Model parameters: d_model 1024 ffw_size 4096 kv_size 64 n_heads 16 n_layers 18 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 18 --hidden-size 1024 --num-attention-heads 16 --kv-channels 64 --ffn-hidden-size 4096 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 2_884_878 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-280m --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 2_884_878 --lr-warmup-samples 28_849 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_280m --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_280m --load checkpoints_280m --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/2068493.json --zero-stage 0 START 2068493: Thu Nov 24 20:52:39 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 45.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 41.0c 79.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 46.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 43.0c 77.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= 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 49.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 44.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 48.0c 82.0W 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 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 48.0c 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 44.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 47.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 39.0c 84.0W 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 ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 51.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 54.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 42.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 46.0c 81.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 44.0c 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 48.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 40.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 46.0c 77.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 45.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= 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 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 41.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 48.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= 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 48.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 46.0c 81.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 39.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= 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 51.0c 101.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 43.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 45.0c 81.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 2: Launching on nid005062 (2/8), master nid005060 port 9999, GPUs 8, CUDA: True 3: Launching on nid005063 (3/8), master nid005060 port 9999, GPUs 8, CUDA: True 7: Launching on nid005067 (7/8), master nid005060 port 9999, GPUs 8, CUDA: True 1: Launching on nid005061 (1/8), master nid005060 port 9999, GPUs 8, CUDA: True 6: Launching on nid005066 (6/8), master nid005060 port 9999, GPUs 8, CUDA: True 5: Launching on nid005065 (5/8), master nid005060 port 9999, GPUs 8, CUDA: True 0: Launching on nid005060 (0/8), master nid005060 port 9999, GPUs 8, CUDA: True 4: Launching on nid005064 (4/8), master nid005060 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/2068493.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 ................................. 4096 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 ..................................... 1024 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-280m 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_280m 0: local_rank ...................................... None 0: log_batch_size_to_tensorboard ................... True 0: log_interval .................................... 10 0: log_learning_rate_to_tensorboard ................ True 0: log_level ....................................... None 0: log_level_replica ............................... None 0: log_loss_scale_to_tensorboard ................... True 0: log_num_zeros_in_grad ........................... False 0: log_params_norm ................................. False 0: log_path ........................................ None 0: log_timers_to_tensorboard ....................... True 0: log_validation_ppl_to_tensorboard ............... True 0: loss_on_targets_only ............................ False 0: loss_scale ...................................... 12.0 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 2884878 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 28849 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 ............................. 16 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 18 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_280m 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_280m 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 ................................... 2884878 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: [2022-11-24 20:54:02,993] [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: 0.084 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.o scaled_upper_triang_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: 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: ninja: no work to do. 0: >>> done with compiling and loading fused kernels. Compilation time: 74.782 seconds 0: time to initialize megatron (seconds): 26.946 0: [after megatron is initialized] datetime: 2022-11-24 20:55:23 0: building GPT model ... 0: [2022-11-24 20:55:23,132] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-24 20:55:23,132] [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: [2022-11-24 20:55:23,132] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 28.54 GB, percent = 5.7% 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: [2022-11-24 20:55:25,293] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=25 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: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: undo 0: 22: MixedFusedLayerNorm 0: 23: EmbeddingPipe 0: 24: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-24 20:55:26,271] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-24 20:55:26,272] [INFO] [utils.py:828:see_memory_usage] MA 0.53 GB Max_MA 0.53 GB CA 0.57 GB Max_CA 1 GB 0: [2022-11-24 20:55:26,272] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 28.55 GB, percent = 5.7% 0: setting training iterations to 11269 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-24 20:55:26,274] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-24 20:56:29,801] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-24 20:56:29,802] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-24 20:56:29,802] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-24 20:56:29,807] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-24 20:56:29,807] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-24 20:56:30,118] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-24 20:56:30,119] [INFO] [utils.py:828:see_memory_usage] MA 0.52 GB Max_MA 0.53 GB CA 0.57 GB Max_CA 1 GB 0: [2022-11-24 20:56:30,119] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.24 GB, percent = 5.8% 0: ninja: no work to do. 0: Time to load utils op: 0.5438666343688965 seconds 0: Time to load utils op: 0.585451602935791 seconds 6: Time to load utils op: 0.23074960708618164 seconds 0: Time to 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load utils op: 0.38854146003723145 seconds 7: Time to load utils op: 0.22233867645263672 seconds 7: Time to load utils op: 0.21567821502685547 seconds 7: Time to load utils op: 0.19551444053649902 seconds 7: Time to load utils op: 0.20921564102172852 seconds 0: [2022-11-24 20:56:30,616] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-24 20:56:30,617] [INFO] [utils.py:828:see_memory_usage] MA 0.52 GB Max_MA 0.52 GB CA 0.57 GB Max_CA 1 GB 0: [2022-11-24 20:56:30,617] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.24 GB, percent = 5.8% 0: [2022-11-24 20:56:31,413] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2022-11-24 20:56:31,414] [INFO] [utils.py:828:see_memory_usage] MA 1.14 GB Max_MA 1.14 GB CA 1.48 GB Max_CA 1 GB 0: [2022-11-24 20:56:31,414] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.25 GB, percent = 5.8% 0: [2022-11-24 20:56:31,447] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-24 20:56:31,447] [INFO] [utils.py:828:see_memory_usage] MA 1.14 GB Max_MA 1.14 GB CA 1.48 GB Max_CA 1 GB 0: [2022-11-24 20:56:31,447] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.25 GB, percent = 5.8% 3: Time to load utils op: 0.005057573318481445 seconds 7: Time to load utils op: 0.0029325485229492188 seconds 4: Time to load utils op: 0.005171537399291992 seconds 1: Time to load utils op: 0.005166769027709961 seconds 6: Time to load utils op: 0.005105495452880859 seconds 3: Time to load utils op: 0.004785776138305664 seconds 7: Time to load utils op: 0.004862546920776367 seconds 4: Time to load utils op: 0.004793643951416016 seconds 2: Time to load utils op: 0.0044002532958984375 seconds 1: Time to load utils op: 0.004953622817993164 seconds 6: Time to load utils op: 0.0048825740814208984 seconds 7: Time to load utils op: 0.006796598434448242 seconds 3: Time to load utils op: 0.004756450653076172 seconds 2: Time to load utils 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0.008999109268188477 seconds 7: Time to load utils op: 0.003428220748901367 seconds 3: Time to load utils op: 0.0042209625244140625 seconds 4: Time to load utils op: 0.0003483295440673828 seconds 1: Time to load utils op: 0.0022401809692382812 seconds 6: Time to load utils op: 0.0003552436828613281 seconds 2: Time to load utils op: 0.00033974647521972656 seconds 7: Time to load utils op: 0.0021524429321289062 seconds 5: Time to load utils op: 0.0003693103790283203 seconds 0: Time to load utils op: 0.014821290969848633 seconds 2: Time to load utils op: 0.0034379959106445312 seconds 0: Time to load utils op: 0.010013580322265625 seconds 5: Time to load utils op: 0.009369134902954102 seconds 0: Time to load utils op: 0.009284496307373047 seconds 0: [2022-11-24 20:56:31,503] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-24 20:56:31,504] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-24 20:56:31,504] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.25 GB, percent = 5.8% 0: [2022-11-24 20:56:32,167] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-24 20:56:32,167] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-24 20:56:32,168] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.39 GB, percent = 5.8% 0: [2022-11-24 20:56:32,795] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-24 20:56:32,796] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-24 20:56:32,796] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.39 GB, percent = 5.8% 0: [2022-11-24 20:56:33,196] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-24 20:56:33,196] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-24 20:56:33,197] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.39 GB, percent = 5.8% 0: [2022-11-24 20:56:33,855] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-24 20:56:33,856] [INFO] [utils.py:828:see_memory_usage] MA 1.62 GB Max_MA 1.62 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-24 20:56:33,856] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.39 GB, percent = 5.8% 0: [2022-11-24 20:56:34,340] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-24 20:56:34,341] [INFO] [utils.py:828:see_memory_usage] MA 1.62 GB Max_MA 1.62 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-24 20:56:34,341] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.39 GB, percent = 5.8% 0: [2022-11-24 20:56:34,341] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-24 20:56:34,341] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-24 20:56:34,481] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-24 20:56:34,481] [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: [2022-11-24 20:56:34,482] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-24 20:56:34,482] [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: [2022-11-24 20:56:34,482] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-24 20:56:34,482] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-24 20:56:34,482] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-24 20:56:34,482] [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: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-24 20:56:34,483] [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: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-24 20:56:34,483] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-24 20:56:34,484] [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: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-24 20:56:34,484] [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: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-24 20:56:34,484] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-24 20:56:34,485] [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: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-24 20:56:34,485] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-24 20:56:34,485] [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: 0.0004839897155761719 seconds 0: [2022-11-24 20:56:34,486] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-24 20:56:34,806] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=25 [0, 25) STAGE_PARAMS=280342528 (280.343M) TOTAL_PARAMS=280342528 (280.343M) UNIQUE_PARAMS=280342528 (280.343M) 0: [2022-11-24 20:56:34,826] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/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_280m 0: will not load any checkpoints and will start from random 4: [2022-11-24 20:56:34,826] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,829] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,828] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,828] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,827] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,828] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,828] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,840] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,840] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,840] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 20:56:34,841] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,841] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 20:56:34,850] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,849] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,852] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 20:56:34,848] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,843] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,842] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,860] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,853] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 20:56:34,857] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,855] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,854] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,853] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 20:56:34,861] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,864] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,865] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,865] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,866] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,866] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 20:56:34,870] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,870] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 20:56:34,873] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,876] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,878] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,878] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 20:56:34,882] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,882] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,884] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 20:56:34,885] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,888] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,888] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 20:56:34,890] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,891] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,891] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,893] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 20:56:34,893] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 20:56:34,898] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,898] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,902] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,903] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,907] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 20:56:34,909] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,910] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 20:56:34,911] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 20:56:34,913] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 20:56:34,915] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,921] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 20:56:34,923] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 20:56:34,924] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 20:56:34,931] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 20:56:34,936] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280m/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: 24.07 0: estimated model parameters: 0.280342528 0: estimated model parameters without embeddings: 0.22673408 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-24 20:56:36 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 2884878 0: validation: 3072 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 0.009306 seconds 0: number of documents: 210604984 0: > dataset split: 0: train: 0: document indices in [0, 199864130) total of 199864130 documents 0: validation: 0: document indices in [199864130, 210394379) total of 10530249 documents 0: test: 0: document indices in [210394379, 210604984) total of 210605 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_2884878ns_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_2884878ns_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_2884878ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.130 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_3072ns_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_3072ns_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_3072ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.072 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 0.070 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 7: time (ms) | model-and-optimizer-setup: 73302.34 | train/valid/test-data-iterators-setup: 89557.31 0: [after dataloaders are built] datetime: 2022-11-24 20:58:06 0: done with setup ... 0: training ... 0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: 0: [000-000] 0.2803B / 0.2267B 0: [before the start of training step] datetime: 2022-11-24 20:58:06 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 3765.8056640625 | max allocated: 34106.49267578125 | reserved: 35064.0 | max reserved: 35064.0 7: iteration 10/ 11269 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 8.57 | learning rate: 1.775E-05 | global batch size: 256 | lm loss: 1.000858E+01 | grad norm: 4.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 29.880 | TFLOPs: 1.95 | 7: iteration 20/ 11269 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 2.24 | learning rate: 3.550E-05 | global batch size: 256 | lm loss: 8.828316E+00 | grad norm: 4.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.388 | TFLOPs: 7.48 | 7: iteration 30/ 11269 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 2.21 | learning rate: 5.324E-05 | global batch size: 256 | lm loss: 8.428944E+00 | grad norm: 2.599 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.032 | TFLOPs: 7.59 | 7: iteration 40/ 11269 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 2.19 | learning rate: 7.099E-05 | global batch size: 256 | lm loss: 7.833710E+00 | grad norm: 1.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.820 | TFLOPs: 7.64 | 7: iteration 50/ 11269 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 2.20 | learning rate: 8.874E-05 | global batch size: 256 | lm loss: 7.279370E+00 | grad norm: 1.849 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.133 | TFLOPs: 7.60 | 7: iteration 60/ 11269 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 2.20 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 6.949174E+00 | grad norm: 1.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.342 | TFLOPs: 7.61 | 7: iteration 70/ 11269 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 2.24 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 6.690184E+00 | grad norm: 1.980 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.280 | TFLOPs: 7.47 | 7: iteration 80/ 11269 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 2.16 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 6.488471E+00 | grad norm: 1.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 118.326 | TFLOPs: 7.74 | 7: iteration 90/ 11269 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 2.25 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 6.354682E+00 | grad norm: 1.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.859 | TFLOPs: 7.45 | 7: iteration 100/ 11269 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 2.24 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 6.188760E+00 | grad norm: 1.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.300 | TFLOPs: 7.48 | 7: iteration 110/ 11269 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 2.24 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 6.051421E+00 | grad norm: 1.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.235 | TFLOPs: 7.47 | 7: iteration 120/ 11269 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 2.20 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.919111E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.561 | TFLOPs: 7.62 | 7: iteration 130/ 11269 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 2.22 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.794323E+00 | grad norm: 0.816 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.084 | TFLOPs: 7.53 | 7: iteration 140/ 11269 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 2.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.708687E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.594 | TFLOPs: 7.49 | 7: iteration 150/ 11269 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 2.20 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.669838E+00 | grad norm: 0.791 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.537 | TFLOPs: 7.62 | 7: iteration 160/ 11269 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 2.20 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.544213E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.603 | TFLOPs: 7.63 | 7: iteration 170/ 11269 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 2.27 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.526630E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.937 | TFLOPs: 7.39 | 7: iteration 180/ 11269 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 2.19 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.431839E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.683 | TFLOPs: 7.63 | 7: iteration 190/ 11269 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 2.17 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.405466E+00 | grad norm: 0.875 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 117.910 | TFLOPs: 7.71 | 7: iteration 200/ 11269 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 2.20 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.361482E+00 | grad norm: 0.750 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.106 | TFLOPs: 7.59 | 7: iteration 210/ 11269 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 2.23 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.334781E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.673 | TFLOPs: 7.50 | 7: iteration 220/ 11269 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 2.22 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.273336E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.465 | TFLOPs: 7.55 | 7: iteration 230/ 11269 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 2.21 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.259962E+00 | grad norm: 0.792 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.944 | TFLOPs: 7.58 | 7: iteration 240/ 11269 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 2.22 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.241607E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.449 | TFLOPs: 7.55 | 7: iteration 250/ 11269 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 2.27 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.194963E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.670 | TFLOPs: 7.37 | 7: iteration 260/ 11269 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 2.26 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.183554E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.385 | TFLOPs: 7.42 | 7: iteration 270/ 11269 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 2.21 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.102424E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.806 | TFLOPs: 7.57 | 7: iteration 280/ 11269 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 2.22 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.101668E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.061 | TFLOPs: 7.52 | 7: iteration 290/ 11269 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 2.21 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.040331E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.663 | TFLOPs: 7.56 | 7: iteration 300/ 11269 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 2.19 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.983615E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.800 | TFLOPs: 7.64 | 7: iteration 310/ 11269 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 2.20 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.007932E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.175 | TFLOPs: 7.60 | 7: iteration 320/ 11269 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 2.23 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.981754E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.756 | TFLOPs: 7.50 | 7: iteration 330/ 11269 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 2.20 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.936943E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.120 | TFLOPs: 7.59 | 7: iteration 340/ 11269 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 2.20 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.912647E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.151 | TFLOPs: 7.60 | 7: iteration 350/ 11269 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 2.22 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.866285E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.466 | TFLOPs: 7.55 | 7: iteration 360/ 11269 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 2.30 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.822205E+00 | grad norm: 0.878 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.494 | TFLOPs: 7.29 | 7: iteration 370/ 11269 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 2.66 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.775766E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 96.342 | TFLOPs: 6.30 | 7: iteration 380/ 11269 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 2.71 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.762910E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.467 | TFLOPs: 6.18 | 7: iteration 390/ 11269 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 2.69 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.724461E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 95.093 | TFLOPs: 6.22 | 7: iteration 400/ 11269 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 2.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.733028E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.787 | TFLOPs: 7.51 | 7: iteration 410/ 11269 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 2.23 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.686871E+00 | grad norm: 0.827 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.764 | TFLOPs: 7.51 | 7: iteration 420/ 11269 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 2.25 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.717857E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.827 | TFLOPs: 7.44 | 7: iteration 430/ 11269 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 2.30 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.644739E+00 | grad norm: 0.728 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.158 | TFLOPs: 7.27 | 7: iteration 440/ 11269 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 2.28 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.594714E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.216 | TFLOPs: 7.34 | 7: iteration 450/ 11269 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 2.24 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.567679E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.284 | TFLOPs: 7.47 | 7: iteration 460/ 11269 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 2.30 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.556012E+00 | grad norm: 1.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.315 | TFLOPs: 7.28 | 7: iteration 470/ 11269 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 2.27 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.550178E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.679 | TFLOPs: 7.37 | 7: iteration 480/ 11269 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 2.21 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.521556E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.610 | TFLOPs: 7.56 | 7: iteration 490/ 11269 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 2.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.445313E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.043 | TFLOPs: 7.26 | 7: iteration 500/ 11269 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 2.25 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.433036E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.635 | TFLOPs: 7.43 | 7: iteration 510/ 11269 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 2.21 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.414820E+00 | grad norm: 0.872 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.712 | TFLOPs: 7.57 | 7: iteration 520/ 11269 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 2.27 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.393660E+00 | grad norm: 0.862 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.685 | TFLOPs: 7.37 | 7: iteration 530/ 11269 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 2.27 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.319071E+00 | grad norm: 0.854 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.928 | TFLOPs: 7.39 | 7: iteration 540/ 11269 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time 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153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 2.27 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.092709E+00 | grad norm: 0.960 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.761 | TFLOPs: 7.37 | 7: iteration 610/ 11269 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 2.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.068272E+00 | grad norm: 0.944 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.935 | TFLOPs: 7.26 | 7: iteration 620/ 11269 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 2.23 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.998896E+00 | grad norm: 1.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.732 | TFLOPs: 7.50 | 7: iteration 630/ 11269 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 2.28 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.039422E+00 | grad norm: 0.787 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.527 | TFLOPs: 7.36 | 7: iteration 640/ 11269 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 2.28 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.922608E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.331 | TFLOPs: 7.35 | 7: iteration 650/ 11269 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 2.27 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.923934E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.820 | TFLOPs: 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iterations: 0 | samples per second: 112.493 | TFLOPs: 7.36 | 7: iteration 720/ 11269 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 2.26 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.749752E+00 | grad norm: 0.758 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.194 | TFLOPs: 7.40 | 7: iteration 730/ 11269 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 2.28 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.718624E+00 | grad norm: 0.773 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.491 | TFLOPs: 7.36 | 7: iteration 740/ 11269 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 2.29 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.680907E+00 | grad norm: 0.816 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.679 | TFLOPs: 7.30 | 7: iteration 750/ 11269 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 2.21 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.643363E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.721 | TFLOPs: 7.57 | 7: iteration 760/ 11269 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 2.24 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.674418E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.319 | TFLOPs: 7.48 | 7: iteration 770/ 11269 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 2.27 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.669004E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.669 | TFLOPs: 7.37 | 7: iteration 780/ 11269 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 2.23 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.594936E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.563 | TFLOPs: 7.49 | 7: iteration 790/ 11269 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 2.30 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.588658E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.298 | TFLOPs: 7.28 | 7: iteration 800/ 11269 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 2.33 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.558947E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.007 | TFLOPs: 7.19 | 7: iteration 810/ 11269 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 2.29 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.535791E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.994 | TFLOPs: 7.32 | 7: iteration 820/ 11269 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 2.25 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.552819E+00 | grad norm: 0.690 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.778 | TFLOPs: 7.44 | 7: iteration 830/ 11269 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 2.27 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.571563E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.684 | TFLOPs: 7.37 | 7: iteration 840/ 11269 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 2.25 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.500445E+00 | grad norm: 0.781 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.821 | TFLOPs: 7.44 | 7: iteration 850/ 11269 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 2.24 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.504871E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.090 | TFLOPs: 7.46 | 7: iteration 860/ 11269 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 2.28 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.490872E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.493 | TFLOPs: 7.36 | 7: iteration 870/ 11269 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 2.21 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.510323E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.658 | TFLOPs: 7.56 | 7: iteration 880/ 11269 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 2.27 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.517427E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.836 | TFLOPs: 7.38 | 7: iteration 890/ 11269 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration 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elapsed time per iteration (s): 2.24 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.476611E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.496 | TFLOPs: 7.49 | 7: iteration 930/ 11269 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 2.25 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.441330E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.662 | TFLOPs: 7.43 | 7: iteration 940/ 11269 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 2.24 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.416757E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.265 | TFLOPs: 7.47 | 7: iteration 950/ 11269 | consumed samples: 243200 | 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consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 2.26 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.354685E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.234 | TFLOPs: 7.41 | 7: iteration 990/ 11269 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 2.21 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.372648E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.618 | TFLOPs: 7.56 | 7: iteration 1000/ 11269 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 2.25 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.358284E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.798 | TFLOPs: 7.44 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 3.316469E+00 | lm loss PPL: 2.756286E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_280m 0: [2022-11-24 21:36:47,426] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-24 21:36:47,717] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-24 21:36:48,914] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step1000/layer_01-model_00-model_states.pt. 0: [2022-11-24 21:36:48,914] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step1000/layer_03-model_00-model_states.pt... 0: [2022-11-24 21:36:49,178] [INFO] 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[2022-11-24 21:37:03,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step1000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-24 21:37:03,264] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 7: [2022-11-24 21:37:03,272] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step1000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-24 21:37:03,272] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step1000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-24 21:37:03,272] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-24 21:37:03,276] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step1000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-24 21:37:03,276] [INFO] 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checkpoints_280m/global_step1000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-24 21:37:03,888] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_280m 7: time (ms) | save-checkpoint: 17108.73 7: iteration 1010/ 11269 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 4.03 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.395315E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 63.501 | TFLOPs: 4.15 | 7: iteration 1020/ 11269 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 2.25 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.358326E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.765 | TFLOPs: 7.44 | 7: iteration 1030/ 11269 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 2.24 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.350755E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.281 | TFLOPs: 7.47 | 7: iteration 1040/ 11269 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 2.25 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.391322E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.597 | TFLOPs: 7.43 | 7: iteration 1050/ 11269 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 2.27 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.379193E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.687 | TFLOPs: 7.37 | 7: iteration 1060/ 11269 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 2.28 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.330688E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.452 | TFLOPs: 7.35 | 7: iteration 1070/ 11269 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 2.28 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.329499E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.278 | TFLOPs: 7.34 | 7: iteration 1080/ 11269 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 2.27 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.272053E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.963 | TFLOPs: 7.39 | 7: iteration 1090/ 11269 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 2.28 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.296911E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.370 | TFLOPs: 7.35 | 7: iteration 1100/ 11269 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 2.26 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.327726E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.223 | TFLOPs: 7.40 | 7: iteration 1110/ 11269 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 2.24 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.284775E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.428 | TFLOPs: 7.48 | 7: iteration 1120/ 11269 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 2.25 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.313506E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.706 | TFLOPs: 7.44 | 7: iteration 1130/ 11269 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 2.37 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.319589E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.871 | TFLOPs: 7.05 | 7: iteration 1140/ 11269 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 2.36 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.275800E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.606 | TFLOPs: 7.10 | 7: iteration 1150/ 11269 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 2.40 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.305934E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.722 | TFLOPs: 6.98 | 7: iteration 1160/ 11269 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 2.51 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.285415E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 101.990 | TFLOPs: 6.67 | 7: iteration 1170/ 11269 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 2.49 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.288506E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 102.630 | TFLOPs: 6.71 | 7: iteration 1180/ 11269 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 2.45 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.301568E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.394 | TFLOPs: 6.83 | 7: iteration 1190/ 11269 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 2.41 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.302706E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.213 | TFLOPs: 6.95 | 7: iteration 1200/ 11269 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 2.33 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.268923E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.073 | TFLOPs: 7.20 | 7: iteration 1210/ 11269 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 2.29 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.258099E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.986 | TFLOPs: 7.32 | 7: iteration 1220/ 11269 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 2.30 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.198678E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.276 | TFLOPs: 7.28 | 7: iteration 1230/ 11269 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 2.23 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| 7: iteration 1350/ 11269 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 2.27 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.178297E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.935 | TFLOPs: 7.39 | 7: iteration 1360/ 11269 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 2.28 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.136261E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.220 | TFLOPs: 7.34 | 7: iteration 1370/ 11269 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 2.29 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 3.172554E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.828 | TFLOPs: 7.31 | 7: iteration 1380/ 11269 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 2.22 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 3.165317E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.283 | TFLOPs: 7.54 | 7: iteration 1390/ 11269 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 2.27 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.162641E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.623 | TFLOPs: 7.37 | 7: iteration 1400/ 11269 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 2.23 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.204269E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.596 | TFLOPs: 7.49 | 7: iteration 1410/ 11269 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 2.24 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 3.164634E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.532 | TFLOPs: 7.49 | 7: iteration 1420/ 11269 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 2.27 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.117211E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.562 | TFLOPs: 7.36 | 7: iteration 1430/ 11269 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 2.24 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.120267E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.480 | TFLOPs: 7.49 | 7: iteration 1440/ 11269 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 2.24 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.150729E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.345 | TFLOPs: 7.48 | 7: iteration 1450/ 11269 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 2.24 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 3.139721E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.469 | TFLOPs: 7.49 | 7: iteration 1460/ 11269 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 2.24 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 3.151249E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.198 | TFLOPs: 7.47 | 7: iteration 1470/ 11269 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 2.29 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 3.119835E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.820 | TFLOPs: 7.31 | 7: iteration 1480/ 11269 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 2.25 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.141802E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.010 | TFLOPs: 7.46 | 7: iteration 1490/ 11269 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 2.27 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.155764E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.749 | TFLOPs: 7.37 | 7: iteration 1500/ 11269 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 2.28 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 3.125018E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.241 | TFLOPs: 7.34 | 7: iteration 1510/ 11269 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 2.26 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.129917E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.151 | TFLOPs: 7.40 | 7: iteration 1520/ 11269 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 2.25 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 3.126500E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.720 | TFLOPs: 7.44 | 7: iteration 1530/ 11269 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 2.25 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.116329E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.964 | TFLOPs: 7.45 | 7: iteration 1540/ 11269 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 2.29 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.132042E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.971 | TFLOPs: 7.32 | 7: iteration 1550/ 11269 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 2.33 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 3.104047E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.754 | TFLOPs: 7.18 | 7: iteration 1560/ 11269 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 2.26 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.084221E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.283 | TFLOPs: 7.41 | 7: iteration 1570/ 11269 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 2.21 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.074529E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.592 | TFLOPs: 7.56 | 7: iteration 1580/ 11269 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 2.38 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.100743E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.707 | TFLOPs: 7.04 | 7: iteration 1590/ 11269 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 2.39 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.105932E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.930 | TFLOPs: 6.99 | 7: iteration 1600/ 11269 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 2.22 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.076939E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.546 | TFLOPs: 7.56 | 7: iteration 1610/ 11269 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 2.28 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 3.061101E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.372 | TFLOPs: 7.35 | 7: iteration 1620/ 11269 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 2.39 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.060013E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.297 | TFLOPs: 7.02 | 7: iteration 1630/ 11269 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 2.25 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 3.076993E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.751 | TFLOPs: 7.44 | 7: iteration 1640/ 11269 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 2.26 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.050241E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.435 | TFLOPs: 7.42 | 7: iteration 1650/ 11269 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 2.26 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.113334E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.336 | TFLOPs: 7.41 | 7: iteration 1660/ 11269 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 2.26 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.037200E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.092 | TFLOPs: 7.40 | 7: iteration 1670/ 11269 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 2.26 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.074982E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.211 | TFLOPs: 7.40 | 7: iteration 1680/ 11269 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 2.25 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.046771E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.655 | TFLOPs: 7.43 | 7: iteration 1690/ 11269 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 2.25 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.095194E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.646 | TFLOPs: 7.43 | 7: iteration 1700/ 11269 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 2.23 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.087626E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.889 | TFLOPs: 7.51 | 7: iteration 1710/ 11269 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 2.25 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.054331E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.867 | TFLOPs: 7.45 | 7: iteration 1720/ 11269 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 2.29 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.049987E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.663 | TFLOPs: 7.30 | 7: iteration 1730/ 11269 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 2.23 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.038881E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.806 | TFLOPs: 7.51 | 7: iteration 1740/ 11269 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 2.26 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.076989E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.304 | TFLOPs: 7.41 | 7: iteration 1750/ 11269 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 2.24 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.050253E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.046 | TFLOPs: 7.46 | 7: iteration 1760/ 11269 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 2.27 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.061271E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.763 | TFLOPs: 7.37 | 7: iteration 1770/ 11269 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 2.28 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.024332E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.394 | TFLOPs: 7.35 | 7: iteration 1780/ 11269 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 2.30 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.013781E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.076 | TFLOPs: 7.26 | 7: iteration 1790/ 11269 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 2.27 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 3.070899E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.786 | TFLOPs: 7.38 | 7: iteration 1800/ 11269 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 2.26 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.013573E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.130 | TFLOPs: 7.40 | 7: iteration 1810/ 11269 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 2.25 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.041959E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.545 | TFLOPs: 7.43 | 7: iteration 1820/ 11269 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 2.22 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.023238E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.206 | TFLOPs: 7.53 | 7: iteration 1830/ 11269 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 2.30 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.010991E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.422 | TFLOPs: 7.29 | 7: iteration 1840/ 11269 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 2.25 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.012796E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.931 | TFLOPs: 7.45 | 7: iteration 1850/ 11269 | consumed samples: 473600 | consumed tokens: 969932800 | elapsed time per iteration (s): 2.25 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.022678E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.641 | TFLOPs: 7.43 | 7: iteration 1860/ 11269 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 2.29 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.983999E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.873 | TFLOPs: 7.32 | 7: iteration 1870/ 11269 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 2.29 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 2.991886E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.774 | TFLOPs: 7.31 | 7: iteration 1880/ 11269 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 2.25 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 2.973106E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.929 | TFLOPs: 7.45 | 7: iteration 1890/ 11269 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 2.26 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 3.022896E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.255 | TFLOPs: 7.41 | 7: iteration 1900/ 11269 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 2.26 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.960100E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.398 | TFLOPs: 7.42 | 7: iteration 1910/ 11269 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 2.22 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.015336E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.451 | TFLOPs: 7.55 | 7: iteration 1920/ 11269 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 2.25 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 2.978483E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.601 | TFLOPs: 7.43 | 7: iteration 1930/ 11269 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 2.22 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.991790E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.116 | TFLOPs: 7.53 | 7: iteration 1940/ 11269 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 2.25 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.982102E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.593 | TFLOPs: 7.43 | 7: iteration 1950/ 11269 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 2.32 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.961746E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.128 | TFLOPs: 7.20 | 7: iteration 1960/ 11269 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 2.36 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 3.018357E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.574 | TFLOPs: 7.10 | 7: iteration 1970/ 11269 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 2.41 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.019187E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.147 | TFLOPs: 6.94 | 7: iteration 1980/ 11269 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 2.32 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.988740E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.280 | TFLOPs: 7.21 | 7: iteration 1990/ 11269 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 2.46 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.015192E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.201 | TFLOPs: 6.81 | 0: [2022-11-24 22:15:05,993] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00018758615112345138, 0.00018758615112345138, 0.00018758615112345138], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 11269 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 2.41 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.005599E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.408 | TFLOPs: 6.96 | 0: steps: 2000 loss: 3.0865 iter time (s): 2.277 samples/sec: 112.428 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 2.882891E+00 | lm loss PPL: 1.786586E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_280m 0: [2022-11-24 22:15:07,656] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-24 22:15:08,017] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-24 22:15:09,356] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step2000/layer_01-model_00-model_states.pt. 0: [2022-11-24 22:15:09,356] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step2000/layer_03-model_00-model_states.pt... 0: [2022-11-24 22:15:09,549] [INFO] 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[2022-11-24 22:15:23,739] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-24 22:15:23,739] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-24 22:15:23,740] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-24 22:15:23,740] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-24 22:15:23,740] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-24 22:15:23,744] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-24 22:15:23,744] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-24 22:15:23,744] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-24 22:15:23,745] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-24 22:15:23,745] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-24 22:15:23,745] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-24 22:15:23,757] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-24 22:15:23,757] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-24 22:15:23,757] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-24 22:15:23,771] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-24 22:15:23,771] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-24 22:15:23,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_280m 7: time (ms) | save-checkpoint: 16885.29 7: iteration 2010/ 11269 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 4.18 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 3.017628E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 61.190 | TFLOPs: 4.00 | 7: iteration 2020/ 11269 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 2.60 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 3.029161E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 98.568 | TFLOPs: 6.45 | 7: iteration 2030/ 11269 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 2.41 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.949592E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.032 | TFLOPs: 6.93 | 7: iteration 2040/ 11269 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 2.37 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.974575E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.012 | TFLOPs: 7.06 | 7: iteration 2050/ 11269 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 2.34 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 3.001214E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.183 | TFLOPs: 7.14 | 7: iteration 2060/ 11269 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 2.33 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.974041E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.864 | TFLOPs: 7.19 | 7: iteration 2070/ 11269 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 2.35 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.953118E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.955 | TFLOPs: 7.13 | 7: iteration 2080/ 11269 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 2.31 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.973875E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.715 | TFLOPs: 7.24 | 7: iteration 2090/ 11269 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 2.29 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 2.965342E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.030 | TFLOPs: 7.33 | 7: iteration 2100/ 11269 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 2.26 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 2.955746E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.077 | TFLOPs: 7.40 | 7: iteration 2110/ 11269 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 2.26 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 2.941735E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.524 | TFLOPs: 7.42 | 7: iteration 2120/ 11269 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 2.25 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 2.957833E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.804 | TFLOPs: 7.44 | 7: iteration 2130/ 11269 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 2.28 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 2.957174E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.464 | TFLOPs: 7.36 | 7: iteration 2140/ 11269 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 2.22 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 2.953184E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.281 | TFLOPs: 7.54 | 7: iteration 2150/ 11269 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 2.27 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 2.941121E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.850 | TFLOPs: 7.38 | 7: iteration 2160/ 11269 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 2.22 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 2.946496E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.336 | TFLOPs: 7.54 | 7: iteration 2170/ 11269 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 2.26 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 2.963658E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.043 | TFLOPs: 7.39 | 7: iteration 2180/ 11269 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 2.26 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 2.969874E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.210 | TFLOPs: 7.40 | 7: iteration 2190/ 11269 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 2.22 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 2.943981E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.063 | TFLOPs: 7.53 | 7: iteration 2200/ 11269 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 2.28 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.967554E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.178 | TFLOPs: 7.34 | 7: iteration 2210/ 11269 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 2.28 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.919164E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.254 | TFLOPs: 7.34 | 7: iteration 2220/ 11269 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 2.25 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.989383E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.784 | TFLOPs: 7.44 | 7: iteration 2230/ 11269 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 2.27 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.942124E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.700 | TFLOPs: 7.37 | 7: iteration 2240/ 11269 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 2.24 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.967858E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.338 | TFLOPs: 7.48 | 7: iteration 2250/ 11269 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 2.27 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 2.928161E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.597 | TFLOPs: 7.36 | 7: iteration 2260/ 11269 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 2.29 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.894292E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.851 | TFLOPs: 7.32 | 7: iteration 2270/ 11269 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 2.22 | learning rate: 1.839E-04 | global batch size: 256 | lm loss: 2.897449E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.497 | TFLOPs: 7.55 | 7: iteration 2280/ 11269 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 2.27 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.921067E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.858 | TFLOPs: 7.38 | 7: iteration 2290/ 11269 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 2.24 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.954175E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.189 | TFLOPs: 7.47 | 7: iteration 2300/ 11269 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 2.27 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.927967E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.623 | TFLOPs: 7.37 | 7: iteration 2310/ 11269 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 2.26 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.950872E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.284 | TFLOPs: 7.41 | 7: iteration 2320/ 11269 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 2.28 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 2.943582E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.346 | TFLOPs: 7.35 | 7: iteration 2330/ 11269 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 2.23 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 2.871855E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.968 | TFLOPs: 7.52 | 7: iteration 2340/ 11269 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 2.28 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.886100E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.122 | TFLOPs: 7.33 | 7: iteration 2350/ 11269 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 2.27 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 2.913424E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.021 | TFLOPs: 7.39 | 7: iteration 2360/ 11269 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 2.27 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.932278E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.985 | TFLOPs: 7.39 | 7: iteration 2370/ 11269 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 2.24 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.940805E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.106 | TFLOPs: 7.46 | 7: iteration 2380/ 11269 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 2.27 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 2.919497E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.878 | TFLOPs: 7.38 | 7: iteration 2390/ 11269 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 2.25 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 2.906829E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.791 | TFLOPs: 7.44 | 7: iteration 2400/ 11269 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 2.25 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.953011E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.684 | TFLOPs: 7.43 | 7: iteration 2410/ 11269 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 2.29 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 2.917826E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.721 | TFLOPs: 7.31 | 7: iteration 2420/ 11269 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 2.28 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.907597E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.475 | TFLOPs: 7.36 | 7: iteration 2430/ 11269 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 2.23 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 2.913387E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.053 | TFLOPs: 7.52 | 7: iteration 2440/ 11269 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 2.27 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.884485E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.762 | TFLOPs: 7.37 | 7: iteration 2450/ 11269 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 2.21 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 2.908148E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.012 | TFLOPs: 7.59 | 7: iteration 2460/ 11269 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 2.27 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 2.932447E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.906 | TFLOPs: 7.38 | 7: iteration 2470/ 11269 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 2.30 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 2.902537E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.189 | TFLOPs: 7.27 | 7: iteration 2480/ 11269 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 2.25 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 2.880254E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.652 | TFLOPs: 7.43 | 7: iteration 2490/ 11269 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 2.23 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 2.878850E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.008 | TFLOPs: 7.52 | 7: iteration 2500/ 11269 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 2.27 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 2.938403E+00 | grad norm: 1.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.845 | TFLOPs: 7.38 | 7: iteration 2510/ 11269 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 2.23 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.022796E+00 | grad norm: 1.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.554 | TFLOPs: 7.49 | 7: iteration 2520/ 11269 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 2.25 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.001163E+00 | grad norm: 0.761 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.920 | TFLOPs: 7.45 | 7: iteration 2530/ 11269 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 2.25 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 2.956611E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.579 | TFLOPs: 7.43 | 7: iteration 2540/ 11269 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 2.28 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 2.908864E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.489 | TFLOPs: 7.36 | 7: iteration 2550/ 11269 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 2.22 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 2.871479E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.288 | TFLOPs: 7.54 | 7: iteration 2560/ 11269 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 2.26 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 2.877719E+00 | grad norm: 0.302 | num zeros: 0.0 | 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| lm loss: 2.904398E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.713 | TFLOPs: 7.44 | 7: iteration 2630/ 11269 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 2.28 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 2.876987E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.440 | TFLOPs: 7.35 | 7: iteration 2640/ 11269 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 2.22 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 2.923606E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.544 | TFLOPs: 7.56 | 7: iteration 2650/ 11269 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 2.29 | learning rate: 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| number of nan iterations: 0 | samples per second: 109.272 | TFLOPs: 7.15 | 7: iteration 2830/ 11269 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 2.25 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 2.879491E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.644 | TFLOPs: 7.43 | 7: iteration 2840/ 11269 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 2.43 | learning rate: 1.747E-04 | global batch size: 256 | lm loss: 2.837597E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.330 | TFLOPs: 6.89 | 7: iteration 2850/ 11269 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 2.31 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 2.857327E+00 | grad norm: 0.302 | num zeros: 0.0 | 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norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.572 | TFLOPs: 6.77 | 7: iteration 2890/ 11269 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 2.40 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 2.831723E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.809 | TFLOPs: 6.99 | 7: iteration 2900/ 11269 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 2.44 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 2.835708E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.727 | TFLOPs: 6.85 | 7: iteration 2910/ 11269 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 2.40 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 2.841780E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.844 | TFLOPs: 6.99 | 7: iteration 2920/ 11269 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 2.31 | learning rate: 1.733E-04 | global batch size: 256 | lm loss: 2.804054E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.050 | TFLOPs: 7.26 | 7: iteration 2930/ 11269 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 2.39 | learning rate: 1.731E-04 | global batch size: 256 | lm loss: 2.800583E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.123 | TFLOPs: 7.01 | 7: iteration 2940/ 11269 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 2.27 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 2.809461E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.592 | TFLOPs: 7.36 | 7: iteration 2950/ 11269 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 2.31 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 2.803459E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.801 | TFLOPs: 7.25 | 7: iteration 2960/ 11269 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 2.23 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 2.856405E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.041 | TFLOPs: 7.52 | 7: iteration 2970/ 11269 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 2.26 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 2.865637E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.134 | TFLOPs: 7.40 | 7: iteration 2980/ 11269 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 2.28 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 2.839405E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.057 | TFLOPs: 7.33 | 7: iteration 2990/ 11269 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 2.26 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 2.828852E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.347 | TFLOPs: 7.41 | 7: iteration 3000/ 11269 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 2.24 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 2.830964E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.368 | TFLOPs: 7.48 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 2.772258E+00 | lm loss PPL: 1.599471E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_280m 0: [2022-11-24 22:53:29,714] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-24 22:53:30,038] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-24 22:53:31,281] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[2022-11-24 22:53:46,836] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-24 22:53:46,859] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-24 22:53:46,859] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-24 22:53:46,860] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2022-11-24 22:53:46,872] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-24 22:53:46,872] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-24 22:53:46,872] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 2: [2022-11-24 22:53:47,021] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-24 22:53:47,016] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-24 22:53:47,027] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-24 22:53:47,027] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-24 22:53:47,027] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-24 22:53:47,028] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-24 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checkpoints_280m/global_step3000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-24 22:53:47,051] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-24 22:53:47,052] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-24 22:53:47,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-24 22:53:47,052] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-24 22:53:47,059] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-24 22:53:47,059] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-24 22:53:47,059] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-24 22:53:47,061] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-24 22:53:47,062] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-24 22:53:47,062] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-24 22:53:47,062] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-24 22:53:47,062] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-24 22:53:47,062] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-24 22:53:47,064] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-24 22:53:47,065] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-24 22:53:47,065] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-24 22:53:47,065] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-24 22:53:47,065] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-24 22:53:47,065] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-24 22:53:47,069] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-24 22:53:47,069] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-24 22:53:47,069] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-24 22:53:47,073] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-24 22:53:47,073] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-24 22:53:47,073] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-24 22:53:47,073] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-24 22:53:47,074] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-24 22:53:47,074] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-24 22:53:47,116] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-24 22:53:47,116] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-24 22:53:47,116] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: successfully saved checkpoint at iteration 3000 to checkpoints_280m 7: time (ms) | save-checkpoint: 18018.55 7: iteration 3010/ 11269 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 4.12 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 2.811312E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 62.086 | TFLOPs: 4.06 | 7: iteration 3020/ 11269 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 2.27 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 2.828985E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.803 | TFLOPs: 7.38 | 7: iteration 3030/ 11269 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 2.26 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 2.784286E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.061 | TFLOPs: 7.39 | 7: iteration 3040/ 11269 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 2.22 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.825314E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.161 | TFLOPs: 7.53 | 7: iteration 3050/ 11269 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 2.28 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 2.833118E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.368 | TFLOPs: 7.35 | 7: iteration 3060/ 11269 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 2.23 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 2.850346E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.596 | TFLOPs: 7.49 | 7: iteration 3070/ 11269 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 2.21 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 2.852076E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.623 | TFLOPs: 7.56 | 7: iteration 3080/ 11269 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 2.25 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 2.819139E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.690 | TFLOPs: 7.44 | 7: iteration 3090/ 11269 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 2.26 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 2.818949E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.316 | TFLOPs: 7.41 | 7: iteration 3100/ 11269 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 2.30 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 2.847962E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.362 | TFLOPs: 7.28 | 7: iteration 3110/ 11269 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 2.25 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 2.782170E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.677 | TFLOPs: 7.43 | 7: iteration 3120/ 11269 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 2.24 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 2.824697E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.140 | TFLOPs: 7.46 | 7: iteration 3130/ 11269 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 2.31 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 2.820462E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.770 | TFLOPs: 7.24 | 7: iteration 3140/ 11269 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 2.30 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 2.788588E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.138 | TFLOPs: 7.27 | 7: iteration 3150/ 11269 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 2.22 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 2.830043E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.236 | TFLOPs: 7.54 | 7: iteration 3160/ 11269 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 2.23 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 2.782759E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.032 | TFLOPs: 7.52 | 7: iteration 3170/ 11269 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 2.26 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 2.796507E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.247 | TFLOPs: 7.41 | 7: iteration 3180/ 11269 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 2.26 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 2.815835E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.133 | TFLOPs: 7.40 | 7: iteration 3190/ 11269 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 2.25 | learning rate: 1.683E-04 | global batch size: 256 | lm loss: 2.771339E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.629 | TFLOPs: 7.43 | 7: iteration 3200/ 11269 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 2.23 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 2.778460E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.752 | TFLOPs: 7.50 | 7: iteration 3210/ 11269 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 2.23 | learning rate: 1.679E-04 | global batch size: 256 | lm loss: 2.828316E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.628 | TFLOPs: 7.50 | 7: iteration 3220/ 11269 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 2.29 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 2.789464E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.883 | TFLOPs: 7.32 | 7: iteration 3230/ 11269 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 2.24 | learning rate: 1.675E-04 | global batch size: 256 | lm loss: 2.815137E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.275 | TFLOPs: 7.47 | 7: iteration 3240/ 11269 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 2.25 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 2.787490E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.616 | TFLOPs: 7.43 | 7: iteration 3250/ 11269 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 2.29 | learning rate: 1.671E-04 | global batch size: 256 | lm loss: 2.809377E+00 | grad norm: 1.582 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.896 | TFLOPs: 7.32 | 7: iteration 3260/ 11269 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 2.30 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 2.869932E+00 | grad norm: 0.951 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.470 | TFLOPs: 7.29 | 7: iteration 3270/ 11269 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 2.28 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 2.852056E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.050 | TFLOPs: 7.33 | 7: iteration 3280/ 11269 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 2.44 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.813884E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.960 | TFLOPs: 6.86 | 7: iteration 3290/ 11269 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 2.26 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 2.775502E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.212 | TFLOPs: 7.40 | 7: iteration 3300/ 11269 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 2.28 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 2.822070E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.129 | TFLOPs: 7.33 | 7: iteration 3310/ 11269 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 2.26 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.799767E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.441 | TFLOPs: 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norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.155 | TFLOPs: 7.47 | 7: iteration 3440/ 11269 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 2.22 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.740228E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.099 | TFLOPs: 7.53 | 7: iteration 3450/ 11269 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 2.27 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.806959E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.729 | TFLOPs: 7.37 | 7: iteration 3460/ 11269 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 2.30 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.778377E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.505 | TFLOPs: 7.29 | 7: iteration 3470/ 11269 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 2.23 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 2.807653E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.565 | TFLOPs: 7.49 | 7: iteration 3480/ 11269 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 2.23 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 2.794509E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.806 | TFLOPs: 7.51 | 7: iteration 3490/ 11269 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 2.27 | learning rate: 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7.30 | 7: iteration 3610/ 11269 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 2.30 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 2.786733E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.262 | TFLOPs: 7.28 | 7: iteration 3620/ 11269 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 2.31 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.751542E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.986 | TFLOPs: 7.26 | 7: iteration 3630/ 11269 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 2.27 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.783002E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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| number of nan iterations: 0 | samples per second: 109.781 | TFLOPs: 7.18 | 7: iteration 3670/ 11269 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 2.33 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.751491E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.700 | TFLOPs: 7.17 | 7: iteration 3680/ 11269 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 2.28 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.787155E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.312 | TFLOPs: 7.35 | 7: iteration 3690/ 11269 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 2.31 | learning rate: 1.581E-04 | global batch size: 256 | lm loss: 2.784480E+00 | grad norm: 0.298 | num zeros: 0.0 | 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norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.551 | TFLOPs: 7.10 | 7: iteration 3730/ 11269 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 2.29 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 2.769873E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.826 | TFLOPs: 7.31 | 7: iteration 3740/ 11269 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 2.36 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 2.750636E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.447 | TFLOPs: 7.09 | 7: iteration 3750/ 11269 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 2.42 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 2.785088E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.865 | TFLOPs: 6.92 | 7: iteration 3760/ 11269 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 2.42 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 2.733069E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.753 | TFLOPs: 6.92 | 7: iteration 3770/ 11269 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 2.41 | learning rate: 1.563E-04 | global batch size: 256 | lm loss: 2.761256E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.142 | TFLOPs: 6.94 | 7: iteration 3780/ 11269 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 2.29 | learning rate: 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iteration (s): 2.20 | learning rate: 1.555E-04 | global batch size: 256 | lm loss: 2.757799E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.557 | TFLOPs: 7.62 | 7: iteration 3820/ 11269 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 2.38 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 2.770771E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.632 | TFLOPs: 7.04 | 7: iteration 3830/ 11269 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 2.25 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.786399E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.623 | TFLOPs: 7.43 | 7: iteration 3840/ 11269 | consumed samples: 983040 | consumed 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7.44 | 7: iteration 3900/ 11269 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 2.27 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 2.731228E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.818 | TFLOPs: 7.38 | 7: iteration 3910/ 11269 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 2.25 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 2.750894E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.892 | TFLOPs: 7.45 | 7: iteration 3920/ 11269 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 2.24 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 2.749561E+00 | grad norm: 0.577 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.111 | TFLOPs: 7.46 | 7: iteration 3930/ 11269 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 2.25 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.793670E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.660 | TFLOPs: 7.43 | 7: iteration 3940/ 11269 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 2.32 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 2.720385E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.422 | TFLOPs: 7.22 | 7: iteration 3950/ 11269 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 2.26 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 2.744068E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.457 | TFLOPs: 7.42 | 7: iteration 3960/ 11269 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 2.24 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.714278E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.050 | TFLOPs: 7.46 | 7: iteration 3970/ 11269 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 2.30 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 2.775482E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.452 | TFLOPs: 7.29 | 7: iteration 3980/ 11269 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 2.24 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 2.751658E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.310 | TFLOPs: 7.48 | 7: iteration 3990/ 11269 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 2.24 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 2.767068E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.264 | TFLOPs: 7.47 | 0: [2022-11-24 23:31:42,453] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00015125198701273666, 0.00015125198701273666, 0.00015125198701273666], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 11269 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 2.23 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 2.722976E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.054 | TFLOPs: 7.52 | 0: steps: 4000 loss: 2.6805 iter time (s): 2.253 samples/sec: 113.637 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 2.801420E+00 | lm loss PPL: 1.646801E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_280m 0: [2022-11-24 23:31:44,031] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-24 23:31:44,457] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-24 23:31:45,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/layer_01-model_00-model_states.pt. 0: [2022-11-24 23:31:45,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_280m/global_step4000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-24 23:32:01,596] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-24 23:32:01,596] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-24 23:32:01,597] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-24 23:32:01,597] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-24 23:32:01,599] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-24 23:32:01,599] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-24 23:32:01,599] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-24 23:32:01,600] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-24 23:32:01,600] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-24 23:32:01,600] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2022-11-24 23:32:01,601] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-24 23:32:01,601] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_280m/global_step4000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-24 23:32:01,621] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-24 23:32:01,623] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-24 23:32:01,623] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-24 23:32:01,623] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-24 23:32:01,624] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-24 23:32:01,624] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-24 23:32:01,624] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-24 23:32:01,625] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 6: [2022-11-24 23:32:01,626] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-24 23:32:01,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-24 23:32:01,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-24 23:32:01,632] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 0: [2022-11-24 23:32:01,673] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-24 23:32:01,683] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-24 23:32:01,690] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-24 23:32:01,685] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-24 23:32:01,685] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2022-11-24 23:32:01,685] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-24 23:32:01,685] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-24 23:32:01,697] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-24 23:32:01,698] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-24 23:32:01,669] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-24 23:32:01,669] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-24 23:32:01,670] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-24 23:32:01,739] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-24 23:32:01,739] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-24 23:32:01,739] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_280m 7: time (ms) | save-checkpoint: 18426.50 7: iteration 4010/ 11269 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 4.16 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.731902E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 61.534 | TFLOPs: 4.02 | 7: iteration 4020/ 11269 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 2.29 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.763991E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.581 | TFLOPs: 7.30 | 7: iteration 4030/ 11269 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 2.27 | learning rate: 1.506E-04 | global batch size: 256 | lm loss: 2.733350E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.759 | TFLOPs: 7.37 | 7: iteration 4040/ 11269 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 2.28 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 2.703979E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.152 | TFLOPs: 7.33 | 7: iteration 4050/ 11269 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 2.26 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 2.714015E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.342 | TFLOPs: 7.41 | 7: iteration 4060/ 11269 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 2.28 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 2.754800E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.524 | TFLOPs: 7.36 | 7: iteration 4070/ 11269 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 2.24 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 2.764081E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.090 | TFLOPs: 7.46 | 7: iteration 4080/ 11269 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 2.25 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 2.733990E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.619 | TFLOPs: 7.43 | 7: iteration 4090/ 11269 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 2.24 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 2.741655E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.178 | TFLOPs: 7.47 | 7: iteration 4100/ 11269 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 2.25 | learning rate: 1.490E-04 | global batch size: 256 | lm loss: 2.733891E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.753 | TFLOPs: 7.44 | 7: iteration 4110/ 11269 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 2.27 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 2.698333E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.535 | TFLOPs: 7.36 | 7: iteration 4120/ 11269 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 2.28 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 2.692433E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.081 | TFLOPs: 7.33 | 7: iteration 4130/ 11269 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 2.24 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 2.698116E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.223 | TFLOPs: 7.47 | 7: iteration 4140/ 11269 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 2.25 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 2.716157E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.609 | TFLOPs: 7.43 | 7: iteration 4150/ 11269 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 2.30 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.730460E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.162 | TFLOPs: 7.27 | 7: iteration 4160/ 11269 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 2.26 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 2.729473E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.519 | TFLOPs: 7.42 | 7: iteration 4170/ 11269 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 2.28 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.704339E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.376 | TFLOPs: 7.35 | 7: iteration 4180/ 11269 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 2.27 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 2.724096E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.568 | TFLOPs: 7.36 | 7: iteration 4190/ 11269 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 2.24 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.690152E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.043 | TFLOPs: 7.46 | 7: iteration 4200/ 11269 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 2.25 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.724708E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.791 | TFLOPs: 7.44 | 7: iteration 4210/ 11269 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 2.26 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 2.722580E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.149 | TFLOPs: 7.40 | 7: iteration 4220/ 11269 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 2.24 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 2.740703E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.294 | TFLOPs: 7.47 | 7: iteration 4230/ 11269 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 2.23 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.720443E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.673 | TFLOPs: 7.50 | 7: iteration 4240/ 11269 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 2.27 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.719763E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.011 | TFLOPs: 7.39 | 7: iteration 4250/ 11269 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 2.29 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 2.699366E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.588 | TFLOPs: 7.30 | 7: iteration 4260/ 11269 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 2.28 | learning rate: 1.453E-04 | global batch size: 256 | lm loss: 2.726246E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.470 | TFLOPs: 7.36 | 7: iteration 4270/ 11269 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 2.25 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 2.683500E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.956 | TFLOPs: 7.45 | 7: iteration 4280/ 11269 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 2.33 | learning rate: 1.448E-04 | global batch size: 256 | lm loss: 2.722186E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.727 | TFLOPs: 7.18 | 7: iteration 4290/ 11269 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 2.23 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 2.705782E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.611 | TFLOPs: 7.50 | 7: iteration 4300/ 11269 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 2.25 | learning rate: 1.444E-04 | global batch size: 256 | lm loss: 2.722153E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.733 | TFLOPs: 7.44 | 7: iteration 4310/ 11269 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 2.28 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 2.710543E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.267 | TFLOPs: 7.34 | 7: iteration 4320/ 11269 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 2.22 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 2.708776E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.090 | TFLOPs: 7.53 | 7: iteration 4330/ 11269 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 2.26 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 2.682790E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.450 | TFLOPs: 7.42 | 7: iteration 4340/ 11269 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 2.27 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 2.745646E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.960 | TFLOPs: 7.39 | 7: iteration 4350/ 11269 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 2.29 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 2.715859E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.814 | TFLOPs: 7.31 | 7: iteration 4360/ 11269 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 2.27 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 2.708133E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.659 | TFLOPs: 7.37 | 7: iteration 4370/ 11269 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 2.26 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 2.742822E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.180 | TFLOPs: 7.40 | 7: iteration 4380/ 11269 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 2.25 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.705650E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.752 | TFLOPs: 7.44 | 7: iteration 4390/ 11269 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 2.26 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 2.738302E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.221 | TFLOPs: 7.40 | 7: iteration 4400/ 11269 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 2.32 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 2.716383E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.422 | TFLOPs: 7.22 | 7: iteration 4410/ 11269 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 2.31 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 2.690803E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.863 | TFLOPs: 7.25 | 7: iteration 4420/ 11269 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 2.27 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 2.702528E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.691 | TFLOPs: 7.37 | 7: iteration 4430/ 11269 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 2.24 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 2.678063E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.177 | TFLOPs: 7.47 | 7: iteration 4440/ 11269 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 2.30 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 2.714192E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.317 | TFLOPs: 7.28 | 7: iteration 4450/ 11269 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 2.24 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.717547E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.366 | TFLOPs: 7.48 | 7: iteration 4460/ 11269 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 2.31 | learning rate: 1.406E-04 | global batch size: 256 | lm loss: 2.652135E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.797 | TFLOPs: 7.25 | 7: iteration 4470/ 11269 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 2.24 | learning rate: 1.403E-04 | global batch size: 256 | lm loss: 2.694103E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.116 | TFLOPs: 7.46 | 7: iteration 4480/ 11269 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 2.29 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 2.713334E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.937 | TFLOPs: 7.32 | 7: iteration 4490/ 11269 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 2.24 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.667712E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.250 | TFLOPs: 7.47 | 7: iteration 4500/ 11269 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 2.28 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 2.700995E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.463 | TFLOPs: 7.36 | 7: iteration 4510/ 11269 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 2.27 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 2.682084E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.863 | TFLOPs: 7.38 | 7: iteration 4520/ 11269 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 2.23 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 2.704539E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.972 | TFLOPs: 7.52 | 7: iteration 4530/ 11269 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 2.23 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 2.728469E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.573 | TFLOPs: 7.49 | 7: iteration 4540/ 11269 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 2.30 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 2.708332E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.102 | TFLOPs: 7.27 | 7: iteration 4550/ 11269 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 2.29 | learning rate: 1.384E-04 | global batch size: 256 | lm loss: 2.681443E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.804 | TFLOPs: 7.31 | 7: iteration 4560/ 11269 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 2.30 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.699193E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.531 | TFLOPs: 7.29 | 7: iteration 4570/ 11269 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 2.30 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.684974E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.439 | TFLOPs: 7.29 | 7: iteration 4580/ 11269 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 2.34 | learning rate: 1.377E-04 | global batch size: 256 | lm loss: 2.705432E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.414 | TFLOPs: 7.16 | 7: iteration 4590/ 11269 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 2.38 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 2.657226E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.374 | TFLOPs: 7.02 | 7: iteration 4600/ 11269 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 2.26 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 2.723941E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.046 | TFLOPs: 7.39 | 7: iteration 4610/ 11269 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 2.44 | learning rate: 1.370E-04 | global batch size: 256 | lm loss: 2.692565E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.129 | TFLOPs: 6.88 | 7: iteration 4620/ 11269 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 2.39 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 2.699870E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.990 | TFLOPs: 7.00 | 7: iteration 4630/ 11269 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 2.46 | learning rate: 1.365E-04 | global batch size: 256 | lm loss: 2.715629E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.139 | TFLOPs: 6.81 | 7: iteration 4640/ 11269 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 2.44 | learning rate: 1.362E-04 | global batch size: 256 | lm loss: 2.726611E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.874 | TFLOPs: 6.86 | 7: iteration 4650/ 11269 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 2.46 | learning rate: 1.360E-04 | global batch size: 256 | lm loss: 2.683640E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.907 | TFLOPs: 6.80 | 7: iteration 4660/ 11269 | consumed samples: 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iteration 4690/ 11269 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 2.24 | learning rate: 1.350E-04 | global batch size: 256 | lm loss: 2.706244E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.050 | TFLOPs: 7.46 | 7: iteration 4700/ 11269 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 2.36 | learning rate: 1.348E-04 | global batch size: 256 | lm loss: 2.689532E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.510 | TFLOPs: 7.10 | 7: iteration 4710/ 11269 | consumed samples: 1205760 | consumed tokens: 2469396480 | elapsed time per iteration (s): 2.53 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 2.667379E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.344 | TFLOPs: 7.48 | 7: iteration 4780/ 11269 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 2.21 | learning rate: 1.328E-04 | global batch size: 256 | lm loss: 2.667196E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.589 | TFLOPs: 7.56 | 7: iteration 4790/ 11269 | consumed samples: 1226240 | consumed tokens: 2511339520 | elapsed time per iteration (s): 2.28 | learning rate: 1.326E-04 | global batch size: 256 | lm loss: 2.690030E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.323 | TFLOPs: 7.35 | 7: iteration 4800/ 11269 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 2.22 | learning rate: 1.323E-04 | global batch size: 256 | lm loss: 2.705730E+00 | grad 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256 | lm loss: 2.665745E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.885 | TFLOPs: 7.58 | 7: iteration 4840/ 11269 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 2.26 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 2.641556E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.122 | TFLOPs: 7.40 | 7: iteration 4850/ 11269 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 2.27 | learning rate: 1.311E-04 | global batch size: 256 | lm loss: 2.675724E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.002 | TFLOPs: 7.39 | 7: iteration 4860/ 11269 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 2.26 | learning 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per iteration (s): 2.29 | learning rate: 1.301E-04 | global batch size: 256 | lm loss: 2.683480E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.574 | TFLOPs: 7.30 | 7: iteration 4900/ 11269 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 2.31 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 2.655751E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.628 | TFLOPs: 7.24 | 7: iteration 4910/ 11269 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 2.23 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 2.643072E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.730 | TFLOPs: 7.50 | 7: iteration 4920/ 11269 | consumed samples: 1259520 | consumed 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consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 2.29 | learning rate: 1.286E-04 | global batch size: 256 | lm loss: 2.703685E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.983 | TFLOPs: 7.32 | 7: iteration 4960/ 11269 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 2.25 | learning rate: 1.284E-04 | global batch size: 256 | lm loss: 2.671183E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.822 | TFLOPs: 7.44 | 7: iteration 4970/ 11269 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 2.27 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 2.665305E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.949 | TFLOPs: 7.39 | 7: iteration 4980/ 11269 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 2.47 | learning rate: 1.279E-04 | global batch size: 256 | lm loss: 2.680545E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.602 | TFLOPs: 6.78 | 7: iteration 4990/ 11269 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 2.28 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.658217E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.065 | TFLOPs: 7.33 | 7: iteration 5000/ 11269 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 2.26 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 2.653764E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.161 | TFLOPs: 7.40 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 2.681519E+00 | lm loss PPL: 1.460727E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_280m 0: [2022-11-25 00:10:05,870] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-25 00:10:06,135] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-25 00:10:07,505] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-25 00:10:07,506] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-25 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-25 00:10:22,917] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-25 00:10:22,918] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-25 00:10:22,918] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-25 00:10:22,918] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 00:10:22,936] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-25 00:10:22,936] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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checkpoints_280m/global_step5000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-25 00:10:22,941] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-25 00:10:22,949] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-25 00:10:22,949] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-25 00:10:22,950] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 00:10:22,951] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 00:10:22,951] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 3: [2022-11-25 00:10:23,111] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 4: [2022-11-25 00:10:23,124] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 0: [2022-11-25 00:10:23,113] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 3: [2022-11-25 00:10:23,111] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 4: [2022-11-25 00:10:23,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 4: [2022-11-25 00:10:23,129] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 6: [2022-11-25 00:10:23,135] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 3: [2022-11-25 00:10:23,133] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 4: [2022-11-25 00:10:23,129] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 6: [2022-11-25 00:10:23,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 3: [2022-11-25 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checkpoints_280m/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 00:10:23,151] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2022-11-25 00:10:23,166] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-25 00:10:23,166] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-25 00:10:23,166] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-25 00:10:23,200] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-25 00:10:23,200] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step5000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-25 00:10:23,200] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_280m 7: time (ms) | save-checkpoint: 17972.76 7: iteration 5010/ 11269 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 4.29 | learning rate: 1.272E-04 | global batch size: 256 | lm loss: 2.664285E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 59.678 | TFLOPs: 3.90 | 7: iteration 5020/ 11269 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 2.29 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 2.643826E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.689 | TFLOPs: 7.30 | 7: iteration 5030/ 11269 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 2.26 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.658626E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.355 | TFLOPs: 7.41 | 7: iteration 5040/ 11269 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 2.31 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 2.637430E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.025 | TFLOPs: 7.26 | 7: iteration 5050/ 11269 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 2.23 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 2.631349E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.967 | TFLOPs: 7.52 | 7: iteration 5060/ 11269 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 2.29 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 2.638519E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.733 | TFLOPs: 7.31 | 7: iteration 5070/ 11269 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 2.23 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.659976E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.869 | TFLOPs: 7.51 | 7: iteration 5080/ 11269 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 2.27 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.682901E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.621 | TFLOPs: 7.37 | 7: iteration 5090/ 11269 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 2.30 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.660599E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.335 | TFLOPs: 7.28 | 7: iteration 5100/ 11269 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 2.22 | learning rate: 1.249E-04 | global batch size: 256 | lm loss: 2.690271E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.254 | TFLOPs: 7.54 | 7: iteration 5110/ 11269 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 2.25 | learning rate: 1.247E-04 | global batch size: 256 | lm loss: 2.668454E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.962 | TFLOPs: 7.45 | 7: iteration 5120/ 11269 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 2.23 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 2.675087E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.050 | TFLOPs: 7.52 | 7: iteration 5130/ 11269 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 2.25 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 2.672120E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.532 | TFLOPs: 7.42 | 7: iteration 5140/ 11269 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 2.25 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 2.657571E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.739 | TFLOPs: 7.44 | 7: iteration 5150/ 11269 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 2.24 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 2.672308E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.202 | TFLOPs: 7.47 | 7: iteration 5160/ 11269 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 2.29 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 2.672119E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.822 | TFLOPs: 7.31 | 7: iteration 5170/ 11269 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 2.26 | learning rate: 1.232E-04 | global batch size: 256 | lm loss: 2.656705E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.522 | TFLOPs: 7.42 | 7: iteration 5180/ 11269 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 2.27 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 2.662016E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.853 | TFLOPs: 7.38 | 7: iteration 5190/ 11269 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 2.23 | learning rate: 1.227E-04 | global batch size: 256 | lm loss: 2.641257E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.805 | TFLOPs: 7.51 | 7: iteration 5200/ 11269 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 2.26 | learning rate: 1.224E-04 | global batch size: 256 | lm loss: 2.652629E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.081 | TFLOPs: 7.40 | 7: iteration 5210/ 11269 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 2.25 | learning rate: 1.221E-04 | global batch size: 256 | lm loss: 2.631895E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.856 | TFLOPs: 7.45 | 7: iteration 5220/ 11269 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 2.28 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.643275E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.267 | TFLOPs: 7.34 | 7: iteration 5230/ 11269 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 2.23 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.682584E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.668 | TFLOPs: 7.50 | 7: iteration 5240/ 11269 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 2.23 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 2.636927E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.588 | TFLOPs: 7.49 | 7: iteration 5250/ 11269 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 2.28 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 2.662017E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.309 | TFLOPs: 7.34 | 7: iteration 5260/ 11269 | consumed samples: 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iteration 5290/ 11269 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 2.26 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.632226E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.477 | TFLOPs: 7.42 | 7: iteration 5300/ 11269 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 2.28 | learning rate: 1.199E-04 | global batch size: 256 | lm loss: 2.637878E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.171 | TFLOPs: 7.34 | 7: iteration 5310/ 11269 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 2.25 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 2.675174E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.638 | TFLOPs: 7.43 | 7: iteration 5320/ 11269 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 2.27 | learning rate: 1.194E-04 | global batch size: 256 | lm loss: 2.646531E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.592 | TFLOPs: 7.36 | 7: iteration 5330/ 11269 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 2.26 | learning rate: 1.191E-04 | global batch size: 256 | lm loss: 2.653011E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.384 | TFLOPs: 7.42 | 7: iteration 5340/ 11269 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 2.28 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 2.675173E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.073 | TFLOPs: 7.33 | 7: iteration 5350/ 11269 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 2.33 | learning rate: 1.186E-04 | global batch size: 256 | lm loss: 2.624027E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.760 | TFLOPs: 7.18 | 7: iteration 5360/ 11269 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 2.30 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 2.678029E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.285 | TFLOPs: 7.28 | 7: iteration 5370/ 11269 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 2.32 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 2.663469E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.391 | TFLOPs: 7.22 | 7: iteration 5380/ 11269 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 2.33 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 2.622090E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.837 | TFLOPs: 7.18 | 7: iteration 5390/ 11269 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 2.32 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.658307E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.562 | TFLOPs: 7.23 | 7: iteration 5400/ 11269 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 2.26 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.619592E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.358 | TFLOPs: 7.41 | 7: iteration 5410/ 11269 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 2.40 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.655215E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.607 | TFLOPs: 6.97 | 7: iteration 5420/ 11269 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 2.25 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 2.641120E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.609 | TFLOPs: 7.43 | 7: iteration 5430/ 11269 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 2.29 | learning rate: 1.166E-04 | global batch size: 256 | lm loss: 2.665192E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.658 | TFLOPs: 7.30 | 7: iteration 5440/ 11269 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 2.23 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 2.647088E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.668 | TFLOPs: 7.50 | 7: iteration 5450/ 11269 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 2.29 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 2.651951E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.906 | TFLOPs: 7.32 | 7: iteration 5460/ 11269 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 2.27 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 2.670540E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.980 | TFLOPs: 7.39 | 7: iteration 5470/ 11269 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 2.24 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 2.647638E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.122 | TFLOPs: 7.46 | 7: iteration 5480/ 11269 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 2.31 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 2.645853E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.876 | TFLOPs: 7.25 | 7: iteration 5490/ 11269 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 2.34 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.618018E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.583 | TFLOPs: 7.17 | 7: iteration 5500/ 11269 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 2.24 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 2.678154E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.529 | TFLOPs: 7.49 | 7: iteration 5510/ 11269 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 2.27 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.644091E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.723 | TFLOPs: 7.37 | 7: iteration 5520/ 11269 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 2.37 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 2.675306E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.183 | TFLOPs: 7.08 | 7: iteration 5530/ 11269 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 2.40 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 2.643635E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.753 | TFLOPs: 6.98 | 7: iteration 5540/ 11269 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 2.39 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 2.683995E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.267 | TFLOPs: 7.02 | 7: iteration 5550/ 11269 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 2.40 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 2.650560E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.610 | TFLOPs: 6.97 | 7: iteration 5560/ 11269 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 2.35 | learning rate: 1.133E-04 | global batch size: 256 | lm loss: 2.640148E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.763 | TFLOPs: 7.11 | 7: iteration 5570/ 11269 | consumed samples: 1425920 | consumed tokens: 2920284160 | elapsed time per iteration (s): 2.38 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.666381E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.711 | TFLOPs: 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samples per second: 111.241 | TFLOPs: 7.28 | 7: iteration 5610/ 11269 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 2.24 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 2.678088E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.428 | TFLOPs: 7.48 | 7: iteration 5620/ 11269 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 2.22 | learning rate: 1.118E-04 | global batch size: 256 | lm loss: 2.627155E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.268 | TFLOPs: 7.54 | 7: iteration 5630/ 11269 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 2.28 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.676964E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.502 | TFLOPs: 7.36 | 7: iteration 5640/ 11269 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 2.30 | learning rate: 1.113E-04 | global batch size: 256 | lm loss: 2.596623E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.267 | TFLOPs: 7.28 | 7: iteration 5650/ 11269 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 2.28 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 2.647384E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.071 | TFLOPs: 7.33 | 7: iteration 5660/ 11269 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 2.30 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 2.629322E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.315 | TFLOPs: 7.28 | 7: iteration 5670/ 11269 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 2.37 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 2.666292E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.039 | TFLOPs: 7.07 | 7: iteration 5680/ 11269 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 2.21 | learning rate: 1.103E-04 | global batch size: 256 | lm loss: 2.648401E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.702 | TFLOPs: 7.57 | 7: iteration 5690/ 11269 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 2.26 | learning rate: 1.100E-04 | global batch size: 256 | lm loss: 2.689518E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.177 | TFLOPs: 7.40 | 7: iteration 5700/ 11269 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 2.49 | learning rate: 1.098E-04 | global batch size: 256 | lm loss: 2.665260E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 102.811 | TFLOPs: 6.72 | 7: iteration 5710/ 11269 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 2.26 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 2.634866E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.307 | TFLOPs: 7.41 | 7: iteration 5720/ 11269 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 2.24 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 2.617080E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.065 | TFLOPs: 7.46 | 7: iteration 5730/ 11269 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 2.23 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.663321E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.543 | TFLOPs: 7.49 | 7: iteration 5740/ 11269 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 2.26 | learning rate: 1.088E-04 | global batch size: 256 | lm loss: 2.634046E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.181 | TFLOPs: 7.40 | 7: iteration 5750/ 11269 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 2.27 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 2.594745E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.634 | TFLOPs: 7.37 | 7: iteration 5760/ 11269 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 2.24 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 2.632357E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.287 | TFLOPs: 7.47 | 7: iteration 5770/ 11269 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 2.25 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 2.624111E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.695 | TFLOPs: 7.44 | 7: iteration 5780/ 11269 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 2.27 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.624792E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.597 | TFLOPs: 7.36 | 7: iteration 5790/ 11269 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 2.21 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 2.639010E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.657 | TFLOPs: 7.56 | 7: iteration 5800/ 11269 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 2.31 | learning rate: 1.072E-04 | global batch size: 256 | lm loss: 2.657705E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.897 | TFLOPs: 7.25 | 7: iteration 5810/ 11269 | consumed samples: 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iteration 5840/ 11269 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 2.22 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.639957E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.571 | TFLOPs: 7.56 | 7: iteration 5850/ 11269 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 2.28 | learning rate: 1.060E-04 | global batch size: 256 | lm loss: 2.646408E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.226 | TFLOPs: 7.34 | 7: iteration 5860/ 11269 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 2.25 | learning rate: 1.057E-04 | global batch size: 256 | lm loss: 2.637104E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.820 | TFLOPs: 7.44 | 7: iteration 5870/ 11269 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 2.25 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 2.639072E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.595 | TFLOPs: 7.43 | 7: iteration 5880/ 11269 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 2.27 | learning rate: 1.052E-04 | global batch size: 256 | lm loss: 2.634971E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.755 | TFLOPs: 7.37 | 7: iteration 5890/ 11269 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 2.30 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 2.595209E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.352 | TFLOPs: 7.28 | 7: iteration 5900/ 11269 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 2.27 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 2.607697E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.878 | TFLOPs: 7.38 | 7: iteration 5910/ 11269 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 2.28 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 2.628790E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.096 | TFLOPs: 7.33 | 7: iteration 5920/ 11269 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 2.24 | learning rate: 1.042E-04 | global batch size: 256 | lm loss: 2.648265E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.266 | TFLOPs: 7.47 | 7: iteration 5930/ 11269 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 2.27 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 2.625488E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.834 | TFLOPs: 7.38 | 7: iteration 5940/ 11269 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 2.24 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 2.630339E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.255 | TFLOPs: 7.47 | 7: iteration 5950/ 11269 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 2.25 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 2.639078E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.029 | TFLOPs: 7.46 | 7: iteration 5960/ 11269 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 2.25 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 2.634944E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.605 | TFLOPs: 7.43 | 7: iteration 5970/ 11269 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 2.29 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 2.673994E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.945 | TFLOPs: 7.32 | 7: iteration 5980/ 11269 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 2.24 | learning rate: 1.027E-04 | global batch size: 256 | lm loss: 2.635169E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.170 | TFLOPs: 7.47 | 7: iteration 5990/ 11269 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 2.26 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 2.641284E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.218 | TFLOPs: 7.40 | 0: [2022-11-25 00:48:22,816] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00010217547488893524, 0.00010217547488893524, 0.00010217547488893524], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 11269 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 2.26 | learning rate: 1.022E-04 | global batch size: 256 | lm loss: 2.630149E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.484 | TFLOPs: 7.42 | 0: steps: 6000 loss: 2.6406 iter time (s): 2.276 samples/sec: 112.486 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 2.649355E+00 | lm loss PPL: 1.414491E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_280m 0: [2022-11-25 00:48:24,347] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-25 00:48:24,669] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-25 00:48:26,245] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-25 00:48:26,246] [INFO] 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checkpoints_280m/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-25 00:48:40,968] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-25 00:48:40,972] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 1: [2022-11-25 00:48:40,973] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 7: [2022-11-25 00:48:40,972] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 5: [2022-11-25 00:48:40,973] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 1: [2022-11-25 00:48:40,973] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 7: [2022-11-25 00:48:40,972] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-25 00:48:40,973] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 1: [2022-11-25 00:48:40,973] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-25 00:48:40,973] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 2: [2022-11-25 00:48:40,976] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2022-11-25 00:48:40,976] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-25 00:48:40,976] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-25 00:48:40,977] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-25 00:48:40,977] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-25 00:48:40,977] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 00:48:40,983] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-25 00:48:40,983] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 5: [2022-11-25 00:48:40,983] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-25 00:48:40,983] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 1: [2022-11-25 00:48:40,983] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-25 00:48:40,983] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-25 00:48:40,984] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 00:48:40,985] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-25 00:48:40,985] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280m/global_step6000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 00:48:41,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-25 00:48:41,038] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-25 00:48:41,038] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 00:48:41,038] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-25 00:48:41,047] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-25 00:48:41,047] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-25 00:48:41,047] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: successfully saved checkpoint at iteration 6000 to checkpoints_280m 7: time (ms) | save-checkpoint: 17413.19 7: iteration 6010/ 11269 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 4.05 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 2.653091E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 63.266 | TFLOPs: 4.14 | 7: iteration 6020/ 11269 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 2.25 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 2.617980E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.629 | TFLOPs: 7.43 | 7: iteration 6030/ 11269 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 2.23 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 2.613178E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.676 | TFLOPs: 7.50 | 7: iteration 6040/ 11269 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 2.30 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 2.658087E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.076 | TFLOPs: 7.26 | 7: iteration 6050/ 11269 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 2.28 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.602688E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.204 | TFLOPs: 7.34 | 7: iteration 6060/ 11269 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 2.25 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 2.612511E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.849 | TFLOPs: 7.45 | 7: iteration 6070/ 11269 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 2.28 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.648431E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.473 | TFLOPs: 7.36 | 7: iteration 6080/ 11269 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 2.27 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 2.639334E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.568 | TFLOPs: 7.36 | 7: iteration 6090/ 11269 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 2.25 | learning rate: 9.991E-05 | global batch size: 256 | lm loss: 2.617604E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.878 | TFLOPs: 7.45 | 7: iteration 6100/ 11269 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 2.24 | learning rate: 9.965E-05 | global batch size: 256 | lm loss: 2.641151E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.135 | TFLOPs: 7.46 | 7: iteration 6110/ 11269 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 2.25 | learning rate: 9.940E-05 | global batch size: 256 | lm loss: 2.608615E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.743 | TFLOPs: 7.44 | 7: iteration 6120/ 11269 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 2.20 | learning rate: 9.915E-05 | global batch size: 256 | lm loss: 2.591707E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.522 | TFLOPs: 7.62 | 7: iteration 6130/ 11269 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 2.28 | learning rate: 9.890E-05 | global batch size: 256 | lm loss: 2.626369E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.358 | TFLOPs: 7.35 | 7: iteration 6140/ 11269 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 2.23 | learning rate: 9.865E-05 | global batch size: 256 | lm loss: 2.611812E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.672 | TFLOPs: 7.50 | 7: iteration 6150/ 11269 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 2.27 | learning rate: 9.840E-05 | global batch size: 256 | lm loss: 2.614158E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.824 | TFLOPs: 7.38 | 7: iteration 6160/ 11269 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 2.26 | learning rate: 9.815E-05 | global batch size: 256 | lm loss: 2.604217E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.370 | TFLOPs: 7.41 | 7: iteration 6170/ 11269 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 2.25 | learning rate: 9.789E-05 | global batch size: 256 | lm loss: 2.613047E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.670 | TFLOPs: 7.43 | 7: iteration 6180/ 11269 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 2.29 | learning rate: 9.764E-05 | global batch size: 256 | lm loss: 2.600519E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.793 | TFLOPs: 7.31 | 7: iteration 6190/ 11269 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 2.30 | learning rate: 9.739E-05 | global batch size: 256 | lm loss: 2.634316E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.312 | TFLOPs: 7.28 | 7: iteration 6200/ 11269 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 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iteration 6290/ 11269 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 2.31 | learning rate: 9.489E-05 | global batch size: 256 | lm loss: 2.600177E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.849 | TFLOPs: 7.25 | 7: iteration 6300/ 11269 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 2.33 | learning rate: 9.464E-05 | global batch size: 256 | lm loss: 2.608599E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.962 | TFLOPs: 7.19 | 7: iteration 6310/ 11269 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 2.25 | learning rate: 9.439E-05 | global batch size: 256 | lm loss: 2.595931E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.689 | TFLOPs: 7.44 | 7: iteration 6320/ 11269 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 2.27 | learning rate: 9.414E-05 | global batch size: 256 | lm loss: 2.619126E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.908 | TFLOPs: 7.38 | 7: iteration 6330/ 11269 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 2.23 | learning rate: 9.389E-05 | global batch size: 256 | lm loss: 2.648618E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.937 | TFLOPs: 7.52 | 7: iteration 6340/ 11269 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 2.34 | learning rate: 9.364E-05 | global batch size: 256 | lm loss: 2.576784E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number 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norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.316 | TFLOPs: 7.48 | 7: iteration 6410/ 11269 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 2.35 | learning rate: 9.190E-05 | global batch size: 256 | lm loss: 2.630524E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.739 | TFLOPs: 7.11 | 7: iteration 6420/ 11269 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 2.31 | learning rate: 9.165E-05 | global batch size: 256 | lm loss: 2.586150E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.811 | TFLOPs: 7.25 | 7: iteration 6430/ 11269 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 2.41 | learning rate: 9.140E-05 | global batch size: 256 | lm loss: 2.607280E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.337 | TFLOPs: 6.95 | 7: iteration 6440/ 11269 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 2.26 | learning rate: 9.115E-05 | global batch size: 256 | lm loss: 2.613060E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.185 | TFLOPs: 7.40 | 7: iteration 6450/ 11269 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 2.35 | learning rate: 9.091E-05 | global batch size: 256 | lm loss: 2.606221E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.834 | TFLOPs: 7.12 | 7: iteration 6460/ 11269 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 2.43 | learning 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7.41 | 7: iteration 6580/ 11269 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 2.30 | learning rate: 8.770E-05 | global batch size: 256 | lm loss: 2.615308E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.074 | TFLOPs: 7.26 | 7: iteration 6590/ 11269 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 2.26 | learning rate: 8.746E-05 | global batch size: 256 | lm loss: 2.602205E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.276 | TFLOPs: 7.41 | 7: iteration 6600/ 11269 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 2.32 | learning rate: 8.721E-05 | global batch size: 256 | lm loss: 2.602823E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.223 | TFLOPs: 7.21 | 7: iteration 6610/ 11269 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 2.38 | learning rate: 8.697E-05 | global batch size: 256 | lm loss: 2.605812E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.705 | TFLOPs: 7.04 | 7: iteration 6620/ 11269 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 2.28 | learning rate: 8.672E-05 | global batch size: 256 | lm loss: 2.578978E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.175 | TFLOPs: 7.34 | 7: iteration 6630/ 11269 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 2.35 | learning rate: 8.648E-05 | global batch size: 256 | lm loss: 2.609834E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.731 | TFLOPs: 7.11 | 7: iteration 6640/ 11269 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 2.31 | learning rate: 8.623E-05 | global batch size: 256 | lm loss: 2.581196E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.765 | TFLOPs: 7.24 | 7: iteration 6650/ 11269 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 2.29 | learning rate: 8.599E-05 | global batch size: 256 | lm loss: 2.567898E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.866 | TFLOPs: 7.32 | 7: iteration 6660/ 11269 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 2.28 | learning rate: 8.574E-05 | global batch size: 256 | lm loss: 2.622252E+00 | grad norm: 0.265 | num zeros: 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2.598439E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.922 | TFLOPs: 7.58 | 7: iteration 6700/ 11269 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 2.31 | learning rate: 8.477E-05 | global batch size: 256 | lm loss: 2.604791E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.888 | TFLOPs: 7.25 | 7: iteration 6710/ 11269 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 2.51 | learning rate: 8.452E-05 | global batch size: 256 | lm loss: 2.620098E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 101.821 | TFLOPs: 6.66 | 7: iteration 6720/ 11269 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 2.23 | learning rate: 8.428E-05 | global batch size: 256 | lm loss: 2.575998E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.698 | TFLOPs: 7.50 | 7: iteration 6730/ 11269 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 2.21 | learning rate: 8.404E-05 | global batch size: 256 | lm loss: 2.622257E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.071 | TFLOPs: 7.59 | 7: iteration 6740/ 11269 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 2.34 | learning rate: 8.380E-05 | global batch size: 256 | lm loss: 2.598026E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.578 | TFLOPs: 7.17 | 7: iteration 6750/ 11269 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 2.23 | learning rate: 8.355E-05 | global batch size: 256 | lm loss: 2.575069E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.879 | TFLOPs: 7.51 | 7: iteration 6760/ 11269 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 2.25 | learning rate: 8.331E-05 | global batch size: 256 | lm loss: 2.595128E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.728 | TFLOPs: 7.44 | 7: iteration 6770/ 11269 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 2.23 | learning rate: 8.307E-05 | global batch size: 256 | lm loss: 2.556724E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.616 | TFLOPs: 7.50 | 7: iteration 6780/ 11269 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 2.28 | learning rate: 8.283E-05 | global batch size: 256 | lm loss: 2.570094E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.036 | TFLOPs: 7.33 | 7: iteration 6790/ 11269 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 2.27 | learning rate: 8.259E-05 | global batch size: 256 | lm loss: 2.593558E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.665 | TFLOPs: 7.37 | 7: iteration 6800/ 11269 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 2.26 | learning rate: 8.235E-05 | global batch size: 256 | lm loss: 2.643055E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.076 | TFLOPs: 7.40 | 7: iteration 6810/ 11269 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 2.30 | learning rate: 8.210E-05 | global batch size: 256 | lm loss: 2.585718E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.232 | TFLOPs: 7.27 | 7: iteration 6820/ 11269 | consumed samples: 1745920 | consumed tokens: 3575644160 | elapsed time per iteration (s): 2.26 | learning rate: 8.186E-05 | global batch size: 256 | lm loss: 2.587111E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.466 | TFLOPs: 7.42 | 7: iteration 6830/ 11269 | consumed samples: 1748480 | consumed tokens: 3580887040 | elapsed time per iteration (s): 2.26 | learning rate: 8.162E-05 | global batch size: 256 | lm loss: 2.602578E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.354 | TFLOPs: 7.41 | 7: iteration 6840/ 11269 | consumed samples: 1751040 | consumed tokens: 3586129920 | elapsed time per iteration (s): 2.26 | learning rate: 8.138E-05 | global batch size: 256 | lm loss: 2.593934E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.229 | TFLOPs: 7.41 | 7: iteration 6850/ 11269 | consumed samples: 1753600 | consumed tokens: 3591372800 | elapsed time per iteration (s): 2.24 | learning rate: 8.114E-05 | global batch size: 256 | lm loss: 2.589202E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.270 | TFLOPs: 7.47 | 7: iteration 6860/ 11269 | consumed samples: 1756160 | consumed tokens: 3596615680 | elapsed time per iteration (s): 2.21 | learning rate: 8.090E-05 | global batch size: 256 | lm loss: 2.572263E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.071 | TFLOPs: 7.59 | 7: iteration 6870/ 11269 | consumed samples: 1758720 | consumed tokens: 3601858560 | elapsed time per iteration (s): 2.22 | learning rate: 8.066E-05 | global batch size: 256 | lm loss: 2.623075E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.198 | TFLOPs: 7.53 | 7: iteration 6880/ 11269 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 2.24 | learning rate: 8.042E-05 | global batch size: 256 | lm loss: 2.609845E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.093 | TFLOPs: 7.46 | 7: iteration 6890/ 11269 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 2.21 | learning rate: 8.018E-05 | global batch size: 256 | lm loss: 2.543865E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.936 | TFLOPs: 7.58 | 7: iteration 6900/ 11269 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 2.28 | learning rate: 7.994E-05 | global batch size: 256 | lm loss: 2.551418E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.510 | TFLOPs: 7.36 | 7: iteration 6910/ 11269 | consumed samples: 1768960 | consumed tokens: 3622830080 | elapsed time per iteration (s): 2.28 | learning rate: 7.971E-05 | global batch size: 256 | lm loss: 2.589397E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.120 | TFLOPs: 7.33 | 7: iteration 6920/ 11269 | consumed samples: 1771520 | consumed tokens: 3628072960 | elapsed time per iteration (s): 2.21 | learning rate: 7.947E-05 | global batch size: 256 | lm loss: 2.584126E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.833 | TFLOPs: 7.58 | 7: iteration 6930/ 11269 | consumed samples: 1774080 | consumed tokens: 3633315840 | elapsed time per iteration (s): 2.25 | learning rate: 7.923E-05 | global batch size: 256 | lm loss: 2.579226E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.966 | TFLOPs: 7.45 | 7: iteration 6940/ 11269 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 2.24 | learning rate: 7.899E-05 | global batch size: 256 | lm loss: 2.599242E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.269 | TFLOPs: 7.47 | 7: iteration 6950/ 11269 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 2.29 | learning rate: 7.875E-05 | global batch size: 256 | lm loss: 2.574149E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.613 | TFLOPs: 7.30 | 7: iteration 6960/ 11269 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 2.24 | learning rate: 7.852E-05 | global batch size: 256 | lm loss: 2.618488E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.421 | TFLOPs: 7.48 | 7: iteration 6970/ 11269 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 2.24 | learning rate: 7.828E-05 | global batch size: 256 | lm loss: 2.578724E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.471 | TFLOPs: 7.49 | 7: iteration 6980/ 11269 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 2.26 | learning rate: 7.804E-05 | global batch size: 256 | lm loss: 2.558242E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.350 | TFLOPs: 7.41 | 7: iteration 6990/ 11269 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 2.28 | learning rate: 7.780E-05 | global batch size: 256 | lm loss: 2.613503E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.292 | TFLOPs: 7.34 | 7: iteration 7000/ 11269 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 2.25 | learning rate: 7.757E-05 | global batch size: 256 | lm loss: 2.598276E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.850 | TFLOPs: 7.45 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 2.546631E+00 | lm loss PPL: 1.276403E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_280m 0: [2022-11-25 01:26:45,994] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-25 01:26:46,258] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-25 01:26:47,614] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/layer_01-model_00-model_states.pt. 0: [2022-11-25 01:26:47,614] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step7000/layer_03-model_00-model_states.pt... 0: [2022-11-25 01:26:47,825] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/layer_03-model_00-model_states.pt. 0: [2022-11-25 01:26:47,825] [INFO] 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[2022-11-25 01:27:02,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 01:27:02,607] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 1: [2022-11-25 01:27:02,612] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 2: [2022-11-25 01:27:02,615] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 1: [2022-11-25 01:27:02,613] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 2: [2022-11-25 01:27:02,615] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 1: [2022-11-25 01:27:02,613] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2022-11-25 01:27:02,615] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 1: [2022-11-25 01:27:02,615] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-25 01:27:02,615] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-25 01:27:02,615] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-25 01:27:02,620] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-25 01:27:02,620] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-25 01:27:02,620] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 1: [2022-11-25 01:27:02,625] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 01:27:02,625] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 01:27:02,625] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 1: [2022-11-25 01:27:02,638] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-25 01:27:02,638] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 2: [2022-11-25 01:27:02,639] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 1: [2022-11-25 01:27:02,638] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2022-11-25 01:27:02,640] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-25 01:27:02,640] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 1: [2022-11-25 01:27:02,698] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 01:27:02,698] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step7000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 01:27:02,698] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_280m 7: time (ms) | save-checkpoint: 17561.07 7: iteration 7010/ 11269 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 4.10 | learning rate: 7.733E-05 | global batch size: 256 | lm loss: 2.571686E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 62.432 | TFLOPs: 4.08 | 7: iteration 7020/ 11269 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 2.27 | learning rate: 7.710E-05 | global batch size: 256 | lm loss: 2.622999E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.783 | TFLOPs: 7.38 | 7: iteration 7030/ 11269 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 2.25 | learning rate: 7.686E-05 | global batch size: 256 | lm loss: 2.561404E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.531 | TFLOPs: 7.42 | 7: iteration 7040/ 11269 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 2.22 | learning rate: 7.662E-05 | global batch size: 256 | lm loss: 2.601885E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.444 | TFLOPs: 7.55 | 7: iteration 7050/ 11269 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 2.28 | learning rate: 7.639E-05 | global batch size: 256 | lm loss: 2.601881E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.045 | TFLOPs: 7.33 | 7: iteration 7060/ 11269 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 2.35 | learning rate: 7.615E-05 | global batch size: 256 | lm loss: 2.572008E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.981 | TFLOPs: 7.13 | 7: iteration 7070/ 11269 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 2.26 | learning rate: 7.592E-05 | global batch size: 256 | lm loss: 2.589737E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.270 | TFLOPs: 7.41 | 7: iteration 7080/ 11269 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 2.25 | learning rate: 7.569E-05 | global batch size: 256 | lm loss: 2.570206E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.989 | TFLOPs: 7.45 | 7: iteration 7090/ 11269 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 2.24 | learning rate: 7.545E-05 | global batch size: 256 | lm loss: 2.594903E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.229 | TFLOPs: 7.47 | 7: iteration 7100/ 11269 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 2.32 | learning rate: 7.522E-05 | global batch size: 256 | lm loss: 2.556957E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.574 | TFLOPs: 7.23 | 7: iteration 7110/ 11269 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 2.26 | learning rate: 7.498E-05 | global batch size: 256 | lm loss: 2.615387E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.036 | TFLOPs: 7.39 | 7: iteration 7120/ 11269 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 2.27 | learning rate: 7.475E-05 | global batch size: 256 | lm loss: 2.577015E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.675 | TFLOPs: 7.37 | 7: iteration 7130/ 11269 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 2.22 | learning rate: 7.452E-05 | global batch size: 256 | lm loss: 2.597958E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.435 | TFLOPs: 7.55 | 7: iteration 7140/ 11269 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 2.31 | learning rate: 7.428E-05 | global batch size: 256 | lm loss: 2.576089E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.627 | TFLOPs: 7.23 | 7: iteration 7150/ 11269 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 2.34 | learning rate: 7.405E-05 | global batch size: 256 | lm loss: 2.583586E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.205 | TFLOPs: 7.14 | 7: iteration 7160/ 11269 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 2.27 | learning rate: 7.382E-05 | global batch size: 256 | lm loss: 2.608344E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.990 | TFLOPs: 7.39 | 7: iteration 7170/ 11269 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 2.29 | learning rate: 7.359E-05 | global batch size: 256 | lm loss: 2.610265E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.665 | TFLOPs: 7.30 | 7: iteration 7180/ 11269 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 2.27 | learning rate: 7.336E-05 | global batch size: 256 | lm loss: 2.590388E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.627 | TFLOPs: 7.37 | 7: iteration 7190/ 11269 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 2.35 | learning rate: 7.313E-05 | global batch size: 256 | lm loss: 2.563224E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.147 | TFLOPs: 7.14 | 7: iteration 7200/ 11269 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 2.27 | learning rate: 7.289E-05 | global batch size: 256 | lm loss: 2.569676E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.953 | TFLOPs: 7.39 | 7: iteration 7210/ 11269 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 2.29 | learning rate: 7.266E-05 | global batch size: 256 | lm loss: 2.585349E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.989 | TFLOPs: 7.32 | 7: iteration 7220/ 11269 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 2.32 | learning rate: 7.243E-05 | global batch size: 256 | lm loss: 2.580097E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.313 | TFLOPs: 7.21 | 7: iteration 7230/ 11269 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 2.29 | learning rate: 7.220E-05 | global batch size: 256 | lm loss: 2.590615E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.690 | TFLOPs: 7.30 | 7: iteration 7240/ 11269 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 2.27 | learning rate: 7.197E-05 | global batch size: 256 | lm loss: 2.600242E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.830 | TFLOPs: 7.38 | 7: iteration 7250/ 11269 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 2.28 | learning rate: 7.174E-05 | global batch size: 256 | lm loss: 2.613518E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.314 | TFLOPs: 7.35 | 7: iteration 7260/ 11269 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 2.26 | learning rate: 7.151E-05 | global batch size: 256 | lm loss: 2.558475E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.299 | TFLOPs: 7.41 | 7: iteration 7270/ 11269 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 2.31 | learning rate: 7.129E-05 | global batch size: 256 | lm loss: 2.599473E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.960 | TFLOPs: 7.26 | 7: iteration 7280/ 11269 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 2.24 | learning rate: 7.106E-05 | global batch size: 256 | lm loss: 2.604999E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.053 | TFLOPs: 7.46 | 7: iteration 7290/ 11269 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 2.23 | learning rate: 7.083E-05 | global batch size: 256 | lm loss: 2.591540E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.994 | TFLOPs: 7.52 | 7: iteration 7300/ 11269 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 2.27 | learning rate: 7.060E-05 | global batch size: 256 | lm loss: 2.599156E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.662 | TFLOPs: 7.37 | 7: iteration 7310/ 11269 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 2.23 | learning rate: 7.037E-05 | global batch size: 256 | lm loss: 2.586106E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.611 | TFLOPs: 7.50 | 7: iteration 7320/ 11269 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 2.24 | learning rate: 7.014E-05 | global batch size: 256 | lm loss: 2.572681E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.064 | TFLOPs: 7.46 | 7: iteration 7330/ 11269 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 2.28 | learning rate: 6.992E-05 | global batch size: 256 | lm loss: 2.588368E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.236 | TFLOPs: 7.34 | 7: iteration 7340/ 11269 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 2.26 | learning rate: 6.969E-05 | global batch size: 256 | lm loss: 2.556401E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.393 | TFLOPs: 7.42 | 7: iteration 7350/ 11269 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 2.23 | learning rate: 6.946E-05 | global batch size: 256 | lm loss: 2.577078E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.552 | TFLOPs: 7.49 | 7: iteration 7360/ 11269 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 2.20 | learning rate: 6.924E-05 | global batch size: 256 | lm loss: 2.594313E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.455 | TFLOPs: 7.62 | 7: iteration 7370/ 11269 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 2.33 | learning rate: 6.901E-05 | global batch size: 256 | lm loss: 2.575928E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.807 | TFLOPs: 7.18 | 7: iteration 7380/ 11269 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 2.31 | learning rate: 6.879E-05 | global batch size: 256 | lm loss: 2.580787E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.725 | TFLOPs: 7.24 | 7: iteration 7390/ 11269 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 2.30 | learning rate: 6.856E-05 | global batch size: 256 | lm loss: 2.548737E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.208 | TFLOPs: 7.27 | 7: iteration 7400/ 11269 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 2.61 | learning rate: 6.834E-05 | global batch size: 256 | lm loss: 2.588731E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 98.228 | TFLOPs: 6.42 | 7: iteration 7410/ 11269 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 2.27 | learning rate: 6.811E-05 | global batch size: 256 | lm loss: 2.595308E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.549 | TFLOPs: 7.36 | 7: iteration 7420/ 11269 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 2.33 | learning rate: 6.789E-05 | global batch size: 256 | lm loss: 2.545747E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.055 | TFLOPs: 7.20 | 7: iteration 7430/ 11269 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 2.42 | learning rate: 6.766E-05 | global batch size: 256 | lm loss: 2.576559E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.679 | TFLOPs: 6.91 | 7: iteration 7440/ 11269 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 2.27 | learning rate: 6.744E-05 | global batch size: 256 | lm loss: 2.527263E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.559 | TFLOPs: 7.36 | 7: iteration 7450/ 11269 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 2.31 | learning rate: 6.722E-05 | global batch size: 256 | lm loss: 2.575088E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.840 | TFLOPs: 7.25 | 7: iteration 7460/ 11269 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 2.38 | learning rate: 6.700E-05 | global batch size: 256 | lm loss: 2.586980E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.658 | TFLOPs: 7.04 | 7: iteration 7470/ 11269 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 2.39 | learning rate: 6.677E-05 | global batch size: 256 | lm loss: 2.550972E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.307 | TFLOPs: 7.02 | 7: iteration 7480/ 11269 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 2.41 | learning rate: 6.655E-05 | global batch size: 256 | lm loss: 2.550182E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.394 | TFLOPs: 6.96 | 7: iteration 7490/ 11269 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 2.36 | learning rate: 6.633E-05 | global batch size: 256 | lm loss: 2.582326E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.330 | TFLOPs: 7.08 | 7: iteration 7500/ 11269 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 2.24 | learning rate: 6.611E-05 | global batch size: 256 | lm loss: 2.543626E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.208 | TFLOPs: 7.47 | 7: iteration 7510/ 11269 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 2.33 | learning rate: 6.589E-05 | global batch size: 256 | lm loss: 2.552120E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.892 | TFLOPs: 7.19 | 7: iteration 7520/ 11269 | consumed samples: 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256 | lm loss: 2.588805E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.394 | TFLOPs: 7.48 | 7: iteration 7700/ 11269 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 2.26 | learning rate: 6.175E-05 | global batch size: 256 | lm loss: 2.566091E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.070 | TFLOPs: 7.39 | 7: iteration 7710/ 11269 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 2.32 | learning rate: 6.154E-05 | global batch size: 256 | lm loss: 2.562288E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.435 | TFLOPs: 7.22 | 7: iteration 7720/ 11269 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 2.28 | learning 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per iteration (s): 2.24 | learning rate: 6.069E-05 | global batch size: 256 | lm loss: 2.572858E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.383 | TFLOPs: 7.48 | 7: iteration 7760/ 11269 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 2.25 | learning rate: 6.048E-05 | global batch size: 256 | lm loss: 2.579025E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.734 | TFLOPs: 7.44 | 7: iteration 7770/ 11269 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 2.29 | learning rate: 6.027E-05 | global batch size: 256 | lm loss: 2.565983E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.804 | TFLOPs: 7.31 | 7: iteration 7780/ 11269 | consumed samples: 1991680 | consumed 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0 | number of nan iterations: 0 | samples per second: 112.408 | TFLOPs: 7.35 | 7: iteration 7900/ 11269 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 2.25 | learning rate: 5.755E-05 | global batch size: 256 | lm loss: 2.535579E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.635 | TFLOPs: 7.43 | 7: iteration 7910/ 11269 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 2.25 | learning rate: 5.735E-05 | global batch size: 256 | lm loss: 2.584823E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.918 | TFLOPs: 7.45 | 7: iteration 7920/ 11269 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 2.21 | learning rate: 5.714E-05 | global batch size: 256 | lm loss: 2.545509E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.595 | TFLOPs: 7.56 | 7: iteration 7930/ 11269 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 2.23 | learning rate: 5.694E-05 | global batch size: 256 | lm loss: 2.591732E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.901 | TFLOPs: 7.51 | 7: iteration 7940/ 11269 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 2.24 | learning rate: 5.673E-05 | global batch size: 256 | lm loss: 2.530593E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.113 | TFLOPs: 7.46 | 7: iteration 7950/ 11269 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 2.23 | learning rate: 5.653E-05 | global batch size: 256 | lm loss: 2.536194E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.938 | TFLOPs: 7.52 | 7: iteration 7960/ 11269 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 2.29 | learning rate: 5.633E-05 | global batch size: 256 | lm loss: 2.608407E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.707 | TFLOPs: 7.31 | 7: iteration 7970/ 11269 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 2.24 | learning rate: 5.612E-05 | global batch size: 256 | lm loss: 2.570675E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.471 | TFLOPs: 7.49 | 7: iteration 7980/ 11269 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 2.26 | learning rate: 5.592E-05 | global batch size: 256 | lm loss: 2.561650E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.185 | TFLOPs: 7.40 | 7: iteration 7990/ 11269 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 2.27 | learning rate: 5.572E-05 | global batch size: 256 | lm loss: 2.598254E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.713 | TFLOPs: 7.37 | 0: [2022-11-25 02:05:03,287] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[5.551588445114958e-05, 5.551588445114958e-05, 5.551588445114958e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 8000/ 11269 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 2.25 | learning rate: 5.552E-05 | global batch size: 256 | lm loss: 2.561030E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.670 | TFLOPs: 7.43 | 0: steps: 8000 loss: 2.5563 iter time (s): 2.272 samples/sec: 112.660 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 2.532374E+00 | lm loss PPL: 1.258334E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_280m 0: [2022-11-25 02:05:04,832] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-25 02:05:05,209] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step8000/layer_01-model_00-model_states.pt... 0: [2022-11-25 02:05:06,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step8000/layer_01-model_00-model_states.pt. 0: [2022-11-25 02:05:06,706] [INFO] 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 3: [2022-11-25 02:05:22,292] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-25 02:05:22,292] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 3: [2022-11-25 02:05:22,300] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-25 02:05:22,300] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-25 02:05:22,300] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 5: [2022-11-25 02:05:22,302] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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checkpoints_280m/global_step8000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-25 02:05:22,306] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: [2022-11-25 02:05:22,309] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-25 02:05:22,309] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-25 02:05:22,309] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 3: [2022-11-25 02:05:22,313] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 1: [2022-11-25 02:05:22,313] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280m/global_step8000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 4: [2022-11-25 02:05:22,325] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 6: [2022-11-25 02:05:22,323] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 02:05:22,325] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-25 02:05:22,325] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 4: [2022-11-25 02:05:22,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step8000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-25 02:05:22,336] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_280m/global_step8000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 02:05:22,380] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: successfully saved checkpoint at iteration 8000 to checkpoints_280m 7: time (ms) | save-checkpoint: 18236.29 7: iteration 8010/ 11269 | consumed samples: 2050560 | consumed tokens: 4199546880 | elapsed time per iteration (s): 4.17 | learning rate: 5.531E-05 | global batch size: 256 | lm loss: 2.589281E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 61.401 | TFLOPs: 4.02 | 7: iteration 8020/ 11269 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 2.30 | learning rate: 5.511E-05 | global batch size: 256 | lm loss: 2.553755E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.363 | TFLOPs: 7.28 | 7: iteration 8030/ 11269 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 2.25 | learning rate: 5.491E-05 | global batch size: 256 | lm loss: 2.544765E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.530 | TFLOPs: 7.42 | 7: iteration 8040/ 11269 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 2.22 | learning rate: 5.471E-05 | global batch size: 256 | lm loss: 2.553321E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.112 | TFLOPs: 7.53 | 7: iteration 8050/ 11269 | consumed samples: 2060800 | consumed tokens: 4220518400 | elapsed time per iteration (s): 2.25 | learning rate: 5.451E-05 | global batch size: 256 | lm loss: 2.542286E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.022 | TFLOPs: 7.46 | 7: iteration 8060/ 11269 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 2.24 | learning rate: 5.431E-05 | global batch size: 256 | lm loss: 2.590001E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.415 | TFLOPs: 7.48 | 7: iteration 8070/ 11269 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 2.25 | learning rate: 5.411E-05 | global batch size: 256 | lm loss: 2.545639E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.695 | TFLOPs: 7.44 | 7: iteration 8080/ 11269 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 2.22 | learning rate: 5.392E-05 | global batch size: 256 | lm loss: 2.545481E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.393 | TFLOPs: 7.55 | 7: iteration 8090/ 11269 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 2.28 | learning rate: 5.372E-05 | global batch size: 256 | lm loss: 2.538317E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.130 | TFLOPs: 7.33 | 7: iteration 8100/ 11269 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 2.32 | learning rate: 5.352E-05 | global batch size: 256 | lm loss: 2.561412E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.466 | TFLOPs: 7.22 | 7: iteration 8110/ 11269 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 2.22 | learning rate: 5.332E-05 | global batch size: 256 | lm loss: 2.543498E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.377 | TFLOPs: 7.55 | 7: iteration 8120/ 11269 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 2.35 | learning rate: 5.313E-05 | global batch size: 256 | lm loss: 2.550660E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.013 | TFLOPs: 7.13 | 7: iteration 8130/ 11269 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 2.27 | learning rate: 5.293E-05 | global batch size: 256 | lm loss: 2.547206E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.831 | TFLOPs: 7.38 | 7: iteration 8140/ 11269 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 2.25 | learning rate: 5.273E-05 | global batch size: 256 | lm loss: 2.562514E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.655 | TFLOPs: 7.43 | 7: iteration 8150/ 11269 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 2.29 | learning rate: 5.254E-05 | global batch size: 256 | lm loss: 2.544394E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.811 | TFLOPs: 7.31 | 7: iteration 8160/ 11269 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 2.26 | learning rate: 5.234E-05 | global batch size: 256 | lm loss: 2.567895E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.188 | TFLOPs: 7.40 | 7: iteration 8170/ 11269 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 2.31 | learning rate: 5.215E-05 | global batch size: 256 | lm loss: 2.549285E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.767 | TFLOPs: 7.24 | 7: iteration 8180/ 11269 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 2.27 | learning rate: 5.196E-05 | global batch size: 256 | lm loss: 2.542685E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.791 | TFLOPs: 7.38 | 7: iteration 8190/ 11269 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 2.26 | learning rate: 5.176E-05 | global batch size: 256 | lm loss: 2.576598E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.360 | TFLOPs: 7.41 | 7: iteration 8200/ 11269 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 2.29 | learning rate: 5.157E-05 | global batch size: 256 | lm loss: 2.612299E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.723 | TFLOPs: 7.31 | 7: iteration 8210/ 11269 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 2.22 | learning rate: 5.138E-05 | global batch size: 256 | lm loss: 2.568214E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.136 | TFLOPs: 7.53 | 7: iteration 8220/ 11269 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 2.29 | learning rate: 5.119E-05 | global batch size: 256 | lm loss: 2.556603E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.771 | TFLOPs: 7.31 | 7: iteration 8230/ 11269 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 2.23 | learning rate: 5.099E-05 | global batch size: 256 | lm loss: 2.523947E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.666 | TFLOPs: 7.50 | 7: iteration 8240/ 11269 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 2.26 | learning rate: 5.080E-05 | global batch size: 256 | lm loss: 2.553195E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.290 | TFLOPs: 7.41 | 7: iteration 8250/ 11269 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 2.28 | learning rate: 5.061E-05 | global batch size: 256 | lm loss: 2.583763E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.480 | TFLOPs: 7.36 | 7: iteration 8260/ 11269 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 2.29 | learning rate: 5.042E-05 | global batch size: 256 | lm loss: 2.563334E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.714 | TFLOPs: 7.31 | 7: iteration 8270/ 11269 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 2.30 | learning rate: 5.023E-05 | global batch size: 256 | lm loss: 2.556040E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.477 | TFLOPs: 7.29 | 7: iteration 8280/ 11269 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 2.27 | learning rate: 5.004E-05 | global batch size: 256 | lm loss: 2.548906E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.967 | TFLOPs: 7.39 | 7: iteration 8290/ 11269 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 2.24 | learning rate: 4.985E-05 | global batch size: 256 | lm loss: 2.599805E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.472 | TFLOPs: 7.49 | 7: iteration 8300/ 11269 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 2.24 | learning rate: 4.967E-05 | global batch size: 256 | lm loss: 2.571730E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.188 | TFLOPs: 7.47 | 7: iteration 8310/ 11269 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 2.24 | learning rate: 4.948E-05 | global batch size: 256 | lm loss: 2.547770E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.104 | TFLOPs: 7.46 | 7: iteration 8320/ 11269 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 2.25 | learning rate: 4.929E-05 | global batch size: 256 | lm loss: 2.589984E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.689 | TFLOPs: 7.44 | 7: iteration 8330/ 11269 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 2.28 | learning rate: 4.910E-05 | global batch size: 256 | lm loss: 2.583936E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.174 | TFLOPs: 7.34 | 7: iteration 8340/ 11269 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 2.31 | learning rate: 4.892E-05 | global batch size: 256 | lm loss: 2.584523E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number 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norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.061 | TFLOPs: 6.94 | 7: iteration 8410/ 11269 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 2.52 | learning rate: 4.763E-05 | global batch size: 256 | lm loss: 2.507513E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 101.530 | TFLOPs: 6.64 | 7: iteration 8420/ 11269 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 2.29 | learning rate: 4.744E-05 | global batch size: 256 | lm loss: 2.534719E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.679 | TFLOPs: 7.30 | 7: iteration 8430/ 11269 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 2.28 | learning rate: 4.726E-05 | global batch size: 256 | lm loss: 2.565599E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.466 | TFLOPs: 7.36 | 7: iteration 8440/ 11269 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 2.37 | learning rate: 4.708E-05 | global batch size: 256 | lm loss: 2.543568E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.001 | TFLOPs: 7.06 | 7: iteration 8450/ 11269 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 2.39 | learning rate: 4.690E-05 | global batch size: 256 | lm loss: 2.554974E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.321 | TFLOPs: 7.02 | 7: iteration 8460/ 11269 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 2.31 | learning rate: 4.672E-05 | global batch size: 256 | lm loss: 2.577698E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.905 | TFLOPs: 7.25 | 7: iteration 8470/ 11269 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 2.39 | learning rate: 4.654E-05 | global batch size: 256 | lm loss: 2.538978E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.959 | TFLOPs: 7.00 | 7: iteration 8480/ 11269 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 2.33 | learning rate: 4.636E-05 | global batch size: 256 | lm loss: 2.536146E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.647 | TFLOPs: 7.17 | 7: iteration 8490/ 11269 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time 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tokens: 4466933760 | elapsed time per iteration (s): 2.34 | learning rate: 4.565E-05 | global batch size: 256 | lm loss: 2.527288E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.459 | TFLOPs: 7.16 | 7: iteration 8530/ 11269 | consumed samples: 2183680 | consumed tokens: 4472176640 | elapsed time per iteration (s): 2.28 | learning rate: 4.547E-05 | global batch size: 256 | lm loss: 2.532740E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.490 | TFLOPs: 7.36 | 7: iteration 8540/ 11269 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 2.22 | learning rate: 4.529E-05 | global batch size: 256 | lm loss: 2.543522E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.127 | TFLOPs: 7.53 | 7: iteration 8550/ 11269 | 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7.24 | 7: iteration 8580/ 11269 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 2.35 | learning rate: 4.459E-05 | global batch size: 256 | lm loss: 2.549979E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.126 | TFLOPs: 7.14 | 7: iteration 8590/ 11269 | consumed samples: 2199040 | consumed tokens: 4503633920 | elapsed time per iteration (s): 2.32 | learning rate: 4.442E-05 | global batch size: 256 | lm loss: 2.577692E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.486 | TFLOPs: 7.23 | 7: iteration 8600/ 11269 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 2.38 | learning rate: 4.425E-05 | global batch size: 256 | lm loss: 2.565319E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.344 | TFLOPs: 7.02 | 7: iteration 8610/ 11269 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 2.28 | learning rate: 4.407E-05 | global batch size: 256 | lm loss: 2.539292E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.403 | TFLOPs: 7.35 | 7: iteration 8620/ 11269 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 2.28 | learning rate: 4.390E-05 | global batch size: 256 | lm loss: 2.577479E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.066 | TFLOPs: 7.33 | 7: iteration 8630/ 11269 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 2.22 | learning rate: 4.373E-05 | global batch size: 256 | lm loss: 2.530776E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.191 | TFLOPs: 7.53 | 7: iteration 8640/ 11269 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 2.27 | learning rate: 4.356E-05 | global batch size: 256 | lm loss: 2.525671E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.820 | TFLOPs: 7.38 | 7: iteration 8650/ 11269 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 2.27 | learning rate: 4.339E-05 | global batch size: 256 | lm loss: 2.516148E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.612 | TFLOPs: 7.36 | 7: iteration 8660/ 11269 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 2.31 | learning rate: 4.322E-05 | global batch size: 256 | lm loss: 2.550337E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.799 | TFLOPs: 7.25 | 7: iteration 8670/ 11269 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 2.26 | learning rate: 4.305E-05 | global batch size: 256 | lm loss: 2.540712E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.155 | TFLOPs: 7.40 | 7: iteration 8680/ 11269 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 2.28 | learning rate: 4.288E-05 | global batch size: 256 | lm loss: 2.540157E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.114 | TFLOPs: 7.33 | 7: iteration 8690/ 11269 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 2.26 | learning rate: 4.271E-05 | global batch size: 256 | lm loss: 2.527675E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.502 | TFLOPs: 7.42 | 7: iteration 8700/ 11269 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 2.28 | learning rate: 4.254E-05 | global batch size: 256 | lm loss: 2.536649E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.483 | TFLOPs: 7.36 | 7: iteration 8710/ 11269 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 2.29 | learning rate: 4.237E-05 | global batch size: 256 | lm loss: 2.521375E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.996 | TFLOPs: 7.32 | 7: iteration 8720/ 11269 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 2.21 | learning rate: 4.221E-05 | global batch size: 256 | lm loss: 2.521842E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.786 | TFLOPs: 7.57 | 7: iteration 8730/ 11269 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 2.25 | learning rate: 4.204E-05 | global batch size: 256 | lm loss: 2.566508E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.854 | TFLOPs: 7.45 | 7: iteration 8740/ 11269 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 2.24 | learning rate: 4.188E-05 | global batch size: 256 | lm loss: 2.509681E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.285 | TFLOPs: 7.47 | 7: iteration 8750/ 11269 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 2.26 | learning rate: 4.171E-05 | global batch size: 256 | lm loss: 2.554916E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.052 | TFLOPs: 7.39 | 7: iteration 8760/ 11269 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 2.50 | learning rate: 4.154E-05 | global batch size: 256 | lm loss: 2.545724E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 102.596 | TFLOPs: 6.71 | 7: iteration 8770/ 11269 | consumed samples: 2245120 | consumed tokens: 4598005760 | elapsed time per iteration (s): 2.27 | learning rate: 4.138E-05 | global batch size: 256 | lm loss: 2.513796E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.571 | TFLOPs: 7.36 | 7: iteration 8780/ 11269 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 2.23 | learning rate: 4.122E-05 | global batch size: 256 | lm loss: 2.532298E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.724 | TFLOPs: 7.50 | 7: iteration 8790/ 11269 | consumed samples: 2250240 | consumed tokens: 4608491520 | elapsed time per iteration (s): 2.27 | learning rate: 4.105E-05 | global batch size: 256 | lm loss: 2.523533E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.599 | TFLOPs: 7.36 | 7: iteration 8800/ 11269 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 2.24 | learning rate: 4.089E-05 | global batch size: 256 | lm loss: 2.546963E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.162 | TFLOPs: 7.47 | 7: iteration 8810/ 11269 | consumed samples: 2255360 | consumed tokens: 4618977280 | elapsed time per iteration (s): 2.24 | learning rate: 4.073E-05 | global batch size: 256 | lm loss: 2.525776E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.384 | TFLOPs: 7.48 | 7: iteration 8820/ 11269 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 2.30 | learning rate: 4.057E-05 | global batch size: 256 | lm loss: 2.545374E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.445 | TFLOPs: 7.29 | 7: iteration 8830/ 11269 | consumed samples: 2260480 | consumed tokens: 4629463040 | elapsed time per iteration (s): 2.24 | learning rate: 4.041E-05 | global batch size: 256 | lm loss: 2.545850E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.489 | TFLOPs: 7.49 | 7: iteration 8840/ 11269 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 2.30 | learning rate: 4.025E-05 | global batch size: 256 | lm loss: 2.552706E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.238 | TFLOPs: 7.27 | 7: iteration 8850/ 11269 | consumed samples: 2265600 | consumed tokens: 4639948800 | elapsed time per iteration (s): 2.53 | learning rate: 4.009E-05 | global batch size: 256 | lm loss: 2.533427E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 101.212 | TFLOPs: 6.62 | 7: iteration 8860/ 11269 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 2.25 | learning rate: 3.993E-05 | global batch size: 256 | lm loss: 2.545337E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.620 | TFLOPs: 7.43 | 7: iteration 8870/ 11269 | consumed samples: 2270720 | consumed tokens: 4650434560 | elapsed time per iteration (s): 2.26 | learning rate: 3.977E-05 | global batch size: 256 | lm loss: 2.521550E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.158 | TFLOPs: 7.40 | 7: iteration 8880/ 11269 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 2.24 | learning rate: 3.961E-05 | global batch size: 256 | lm loss: 2.538350E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.125 | TFLOPs: 7.46 | 7: iteration 8890/ 11269 | consumed samples: 2275840 | consumed tokens: 4660920320 | elapsed time per iteration (s): 2.25 | learning rate: 3.945E-05 | global batch size: 256 | lm loss: 2.512791E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.857 | TFLOPs: 7.45 | 7: iteration 8900/ 11269 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 2.28 | learning rate: 3.930E-05 | global batch size: 256 | lm loss: 2.546305E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.258 | TFLOPs: 7.34 | 7: iteration 8910/ 11269 | consumed samples: 2280960 | consumed tokens: 4671406080 | elapsed time per iteration (s): 2.26 | learning rate: 3.914E-05 | global batch size: 256 | lm loss: 2.538348E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.299 | TFLOPs: 7.41 | 7: iteration 8920/ 11269 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 2.29 | learning rate: 3.898E-05 | global batch size: 256 | lm loss: 2.515443E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.007 | TFLOPs: 7.33 | 7: iteration 8930/ 11269 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 2.25 | learning rate: 3.883E-05 | global batch size: 256 | lm loss: 2.525126E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.956 | TFLOPs: 7.45 | 7: iteration 8940/ 11269 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 2.25 | learning rate: 3.867E-05 | global batch size: 256 | lm loss: 2.526443E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.720 | TFLOPs: 7.44 | 7: iteration 8950/ 11269 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 2.24 | learning rate: 3.852E-05 | global batch size: 256 | lm loss: 2.536853E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.361 | TFLOPs: 7.48 | 7: iteration 8960/ 11269 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 2.23 | learning rate: 3.836E-05 | global batch size: 256 | lm loss: 2.527966E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.838 | TFLOPs: 7.51 | 7: iteration 8970/ 11269 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 2.27 | learning rate: 3.821E-05 | global batch size: 256 | lm loss: 2.534798E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.761 | TFLOPs: 7.37 | 7: iteration 8980/ 11269 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 2.24 | learning rate: 3.806E-05 | global batch size: 256 | lm loss: 2.515063E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.073 | TFLOPs: 7.46 | 7: iteration 8990/ 11269 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 2.27 | learning rate: 3.791E-05 | global batch size: 256 | lm loss: 2.520297E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.952 | TFLOPs: 7.39 | 7: iteration 9000/ 11269 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 2.24 | learning rate: 3.776E-05 | global batch size: 256 | lm loss: 2.527051E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.479 | TFLOPs: 7.49 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.405744E+00 | lm loss PPL: 1.108667E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_280m 0: [2022-11-25 02:43:29,554] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-25 02:43:29,922] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step9000/layer_01-model_00-model_states.pt... 0: [2022-11-25 02:43:31,434] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step9000/layer_01-model_00-model_states.pt. 0: [2022-11-25 02:43:31,434] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step9000/layer_03-model_00-model_states.pt... 0: [2022-11-25 02:43:31,685] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step9000/layer_03-model_00-model_states.pt. 0: [2022-11-25 02:43:31,686] [INFO] 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checkpoints_280m/global_step9000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-25 02:43:46,786] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 02:43:46,787] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step9000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-25 02:43:46,787] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step9000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-25 02:43:46,787] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 6: [2022-11-25 02:43:46,795] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step9000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-25 02:43:46,795] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoint saved checkpoints_280m/global_step9000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-25 02:43:46,855] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-25 02:43:46,882] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step9000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-25 02:43:46,882] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step9000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-25 02:43:46,882] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_280m 7: time (ms) | save-checkpoint: 18029.52 7: iteration 9010/ 11269 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 4.15 | learning rate: 3.760E-05 | global batch size: 256 | lm loss: 2.547389E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 61.638 | TFLOPs: 4.03 | 7: iteration 9020/ 11269 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 2.29 | learning rate: 3.745E-05 | global batch size: 256 | lm loss: 2.521597E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.875 | TFLOPs: 7.32 | 7: iteration 9030/ 11269 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 2.28 | learning rate: 3.730E-05 | global batch size: 256 | lm loss: 2.554130E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.374 | TFLOPs: 7.35 | 7: iteration 9040/ 11269 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 2.24 | learning rate: 3.716E-05 | global batch size: 256 | lm loss: 2.544160E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.434 | TFLOPs: 7.48 | 7: iteration 9050/ 11269 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 2.30 | learning rate: 3.701E-05 | global batch size: 256 | lm loss: 2.561569E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.347 | TFLOPs: 7.28 | 7: iteration 9060/ 11269 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 2.28 | learning rate: 3.686E-05 | global batch size: 256 | lm loss: 2.554310E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.282 | TFLOPs: 7.34 | 7: iteration 9070/ 11269 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 2.30 | learning rate: 3.671E-05 | global batch size: 256 | lm loss: 2.537583E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.150 | TFLOPs: 7.27 | 7: iteration 9080/ 11269 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 2.27 | learning rate: 3.656E-05 | global batch size: 256 | lm loss: 2.566623E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.023 | TFLOPs: 7.39 | 7: iteration 9090/ 11269 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 2.33 | learning rate: 3.642E-05 | global batch size: 256 | lm loss: 2.521608E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.890 | TFLOPs: 7.19 | 7: iteration 9100/ 11269 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 2.32 | learning rate: 3.627E-05 | global batch size: 256 | lm loss: 2.549698E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.434 | TFLOPs: 7.22 | 7: iteration 9110/ 11269 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 2.27 | learning rate: 3.613E-05 | global batch size: 256 | lm loss: 2.516048E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.837 | TFLOPs: 7.38 | 7: iteration 9120/ 11269 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 2.25 | learning rate: 3.598E-05 | global batch size: 256 | lm loss: 2.544035E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.795 | TFLOPs: 7.44 | 7: iteration 9130/ 11269 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 2.33 | learning rate: 3.584E-05 | global batch size: 256 | lm loss: 2.537185E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.880 | TFLOPs: 7.19 | 7: iteration 9140/ 11269 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 2.28 | learning rate: 3.570E-05 | global batch size: 256 | lm loss: 2.524236E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.504 | TFLOPs: 7.36 | 7: iteration 9150/ 11269 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 2.30 | learning rate: 3.555E-05 | global batch size: 256 | lm loss: 2.541855E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.112 | TFLOPs: 7.27 | 7: iteration 9160/ 11269 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 2.27 | learning rate: 3.541E-05 | global batch size: 256 | lm loss: 2.548930E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.942 | TFLOPs: 7.39 | 7: iteration 9170/ 11269 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 2.27 | learning rate: 3.527E-05 | global batch size: 256 | lm loss: 2.588728E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.579 | TFLOPs: 7.36 | 7: iteration 9180/ 11269 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 2.24 | learning rate: 3.513E-05 | global batch size: 256 | lm loss: 2.542320E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.348 | TFLOPs: 7.48 | 7: iteration 9190/ 11269 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 2.29 | learning rate: 3.499E-05 | global batch size: 256 | lm loss: 2.545564E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.815 | TFLOPs: 7.31 | 7: iteration 9200/ 11269 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 2.25 | learning rate: 3.485E-05 | global batch size: 256 | lm loss: 2.529170E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.717 | TFLOPs: 7.44 | 7: iteration 9210/ 11269 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 2.26 | learning rate: 3.471E-05 | global batch size: 256 | lm loss: 2.525352E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.384 | TFLOPs: 7.42 | 7: iteration 9220/ 11269 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 2.25 | learning rate: 3.457E-05 | global batch size: 256 | lm loss: 2.482638E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.874 | TFLOPs: 7.45 | 7: iteration 9230/ 11269 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 2.25 | learning rate: 3.443E-05 | global batch size: 256 | lm loss: 2.547542E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.017 | TFLOPs: 7.46 | 7: iteration 9240/ 11269 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 2.24 | learning rate: 3.430E-05 | global batch size: 256 | lm loss: 2.530625E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.495 | TFLOPs: 7.49 | 7: iteration 9250/ 11269 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 2.24 | learning rate: 3.416E-05 | global batch size: 256 | lm loss: 2.529192E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.278 | TFLOPs: 7.47 | 7: iteration 9260/ 11269 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 2.27 | learning rate: 3.402E-05 | global batch size: 256 | lm loss: 2.561641E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.963 | TFLOPs: 7.39 | 7: iteration 9270/ 11269 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 2.29 | learning rate: 3.389E-05 | global batch size: 256 | lm loss: 2.548019E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.984 | TFLOPs: 7.32 | 7: iteration 9280/ 11269 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 2.29 | learning rate: 3.375E-05 | global batch size: 256 | lm loss: 2.549560E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.931 | TFLOPs: 7.32 | 7: iteration 9290/ 11269 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 2.25 | learning rate: 3.362E-05 | global batch size: 256 | lm loss: 2.533037E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.913 | TFLOPs: 7.45 | 7: iteration 9300/ 11269 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 2.27 | learning rate: 3.348E-05 | global batch size: 256 | lm loss: 2.515469E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.531 | TFLOPs: 7.36 | 7: iteration 9310/ 11269 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 2.22 | learning rate: 3.335E-05 | global batch size: 256 | lm loss: 2.536206E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.420 | TFLOPs: 7.55 | 7: iteration 9320/ 11269 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 2.26 | learning rate: 3.322E-05 | global batch size: 256 | lm loss: 2.533714E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.341 | TFLOPs: 7.41 | 7: iteration 9330/ 11269 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 2.27 | learning rate: 3.309E-05 | global batch size: 256 | lm loss: 2.562185E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.898 | TFLOPs: 7.38 | 7: iteration 9340/ 11269 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 2.23 | learning rate: 3.296E-05 | global batch size: 256 | lm loss: 2.543676E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.733 | TFLOPs: 7.50 | 7: iteration 9350/ 11269 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 2.31 | learning rate: 3.282E-05 | global batch size: 256 | lm loss: 2.546501E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.868 | TFLOPs: 7.25 | 7: iteration 9360/ 11269 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 2.28 | learning rate: 3.269E-05 | global batch size: 256 | lm loss: 2.501522E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.115 | TFLOPs: 7.33 | 7: iteration 9370/ 11269 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 2.33 | learning rate: 3.257E-05 | global batch size: 256 | lm loss: 2.528439E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.639 | TFLOPs: 7.17 | 7: iteration 9380/ 11269 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 2.31 | learning rate: 3.244E-05 | global batch size: 256 | lm loss: 2.544244E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.889 | TFLOPs: 7.25 | 7: iteration 9390/ 11269 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 2.34 | learning rate: 3.231E-05 | global batch size: 256 | lm loss: 2.511885E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.511 | TFLOPs: 7.16 | 7: iteration 9400/ 11269 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 2.44 | learning rate: 3.218E-05 | global batch size: 256 | lm loss: 2.542073E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.009 | TFLOPs: 6.87 | 7: iteration 9410/ 11269 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 2.32 | learning rate: 3.205E-05 | global batch size: 256 | lm loss: 2.490315E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.495 | TFLOPs: 7.23 | 7: iteration 9420/ 11269 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 2.31 | learning rate: 3.193E-05 | global batch size: 256 | lm loss: 2.552406E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.041 | TFLOPs: 7.26 | 7: iteration 9430/ 11269 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 2.23 | learning rate: 3.180E-05 | global batch size: 256 | lm loss: 2.517240E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.934 | TFLOPs: 7.52 | 7: iteration 9440/ 11269 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 2.34 | learning rate: 3.168E-05 | global batch size: 256 | lm loss: 2.543737E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.365 | TFLOPs: 7.15 | 7: iteration 9450/ 11269 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 2.33 | learning rate: 3.155E-05 | global batch size: 256 | lm loss: 2.579022E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.855 | TFLOPs: 7.18 | 7: iteration 9460/ 11269 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 2.30 | learning rate: 3.143E-05 | global batch size: 256 | lm loss: 2.550735E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.346 | TFLOPs: 7.28 | 7: iteration 9470/ 11269 | consumed samples: 2424320 | consumed tokens: 4965007360 | elapsed time per iteration (s): 2.41 | learning rate: 3.130E-05 | global batch size: 256 | lm loss: 2.553933E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.057 | TFLOPs: 6.94 | 7: iteration 9480/ 11269 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 2.37 | learning rate: 3.118E-05 | global batch size: 256 | lm loss: 2.502264E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.091 | TFLOPs: 7.07 | 7: iteration 9490/ 11269 | consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 2.37 | learning rate: 3.106E-05 | global batch size: 256 | lm loss: 2.505714E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.238 | TFLOPs: 7.08 | 7: iteration 9500/ 11269 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 2.32 | learning rate: 3.094E-05 | global batch size: 256 | lm loss: 2.537991E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.269 | TFLOPs: 7.21 | 7: iteration 9510/ 11269 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 2.37 | learning rate: 3.082E-05 | global batch size: 256 | lm loss: 2.535304E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.148 | TFLOPs: 7.07 | 7: iteration 9520/ 11269 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time per iteration (s): 2.30 | learning rate: 3.070E-05 | global batch size: 256 | lm loss: 2.514573E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.068 | TFLOPs: 7.26 | 7: iteration 9530/ 11269 | consumed samples: 2439680 | consumed tokens: 4996464640 | elapsed time per iteration (s): 2.33 | learning rate: 3.058E-05 | global batch size: 256 | lm loss: 2.554082E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.905 | TFLOPs: 7.19 | 7: iteration 9540/ 11269 | consumed samples: 2442240 | consumed tokens: 5001707520 | elapsed time per iteration (s): 2.35 | learning rate: 3.046E-05 | global batch size: 256 | lm loss: 2.552877E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.933 | TFLOPs: 7.12 | 7: iteration 9550/ 11269 | consumed samples: 2444800 | consumed tokens: 5006950400 | elapsed time per iteration (s): 2.40 | learning rate: 3.034E-05 | global batch size: 256 | lm loss: 2.545695E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.586 | TFLOPs: 6.97 | 7: iteration 9560/ 11269 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 2.25 | learning rate: 3.022E-05 | global batch size: 256 | lm loss: 2.540213E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.782 | TFLOPs: 7.44 | 7: iteration 9570/ 11269 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 2.36 | learning rate: 3.011E-05 | global batch size: 256 | lm loss: 2.472030E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.679 | TFLOPs: 7.11 | 7: iteration 9580/ 11269 | consumed samples: 2452480 | consumed tokens: 5022679040 | elapsed time per iteration (s): 2.34 | learning rate: 2.999E-05 | global batch size: 256 | lm loss: 2.536656E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.322 | TFLOPs: 7.15 | 7: iteration 9590/ 11269 | consumed samples: 2455040 | consumed tokens: 5027921920 | elapsed time per iteration (s): 2.28 | learning rate: 2.987E-05 | global batch size: 256 | lm loss: 2.505385E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.392 | TFLOPs: 7.35 | 7: iteration 9600/ 11269 | consumed samples: 2457600 | consumed tokens: 5033164800 | elapsed time per iteration (s): 2.29 | learning rate: 2.976E-05 | global batch size: 256 | lm loss: 2.513601E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.992 | TFLOPs: 7.32 | 7: iteration 9610/ 11269 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 2.29 | learning rate: 2.964E-05 | global batch size: 256 | lm loss: 2.510097E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.010 | TFLOPs: 7.33 | 7: iteration 9620/ 11269 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 2.40 | learning rate: 2.953E-05 | global batch size: 256 | lm loss: 2.573044E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.747 | TFLOPs: 6.98 | 7: iteration 9630/ 11269 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 2.36 | learning rate: 2.942E-05 | global batch size: 256 | lm loss: 2.544519E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.629 | TFLOPs: 7.10 | 7: iteration 9640/ 11269 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 2.26 | learning rate: 2.930E-05 | global batch size: 256 | lm loss: 2.499818E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.511 | TFLOPs: 7.42 | 7: iteration 9650/ 11269 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 2.35 | learning rate: 2.919E-05 | global batch size: 256 | lm loss: 2.538843E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.914 | TFLOPs: 7.12 | 7: iteration 9660/ 11269 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 2.26 | learning rate: 2.908E-05 | global batch size: 256 | lm loss: 2.541669E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.134 | TFLOPs: 7.40 | 7: iteration 9670/ 11269 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 2.28 | learning rate: 2.897E-05 | global batch size: 256 | lm loss: 2.511540E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.273 | TFLOPs: 7.34 | 7: iteration 9680/ 11269 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 2.36 | learning rate: 2.886E-05 | global batch size: 256 | lm loss: 2.514542E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.607 | TFLOPs: 7.10 | 7: iteration 9690/ 11269 | consumed samples: 2480640 | consumed tokens: 5080350720 | elapsed time per iteration (s): 2.28 | learning rate: 2.875E-05 | global batch size: 256 | lm loss: 2.515444E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.119 | TFLOPs: 7.33 | 7: iteration 9700/ 11269 | consumed samples: 2483200 | consumed tokens: 5085593600 | elapsed time per iteration (s): 2.25 | learning rate: 2.864E-05 | global batch size: 256 | lm loss: 2.526145E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.629 | TFLOPs: 7.43 | 7: 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of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.444 | TFLOPs: 7.42 | 7: iteration 9800/ 11269 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 2.30 | learning rate: 2.759E-05 | global batch size: 256 | lm loss: 2.540537E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.360 | TFLOPs: 7.28 | 7: iteration 9810/ 11269 | consumed samples: 2511360 | consumed tokens: 5143265280 | elapsed time per iteration (s): 2.25 | learning rate: 2.749E-05 | global batch size: 256 | lm loss: 2.535700E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.635 | TFLOPs: 7.43 | 7: iteration 9820/ 11269 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 2.26 | learning rate: 2.739E-05 | global batch size: 256 | lm loss: 2.508367E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.099 | TFLOPs: 7.40 | 7: iteration 9830/ 11269 | consumed samples: 2516480 | consumed tokens: 5153751040 | elapsed time per iteration (s): 2.23 | learning rate: 2.729E-05 | global batch size: 256 | lm loss: 2.535744E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.641 | TFLOPs: 7.50 | 7: iteration 9840/ 11269 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 2.25 | learning rate: 2.719E-05 | global batch size: 256 | lm loss: 2.489908E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.988 | TFLOPs: 7.45 | 7: iteration 9850/ 11269 | consumed samples: 2521600 | consumed tokens: 5164236800 | elapsed time per iteration (s): 2.26 | learning rate: 2.709E-05 | global batch size: 256 | lm loss: 2.533950E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.387 | TFLOPs: 7.42 | 7: iteration 9860/ 11269 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 2.52 | learning rate: 2.699E-05 | global batch size: 256 | lm loss: 2.549792E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 101.502 | TFLOPs: 6.64 | 7: iteration 9870/ 11269 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 2.28 | learning rate: 2.689E-05 | global batch size: 256 | lm loss: 2.493154E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.047 | TFLOPs: 7.33 | 7: iteration 9880/ 11269 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 2.27 | learning 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per iteration (s): 2.24 | learning rate: 2.651E-05 | global batch size: 256 | lm loss: 2.536549E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.257 | TFLOPs: 7.47 | 7: iteration 9920/ 11269 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 2.24 | learning rate: 2.642E-05 | global batch size: 256 | lm loss: 2.562557E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.114 | TFLOPs: 7.46 | 7: iteration 9930/ 11269 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 2.24 | learning rate: 2.632E-05 | global batch size: 256 | lm loss: 2.533957E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.198 | TFLOPs: 7.47 | 7: iteration 9940/ 11269 | consumed samples: 2544640 | consumed 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consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 2.27 | learning rate: 2.595E-05 | global batch size: 256 | lm loss: 2.496568E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.958 | TFLOPs: 7.39 | 7: iteration 9980/ 11269 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 2.21 | learning rate: 2.586E-05 | global batch size: 256 | lm loss: 2.547223E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.098 | TFLOPs: 7.59 | 7: iteration 9990/ 11269 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 2.25 | learning rate: 2.577E-05 | global batch size: 256 | lm loss: 2.547042E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.641 | TFLOPs: 7.43 | 0: [2022-11-25 03:21:54,429] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[2.568592118488235e-05, 2.568592118488235e-05, 2.568592118488235e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 11269 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 2.26 | learning rate: 2.569E-05 | global batch size: 256 | lm loss: 2.551108E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.495 | TFLOPs: 7.42 | 0: steps: 10000 loss: 2.5183 iter time (s): 2.281 samples/sec: 112.244 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.446072E+00 | lm loss PPL: 1.154292E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_280m 0: [2022-11-25 03:21:56,127] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-25 03:21:56,553] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step10000/layer_01-model_00-model_states.pt... 0: [2022-11-25 03:21:57,862] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/layer_01-model_00-model_states.pt. 0: [2022-11-25 03:21:57,862] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step10000/layer_03-model_00-model_states.pt... 0: [2022-11-25 03:21:58,117] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/layer_03-model_00-model_states.pt. 0: [2022-11-25 03:21:58,118] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step10000/layer_04-model_00-model_states.pt... 0: [2022-11-25 03:21:58,377] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 7: [2022-11-25 03:22:12,379] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2022-11-25 03:22:12,383] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-25 03:22:12,385] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: [2022-11-25 03:22:12,389] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-25 03:22:12,389] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-25 03:22:12,389] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is 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checkpoints_280m/global_step10000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-25 03:22:12,480] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-25 03:22:12,485] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-25 03:22:12,485] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-25 03:22:12,485] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 1: [2022-11-25 03:22:12,489] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-25 03:22:12,490] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-25 03:22:12,490] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-25 03:22:12,492] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-25 03:22:12,492] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-25 03:22:12,492] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2022-11-25 03:22:12,492] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-25 03:22:12,493] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-25 03:22:12,493] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-25 03:22:12,494] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-25 03:22:12,494] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-25 03:22:12,494] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2022-11-25 03:22:12,465] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 03:22:12,465] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 03:22:12,465] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-25 03:22:12,501] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-25 03:22:12,501] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-25 03:22:12,501] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-25 03:22:12,516] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-25 03:22:12,516] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-25 03:22:12,516] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-25 03:22:12,527] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-25 03:22:12,527] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 03:22:12,527] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-25 03:22:12,552] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-25 03:22:12,552] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-25 03:22:12,552] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2022-11-25 03:22:12,574] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-25 03:22:12,574] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step10000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-25 03:22:12,574] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_280m 7: time (ms) | save-checkpoint: 17064.89 7: iteration 10010/ 11269 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 4.04 | learning rate: 2.560E-05 | global batch size: 256 | lm loss: 2.521200E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 63.379 | TFLOPs: 4.14 | 7: iteration 10020/ 11269 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 2.26 | learning rate: 2.551E-05 | global batch size: 256 | lm loss: 2.547071E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.126 | TFLOPs: 7.40 | 7: iteration 10030/ 11269 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 2.27 | learning rate: 2.542E-05 | global batch size: 256 | lm loss: 2.548577E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.859 | TFLOPs: 7.38 | 7: iteration 10040/ 11269 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 2.33 | learning rate: 2.534E-05 | global batch size: 256 | lm loss: 2.547085E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.946 | TFLOPs: 7.19 | 7: iteration 10050/ 11269 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 2.24 | learning rate: 2.525E-05 | global batch size: 256 | lm loss: 2.524449E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.420 | TFLOPs: 7.48 | 7: iteration 10060/ 11269 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 2.24 | learning rate: 2.517E-05 | global batch size: 256 | lm loss: 2.530209E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.479 | TFLOPs: 7.49 | 7: iteration 10070/ 11269 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 2.26 | learning rate: 2.508E-05 | global batch size: 256 | lm loss: 2.531757E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.472 | TFLOPs: 7.42 | 7: iteration 10080/ 11269 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 2.30 | learning rate: 2.500E-05 | global batch size: 256 | lm loss: 2.493664E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.272 | TFLOPs: 7.28 | 7: iteration 10090/ 11269 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 2.35 | learning rate: 2.492E-05 | global batch size: 256 | lm loss: 2.507342E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.720 | TFLOPs: 7.11 | 7: iteration 10100/ 11269 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 2.29 | learning rate: 2.483E-05 | global batch size: 256 | lm loss: 2.538652E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.935 | TFLOPs: 7.32 | 7: iteration 10110/ 11269 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 2.26 | learning rate: 2.475E-05 | global batch size: 256 | lm loss: 2.512700E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.216 | TFLOPs: 7.40 | 7: iteration 10120/ 11269 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 2.22 | learning rate: 2.467E-05 | global batch size: 256 | lm loss: 2.498510E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.294 | TFLOPs: 7.54 | 7: iteration 10130/ 11269 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 2.28 | learning rate: 2.459E-05 | global batch size: 256 | lm loss: 2.524500E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.138 | TFLOPs: 7.33 | 7: iteration 10140/ 11269 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 2.34 | learning rate: 2.451E-05 | global batch size: 256 | lm loss: 2.535876E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.268 | TFLOPs: 7.15 | 7: iteration 10150/ 11269 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 2.28 | learning rate: 2.443E-05 | global batch size: 256 | lm loss: 2.504461E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.062 | TFLOPs: 7.33 | 7: iteration 10160/ 11269 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 2.25 | learning rate: 2.435E-05 | global batch size: 256 | lm loss: 2.523547E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.723 | TFLOPs: 7.44 | 7: iteration 10170/ 11269 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 2.30 | learning rate: 2.428E-05 | global batch size: 256 | lm loss: 2.547295E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.201 | TFLOPs: 7.27 | 7: iteration 10180/ 11269 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 2.31 | learning rate: 2.420E-05 | global batch size: 256 | lm loss: 2.519128E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.912 | TFLOPs: 7.25 | 7: iteration 10190/ 11269 | consumed samples: 2608640 | consumed tokens: 5342494720 | elapsed time per iteration (s): 2.24 | learning rate: 2.412E-05 | global batch size: 256 | lm loss: 2.532675E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.092 | TFLOPs: 7.46 | 7: iteration 10200/ 11269 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 2.24 | learning rate: 2.405E-05 | global batch size: 256 | lm loss: 2.519134E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.043 | TFLOPs: 7.46 | 7: iteration 10210/ 11269 | consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 2.28 | learning rate: 2.397E-05 | global batch size: 256 | lm loss: 2.521961E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.197 | TFLOPs: 7.34 | 7: iteration 10220/ 11269 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 2.27 | learning rate: 2.390E-05 | global batch size: 256 | lm loss: 2.502684E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.734 | TFLOPs: 7.37 | 7: iteration 10230/ 11269 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 2.29 | learning rate: 2.383E-05 | global batch size: 256 | lm loss: 2.519956E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.938 | TFLOPs: 7.32 | 7: iteration 10240/ 11269 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 2.26 | learning rate: 2.375E-05 | global batch size: 256 | lm loss: 2.537540E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.423 | TFLOPs: 7.42 | 7: iteration 10250/ 11269 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 2.24 | learning rate: 2.368E-05 | global batch size: 256 | lm loss: 2.526248E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.159 | TFLOPs: 7.47 | 7: iteration 10260/ 11269 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 2.26 | learning rate: 2.361E-05 | global batch size: 256 | lm loss: 2.497947E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.285 | TFLOPs: 7.41 | 7: iteration 10270/ 11269 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 2.29 | learning rate: 2.354E-05 | global batch size: 256 | lm loss: 2.523944E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.846 | TFLOPs: 7.31 | 7: iteration 10280/ 11269 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 2.23 | learning rate: 2.347E-05 | global batch size: 256 | lm loss: 2.533037E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.836 | TFLOPs: 7.51 | 7: iteration 10290/ 11269 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 2.32 | learning rate: 2.340E-05 | global batch size: 256 | lm loss: 2.546424E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.570 | TFLOPs: 7.23 | 7: iteration 10300/ 11269 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 2.27 | learning rate: 2.333E-05 | global batch size: 256 | lm loss: 2.500032E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.593 | TFLOPs: 7.36 | 7: iteration 10310/ 11269 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 2.34 | learning rate: 2.326E-05 | global batch size: 256 | lm loss: 2.532182E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.399 | TFLOPs: 7.15 | 7: iteration 10320/ 11269 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 2.27 | learning rate: 2.319E-05 | global batch size: 256 | lm loss: 2.552126E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.653 | TFLOPs: 7.37 | 7: iteration 10330/ 11269 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 2.25 | learning rate: 2.313E-05 | global batch size: 256 | lm loss: 2.510014E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.012 | TFLOPs: 7.46 | 7: iteration 10340/ 11269 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 2.24 | learning rate: 2.306E-05 | global batch size: 256 | lm loss: 2.551931E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.035 | TFLOPs: 7.46 | 7: iteration 10350/ 11269 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 2.26 | learning rate: 2.300E-05 | global batch size: 256 | lm loss: 2.523516E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.503 | TFLOPs: 7.42 | 7: iteration 10360/ 11269 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 2.26 | learning rate: 2.293E-05 | global batch size: 256 | lm loss: 2.530371E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.298 | TFLOPs: 7.41 | 7: iteration 10370/ 11269 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 2.27 | learning rate: 2.287E-05 | global batch size: 256 | lm loss: 2.524027E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.023 | TFLOPs: 7.39 | 7: iteration 10380/ 11269 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 2.30 | learning rate: 2.281E-05 | global batch size: 256 | lm loss: 2.518559E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.353 | TFLOPs: 7.28 | 7: iteration 10390/ 11269 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 2.25 | learning rate: 2.274E-05 | global batch size: 256 | lm loss: 2.508806E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.645 | TFLOPs: 7.43 | 7: iteration 10400/ 11269 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 2.29 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 2.522946E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.729 | TFLOPs: 7.31 | 7: iteration 10410/ 11269 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 2.28 | learning rate: 2.262E-05 | global batch size: 256 | lm loss: 2.512196E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.241 | TFLOPs: 7.34 | 7: iteration 10420/ 11269 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 2.29 | learning rate: 2.256E-05 | global batch size: 256 | lm loss: 2.536868E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.671 | TFLOPs: 7.30 | 7: iteration 10430/ 11269 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 2.31 | learning rate: 2.250E-05 | global batch size: 256 | lm loss: 2.532105E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.650 | TFLOPs: 7.24 | 7: iteration 10440/ 11269 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 2.35 | learning rate: 2.244E-05 | global batch size: 256 | lm loss: 2.520939E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.128 | TFLOPs: 7.14 | 7: iteration 10450/ 11269 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 2.27 | learning rate: 2.238E-05 | global batch size: 256 | lm loss: 2.509603E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.691 | TFLOPs: 7.37 | 7: iteration 10460/ 11269 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 2.31 | learning rate: 2.233E-05 | global batch size: 256 | lm loss: 2.517702E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.858 | TFLOPs: 7.25 | 7: iteration 10470/ 11269 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 2.31 | learning rate: 2.227E-05 | global batch size: 256 | lm loss: 2.521698E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.023 | TFLOPs: 7.26 | 7: iteration 10480/ 11269 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 2.28 | learning rate: 2.221E-05 | global batch size: 256 | lm loss: 2.516444E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.392 | TFLOPs: 7.35 | 7: iteration 10490/ 11269 | consumed samples: 2685440 | consumed tokens: 5499781120 | elapsed time per iteration (s): 2.35 | learning rate: 2.216E-05 | global batch size: 256 | lm loss: 2.512588E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.852 | TFLOPs: 7.12 | 7: iteration 10500/ 11269 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 2.45 | learning rate: 2.210E-05 | global batch size: 256 | lm loss: 2.515495E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.388 | TFLOPs: 6.83 | 7: iteration 10510/ 11269 | consumed samples: 2690560 | consumed tokens: 5510266880 | elapsed time per iteration (s): 2.30 | learning rate: 2.205E-05 | global batch size: 256 | lm loss: 2.533187E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.309 | TFLOPs: 7.28 | 7: iteration 10520/ 11269 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 2.35 | learning rate: 2.199E-05 | global batch size: 256 | lm loss: 2.566232E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.016 | TFLOPs: 7.13 | 7: iteration 10530/ 11269 | consumed samples: 2695680 | consumed tokens: 5520752640 | elapsed time per iteration (s): 2.41 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.520023E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 106.364 | TFLOPs: 6.96 | 7: iteration 10540/ 11269 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 2.38 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.513339E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.589 | TFLOPs: 7.04 | 7: iteration 10550/ 11269 | consumed samples: 2700800 | consumed tokens: 5531238400 | elapsed time per iteration (s): 2.29 | learning rate: 2.184E-05 | global batch size: 256 | lm loss: 2.501830E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.874 | TFLOPs: 7.32 | 7: iteration 10560/ 11269 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 2.35 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 2.509724E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.908 | TFLOPs: 7.12 | 7: iteration 10570/ 11269 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 2.32 | learning rate: 2.174E-05 | global batch size: 256 | lm loss: 2.508075E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.347 | TFLOPs: 7.22 | 7: iteration 10580/ 11269 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 2.37 | learning rate: 2.169E-05 | global batch size: 256 | lm loss: 2.513324E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 107.792 | TFLOPs: 7.05 | 7: iteration 10590/ 11269 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 2.36 | learning rate: 2.164E-05 | global batch size: 256 | lm loss: 2.548214E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 108.463 | TFLOPs: 7.09 | 7: iteration 10600/ 11269 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 2.33 | learning rate: 2.159E-05 | global batch size: 256 | lm loss: 2.509964E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.978 | TFLOPs: 7.19 | 7: iteration 10610/ 11269 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 2.28 | learning rate: 2.155E-05 | global batch size: 256 | lm loss: 2.491097E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.288 | TFLOPs: 7.34 | 7: iteration 10620/ 11269 | consumed samples: 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number of nan iterations: 0 | samples per second: 108.747 | TFLOPs: 7.11 | 7: iteration 10710/ 11269 | consumed samples: 2741760 | consumed tokens: 5615124480 | elapsed time per iteration (s): 2.27 | learning rate: 2.111E-05 | global batch size: 256 | lm loss: 2.537173E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.554 | TFLOPs: 7.36 | 7: iteration 10720/ 11269 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 2.23 | learning rate: 2.107E-05 | global batch size: 256 | lm loss: 2.546954E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.743 | TFLOPs: 7.50 | 7: iteration 10730/ 11269 | consumed samples: 2746880 | consumed tokens: 5625610240 | elapsed time per iteration (s): 2.30 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.513033E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.219 | TFLOPs: 7.27 | 7: iteration 10740/ 11269 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 2.28 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 2.492731E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.039 | TFLOPs: 7.33 | 7: iteration 10750/ 11269 | consumed samples: 2752000 | consumed tokens: 5636096000 | elapsed time per iteration (s): 2.33 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.519279E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.746 | TFLOPs: 7.18 | 7: iteration 10760/ 11269 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 2.28 | learning rate: 2.092E-05 | global batch size: 256 | lm loss: 2.522850E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.519 | TFLOPs: 7.36 | 7: iteration 10770/ 11269 | consumed samples: 2757120 | consumed tokens: 5646581760 | elapsed time per iteration (s): 2.27 | learning rate: 2.089E-05 | global batch size: 256 | lm loss: 2.485907E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.689 | TFLOPs: 7.37 | 7: iteration 10780/ 11269 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 2.23 | learning rate: 2.085E-05 | global batch size: 256 | lm loss: 2.479832E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.780 | TFLOPs: 7.51 | 7: iteration 10790/ 11269 | consumed samples: 2762240 | consumed tokens: 5657067520 | elapsed time per iteration (s): 2.29 | learning rate: 2.082E-05 | global batch size: 256 | lm loss: 2.529190E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.839 | TFLOPs: 7.31 | 7: iteration 10800/ 11269 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 2.22 | learning rate: 2.078E-05 | global batch size: 256 | lm loss: 2.490986E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.064 | TFLOPs: 7.53 | 7: iteration 10810/ 11269 | consumed samples: 2767360 | consumed tokens: 5667553280 | elapsed time per iteration (s): 2.25 | learning rate: 2.075E-05 | global batch size: 256 | lm loss: 2.501706E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.999 | TFLOPs: 7.46 | 7: iteration 10820/ 11269 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 2.26 | learning rate: 2.072E-05 | global batch size: 256 | lm loss: 2.510022E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.203 | TFLOPs: 7.40 | 7: iteration 10830/ 11269 | consumed samples: 2772480 | consumed tokens: 5678039040 | elapsed time per iteration (s): 2.26 | learning rate: 2.069E-05 | global batch size: 256 | lm loss: 2.517346E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.308 | TFLOPs: 7.41 | 7: iteration 10840/ 11269 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 2.24 | learning rate: 2.066E-05 | global batch size: 256 | lm loss: 2.510421E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.394 | TFLOPs: 7.48 | 7: iteration 10850/ 11269 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 2.42 | learning rate: 2.063E-05 | global batch size: 256 | lm loss: 2.476356E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.755 | TFLOPs: 6.92 | 7: iteration 10860/ 11269 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 2.25 | learning rate: 2.060E-05 | global batch size: 256 | lm loss: 2.542738E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.900 | TFLOPs: 7.45 | 7: iteration 10870/ 11269 | consumed samples: 2782720 | consumed tokens: 5699010560 | elapsed time per iteration (s): 2.26 | learning rate: 2.057E-05 | global batch size: 256 | lm loss: 2.520384E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.375 | TFLOPs: 7.41 | 7: iteration 10880/ 11269 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 2.24 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.532728E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.248 | TFLOPs: 7.47 | 7: iteration 10890/ 11269 | consumed samples: 2787840 | consumed tokens: 5709496320 | elapsed time per iteration (s): 2.26 | learning rate: 2.051E-05 | global batch size: 256 | lm loss: 2.515358E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.338 | TFLOPs: 7.41 | 7: iteration 10900/ 11269 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 2.25 | learning rate: 2.049E-05 | global batch size: 256 | lm loss: 2.506984E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.865 | TFLOPs: 7.45 | 7: iteration 10910/ 11269 | consumed samples: 2792960 | consumed tokens: 5719982080 | elapsed time per iteration (s): 2.20 | learning rate: 2.046E-05 | global batch size: 256 | lm loss: 2.541094E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.221 | TFLOPs: 7.60 | 7: iteration 10920/ 11269 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 2.30 | learning rate: 2.043E-05 | global batch size: 256 | lm loss: 2.489325E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.409 | TFLOPs: 7.29 | 7: iteration 10930/ 11269 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 2.25 | learning rate: 2.041E-05 | global batch size: 256 | lm loss: 2.499416E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.684 | TFLOPs: 7.43 | 7: iteration 10940/ 11269 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 2.23 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.471646E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.580 | TFLOPs: 7.49 | 7: iteration 10950/ 11269 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 2.31 | learning rate: 2.036E-05 | global batch size: 256 | lm loss: 2.533722E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.945 | TFLOPs: 7.26 | 7: iteration 10960/ 11269 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 2.28 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.505026E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.412 | TFLOPs: 7.35 | 7: iteration 10970/ 11269 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 2.25 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.512362E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.995 | TFLOPs: 7.46 | 7: iteration 10980/ 11269 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 2.28 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.509363E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.510 | TFLOPs: 7.36 | 7: iteration 10990/ 11269 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 2.28 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.520381E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.211 | TFLOPs: 7.34 | 7: iteration 11000/ 11269 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 2.30 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.518743E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.351 | TFLOPs: 7.28 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 11000 | lm loss value: 2.436549E+00 | lm loss PPL: 1.143351E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 11000 to checkpoints_280m 0: [2022-11-25 04:00:20,014] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save! 0: [2022-11-25 04:00:20,409] [INFO] 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11010/ 11269 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 4.08 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.496660E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 62.809 | TFLOPs: 4.11 | 7: iteration 11020/ 11269 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 2.25 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.548933E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.816 | TFLOPs: 7.44 | 7: iteration 11030/ 11269 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 2.22 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.483917E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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nan iterations: 0 | samples per second: 112.934 | TFLOPs: 7.39 | 7: iteration 11070/ 11269 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 2.28 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.501941E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.377 | TFLOPs: 7.35 | 7: iteration 11080/ 11269 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 2.32 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.521435E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.372 | TFLOPs: 7.22 | 7: iteration 11090/ 11269 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 2.30 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.502811E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.475 | TFLOPs: 7.29 | 7: iteration 11100/ 11269 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 2.28 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.530215E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.073 | TFLOPs: 7.33 | 7: iteration 11110/ 11269 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 2.30 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.537469E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 111.209 | TFLOPs: 7.27 | 7: iteration 11120/ 11269 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 2.28 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.523269E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.056 | TFLOPs: 7.33 | 7: iteration 11130/ 11269 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 2.32 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.486594E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.433 | TFLOPs: 7.22 | 7: iteration 11140/ 11269 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 2.27 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.515080E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.557 | TFLOPs: 7.36 | 7: iteration 11150/ 11269 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 2.26 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.502784E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.275 | TFLOPs: 7.41 | 7: iteration 11160/ 11269 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 2.33 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.521762E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 109.983 | TFLOPs: 7.19 | 7: iteration 11170/ 11269 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 2.25 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.511346E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.991 | TFLOPs: 7.46 | 7: iteration 11180/ 11269 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 2.27 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.516895E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.707 | TFLOPs: 7.37 | 7: iteration 11190/ 11269 | consumed samples: 2864640 | consumed tokens: 5866782720 | elapsed time per iteration (s): 2.27 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.463066E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.800 | TFLOPs: 7.38 | 7: iteration 11200/ 11269 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 2.32 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.557611E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.321 | TFLOPs: 7.21 | 7: iteration 11210/ 11269 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 2.26 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.517345E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 113.174 | TFLOPs: 7.40 | 7: iteration 11220/ 11269 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 2.32 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.541922E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.543 | TFLOPs: 7.23 | 7: iteration 11230/ 11269 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 2.20 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.525832E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.515 | TFLOPs: 7.62 | 7: iteration 11240/ 11269 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 2.24 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.534830E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.128 | TFLOPs: 7.46 | 7: iteration 11250/ 11269 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 2.27 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.525311E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.734 | TFLOPs: 7.37 | 7: iteration 11260/ 11269 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 2.31 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.510416E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 110.872 | TFLOPs: 7.25 | 0: [after training is done] datetime: 2022-11-25 04:10:49 7: ------------------------------------------------------------------------------------------------------------ 7: valid loss at the end of training for val data | lm loss value: 2.486469E+00 | lm loss PPL: 1.201876E+01 | 7: ------------------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 11269 to checkpoints_280m 0: [2022-11-25 04:10:50,409] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11269 is begin to save! 0: [2022-11-25 04:10:50,679] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280m/global_step11269/layer_01-model_00-model_states.pt... 0: [2022-11-25 04:10:52,005] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step11269/layer_01-model_00-model_states.pt. 0: [2022-11-25 04:10:52,006] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_280m/global_step11269/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-25 04:11:07,001] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-25 04:11:07,001] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-25 04:11:07,013] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-25 04:11:07,013] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-25 04:11:07,013] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-25 04:11:07,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-25 04:11:07,025] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-25 04:11:07,025] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-25 04:11:07,038] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-25 04:11:07,038] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-25 04:11:07,038] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-25 04:11:07,050] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-25 04:11:07,050] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-25 04:11:07,050] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-25 04:11:07,060] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-25 04:11:07,060] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-25 04:11:07,060] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-25 04:11:07,070] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-25 04:11:07,070] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280m/global_step11269/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-25 04:11:07,070] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 0: successfully saved checkpoint at iteration 11269 to checkpoints_280m 7: ------------------------------------------------------------------------------------------------------------ 7: test loss at the end of training for test data | lm loss value: 2.441951E+00 | lm loss PPL: 1.149544E+01 | 7: ------------------------------------------------------------------------------------------------------------ END 2068493: Fri Nov 25 04:11:32 EET 2022