iter time (s): 0.305 samples/sec: 837.979 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 2.918512E+00 | lm loss PPL: 1.851371E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_146m 0: [2022-11-25 17:53:11,430] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-25 17:53:11,434] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-25 17:53:11,555] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step4000/layer_01-model_00-model_states.pt. 0: [2022-11-25 17:53:11,556] [INFO] 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checkpoints_146m/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 4: [2022-11-25 17:53:11,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 1: [2022-11-25 17:53:11,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 6: [2022-11-25 17:53:11,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 0: [2022-11-25 17:53:11,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 4: [2022-11-25 17:53:11,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-25 17:53:11,934] [INFO] [torch_checkpoint_engine.py:27:commit] 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0: [2022-11-25 17:53:11,954] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 17:53:11,969] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:53:11,969] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 17:53:11,969] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 17:53:11,973] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:53:11,973] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-25 17:53:11,974] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_146m 7: time (ms) | save-checkpoint: 548.64 4: [2022-11-25 17:53:11,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-25 17:53:11,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-25 17:53:11,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-25 17:53:11,940] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-25 17:53:11,940] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step4000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-25 17:53:11,940] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: iteration 4010/ 21553 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.37 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 2.861959E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 695.228 | TFLOPs: 24.34 | 7: iteration 4020/ 21553 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.31 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 2.894744E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.102 | TFLOPs: 29.37 | 7: iteration 4030/ 21553 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.30 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 2.862086E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.516 | TFLOPs: 29.49 | 7: iteration 4040/ 21553 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.30 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 2.832657E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.010 | TFLOPs: 29.41 | 7: iteration 4050/ 21553 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.30 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 2.843352E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.513 | TFLOPs: 29.63 | 7: iteration 4060/ 21553 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.32 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 2.886456E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.396 | TFLOPs: 28.05 | 7: iteration 4070/ 21553 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.31 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 2.894281E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.679 | TFLOPs: 28.90 | 7: iteration 4080/ 21553 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.31 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 2.864436E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.518 | TFLOPs: 28.97 | 7: iteration 4090/ 21553 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.31 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 2.870896E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.802 | TFLOPs: 28.49 | 7: iteration 4100/ 21553 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.31 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 2.862360E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.663 | TFLOPs: 29.18 | 7: iteration 4110/ 21553 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.31 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 2.827076E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.000 | TFLOPs: 28.67 | 7: iteration 4120/ 21553 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.31 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 2.821296E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.541 | TFLOPs: 28.69 | 7: iteration 4130/ 21553 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.33 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 2.826405E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 778.481 | TFLOPs: 27.25 | 7: iteration 4140/ 21553 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.33 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 2.846785E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.962 | TFLOPs: 27.48 | 7: iteration 4150/ 21553 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.30 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 2.861586E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.638 | TFLOPs: 29.67 | 7: iteration 4160/ 21553 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.30 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 2.859305E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.794 | TFLOPs: 29.43 | 7: iteration 4170/ 21553 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.31 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 2.834217E+00 | grad norm: 0.348 | num zeros: 0.0 | number of 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norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.598 | TFLOPs: 29.22 | 7: iteration 4210/ 21553 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.31 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.851560E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.499 | TFLOPs: 29.21 | 7: iteration 4220/ 21553 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.30 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.869952E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.361 | TFLOPs: 29.49 | 7: iteration 4230/ 21553 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.31 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 2.851041E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.683 | TFLOPs: 29.32 | 7: iteration 4240/ 21553 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.30 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 2.848520E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.360 | TFLOPs: 30.01 | 7: iteration 4250/ 21553 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.31 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.828146E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.590 | TFLOPs: 29.08 | 7: iteration 4260/ 21553 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.30 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.855270E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.958 | TFLOPs: 29.68 | 7: iteration 4270/ 21553 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.31 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 2.812370E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.378 | TFLOPs: 29.03 | 7: iteration 4280/ 21553 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.30 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 2.850959E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.269 | TFLOPs: 29.45 | 7: iteration 4290/ 21553 | consumed samples: 1098240 | consumed tokens: 2249195520 | 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iteration 4350/ 21553 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.31 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.845146E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.798 | TFLOPs: 29.12 | 7: iteration 4360/ 21553 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.31 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.836543E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.868 | TFLOPs: 28.77 | 7: iteration 4370/ 21553 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.31 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 2.871127E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.464 | TFLOPs: 29.07 | 7: iteration 4380/ 21553 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.31 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.832903E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.905 | TFLOPs: 29.37 | 7: iteration 4390/ 21553 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.31 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.867123E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.628 | TFLOPs: 29.08 | 7: iteration 4400/ 21553 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.31 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.845667E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.486 | TFLOPs: 29.21 | 7: iteration 4410/ 21553 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.31 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 2.819373E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.845 | TFLOPs: 29.37 | 7: iteration 4420/ 21553 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.31 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.832657E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.888 | TFLOPs: 28.56 | 7: iteration 4430/ 21553 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.31 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 2.807343E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.641 | TFLOPs: 29.32 | 7: iteration 4440/ 21553 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.30 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.843810E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.845 | TFLOPs: 29.96 | 7: iteration 4450/ 21553 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.31 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.847478E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.767 | TFLOPs: 29.33 | 7: iteration 4460/ 21553 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.30 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 2.779046E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.335 | TFLOPs: 29.91 | 7: iteration 4470/ 21553 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.31 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.822653E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.528 | TFLOPs: 29.07 | 7: iteration 4480/ 21553 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.31 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 2.841912E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.602 | TFLOPs: 29.36 | 7: iteration 4490/ 21553 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.30 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 2.796008E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.604 | TFLOPs: 29.50 | 7: iteration 4500/ 21553 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.31 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 2.829115E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.719 | TFLOPs: 29.19 | 7: iteration 4510/ 21553 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.31 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.807838E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.395 | TFLOPs: 28.82 | 7: iteration 4520/ 21553 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.30 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 2.833880E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.931 | TFLOPs: 29.40 | 7: iteration 4530/ 21553 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.31 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.856962E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.546 | TFLOPs: 28.87 | 7: iteration 4540/ 21553 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.31 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.837911E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.823 | TFLOPs: 29.33 | 7: iteration 4550/ 21553 | consumed samples: 1164800 | consumed 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consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.33 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.833770E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 779.965 | TFLOPs: 27.30 | 7: iteration 4590/ 21553 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.30 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.782914E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.690 | TFLOPs: 29.57 | 7: iteration 4600/ 21553 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.31 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 2.850486E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.252 | TFLOPs: 29.13 | 7: iteration 4610/ 21553 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.30 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 2.820421E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.338 | TFLOPs: 29.66 | 7: iteration 4620/ 21553 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.31 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.826736E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.248 | TFLOPs: 29.10 | 7: iteration 4630/ 21553 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.32 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 2.842763E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.228 | TFLOPs: 28.12 | 7: iteration 4640/ 21553 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.31 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 2.855034E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.337 | TFLOPs: 29.28 | 7: iteration 4650/ 21553 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.31 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 2.811374E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.516 | TFLOPs: 28.76 | 7: iteration 4660/ 21553 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.31 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.810006E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.112 | TFLOPs: 29.20 | 7: iteration 4670/ 21553 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.31 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 2.789421E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.481 | TFLOPs: 29.00 | 7: iteration 4680/ 21553 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.30 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 2.808827E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.628 | TFLOPs: 29.81 | 7: iteration 4690/ 21553 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 0.31 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 2.834137E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.862 | TFLOPs: 29.02 | 7: iteration 4700/ 21553 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 0.31 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 2.816044E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.050 | TFLOPs: 29.02 | 7: iteration 4710/ 21553 | consumed samples: 1205760 | consumed tokens: 2469396480 | elapsed time per iteration (s): 0.31 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 2.792964E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.404 | TFLOPs: 29.14 | 7: iteration 4720/ 21553 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 0.31 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 2.812360E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.576 | TFLOPs: 29.29 | 7: iteration 4730/ 21553 | consumed samples: 1210880 | consumed tokens: 2479882240 | elapsed time per iteration (s): 0.31 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.786519E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.189 | TFLOPs: 29.06 | 7: iteration 4740/ 21553 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.31 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.810740E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.782 | TFLOPs: 29.01 | 7: iteration 4750/ 21553 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.30 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 2.803187E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.858 | TFLOPs: 29.61 | 7: iteration 4760/ 21553 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.30 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 2.811773E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.963 | TFLOPs: 29.54 | 7: iteration 4770/ 21553 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.31 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 2.839690E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.216 | TFLOPs: 28.92 | 7: iteration 4780/ 21553 | consumed samples: 1223680 | consumed tokens: 2506096640 | 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1.787E-04 | global batch size: 256 | lm loss: 2.806308E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.020 | TFLOPs: 29.58 | 7: iteration 4990/ 21553 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.30 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 2.783210E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.198 | TFLOPs: 29.41 | 7: iteration 5000/ 21553 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.30 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 2.779180E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.386 | TFLOPs: 30.08 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 2.795156E+00 | lm loss PPL: 1.636518E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_146m 0: [2022-11-25 17:58:19,428] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-25 17:58:19,433] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-25 17:58:19,515] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-25 17:58:19,515] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-25 17:58:19,531] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step5000/layer_03-model_00-model_states.pt. 0: 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checkpoint saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-25 17:58:19,811] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2022-11-25 17:58:19,811] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-25 17:58:19,822] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-25 17:58:19,822] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-25 17:58:19,822] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-25 17:58:19,823] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 17:58:19,823] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-25 17:58:19,831] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-25 17:58:19,831] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-25 17:58:19,831] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 17:58:19,837] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:58:19,837] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 17:58:19,837] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 17:58:19,842] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-25 17:58:19,842] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step5000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-25 17:58:19,843] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_146m 7: time (ms) | save-checkpoint: 419.70 7: iteration 5010/ 21553 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.35 | learning rate: 1.785E-04 | global batch size: 256 | lm loss: 2.789563E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 725.988 | TFLOPs: 25.41 | 7: iteration 5020/ 21553 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.30 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 2.768656E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.378 | TFLOPs: 29.52 | 7: iteration 5030/ 21553 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.31 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 2.783338E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.496 | TFLOPs: 28.76 | 7: iteration 5040/ 21553 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.30 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 2.762745E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.517 | TFLOPs: 29.46 | 7: iteration 5050/ 21553 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.31 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 2.756079E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.318 | TFLOPs: 28.82 | 7: iteration 5060/ 21553 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.31 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 2.764389E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.559 | TFLOPs: 28.97 | 7: iteration 5070/ 21553 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.31 | learning rate: 1.780E-04 | global batch size: 256 | lm loss: 2.786765E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.763 | TFLOPs: 28.77 | 7: iteration 5080/ 21553 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.30 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 2.810010E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.435 | TFLOPs: 29.39 | 7: iteration 5090/ 21553 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.30 | learning rate: 1.778E-04 | global batch size: 256 | lm loss: 2.785743E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.378 | TFLOPs: 29.38 | 7: iteration 5100/ 21553 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.30 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 2.816172E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.924 | TFLOPs: 30.00 | 7: iteration 5110/ 21553 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.30 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 2.795464E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.620 | TFLOPs: 29.67 | 7: iteration 5120/ 21553 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.32 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 2.799277E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.448 | TFLOPs: 28.27 | 7: iteration 5130/ 21553 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.31 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 2.798460E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.111 | TFLOPs: 28.99 | 7: iteration 5140/ 21553 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.31 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 2.784162E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.502 | TFLOPs: 29.11 | 7: iteration 5150/ 21553 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.30 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 2.798956E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.480 | TFLOPs: 29.42 | 7: iteration 5160/ 21553 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.30 | learning rate: 1.772E-04 | global batch size: 256 | lm loss: 2.799203E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.034 | TFLOPs: 29.72 | 7: iteration 5170/ 21553 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.31 | learning rate: 1.771E-04 | global batch size: 256 | lm loss: 2.783388E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.266 | TFLOPs: 29.35 | 7: iteration 5180/ 21553 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.30 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 2.788422E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.068 | TFLOPs: 29.72 | 7: iteration 5190/ 21553 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.30 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 2.766456E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.635 | TFLOPs: 29.57 | 7: iteration 5200/ 21553 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.31 | learning rate: 1.768E-04 | global batch size: 256 | lm loss: 2.779356E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.450 | TFLOPs: 29.07 | 7: iteration 5210/ 21553 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.30 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 2.758022E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.385 | TFLOPs: 29.94 | 7: iteration 5220/ 21553 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.31 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 2.768659E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.651 | TFLOPs: 29.29 | 7: iteration 5230/ 21553 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.31 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 2.809244E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.703 | TFLOPs: 29.19 | 7: iteration 5240/ 21553 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.31 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 2.763100E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.047 | TFLOPs: 28.99 | 7: iteration 5250/ 21553 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.31 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 2.788865E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.019 | TFLOPs: 29.02 | 7: iteration 5260/ 21553 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.31 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 2.803653E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.634 | TFLOPs: 28.73 | 7: iteration 5270/ 21553 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.31 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 2.740223E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.574 | TFLOPs: 28.80 | 7: iteration 5280/ 21553 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.30 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 2.794492E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.031 | TFLOPs: 29.79 | 7: iteration 5290/ 21553 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.30 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.757253E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.381 | TFLOPs: 29.73 | 7: iteration 5300/ 21553 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.30 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 2.761913E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.296 | TFLOPs: 29.52 | 7: iteration 5310/ 21553 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.30 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 2.801473E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.575 | TFLOPs: 29.85 | 7: iteration 5320/ 21553 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.31 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 2.772847E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.492 | TFLOPs: 28.90 | 7: iteration 5330/ 21553 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.31 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 2.777376E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.102 | TFLOPs: 29.34 | 7: iteration 5340/ 21553 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.30 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 2.802417E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.388 | TFLOPs: 29.73 | 7: iteration 5350/ 21553 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.31 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 2.748513E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.798 | TFLOPs: 29.33 | 7: iteration 5360/ 21553 | consumed samples: 1372160 | consumed 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consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.30 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 2.782843E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.720 | TFLOPs: 29.75 | 7: iteration 5400/ 21553 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.30 | learning rate: 1.750E-04 | global batch size: 256 | lm loss: 2.743900E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.182 | TFLOPs: 29.52 | 7: iteration 5410/ 21553 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.30 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 2.779528E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.442 | TFLOPs: 29.49 | 7: iteration 5420/ 21553 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.31 | learning rate: 1.748E-04 | global batch size: 256 | lm loss: 2.767011E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.209 | TFLOPs: 28.96 | 7: iteration 5430/ 21553 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.31 | learning rate: 1.748E-04 | global batch size: 256 | lm loss: 2.788924E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.993 | TFLOPs: 29.16 | 7: iteration 5440/ 21553 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.30 | learning rate: 1.747E-04 | global batch size: 256 | lm loss: 2.772049E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.335 | TFLOPs: 29.59 | 7: iteration 5450/ 21553 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.30 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 2.777849E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.654 | TFLOPs: 29.60 | 7: iteration 5460/ 21553 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.30 | learning rate: 1.745E-04 | global batch size: 256 | lm loss: 2.797121E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.540 | TFLOPs: 29.49 | 7: iteration 5470/ 21553 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.30 | learning rate: 1.744E-04 | global batch size: 256 | lm loss: 2.772616E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.642 | TFLOPs: 29.43 | 7: iteration 5480/ 21553 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.32 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 2.770176E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.933 | TFLOPs: 28.21 | 7: iteration 5490/ 21553 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.31 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 2.742739E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.606 | TFLOPs: 28.83 | 7: iteration 5500/ 21553 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.30 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 2.805213E+00 | grad 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size: 256 | lm loss: 2.767376E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.455 | TFLOPs: 28.65 | 7: iteration 5540/ 21553 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.31 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 2.809337E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.355 | TFLOPs: 28.61 | 7: iteration 5550/ 21553 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.30 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 2.775531E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.190 | TFLOPs: 29.45 | 7: iteration 5560/ 21553 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.31 | 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iteration (s): 0.31 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.780427E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.124 | TFLOPs: 28.75 | 7: iteration 5830/ 21553 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.31 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 2.747077E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.383 | TFLOPs: 29.28 | 7: iteration 5840/ 21553 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.30 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 2.763966E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.513 | TFLOPs: 29.77 | 7: iteration 5850/ 21553 | consumed samples: 1497600 | consumed 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consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.31 | learning rate: 1.705E-04 | global batch size: 256 | lm loss: 2.760589E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.221 | TFLOPs: 29.24 | 7: iteration 5890/ 21553 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.31 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 2.718811E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.310 | TFLOPs: 29.10 | 7: iteration 5900/ 21553 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.31 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 2.731684E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.666 | 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iterations: 0 | samples per second: 849.869 | TFLOPs: 29.75 | 7: iteration 5940/ 21553 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.30 | learning rate: 1.699E-04 | global batch size: 256 | lm loss: 2.754134E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.758 | TFLOPs: 29.47 | 7: iteration 5950/ 21553 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.31 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 2.762892E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.337 | TFLOPs: 28.93 | 7: iteration 5960/ 21553 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.31 | learning rate: 1.697E-04 | global batch size: 256 | lm loss: 2.760122E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.267 | TFLOPs: 29.35 | 7: iteration 5970/ 21553 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.30 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 2.797779E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.445 | TFLOPs: 29.74 | 7: iteration 5980/ 21553 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.30 | learning rate: 1.695E-04 | global batch size: 256 | lm loss: 2.759071E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.924 | TFLOPs: 29.82 | 7: iteration 5990/ 21553 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.31 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 2.766663E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.107 | TFLOPs: 29.37 | 0: [2022-11-25 18:03:26,009] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00016928570742907802, 0.00016928570742907802, 0.00016928570742907802], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 21553 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.31 | learning rate: 1.693E-04 | global batch size: 256 | lm loss: 2.753139E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.938 | TFLOPs: 28.84 | 0: steps: 6000 loss: 2.7654 iter time (s): 0.304 samples/sec: 840.908 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 2.760461E+00 | lm loss PPL: 1.580713E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_146m 0: [2022-11-25 18:03:26,130] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-25 18:03:26,134] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:03:26,218] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:03:26,218] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step6000/layer_03-model_00-model_states.pt... 0: [2022-11-25 18:03:26,234] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/layer_03-model_00-model_states.pt. 0: [2022-11-25 18:03:26,234] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_146m/global_step6000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-25 18:03:26,497] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-25 18:03:26,498] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-25 18:03:26,498] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 18:03:26,498] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-25 18:03:26,499] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:03:26,499] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 18:03:26,499] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-25 18:03:26,499] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:03:26,500] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-25 18:03:26,500] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-25 18:03:26,501] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:03:26,501] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-25 18:03:26,501] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-25 18:03:26,501] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:03:26,501] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-25 18:03:26,501] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-25 18:03:26,501] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:03:26,501] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-25 18:03:26,501] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-25 18:03:26,502] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:03:26,502] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 3: [2022-11-25 18:03:26,502] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:03:26,502] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-25 18:03:26,502] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m/global_step6000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:03:26,502] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:03:26,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:03:26,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:03:26,503] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-25 18:03:26,503] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 18:03:26,503] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-25 18:03:26,503] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-25 18:03:26,503] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-25 18:03:26,503] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-25 18:03:26,502] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-25 18:03:26,502] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-25 18:03:26,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: 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checkpoints_146m/global_step6000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-25 18:03:26,511] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 18:03:26,511] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:03:26,511] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:03:26,511] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-25 18:03:26,511] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-25 18:03:26,511] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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[2022-11-25 18:03:26,512] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-25 18:03:26,513] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:03:26,513] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-25 18:03:26,513] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:03:26,513] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-25 18:03:26,513] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-25 18:03:26,513] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 18:03:26,513] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:03:26,514] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:03:26,514] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-25 18:03:26,514] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-25 18:03:26,514] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:03:26,514] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint 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[2022-11-25 18:03:26,514] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:03:26,514] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-25 18:03:26,514] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 18:03:26,514] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:03:26,514] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 18:03:26,514] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-25 18:03:26,526] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:03:26,526] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:03:26,526] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-25 18:03:26,526] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-25 18:03:26,527] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 18:03:26,527] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-25 18:03:26,533] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:03:26,533] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-25 18:03:26,533] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-25 18:03:26,538] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:03:26,538] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step6000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-25 18:03:26,538] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-25 18:03:26,556] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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| consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.36 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 2.777506E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 708.740 | TFLOPs: 24.81 | 7: iteration 6020/ 21553 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.32 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 2.741433E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.652 | TFLOPs: 27.92 | 7: iteration 6030/ 21553 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.32 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 2.736870E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.365 | 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iterations: 0 | samples per second: 855.929 | TFLOPs: 29.96 | 7: iteration 6070/ 21553 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.30 | learning rate: 1.686E-04 | global batch size: 256 | lm loss: 2.772784E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.689 | TFLOPs: 29.43 | 7: iteration 6080/ 21553 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.30 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 2.762963E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.082 | TFLOPs: 29.83 | 7: iteration 6090/ 21553 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.30 | learning rate: 1.684E-04 | global batch size: 256 | lm loss: 2.741786E+00 | grad norm: 0.318 | num zeros: 0.0 | number of 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norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.991 | TFLOPs: 29.37 | 7: iteration 6130/ 21553 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.30 | learning rate: 1.680E-04 | global batch size: 256 | lm loss: 2.750328E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.687 | TFLOPs: 29.71 | 7: iteration 6140/ 21553 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.31 | learning rate: 1.679E-04 | global batch size: 256 | lm loss: 2.736034E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.433 | TFLOPs: 29.11 | 7: iteration 6150/ 21553 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.30 | learning rate: 1.678E-04 | global batch size: 256 | lm loss: 2.738821E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.901 | TFLOPs: 29.72 | 7: iteration 6160/ 21553 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.31 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 2.727446E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.587 | TFLOPs: 29.18 | 7: iteration 6170/ 21553 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.30 | learning rate: 1.676E-04 | global batch size: 256 | lm loss: 2.736213E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.482 | TFLOPs: 29.84 | 7: iteration 6180/ 21553 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.30 | 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second: 850.248 | TFLOPs: 29.76 | 7: iteration 6300/ 21553 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.30 | learning rate: 1.662E-04 | global batch size: 256 | lm loss: 2.733519E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.088 | TFLOPs: 30.14 | 7: iteration 6310/ 21553 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.31 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 2.719169E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.000 | TFLOPs: 28.67 | 7: iteration 6320/ 21553 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.31 | learning rate: 1.660E-04 | global batch size: 256 | lm loss: 2.741725E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.944 | TFLOPs: 28.88 | 7: iteration 6330/ 21553 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.30 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.773892E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.184 | TFLOPs: 29.45 | 7: iteration 6340/ 21553 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.30 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 2.700788E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.690 | TFLOPs: 29.89 | 7: iteration 6350/ 21553 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.32 | learning rate: 1.657E-04 | global batch size: 256 | lm loss: 2.740028E+00 | grad norm: 0.297 | num zeros: 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TFLOPs: 28.81 | 7: iteration 6530/ 21553 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.31 | learning rate: 1.638E-04 | global batch size: 256 | lm loss: 2.705332E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.474 | TFLOPs: 29.25 | 7: iteration 6540/ 21553 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.30 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 2.711634E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.412 | TFLOPs: 29.53 | 7: iteration 6550/ 21553 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.31 | learning rate: 1.636E-04 | global batch size: 256 | lm loss: 2.743453E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.647 | TFLOPs: 28.87 | 7: iteration 6560/ 21553 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.31 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 2.727075E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.829 | TFLOPs: 29.26 | 7: iteration 6570/ 21553 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.31 | learning rate: 1.634E-04 | global batch size: 256 | lm loss: 2.727063E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.601 | TFLOPs: 29.11 | 7: iteration 6580/ 21553 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.30 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.737214E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.418 | TFLOPs: 30.12 | 7: iteration 6590/ 21553 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.34 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.726125E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 750.368 | TFLOPs: 26.27 | 7: iteration 6600/ 21553 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.30 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.724899E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.110 | TFLOPs: 29.51 | 7: iteration 6610/ 21553 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.30 | learning rate: 1.630E-04 | global batch size: 256 | lm loss: 2.728834E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.324 | TFLOPs: 29.59 | 7: iteration 6620/ 21553 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.30 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.701738E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.971 | TFLOPs: 29.62 | 7: iteration 6630/ 21553 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.31 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.732640E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.646 | TFLOPs: 28.90 | 7: iteration 6640/ 21553 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.30 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 2.702175E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.289 | TFLOPs: 29.66 | 7: iteration 6650/ 21553 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.30 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 2.690186E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.467 | TFLOPs: 29.74 | 7: iteration 6660/ 21553 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.30 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 2.745835E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.800 | TFLOPs: 29.64 | 7: iteration 6670/ 21553 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.30 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 2.708121E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.701 | TFLOPs: 29.57 | 7: iteration 6680/ 21553 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.31 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 2.702102E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.887 | TFLOPs: 29.05 | 7: iteration 6690/ 21553 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.30 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.719316E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.926 | TFLOPs: 29.54 | 7: iteration 6700/ 21553 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.30 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.727728E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.022 | TFLOPs: 29.76 | 7: iteration 6710/ 21553 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.30 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 2.742569E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.435 | TFLOPs: 29.56 | 7: iteration 6720/ 21553 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.30 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.698251E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.734 | TFLOPs: 29.43 | 7: iteration 6730/ 21553 | consumed samples: 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second: 836.201 | TFLOPs: 29.27 | 7: iteration 6790/ 21553 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 0.31 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.715180E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.040 | TFLOPs: 28.85 | 7: iteration 6800/ 21553 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.31 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 2.764677E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.561 | TFLOPs: 29.25 | 7: iteration 6810/ 21553 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 0.30 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.706777E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.028 | TFLOPs: 29.41 | 7: iteration 6820/ 21553 | consumed samples: 1745920 | consumed tokens: 3575644160 | elapsed time per iteration (s): 0.31 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.708967E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.180 | TFLOPs: 29.06 | 7: iteration 6830/ 21553 | consumed samples: 1748480 | consumed tokens: 3580887040 | elapsed time per iteration (s): 0.31 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.726594E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.170 | TFLOPs: 29.34 | 7: iteration 6840/ 21553 | consumed samples: 1751040 | consumed tokens: 3586129920 | elapsed time per iteration (s): 0.30 | learning rate: 1.605E-04 | global batch size: 256 | lm loss: 2.715306E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.271 | TFLOPs: 29.42 | 7: iteration 6850/ 21553 | consumed samples: 1753600 | consumed tokens: 3591372800 | elapsed time per iteration (s): 0.31 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.712015E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.321 | TFLOPs: 28.68 | 7: iteration 6860/ 21553 | consumed samples: 1756160 | consumed tokens: 3596615680 | elapsed time per iteration (s): 0.30 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 2.693126E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.070 | TFLOPs: 29.51 | 7: iteration 6870/ 21553 | consumed samples: 1758720 | consumed tokens: 3601858560 | elapsed time per iteration (s): 0.31 | learning rate: 1.601E-04 | global batch size: 256 | lm loss: 2.745431E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.429 | TFLOPs: 28.83 | 7: iteration 6880/ 21553 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 0.31 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.730573E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.757 | TFLOPs: 29.05 | 7: iteration 6890/ 21553 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 0.30 | learning rate: 1.599E-04 | global batch size: 256 | lm loss: 2.664318E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.078 | TFLOPs: 29.86 | 7: iteration 6900/ 21553 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 0.31 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 2.671484E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.448 | TFLOPs: 29.35 | 7: iteration 6910/ 21553 | consumed samples: 1768960 | consumed tokens: 3622830080 | elapsed time per iteration (s): 0.30 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 2.710876E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.556 | TFLOPs: 29.60 | 7: iteration 6920/ 21553 | consumed samples: 1771520 | consumed tokens: 3628072960 | elapsed time per iteration (s): 0.30 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.705402E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.037 | TFLOPs: 29.44 | 7: iteration 6930/ 21553 | consumed samples: 1774080 | consumed tokens: 3633315840 | elapsed time per iteration (s): 0.30 | learning rate: 1.595E-04 | global batch size: 256 | lm loss: 2.698964E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.946 | TFLOPs: 29.58 | 7: iteration 6940/ 21553 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 0.31 | learning rate: 1.594E-04 | global batch size: 256 | lm loss: 2.720709E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.508 | TFLOPs: 28.69 | 7: iteration 6950/ 21553 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.31 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.695802E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.660 | TFLOPs: 29.25 | 7: iteration 6960/ 21553 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.31 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 2.741939E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.884 | TFLOPs: 28.91 | 7: iteration 6970/ 21553 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.30 | learning rate: 1.590E-04 | global batch size: 256 | lm loss: 2.700734E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.381 | TFLOPs: 29.77 | 7: iteration 6980/ 21553 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.30 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 2.680423E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.818 | TFLOPs: 29.89 | 7: iteration 6990/ 21553 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.30 | learning rate: 1.588E-04 | global batch size: 256 | lm loss: 2.735939E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.018 | TFLOPs: 29.97 | 7: iteration 7000/ 21553 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.31 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 2.719794E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.174 | TFLOPs: 29.34 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 2.658821E+00 | lm loss PPL: 1.427944E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_146m 0: [2022-11-25 18:08:32,232] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-25 18:08:32,235] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:08:32,356] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step7000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:08:32,356] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step7000/layer_03-model_00-model_states.pt... 0: [2022-11-25 18:08:32,376] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step7000/layer_03-model_00-model_states.pt. 0: [2022-11-25 18:08:32,376] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step7000/layer_04-model_00-model_states.pt... 0: [2022-11-25 18:08:32,391] [INFO] [torch_checkpoint_engine.py:17:save] 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checkpoints_146m/global_step7000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-25 18:08:32,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-25 18:08:32,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step7000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:08:32,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step7000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 18:08:32,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-25 18:08:32,645] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step7000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:08:32,645] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-25 18:08:32,645] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step7000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-25 18:08:32,645] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-25 18:08:32,645] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-25 18:08:32,645] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-25 18:08:32,646] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step7000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:08:32,646] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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3675258880 | elapsed time per iteration (s): 0.37 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 2.693987E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 689.980 | TFLOPs: 24.15 | 7: iteration 7020/ 21553 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.30 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.746626E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.119 | TFLOPs: 29.83 | 7: iteration 7030/ 21553 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.31 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 2.683045E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.292 | TFLOPs: 29.14 | 7: iteration 7040/ 21553 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.31 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.724475E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.863 | TFLOPs: 28.77 | 7: iteration 7050/ 21553 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.31 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 2.722938E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.853 | TFLOPs: 28.98 | 7: iteration 7060/ 21553 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.30 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 2.693465E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.130 | TFLOPs: 29.45 | 7: iteration 7070/ 21553 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.30 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 2.710551E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.414 | TFLOPs: 29.77 | 7: iteration 7080/ 21553 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.34 | learning rate: 1.578E-04 | global batch size: 256 | lm loss: 2.691223E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 753.410 | TFLOPs: 26.37 | 7: iteration 7090/ 21553 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.30 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 2.714906E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan 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norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.071 | TFLOPs: 29.55 | 7: iteration 7160/ 21553 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.31 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 2.729508E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.639 | TFLOPs: 28.52 | 7: iteration 7170/ 21553 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.30 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 2.730865E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.419 | TFLOPs: 29.53 | 7: iteration 7180/ 21553 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.31 | learning rate: 1.567E-04 | global batch 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iteration 7300/ 21553 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.31 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 2.720800E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.389 | TFLOPs: 29.24 | 7: iteration 7310/ 21553 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.30 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 2.706649E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.085 | TFLOPs: 29.41 | 7: iteration 7320/ 21553 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.30 | learning rate: 1.551E-04 | global batch size: 256 | lm loss: 2.693125E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.638 | TFLOPs: 29.81 | 7: iteration 7330/ 21553 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.30 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.708990E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.373 | TFLOPs: 29.42 | 7: iteration 7340/ 21553 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.30 | learning rate: 1.549E-04 | global batch size: 256 | lm loss: 2.675484E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.399 | TFLOPs: 29.42 | 7: iteration 7350/ 21553 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.30 | learning rate: 1.547E-04 | global batch size: 256 | lm loss: 2.696887E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.358 | TFLOPs: 29.59 | 7: iteration 7360/ 21553 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.30 | learning rate: 1.546E-04 | global batch size: 256 | lm loss: 2.715413E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.071 | TFLOPs: 29.83 | 7: iteration 7370/ 21553 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.31 | learning rate: 1.545E-04 | global batch size: 256 | lm loss: 2.696078E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.890 | TFLOPs: 29.19 | 7: iteration 7380/ 21553 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.31 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 2.700954E+00 | grad norm: 0.306 | num zeros: 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2.716286E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.519 | TFLOPs: 29.77 | 7: iteration 7420/ 21553 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.31 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.666396E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.253 | TFLOPs: 29.27 | 7: iteration 7430/ 21553 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.30 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 2.696974E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.954 | TFLOPs: 29.40 | 7: iteration 7440/ 21553 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.30 | learning rate: 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TFLOPs: 29.57 | 7: iteration 7560/ 21553 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.31 | learning rate: 1.523E-04 | global batch size: 256 | lm loss: 2.677600E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.468 | TFLOPs: 29.14 | 7: iteration 7570/ 21553 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.32 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.690257E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.860 | TFLOPs: 27.93 | 7: iteration 7580/ 21553 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.30 | learning rate: 1.521E-04 | global batch size: 256 | lm loss: 2.712186E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.543 | TFLOPs: 29.74 | 7: iteration 7590/ 21553 | consumed samples: 1943040 | consumed tokens: 3979345920 | elapsed time per iteration (s): 0.30 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 2.715435E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.379 | TFLOPs: 29.59 | 7: iteration 7600/ 21553 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 0.30 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 2.681051E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.530 | TFLOPs: 29.81 | 7: iteration 7610/ 21553 | consumed samples: 1948160 | consumed tokens: 3989831680 | elapsed time per iteration (s): 0.30 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 2.730650E+00 | grad norm: 0.338 | num zeros: 0.0 | number of 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norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.705 | TFLOPs: 29.85 | 7: iteration 7650/ 21553 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.30 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 2.698215E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.022 | TFLOPs: 29.48 | 7: iteration 7660/ 21553 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.32 | learning rate: 1.511E-04 | global batch size: 256 | lm loss: 2.651728E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.090 | TFLOPs: 28.39 | 7: iteration 7670/ 21553 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.31 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.688355E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.301 | TFLOPs: 28.47 | 7: iteration 7680/ 21553 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.30 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 2.678186E+00 | grad norm: 0.596 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.294 | TFLOPs: 29.80 | 7: iteration 7690/ 21553 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.30 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.716399E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.613 | TFLOPs: 29.67 | 7: iteration 7700/ 21553 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.31 | learning rate: 1.507E-04 | global batch size: 256 | lm loss: 2.688729E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.068 | TFLOPs: 28.71 | 7: iteration 7710/ 21553 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 0.30 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.685174E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.944 | TFLOPs: 29.65 | 7: iteration 7720/ 21553 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 0.30 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 2.691434E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.286 | TFLOPs: 30.12 | 7: iteration 7730/ 21553 | consumed samples: 1978880 | consumed tokens: 4052746240 | 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1.479E-04 | global batch size: 256 | lm loss: 2.710731E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.837 | TFLOPs: 29.82 | 7: iteration 7940/ 21553 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.30 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.647705E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.148 | TFLOPs: 29.55 | 7: iteration 7950/ 21553 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.30 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 2.652871E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.157 | TFLOPs: 29.59 | 7: iteration 7960/ 21553 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.30 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 2.727497E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.480 | TFLOPs: 29.63 | 7: iteration 7970/ 21553 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.30 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.688192E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.653 | TFLOPs: 29.46 | 7: iteration 7980/ 21553 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.30 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 2.679510E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.025 | TFLOPs: 29.76 | 7: iteration 7990/ 21553 | consumed samples: 2045440 | consumed 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------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 2.636105E+00 | lm loss PPL: 1.395873E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_146m 0: [2022-11-25 18:13:38,240] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-25 18:13:38,243] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step8000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:13:38,327] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:13:38,328] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step8000/layer_03-model_00-model_states.pt... 0: [2022-11-25 18:13:38,344] [INFO] 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checkpoints_146m/global_step8000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:13:38,615] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 3: [2022-11-25 18:13:38,615] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 3: [2022-11-25 18:13:38,615] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 7: [2022-11-25 18:13:38,615] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 7: [2022-11-25 18:13:38,615] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 18:13:38,615] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready 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[2022-11-25 18:13:38,619] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:13:38,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 2: [2022-11-25 18:13:38,628] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:13:38,629] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:13:38,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-25 18:13:38,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 2: [2022-11-25 18:13:38,629] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 18:13:38,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-25 18:13:38,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-25 18:13:38,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 18:13:38,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: [2022-11-25 18:13:38,638] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step8000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 18:13:38,638] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: successfully saved checkpoint at iteration 8000 to checkpoints_146m 7: time (ms) | save-checkpoint: 402.02 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number of nan iterations: 0 | samples per second: 809.425 | TFLOPs: 28.34 | 7: iteration 8070/ 21553 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.32 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 2.663161E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 791.781 | TFLOPs: 27.72 | 7: iteration 8080/ 21553 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.30 | learning rate: 1.461E-04 | global batch size: 256 | lm loss: 2.662837E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.988 | TFLOPs: 29.62 | 7: iteration 8090/ 21553 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.30 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.656141E+00 | grad norm: 0.300 | num zeros: 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learning rate: 1.421E-04 | global batch size: 256 | lm loss: 2.624481E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.225 | TFLOPs: 29.87 | 7: iteration 8420/ 21553 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.31 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 2.651486E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.870 | TFLOPs: 28.84 | 7: iteration 8430/ 21553 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.31 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 2.682108E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.489 | TFLOPs: 29.14 | 7: iteration 8440/ 21553 | consumed samples: 2160640 | consumed tokens: 4424990720 | 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norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.011 | TFLOPs: 30.14 | 7: iteration 8850/ 21553 | consumed samples: 2265600 | consumed tokens: 4639948800 | elapsed time per iteration (s): 0.30 | learning rate: 1.366E-04 | global batch size: 256 | lm loss: 2.646543E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.513 | TFLOPs: 29.98 | 7: iteration 8860/ 21553 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 0.30 | learning rate: 1.364E-04 | global batch size: 256 | lm loss: 2.658465E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.896 | TFLOPs: 30.00 | 7: iteration 8870/ 21553 | consumed samples: 2270720 | consumed tokens: 4650434560 | elapsed time per iteration (s): 0.30 | learning rate: 1.363E-04 | global batch size: 256 | lm loss: 2.633993E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.985 | TFLOPs: 29.55 | 7: iteration 8880/ 21553 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 0.30 | learning rate: 1.362E-04 | global batch size: 256 | lm loss: 2.651927E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.460 | TFLOPs: 29.63 | 7: iteration 8890/ 21553 | consumed samples: 2275840 | consumed tokens: 4660920320 | elapsed time per iteration (s): 0.30 | learning rate: 1.360E-04 | global batch size: 256 | lm loss: 2.624794E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.482 | TFLOPs: 29.67 | 7: iteration 8900/ 21553 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 0.30 | learning rate: 1.359E-04 | global batch size: 256 | lm loss: 2.658854E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.631 | TFLOPs: 29.92 | 7: iteration 8910/ 21553 | consumed samples: 2280960 | consumed tokens: 4671406080 | elapsed time per iteration (s): 0.30 | learning rate: 1.358E-04 | global batch size: 256 | lm loss: 2.651340E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.258 | TFLOPs: 29.70 | 7: iteration 8920/ 21553 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 0.31 | learning rate: 1.357E-04 | global batch size: 256 | lm loss: 2.627003E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.001 | TFLOPs: 28.78 | 7: iteration 8930/ 21553 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 0.30 | learning rate: 1.355E-04 | global batch size: 256 | lm loss: 2.637142E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.035 | TFLOPs: 29.55 | 7: iteration 8940/ 21553 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.31 | learning rate: 1.354E-04 | global batch size: 256 | lm loss: 2.638240E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.057 | TFLOPs: 29.06 | 7: iteration 8950/ 21553 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.32 | learning rate: 1.353E-04 | global batch size: 256 | lm loss: 2.648367E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.655 | TFLOPs: 27.96 | 7: iteration 8960/ 21553 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.30 | learning rate: 1.352E-04 | global batch size: 256 | lm loss: 2.640506E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.590 | TFLOPs: 29.39 | 7: iteration 8970/ 21553 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.32 | learning rate: 1.350E-04 | global batch size: 256 | lm loss: 2.647449E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.932 | TFLOPs: 28.07 | 7: iteration 8980/ 21553 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.31 | learning rate: 1.349E-04 | global batch size: 256 | lm loss: 2.626959E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.879 | TFLOPs: 29.09 | 7: iteration 8990/ 21553 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.30 | learning rate: 1.348E-04 | global batch size: 256 | lm loss: 2.631505E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.668 | TFLOPs: 29.43 | 7: iteration 9000/ 21553 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.31 | learning rate: 1.346E-04 | global batch size: 256 | lm loss: 2.639656E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.669 | TFLOPs: 28.90 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.500567E+00 | lm loss PPL: 1.218940E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_146m 0: [2022-11-25 18:18:44,274] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-25 18:18:44,278] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step9000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:18:44,363] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:18:44,363] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step9000/layer_03-model_00-model_states.pt... 0: [2022-11-25 18:18:44,379] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/layer_03-model_00-model_states.pt. 0: [2022-11-25 18:18:44,379] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step9000/layer_04-model_00-model_states.pt... 0: [2022-11-25 18:18:44,394] [INFO] 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2: [2022-11-25 18:18:44,844] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 18:18:44,844] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 6: [2022-11-25 18:18:44,844] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:18:44,844] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-25 18:18:44,844] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 6: [2022-11-25 18:18:44,844] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 18:18:44,844] [INFO] 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:18:44,853] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:18:44,854] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-25 18:18:44,854] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 0: [2022-11-25 18:18:44,854] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:18:44,854] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:18:44,854] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:18:44,854] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 1: [2022-11-25 18:18:44,854] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 1: [2022-11-25 18:18:44,854] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:18:44,854] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-25 18:18:44,854] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[2022-11-25 18:18:44,864] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:18:44,864] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 18:18:44,864] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_146m 7: time (ms) | save-checkpoint: 603.24 7: iteration 9010/ 21553 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.37 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 2.659378E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 691.101 | TFLOPs: 24.19 | 7: iteration 9020/ 21553 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.31 | learning rate: 1.344E-04 | global batch size: 256 | lm loss: 2.633344E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.072 | TFLOPs: 29.09 | 7: iteration 9030/ 21553 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.31 | learning rate: 1.343E-04 | global batch size: 256 | lm loss: 2.667186E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.442 | TFLOPs: 29.18 | 7: iteration 9040/ 21553 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.32 | learning rate: 1.341E-04 | global batch size: 256 | lm loss: 2.655653E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.917 | TFLOPs: 27.93 | 7: iteration 9050/ 21553 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.31 | learning rate: 1.340E-04 | global batch size: 256 | lm loss: 2.673836E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.940 | TFLOPs: 28.81 | 7: iteration 9060/ 21553 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.30 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 2.665565E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.116 | TFLOPs: 29.69 | 7: iteration 9070/ 21553 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.31 | learning rate: 1.338E-04 | global batch size: 256 | lm loss: 2.649175E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.217 | 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iterations: 0 | samples per second: 836.701 | TFLOPs: 29.29 | 7: iteration 9110/ 21553 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.30 | learning rate: 1.332E-04 | global batch size: 256 | lm loss: 2.627391E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.103 | TFLOPs: 29.65 | 7: iteration 9120/ 21553 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.31 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 2.658834E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.081 | TFLOPs: 29.37 | 7: iteration 9130/ 21553 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.30 | learning rate: 1.330E-04 | global batch size: 256 | lm loss: 2.651074E+00 | grad norm: 0.298 | num zeros: 0.0 | number of 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size: 256 | lm loss: 2.657800E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.231 | TFLOPs: 29.06 | 7: iteration 9200/ 21553 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.30 | learning rate: 1.321E-04 | global batch size: 256 | lm loss: 2.639651E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.642 | TFLOPs: 29.39 | 7: iteration 9210/ 21553 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.30 | learning rate: 1.320E-04 | global batch size: 256 | lm loss: 2.636707E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.210 | TFLOPs: 29.59 | 7: iteration 9220/ 21553 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.31 | learning rate: 1.318E-04 | global batch size: 256 | lm loss: 2.594206E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.003 | TFLOPs: 29.20 | 7: iteration 9230/ 21553 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.30 | learning rate: 1.317E-04 | global batch size: 256 | lm loss: 2.659342E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.305 | TFLOPs: 29.63 | 7: iteration 9240/ 21553 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.30 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 2.641341E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.967 | TFLOPs: 29.47 | 7: iteration 9250/ 21553 | consumed samples: 2368000 | consumed tokens: 4849664000 | 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iteration 9310/ 21553 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.31 | learning rate: 1.307E-04 | global batch size: 256 | lm loss: 2.647070E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.414 | TFLOPs: 29.11 | 7: iteration 9320/ 21553 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.31 | learning rate: 1.305E-04 | global batch size: 256 | lm loss: 2.643495E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.868 | TFLOPs: 28.91 | 7: iteration 9330/ 21553 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.31 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 2.672696E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.203 | TFLOPs: 29.13 | 7: iteration 9340/ 21553 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.31 | learning rate: 1.303E-04 | global batch size: 256 | lm loss: 2.653495E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.168 | TFLOPs: 29.34 | 7: iteration 9350/ 21553 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.30 | learning rate: 1.302E-04 | global batch size: 256 | lm loss: 2.655507E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.212 | TFLOPs: 29.73 | 7: iteration 9360/ 21553 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.31 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 2.608997E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | 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2.661740E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.789 | TFLOPs: 29.12 | 7: iteration 9430/ 21553 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.31 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.627238E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.028 | TFLOPs: 29.16 | 7: iteration 9440/ 21553 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.30 | learning rate: 1.290E-04 | global batch size: 256 | lm loss: 2.651920E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.884 | TFLOPs: 29.44 | 7: iteration 9450/ 21553 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.30 | learning rate: 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TFLOPs: 29.58 | 7: iteration 9570/ 21553 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 0.31 | learning rate: 1.273E-04 | global batch size: 256 | lm loss: 2.579852E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.531 | TFLOPs: 29.11 | 7: iteration 9580/ 21553 | consumed samples: 2452480 | consumed tokens: 5022679040 | elapsed time per iteration (s): 0.30 | learning rate: 1.272E-04 | global batch size: 256 | lm loss: 2.644219E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.405 | TFLOPs: 29.67 | 7: iteration 9590/ 21553 | consumed samples: 2455040 | consumed tokens: 5027921920 | elapsed time per iteration (s): 0.30 | learning rate: 1.270E-04 | global batch size: 256 | lm loss: 2.612819E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.600 | TFLOPs: 29.64 | 7: iteration 9600/ 21553 | consumed samples: 2457600 | consumed tokens: 5033164800 | elapsed time per iteration (s): 0.31 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 2.620036E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.809 | TFLOPs: 29.15 | 7: iteration 9610/ 21553 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 0.30 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 2.617701E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.785 | TFLOPs: 29.92 | 7: iteration 9620/ 21553 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 0.30 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.683018E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.742 | TFLOPs: 29.71 | 7: iteration 9630/ 21553 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 0.30 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 2.652936E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.013 | TFLOPs: 29.76 | 7: iteration 9640/ 21553 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.31 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 2.607958E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.758 | TFLOPs: 29.33 | 7: iteration 9650/ 21553 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.30 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 2.647495E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.375 | TFLOPs: 29.91 | 7: iteration 9660/ 21553 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 0.30 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.649447E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.754 | TFLOPs: 29.57 | 7: iteration 9670/ 21553 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 0.31 | learning rate: 1.260E-04 | global batch size: 256 | lm loss: 2.618578E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.638 | TFLOPs: 29.32 | 7: iteration 9680/ 21553 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 0.31 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 2.622193E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.079 | TFLOPs: 29.34 | 7: iteration 9690/ 21553 | consumed samples: 2480640 | consumed tokens: 5080350720 | elapsed time per iteration (s): 0.30 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.622176E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.634 | TFLOPs: 30.13 | 7: iteration 9700/ 21553 | consumed samples: 2483200 | consumed tokens: 5085593600 | elapsed time per iteration (s): 0.30 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 2.633418E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.795 | TFLOPs: 30.13 | 7: iteration 9710/ 21553 | consumed samples: 2485760 | consumed tokens: 5090836480 | elapsed time per iteration (s): 0.30 | learning rate: 1.255E-04 | global batch size: 256 | lm loss: 2.626439E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.542 | TFLOPs: 29.64 | 7: iteration 9720/ 21553 | consumed samples: 2488320 | consumed tokens: 5096079360 | elapsed time per iteration (s): 0.30 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.630178E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.921 | TFLOPs: 29.54 | 7: iteration 9730/ 21553 | consumed samples: 2490880 | consumed tokens: 5101322240 | elapsed time per iteration (s): 0.30 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.681543E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.814 | TFLOPs: 29.78 | 7: iteration 9740/ 21553 | consumed samples: 2493440 | consumed tokens: 5106565120 | elapsed time per iteration (s): 0.30 | learning rate: 1.251E-04 | global batch size: 256 | lm loss: 2.648462E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.663 | TFLOPs: 29.57 | 7: iteration 9750/ 21553 | consumed samples: 2496000 | consumed tokens: 5111808000 | elapsed time per iteration (s): 0.30 | learning rate: 1.250E-04 | global batch size: 256 | lm loss: 2.624701E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.110 | TFLOPs: 30.11 | 7: iteration 9760/ 21553 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 0.30 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 2.619928E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.684 | TFLOPs: 29.99 | 7: iteration 9770/ 21553 | consumed samples: 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iteration 9800/ 21553 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 0.30 | learning rate: 1.243E-04 | global batch size: 256 | lm loss: 2.646500E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.025 | TFLOPs: 29.83 | 7: iteration 9810/ 21553 | consumed samples: 2511360 | consumed tokens: 5143265280 | elapsed time per iteration (s): 0.30 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 2.641888E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.699 | TFLOPs: 29.99 | 7: iteration 9820/ 21553 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 0.30 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 2.613607E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.714 | TFLOPs: 29.82 | 7: iteration 9830/ 21553 | consumed samples: 2516480 | consumed tokens: 5153751040 | elapsed time per iteration (s): 0.30 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 2.642268E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.459 | TFLOPs: 29.49 | 7: iteration 9840/ 21553 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 0.30 | learning rate: 1.238E-04 | global batch size: 256 | lm loss: 2.595703E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.921 | TFLOPs: 29.58 | 7: iteration 9850/ 21553 | consumed samples: 2521600 | consumed tokens: 5164236800 | elapsed time per iteration (s): 0.30 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 2.640386E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.900 | TFLOPs: 29.75 | 7: iteration 9860/ 21553 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 0.31 | learning rate: 1.235E-04 | global batch size: 256 | lm loss: 2.657126E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.379 | TFLOPs: 29.31 | 7: iteration 9870/ 21553 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 0.30 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 2.597054E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.041 | TFLOPs: 30.07 | 7: iteration 9880/ 21553 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 0.31 | learning rate: 1.233E-04 | global batch size: 256 | lm loss: 2.628379E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.901 | TFLOPs: 29.33 | 7: iteration 9890/ 21553 | consumed samples: 2531840 | consumed tokens: 5185208320 | elapsed time per iteration (s): 0.31 | learning rate: 1.231E-04 | global batch size: 256 | lm loss: 2.662988E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.067 | TFLOPs: 29.34 | 7: iteration 9900/ 21553 | consumed samples: 2534400 | consumed tokens: 5190451200 | elapsed time per iteration (s): 0.31 | learning rate: 1.230E-04 | global batch size: 256 | lm loss: 2.660839E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.964 | TFLOPs: 28.98 | 7: iteration 9910/ 21553 | consumed samples: 2536960 | consumed tokens: 5195694080 | elapsed time per iteration (s): 0.30 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 2.642667E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.321 | TFLOPs: 29.49 | 7: iteration 9920/ 21553 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 0.31 | learning rate: 1.227E-04 | global batch size: 256 | lm loss: 2.668446E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.382 | TFLOPs: 29.28 | 7: iteration 9930/ 21553 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 0.31 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 2.639725E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.084 | TFLOPs: 28.92 | 7: iteration 9940/ 21553 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 0.30 | learning rate: 1.225E-04 | global batch size: 256 | lm loss: 2.613216E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.084 | TFLOPs: 29.41 | 7: iteration 9950/ 21553 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.31 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 2.609112E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.679 | TFLOPs: 29.15 | 7: iteration 9960/ 21553 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.31 | learning rate: 1.222E-04 | global batch size: 256 | lm loss: 2.643748E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.828 | TFLOPs: 29.19 | 7: iteration 9970/ 21553 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.30 | learning rate: 1.221E-04 | global batch size: 256 | lm loss: 2.600793E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.635 | TFLOPs: 29.53 | 7: iteration 9980/ 21553 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.30 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.652720E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.871 | TFLOPs: 29.44 | 7: iteration 9990/ 21553 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.30 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 2.651909E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.988 | TFLOPs: 29.51 | 0: [2022-11-25 18:23:49,182] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.00012168458711439383, 0.00012168458711439383, 0.00012168458711439383], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 21553 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.31 | learning rate: 1.217E-04 | global batch size: 256 | lm loss: 2.654670E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.797 | TFLOPs: 29.19 | 0: steps: 10000 loss: 2.6245 iter time (s): 0.303 samples/sec: 846.047 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.531667E+00 | lm loss PPL: 1.257446E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_146m 0: [2022-11-25 18:23:49,312] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] 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[2022-11-25 18:23:49,482] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step10000/layer_05-model_00-model_states.pt... 0: [2022-11-25 18:23:49,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step10000/layer_05-model_00-model_states.pt. 0: [2022-11-25 18:23:49,503] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step10000/layer_06-model_00-model_states.pt... 0: [2022-11-25 18:23:49,524] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step10000/layer_06-model_00-model_states.pt. 0: [2022-11-25 18:23:49,525] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step10000/layer_07-model_00-model_states.pt... 0: [2022-11-25 18:23:49,545] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step10000/layer_07-model_00-model_states.pt. 0: [2022-11-25 18:23:49,546] [INFO] 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Checkpoint global_step10000 is ready now! 0: [2022-11-25 18:23:49,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step10000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:23:49,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step10000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-25 18:23:49,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: [2022-11-25 18:23:49,842] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step10000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 18:23:49,842] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_146m 7: time (ms) | save-checkpoint: 535.84 7: iteration 10010/ 21553 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 0.37 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.625154E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 700.155 | TFLOPs: 24.51 | 7: iteration 10020/ 21553 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.30 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 2.651059E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.239 | TFLOPs: 29.97 | 7: iteration 10030/ 21553 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.31 | learning rate: 1.213E-04 | global batch size: 256 | lm loss: 2.652482E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.849 | TFLOPs: 28.84 | 7: iteration 10040/ 21553 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.31 | learning rate: 1.212E-04 | global batch size: 256 | lm loss: 2.652297E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.208 | TFLOPs: 28.50 | 7: iteration 10050/ 21553 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.30 | learning rate: 1.210E-04 | global batch size: 256 | lm loss: 2.628030E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.568 | TFLOPs: 30.06 | 7: iteration 10060/ 21553 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.31 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 2.634057E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.986 | TFLOPs: 28.78 | 7: iteration 10070/ 21553 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.31 | learning rate: 1.208E-04 | global batch size: 256 | lm loss: 2.636545E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.860 | TFLOPs: 28.88 | 7: iteration 10080/ 21553 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.30 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.596674E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.306 | TFLOPs: 29.84 | 7: iteration 10090/ 21553 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.30 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 2.610798E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.990 | TFLOPs: 29.55 | 7: iteration 10100/ 21553 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.31 | learning rate: 1.204E-04 | global batch size: 256 | lm loss: 2.641601E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.232 | TFLOPs: 29.10 | 7: iteration 10110/ 21553 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.30 | learning rate: 1.202E-04 | global batch size: 256 | lm loss: 2.615639E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.573 | TFLOPs: 29.50 | 7: iteration 10120/ 21553 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.30 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.601298E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.641 | TFLOPs: 29.95 | 7: iteration 10130/ 21553 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.30 | learning rate: 1.200E-04 | global batch size: 256 | lm loss: 2.627557E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.116 | TFLOPs: 29.87 | 7: iteration 10140/ 21553 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.30 | learning rate: 1.198E-04 | global batch size: 256 | lm loss: 2.637991E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.373 | TFLOPs: 29.56 | 7: iteration 10150/ 21553 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.30 | learning rate: 1.197E-04 | global batch size: 256 | lm loss: 2.607922E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.693 | TFLOPs: 29.99 | 7: iteration 10160/ 21553 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.30 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 2.626657E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.520 | TFLOPs: 29.49 | 7: iteration 10170/ 21553 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.31 | learning rate: 1.194E-04 | global batch size: 256 | lm loss: 2.650312E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.047 | TFLOPs: 29.23 | 7: iteration 10180/ 21553 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 0.31 | learning rate: 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second: 848.772 | TFLOPs: 29.71 | 7: iteration 10300/ 21553 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.31 | learning rate: 1.177E-04 | global batch size: 256 | lm loss: 2.600035E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.310 | TFLOPs: 29.35 | 7: iteration 10310/ 21553 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.30 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.634328E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.697 | TFLOPs: 29.50 | 7: iteration 10320/ 21553 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.30 | learning rate: 1.175E-04 | global batch size: 256 | lm loss: 2.655027E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.916 | TFLOPs: 29.96 | 7: iteration 10330/ 21553 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.30 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 2.611024E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.094 | TFLOPs: 29.58 | 7: iteration 10340/ 21553 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.31 | learning rate: 1.172E-04 | global batch size: 256 | lm loss: 2.653582E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.331 | TFLOPs: 28.72 | 7: iteration 10350/ 21553 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.30 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.624432E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.057 | TFLOPs: 29.97 | 7: iteration 10360/ 21553 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.31 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 2.631681E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.738 | TFLOPs: 28.80 | 7: iteration 10370/ 21553 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 0.30 | learning rate: 1.168E-04 | global batch size: 256 | lm loss: 2.624523E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.140 | TFLOPs: 30.11 | 7: iteration 10380/ 21553 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 0.30 | learning rate: 1.167E-04 | global batch size: 256 | lm loss: 2.619565E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.327 | TFLOPs: 29.45 | 7: iteration 10390/ 21553 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.30 | learning rate: 1.165E-04 | global batch size: 256 | lm loss: 2.609818E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.511 | TFLOPs: 29.46 | 7: iteration 10400/ 21553 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.30 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 2.624136E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.028 | TFLOPs: 29.55 | 7: iteration 10410/ 21553 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.31 | learning rate: 1.163E-04 | global batch size: 256 | lm loss: 2.611964E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.247 | TFLOPs: 28.82 | 7: iteration 10420/ 21553 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.30 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 2.637428E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.543 | TFLOPs: 29.53 | 7: iteration 10430/ 21553 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 0.30 | learning rate: 1.160E-04 | global batch size: 256 | lm loss: 2.632319E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.486 | TFLOPs: 29.95 | 7: iteration 10440/ 21553 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 0.32 | learning rate: 1.159E-04 | global batch size: 256 | lm loss: 2.621014E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.231 | TFLOPs: 28.29 | 7: iteration 10450/ 21553 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.31 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 2.610257E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.245 | TFLOPs: 29.31 | 7: iteration 10460/ 21553 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.30 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 2.617804E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.319 | TFLOPs: 29.52 | 7: iteration 10470/ 21553 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.30 | learning rate: 1.155E-04 | global batch size: 256 | lm loss: 2.622336E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.481 | TFLOPs: 29.56 | 7: iteration 10480/ 21553 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.31 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.615744E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.986 | TFLOPs: 29.30 | 7: iteration 10490/ 21553 | consumed samples: 2685440 | consumed tokens: 5499781120 | elapsed time per iteration (s): 0.31 | learning rate: 1.152E-04 | global batch size: 256 | lm loss: 2.611610E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.577 | TFLOPs: 28.83 | 7: iteration 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second: 818.649 | TFLOPs: 28.66 | 7: iteration 10530/ 21553 | consumed samples: 2695680 | consumed tokens: 5520752640 | elapsed time per iteration (s): 0.31 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 2.618620E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.409 | TFLOPs: 29.21 | 7: iteration 10540/ 21553 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 0.32 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.612224E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.070 | TFLOPs: 28.25 | 7: iteration 10550/ 21553 | consumed samples: 2700800 | consumed tokens: 5531238400 | elapsed time per iteration (s): 0.30 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 2.600134E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.064 | TFLOPs: 30.00 | 7: iteration 10560/ 21553 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 0.30 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 2.608535E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.210 | TFLOPs: 29.59 | 7: iteration 10570/ 21553 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 0.31 | learning rate: 1.142E-04 | global batch size: 256 | lm loss: 2.606795E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.739 | TFLOPs: 29.33 | 7: iteration 10580/ 21553 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 0.30 | learning rate: 1.140E-04 | global batch size: 256 | lm loss: 2.613671E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.419 | TFLOPs: 29.67 | 7: iteration 10590/ 21553 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 0.30 | learning rate: 1.139E-04 | global batch size: 256 | lm loss: 2.647448E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.637 | TFLOPs: 29.43 | 7: iteration 10600/ 21553 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 0.31 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 2.607087E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.161 | TFLOPs: 29.31 | 7: iteration 10610/ 21553 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.30 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 2.588953E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.088 | TFLOPs: 29.62 | 7: iteration 10620/ 21553 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 0.30 | learning rate: 1.135E-04 | global batch size: 256 | lm loss: 2.607251E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.714 | TFLOPs: 29.89 | 7: iteration 10630/ 21553 | consumed samples: 2721280 | consumed tokens: 5573181440 | elapsed time per iteration (s): 0.31 | learning rate: 1.134E-04 | global batch size: 256 | lm loss: 2.589243E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.198 | TFLOPs: 29.34 | 7: iteration 10640/ 21553 | consumed samples: 2723840 | consumed tokens: 5578424320 | elapsed time per iteration (s): 0.31 | learning rate: 1.132E-04 | global batch size: 256 | lm loss: 2.620601E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.766 | TFLOPs: 28.94 | 7: iteration 10650/ 21553 | consumed samples: 2726400 | consumed tokens: 5583667200 | elapsed time per iteration (s): 0.30 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.627037E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.446 | TFLOPs: 29.46 | 7: iteration 10660/ 21553 | consumed samples: 2728960 | consumed tokens: 5588910080 | elapsed time per iteration (s): 0.30 | learning rate: 1.130E-04 | global batch size: 256 | lm loss: 2.621474E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.064 | TFLOPs: 29.51 | 7: iteration 10670/ 21553 | consumed samples: 2731520 | consumed tokens: 5594152960 | elapsed time 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consumed tokens: 5730467840 | elapsed time per iteration (s): 0.30 | learning rate: 1.094E-04 | global batch size: 256 | lm loss: 2.594339E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.678 | TFLOPs: 29.92 | 7: iteration 10940/ 21553 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.31 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 2.565329E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.377 | TFLOPs: 28.61 | 7: iteration 10950/ 21553 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.30 | learning rate: 1.091E-04 | global batch size: 256 | lm loss: 2.628182E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.726 | TFLOPs: 29.75 | 7: iteration 10960/ 21553 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.30 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.599510E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.190 | TFLOPs: 29.52 | 7: iteration 10970/ 21553 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 0.31 | learning rate: 1.089E-04 | global batch size: 256 | lm loss: 2.606549E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.869 | TFLOPs: 28.91 | 7: iteration 10980/ 21553 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.32 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 2.602980E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.932 | TFLOPs: 28.28 | 7: iteration 10990/ 21553 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.30 | learning rate: 1.086E-04 | global batch size: 256 | lm loss: 2.613717E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.769 | TFLOPs: 29.40 | 7: iteration 11000/ 21553 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.31 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 2.612201E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.091 | TFLOPs: 28.50 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 11000 | lm loss value: 2.516994E+00 | lm loss PPL: 1.239129E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 11000 to checkpoints_146m 0: [2022-11-25 18:28:54,581] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save! 0: [2022-11-25 18:28:54,585] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step11000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:28:54,667] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:28:54,667] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step11000/layer_03-model_00-model_states.pt... 0: [2022-11-25 18:28:54,683] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/layer_03-model_00-model_states.pt. 0: [2022-11-25 18:28:54,683] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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3: [2022-11-25 18:28:54,945] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-25 18:28:54,945] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 1: [2022-11-25 18:28:54,945] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:28:54,945] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:28:54,945] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 18:28:54,945] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-25 18:28:54,945] [INFO] 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[Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:28:54,946] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 18:28:54,946] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-25 18:28:54,946] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:28:54,946] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 5: [2022-11-25 18:28:54,946] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:28:54,946] [INFO] 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checkpoints_146m/global_step11000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:28:54,947] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:28:54,947] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 5: [2022-11-25 18:28:54,947] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 3: [2022-11-25 18:28:54,947] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-25 18:28:54,947] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 3: [2022-11-25 18:28:54,947] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:28:54,947] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-25 18:28:54,947] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-25 18:28:54,947] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:28:54,947] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-25 18:28:54,948] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 1: [2022-11-25 18:28:54,945] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m/global_step11000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:28:54,953] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 18:28:54,953] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 2: [2022-11-25 18:28:54,954] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:28:54,954] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:28:54,954] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:28:54,954] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint 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2: [2022-11-25 18:28:54,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-25 18:28:54,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-25 18:28:54,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:28:54,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-25 18:28:54,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 1: [2022-11-25 18:28:54,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:28:54,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 3: [2022-11-25 18:28:54,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:28:54,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 3: [2022-11-25 18:28:54,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-25 18:28:54,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-25 18:28:54,956] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:28:54,956] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 5: [2022-11-25 18:28:54,956] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:28:54,956] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-25 18:28:54,956] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-25 18:28:54,956] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 4: [2022-11-25 18:28:54,958] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:28:54,958] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-25 18:28:54,958] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 4: [2022-11-25 18:28:54,958] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:28:54,958] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-25 18:28:54,959] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-25 18:28:54,967] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step11000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 18:28:54,967] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: successfully saved checkpoint at iteration 11000 to checkpoints_146m 7: time (ms) | save-checkpoint: 393.41 7: iteration 11010/ 21553 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.38 | learning rate: 1.083E-04 | global batch size: 256 | lm loss: 2.589563E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 681.392 | TFLOPs: 23.85 | 7: iteration 11020/ 21553 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.33 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 2.643732E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 779.468 | TFLOPs: 27.29 | 7: iteration 11030/ 21553 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.32 | learning rate: 1.081E-04 | global batch size: 256 | lm loss: 2.577187E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.495 | TFLOPs: 28.06 | 7: iteration 11040/ 21553 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.31 | learning rate: 1.079E-04 | global batch size: 256 | lm loss: 2.607040E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.730 | TFLOPs: 29.12 | 7: iteration 11050/ 21553 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.30 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.622644E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.073 | TFLOPs: 29.55 | 7: iteration 11060/ 21553 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.31 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.583331E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.596 | TFLOPs: 29.22 | 7: iteration 11070/ 21553 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.30 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 2.597362E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.492 | TFLOPs: 29.67 | 7: iteration 11080/ 21553 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.31 | learning rate: 1.074E-04 | global batch size: 256 | lm loss: 2.619227E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.056 | TFLOPs: 29.16 | 7: iteration 11090/ 21553 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 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5830082560 | elapsed time per iteration (s): 0.31 | learning rate: 1.069E-04 | global batch size: 256 | lm loss: 2.618224E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.281 | TFLOPs: 29.24 | 7: iteration 11130/ 21553 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.30 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 2.581337E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.169 | TFLOPs: 29.59 | 7: iteration 11140/ 21553 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.31 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 2.608457E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.229 | TFLOPs: 28.71 | 7: iteration 11150/ 21553 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.30 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 2.595848E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.646 | TFLOPs: 29.88 | 7: iteration 11160/ 21553 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.31 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 2.614627E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.379 | TFLOPs: 29.28 | 7: iteration 11170/ 21553 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 0.31 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.604108E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.742 | 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iterations: 0 | samples per second: 848.178 | TFLOPs: 29.69 | 7: iteration 11210/ 21553 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.30 | learning rate: 1.057E-04 | global batch size: 256 | lm loss: 2.609118E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.921 | TFLOPs: 29.68 | 7: iteration 11220/ 21553 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.31 | learning rate: 1.056E-04 | global batch size: 256 | lm loss: 2.633778E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.713 | TFLOPs: 29.33 | 7: iteration 11230/ 21553 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.30 | learning rate: 1.054E-04 | global batch size: 256 | lm loss: 2.616763E+00 | grad norm: 0.264 | num zeros: 0.0 | number 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grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.394 | TFLOPs: 29.24 | 7: iteration 11270/ 21553 | consumed samples: 2885120 | consumed tokens: 5908725760 | elapsed time per iteration (s): 0.30 | learning rate: 1.049E-04 | global batch size: 256 | lm loss: 2.607209E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.085 | TFLOPs: 29.93 | 7: iteration 11280/ 21553 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 0.30 | learning rate: 1.048E-04 | global batch size: 256 | lm loss: 2.639464E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.883 | TFLOPs: 29.51 | 7: iteration 11290/ 21553 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.31 | learning rate: 1.046E-04 | global batch size: 256 | lm loss: 2.595852E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.020 | TFLOPs: 28.60 | 7: iteration 11300/ 21553 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.30 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 2.582059E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.610 | TFLOPs: 29.74 | 7: iteration 11310/ 21553 | consumed samples: 2895360 | consumed tokens: 5929697280 | elapsed time per iteration (s): 0.30 | learning rate: 1.044E-04 | global batch size: 256 | lm loss: 2.592768E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.751 | TFLOPs: 29.61 | 7: iteration 11320/ 21553 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 0.31 | learning rate: 1.042E-04 | global batch size: 256 | lm loss: 2.588853E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.656 | TFLOPs: 28.94 | 7: iteration 11330/ 21553 | consumed samples: 2900480 | consumed tokens: 5940183040 | elapsed time per iteration (s): 0.30 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 2.585718E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.807 | TFLOPs: 29.43 | 7: iteration 11340/ 21553 | consumed samples: 2903040 | consumed tokens: 5945425920 | elapsed time per iteration (s): 0.30 | learning rate: 1.040E-04 | global batch size: 256 | lm loss: 2.607607E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.731 | TFLOPs: 30.03 | 7: iteration 11350/ 21553 | consumed samples: 2905600 | consumed tokens: 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consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 0.30 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 2.600987E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.365 | TFLOPs: 29.77 | 7: iteration 11390/ 21553 | consumed samples: 2915840 | consumed tokens: 5971640320 | elapsed time per iteration (s): 0.30 | learning rate: 1.033E-04 | global batch size: 256 | lm loss: 2.593010E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.582 | TFLOPs: 29.81 | 7: iteration 11400/ 21553 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 0.30 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 2.633270E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.811 | 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iterations: 0 | samples per second: 843.825 | TFLOPs: 29.54 | 7: iteration 11440/ 21553 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.31 | learning rate: 1.026E-04 | global batch size: 256 | lm loss: 2.620933E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.004 | TFLOPs: 29.37 | 7: iteration 11450/ 21553 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.30 | learning rate: 1.025E-04 | global batch size: 256 | lm loss: 2.578906E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.403 | TFLOPs: 29.81 | 7: iteration 11460/ 21553 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 0.31 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 2.598417E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.195 | TFLOPs: 29.03 | 7: iteration 11470/ 21553 | consumed samples: 2936320 | consumed tokens: 6013583360 | elapsed time per iteration (s): 0.32 | learning rate: 1.022E-04 | global batch size: 256 | lm loss: 2.618549E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.527 | TFLOPs: 28.44 | 7: iteration 11480/ 21553 | consumed samples: 2938880 | consumed tokens: 6018826240 | elapsed time per iteration (s): 0.30 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 2.627407E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.314 | TFLOPs: 29.70 | 7: iteration 11490/ 21553 | consumed samples: 2941440 | consumed tokens: 6024069120 | elapsed time per iteration (s): 0.32 | learning rate: 1.020E-04 | global batch size: 256 | lm loss: 2.611620E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.308 | TFLOPs: 28.12 | 7: iteration 11500/ 21553 | consumed samples: 2944000 | consumed tokens: 6029312000 | elapsed time per iteration (s): 0.30 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 2.626348E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.949 | TFLOPs: 29.82 | 7: iteration 11510/ 21553 | consumed samples: 2946560 | consumed tokens: 6034554880 | elapsed time per iteration (s): 0.35 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 2.623844E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 724.006 | TFLOPs: 25.35 | 7: iteration 11520/ 21553 | consumed samples: 2949120 | consumed tokens: 6039797760 | elapsed time per iteration (s): 0.31 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 2.599716E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.714 | TFLOPs: 29.33 | 7: iteration 11530/ 21553 | consumed samples: 2951680 | consumed tokens: 6045040640 | elapsed time per iteration (s): 0.30 | learning rate: 1.015E-04 | global batch size: 256 | lm loss: 2.570422E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.729 | TFLOPs: 29.85 | 7: iteration 11540/ 21553 | consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 0.31 | learning rate: 1.013E-04 | global batch size: 256 | lm loss: 2.618689E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.086 | TFLOPs: 29.23 | 7: iteration 11550/ 21553 | consumed samples: 2956800 | consumed tokens: 6055526400 | elapsed time per iteration (s): 0.30 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 2.615455E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.629 | TFLOPs: 30.06 | 7: iteration 11560/ 21553 | consumed samples: 2959360 | consumed tokens: 6060769280 | elapsed time per iteration (s): 0.30 | learning rate: 1.011E-04 | global batch size: 256 | lm loss: 2.613397E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.202 | TFLOPs: 29.48 | 7: iteration 11570/ 21553 | consumed samples: 2961920 | consumed tokens: 6066012160 | elapsed time per iteration (s): 0.30 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.592150E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.429 | TFLOPs: 29.81 | 7: iteration 11580/ 21553 | consumed samples: 2964480 | consumed tokens: 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consumed samples: 2972160 | consumed tokens: 6086983680 | elapsed time per iteration (s): 0.30 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.610488E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.310 | TFLOPs: 29.63 | 7: iteration 11620/ 21553 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 0.31 | learning rate: 1.003E-04 | global batch size: 256 | lm loss: 2.638314E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.512 | TFLOPs: 29.14 | 7: iteration 11630/ 21553 | consumed samples: 2977280 | consumed tokens: 6097469440 | elapsed time per iteration (s): 0.30 | learning rate: 1.001E-04 | global batch size: 256 | lm loss: 2.586383E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.591 | TFLOPs: 29.46 | 7: iteration 11640/ 21553 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 0.31 | learning rate: 1.000E-04 | global batch size: 256 | lm loss: 2.621054E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.255 | TFLOPs: 29.34 | 7: iteration 11650/ 21553 | consumed samples: 2982400 | consumed tokens: 6107955200 | elapsed time per iteration (s): 0.31 | learning rate: 9.987E-05 | global batch size: 256 | lm loss: 2.571589E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.317 | TFLOPs: 29.31 | 7: iteration 11660/ 21553 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 0.31 | learning rate: 9.974E-05 | global batch size: 256 | lm loss: 2.604666E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.706 | TFLOPs: 29.33 | 7: iteration 11670/ 21553 | consumed samples: 2987520 | consumed tokens: 6118440960 | elapsed time per iteration (s): 0.30 | learning rate: 9.961E-05 | global batch size: 256 | lm loss: 2.580572E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.509 | TFLOPs: 29.49 | 7: iteration 11680/ 21553 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 0.31 | learning rate: 9.948E-05 | global batch size: 256 | lm loss: 2.624378E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.722 | TFLOPs: 29.29 | 7: iteration 11690/ 21553 | consumed samples: 2992640 | consumed tokens: 6128926720 | elapsed time per iteration (s): 0.31 | learning rate: 9.935E-05 | global batch size: 256 | lm loss: 2.617675E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.017 | TFLOPs: 29.27 | 7: iteration 11700/ 21553 | consumed samples: 2995200 | consumed tokens: 6134169600 | elapsed time per iteration (s): 0.30 | learning rate: 9.922E-05 | global batch size: 256 | lm loss: 2.578833E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.031 | TFLOPs: 29.51 | 7: iteration 11710/ 21553 | consumed samples: 2997760 | consumed tokens: 6139412480 | elapsed time per iteration (s): 0.30 | learning rate: 9.909E-05 | global batch size: 256 | lm loss: 2.602187E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.524 | TFLOPs: 29.77 | 7: iteration 11720/ 21553 | consumed samples: 3000320 | consumed tokens: 6144655360 | elapsed time per iteration (s): 0.30 | learning rate: 9.895E-05 | global batch size: 256 | lm loss: 2.590317E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.509 | TFLOPs: 29.98 | 7: iteration 11730/ 21553 | consumed samples: 3002880 | consumed tokens: 6149898240 | elapsed time per iteration (s): 0.31 | learning rate: 9.882E-05 | global batch size: 256 | lm loss: 2.590113E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.778 | TFLOPs: 29.26 | 7: iteration 11740/ 21553 | consumed samples: 3005440 | consumed tokens: 6155141120 | elapsed time per iteration (s): 0.32 | learning rate: 9.869E-05 | global batch size: 256 | lm loss: 2.600140E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.977 | TFLOPs: 28.29 | 7: iteration 11750/ 21553 | consumed samples: 3008000 | consumed tokens: 6160384000 | elapsed time per iteration (s): 0.31 | learning rate: 9.856E-05 | global batch size: 256 | lm loss: 2.569343E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.219 | TFLOPs: 29.38 | 7: iteration 11760/ 21553 | consumed samples: 3010560 | consumed tokens: 6165626880 | elapsed time per iteration (s): 0.30 | learning rate: 9.843E-05 | global batch size: 256 | lm loss: 2.606646E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.873 | TFLOPs: 29.58 | 7: iteration 11770/ 21553 | consumed samples: 3013120 | consumed tokens: 6170869760 | elapsed time per iteration (s): 0.30 | learning rate: 9.830E-05 | global batch size: 256 | lm loss: 2.614967E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.283 | TFLOPs: 29.98 | 7: iteration 11780/ 21553 | consumed samples: 3015680 | consumed tokens: 6176112640 | elapsed time per iteration (s): 0.30 | learning rate: 9.817E-05 | global batch size: 256 | lm loss: 2.578937E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.113 | TFLOPs: 29.48 | 7: iteration 11790/ 21553 | consumed samples: 3018240 | consumed tokens: 6181355520 | elapsed time per iteration (s): 0.30 | learning rate: 9.803E-05 | global batch size: 256 | lm loss: 2.591706E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.226 | TFLOPs: 29.59 | 7: iteration 11800/ 21553 | consumed samples: 3020800 | consumed tokens: 6186598400 | elapsed time per iteration (s): 0.30 | learning rate: 9.790E-05 | global batch size: 256 | lm loss: 2.594373E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.328 | TFLOPs: 29.59 | 7: iteration 11810/ 21553 | consumed samples: 3023360 | consumed tokens: 6191841280 | elapsed time per iteration (s): 0.31 | learning rate: 9.777E-05 | global batch size: 256 | lm loss: 2.580364E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.674 | TFLOPs: 29.18 | 7: iteration 11820/ 21553 | consumed samples: 3025920 | consumed tokens: 6197084160 | elapsed time per iteration (s): 0.30 | learning rate: 9.764E-05 | global batch size: 256 | lm loss: 2.597133E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.558 | TFLOPs: 30.02 | 7: iteration 11830/ 21553 | consumed samples: 3028480 | consumed tokens: 6202327040 | elapsed time per iteration (s): 0.30 | learning rate: 9.751E-05 | global batch size: 256 | lm loss: 2.535968E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.935 | TFLOPs: 29.75 | 7: iteration 11840/ 21553 | consumed samples: 3031040 | consumed tokens: 6207569920 | elapsed time per iteration (s): 0.30 | learning rate: 9.738E-05 | global batch size: 256 | lm loss: 2.580954E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.967 | TFLOPs: 30.00 | 7: iteration 11850/ 21553 | consumed samples: 3033600 | consumed tokens: 6212812800 | elapsed time per iteration (s): 0.30 | learning rate: 9.725E-05 | global batch size: 256 | lm loss: 2.613846E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.563 | TFLOPs: 29.46 | 7: iteration 11860/ 21553 | consumed samples: 3036160 | consumed tokens: 6218055680 | elapsed time per iteration (s): 0.31 | learning rate: 9.712E-05 | global batch size: 256 | lm loss: 2.542932E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.127 | TFLOPs: 29.31 | 7: iteration 11870/ 21553 | consumed samples: 3038720 | consumed tokens: 6223298560 | elapsed time per iteration (s): 0.30 | learning rate: 9.698E-05 | global batch size: 256 | lm loss: 2.595724E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.037 | TFLOPs: 29.86 | 7: iteration 11880/ 21553 | consumed samples: 3041280 | consumed tokens: 6228541440 | elapsed time per iteration (s): 0.31 | learning rate: 9.685E-05 | global batch size: 256 | lm loss: 2.590285E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.736 | TFLOPs: 28.80 | 7: iteration 11890/ 21553 | consumed samples: 3043840 | consumed tokens: 6233784320 | elapsed time per iteration (s): 0.31 | learning rate: 9.672E-05 | global batch size: 256 | lm loss: 2.607381E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.060 | TFLOPs: 28.95 | 7: iteration 11900/ 21553 | consumed samples: 3046400 | consumed tokens: 6239027200 | elapsed time per iteration (s): 0.30 | learning rate: 9.659E-05 | global batch size: 256 | lm loss: 2.565806E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.528 | TFLOPs: 29.84 | 7: iteration 11910/ 21553 | consumed samples: 3048960 | consumed tokens: 6244270080 | elapsed time per iteration (s): 0.30 | learning rate: 9.646E-05 | global batch size: 256 | lm loss: 2.622275E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.377 | TFLOPs: 29.70 | 7: iteration 11920/ 21553 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 0.30 | learning rate: 9.633E-05 | global batch size: 256 | lm loss: 2.620263E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.736 | TFLOPs: 29.47 | 7: iteration 11930/ 21553 | consumed samples: 3054080 | consumed tokens: 6254755840 | elapsed time per iteration (s): 0.30 | learning rate: 9.620E-05 | global batch size: 256 | lm loss: 2.615629E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.272 | TFLOPs: 29.63 | 7: iteration 11940/ 21553 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 0.31 | learning rate: 9.607E-05 | global batch size: 256 | lm loss: 2.613091E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.111 | TFLOPs: 29.27 | 7: iteration 11950/ 21553 | consumed samples: 3059200 | consumed tokens: 6265241600 | elapsed time per iteration (s): 0.30 | learning rate: 9.594E-05 | global batch size: 256 | lm loss: 2.552127E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.370 | TFLOPs: 29.52 | 7: iteration 11960/ 21553 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 0.30 | learning rate: 9.581E-05 | global batch size: 256 | lm loss: 2.594017E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.458 | TFLOPs: 29.74 | 7: iteration 11970/ 21553 | consumed samples: 3064320 | consumed tokens: 6275727360 | elapsed time per iteration (s): 0.32 | learning rate: 9.567E-05 | global batch size: 256 | lm loss: 2.589773E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.937 | TFLOPs: 28.18 | 7: iteration 11980/ 21553 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 0.30 | learning rate: 9.554E-05 | global batch size: 256 | lm loss: 2.621776E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.432 | TFLOPs: 29.70 | 7: iteration 11990/ 21553 | consumed samples: 3069440 | consumed tokens: 6286213120 | elapsed time per iteration (s): 0.31 | learning rate: 9.541E-05 | global batch size: 256 | lm loss: 2.592188E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.066 | TFLOPs: 29.37 | 0: [2022-11-25 18:34:00,583] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[9.528206376265585e-05, 9.528206376265585e-05, 9.528206376265585e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 12000/ 21553 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.30 | learning rate: 9.528E-05 | global batch size: 256 | lm loss: 2.618328E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.957 | TFLOPs: 29.93 | 0: steps: 12000 loss: 2.6764 iter time (s): 0.303 samples/sec: 845.270 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 12000 | lm loss value: 2.550534E+00 | lm loss PPL: 1.281394E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 12000 to checkpoints_146m 0: [2022-11-25 18:34:00,705] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step12000 is begin to save! 0: [2022-11-25 18:34:00,709] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step12000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:34:00,792] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step12000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:34:00,792] [INFO] 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bf16_zero checkpoint saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 4: [2022-11-25 18:34:01,077] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:34:01,077] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 4: [2022-11-25 18:34:01,077] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 6: [2022-11-25 18:34:01,077] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 4: [2022-11-25 18:34:01,077] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 6: [2022-11-25 18:34:01,077] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m/global_step12000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-25 18:34:01,077] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 1: [2022-11-25 18:34:01,077] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 1: [2022-11-25 18:34:01,082] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:34:01,082] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:34:01,082] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-25 18:34:01,082] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m/global_step12000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-25 18:34:01,081] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: [2022-11-25 18:34:01,097] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step12000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 18:34:01,097] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: successfully saved checkpoint at iteration 12000 to checkpoints_146m 7: time (ms) | save-checkpoint: 398.15 7: iteration 12010/ 21553 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.37 | learning rate: 9.515E-05 | global batch size: 256 | lm loss: 2.590589E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 686.895 | TFLOPs: 24.05 | 7: iteration 12020/ 21553 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.30 | learning rate: 9.502E-05 | global batch size: 256 | lm loss: 2.551457E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.749 | TFLOPs: 29.99 | 7: iteration 12030/ 21553 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.31 | learning rate: 9.489E-05 | global batch size: 256 | lm loss: 2.566990E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.274 | TFLOPs: 28.89 | 7: iteration 12040/ 21553 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 0.30 | learning rate: 9.476E-05 | global batch size: 256 | lm loss: 2.586736E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.303 | TFLOPs: 29.56 | 7: iteration 12050/ 21553 | consumed samples: 3084800 | consumed tokens: 6317670400 | elapsed time per iteration (s): 0.30 | learning rate: 9.463E-05 | global batch size: 256 | lm loss: 2.565861E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.454 | TFLOPs: 29.74 | 7: iteration 12060/ 21553 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 0.30 | learning rate: 9.450E-05 | global batch size: 256 | lm loss: 2.573514E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.142 | TFLOPs: 29.87 | 7: iteration 12070/ 21553 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.31 | learning rate: 9.437E-05 | global batch size: 256 | lm loss: 2.598828E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.383 | TFLOPs: 29.07 | 7: iteration 12080/ 21553 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.31 | learning rate: 9.424E-05 | global batch size: 256 | lm loss: 2.580033E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.717 | TFLOPs: 29.33 | 7: iteration 12090/ 21553 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.30 | learning rate: 9.411E-05 | global batch size: 256 | lm loss: 2.575579E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.523 | TFLOPs: 29.70 | 7: iteration 12100/ 21553 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.30 | learning rate: 9.398E-05 | global batch size: 256 | lm loss: 2.571180E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.663 | TFLOPs: 29.64 | 7: iteration 12110/ 21553 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.30 | learning rate: 9.385E-05 | global batch size: 256 | lm loss: 2.545341E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.499 | TFLOPs: 29.67 | 7: iteration 12120/ 21553 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 0.31 | learning rate: 9.372E-05 | global batch size: 256 | lm loss: 2.603357E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.932 | TFLOPs: 29.12 | 7: iteration 12130/ 21553 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.31 | learning rate: 9.359E-05 | global batch size: 256 | lm loss: 2.607740E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.051 | TFLOPs: 28.50 | 7: iteration 12140/ 21553 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.30 | learning rate: 9.346E-05 | global batch size: 256 | lm loss: 2.603347E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.511 | TFLOPs: 29.46 | 7: iteration 12150/ 21553 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.30 | learning rate: 9.332E-05 | global batch size: 256 | lm loss: 2.611771E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.062 | TFLOPs: 29.72 | 7: iteration 12160/ 21553 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.32 | learning rate: 9.319E-05 | global batch size: 256 | lm loss: 2.572646E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.532 | TFLOPs: 28.41 | 7: iteration 12170/ 21553 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.32 | learning rate: 9.306E-05 | global batch size: 256 | lm loss: 2.531855E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.225 | TFLOPs: 28.26 | 7: iteration 12180/ 21553 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.32 | learning rate: 9.293E-05 | global batch size: 256 | lm loss: 2.572527E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.767 | TFLOPs: 28.21 | 7: iteration 12190/ 21553 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 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TFLOPs: 29.79 | 7: iteration 12280/ 21553 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 0.30 | learning rate: 9.164E-05 | global batch size: 256 | lm loss: 2.588468E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.090 | TFLOPs: 29.51 | 7: iteration 12290/ 21553 | consumed samples: 3146240 | consumed tokens: 6443499520 | elapsed time per iteration (s): 0.30 | learning rate: 9.151E-05 | global batch size: 256 | lm loss: 2.598925E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.354 | TFLOPs: 30.08 | 7: iteration 12300/ 21553 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 0.30 | learning rate: 9.138E-05 | global batch size: 256 | lm loss: 2.585420E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.272 | TFLOPs: 29.80 | 7: iteration 12310/ 21553 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.30 | learning rate: 9.125E-05 | global batch size: 256 | lm loss: 2.605919E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.841 | TFLOPs: 29.54 | 7: iteration 12320/ 21553 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.30 | learning rate: 9.112E-05 | global batch size: 256 | lm loss: 2.572305E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.809 | TFLOPs: 29.64 | 7: iteration 12330/ 21553 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.30 | learning rate: 9.099E-05 | global batch size: 256 | lm loss: 2.613672E+00 | grad norm: 0.290 | num zeros: 0.0 | number 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grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.408 | TFLOPs: 29.04 | 7: iteration 12370/ 21553 | consumed samples: 3166720 | consumed tokens: 6485442560 | elapsed time per iteration (s): 0.31 | learning rate: 9.047E-05 | global batch size: 256 | lm loss: 2.582269E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.060 | TFLOPs: 28.60 | 7: iteration 12380/ 21553 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 0.32 | learning rate: 9.034E-05 | global batch size: 256 | lm loss: 2.595776E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.852 | TFLOPs: 28.42 | 7: iteration 12390/ 21553 | consumed samples: 3171840 | consumed tokens: 6495928320 | elapsed time per iteration (s): 0.32 | learning rate: 9.021E-05 | global batch size: 256 | lm loss: 2.558055E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.701 | TFLOPs: 27.93 | 7: iteration 12400/ 21553 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 0.31 | learning rate: 9.008E-05 | global batch size: 256 | lm loss: 2.613459E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.867 | TFLOPs: 29.30 | 7: iteration 12410/ 21553 | consumed samples: 3176960 | consumed tokens: 6506414080 | elapsed time per iteration (s): 0.31 | learning rate: 8.995E-05 | global batch size: 256 | lm loss: 2.618145E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.312 | TFLOPs: 29.07 | 7: iteration 12420/ 21553 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 0.31 | learning rate: 8.982E-05 | global batch size: 256 | lm loss: 2.583735E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.456 | TFLOPs: 29.18 | 7: iteration 12430/ 21553 | consumed samples: 3182080 | consumed tokens: 6516899840 | elapsed time per iteration (s): 0.31 | learning rate: 8.969E-05 | global batch size: 256 | lm loss: 2.592060E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.794 | TFLOPs: 28.70 | 7: iteration 12440/ 21553 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 0.31 | learning rate: 8.957E-05 | global batch size: 256 | lm loss: 2.566640E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.794 | TFLOPs: 29.33 | 7: iteration 12450/ 21553 | consumed samples: 3187200 | consumed tokens: 6527385600 | elapsed time per iteration (s): 0.32 | learning rate: 8.944E-05 | global batch size: 256 | lm loss: 2.588533E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.219 | TFLOPs: 28.22 | 7: iteration 12460/ 21553 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 0.39 | learning rate: 8.931E-05 | global batch size: 256 | lm loss: 2.617271E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 650.804 | TFLOPs: 22.78 | 7: iteration 12470/ 21553 | consumed samples: 3192320 | consumed tokens: 6537871360 | elapsed time per iteration (s): 0.35 | learning rate: 8.918E-05 | global batch size: 256 | lm loss: 2.588492E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 741.179 | TFLOPs: 25.95 | 7: iteration 12480/ 21553 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 0.32 | learning rate: 8.905E-05 | global batch size: 256 | lm loss: 2.560762E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.072 | TFLOPs: 28.04 | 7: iteration 12490/ 21553 | consumed samples: 3197440 | consumed tokens: 6548357120 | elapsed time per iteration (s): 0.31 | learning rate: 8.892E-05 | global batch size: 256 | lm loss: 2.559372E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.271 | TFLOPs: 29.28 | 7: iteration 12500/ 21553 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 0.60 | learning rate: 8.879E-05 | global batch size: 256 | lm loss: 2.564254E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 424.281 | TFLOPs: 14.85 | 7: iteration 12510/ 21553 | consumed samples: 3202560 | consumed tokens: 6558842880 | elapsed time per iteration (s): 0.31 | learning rate: 8.866E-05 | global batch size: 256 | lm loss: 2.564607E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.434 | TFLOPs: 29.32 | 7: iteration 12520/ 21553 | consumed samples: 3205120 | consumed tokens: 6564085760 | elapsed time per iteration (s): 0.30 | learning rate: 8.853E-05 | global batch size: 256 | lm loss: 2.593533E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.947 | TFLOPs: 29.47 | 7: iteration 12530/ 21553 | consumed samples: 3207680 | consumed tokens: 6569328640 | elapsed time per iteration (s): 0.30 | learning rate: 8.841E-05 | global batch size: 256 | lm loss: 2.569143E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.770 | TFLOPs: 29.47 | 7: iteration 12540/ 21553 | consumed samples: 3210240 | consumed tokens: 6574571520 | elapsed time per iteration (s): 0.31 | learning rate: 8.828E-05 | global batch size: 256 | lm loss: 2.551745E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.687 | TFLOPs: 29.29 | 7: iteration 12550/ 21553 | consumed samples: 3212800 | consumed tokens: 6579814400 | elapsed time per iteration (s): 0.31 | learning rate: 8.815E-05 | global batch size: 256 | lm loss: 2.585895E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.561 | TFLOPs: 29.18 | 7: iteration 12560/ 21553 | consumed samples: 3215360 | consumed tokens: 6585057280 | elapsed time per iteration (s): 0.30 | learning rate: 8.802E-05 | global batch size: 256 | lm loss: 2.620912E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.161 | TFLOPs: 29.52 | 7: iteration 12570/ 21553 | consumed samples: 3217920 | consumed tokens: 6590300160 | elapsed time per iteration (s): 0.30 | learning rate: 8.789E-05 | global batch size: 256 | lm loss: 2.583041E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.905 | TFLOPs: 29.82 | 7: iteration 12580/ 21553 | consumed samples: 3220480 | consumed tokens: 6595543040 | elapsed time per iteration (s): 0.31 | learning rate: 8.776E-05 | global batch size: 256 | lm loss: 2.583641E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.009 | TFLOPs: 29.27 | 7: iteration 12590/ 21553 | consumed samples: 3223040 | consumed tokens: 6600785920 | elapsed time per iteration (s): 0.30 | learning rate: 8.763E-05 | global batch size: 256 | lm loss: 2.606018E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.633 | TFLOPs: 29.39 | 7: iteration 12600/ 21553 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 0.31 | learning rate: 8.751E-05 | global batch size: 256 | lm loss: 2.578475E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.973 | TFLOPs: 29.23 | 7: iteration 12610/ 21553 | consumed samples: 3228160 | consumed tokens: 6611271680 | elapsed time per iteration (s): 0.30 | learning rate: 8.738E-05 | global batch size: 256 | lm loss: 2.572207E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.923 | TFLOPs: 29.75 | 7: iteration 12620/ 21553 | consumed samples: 3230720 | consumed tokens: 6616514560 | elapsed time per iteration (s): 0.30 | learning rate: 8.725E-05 | global batch size: 256 | lm loss: 2.552774E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.720 | TFLOPs: 29.64 | 7: iteration 12630/ 21553 | consumed samples: 3233280 | consumed tokens: 6621757440 | elapsed time per iteration (s): 0.32 | learning rate: 8.712E-05 | global batch size: 256 | lm loss: 2.613457E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.032 | TFLOPs: 27.97 | 7: iteration 12640/ 21553 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 0.31 | learning rate: 8.699E-05 | global batch size: 256 | lm loss: 2.586473E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.940 | TFLOPs: 29.23 | 7: iteration 12650/ 21553 | consumed samples: 3238400 | consumed tokens: 6632243200 | elapsed time per iteration (s): 0.39 | learning rate: 8.687E-05 | global batch size: 256 | lm loss: 2.563609E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 659.306 | TFLOPs: 23.08 | 7: iteration 12660/ 21553 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 0.31 | learning rate: 8.674E-05 | global batch size: 256 | lm loss: 2.576134E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.623 | TFLOPs: 29.22 | 7: iteration 12670/ 21553 | consumed samples: 3243520 | consumed tokens: 6642728960 | elapsed time per iteration (s): 0.31 | learning rate: 8.661E-05 | global batch size: 256 | lm loss: 2.572902E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.641 | TFLOPs: 28.87 | 7: iteration 12680/ 21553 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 0.30 | learning rate: 8.648E-05 | global batch size: 256 | lm loss: 2.607874E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.867 | TFLOPs: 29.44 | 7: iteration 12690/ 21553 | consumed samples: 3248640 | consumed tokens: 6653214720 | elapsed time per iteration (s): 0.31 | learning rate: 8.635E-05 | global batch size: 256 | lm loss: 2.566697E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.762 | TFLOPs: 29.26 | 7: iteration 12700/ 21553 | consumed samples: 3251200 | consumed tokens: 6658457600 | elapsed time per iteration (s): 0.31 | learning rate: 8.623E-05 | global batch size: 256 | lm loss: 2.581631E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.214 | TFLOPs: 29.27 | 7: iteration 12710/ 21553 | consumed samples: 3253760 | consumed tokens: 6663700480 | elapsed time per iteration (s): 0.31 | learning rate: 8.610E-05 | global batch size: 256 | lm loss: 2.567514E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.988 | TFLOPs: 29.13 | 7: iteration 12720/ 21553 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 0.30 | learning rate: 8.597E-05 | global batch size: 256 | lm loss: 2.562744E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.433 | TFLOPs: 29.42 | 7: iteration 12730/ 21553 | consumed samples: 3258880 | consumed tokens: 6674186240 | elapsed time per iteration (s): 0.31 | learning rate: 8.584E-05 | global batch size: 256 | lm loss: 2.555476E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.992 | TFLOPs: 28.85 | 7: iteration 12740/ 21553 | consumed samples: 3261440 | consumed tokens: 6679429120 | elapsed time per iteration (s): 0.31 | learning rate: 8.571E-05 | global batch size: 256 | lm loss: 2.567249E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.322 | TFLOPs: 29.38 | 7: iteration 12750/ 21553 | consumed samples: 3264000 | consumed tokens: 6684672000 | elapsed time per iteration (s): 0.30 | learning rate: 8.559E-05 | global batch size: 256 | lm loss: 2.605775E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.342 | TFLOPs: 29.70 | 7: iteration 12760/ 21553 | consumed samples: 3266560 | consumed tokens: 6689914880 | elapsed time per iteration (s): 0.30 | learning rate: 8.546E-05 | global batch size: 256 | lm loss: 2.578038E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.920 | TFLOPs: 29.51 | 7: iteration 12770/ 21553 | consumed samples: 3269120 | consumed tokens: 6695157760 | elapsed time per iteration (s): 0.30 | learning rate: 8.533E-05 | global batch size: 256 | lm loss: 2.565807E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.122 | TFLOPs: 29.80 | 7: iteration 12780/ 21553 | consumed samples: 3271680 | consumed tokens: 6700400640 | elapsed time per iteration (s): 0.30 | learning rate: 8.520E-05 | global batch size: 256 | lm loss: 2.581650E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.125 | TFLOPs: 29.41 | 7: iteration 12790/ 21553 | consumed samples: 3274240 | consumed tokens: 6705643520 | elapsed time per iteration (s): 0.30 | learning rate: 8.508E-05 | global batch size: 256 | lm loss: 2.567331E+00 | grad norm: 0.310 | num zeros: 0.0 | number 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consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 0.31 | learning rate: 8.317E-05 | global batch size: 256 | lm loss: 2.589602E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.728 | TFLOPs: 28.66 | 7: iteration 12950/ 21553 | consumed samples: 3315200 | consumed tokens: 6789529600 | elapsed time per iteration (s): 0.31 | learning rate: 8.305E-05 | global batch size: 256 | lm loss: 2.566719E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.026 | TFLOPs: 29.37 | 7: iteration 12960/ 21553 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 0.32 | learning rate: 8.292E-05 | global batch size: 256 | lm loss: 2.544707E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.709 | 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iterations: 0 | samples per second: 847.436 | TFLOPs: 29.67 | 7: iteration 13000/ 21553 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 0.30 | learning rate: 8.242E-05 | global batch size: 256 | lm loss: 2.584682E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.925 | TFLOPs: 29.51 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 13000 | lm loss value: 2.494754E+00 | lm loss PPL: 1.211876E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 13000 to checkpoints_146m 0: [2022-11-25 18:39:12,872] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step13000 is begin to save! 0: [2022-11-25 18:39:12,878] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_146m/global_step13000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step13000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-25 18:39:13,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 0: successfully saved checkpoint at iteration 13000 to checkpoints_146m 7: time (ms) | save-checkpoint: 508.07 7: iteration 13010/ 21553 | consumed samples: 3330560 | consumed tokens: 6820986880 | elapsed time per iteration (s): 0.37 | learning rate: 8.229E-05 | global batch size: 256 | lm loss: 2.589902E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 700.296 | TFLOPs: 24.52 | 7: iteration 13020/ 21553 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 0.31 | learning rate: 8.216E-05 | global batch size: 256 | lm loss: 2.567810E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.673 | TFLOPs: 29.29 | 7: iteration 13030/ 21553 | consumed samples: 3335680 | consumed tokens: 6831472640 | elapsed time per iteration (s): 0.30 | learning rate: 8.204E-05 | global batch size: 256 | lm loss: 2.555233E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.028 | TFLOPs: 29.55 | 7: iteration 13040/ 21553 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 0.31 | learning rate: 8.191E-05 | global batch size: 256 | lm loss: 2.579287E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.780 | TFLOPs: 29.29 | 7: iteration 13050/ 21553 | consumed samples: 3340800 | consumed tokens: 6841958400 | elapsed time per iteration (s): 0.30 | learning rate: 8.179E-05 | global batch size: 256 | lm loss: 2.535667E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.404 | TFLOPs: 29.91 | 7: iteration 13060/ 21553 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 0.30 | learning rate: 8.166E-05 | global batch size: 256 | lm loss: 2.565109E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.550 | TFLOPs: 29.53 | 7: iteration 13070/ 21553 | consumed samples: 3345920 | consumed tokens: 6852444160 | elapsed time per iteration (s): 0.31 | learning rate: 8.153E-05 | global batch size: 256 | lm loss: 2.585560E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.949 | TFLOPs: 28.84 | 7: iteration 13080/ 21553 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 0.31 | learning rate: 8.141E-05 | global batch size: 256 | lm loss: 2.599351E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.973 | TFLOPs: 29.06 | 7: iteration 13090/ 21553 | consumed samples: 3351040 | consumed tokens: 6862929920 | elapsed time per iteration (s): 0.30 | learning rate: 8.128E-05 | global batch size: 256 | lm loss: 2.568915E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.252 | TFLOPs: 29.59 | 7: iteration 13100/ 21553 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 0.30 | learning rate: 8.116E-05 | global batch size: 256 | lm loss: 2.602628E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.432 | TFLOPs: 29.53 | 7: iteration 13110/ 21553 | consumed samples: 3356160 | consumed tokens: 6873415680 | elapsed time per iteration (s): 0.31 | learning rate: 8.103E-05 | global batch size: 256 | lm loss: 2.569120E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.291 | TFLOPs: 29.35 | 7: iteration 13120/ 21553 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 0.30 | learning rate: 8.091E-05 | global batch size: 256 | lm loss: 2.578152E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.577 | TFLOPs: 29.67 | 7: iteration 13130/ 21553 | consumed samples: 3361280 | consumed tokens: 6883901440 | elapsed time per iteration (s): 0.31 | learning rate: 8.078E-05 | global batch size: 256 | lm loss: 2.551689E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.297 | TFLOPs: 29.35 | 7: iteration 13140/ 21553 | consumed samples: 3363840 | consumed tokens: 6889144320 | elapsed time per iteration (s): 0.30 | learning rate: 8.066E-05 | global batch size: 256 | lm loss: 2.528173E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.826 | TFLOPs: 29.72 | 7: iteration 13150/ 21553 | consumed samples: 3366400 | consumed tokens: 6894387200 | elapsed time per iteration (s): 0.31 | learning rate: 8.053E-05 | global batch size: 256 | lm loss: 2.580431E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.021 | TFLOPs: 29.23 | 7: iteration 13160/ 21553 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 0.31 | learning rate: 8.041E-05 | global batch size: 256 | lm loss: 2.583057E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.083 | TFLOPs: 28.81 | 7: iteration 13170/ 21553 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.31 | learning rate: 8.028E-05 | global batch size: 256 | lm loss: 2.573564E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.278 | TFLOPs: 29.17 | 7: iteration 13180/ 21553 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.31 | learning rate: 8.016E-05 | global batch size: 256 | lm loss: 2.539348E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.837 | TFLOPs: 29.19 | 7: iteration 13190/ 21553 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.30 | learning rate: 8.003E-05 | global batch size: 256 | lm loss: 2.583123E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.459 | TFLOPs: 29.63 | 7: iteration 13200/ 21553 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.30 | learning rate: 7.991E-05 | global batch size: 256 | lm loss: 2.570624E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.726 | TFLOPs: 29.75 | 7: iteration 13210/ 21553 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 0.31 | learning rate: 7.978E-05 | global batch size: 256 | lm loss: 2.537340E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.518 | TFLOPs: 29.07 | 7: iteration 13220/ 21553 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 0.30 | learning rate: 7.966E-05 | global batch size: 256 | lm loss: 2.592156E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.769 | TFLOPs: 29.50 | 7: iteration 13230/ 21553 | consumed samples: 3386880 | consumed tokens: 6936330240 | elapsed time per iteration (s): 0.31 | learning rate: 7.953E-05 | global batch size: 256 | lm loss: 2.581315E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.905 | TFLOPs: 28.63 | 7: iteration 13240/ 21553 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 0.31 | learning rate: 7.941E-05 | global batch size: 256 | lm loss: 2.575110E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.701 | TFLOPs: 28.98 | 7: iteration 13250/ 21553 | consumed samples: 3392000 | consumed tokens: 6946816000 | elapsed time per iteration (s): 0.30 | learning rate: 7.928E-05 | global batch size: 256 | lm loss: 2.579580E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.478 | TFLOPs: 29.39 | 7: iteration 13260/ 21553 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.31 | learning rate: 7.916E-05 | global batch size: 256 | lm loss: 2.590501E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.147 | TFLOPs: 29.24 | 7: iteration 13270/ 21553 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.31 | learning rate: 7.903E-05 | global batch size: 256 | lm loss: 2.588558E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.551 | TFLOPs: 29.32 | 7: iteration 13280/ 21553 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.31 | learning rate: 7.891E-05 | global batch size: 256 | lm loss: 2.542483E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.962 | TFLOPs: 29.09 | 7: iteration 13290/ 21553 | consumed samples: 3402240 | consumed tokens: 6967787520 | elapsed time per iteration (s): 0.30 | learning rate: 7.878E-05 | global batch size: 256 | lm loss: 2.593436E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.074 | TFLOPs: 29.41 | 7: iteration 13300/ 21553 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 0.31 | learning rate: 7.866E-05 | global batch size: 256 | lm loss: 2.582018E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.439 | TFLOPs: 28.72 | 7: iteration 13310/ 21553 | consumed samples: 3407360 | consumed tokens: 6978273280 | elapsed time per iteration (s): 0.31 | learning rate: 7.854E-05 | global batch size: 256 | lm loss: 2.584920E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.925 | TFLOPs: 29.16 | 7: iteration 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second: 817.050 | TFLOPs: 28.60 | 7: iteration 13350/ 21553 | consumed samples: 3417600 | consumed tokens: 6999244800 | elapsed time per iteration (s): 0.31 | learning rate: 7.804E-05 | global batch size: 256 | lm loss: 2.561988E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.054 | TFLOPs: 29.37 | 7: iteration 13360/ 21553 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 0.31 | learning rate: 7.792E-05 | global batch size: 256 | lm loss: 2.573067E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.516 | TFLOPs: 29.07 | 7: iteration 13370/ 21553 | consumed samples: 3422720 | consumed tokens: 7009730560 | elapsed time per iteration (s): 0.30 | learning rate: 7.779E-05 | global batch size: 256 | lm loss: 2.571330E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.451 | TFLOPs: 29.88 | 7: iteration 13380/ 21553 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 0.32 | learning rate: 7.767E-05 | global batch size: 256 | lm loss: 2.563669E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 793.902 | TFLOPs: 27.79 | 7: iteration 13390/ 21553 | consumed samples: 3427840 | consumed tokens: 7020216320 | elapsed time per iteration (s): 0.32 | learning rate: 7.754E-05 | global batch size: 256 | lm loss: 2.573513E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.619 | TFLOPs: 28.31 | 7: iteration 13400/ 21553 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 0.30 | learning rate: 7.742E-05 | global batch size: 256 | lm loss: 2.573842E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.393 | TFLOPs: 29.45 | 7: iteration 13410/ 21553 | consumed samples: 3432960 | consumed tokens: 7030702080 | elapsed time per iteration (s): 0.31 | learning rate: 7.730E-05 | global batch size: 256 | lm loss: 2.600037E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.425 | TFLOPs: 28.97 | 7: iteration 13420/ 21553 | consumed samples: 3435520 | consumed tokens: 7035944960 | elapsed time per iteration (s): 0.31 | learning rate: 7.717E-05 | global batch size: 256 | lm loss: 2.611860E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.048 | TFLOPs: 28.46 | 7: iteration 13430/ 21553 | consumed samples: 3438080 | consumed tokens: 7041187840 | elapsed time per iteration (s): 0.30 | learning rate: 7.705E-05 | global batch size: 256 | lm loss: 2.554832E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.687 | TFLOPs: 29.47 | 7: iteration 13440/ 21553 | consumed samples: 3440640 | consumed tokens: 7046430720 | elapsed time per iteration (s): 0.30 | learning rate: 7.693E-05 | global batch size: 256 | lm loss: 2.565869E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.057 | TFLOPs: 29.58 | 7: iteration 13450/ 21553 | consumed samples: 3443200 | consumed tokens: 7051673600 | elapsed time per iteration (s): 0.30 | learning rate: 7.680E-05 | global batch size: 256 | lm loss: 2.582751E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.526 | TFLOPs: 29.56 | 7: iteration 13460/ 21553 | consumed samples: 3445760 | consumed tokens: 7056916480 | elapsed time per iteration (s): 0.31 | learning rate: 7.668E-05 | global batch size: 256 | lm loss: 2.595103E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.388 | TFLOPs: 29.35 | 7: iteration 13470/ 21553 | consumed samples: 3448320 | consumed tokens: 7062159360 | elapsed time per iteration (s): 0.31 | learning rate: 7.656E-05 | global batch size: 256 | lm loss: 2.540635E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.704 | TFLOPs: 29.36 | 7: iteration 13480/ 21553 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 0.30 | learning rate: 7.644E-05 | global batch size: 256 | lm loss: 2.562890E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.873 | TFLOPs: 29.79 | 7: iteration 13490/ 21553 | consumed samples: 3453440 | consumed tokens: 7072645120 | elapsed time per iteration (s): 0.30 | learning rate: 7.631E-05 | global batch size: 256 | lm loss: 2.552484E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.531 | TFLOPs: 29.53 | 7: iteration 13500/ 21553 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 0.31 | learning rate: 7.619E-05 | global batch size: 256 | lm loss: 2.544411E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.108 | TFLOPs: 29.02 | 7: iteration 13510/ 21553 | consumed samples: 3458560 | consumed tokens: 7083130880 | elapsed time per iteration (s): 0.30 | learning rate: 7.607E-05 | global batch size: 256 | lm loss: 2.587000E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.114 | TFLOPs: 29.90 | 7: iteration 13520/ 21553 | consumed samples: 3461120 | 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7.110E-05 | global batch size: 256 | lm loss: 2.552744E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.123 | TFLOPs: 30.01 | 7: iteration 13930/ 21553 | consumed samples: 3566080 | consumed tokens: 7303331840 | elapsed time per iteration (s): 0.30 | learning rate: 7.098E-05 | global batch size: 256 | lm loss: 2.565018E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.186 | TFLOPs: 29.73 | 7: iteration 13940/ 21553 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 0.31 | learning rate: 7.086E-05 | global batch size: 256 | lm loss: 2.592727E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.843 | TFLOPs: 29.30 | 7: iteration 13950/ 21553 | consumed samples: 3571200 | consumed tokens: 7313817600 | elapsed time per iteration (s): 0.31 | learning rate: 7.074E-05 | global batch size: 256 | lm loss: 2.584693E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.173 | TFLOPs: 29.34 | 7: iteration 13960/ 21553 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 0.31 | learning rate: 7.062E-05 | global batch size: 256 | lm loss: 2.570567E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.827 | TFLOPs: 29.22 | 7: iteration 13970/ 21553 | consumed samples: 3576320 | consumed tokens: 7324303360 | elapsed time per iteration (s): 0.30 | learning rate: 7.050E-05 | global batch size: 256 | lm loss: 2.554182E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.052 | TFLOPs: 29.83 | 7: iteration 13980/ 21553 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.30 | learning rate: 7.038E-05 | global batch size: 256 | lm loss: 2.571668E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.215 | TFLOPs: 29.55 | 7: iteration 13990/ 21553 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.30 | learning rate: 7.027E-05 | global batch size: 256 | lm loss: 2.535171E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.586 | TFLOPs: 29.99 | 0: [2022-11-25 18:44:19,514] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[7.014654688611906e-05, 7.014654688611906e-05, 7.014654688611906e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 14000/ 21553 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.31 | learning rate: 7.015E-05 | global batch size: 256 | lm loss: 2.542315E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.947 | TFLOPs: 28.88 | 0: steps: 14000 loss: 2.5635 iter time (s): 0.306 samples/sec: 837.003 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 14000 | lm loss value: 2.472280E+00 | lm loss PPL: 1.184944E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 14000 to checkpoints_146m 0: [2022-11-25 18:44:19,647] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14000 is begin to save! 0: [2022-11-25 18:44:19,650] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step14000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:44:19,736] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146m/global_step14000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:44:20,028] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step14000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-25 18:44:20,028] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-25 18:44:20,029] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step14000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:44:20,029] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step14000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 18:44:20,029] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: [2022-11-25 18:44:20,032] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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skipped iterations: 0 | number of nan iterations: 0 | samples per second: 721.748 | TFLOPs: 25.27 | 7: iteration 14020/ 21553 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 0.31 | learning rate: 6.991E-05 | global batch size: 256 | lm loss: 2.577376E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.544 | TFLOPs: 29.04 | 7: iteration 14030/ 21553 | consumed samples: 3591680 | consumed tokens: 7355760640 | elapsed time per iteration (s): 0.30 | learning rate: 6.979E-05 | global batch size: 256 | lm loss: 2.587173E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.760 | TFLOPs: 29.54 | 7: iteration 14040/ 21553 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 0.30 | learning rate: 6.967E-05 | global batch size: 256 | lm loss: 2.556122E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.340 | TFLOPs: 29.70 | 7: iteration 14050/ 21553 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.30 | learning rate: 6.955E-05 | global batch size: 256 | lm loss: 2.542619E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.521 | TFLOPs: 29.49 | 7: iteration 14060/ 21553 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.31 | learning rate: 6.944E-05 | global batch size: 256 | lm loss: 2.550421E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.360 | TFLOPs: 28.93 | 7: iteration 14070/ 21553 | consumed samples: 3601920 | consumed tokens: 7376732160 | elapsed time per iteration (s): 0.30 | learning rate: 6.932E-05 | global batch size: 256 | lm loss: 2.529054E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.481 | TFLOPs: 29.63 | 7: iteration 14080/ 21553 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 0.30 | learning rate: 6.920E-05 | global batch size: 256 | lm loss: 2.577988E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.375 | TFLOPs: 29.80 | 7: iteration 14090/ 21553 | consumed samples: 3607040 | consumed tokens: 7387217920 | elapsed time per iteration (s): 0.31 | learning rate: 6.908E-05 | global batch size: 256 | lm loss: 2.537414E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.864 | TFLOPs: 29.16 | 7: iteration 14100/ 21553 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.30 | learning rate: 6.896E-05 | global batch size: 256 | lm loss: 2.570661E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.954 | TFLOPs: 29.65 | 7: iteration 14110/ 21553 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.31 | learning rate: 6.884E-05 | global batch size: 256 | lm loss: 2.573512E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.033 | TFLOPs: 28.95 | 7: iteration 14120/ 21553 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.31 | learning rate: 6.873E-05 | global batch size: 256 | lm loss: 2.573488E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.141 | TFLOPs: 29.06 | 7: iteration 14130/ 21553 | consumed samples: 3617280 | consumed tokens: 7408189440 | elapsed time per iteration (s): 0.31 | learning rate: 6.861E-05 | global batch size: 256 | lm loss: 2.590846E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.153 | TFLOPs: 29.13 | 7: iteration 14140/ 21553 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 0.30 | learning rate: 6.849E-05 | global batch size: 256 | lm loss: 2.547353E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.110 | TFLOPs: 29.44 | 7: iteration 14150/ 21553 | consumed samples: 3622400 | consumed tokens: 7418675200 | elapsed time per iteration (s): 0.30 | learning rate: 6.837E-05 | global batch size: 256 | lm loss: 2.586726E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.086 | TFLOPs: 29.93 | 7: iteration 14160/ 21553 | consumed 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| samples per second: 842.691 | TFLOPs: 29.50 | 7: iteration 14220/ 21553 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 0.30 | learning rate: 6.755E-05 | global batch size: 256 | lm loss: 2.578555E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.852 | TFLOPs: 29.54 | 7: iteration 14230/ 21553 | consumed samples: 3642880 | consumed tokens: 7460618240 | elapsed time per iteration (s): 0.30 | learning rate: 6.744E-05 | global batch size: 256 | lm loss: 2.555728E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.333 | TFLOPs: 29.80 | 7: iteration 14240/ 21553 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 0.30 | learning rate: 6.732E-05 | global batch size: 256 | lm loss: 2.578817E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.304 | TFLOPs: 29.87 | 7: iteration 14250/ 21553 | consumed samples: 3648000 | consumed tokens: 7471104000 | elapsed time per iteration (s): 0.30 | learning rate: 6.720E-05 | global batch size: 256 | lm loss: 2.576795E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.298 | TFLOPs: 29.70 | 7: iteration 14260/ 21553 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 0.30 | learning rate: 6.709E-05 | global batch size: 256 | lm loss: 2.590882E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.019 | TFLOPs: 29.62 | 7: iteration 14270/ 21553 | consumed samples: 3653120 | consumed tokens: 7481589760 | elapsed time per iteration (s): 0.31 | learning rate: 6.697E-05 | global batch size: 256 | lm loss: 2.544086E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.242 | TFLOPs: 28.85 | 7: iteration 14280/ 21553 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 0.30 | learning rate: 6.685E-05 | global batch size: 256 | lm loss: 2.560090E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.647 | TFLOPs: 29.71 | 7: iteration 14290/ 21553 | consumed samples: 3658240 | consumed tokens: 7492075520 | elapsed time per iteration (s): 0.31 | learning rate: 6.674E-05 | global batch size: 256 | lm loss: 2.576832E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.941 | TFLOPs: 29.23 | 7: iteration 14300/ 21553 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 0.31 | learning rate: 6.662E-05 | global batch size: 256 | lm loss: 2.514705E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.946 | TFLOPs: 28.88 | 7: iteration 14310/ 21553 | consumed samples: 3663360 | consumed tokens: 7502561280 | elapsed time per iteration (s): 0.31 | learning rate: 6.651E-05 | global batch size: 256 | lm loss: 2.523824E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.219 | TFLOPs: 29.10 | 7: iteration 14320/ 21553 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 0.30 | learning rate: 6.639E-05 | global batch size: 256 | lm loss: 2.528566E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.523 | TFLOPs: 29.56 | 7: iteration 14330/ 21553 | consumed samples: 3668480 | consumed tokens: 7513047040 | elapsed time per iteration (s): 0.30 | 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29.32 | 7: iteration 14420/ 21553 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 0.30 | learning rate: 6.524E-05 | global batch size: 256 | lm loss: 2.555654E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.553 | TFLOPs: 29.67 | 7: iteration 14430/ 21553 | consumed samples: 3694080 | consumed tokens: 7565475840 | elapsed time per iteration (s): 0.30 | learning rate: 6.512E-05 | global batch size: 256 | lm loss: 2.565345E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.943 | TFLOPs: 29.75 | 7: iteration 14440/ 21553 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 0.32 | learning rate: 6.501E-05 | global batch size: 256 | lm loss: 2.529091E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 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256 | lm loss: 2.552359E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.286 | TFLOPs: 28.44 | 7: iteration 14540/ 21553 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 0.30 | learning rate: 6.386E-05 | global batch size: 256 | lm loss: 2.566722E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.508 | TFLOPs: 29.81 | 7: iteration 14550/ 21553 | consumed samples: 3724800 | consumed tokens: 7628390400 | elapsed time per iteration (s): 0.30 | learning rate: 6.375E-05 | global batch size: 256 | lm loss: 2.533042E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.854 | TFLOPs: 29.61 | 7: iteration 14560/ 21553 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 0.30 | 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| elapsed time per iteration (s): 0.30 | learning rate: 6.330E-05 | global batch size: 256 | lm loss: 2.570539E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.645 | TFLOPs: 29.81 | 7: iteration 14600/ 21553 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 0.30 | learning rate: 6.318E-05 | global batch size: 256 | lm loss: 2.581050E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.116 | TFLOPs: 29.73 | 7: iteration 14610/ 21553 | consumed samples: 3740160 | consumed tokens: 7659847680 | elapsed time per iteration (s): 0.30 | learning rate: 6.307E-05 | global batch size: 256 | lm loss: 2.563060E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.590 | TFLOPs: 29.99 | 7: iteration 14620/ 21553 | consumed 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iterations: 0 | number of nan iterations: 0 | samples per second: 827.967 | TFLOPs: 28.98 | 7: iteration 14710/ 21553 | consumed samples: 3765760 | consumed tokens: 7712276480 | elapsed time per iteration (s): 0.32 | learning rate: 6.194E-05 | global batch size: 256 | lm loss: 2.542106E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.639 | TFLOPs: 27.75 | 7: iteration 14720/ 21553 | consumed samples: 3768320 | consumed tokens: 7717519360 | elapsed time per iteration (s): 0.31 | learning rate: 6.183E-05 | global batch size: 256 | lm loss: 2.560979E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.841 | TFLOPs: 29.23 | 7: iteration 14730/ 21553 | consumed samples: 3770880 | consumed tokens: 7722762240 | elapsed time per iteration (s): 0.30 | learning rate: 6.172E-05 | global batch size: 256 | lm loss: 2.561361E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.991 | TFLOPs: 29.79 | 7: iteration 14740/ 21553 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 0.31 | learning rate: 6.161E-05 | global batch size: 256 | lm loss: 2.559471E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.383 | TFLOPs: 29.03 | 7: iteration 14750/ 21553 | consumed samples: 3776000 | consumed tokens: 7733248000 | elapsed time per iteration (s): 0.31 | learning rate: 6.150E-05 | global batch size: 256 | lm loss: 2.561457E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.449 | TFLOPs: 29.18 | 7: iteration 14760/ 21553 | consumed samples: 3778560 | consumed tokens: 7738490880 | elapsed time per iteration (s): 0.30 | learning rate: 6.139E-05 | global batch size: 256 | lm loss: 2.537438E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.544 | TFLOPs: 29.57 | 7: iteration 14770/ 21553 | consumed samples: 3781120 | consumed tokens: 7743733760 | elapsed time per iteration (s): 0.30 | learning rate: 6.127E-05 | global batch size: 256 | lm loss: 2.544954E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.512 | TFLOPs: 29.49 | 7: iteration 14780/ 21553 | consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 0.32 | learning rate: 6.116E-05 | global batch size: 256 | lm loss: 2.581574E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.650 | TFLOPs: 28.06 | 7: iteration 14790/ 21553 | consumed samples: 3786240 | consumed tokens: 7754219520 | elapsed time per iteration (s): 0.31 | learning rate: 6.105E-05 | global batch size: 256 | lm loss: 2.572382E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.443 | TFLOPs: 28.69 | 7: iteration 14800/ 21553 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 0.30 | learning rate: 6.094E-05 | global batch size: 256 | lm loss: 2.543392E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.855 | TFLOPs: 29.40 | 7: iteration 14810/ 21553 | consumed samples: 3791360 | consumed tokens: 7764705280 | elapsed time per iteration (s): 0.31 | learning rate: 6.083E-05 | global batch size: 256 | lm loss: 2.587545E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.333 | TFLOPs: 28.47 | 7: iteration 14820/ 21553 | consumed samples: 3793920 | consumed tokens: 7769948160 | elapsed time per iteration (s): 0.33 | learning rate: 6.072E-05 | global batch size: 256 | lm loss: 2.529985E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 787.086 | TFLOPs: 27.55 | 7: iteration 14830/ 21553 | consumed samples: 3796480 | consumed tokens: 7775191040 | elapsed time per iteration (s): 0.31 | learning rate: 6.061E-05 | global batch size: 256 | lm loss: 2.559328E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.246 | TFLOPs: 29.31 | 7: iteration 14840/ 21553 | consumed samples: 3799040 | consumed tokens: 7780433920 | elapsed time per iteration (s): 0.31 | learning rate: 6.050E-05 | global batch size: 256 | lm loss: 2.540440E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.640 | TFLOPs: 28.83 | 7: iteration 14850/ 21553 | consumed 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29.23 | 7: iteration 14880/ 21553 | consumed samples: 3809280 | consumed tokens: 7801405440 | elapsed time per iteration (s): 0.31 | learning rate: 6.005E-05 | global batch size: 256 | lm loss: 2.547014E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.009 | TFLOPs: 29.23 | 7: iteration 14890/ 21553 | consumed samples: 3811840 | consumed tokens: 7806648320 | elapsed time per iteration (s): 0.32 | learning rate: 5.994E-05 | global batch size: 256 | lm loss: 2.527672E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.033 | TFLOPs: 27.87 | 7: iteration 14900/ 21553 | consumed samples: 3814400 | consumed tokens: 7811891200 | elapsed time per iteration (s): 0.31 | learning rate: 5.983E-05 | global batch size: 256 | lm loss: 2.530779E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.063 | TFLOPs: 28.81 | 7: iteration 14910/ 21553 | consumed samples: 3816960 | consumed tokens: 7817134080 | elapsed time per iteration (s): 0.30 | learning rate: 5.972E-05 | global batch size: 256 | lm loss: 2.571278E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.363 | TFLOPs: 29.49 | 7: iteration 14920/ 21553 | consumed samples: 3819520 | consumed tokens: 7822376960 | elapsed time per iteration (s): 0.30 | learning rate: 5.961E-05 | global batch size: 256 | lm loss: 2.530407E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.142 | TFLOPs: 29.83 | 7: iteration 14930/ 21553 | consumed samples: 3822080 | consumed tokens: 7827619840 | elapsed time per iteration (s): 0.32 | learning rate: 5.950E-05 | global batch size: 256 | lm loss: 2.535612E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.771 | TFLOPs: 27.89 | 7: iteration 14940/ 21553 | consumed samples: 3824640 | consumed tokens: 7832862720 | elapsed time per iteration (s): 0.31 | learning rate: 5.940E-05 | global batch size: 256 | lm loss: 2.558547E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.552 | TFLOPs: 28.94 | 7: iteration 14950/ 21553 | consumed samples: 3827200 | consumed tokens: 7838105600 | elapsed time per iteration (s): 0.31 | learning rate: 5.929E-05 | global batch size: 256 | lm loss: 2.529549E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.138 | TFLOPs: 29.31 | 7: iteration 14960/ 21553 | consumed samples: 3829760 | consumed tokens: 7843348480 | elapsed time per iteration (s): 0.30 | learning rate: 5.918E-05 | global batch size: 256 | lm loss: 2.503419E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.112 | TFLOPs: 29.52 | 7: iteration 14970/ 21553 | consumed samples: 3832320 | consumed tokens: 7848591360 | elapsed time per iteration (s): 0.31 | learning rate: 5.907E-05 | global batch size: 256 | lm loss: 2.542283E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.298 | TFLOPs: 29.31 | 7: iteration 14980/ 21553 | consumed samples: 3834880 | consumed tokens: 7853834240 | elapsed time per iteration (s): 0.30 | learning rate: 5.896E-05 | global batch size: 256 | lm loss: 2.552258E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.056 | TFLOPs: 29.86 | 7: iteration 14990/ 21553 | consumed samples: 3837440 | consumed tokens: 7859077120 | elapsed time per iteration (s): 0.31 | learning rate: 5.885E-05 | global batch size: 256 | lm loss: 2.599643E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.084 | TFLOPs: 29.06 | 7: iteration 15000/ 21553 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 0.31 | learning rate: 5.874E-05 | global batch size: 256 | lm loss: 2.539708E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.262 | TFLOPs: 29.10 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 15000 | lm loss value: 2.525887E+00 | lm loss PPL: 1.250198E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 15000 to checkpoints_146m 0: [2022-11-25 18:49:26,330] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step15000 is begin to save! 0: [2022-11-25 18:49:26,334] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step15000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:49:26,418] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step15000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:49:26,418] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step15000/layer_03-model_00-model_states.pt... 0: [2022-11-25 18:49:26,433] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step15000/layer_03-model_00-model_states.pt. 0: [2022-11-25 18:49:26,434] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step15000/layer_04-model_00-model_states.pt... 0: [2022-11-25 18:49:26,448] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step15000/layer_04-model_00-model_states.pt. 0: [2022-11-25 18:49:26,449] [INFO] 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6: [2022-11-25 18:49:26,696] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step15000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 4: [2022-11-25 18:49:26,699] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-25 18:49:26,696] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 6: [2022-11-25 18:49:26,696] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 4: [2022-11-25 18:49:26,700] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step15000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:49:26,708] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step15000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:49:26,696] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 718.102 | TFLOPs: 25.14 | 7: iteration 15020/ 21553 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 0.31 | learning rate: 5.852E-05 | global batch size: 256 | lm loss: 2.537073E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.246 | TFLOPs: 29.06 | 7: iteration 15030/ 21553 | consumed samples: 3847680 | consumed tokens: 7880048640 | elapsed time per iteration (s): 0.30 | learning rate: 5.841E-05 | global batch size: 256 | lm loss: 2.567724E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.194 | TFLOPs: 29.52 | 7: iteration 15040/ 21553 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 0.31 | learning rate: 5.830E-05 | global batch size: 256 | lm loss: 2.594714E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.906 | TFLOPs: 29.37 | 7: iteration 15050/ 21553 | consumed samples: 3852800 | consumed tokens: 7890534400 | elapsed time per iteration (s): 0.31 | learning rate: 5.820E-05 | global batch size: 256 | lm loss: 2.532467E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.051 | TFLOPs: 29.37 | 7: iteration 15060/ 21553 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 0.30 | learning rate: 5.809E-05 | global batch size: 256 | lm loss: 2.531818E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.579 | TFLOPs: 29.85 | 7: iteration 15070/ 21553 | consumed samples: 3857920 | consumed tokens: 7901020160 | elapsed time per iteration (s): 0.30 | learning rate: 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second: 833.238 | TFLOPs: 29.17 | 7: iteration 15190/ 21553 | consumed samples: 3888640 | consumed tokens: 7963934720 | elapsed time per iteration (s): 0.31 | learning rate: 5.669E-05 | global batch size: 256 | lm loss: 2.542570E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.673 | TFLOPs: 29.01 | 7: iteration 15200/ 21553 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 0.32 | learning rate: 5.658E-05 | global batch size: 256 | lm loss: 2.566919E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.811 | TFLOPs: 28.17 | 7: iteration 15210/ 21553 | consumed samples: 3893760 | consumed tokens: 7974420480 | elapsed time per iteration (s): 0.30 | learning rate: 5.648E-05 | global batch size: 256 | lm loss: 2.542007E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.439 | TFLOPs: 29.42 | 7: iteration 15220/ 21553 | consumed samples: 3896320 | consumed tokens: 7979663360 | elapsed time per iteration (s): 0.31 | learning rate: 5.637E-05 | global batch size: 256 | lm loss: 2.569505E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.271 | TFLOPs: 28.96 | 7: iteration 15230/ 21553 | consumed samples: 3898880 | consumed tokens: 7984906240 | elapsed time per iteration (s): 0.30 | learning rate: 5.626E-05 | global batch size: 256 | lm loss: 2.549027E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.263 | TFLOPs: 29.52 | 7: iteration 15240/ 21553 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 0.31 | learning rate: 5.616E-05 | global batch size: 256 | lm loss: 2.556066E+00 | grad norm: 0.283 | num zeros: 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2.540852E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.380 | TFLOPs: 29.42 | 7: iteration 15280/ 21553 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 0.30 | learning rate: 5.573E-05 | global batch size: 256 | lm loss: 2.559118E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.115 | TFLOPs: 29.94 | 7: iteration 15290/ 21553 | consumed samples: 3914240 | consumed tokens: 8016363520 | elapsed time per iteration (s): 0.31 | learning rate: 5.563E-05 | global batch size: 256 | lm loss: 2.534603E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.340 | TFLOPs: 29.14 | 7: iteration 15300/ 21553 | consumed samples: 3916800 | consumed tokens: 8021606400 | elapsed time per iteration (s): 0.31 | learning rate: 5.552E-05 | global batch size: 256 | lm loss: 2.535968E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.113 | TFLOPs: 28.74 | 7: iteration 15310/ 21553 | consumed samples: 3919360 | consumed tokens: 8026849280 | elapsed time per iteration (s): 0.30 | learning rate: 5.542E-05 | global batch size: 256 | lm loss: 2.557943E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.610 | TFLOPs: 29.39 | 7: iteration 15320/ 21553 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 0.30 | learning rate: 5.531E-05 | global batch size: 256 | lm loss: 2.546138E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.781 | TFLOPs: 29.54 | 7: iteration 15330/ 21553 | consumed samples: 3924480 | consumed tokens: 8037335040 | elapsed time 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second: 837.831 | TFLOPs: 29.33 | 7: iteration 15420/ 21553 | consumed samples: 3947520 | consumed tokens: 8084520960 | elapsed time per iteration (s): 0.30 | learning rate: 5.427E-05 | global batch size: 256 | lm loss: 2.567967E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.507 | TFLOPs: 29.60 | 7: iteration 15430/ 21553 | consumed samples: 3950080 | consumed tokens: 8089763840 | elapsed time per iteration (s): 0.30 | learning rate: 5.416E-05 | global batch size: 256 | lm loss: 2.543121E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.674 | TFLOPs: 29.39 | 7: iteration 15440/ 21553 | consumed samples: 3952640 | consumed tokens: 8095006720 | elapsed time per iteration (s): 0.30 | learning rate: 5.406E-05 | global batch size: 256 | lm loss: 2.541130E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.946 | TFLOPs: 29.54 | 7: iteration 15450/ 21553 | consumed samples: 3955200 | consumed tokens: 8100249600 | elapsed time per iteration (s): 0.30 | learning rate: 5.395E-05 | global batch size: 256 | lm loss: 2.555148E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.735 | TFLOPs: 29.92 | 7: iteration 15460/ 21553 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 0.30 | learning rate: 5.385E-05 | global batch size: 256 | lm loss: 2.554650E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.370 | TFLOPs: 29.59 | 7: iteration 15470/ 21553 | consumed samples: 3960320 | consumed tokens: 8110735360 | elapsed time per iteration (s): 0.31 | learning rate: 5.375E-05 | global batch size: 256 | lm loss: 2.552813E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.672 | TFLOPs: 29.25 | 7: iteration 15480/ 21553 | consumed samples: 3962880 | consumed tokens: 8115978240 | elapsed time per iteration (s): 0.30 | learning rate: 5.364E-05 | global batch size: 256 | lm loss: 2.556519E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.709 | TFLOPs: 29.50 | 7: iteration 15490/ 21553 | consumed samples: 3965440 | consumed tokens: 8121221120 | elapsed time per iteration (s): 0.31 | learning rate: 5.354E-05 | global batch size: 256 | lm loss: 2.546391E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.707 | TFLOPs: 29.22 | 7: iteration 15500/ 21553 | consumed samples: 3968000 | consumed tokens: 8126464000 | elapsed time per iteration (s): 0.30 | learning rate: 5.344E-05 | global batch size: 256 | lm loss: 2.550803E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.129 | TFLOPs: 29.66 | 7: iteration 15510/ 21553 | consumed samples: 3970560 | consumed tokens: 8131706880 | elapsed time per iteration (s): 0.31 | learning rate: 5.333E-05 | global batch size: 256 | lm loss: 2.559855E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.179 | TFLOPs: 29.24 | 7: iteration 15520/ 21553 | consumed samples: 3973120 | consumed tokens: 8136949760 | elapsed time per iteration (s): 0.30 | learning rate: 5.323E-05 | global batch size: 256 | lm loss: 2.550403E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.523 | TFLOPs: 29.42 | 7: iteration 15530/ 21553 | consumed samples: 3975680 | consumed tokens: 8142192640 | elapsed time per iteration (s): 0.30 | learning rate: 5.313E-05 | global batch size: 256 | lm loss: 2.572190E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.264 | TFLOPs: 29.73 | 7: iteration 15540/ 21553 | consumed samples: 3978240 | consumed tokens: 8147435520 | elapsed time per iteration (s): 0.31 | learning rate: 5.303E-05 | global batch size: 256 | lm loss: 2.564397E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.032 | TFLOPs: 29.30 | 7: iteration 15550/ 21553 | consumed samples: 3980800 | consumed tokens: 8152678400 | elapsed time per iteration (s): 0.30 | learning rate: 5.292E-05 | global batch size: 256 | lm loss: 2.521836E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.708 | TFLOPs: 29.50 | 7: iteration 15560/ 21553 | consumed samples: 3983360 | consumed tokens: 8157921280 | elapsed time 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consumed tokens: 8173649920 | elapsed time per iteration (s): 0.30 | learning rate: 5.251E-05 | global batch size: 256 | lm loss: 2.569860E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.830 | TFLOPs: 29.82 | 7: iteration 15600/ 21553 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 0.30 | learning rate: 5.241E-05 | global batch size: 256 | lm loss: 2.549220E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.717 | TFLOPs: 29.57 | 7: iteration 15610/ 21553 | consumed samples: 3996160 | consumed tokens: 8184135680 | elapsed time per iteration (s): 0.30 | learning rate: 5.231E-05 | global batch size: 256 | lm loss: 2.565299E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.640 | TFLOPs: 29.67 | 7: iteration 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second: 838.500 | TFLOPs: 29.35 | 7: iteration 15650/ 21553 | consumed samples: 4006400 | consumed tokens: 8205107200 | elapsed time per iteration (s): 0.30 | learning rate: 5.191E-05 | global batch size: 256 | lm loss: 2.586148E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.163 | TFLOPs: 29.45 | 7: iteration 15660/ 21553 | consumed samples: 4008960 | consumed tokens: 8210350080 | elapsed time per iteration (s): 0.30 | learning rate: 5.180E-05 | global batch size: 256 | lm loss: 2.517662E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.739 | TFLOPs: 29.50 | 7: iteration 15670/ 21553 | consumed samples: 4011520 | consumed tokens: 8215592960 | elapsed time per iteration (s): 0.30 | learning rate: 5.170E-05 | global batch size: 256 | lm loss: 2.546167E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 771.558 | TFLOPs: 27.01 | 7: iteration 15940/ 21553 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 0.30 | learning rate: 4.902E-05 | global batch size: 256 | lm loss: 2.543424E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.524 | TFLOPs: 29.84 | 7: iteration 15950/ 21553 | consumed samples: 4083200 | consumed tokens: 8362393600 | elapsed time per iteration (s): 0.30 | learning rate: 4.893E-05 | global batch size: 256 | lm loss: 2.557369E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.024 | TFLOPs: 29.41 | 7: iteration 15960/ 21553 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 0.31 | learning rate: 4.883E-05 | global batch size: 256 | lm loss: 2.530827E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.631 | TFLOPs: 29.32 | 7: iteration 15970/ 21553 | consumed samples: 4088320 | consumed tokens: 8372879360 | elapsed time per iteration (s): 0.30 | learning rate: 4.873E-05 | global batch size: 256 | lm loss: 2.551175E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.316 | TFLOPs: 29.87 | 7: iteration 15980/ 21553 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 0.30 | learning rate: 4.864E-05 | global batch size: 256 | lm loss: 2.572000E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.437 | TFLOPs: 29.70 | 7: iteration 15990/ 21553 | consumed samples: 4093440 | consumed tokens: 8383365120 | elapsed time per iteration (s): 0.31 | learning rate: 4.854E-05 | global batch size: 256 | lm loss: 2.560444E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.085 | TFLOPs: 29.20 | 0: [2022-11-25 18:54:32,129] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[4.8441849544340955e-05, 4.8441849544340955e-05, 4.8441849544340955e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 16000/ 21553 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 0.32 | learning rate: 4.844E-05 | global batch size: 256 | lm loss: 2.548167E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.070 | TFLOPs: 28.39 | 0: steps: 16000 loss: 2.6565 iter time (s): 0.304 samples/sec: 841.333 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 16000 | lm loss value: 2.406712E+00 | lm loss PPL: 1.109741E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 16000 to checkpoints_146m 0: [2022-11-25 18:54:32,253] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step16000 is begin to save! 0: [2022-11-25 18:54:32,257] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step16000/layer_01-model_00-model_states.pt... 0: [2022-11-25 18:54:32,352] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/layer_01-model_00-model_states.pt. 0: [2022-11-25 18:54:32,353] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step16000/layer_03-model_00-model_states.pt... 0: [2022-11-25 18:54:32,368] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/layer_03-model_00-model_states.pt. 0: [2022-11-25 18:54:32,369] [INFO] 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7: [2022-11-25 18:54:32,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-25 18:54:32,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 3: [2022-11-25 18:54:32,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:54:32,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 18:54:32,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 1: [2022-11-25 18:54:32,645] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:54:32,645] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-25 18:54:32,645] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 2: [2022-11-25 18:54:32,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:54:32,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-25 18:54:32,644] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:54:32,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 2: [2022-11-25 18:54:32,644] [INFO] [engine.py:3213:_save_zero_checkpoint] 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checkpoints_146m/global_step16000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-25 18:54:32,646] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 0: [2022-11-25 18:54:32,645] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-25 18:54:32,646] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-25 18:54:32,646] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 3: [2022-11-25 18:54:32,646] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:54:32,646] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-25 18:54:32,646] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 3: [2022-11-25 18:54:32,646] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:54:32,646] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-25 18:54:32,646] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-25 18:54:32,646] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-25 18:54:32,646] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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checkpoints_146m/global_step16000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-25 18:54:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 1: [2022-11-25 18:54:32,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 18:54:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 18:54:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 6: [2022-11-25 18:54:32,657] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-25 18:54:32,657] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-25 18:54:32,657] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-25 18:54:32,657] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:54:32,658] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-25 18:54:32,658] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-25 18:54:32,658] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 5: [2022-11-25 18:54:32,658] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-25 18:54:32,658] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 5: [2022-11-25 18:54:32,658] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-25 18:54:32,660] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 18:54:32,660] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 18:54:32,660] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 0: [2022-11-25 18:54:32,673] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step16000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 18:54:32,673] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 0: successfully saved checkpoint at iteration 16000 to checkpoints_146m 7: time (ms) | save-checkpoint: 424.30 7: iteration 16010/ 21553 | consumed samples: 4098560 | consumed tokens: 8393850880 | elapsed time per iteration (s): 0.35 | learning rate: 4.835E-05 | global batch size: 256 | lm loss: 2.537794E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 727.922 | TFLOPs: 25.48 | 7: iteration 16020/ 21553 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 0.30 | learning rate: 4.825E-05 | global batch size: 256 | lm loss: 2.542720E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.667 | TFLOPs: 29.78 | 7: iteration 16030/ 21553 | consumed samples: 4103680 | consumed tokens: 8404336640 | elapsed time per iteration (s): 0.31 | learning rate: 4.815E-05 | global batch size: 256 | lm loss: 2.531994E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.041 | TFLOPs: 29.09 | 7: iteration 16040/ 21553 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 0.31 | learning rate: 4.806E-05 | global batch size: 256 | lm loss: 2.574077E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.026 | TFLOPs: 29.30 | 7: iteration 16050/ 21553 | consumed samples: 4108800 | consumed tokens: 8414822400 | elapsed time per iteration (s): 0.31 | learning rate: 4.796E-05 | global batch size: 256 | lm loss: 2.507935E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.806 | TFLOPs: 29.22 | 7: iteration 16060/ 21553 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 0.31 | learning rate: 4.786E-05 | global batch size: 256 | lm loss: 2.578510E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.184 | TFLOPs: 29.17 | 7: iteration 16070/ 21553 | consumed samples: 4113920 | consumed tokens: 8425308160 | elapsed time per iteration (s): 0.30 | learning rate: 4.777E-05 | global batch size: 256 | lm loss: 2.542983E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.448 | TFLOPs: 29.95 | 7: iteration 16080/ 21553 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 0.31 | learning rate: 4.767E-05 | global batch size: 256 | lm loss: 2.537057E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.523 | TFLOPs: 28.83 | 7: iteration 16090/ 21553 | consumed samples: 4119040 | consumed tokens: 8435793920 | elapsed time per iteration (s): 0.31 | learning rate: 4.758E-05 | global batch size: 256 | lm loss: 2.543508E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.822 | TFLOPs: 28.98 | 7: iteration 16100/ 21553 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 0.30 | learning rate: 4.748E-05 | global batch size: 256 | lm loss: 2.521639E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.014 | TFLOPs: 29.48 | 7: iteration 16110/ 21553 | consumed samples: 4124160 | consumed tokens: 8446279680 | elapsed time per iteration (s): 0.31 | learning rate: 4.739E-05 | global batch size: 256 | lm loss: 2.554307E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.329 | TFLOPs: 29.07 | 7: iteration 16120/ 21553 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 0.30 | learning rate: 4.729E-05 | global batch size: 256 | lm loss: 2.565523E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.585 | TFLOPs: 29.50 | 7: iteration 16130/ 21553 | consumed samples: 4129280 | consumed tokens: 8456765440 | elapsed time per iteration (s): 0.31 | learning rate: 4.720E-05 | global batch size: 256 | lm loss: 2.532919E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.732 | TFLOPs: 29.26 | 7: iteration 16140/ 21553 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 0.31 | learning rate: 4.710E-05 | global batch size: 256 | lm loss: 2.515429E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.136 | TFLOPs: 29.17 | 7: iteration 16150/ 21553 | consumed samples: 4134400 | consumed tokens: 8467251200 | elapsed time per iteration (s): 0.31 | learning rate: 4.701E-05 | global batch size: 256 | lm loss: 2.547385E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.496 | TFLOPs: 29.18 | 7: iteration 16160/ 21553 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 0.30 | learning rate: 4.691E-05 | global batch size: 256 | lm loss: 2.541065E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.049 | TFLOPs: 29.93 | 7: iteration 16170/ 21553 | consumed samples: 4139520 | consumed tokens: 8477736960 | elapsed time per iteration (s): 0.30 | learning rate: 4.682E-05 | global batch size: 256 | lm loss: 2.529238E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.139 | TFLOPs: 29.94 | 7: iteration 16180/ 21553 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 0.30 | learning rate: 4.672E-05 | global batch size: 256 | lm loss: 2.560107E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.015 | TFLOPs: 29.62 | 7: iteration 16190/ 21553 | consumed samples: 4144640 | consumed tokens: 8488222720 | elapsed time per iteration (s): 0.30 | learning rate: 4.663E-05 | global batch size: 256 | lm loss: 2.519464E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.715 | TFLOPs: 29.64 | 7: iteration 16200/ 21553 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 0.31 | learning rate: 4.654E-05 | global batch size: 256 | lm loss: 2.537206E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.946 | TFLOPs: 29.16 | 7: iteration 16210/ 21553 | consumed samples: 4149760 | consumed tokens: 8498708480 | elapsed time per iteration (s): 0.30 | learning rate: 4.644E-05 | global batch size: 256 | lm loss: 2.534857E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.981 | TFLOPs: 29.55 | 7: iteration 16220/ 21553 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 0.31 | learning rate: 4.635E-05 | global batch size: 256 | lm loss: 2.522532E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.386 | TFLOPs: 28.61 | 7: iteration 16230/ 21553 | consumed samples: 4154880 | consumed tokens: 8509194240 | elapsed time per iteration (s): 0.32 | learning rate: 4.625E-05 | global batch size: 256 | lm loss: 2.534012E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.089 | TFLOPs: 28.36 | 7: iteration 16240/ 21553 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 0.31 | learning rate: 4.616E-05 | global batch size: 256 | lm loss: 2.524661E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.670 | TFLOPs: 29.29 | 7: iteration 16250/ 21553 | consumed samples: 4160000 | consumed tokens: 8519680000 | elapsed time per iteration (s): 0.30 | learning rate: 4.607E-05 | global batch size: 256 | lm loss: 2.554034E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.946 | TFLOPs: 29.93 | 7: iteration 16260/ 21553 | consumed samples: 4162560 | consumed tokens: 8524922880 | elapsed time per iteration (s): 0.30 | learning rate: 4.597E-05 | global batch size: 256 | lm loss: 2.529911E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.633 | TFLOPs: 29.85 | 7: iteration 16270/ 21553 | consumed samples: 4165120 | consumed tokens: 8530165760 | elapsed time per iteration (s): 0.30 | learning rate: 4.588E-05 | global batch size: 256 | lm loss: 2.518065E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.892 | 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iterations: 0 | samples per second: 847.780 | TFLOPs: 29.68 | 7: iteration 16310/ 21553 | consumed samples: 4175360 | consumed tokens: 8551137280 | elapsed time per iteration (s): 0.30 | learning rate: 4.551E-05 | global batch size: 256 | lm loss: 2.555529E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.037 | TFLOPs: 29.65 | 7: iteration 16320/ 21553 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 0.30 | learning rate: 4.542E-05 | global batch size: 256 | lm loss: 2.559146E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.680 | TFLOPs: 29.57 | 7: iteration 16330/ 21553 | consumed samples: 4180480 | consumed tokens: 8561623040 | elapsed time per iteration (s): 0.30 | learning rate: 4.533E-05 | global batch size: 256 | lm loss: 2.526960E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.336 | TFLOPs: 29.49 | 7: iteration 16340/ 21553 | consumed samples: 4183040 | consumed tokens: 8566865920 | elapsed time per iteration (s): 0.32 | learning rate: 4.523E-05 | global batch size: 256 | lm loss: 2.549574E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.463 | TFLOPs: 28.09 | 7: iteration 16350/ 21553 | consumed samples: 4185600 | consumed tokens: 8572108800 | elapsed time per iteration (s): 0.31 | learning rate: 4.514E-05 | global batch size: 256 | lm loss: 2.532674E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.600 | TFLOPs: 29.32 | 7: iteration 16360/ 21553 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 0.31 | learning rate: 4.505E-05 | global batch size: 256 | lm loss: 2.552740E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.659 | TFLOPs: 29.22 | 7: iteration 16370/ 21553 | consumed samples: 4190720 | consumed tokens: 8582594560 | elapsed time per iteration (s): 0.31 | learning rate: 4.496E-05 | global batch size: 256 | lm loss: 2.559379E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.552 | TFLOPs: 28.80 | 7: iteration 16380/ 21553 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 0.30 | learning rate: 4.487E-05 | global batch size: 256 | lm loss: 2.561757E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.370 | TFLOPs: 29.80 | 7: iteration 16390/ 21553 | consumed samples: 4195840 | consumed tokens: 8593080320 | elapsed time per iteration (s): 0.34 | learning rate: 4.478E-05 | global batch size: 256 | lm loss: 2.545624E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 757.646 | TFLOPs: 26.52 | 7: iteration 16400/ 21553 | consumed samples: 4198400 | consumed tokens: 8598323200 | elapsed time per iteration (s): 0.32 | learning rate: 4.468E-05 | global batch size: 256 | lm loss: 2.553670E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.916 | TFLOPs: 27.65 | 7: iteration 16410/ 21553 | consumed samples: 4200960 | consumed tokens: 8603566080 | elapsed time per iteration (s): 0.31 | learning rate: 4.459E-05 | global batch size: 256 | lm loss: 2.532979E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.738 | TFLOPs: 29.36 | 7: iteration 16420/ 21553 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 0.32 | learning rate: 4.450E-05 | global batch size: 256 | lm loss: 2.531130E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.242 | TFLOPs: 27.63 | 7: iteration 16430/ 21553 | consumed samples: 4206080 | consumed tokens: 8614051840 | elapsed time per iteration (s): 0.31 | learning rate: 4.441E-05 | global batch size: 256 | lm loss: 2.544959E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.004 | TFLOPs: 29.16 | 7: iteration 16440/ 21553 | consumed samples: 4208640 | consumed tokens: 8619294720 | elapsed time per iteration (s): 0.30 | learning rate: 4.432E-05 | global batch size: 256 | lm loss: 2.537345E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.257 | TFLOPs: 29.59 | 7: iteration 16450/ 21553 | consumed samples: 4211200 | consumed tokens: 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0.31 | learning rate: 4.047E-05 | global batch size: 256 | lm loss: 2.512022E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.572 | TFLOPs: 29.04 | 7: iteration 16890/ 21553 | consumed samples: 4323840 | consumed tokens: 8855224320 | elapsed time per iteration (s): 0.32 | learning rate: 4.039E-05 | global batch size: 256 | lm loss: 2.547599E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.067 | TFLOPs: 27.62 | 7: iteration 16900/ 21553 | consumed samples: 4326400 | consumed tokens: 8860467200 | elapsed time per iteration (s): 0.30 | learning rate: 4.031E-05 | global batch size: 256 | lm loss: 2.519660E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.227 | TFLOPs: 29.45 | 7: iteration 16910/ 21553 | consumed samples: 4328960 | consumed tokens: 8865710080 | elapsed time per iteration (s): 0.32 | learning rate: 4.022E-05 | global batch size: 256 | lm loss: 2.512088E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 794.822 | TFLOPs: 27.82 | 7: iteration 16920/ 21553 | consumed samples: 4331520 | consumed tokens: 8870952960 | elapsed time per iteration (s): 0.30 | learning rate: 4.014E-05 | global batch size: 256 | lm loss: 2.512210E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.315 | TFLOPs: 29.77 | 7: iteration 16930/ 21553 | consumed samples: 4334080 | consumed tokens: 8876195840 | elapsed time per iteration (s): 0.30 | learning rate: 4.006E-05 | global batch size: 256 | lm loss: 2.516054E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.329 | TFLOPs: 29.66 | 7: iteration 16940/ 21553 | consumed samples: 4336640 | consumed tokens: 8881438720 | elapsed time per iteration (s): 0.30 | learning rate: 3.997E-05 | global batch size: 256 | lm loss: 2.533226E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.604 | TFLOPs: 29.78 | 7: iteration 16950/ 21553 | consumed samples: 4339200 | consumed tokens: 8886681600 | elapsed time per iteration (s): 0.31 | learning rate: 3.989E-05 | global batch size: 256 | lm loss: 2.509463E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.724 | TFLOPs: 29.05 | 7: iteration 16960/ 21553 | consumed samples: 4341760 | consumed tokens: 8891924480 | elapsed time per iteration (s): 0.30 | learning rate: 3.981E-05 | global batch size: 256 | lm loss: 2.529752E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.074 | 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iterations: 0 | samples per second: 835.270 | TFLOPs: 29.24 | 7: iteration 17000/ 21553 | consumed samples: 4352000 | consumed tokens: 8912896000 | elapsed time per iteration (s): 0.30 | learning rate: 3.948E-05 | global batch size: 256 | lm loss: 2.548369E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.955 | TFLOPs: 29.68 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 17000 | lm loss value: 2.511586E+00 | lm loss PPL: 1.232446E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 17000 to checkpoints_146m 0: [2022-11-25 18:59:39,246] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step17000 is begin to save! 0: [2022-11-25 18:59:39,251] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[2022-11-25 18:59:39,643] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step17000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-25 18:59:39,643] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step17000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 2: [2022-11-25 18:59:39,644] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step17000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 6: [2022-11-25 18:59:39,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 2: [2022-11-25 18:59:39,644] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 2: [2022-11-25 18:59:39,646] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step17000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-25 18:59:39,646] [INFO] 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loss: 2.549754E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.279 | TFLOPs: 29.59 | 7: iteration 17050/ 21553 | consumed samples: 4364800 | consumed tokens: 8939110400 | elapsed time per iteration (s): 0.31 | learning rate: 3.907E-05 | global batch size: 256 | lm loss: 2.555241E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.396 | TFLOPs: 28.93 | 7: iteration 17060/ 21553 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 0.30 | learning rate: 3.898E-05 | global batch size: 256 | lm loss: 2.481861E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.025 | TFLOPs: 29.58 | 7: iteration 17070/ 21553 | consumed samples: 4369920 | consumed tokens: 8949596160 | elapsed time per iteration (s): 0.30 | learning rate: 3.890E-05 | global batch size: 256 | lm loss: 2.537966E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.133 | TFLOPs: 29.52 | 7: iteration 17080/ 21553 | consumed samples: 4372480 | consumed tokens: 8954839040 | elapsed time per iteration (s): 0.31 | learning rate: 3.882E-05 | global batch size: 256 | lm loss: 2.540231E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.846 | TFLOPs: 29.33 | 7: iteration 17090/ 21553 | consumed samples: 4375040 | consumed tokens: 8960081920 | elapsed time per iteration (s): 0.30 | learning rate: 3.874E-05 | global batch size: 256 | lm loss: 2.537112E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.565 | TFLOPs: 29.88 | 7: iteration 17100/ 21553 | consumed samples: 4377600 | consumed tokens: 8965324800 | elapsed time per iteration (s): 0.31 | learning rate: 3.866E-05 | global batch size: 256 | lm loss: 2.530683E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.206 | TFLOPs: 29.24 | 7: iteration 17110/ 21553 | consumed samples: 4380160 | consumed tokens: 8970567680 | elapsed time per iteration (s): 0.30 | learning rate: 3.858E-05 | global batch size: 256 | lm loss: 2.520655E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.329 | TFLOPs: 29.70 | 7: iteration 17120/ 21553 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 0.30 | learning rate: 3.850E-05 | global batch size: 256 | lm loss: 2.569344E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.472 | TFLOPs: 29.42 | 7: iteration 17130/ 21553 | consumed samples: 4385280 | consumed tokens: 8981053440 | elapsed time per iteration (s): 0.31 | learning rate: 3.842E-05 | global batch size: 256 | lm loss: 2.511192E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.410 | TFLOPs: 29.28 | 7: iteration 17140/ 21553 | consumed samples: 4387840 | consumed tokens: 8986296320 | elapsed time per iteration (s): 0.30 | learning rate: 3.834E-05 | global batch size: 256 | lm loss: 2.528902E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.375 | TFLOPs: 29.87 | 7: iteration 17150/ 21553 | consumed samples: 4390400 | consumed tokens: 8991539200 | elapsed time per iteration (s): 0.30 | learning rate: 3.826E-05 | global batch size: 256 | lm loss: 2.533636E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.567 | TFLOPs: 29.53 | 7: iteration 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second: 836.060 | TFLOPs: 29.27 | 7: iteration 17190/ 21553 | consumed samples: 4400640 | consumed tokens: 9012510720 | elapsed time per iteration (s): 0.30 | learning rate: 3.794E-05 | global batch size: 256 | lm loss: 2.552011E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.715 | TFLOPs: 29.68 | 7: iteration 17200/ 21553 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 0.31 | learning rate: 3.786E-05 | global batch size: 256 | lm loss: 2.488738E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.405 | TFLOPs: 29.28 | 7: iteration 17210/ 21553 | consumed samples: 4405760 | consumed tokens: 9022996480 | elapsed time per iteration (s): 0.30 | learning rate: 3.778E-05 | global batch size: 256 | lm loss: 2.511787E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | 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second: 843.500 | TFLOPs: 29.53 | 7: iteration 17420/ 21553 | consumed samples: 4459520 | consumed tokens: 9133096960 | elapsed time per iteration (s): 0.31 | learning rate: 3.616E-05 | global batch size: 256 | lm loss: 2.528038E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.744 | TFLOPs: 29.36 | 7: iteration 17430/ 21553 | consumed samples: 4462080 | consumed tokens: 9138339840 | elapsed time per iteration (s): 0.31 | learning rate: 3.608E-05 | global batch size: 256 | lm loss: 2.548055E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.326 | TFLOPs: 29.03 | 7: iteration 17440/ 21553 | consumed samples: 4464640 | consumed tokens: 9143582720 | elapsed time per iteration (s): 0.30 | learning rate: 3.600E-05 | global batch size: 256 | lm loss: 2.512047E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | 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second: 815.256 | TFLOPs: 28.54 | 7: iteration 17650/ 21553 | consumed samples: 4518400 | consumed tokens: 9253683200 | elapsed time per iteration (s): 0.31 | learning rate: 3.446E-05 | global batch size: 256 | lm loss: 2.541724E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.071 | TFLOPs: 28.46 | 7: iteration 17660/ 21553 | consumed samples: 4520960 | consumed tokens: 9258926080 | elapsed time per iteration (s): 0.30 | learning rate: 3.438E-05 | global batch size: 256 | lm loss: 2.544846E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.737 | TFLOPs: 29.61 | 7: iteration 17670/ 21553 | consumed samples: 4523520 | consumed tokens: 9264168960 | elapsed time per iteration (s): 0.31 | learning rate: 3.431E-05 | global batch size: 256 | lm loss: 2.491376E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.530 | TFLOPs: 29.25 | 7: iteration 17680/ 21553 | consumed samples: 4526080 | consumed tokens: 9269411840 | elapsed time per iteration (s): 0.31 | learning rate: 3.424E-05 | global batch size: 256 | lm loss: 2.527333E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.078 | TFLOPs: 29.34 | 7: iteration 17690/ 21553 | consumed samples: 4528640 | consumed tokens: 9274654720 | elapsed time per iteration (s): 0.31 | learning rate: 3.417E-05 | global batch size: 256 | lm loss: 2.562955E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.064 | TFLOPs: 29.16 | 7: iteration 17700/ 21553 | consumed samples: 4531200 | consumed tokens: 9279897600 | elapsed time per iteration (s): 0.30 | learning rate: 3.410E-05 | global batch size: 256 | lm loss: 2.535500E+00 | grad norm: 0.303 | num zeros: 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2.488527E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.308 | TFLOPs: 29.24 | 7: iteration 17740/ 21553 | consumed samples: 4541440 | consumed tokens: 9300869120 | elapsed time per iteration (s): 0.30 | learning rate: 3.381E-05 | global batch size: 256 | lm loss: 2.530852E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.491 | TFLOPs: 29.56 | 7: iteration 17750/ 21553 | consumed samples: 4544000 | consumed tokens: 9306112000 | elapsed time per iteration (s): 0.30 | learning rate: 3.374E-05 | global batch size: 256 | lm loss: 2.555175E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.512 | TFLOPs: 29.98 | 7: iteration 17760/ 21553 | consumed samples: 4546560 | consumed tokens: 9311354880 | elapsed time per iteration (s): 0.30 | learning rate: 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consumed tokens: 9342812160 | elapsed time per iteration (s): 0.31 | learning rate: 3.326E-05 | global batch size: 256 | lm loss: 2.528741E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.796 | TFLOPs: 29.15 | 7: iteration 17830/ 21553 | consumed samples: 4564480 | consumed tokens: 9348055040 | elapsed time per iteration (s): 0.30 | learning rate: 3.319E-05 | global batch size: 256 | lm loss: 2.545308E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.361 | TFLOPs: 29.49 | 7: iteration 17840/ 21553 | consumed samples: 4567040 | consumed tokens: 9353297920 | elapsed time per iteration (s): 0.31 | learning rate: 3.312E-05 | global batch size: 256 | lm loss: 2.523811E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.328 | TFLOPs: 28.47 | 7: iteration 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2.515243E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.822 | TFLOPs: 29.85 | 7: iteration 17970/ 21553 | consumed samples: 4600320 | consumed tokens: 9421455360 | elapsed time per iteration (s): 0.30 | learning rate: 3.224E-05 | global batch size: 256 | lm loss: 2.521425E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.783 | TFLOPs: 29.43 | 7: iteration 17980/ 21553 | consumed samples: 4602880 | consumed tokens: 9426698240 | elapsed time per iteration (s): 0.30 | learning rate: 3.217E-05 | global batch size: 256 | lm loss: 2.546159E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.233 | TFLOPs: 29.45 | 7: iteration 17990/ 21553 | consumed samples: 4605440 | consumed tokens: 9431941120 | elapsed time per iteration (s): 0.30 | learning rate: 3.210E-05 | global batch size: 256 | lm loss: 2.529756E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.096 | TFLOPs: 29.58 | 0: [2022-11-25 19:04:45,430] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[3.2036439682204886e-05, 3.2036439682204886e-05, 3.2036439682204886e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 18000/ 21553 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 0.31 | learning rate: 3.204E-05 | global batch size: 256 | lm loss: 2.535496E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.076 | TFLOPs: 28.74 | 0: steps: 18000 loss: 2.5000 iter time (s): 0.305 samples/sec: 840.471 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 18000 | lm loss value: 2.356913E+00 | lm loss PPL: 1.055831E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 18000 to checkpoints_146m 0: [2022-11-25 19:04:45,559] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step18000 is begin to save! 0: [2022-11-25 19:04:45,562] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step18000/layer_01-model_00-model_states.pt... 0: [2022-11-25 19:04:45,701] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step18000/layer_01-model_00-model_states.pt. 0: [2022-11-25 19:04:45,702] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step18000/layer_03-model_00-model_states.pt... 0: [2022-11-25 19:04:45,724] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step18000/layer_03-model_00-model_states.pt. 0: [2022-11-25 19:04:45,724] [INFO] 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 19:04:46,061] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 19:04:46,061] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 1: [2022-11-25 19:04:46,063] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-25 19:04:46,063] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-25 19:04:46,063] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-25 19:04:46,063] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-25 19:04:46,063] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 1: [2022-11-25 19:04:46,063] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 3: [2022-11-25 19:04:46,066] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-25 19:04:46,066] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-25 19:04:46,066] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 0: [2022-11-25 19:04:46,074] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step18000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 19:04:46,074] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 0: successfully saved checkpoint at iteration 18000 to checkpoints_146m 7: time (ms) | save-checkpoint: 520.29 7: iteration 18010/ 21553 | consumed samples: 4610560 | consumed tokens: 9442426880 | elapsed time per iteration (s): 0.37 | learning rate: 3.197E-05 | global batch size: 256 | lm loss: 2.549757E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 699.203 | TFLOPs: 24.48 | 7: iteration 18020/ 21553 | consumed samples: 4613120 | consumed tokens: 9447669760 | elapsed time per iteration (s): 0.30 | learning rate: 3.190E-05 | global batch size: 256 | lm loss: 2.538001E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.791 | TFLOPs: 29.50 | 7: iteration 18030/ 21553 | consumed samples: 4615680 | consumed tokens: 9452912640 | elapsed time per iteration (s): 0.31 | learning rate: 3.184E-05 | global batch size: 256 | lm loss: 2.508065E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.414 | TFLOPs: 29.07 | 7: iteration 18040/ 21553 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 0.31 | learning rate: 3.177E-05 | global batch size: 256 | lm loss: 2.531267E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.970 | TFLOPs: 29.26 | 7: iteration 18050/ 21553 | consumed samples: 4620800 | consumed tokens: 9463398400 | elapsed time per iteration (s): 0.31 | learning rate: 3.171E-05 | global batch size: 256 | lm loss: 2.531486E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.025 | TFLOPs: 29.23 | 7: iteration 18060/ 21553 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 0.30 | learning rate: 3.164E-05 | global batch size: 256 | lm loss: 2.504081E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.886 | TFLOPs: 29.68 | 7: iteration 18070/ 21553 | consumed samples: 4625920 | consumed tokens: 9473884160 | elapsed time per iteration (s): 0.30 | learning rate: 3.158E-05 | global batch size: 256 | lm loss: 2.545333E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.222 | TFLOPs: 29.87 | 7: iteration 18080/ 21553 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 0.31 | learning rate: 3.151E-05 | global batch size: 256 | lm loss: 2.512323E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.640 | TFLOPs: 29.36 | 7: iteration 18090/ 21553 | consumed samples: 4631040 | consumed tokens: 9484369920 | elapsed time per iteration (s): 0.30 | learning rate: 3.145E-05 | global batch size: 256 | lm loss: 2.543336E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.304 | TFLOPs: 29.80 | 7: iteration 18100/ 21553 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 0.31 | learning rate: 3.138E-05 | global batch size: 256 | lm loss: 2.527475E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.617 | TFLOPs: 29.29 | 7: iteration 18110/ 21553 | consumed samples: 4636160 | consumed tokens: 9494855680 | elapsed time per iteration (s): 0.30 | learning rate: 3.132E-05 | global batch size: 256 | lm loss: 2.557806E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.475 | TFLOPs: 29.67 | 7: iteration 18120/ 21553 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 0.30 | learning rate: 3.125E-05 | global batch size: 256 | lm loss: 2.558797E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.596 | TFLOPs: 29.67 | 7: iteration 18130/ 21553 | consumed samples: 4641280 | consumed tokens: 9505341440 | elapsed time per iteration (s): 0.31 | learning rate: 3.119E-05 | global batch size: 256 | lm loss: 2.545628E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.903 | TFLOPs: 29.30 | 7: iteration 18140/ 21553 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 0.31 | learning rate: 3.113E-05 | global batch size: 256 | lm loss: 2.508401E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.365 | TFLOPs: 28.68 | 7: iteration 18150/ 21553 | consumed samples: 4646400 | consumed tokens: 9515827200 | elapsed time per iteration (s): 0.32 | learning rate: 3.106E-05 | global batch size: 256 | lm loss: 2.498116E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.278 | TFLOPs: 28.44 | 7: iteration 18160/ 21553 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 0.31 | learning rate: 3.100E-05 | global batch size: 256 | lm loss: 2.485026E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.415 | TFLOPs: 28.55 | 7: iteration 18170/ 21553 | consumed samples: 4651520 | consumed tokens: 9526312960 | elapsed time per iteration (s): 0.30 | learning rate: 3.094E-05 | global batch size: 256 | lm loss: 2.506595E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.240 | TFLOPs: 29.80 | 7: iteration 18180/ 21553 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 0.30 | learning rate: 3.087E-05 | global batch size: 256 | lm loss: 2.513474E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.329 | TFLOPs: 29.73 | 7: iteration 18190/ 21553 | consumed samples: 4656640 | consumed tokens: 9536798720 | elapsed time per iteration (s): 0.30 | learning rate: 3.081E-05 | global batch size: 256 | lm loss: 2.513542E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.715 | TFLOPs: 29.82 | 7: iteration 18200/ 21553 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 0.30 | learning rate: 3.075E-05 | global batch size: 256 | lm loss: 2.547582E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.230 | TFLOPs: 29.66 | 7: iteration 18210/ 21553 | consumed samples: 4661760 | consumed tokens: 9547284480 | elapsed time per iteration (s): 0.31 | learning rate: 3.068E-05 | global batch size: 256 | lm loss: 2.489820E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.967 | TFLOPs: 28.98 | 7: iteration 18220/ 21553 | consumed samples: 4664320 | consumed tokens: 9552527360 | elapsed time per iteration (s): 0.31 | learning rate: 3.062E-05 | global batch size: 256 | lm loss: 2.556626E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.584 | TFLOPs: 29.32 | 7: iteration 18230/ 21553 | consumed samples: 4666880 | consumed tokens: 9557770240 | elapsed time per iteration (s): 0.31 | learning rate: 3.056E-05 | global batch size: 256 | lm loss: 2.509959E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.348 | TFLOPs: 29.21 | 7: iteration 18240/ 21553 | consumed samples: 4669440 | consumed tokens: 9563013120 | elapsed time per iteration (s): 0.31 | learning rate: 3.050E-05 | global batch size: 256 | lm loss: 2.503845E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.168 | TFLOPs: 29.34 | 7: iteration 18250/ 21553 | consumed samples: 4672000 | consumed tokens: 9568256000 | elapsed time per iteration (s): 0.31 | learning rate: 3.043E-05 | global batch size: 256 | lm loss: 2.528546E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.268 | TFLOPs: 29.38 | 7: iteration 18260/ 21553 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 0.30 | learning rate: 3.037E-05 | global batch size: 256 | lm loss: 2.488095E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.973 | TFLOPs: 29.79 | 7: iteration 18270/ 21553 | consumed samples: 4677120 | consumed tokens: 9578741760 | elapsed time per iteration (s): 0.31 | learning rate: 3.031E-05 | global batch size: 256 | lm loss: 2.510667E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.200 | TFLOPs: 29.38 | 7: iteration 18280/ 21553 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 0.31 | learning rate: 3.025E-05 | global batch size: 256 | lm loss: 2.541334E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.671 | TFLOPs: 29.36 | 7: iteration 18290/ 21553 | consumed samples: 4682240 | consumed tokens: 9589227520 | elapsed time per iteration (s): 0.31 | learning rate: 3.019E-05 | global batch size: 256 | lm loss: 2.523886E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.537 | TFLOPs: 29.35 | 7: iteration 18300/ 21553 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 0.31 | learning rate: 3.013E-05 | global batch size: 256 | lm loss: 2.547338E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.791 | TFLOPs: 28.94 | 7: iteration 18310/ 21553 | consumed samples: 4687360 | consumed tokens: 9599713280 | elapsed time per iteration (s): 0.31 | learning rate: 3.007E-05 | global batch size: 256 | lm loss: 2.558762E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.815 | TFLOPs: 28.94 | 7: iteration 18320/ 21553 | consumed samples: 4689920 | consumed tokens: 9604956160 | elapsed time per iteration (s): 0.30 | learning rate: 3.001E-05 | global batch size: 256 | lm loss: 2.504689E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.787 | TFLOPs: 29.75 | 7: iteration 18330/ 21553 | consumed samples: 4692480 | consumed tokens: 9610199040 | elapsed time per iteration (s): 0.32 | learning rate: 2.994E-05 | global batch size: 256 | lm loss: 2.527962E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.413 | TFLOPs: 28.44 | 7: iteration 18340/ 21553 | consumed samples: 4695040 | consumed tokens: 9615441920 | elapsed time per iteration (s): 0.31 | learning rate: 2.988E-05 | global batch size: 256 | lm loss: 2.528691E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.066 | TFLOPs: 29.02 | 7: iteration 18350/ 21553 | consumed samples: 4697600 | consumed tokens: 9620684800 | elapsed time per iteration (s): 0.31 | learning rate: 2.982E-05 | global batch size: 256 | lm loss: 2.535941E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.492 | TFLOPs: 29.32 | 7: iteration 18360/ 21553 | consumed samples: 4700160 | consumed tokens: 9625927680 | elapsed time per iteration (s): 0.30 | learning rate: 2.976E-05 | global batch size: 256 | lm loss: 2.499235E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.856 | TFLOPs: 29.58 | 7: iteration 18370/ 21553 | consumed samples: 4702720 | consumed tokens: 9631170560 | elapsed time per iteration (s): 0.31 | learning rate: 2.970E-05 | global batch size: 256 | lm loss: 2.561516E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.218 | TFLOPs: 28.99 | 7: iteration 18380/ 21553 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 0.31 | learning rate: 2.964E-05 | global batch size: 256 | lm loss: 2.529496E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.491 | TFLOPs: 28.83 | 7: iteration 18390/ 21553 | consumed samples: 4707840 | consumed tokens: 9641656320 | elapsed time per iteration (s): 0.31 | learning rate: 2.958E-05 | global batch size: 256 | lm loss: 2.548573E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.163 | TFLOPs: 29.34 | 7: iteration 18400/ 21553 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 0.31 | learning rate: 2.953E-05 | global batch size: 256 | lm loss: 2.519832E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.087 | TFLOPs: 29.37 | 7: iteration 18410/ 21553 | consumed samples: 4712960 | consumed tokens: 9652142080 | elapsed time per iteration (s): 0.31 | learning rate: 2.947E-05 | global batch size: 256 | lm loss: 2.494648E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.760 | TFLOPs: 28.59 | 7: iteration 18420/ 21553 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 0.31 | learning rate: 2.941E-05 | global batch size: 256 | lm loss: 2.523516E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.228 | TFLOPs: 29.27 | 7: iteration 18430/ 21553 | consumed samples: 4718080 | consumed tokens: 9662627840 | elapsed time per iteration (s): 0.30 | learning rate: 2.935E-05 | global batch size: 256 | lm loss: 2.539376E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.960 | TFLOPs: 29.44 | 7: iteration 18440/ 21553 | consumed samples: 4720640 | consumed tokens: 9667870720 | elapsed time per iteration (s): 0.30 | learning rate: 2.929E-05 | global batch size: 256 | lm loss: 2.548992E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.104 | TFLOPs: 29.97 | 7: iteration 18450/ 21553 | consumed samples: 4723200 | consumed tokens: 9673113600 | elapsed time per iteration (s): 0.31 | learning rate: 2.923E-05 | global batch size: 256 | lm loss: 2.507101E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.957 | TFLOPs: 29.05 | 7: iteration 18460/ 21553 | consumed samples: 4725760 | consumed tokens: 9678356480 | elapsed time per iteration (s): 0.30 | learning rate: 2.917E-05 | global batch size: 256 | lm loss: 2.497760E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.119 | TFLOPs: 29.62 | 7: iteration 18470/ 21553 | consumed samples: 4728320 | consumed tokens: 9683599360 | elapsed time per iteration (s): 0.30 | learning rate: 2.911E-05 | global batch size: 256 | lm loss: 2.515434E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.780 | TFLOPs: 29.82 | 7: iteration 18480/ 21553 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 0.31 | learning rate: 2.906E-05 | global batch size: 256 | lm loss: 2.506378E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.338 | TFLOPs: 29.24 | 7: iteration 18490/ 21553 | consumed samples: 4733440 | consumed tokens: 9694085120 | elapsed time per iteration (s): 0.30 | learning rate: 2.900E-05 | global batch size: 256 | lm loss: 2.519620E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.671 | TFLOPs: 29.53 | 7: iteration 18500/ 21553 | consumed samples: 4736000 | consumed tokens: 9699328000 | elapsed time per iteration (s): 0.30 | learning rate: 2.894E-05 | global batch size: 256 | lm loss: 2.530023E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.021 | TFLOPs: 29.90 | 7: iteration 18510/ 21553 | consumed samples: 4738560 | consumed tokens: 9704570880 | elapsed time per iteration (s): 0.31 | learning rate: 2.888E-05 | global batch size: 256 | lm loss: 2.519214E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.649 | TFLOPs: 29.32 | 7: iteration 18520/ 21553 | consumed samples: 4741120 | consumed tokens: 9709813760 | elapsed time per iteration (s): 0.30 | learning rate: 2.883E-05 | global batch size: 256 | lm loss: 2.493200E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.452 | TFLOPs: 29.81 | 7: iteration 18530/ 21553 | consumed samples: 4743680 | consumed tokens: 9715056640 | elapsed time per iteration (s): 0.30 | learning rate: 2.877E-05 | global batch size: 256 | lm loss: 2.525378E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.377 | TFLOPs: 29.56 | 7: iteration 18540/ 21553 | consumed samples: 4746240 | consumed tokens: 9720299520 | elapsed time per iteration (s): 0.32 | learning rate: 2.871E-05 | global batch size: 256 | lm loss: 2.539714E+00 | grad norm: 0.279 | num zeros: 0.0 | number 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of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.451 | TFLOPs: 29.53 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 19000 | lm loss value: 2.435968E+00 | lm loss PPL: 1.142687E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 19000 to checkpoints_146m 0: [2022-11-25 19:09:51,228] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step19000 is begin to save! 0: [2022-11-25 19:09:51,231] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step19000/layer_01-model_00-model_states.pt... 0: [2022-11-25 19:09:51,372] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/layer_01-model_00-model_states.pt. 0: [2022-11-25 19:09:51,373] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[2022-11-25 19:09:51,699] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 2: [2022-11-25 19:09:51,700] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 6: [2022-11-25 19:09:51,698] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 4: [2022-11-25 19:09:51,699] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-25 19:09:51,700] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 6: [2022-11-25 19:09:51,698] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 4: [2022-11-25 19:09:51,702] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 2: [2022-11-25 19:09:51,700] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 6: [2022-11-25 19:09:51,700] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 4: [2022-11-25 19:09:51,702] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 2: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 6: [2022-11-25 19:09:51,700] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 4: [2022-11-25 19:09:51,702] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-25 19:09:51,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-25 19:09:51,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-25 19:09:51,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 6: [2022-11-25 19:09:51,700] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 4: [2022-11-25 19:09:51,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 2: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 6: [2022-11-25 19:09:51,703] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 4: [2022-11-25 19:09:51,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 6: [2022-11-25 19:09:51,703] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 4: [2022-11-25 19:09:51,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 6: [2022-11-25 19:09:51,703] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 4: [2022-11-25 19:09:51,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 6: [2022-11-25 19:09:51,704] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 4: [2022-11-25 19:09:51,704] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 6: [2022-11-25 19:09:51,704] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 4: [2022-11-25 19:09:51,704] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 6: [2022-11-25 19:09:51,704] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 4: [2022-11-25 19:09:51,707] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 6: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 4: [2022-11-25 19:09:51,707] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 6: [2022-11-25 19:09:51,705] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 4: [2022-11-25 19:09:51,707] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 6: [2022-11-25 19:09:51,705] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 0: [2022-11-25 19:09:51,712] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-25 19:09:51,712] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-25 19:09:51,712] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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now! 0: [2022-11-25 19:09:51,727] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step19000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 19:09:51,727] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 0: successfully saved checkpoint at iteration 19000 to checkpoints_146m 7: time (ms) | save-checkpoint: 503.41 7: iteration 19010/ 21553 | consumed samples: 4866560 | consumed tokens: 9966714880 | elapsed time per iteration (s): 0.36 | learning rate: 2.624E-05 | global batch size: 256 | lm loss: 2.549172E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 704.583 | TFLOPs: 24.67 | 7: iteration 19020/ 21553 | consumed samples: 4869120 | consumed tokens: 9971957760 | elapsed time per iteration (s): 0.30 | learning rate: 2.619E-05 | global batch size: 256 | lm loss: 2.541045E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.328 | TFLOPs: 29.49 | 7: iteration 19030/ 21553 | consumed samples: 4871680 | consumed tokens: 9977200640 | elapsed time per iteration (s): 0.30 | learning rate: 2.614E-05 | global batch size: 256 | lm loss: 2.506829E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.392 | TFLOPs: 29.73 | 7: iteration 19040/ 21553 | consumed samples: 4874240 | consumed tokens: 9982443520 | elapsed time per iteration (s): 0.30 | learning rate: 2.609E-05 | global batch size: 256 | lm loss: 2.544214E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.706 | TFLOPs: 30.03 | 7: iteration 19050/ 21553 | consumed samples: 4876800 | consumed tokens: 9987686400 | elapsed time per iteration (s): 0.30 | learning rate: 2.604E-05 | global batch size: 256 | lm loss: 2.509017E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.001 | TFLOPs: 29.69 | 7: iteration 19060/ 21553 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 0.30 | learning rate: 2.600E-05 | global batch size: 256 | lm loss: 2.511358E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.117 | TFLOPs: 29.52 | 7: iteration 19070/ 21553 | consumed samples: 4881920 | consumed tokens: 9998172160 | elapsed time per iteration (s): 0.30 | learning rate: 2.595E-05 | global batch size: 256 | lm loss: 2.499258E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.440 | TFLOPs: 29.91 | 7: iteration 19080/ 21553 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 0.31 | learning rate: 2.590E-05 | global batch size: 256 | lm loss: 2.531711E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.126 | TFLOPs: 29.38 | 7: iteration 19090/ 21553 | consumed samples: 4887040 | consumed tokens: 10008657920 | elapsed time per iteration (s): 0.31 | learning rate: 2.585E-05 | global batch size: 256 | lm loss: 2.548909E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.220 | TFLOPs: 29.34 | 7: iteration 19100/ 21553 | consumed samples: 4889600 | consumed tokens: 10013900800 | elapsed time per iteration (s): 0.30 | learning rate: 2.581E-05 | global batch size: 256 | lm loss: 2.553656E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.452 | TFLOPs: 29.49 | 7: iteration 19110/ 21553 | consumed samples: 4892160 | consumed tokens: 10019143680 | elapsed time per iteration (s): 0.30 | learning rate: 2.576E-05 | global batch size: 256 | lm loss: 2.554619E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.183 | TFLOPs: 29.59 | 7: iteration 19120/ 21553 | consumed samples: 4894720 | consumed tokens: 10024386560 | elapsed time per iteration (s): 0.31 | learning rate: 2.571E-05 | global batch size: 256 | lm loss: 2.517104E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.385 | TFLOPs: 28.79 | 7: iteration 19130/ 21553 | consumed samples: 4897280 | consumed tokens: 10029629440 | elapsed time per iteration (s): 0.32 | learning rate: 2.567E-05 | global batch size: 256 | lm loss: 2.511297E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.008 | TFLOPs: 27.90 | 7: iteration 19140/ 21553 | consumed 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iterations: 0 | samples per second: 851.966 | TFLOPs: 29.82 | 7: iteration 19200/ 21553 | consumed samples: 4915200 | consumed tokens: 10066329600 | elapsed time per iteration (s): 0.31 | learning rate: 2.535E-05 | global batch size: 256 | lm loss: 2.530020E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.816 | TFLOPs: 29.36 | 7: iteration 19210/ 21553 | consumed samples: 4917760 | consumed tokens: 10071572480 | elapsed time per iteration (s): 0.31 | learning rate: 2.530E-05 | global batch size: 256 | lm loss: 2.521156E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.138 | TFLOPs: 29.20 | 7: iteration 19220/ 21553 | consumed samples: 4920320 | consumed tokens: 10076815360 | elapsed time per iteration (s): 0.31 | learning rate: 2.526E-05 | global batch size: 256 | lm loss: 2.524742E+00 | grad norm: 0.271 | num zeros: 0.0 | 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2.499E-05 | global batch size: 256 | lm loss: 2.515935E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.394 | TFLOPs: 28.54 | 7: iteration 19290/ 21553 | consumed samples: 4938240 | consumed tokens: 10113515520 | elapsed time per iteration (s): 0.31 | learning rate: 2.495E-05 | global batch size: 256 | lm loss: 2.533063E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.876 | TFLOPs: 29.37 | 7: iteration 19300/ 21553 | consumed samples: 4940800 | consumed tokens: 10118758400 | elapsed time per iteration (s): 0.30 | learning rate: 2.491E-05 | global batch size: 256 | lm loss: 2.519939E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.417 | TFLOPs: 29.46 | 7: iteration 19310/ 21553 | consumed samples: 4943360 | consumed tokens: 10124001280 | elapsed time per iteration (s): 0.31 | learning rate: 2.486E-05 | global batch size: 256 | lm loss: 2.513390E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.732 | TFLOPs: 29.08 | 7: iteration 19320/ 21553 | consumed samples: 4945920 | consumed tokens: 10129244160 | elapsed time per iteration (s): 0.31 | learning rate: 2.482E-05 | global batch size: 256 | lm loss: 2.501093E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.335 | TFLOPs: 29.03 | 7: iteration 19330/ 21553 | consumed samples: 4948480 | consumed tokens: 10134487040 | elapsed time per iteration (s): 0.31 | learning rate: 2.478E-05 | global batch size: 256 | lm loss: 2.496003E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.364 | TFLOPs: 29.28 | 7: iteration 19340/ 21553 | consumed samples: 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iteration 19370/ 21553 | consumed samples: 4958720 | consumed tokens: 10155458560 | elapsed time per iteration (s): 0.31 | learning rate: 2.461E-05 | global batch size: 256 | lm loss: 2.513473E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.718 | TFLOPs: 28.49 | 7: iteration 19380/ 21553 | consumed samples: 4961280 | consumed tokens: 10160701440 | elapsed time per iteration (s): 0.31 | learning rate: 2.457E-05 | global batch size: 256 | lm loss: 2.493015E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.029 | TFLOPs: 28.53 | 7: iteration 19390/ 21553 | consumed samples: 4963840 | consumed tokens: 10165944320 | elapsed time per iteration (s): 0.30 | learning rate: 2.453E-05 | global batch size: 256 | lm loss: 2.522821E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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TFLOPs: 29.47 | 7: iteration 19600/ 21553 | consumed samples: 5017600 | consumed tokens: 10276044800 | elapsed time per iteration (s): 0.30 | learning rate: 2.370E-05 | global batch size: 256 | lm loss: 2.492441E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.543 | TFLOPs: 29.50 | 7: iteration 19610/ 21553 | consumed samples: 5020160 | consumed tokens: 10281287680 | elapsed time per iteration (s): 0.31 | learning rate: 2.366E-05 | global batch size: 256 | lm loss: 2.526531E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.609 | TFLOPs: 28.62 | 7: iteration 19620/ 21553 | consumed samples: 5022720 | consumed tokens: 10286530560 | elapsed time per iteration (s): 0.31 | learning rate: 2.362E-05 | global batch size: 256 | lm loss: 2.535036E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan 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samples per second: 852.826 | TFLOPs: 29.86 | 7: iteration 19830/ 21553 | consumed samples: 5076480 | consumed tokens: 10396631040 | elapsed time per iteration (s): 0.30 | learning rate: 2.288E-05 | global batch size: 256 | lm loss: 2.491146E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.124 | TFLOPs: 29.62 | 7: iteration 19840/ 21553 | consumed samples: 5079040 | consumed tokens: 10401873920 | elapsed time per iteration (s): 0.31 | learning rate: 2.285E-05 | global batch size: 256 | lm loss: 2.496133E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.176 | TFLOPs: 28.96 | 7: iteration 19850/ 21553 | consumed samples: 5081600 | consumed tokens: 10407116800 | elapsed time per iteration (s): 0.33 | learning rate: 2.281E-05 | global batch size: 256 | lm loss: 2.539488E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 772.850 | TFLOPs: 27.06 | 7: iteration 19860/ 21553 | consumed samples: 5084160 | consumed tokens: 10412359680 | elapsed time per iteration (s): 0.32 | learning rate: 2.278E-05 | global batch size: 256 | lm loss: 2.535261E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.827 | TFLOPs: 28.00 | 7: iteration 19870/ 21553 | consumed samples: 5086720 | consumed tokens: 10417602560 | elapsed time per iteration (s): 0.31 | learning rate: 2.275E-05 | global batch size: 256 | lm loss: 2.543786E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.822 | TFLOPs: 29.33 | 7: iteration 19880/ 21553 | consumed samples: 5089280 | consumed tokens: 10422845440 | elapsed time per iteration (s): 0.30 | learning rate: 2.272E-05 | global batch size: 256 | lm loss: 2.520131E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.540 | TFLOPs: 29.95 | 7: iteration 19890/ 21553 | consumed samples: 5091840 | consumed tokens: 10428088320 | elapsed time per iteration (s): 0.31 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 2.519885E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.507 | TFLOPs: 28.97 | 7: iteration 19900/ 21553 | consumed samples: 5094400 | consumed tokens: 10433331200 | elapsed time per iteration (s): 0.31 | learning rate: 2.265E-05 | global batch size: 256 | lm loss: 2.518408E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.490 | TFLOPs: 29.32 | 7: iteration 19910/ 21553 | consumed samples: 5096960 | consumed tokens: 10438574080 | elapsed time per iteration (s): 0.30 | learning rate: 2.262E-05 | global batch size: 256 | lm loss: 2.538610E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.153 | TFLOPs: 29.76 | 7: iteration 19920/ 21553 | consumed samples: 5099520 | consumed tokens: 10443816960 | elapsed time per iteration (s): 0.31 | learning rate: 2.259E-05 | global batch size: 256 | lm loss: 2.548441E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.245 | TFLOPs: 28.64 | 7: iteration 19930/ 21553 | consumed samples: 5102080 | consumed tokens: 10449059840 | elapsed time per iteration (s): 0.30 | learning rate: 2.256E-05 | global batch size: 256 | lm loss: 2.484783E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.567 | TFLOPs: 29.64 | 7: iteration 19940/ 21553 | consumed samples: 5104640 | consumed tokens: 10454302720 | elapsed time per iteration (s): 0.30 | learning rate: 2.253E-05 | global batch size: 256 | lm loss: 2.546666E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.052 | TFLOPs: 29.48 | 7: iteration 19950/ 21553 | consumed samples: 5107200 | consumed tokens: 10459545600 | elapsed time per iteration (s): 0.30 | learning rate: 2.250E-05 | global batch size: 256 | lm loss: 2.494469E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.592 | TFLOPs: 30.06 | 7: iteration 19960/ 21553 | consumed samples: 5109760 | consumed tokens: 10464788480 | elapsed time per iteration (s): 0.30 | learning rate: 2.246E-05 | global batch size: 256 | lm loss: 2.492318E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.561 | TFLOPs: 29.39 | 7: iteration 19970/ 21553 | consumed samples: 5112320 | consumed tokens: 10470031360 | elapsed time per iteration (s): 0.31 | learning rate: 2.243E-05 | global batch size: 256 | lm loss: 2.533405E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.446 | TFLOPs: 28.79 | 7: iteration 19980/ 21553 | consumed samples: 5114880 | consumed tokens: 10475274240 | elapsed time per iteration (s): 0.31 | learning rate: 2.240E-05 | global batch size: 256 | lm loss: 2.537734E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.307 | TFLOPs: 29.31 | 7: iteration 19990/ 21553 | consumed samples: 5117440 | consumed tokens: 10480517120 | elapsed time per iteration (s): 0.31 | learning rate: 2.237E-05 | global batch size: 256 | lm loss: 2.531286E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.756 | TFLOPs: 29.05 | 0: [2022-11-25 19:14:57,916] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[2.234259142486404e-05, 2.234259142486404e-05, 2.234259142486404e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 20000/ 21553 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 0.31 | learning rate: 2.234E-05 | global batch size: 256 | lm loss: 2.550459E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.378 | TFLOPs: 29.21 | 0: steps: 20000 loss: 2.5142 iter time (s): 0.304 samples/sec: 842.482 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 20000 | lm loss value: 2.402645E+00 | lm loss PPL: 1.105237E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 20000 to checkpoints_146m 0: [2022-11-25 19:14:58,040] [INFO] 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[2022-11-25 19:14:58,444] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step20000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-25 19:14:58,445] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step20000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-25 19:14:58,445] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: [2022-11-25 19:14:58,454] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step20000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 19:14:58,454] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: successfully saved checkpoint at iteration 20000 to checkpoints_146m 7: time (ms) | save-checkpoint: 421.20 7: iteration 20010/ 21553 | consumed samples: 5122560 | consumed tokens: 10491002880 | elapsed time per iteration (s): 0.35 | learning rate: 2.231E-05 | global batch size: 256 | lm loss: 2.523115E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 722.767 | TFLOPs: 25.30 | 7: iteration 20020/ 21553 | consumed samples: 5125120 | consumed tokens: 10496245760 | elapsed time per iteration (s): 0.31 | learning rate: 2.228E-05 | global batch size: 256 | lm loss: 2.497172E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.780 | TFLOPs: 29.15 | 7: iteration 20030/ 21553 | consumed samples: 5127680 | consumed tokens: 10501488640 | elapsed time per iteration (s): 0.30 | learning rate: 2.225E-05 | global batch size: 256 | lm loss: 2.526027E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.860 | TFLOPs: 29.61 | 7: iteration 20040/ 21553 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 0.30 | learning rate: 2.222E-05 | global batch size: 256 | lm loss: 2.530202E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.251 | TFLOPs: 29.69 | 7: iteration 20050/ 21553 | consumed samples: 5132800 | consumed tokens: 10511974400 | elapsed time per iteration (s): 0.31 | learning rate: 2.219E-05 | global batch size: 256 | lm loss: 2.505853E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.508 | TFLOPs: 29.21 | 7: iteration 20060/ 21553 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 0.30 | learning rate: 2.217E-05 | global batch size: 256 | lm loss: 2.523782E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.198 | TFLOPs: 30.04 | 7: iteration 20070/ 21553 | consumed samples: 5137920 | consumed tokens: 10522460160 | elapsed time per iteration (s): 0.31 | learning rate: 2.214E-05 | global batch size: 256 | lm loss: 2.488841E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.026 | TFLOPs: 29.23 | 7: iteration 20080/ 21553 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 0.31 | learning rate: 2.211E-05 | global batch size: 256 | lm loss: 2.503445E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.738 | TFLOPs: 29.19 | 7: iteration 20090/ 21553 | consumed samples: 5143040 | consumed tokens: 10532945920 | elapsed time per iteration (s): 0.30 | learning rate: 2.208E-05 | global batch size: 256 | lm loss: 2.472672E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.790 | TFLOPs: 29.82 | 7: iteration 20100/ 21553 | consumed samples: 5145600 | consumed tokens: 10538188800 | elapsed time per iteration (s): 0.30 | learning rate: 2.205E-05 | global batch size: 256 | lm loss: 2.536821E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.397 | TFLOPs: 29.77 | 7: iteration 20110/ 21553 | consumed samples: 5148160 | consumed tokens: 10543431680 | elapsed time per iteration (s): 0.31 | learning rate: 2.202E-05 | global batch size: 256 | lm loss: 2.494213E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.835 | TFLOPs: 29.33 | 7: iteration 20120/ 21553 | consumed samples: 5150720 | consumed tokens: 10548674560 | elapsed time per iteration (s): 0.30 | learning rate: 2.200E-05 | global batch size: 256 | lm loss: 2.504790E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.031 | TFLOPs: 29.58 | 7: iteration 20130/ 21553 | consumed samples: 5153280 | consumed tokens: 10553917440 | elapsed time per iteration (s): 0.30 | learning rate: 2.197E-05 | global batch size: 256 | lm loss: 2.517706E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.230 | TFLOPs: 30.04 | 7: iteration 20140/ 21553 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 0.30 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.508090E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.041 | TFLOPs: 29.44 | 7: iteration 20150/ 21553 | consumed samples: 5158400 | consumed tokens: 10564403200 | elapsed time per iteration (s): 0.30 | learning rate: 2.191E-05 | global batch size: 256 | lm loss: 2.524609E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.020 | TFLOPs: 29.72 | 7: iteration 20160/ 21553 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 0.31 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.559445E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.795 | TFLOPs: 28.49 | 7: iteration 20170/ 21553 | consumed samples: 5163520 | consumed tokens: 10574888960 | elapsed time per iteration (s): 0.31 | learning rate: 2.186E-05 | global batch size: 256 | lm loss: 2.510787E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.868 | TFLOPs: 29.09 | 7: iteration 20180/ 21553 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 0.30 | learning rate: 2.183E-05 | global batch size: 256 | lm loss: 2.519798E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.366 | TFLOPs: 29.98 | 7: iteration 20190/ 21553 | consumed samples: 5168640 | consumed tokens: 10585374720 | elapsed time per iteration (s): 0.30 | learning rate: 2.181E-05 | global batch size: 256 | lm loss: 2.515867E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.773 | TFLOPs: 29.92 | 7: iteration 20200/ 21553 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 0.30 | learning rate: 2.178E-05 | global batch size: 256 | lm loss: 2.526282E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.076 | TFLOPs: 29.79 | 7: iteration 20210/ 21553 | consumed samples: 5173760 | consumed tokens: 10595860480 | elapsed time per iteration (s): 0.31 | learning 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29.74 | 7: iteration 20300/ 21553 | consumed samples: 5196800 | consumed tokens: 10643046400 | elapsed time per iteration (s): 0.31 | learning rate: 2.153E-05 | global batch size: 256 | lm loss: 2.498795E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.592 | TFLOPs: 28.55 | 7: iteration 20310/ 21553 | consumed samples: 5199360 | consumed tokens: 10648289280 | elapsed time per iteration (s): 0.30 | learning rate: 2.150E-05 | global batch size: 256 | lm loss: 2.503430E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.883 | TFLOPs: 29.47 | 7: iteration 20320/ 21553 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 0.30 | learning rate: 2.148E-05 | global batch size: 256 | lm loss: 2.519548E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.251 | TFLOPs: 29.80 | 7: iteration 20330/ 21553 | consumed samples: 5204480 | consumed tokens: 10658775040 | elapsed time per iteration (s): 0.31 | learning rate: 2.146E-05 | global batch size: 256 | lm loss: 2.537739E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.055 | TFLOPs: 28.57 | 7: iteration 20340/ 21553 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 0.30 | learning rate: 2.143E-05 | global batch size: 256 | lm loss: 2.507456E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.769 | TFLOPs: 29.64 | 7: iteration 20350/ 21553 | consumed samples: 5209600 | consumed tokens: 10669260800 | elapsed time per iteration (s): 0.32 | learning rate: 2.141E-05 | global batch size: 256 | lm loss: 2.470770E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.202 | TFLOPs: 28.26 | 7: iteration 20360/ 21553 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 0.30 | learning rate: 2.138E-05 | global batch size: 256 | lm loss: 2.522427E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.335 | TFLOPs: 29.42 | 7: iteration 20370/ 21553 | consumed samples: 5214720 | consumed tokens: 10679746560 | elapsed time per iteration (s): 0.30 | learning rate: 2.136E-05 | global batch size: 256 | lm loss: 2.494706E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.000 | TFLOPs: 29.83 | 7: iteration 20380/ 21553 | consumed samples: 5217280 | consumed tokens: 10684989440 | elapsed time per iteration (s): 0.30 | learning rate: 2.134E-05 | global batch size: 256 | lm loss: 2.521528E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.533 | TFLOPs: 29.81 | 7: iteration 20390/ 21553 | consumed samples: 5219840 | consumed tokens: 10690232320 | elapsed time per iteration (s): 0.30 | learning rate: 2.132E-05 | global batch size: 256 | lm loss: 2.492818E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.125 | TFLOPs: 29.76 | 7: iteration 20400/ 21553 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 0.30 | learning rate: 2.129E-05 | global batch size: 256 | lm loss: 2.542459E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.048 | TFLOPs: 30.00 | 7: iteration 20410/ 21553 | consumed samples: 5224960 | consumed tokens: 10700718080 | elapsed time per iteration (s): 0.31 | learning rate: 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iteration 20500/ 21553 | consumed samples: 5248000 | consumed tokens: 10747904000 | elapsed time per iteration (s): 0.30 | learning rate: 2.108E-05 | global batch size: 256 | lm loss: 2.526006E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.283 | TFLOPs: 29.52 | 7: iteration 20510/ 21553 | consumed samples: 5250560 | consumed tokens: 10753146880 | elapsed time per iteration (s): 0.31 | learning rate: 2.106E-05 | global batch size: 256 | lm loss: 2.513317E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.965 | TFLOPs: 28.84 | 7: iteration 20520/ 21553 | consumed samples: 5253120 | consumed tokens: 10758389760 | elapsed time per iteration (s): 0.32 | learning rate: 2.104E-05 | global batch size: 256 | lm loss: 2.566718E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.468 | TFLOPs: 28.41 | 7: iteration 20530/ 21553 | consumed samples: 5255680 | consumed tokens: 10763632640 | elapsed time per iteration (s): 0.30 | learning rate: 2.102E-05 | global batch size: 256 | lm loss: 2.529466E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.937 | TFLOPs: 29.86 | 7: iteration 20540/ 21553 | consumed samples: 5258240 | consumed tokens: 10768875520 | elapsed time per iteration (s): 0.30 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 2.499536E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.464 | TFLOPs: 29.56 | 7: iteration 20550/ 21553 | consumed samples: 5260800 | consumed tokens: 10774118400 | elapsed time per iteration (s): 0.30 | learning rate: 2.098E-05 | global batch size: 256 | lm loss: 2.530056E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.211 | TFLOPs: 29.83 | 7: iteration 20560/ 21553 | consumed samples: 5263360 | consumed tokens: 10779361280 | elapsed time per iteration (s): 0.31 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.516222E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.512 | TFLOPs: 28.48 | 7: iteration 20570/ 21553 | consumed samples: 5265920 | consumed tokens: 10784604160 | elapsed time per iteration (s): 0.31 | learning rate: 2.094E-05 | global batch size: 256 | lm loss: 2.505696E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.756 | TFLOPs: 29.05 | 7: iteration 20580/ 21553 | consumed samples: 5268480 | consumed tokens: 10789847040 | elapsed time per iteration (s): 0.30 | learning rate: 2.092E-05 | global batch size: 256 | lm loss: 2.484843E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.193 | TFLOPs: 29.55 | 7: iteration 20590/ 21553 | consumed samples: 5271040 | consumed tokens: 10795089920 | elapsed time per iteration (s): 0.31 | learning rate: 2.090E-05 | global batch size: 256 | lm loss: 2.520329E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.482 | TFLOPs: 29.35 | 7: iteration 20600/ 21553 | consumed samples: 5273600 | consumed tokens: 10800332800 | elapsed time per iteration (s): 0.31 | learning rate: 2.088E-05 | global batch size: 256 | lm loss: 2.493446E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.306 | TFLOPs: 29.17 | 7: iteration 20610/ 21553 | consumed samples: 5276160 | consumed tokens: 10805575680 | elapsed time per iteration (s): 0.32 | learning rate: 2.087E-05 | global batch size: 256 | lm loss: 2.501813E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.852 | TFLOPs: 28.07 | 7: iteration 20620/ 21553 | consumed samples: 5278720 | consumed tokens: 10810818560 | elapsed time per iteration (s): 0.31 | learning rate: 2.085E-05 | global batch size: 256 | lm loss: 2.491986E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.300 | TFLOPs: 28.96 | 7: iteration 20630/ 21553 | consumed samples: 5281280 | consumed tokens: 10816061440 | elapsed time per iteration (s): 0.31 | learning rate: 2.083E-05 | global batch size: 256 | lm loss: 2.543856E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.058 | TFLOPs: 29.20 | 7: iteration 20640/ 21553 | consumed samples: 5283840 | consumed tokens: 10821304320 | elapsed time per iteration (s): 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iteration 20930/ 21553 | consumed samples: 5358080 | consumed tokens: 10973347840 | elapsed time per iteration (s): 0.31 | learning rate: 2.038E-05 | global batch size: 256 | lm loss: 2.513692E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.481 | TFLOPs: 28.62 | 7: iteration 20940/ 21553 | consumed samples: 5360640 | consumed tokens: 10978590720 | elapsed time per iteration (s): 0.31 | learning rate: 2.037E-05 | global batch size: 256 | lm loss: 2.484138E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.798 | TFLOPs: 29.36 | 7: iteration 20950/ 21553 | consumed samples: 5363200 | consumed tokens: 10983833600 | elapsed time per iteration (s): 0.30 | learning rate: 2.035E-05 | global batch size: 256 | lm loss: 2.503504E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.306 | TFLOPs: 29.45 | 7: iteration 20960/ 21553 | consumed samples: 5365760 | consumed tokens: 10989076480 | elapsed time per iteration (s): 0.31 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.508119E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.747 | TFLOPs: 29.08 | 7: iteration 20970/ 21553 | consumed samples: 5368320 | consumed tokens: 10994319360 | elapsed time per iteration (s): 0.31 | learning rate: 2.033E-05 | global batch size: 256 | lm loss: 2.501108E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.411 | TFLOPs: 29.25 | 7: iteration 20980/ 21553 | consumed samples: 5370880 | consumed tokens: 10999562240 | elapsed time per iteration (s): 0.30 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.488489E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.335 | TFLOPs: 29.42 | 7: iteration 20990/ 21553 | consumed samples: 5373440 | consumed tokens: 11004805120 | elapsed time per iteration (s): 0.30 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.516279E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.823 | TFLOPs: 29.43 | 7: iteration 21000/ 21553 | consumed samples: 5376000 | consumed tokens: 11010048000 | elapsed time per iteration (s): 0.31 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.522742E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.601 | TFLOPs: 29.08 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 21000 | lm loss value: 2.456617E+00 | lm loss PPL: 1.166528E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 21000 to checkpoints_146m 0: [2022-11-25 19:20:04,623] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21000 is begin to save! 0: [2022-11-25 19:20:04,627] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step21000/layer_01-model_00-model_states.pt... 0: [2022-11-25 19:20:04,760] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/layer_01-model_00-model_states.pt. 0: [2022-11-25 19:20:04,760] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step21000/layer_03-model_00-model_states.pt... 0: [2022-11-25 19:20:04,781] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/layer_03-model_00-model_states.pt. 0: [2022-11-25 19:20:04,782] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_146m/global_step21000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 5: [2022-11-25 19:20:05,082] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 6: [2022-11-25 19:20:05,081] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 2: [2022-11-25 19:20:05,079] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 6: [2022-11-25 19:20:05,081] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 5: [2022-11-25 19:20:05,082] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: [2022-11-25 19:20:05,082] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-25 19:20:05,082] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-25 19:20:05,082] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2022-11-25 19:20:05,082] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: [2022-11-25 19:20:05,082] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-25 19:20:05,083] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-25 19:20:05,083] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: [2022-11-25 19:20:05,083] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2022-11-25 19:20:05,083] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-25 19:20:05,083] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 3: [2022-11-25 19:20:05,083] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-25 19:20:05,083] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-25 19:20:05,083] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 5: [2022-11-25 19:20:05,084] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-25 19:20:05,084] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-25 19:20:05,084] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 6: [2022-11-25 19:20:05,084] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-25 19:20:05,084] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-25 19:20:05,084] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: [2022-11-25 19:20:05,099] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m/global_step21000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 19:20:05,099] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: successfully saved checkpoint at iteration 21000 to checkpoints_146m 7: time (ms) | save-checkpoint: 483.37 7: iteration 21010/ 21553 | consumed samples: 5378560 | consumed tokens: 11015290880 | elapsed time per iteration (s): 0.36 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 2.538111E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 704.150 | TFLOPs: 24.65 | 7: iteration 21020/ 21553 | consumed samples: 5381120 | consumed tokens: 11020533760 | elapsed time per iteration (s): 0.30 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.527905E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.983 | TFLOPs: 29.58 | 7: iteration 21030/ 21553 | consumed samples: 5383680 | consumed tokens: 11025776640 | elapsed time per iteration (s): 0.31 | learning rate: 2.027E-05 | global batch size: 256 | lm loss: 2.544790E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.586 | TFLOPs: 29.15 | 7: iteration 21040/ 21553 | consumed samples: 5386240 | consumed tokens: 11031019520 | elapsed time per iteration (s): 0.31 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.499258E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.570 | TFLOPs: 29.36 | 7: iteration 21050/ 21553 | consumed samples: 5388800 | consumed tokens: 11036262400 | elapsed time per iteration (s): 0.30 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 2.516907E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.663 | TFLOPs: 29.85 | 7: iteration 21060/ 21553 | consumed samples: 5391360 | consumed tokens: 11041505280 | elapsed time per iteration (s): 0.30 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.544616E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.764 | TFLOPs: 29.64 | 7: iteration 21070/ 21553 | consumed samples: 5393920 | consumed tokens: 11046748160 | elapsed time per iteration (s): 0.30 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.496880E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.854 | TFLOPs: 30.00 | 7: iteration 21080/ 21553 | consumed samples: 5396480 | consumed tokens: 11051991040 | elapsed time per iteration (s): 0.31 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.490743E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.925 | TFLOPs: 29.30 | 7: iteration 21090/ 21553 | consumed samples: 5399040 | consumed tokens: 11057233920 | elapsed time per iteration (s): 0.31 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 2.496221E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.885 | TFLOPs: 29.16 | 7: iteration 21100/ 21553 | consumed samples: 5401600 | consumed tokens: 11062476800 | elapsed time per iteration (s): 0.31 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.499943E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.892 | TFLOPs: 29.05 | 7: iteration 21110/ 21553 | consumed samples: 5404160 | consumed tokens: 11067719680 | elapsed time per iteration (s): 0.30 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.537133E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.915 | TFLOPs: 29.58 | 7: iteration 21120/ 21553 | consumed samples: 5406720 | consumed tokens: 11072962560 | elapsed time per iteration (s): 0.30 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.535813E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.752 | TFLOPs: 29.68 | 7: iteration 21130/ 21553 | consumed samples: 5409280 | consumed tokens: 11078205440 | elapsed time per iteration (s): 0.30 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.497601E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.288 | TFLOPs: 29.87 | 7: iteration 21140/ 21553 | consumed samples: 5411840 | consumed tokens: 11083448320 | elapsed time per iteration (s): 0.31 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.514046E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.264 | TFLOPs: 29.35 | 7: iteration 21150/ 21553 | consumed samples: 5414400 | consumed tokens: 11088691200 | elapsed time per iteration (s): 0.31 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.533695E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.907 | TFLOPs: 29.37 | 7: iteration 21160/ 21553 | consumed samples: 5416960 | consumed tokens: 11093934080 | elapsed time per iteration (s): 0.31 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.518883E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.641 | TFLOPs: 28.76 | 7: iteration 21170/ 21553 | consumed samples: 5419520 | consumed tokens: 11099176960 | elapsed time per iteration (s): 0.31 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.498919E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.966 | TFLOPs: 28.67 | 7: iteration 21180/ 21553 | consumed samples: 5422080 | consumed tokens: 11104419840 | elapsed time per iteration (s): 0.30 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.496676E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.677 | TFLOPs: 29.64 | 7: iteration 21190/ 21553 | consumed samples: 5424640 | consumed tokens: 11109662720 | elapsed time per iteration (s): 0.30 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.516395E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.376 | TFLOPs: 29.94 | 7: iteration 21200/ 21553 | consumed samples: 5427200 | consumed tokens: 11114905600 | elapsed time per iteration (s): 0.31 | learning rate: 2.012E-05 | global batch size: 256 | lm loss: 2.503548E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.190 | TFLOPs: 29.38 | 7: iteration 21210/ 21553 | consumed samples: 5429760 | consumed tokens: 11120148480 | elapsed time per iteration (s): 0.31 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.490578E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.622 | TFLOPs: 28.73 | 7: iteration 21220/ 21553 | consumed samples: 5432320 | consumed tokens: 11125391360 | elapsed time per iteration (s): 0.30 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.510207E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.271 | TFLOPs: 29.49 | 7: iteration 21230/ 21553 | consumed samples: 5434880 | consumed tokens: 11130634240 | elapsed time per iteration (s): 0.30 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.492228E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.322 | TFLOPs: 29.42 | 7: iteration 21240/ 21553 | consumed samples: 5437440 | consumed tokens: 11135877120 | elapsed time per iteration (s): 0.31 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.476948E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.295 | TFLOPs: 29.03 | 7: iteration 21250/ 21553 | consumed samples: 5440000 | consumed tokens: 11141120000 | elapsed time per iteration (s): 0.30 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.548515E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.911 | TFLOPs: 29.47 | 7: iteration 21260/ 21553 | consumed samples: 5442560 | consumed tokens: 11146362880 | elapsed time per iteration (s): 0.31 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.520410E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.037 | TFLOPs: 28.74 | 7: iteration 21270/ 21553 | consumed samples: 5445120 | consumed tokens: 11151605760 | elapsed time per iteration (s): 0.30 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.493718E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.970 | TFLOPs: 29.58 | 7: iteration 21280/ 21553 | consumed samples: 5447680 | consumed tokens: 11156848640 | elapsed time per iteration (s): 0.31 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.510112E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.736 | TFLOPs: 29.15 | 7: iteration 21290/ 21553 | consumed samples: 5450240 | consumed tokens: 11162091520 | elapsed time per iteration (s): 0.30 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.560064E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.383 | TFLOPs: 29.42 | 7: iteration 21300/ 21553 | consumed samples: 5452800 | consumed tokens: 11167334400 | elapsed time per iteration (s): 0.31 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.509110E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.582 | TFLOPs: 29.25 | 7: iteration 21310/ 21553 | consumed samples: 5455360 | consumed tokens: 11172577280 | elapsed time per iteration (s): 0.31 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.500139E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.272 | TFLOPs: 29.31 | 7: iteration 21320/ 21553 | consumed samples: 5457920 | consumed tokens: 11177820160 | elapsed time per iteration (s): 0.32 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.521377E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.756 | TFLOPs: 27.65 | 7: iteration 21330/ 21553 | consumed samples: 5460480 | consumed tokens: 11183063040 | elapsed time per iteration (s): 0.30 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.495726E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.782 | TFLOPs: 29.57 | 7: iteration 21340/ 21553 | consumed samples: 5463040 | consumed tokens: 11188305920 | elapsed time per iteration (s): 0.31 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.508752E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.862 | TFLOPs: 29.09 | 7: iteration 21350/ 21553 | consumed samples: 5465600 | consumed tokens: 11193548800 | elapsed time per iteration (s): 0.30 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.534673E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.611 | TFLOPs: 29.50 | 7: iteration 21360/ 21553 | consumed samples: 5468160 | consumed tokens: 11198791680 | elapsed time per iteration (s): 0.30 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.534114E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.385 | TFLOPs: 29.45 | 7: iteration 21370/ 21553 | consumed samples: 5470720 | consumed tokens: 11204034560 | elapsed time per iteration (s): 0.31 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.537153E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.282 | TFLOPs: 28.89 | 7: iteration 21380/ 21553 | consumed samples: 5473280 | consumed tokens: 11209277440 | elapsed time per iteration (s): 0.31 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.479846E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.848 | TFLOPs: 29.30 | 7: iteration 21390/ 21553 | consumed samples: 5475840 | consumed tokens: 11214520320 | elapsed time per iteration (s): 0.30 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.518854E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.837 | TFLOPs: 29.79 | 7: iteration 21400/ 21553 | consumed samples: 5478400 | consumed tokens: 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consumed samples: 5486080 | consumed tokens: 11235491840 | elapsed time per iteration (s): 0.31 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.547098E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.417 | TFLOPs: 29.07 | 7: iteration 21440/ 21553 | consumed samples: 5488640 | consumed tokens: 11240734720 | elapsed time per iteration (s): 0.30 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.532064E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.035 | TFLOPs: 29.51 | 7: iteration 21450/ 21553 | consumed samples: 5491200 | consumed tokens: 11245977600 | elapsed time per iteration (s): 0.30 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.523104E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.413 | TFLOPs: 29.39 | 7: iteration 21460/ 21553 | consumed samples: 5493760 | consumed tokens: 11251220480 | elapsed time per iteration (s): 0.31 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.499373E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.317 | TFLOPs: 28.86 | 7: iteration 21470/ 21553 | consumed samples: 5496320 | consumed tokens: 11256463360 | elapsed time per iteration (s): 0.30 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.501291E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.193 | TFLOPs: 29.73 | 7: iteration 21480/ 21553 | consumed samples: 5498880 | consumed tokens: 11261706240 | elapsed time per iteration (s): 0.30 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.508778E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.670 | TFLOPs: 29.53 | 7: iteration 21490/ 21553 | consumed samples: 5501440 | consumed tokens: 11266949120 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.542204E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.730 | TFLOPs: 29.78 | 7: iteration 21500/ 21553 | consumed samples: 5504000 | consumed tokens: 11272192000 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.517018E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.747 | TFLOPs: 28.91 | 7: iteration 21510/ 21553 | consumed samples: 5506560 | consumed tokens: 11277434880 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.480084E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.960 | TFLOPs: 29.61 | 7: iteration 21520/ 21553 | consumed samples: 5509120 | consumed tokens: 11282677760 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.526701E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.905 | TFLOPs: 28.95 | 7: iteration 21530/ 21553 | consumed samples: 5511680 | consumed tokens: 11287920640 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.486632E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.331 | TFLOPs: 29.31 | 7: iteration 21540/ 21553 | consumed samples: 5514240 | consumed tokens: 11293163520 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.470091E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.482 | TFLOPs: 29.60 | 7: iteration 21550/ 21553 | consumed samples: 5516800 | consumed tokens: 11298406400 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.528057E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.838 | TFLOPs: 29.68 | 0: [after training is done] datetime: 2022-11-25 19:22:53 0: saving checkpoint at iteration 21553 to checkpoints_146m 7: ------------------------------------------------------------------------------------------------------------ 7: valid loss at the end of training for val data | lm loss value: 2.430283E+00 | lm loss PPL: 1.136210E+01 | 7: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-25 19:22:54,073] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21553 is begin to save! 0: [2022-11-25 19:22:54,076] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step21553/layer_01-model_00-model_states.pt... 0: [2022-11-25 19:22:54,168] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21553/layer_01-model_00-model_states.pt. 0: [2022-11-25 19:22:54,169] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step21553/layer_03-model_00-model_states.pt... 0: [2022-11-25 19:22:54,184] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m/global_step21553/layer_03-model_00-model_states.pt. 0: [2022-11-25 19:22:54,185] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m/global_step21553/layer_04-model_00-model_states.pt... 0: [2022-11-25 19:22:54,199] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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0: successfully saved checkpoint at iteration 21553 to checkpoints_146m 7: ------------------------------------------------------------------------------------------------------------ 7: test loss at the end of training for test data | lm loss value: 2.427787E+00 | lm loss PPL: 1.133378E+01 | 7: ------------------------------------------------------------------------------------------------------------ END 2072536: Fri Nov 25 19:23:06 EET 2022