Model parameters: d_model 768 ffw_size 3072 kv_size 64 n_heads 12 n_layers 15 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 15 --hidden-size 768 --num-attention-heads 12 --kv-channels 64 --ffn-hidden-size 3072 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 1_308_594 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-146m2b7100mdedup --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 1_308_594 --lr-warmup-samples 13_086 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_146m2b7100mdedup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_146m2b7100mdedup --load checkpoints_146m2b7100mdedup --train-weighted-split-paths-path train100mdedup.txt --valid-weighted-split-paths-path val.txt --data-impl mmap --deepspeed --deepspeed_config ds_configs/3326957.json --zero-stage 0 START 3326957: Thu 16 Mar 2023 11:52:33 PM EET 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 55.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 42.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= 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 50.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 37.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 38.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 42.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 42.0c 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 ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 51.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 44.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 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 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 44.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 44.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= 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 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 53.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 49.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 44.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 46.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 45.0c 81.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 42.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 46.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 45.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 45.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 43.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 1: Launching on nid006710 (1/8), master nid006709 port 9999, GPUs 8, CUDA: True 3: Launching on nid006712 (3/8), master nid006709 port 9999, GPUs 8, CUDA: True 0: Launching on nid006709 (0/8), master nid006709 port 9999, GPUs 8, CUDA: True 6: Launching on nid006715 (6/8), master nid006709 port 9999, GPUs 8, CUDA: True 7: Launching on nid006716 (7/8), master nid006709 port 9999, GPUs 8, CUDA: True 5: Launching on nid006714 (5/8), master nid006709 port 9999, GPUs 8, CUDA: True 2: Launching on nid006711 (2/8), master nid006709 port 9999, GPUs 8, CUDA: True 4: Launching on nid006713 (4/8), master nid006709 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 ....................................... None 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/3326957.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 1000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 3072 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 768 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-146m2b7100mdedup 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_146m2b7100mdedup 0: local_rank ...................................... None 0: log_batch_size_to_tensorboard ................... True 0: log_interval .................................... 10 0: log_learning_rate_to_tensorboard ................ True 0: log_level ....................................... None 0: log_level_replica ............................... None 0: log_loss_scale_to_tensorboard ................... True 0: log_num_zeros_in_grad ........................... False 0: log_params_norm ................................. False 0: log_path ........................................ None 0: log_timers_to_tensorboard ....................... True 0: log_validation_ppl_to_tensorboard ............... True 0: loss_on_targets_only ............................ False 0: loss_scale ...................................... None 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 1308594 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 13086 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 4 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 12 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 15 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: reset_progress .................................. None 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_146m2b7100mdedup 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 ........................................... None 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_146m2b7100mdedup 0: tensorboard_log_interval ........................ 1 0: tensorboard_queue_size .......................... 5 0: test_weighted_split_paths ....................... None 0: test_weighted_split_paths_path .................. 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 ................................... 1308594 0: train_tokens .................................... None 0: train_weighted_split_names ...................... ['train'] 0: train_weighted_split_paths ...................... [['/scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document']] 0: train_weighted_split_paths_path ................. None 0: train_weighted_split_splits ..................... [['0:1']] 0: train_weighted_split_weights .................... [['1.0']] 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 ...................... ['validation'] 0: valid_weighted_split_paths ...................... [['/scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document']] 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... [['0:1']] 0: valid_weighted_split_weights .................... [['1.0']] 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 7: > setting tensorboard ... 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2023-03-16 23:54:34,596] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 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: 0.102 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.cuda.o scaled_upper_triang_masked_softmax_hip.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: [1/1] c++ scaled_masked_softmax_hip.o scaled_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_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: ninja: no work to do. 0: >>> done with compiling and loading fused kernels. Compilation time: 28.299 seconds 0: time to initialize megatron (seconds): 57.799 0: [after megatron is initialized] datetime: 2023-03-16 23:55:05 0: building GPT model ... 0: [2023-03-16 23:55:05,937] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2023-03-16 23:55:05,938] [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: [2023-03-16 23:55:05,938] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.44 GB, percent = 6.2% 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: [2023-03-16 23:55:07,941] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=22 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: undo 0: 19: MixedFusedLayerNorm 0: 20: EmbeddingPipe 0: 21: float16_to_fp32 0: loss: CrossEntropy 0: [2023-03-16 23:55:08,306] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2023-03-16 23:55:08,307] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.28 GB CA 0.29 GB Max_CA 0 GB 0: [2023-03-16 23:55:08,307] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.46 GB, percent = 6.3% 0: setting training iterations to 5111 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2023-03-16 23:55:08,309] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2023-03-16 23:55:21,492] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2023-03-16 23:55:21,493] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2023-03-16 23:55:21,493] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2023-03-16 23:55:21,503] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2023-03-16 23:55:21,503] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2023-03-16 23:55:21,625] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2023-03-16 23:55:21,626] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.29 GB CA 0.31 GB Max_CA 0 GB 0: [2023-03-16 23:55:21,626] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.14 GB, percent = 6.4% 4: Time to load utils op: 0.3164188861846924 seconds 4: Time to load utils op: 0.3463273048400879 seconds 4: Time to load utils op: 0.3156251907348633 seconds 4: Time to load utils op: 0.31646227836608887 seconds 4: Time to load utils op: 0.31636929512023926 secondsTime to load utils op: 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0.0009181499481201172 seconds 1: Time to load utils op: 0.0013120174407958984 secondsTime to load utils op: 0.0012841224670410156 secondsTime to load utils op: 0.0012881755828857422 seconds 1: 1: 6: Time to load utils op: 0.0010044574737548828 seconds 1: Time to load utils op: 0.001379251480102539 seconds 6: Time to load utils op: 0.001107931137084961 secondsTime to load utils op: 0.0010726451873779297 seconds 6: Time to load utils op: 0.001058816909790039 secondsTime to load utils op: 0.001070261001586914 seconds 6: 6: 6: Time to load utils op: 0.0010962486267089844 seconds 6: Time to load utils op: 0.0011429786682128906 seconds 0: [2023-03-16 23:55:21,984] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2023-03-16 23:55:21,984] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.28 GB CA 0.31 GB Max_CA 0 GB 0: [2023-03-16 23:55:21,985] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,108] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2023-03-16 23:55:22,109] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,109] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,213] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2023-03-16 23:55:22,214] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,214] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,318] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2023-03-16 23:55:22,319] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,319] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,422] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2023-03-16 23:55:22,422] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,423] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,527] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2023-03-16 23:55:22,527] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,527] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,629] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2023-03-16 23:55:22,629] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,629] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,738] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2023-03-16 23:55:22,738] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,739] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,842] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2023-03-16 23:55:22,843] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-16 23:55:22,843] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.29 GB, percent = 6.4% 0: [2023-03-16 23:55:22,843] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2023-03-16 23:55:22,843] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2023-03-16 23:55:22,843] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2023-03-16 23:55:22,843] [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: [2023-03-16 23:55:22,844] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2023-03-16 23:55:22,844] [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: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] amp_params ................... False 0: [2023-03-16 23:55:22,844] [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: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] comms_config ................. 0: [2023-03-16 23:55:22,844] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2023-03-16 23:55:22,845] [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: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] dump_state ................... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2023-03-16 23:55:22,845] [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: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] monitor_config ............... 0: [2023-03-16 23:55:22,845] [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: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] pld_params ................... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2023-03-16 23:55:22,845] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] world_size ................... 64 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2023-03-16 23:55:22,846] [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: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2023-03-16 23:55:22,846] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2023-03-16 23:55:22,846] [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: 0.0005786418914794922 seconds 0: [2023-03-16 23:55:22,847] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2023-03-16 23:55:22,897] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=22 [0, 22) STAGE_PARAMS=146525952 (146.526M) TOTAL_PARAMS=146525952 (146.526M) UNIQUE_PARAMS=146525952 (146.526M) 0: [2023-03-16 23:55:22,904] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/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_146m2b7100mdedup 0: [2023-03-16 23:55:22,904] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,904] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,904] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: will not load any checkpoints and will start from random 6: [2023-03-16 23:55:22,904] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-16 23:55:22,904] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-16 23:55:22,906] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,906] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-16 23:55:22,906] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: time (ms) | load-checkpoint: 6.24 3: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-16 23:55:22,905] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-16 23:55:22,906] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-16 23:55:22,906] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m2b7100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: estimated model parameters: 0.146525952 0: estimated model parameters without embeddings: 0.106319616 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2023-03-16 23:55:23 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 1308594 0: validation: 1536 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 0.029875 seconds 0: number of documents: 409500 0: > dataset split: 0: train: 0: document indices in [0, 409500) total of 409500 documents 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > last epoch number of samples (4989) is smaller than 95.0% of number of samples per epoch (48281), setting separate_last_epoch to True 0: > elasped time to build and save doc-idx mapping (seconds): 0.528896 0: using: 0: number of documents: 409500 0: number of epochs: 28 0: sequence length: 2048 0: total number of samples: 1351886 0: > elasped time to build and save sample-idx mapping (seconds): 0.082988 0: > building shuffle index with split [0, 1303605) and [1303605, 1351886) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.036757 0: > loading doc-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document_train_indexmap_1308594ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document_train_indexmap_1308594ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document_train_indexmap_1308594ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.007 seconds 0: total number of samples: 1351887 0: total number of epochs: 28 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 0.036652 seconds 0: number of documents: 364608 0: > dataset split: 0: validation: 0: document indices in [0, 364608) total of 364608 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_1536ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_1536ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_1536ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.071 seconds 0: total number of samples: 84978 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2023-03-16 23:55:37 0: done with setup ... 0: training ... 0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: 7: time (ms) | model-and-optimizer-setup: 17670.01 | train/valid/test-data-iterators-setup: 13017.35 0: [000-000] 0.1465B / 0.1063B 0: [before the start of training step] datetime: 2023-03-16 23:55:37 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 2734.17236328125 | max allocated: 22586.583984375 | reserved: 23360.0 | max reserved: 23360.0 7: iteration 10/ 5111 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.30 | learning rate: 3.913E-05 | global batch size: 256 | lm loss: 1.030117E+01 | grad norm: 2.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 196.203 | TFLOPs: 6.87 | 7: iteration 20/ 5111 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.32 | learning rate: 7.825E-05 | global batch size: 256 | lm loss: 9.310991E+00 | grad norm: 1.889 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.790 | TFLOPs: 28.38 | 7: iteration 30/ 5111 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.31 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 8.567535E+00 | grad norm: 1.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.998 | TFLOPs: 29.34 | 7: iteration 40/ 5111 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.32 | learning rate: 1.565E-04 | global batch size: 256 | lm loss: 7.769858E+00 | grad norm: 0.792 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.472 | TFLOPs: 27.99 | 7: iteration 50/ 5111 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.31 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 7.224314E+00 | grad norm: 0.968 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.410 | TFLOPs: 28.62 | 7: iteration 60/ 5111 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.967091E+00 | grad norm: 0.743 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.957 | TFLOPs: 28.81 | 7: iteration 70/ 5111 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.768555E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.939 | TFLOPs: 29.05 | 7: iteration 80/ 5111 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.618979E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.744 | TFLOPs: 28.24 | 7: iteration 90/ 5111 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.517682E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.458 | TFLOPs: 27.67 | 7: iteration 100/ 5111 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.446137E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.654 | TFLOPs: 28.59 | 7: iteration 110/ 5111 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.390578E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.321 | TFLOPs: 28.19 | 7: iteration 120/ 5111 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.339133E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.890 | TFLOPs: 28.07 | 7: iteration 130/ 5111 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.311754E+00 | grad norm: 0.796 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 794.608 | TFLOPs: 27.82 | 7: iteration 140/ 5111 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.271939E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.434 | TFLOPs: 28.41 | 7: iteration 150/ 5111 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.33 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 6.230670E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 778.655 | TFLOPs: 27.26 | 7: iteration 160/ 5111 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.32 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 6.196596E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.078 | TFLOPs: 27.66 | 7: iteration 170/ 5111 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.32 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 6.167305E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.148 | TFLOPs: 28.26 | 7: iteration 180/ 5111 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.32 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 6.148955E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.636 | TFLOPs: 28.03 | 7: iteration 190/ 5111 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.31 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 6.130103E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.236 | TFLOPs: 28.82 | 7: iteration 200/ 5111 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.30 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 6.097087E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.489 | TFLOPs: 29.63 | 7: iteration 210/ 5111 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.30 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 6.082393E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.502 | TFLOPs: 29.67 | 7: iteration 220/ 5111 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.30 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 6.053389E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.150 | TFLOPs: 30.22 | 7: iteration 230/ 5111 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.32 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 6.047158E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.639 | TFLOPs: 28.03 | 7: iteration 240/ 5111 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 6.019538E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.700 | TFLOPs: 28.45 | 7: iteration 250/ 5111 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 6.003258E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.550 | TFLOPs: 28.62 | 7: iteration 260/ 5111 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 5.984248E+00 | grad norm: 0.845 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.304 | TFLOPs: 28.96 | 7: iteration 270/ 5111 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 6.007296E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.105 | TFLOPs: 28.67 | 7: iteration 280/ 5111 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 5.956456E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.164 | TFLOPs: 28.68 | 7: iteration 290/ 5111 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.32 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 5.932375E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.975 | TFLOPs: 27.97 | 7: iteration 300/ 5111 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.33 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 5.905700E+00 | grad norm: 0.758 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 774.077 | TFLOPs: 27.10 | 7: iteration 310/ 5111 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.32 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 5.882197E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.195 | TFLOPs: 28.26 | 7: iteration 320/ 5111 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.32 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 5.866181E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 791.521 | TFLOPs: 27.71 | 7: iteration 330/ 5111 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 5.861765E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.796 | TFLOPs: 29.12 | 7: iteration 340/ 5111 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.32 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 5.824955E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.256 | TFLOPs: 28.40 | 7: iteration 350/ 5111 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.31 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 5.790651E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.487 | TFLOPs: 28.86 | 7: iteration 360/ 5111 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 5.774572E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.243 | TFLOPs: 28.61 | 7: iteration 370/ 5111 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 5.783117E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.457 | TFLOPs: 29.21 | 7: iteration 380/ 5111 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.32 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 5.740670E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.573 | TFLOPs: 28.45 | 7: iteration 390/ 5111 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.31 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 5.697663E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.326 | TFLOPs: 28.75 | 7: iteration 400/ 5111 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.31 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 5.701863E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.948 | TFLOPs: 28.98 | 7: iteration 410/ 5111 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.30 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 5.654736E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.137 | TFLOPs: 29.55 | 7: iteration 420/ 5111 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.30 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 5.668817E+00 | grad norm: 0.663 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.723 | TFLOPs: 29.54 | 7: iteration 430/ 5111 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.31 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 5.630647E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.080 | TFLOPs: 29.30 | 7: iteration 440/ 5111 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.33 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 5.609124E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 775.691 | TFLOPs: 27.15 | 7: iteration 450/ 5111 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.33 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 5.588097E+00 | grad norm: 0.847 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 780.841 | TFLOPs: 27.34 | 7: iteration 460/ 5111 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.31 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 5.581668E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.761 | TFLOPs: 28.70 | 7: iteration 470/ 5111 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.31 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 5.537255E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.370 | TFLOPs: 28.54 | 7: iteration 480/ 5111 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.30 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 5.539369E+00 | grad norm: 0.715 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.052 | TFLOPs: 29.93 | 7: iteration 490/ 5111 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.31 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 5.516757E+00 | grad norm: 0.917 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.589 | TFLOPs: 28.87 | 7: iteration 500/ 5111 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.31 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 5.490271E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.956 | TFLOPs: 29.33 | 7: iteration 510/ 5111 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.31 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 5.454471E+00 | grad norm: 0.856 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.532 | TFLOPs: 28.58 | 7: iteration 520/ 5111 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.31 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 5.452378E+00 | grad norm: 0.710 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.823 | TFLOPs: 29.15 | 7: iteration 530/ 5111 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.31 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 5.423672E+00 | grad norm: 0.655 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.975 | TFLOPs: 29.30 | 7: iteration 540/ 5111 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.31 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 5.408237E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.653 | TFLOPs: 29.15 | 7: iteration 550/ 5111 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.31 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 5.376954E+00 | grad norm: 0.623 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.510 | TFLOPs: 29.04 | 7: iteration 560/ 5111 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.31 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 5.370342E+00 | grad norm: 0.716 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.978 | TFLOPs: 29.37 | 7: iteration 570/ 5111 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.30 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 5.344927E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.128 | TFLOPs: 29.45 | 7: iteration 580/ 5111 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.31 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 5.328515E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.389 | TFLOPs: 28.65 | 7: iteration 590/ 5111 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.31 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 5.307307E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.387 | TFLOPs: 29.35 | 7: iteration 600/ 5111 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.30 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 5.298390E+00 | grad norm: 0.730 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.622 | TFLOPs: 29.88 | 7: iteration 610/ 5111 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.30 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 5.282703E+00 | grad norm: 0.781 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.185 | TFLOPs: 29.52 | 7: iteration 620/ 5111 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.30 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 5.256899E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.451 | TFLOPs: 29.46 | 7: iteration 630/ 5111 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.31 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 5.231021E+00 | grad norm: 1.043 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.663 | TFLOPs: 28.83 | 7: iteration 640/ 5111 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.31 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 5.247931E+00 | grad norm: 0.753 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.746 | TFLOPs: 28.87 | 7: iteration 650/ 5111 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.30 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 5.214498E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.692 | TFLOPs: 30.24 | 7: iteration 660/ 5111 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.30 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 5.197127E+00 | grad norm: 0.889 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.809 | TFLOPs: 30.06 | 7: iteration 670/ 5111 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.31 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 5.187201E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.468 | TFLOPs: 29.18 | 7: iteration 680/ 5111 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.30 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 5.166962E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.926 | TFLOPs: 30.03 | 7: iteration 690/ 5111 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.30 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 5.147394E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.599 | TFLOPs: 29.57 | 7: iteration 700/ 5111 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.29 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 5.133181E+00 | grad norm: 0.959 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.511 | TFLOPs: 30.47 | 7: iteration 710/ 5111 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.29 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 5.126913E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.030 | TFLOPs: 30.46 | 7: iteration 720/ 5111 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.30 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 5.109904E+00 | grad norm: 0.795 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.564 | TFLOPs: 29.64 | 7: iteration 730/ 5111 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.30 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 5.087781E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.338 | TFLOPs: 29.52 | 7: iteration 740/ 5111 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.31 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 5.090854E+00 | grad norm: 0.738 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.381 | TFLOPs: 29.35 | 7: iteration 750/ 5111 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.32 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 5.065572E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.724 | TFLOPs: 28.03 | 7: iteration 760/ 5111 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.30 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 5.045746E+00 | grad norm: 0.670 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.831 | TFLOPs: 29.89 | 7: iteration 770/ 5111 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.29 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 5.039098E+00 | grad norm: 0.781 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.605 | TFLOPs: 30.51 | 7: iteration 780/ 5111 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.30 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 5.033000E+00 | grad norm: 0.721 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.102 | TFLOPs: 29.58 | 7: iteration 790/ 5111 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.30 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 5.009762E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.589 | TFLOPs: 29.57 | 7: iteration 800/ 5111 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.30 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 5.009016E+00 | grad norm: 0.928 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.989 | TFLOPs: 30.14 | 7: iteration 810/ 5111 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.30 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 5.009196E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.684 | TFLOPs: 29.82 | 7: iteration 820/ 5111 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.29 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 4.992246E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.010 | TFLOPs: 30.49 | 7: iteration 830/ 5111 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.30 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 4.962862E+00 | grad norm: 0.673 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.319 | TFLOPs: 30.12 | 7: iteration 840/ 5111 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.30 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 4.968547E+00 | grad norm: 0.758 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.969 | TFLOPs: 30.11 | 7: iteration 850/ 5111 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.29 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 4.945680E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.431 | TFLOPs: 30.44 | 7: iteration 860/ 5111 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.30 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 4.928066E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.486 | TFLOPs: 29.91 | 7: iteration 870/ 5111 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.29 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 4.912255E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.640 | TFLOPs: 30.48 | 7: iteration 880/ 5111 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.30 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 4.899747E+00 | grad norm: 0.735 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.816 | TFLOPs: 30.06 | 7: iteration 890/ 5111 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.29 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 4.906366E+00 | grad norm: 0.723 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.143 | TFLOPs: 30.50 | 7: iteration 900/ 5111 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.30 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 4.895719E+00 | grad norm: 0.811 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.132 | TFLOPs: 30.15 | 7: iteration 910/ 5111 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.29 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 4.884743E+00 | grad norm: 0.644 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.190 | TFLOPs: 30.50 | 7: iteration 920/ 5111 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.30 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 4.864587E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.316 | TFLOPs: 30.08 | 7: iteration 930/ 5111 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.30 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 4.854518E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.510 | TFLOPs: 29.98 | 7: iteration 940/ 5111 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.29 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 4.840176E+00 | grad norm: 0.783 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.214 | TFLOPs: 30.50 | 7: iteration 950/ 5111 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.29 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 4.831732E+00 | grad norm: 0.767 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.773 | TFLOPs: 30.48 | 7: iteration 960/ 5111 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.29 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 4.816729E+00 | grad norm: 0.759 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.886 | TFLOPs: 30.49 | 7: iteration 970/ 5111 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.29 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 4.808347E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.482 | TFLOPs: 30.44 | 7: iteration 980/ 5111 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.29 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 4.796566E+00 | grad norm: 0.713 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.159 | TFLOPs: 30.46 | 7: iteration 990/ 5111 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.29 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 4.791715E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.255 | TFLOPs: 30.47 | 7: iteration 1000/ 5111 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.30 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 4.781680E+00 | grad norm: 0.605 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.081 | TFLOPs: 29.76 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 1000 | lm loss value: 4.744591E+00 | lm loss PPL: 1.149607E+02 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 1000 to checkpoints_146m2b7100mdedup 0: [2023-03-17 00:00:54,979] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2023-03-17 00:00:55,199] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step1000/layer_01-model_00-model_states.pt... 0: [2023-03-17 00:00:55,289] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step1000/layer_01-model_00-model_states.pt. 0: [2023-03-17 00:00:55,290] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step1000/layer_03-model_00-model_states.pt... 0: 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checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2023-03-17 00:00:55,595] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-17 00:00:55,595] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-17 00:00:55,595] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-17 00:00:55,595] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-17 00:00:55,595] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-17 00:00:55,595] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-17 00:00:55,595] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2023-03-17 00:00:55,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2023-03-17 00:00:55,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2023-03-17 00:00:55,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2023-03-17 00:00:55,601] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:00:55,601] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2023-03-17 00:00:55,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 00:00:55,603] [INFO] 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checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-17 00:00:55,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 00:00:55,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 00:00:55,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-17 00:00:55,598] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2023-03-17 00:00:55,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: [2023-03-17 00:00:55,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-17 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checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2023-03-17 00:00:55,611] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2023-03-17 00:00:55,611] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2023-03-17 00:00:55,611] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2023-03-17 00:00:55,611] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 00:00:55,611] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step1000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2023-03-17 00:00:55,611] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_146m2b7100mdedup 7: time (ms) | save-checkpoint: 641.76 7: iteration 1010/ 5111 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.37 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 4.763277E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 695.995 | TFLOPs: 24.36 | 7: iteration 1020/ 5111 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.29 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 4.758141E+00 | grad norm: 1.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.343 | TFLOPs: 30.43 | 7: iteration 1030/ 5111 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.29 | learning rate: 1.839E-04 | global batch size: 256 | lm loss: 4.755785E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.405 | TFLOPs: 30.44 | 7: iteration 1040/ 5111 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.29 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 4.729203E+00 | grad norm: 0.572 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.279 | TFLOPs: 30.43 | 7: iteration 1050/ 5111 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.30 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 4.715368E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.590 | TFLOPs: 30.16 | 7: iteration 1060/ 5111 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.29 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 4.705219E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.796 | TFLOPs: 30.45 | 7: iteration 1070/ 5111 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.29 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 4.701012E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.223 | TFLOPs: 30.43 | 7: iteration 1080/ 5111 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.29 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 4.708570E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.379 | TFLOPs: 30.43 | 7: iteration 1090/ 5111 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.29 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 4.685333E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.865 | TFLOPs: 30.45 | 7: iteration 1100/ 5111 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.29 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 4.683308E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.580 | TFLOPs: 30.44 | 7: iteration 1110/ 5111 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.29 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 4.659230E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.457 | TFLOPs: 30.44 | 7: iteration 1120/ 5111 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.29 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 4.658923E+00 | grad norm: 0.883 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.814 | TFLOPs: 30.45 | 7: iteration 1130/ 5111 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.29 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 4.666406E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.289 | TFLOPs: 30.47 | 7: iteration 1140/ 5111 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.29 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 4.650105E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.954 | TFLOPs: 30.45 | 7: iteration 1150/ 5111 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.29 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 4.644874E+00 | grad norm: 0.664 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.001 | TFLOPs: 30.46 | 7: iteration 1160/ 5111 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.29 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 4.635534E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.660 | TFLOPs: 30.44 | 7: iteration 1170/ 5111 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.29 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 4.613836E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.126 | TFLOPs: 30.46 | 7: iteration 1180/ 5111 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.29 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 4.606799E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.007 | TFLOPs: 30.46 | 7: iteration 1190/ 5111 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.29 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 4.612844E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.341 | TFLOPs: 30.43 | 7: iteration 1200/ 5111 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.29 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 4.608520E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.278 | TFLOPs: 30.47 | 7: iteration 1210/ 5111 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.29 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 4.587021E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.596 | TFLOPs: 30.48 | 7: iteration 1220/ 5111 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.29 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 4.592492E+00 | grad norm: 0.657 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.578 | TFLOPs: 30.48 | 7: iteration 1230/ 5111 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.29 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 4.582397E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.618 | TFLOPs: 30.44 | 7: iteration 1240/ 5111 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.29 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 4.571247E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.288 | TFLOPs: 30.43 | 7: iteration 1250/ 5111 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.29 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 4.561591E+00 | grad norm: 0.582 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.319 | TFLOPs: 30.47 | 7: iteration 1260/ 5111 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.29 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 4.558485E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.949 | TFLOPs: 30.45 | 7: iteration 1270/ 5111 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.29 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 4.561843E+00 | grad norm: 0.672 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.878 | TFLOPs: 30.45 | 7: iteration 1280/ 5111 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.29 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 4.560460E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.775 | TFLOPs: 30.48 | 7: iteration 1290/ 5111 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.29 | learning rate: 1.747E-04 | global batch size: 256 | lm loss: 4.541392E+00 | grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.003 | TFLOPs: 30.49 | 7: iteration 1300/ 5111 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.29 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 4.532958E+00 | grad norm: 0.838 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.670 | TFLOPs: 30.48 | 7: iteration 1310/ 5111 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.29 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 4.531218E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.615 | TFLOPs: 30.48 | 7: iteration 1320/ 5111 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.29 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 4.527006E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.775 | TFLOPs: 30.48 | 7: iteration 1330/ 5111 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.29 | learning rate: 1.731E-04 | global batch size: 256 | lm loss: 4.527771E+00 | grad norm: 0.596 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.187 | TFLOPs: 30.46 | 7: iteration 1340/ 5111 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.29 | learning rate: 1.727E-04 | global batch size: 256 | lm loss: 4.518327E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.528 | TFLOPs: 30.47 | 7: iteration 1350/ 5111 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.29 | learning rate: 1.723E-04 | global batch size: 256 | lm loss: 4.508680E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.737 | TFLOPs: 30.48 | 7: iteration 1360/ 5111 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.29 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 4.496273E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.464 | TFLOPs: 30.47 | 7: iteration 1370/ 5111 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.29 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 4.494638E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.149 | TFLOPs: 30.46 | 7: iteration 1380/ 5111 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.29 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 4.504490E+00 | grad norm: 0.602 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.156 | TFLOPs: 30.46 | 7: iteration 1390/ 5111 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.29 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 4.495152E+00 | grad norm: 0.592 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.653 | TFLOPs: 30.48 | 7: iteration 1400/ 5111 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.29 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 4.497275E+00 | grad norm: 0.580 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.184 | TFLOPs: 30.46 | 7: iteration 1410/ 5111 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.29 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 4.480653E+00 | grad norm: 0.692 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.407 | TFLOPs: 30.47 | 7: iteration 1420/ 5111 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.29 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 4.476618E+00 | grad norm: 0.671 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.601 | TFLOPs: 30.44 | 7: iteration 1430/ 5111 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.29 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 4.469448E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.049 | TFLOPs: 30.42 | 7: iteration 1440/ 5111 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.29 | learning rate: 1.686E-04 | global batch size: 256 | lm loss: 4.464856E+00 | grad norm: 0.679 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.047 | TFLOPs: 30.46 | 7: iteration 1450/ 5111 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.29 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 4.466540E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.211 | TFLOPs: 30.43 | 7: iteration 1460/ 5111 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.29 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 4.459977E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.369 | TFLOPs: 30.43 | 7: iteration 1470/ 5111 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.29 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 4.447290E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.872 | TFLOPs: 30.45 | 7: iteration 1480/ 5111 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.29 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 4.455048E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.657 | TFLOPs: 30.44 | 7: iteration 1490/ 5111 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.29 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 4.438693E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.236 | TFLOPs: 30.43 | 7: iteration 1500/ 5111 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.29 | learning rate: 1.660E-04 | global batch size: 256 | lm loss: 4.442239E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.139 | TFLOPs: 30.46 | 7: iteration 1510/ 5111 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.29 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 4.436790E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.389 | TFLOPs: 30.43 | 7: iteration 1520/ 5111 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.29 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 4.424889E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.551 | TFLOPs: 30.44 | 7: iteration 1530/ 5111 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.29 | learning rate: 1.647E-04 | global batch size: 256 | lm loss: 4.427322E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.521 | TFLOPs: 30.47 | 7: iteration 1540/ 5111 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.29 | learning rate: 1.642E-04 | global batch size: 256 | lm loss: 4.425561E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.694 | TFLOPs: 30.45 | 7: iteration 1550/ 5111 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.29 | learning rate: 1.638E-04 | global batch size: 256 | lm loss: 4.430730E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.524 | TFLOPs: 30.44 | 7: iteration 1560/ 5111 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.29 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 4.413392E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.809 | TFLOPs: 30.45 | 7: iteration 1570/ 5111 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.29 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 4.411206E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.304 | TFLOPs: 30.43 | 7: iteration 1580/ 5111 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.29 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 4.402980E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.155 | TFLOPs: 30.43 | 7: iteration 1590/ 5111 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.29 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 4.398903E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.651 | TFLOPs: 30.41 | 7: iteration 1600/ 5111 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.29 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 4.398527E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.606 | TFLOPs: 30.41 | 7: iteration 1610/ 5111 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.29 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 4.397813E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.549 | TFLOPs: 30.41 | 7: iteration 1620/ 5111 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.29 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 4.395219E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.540 | TFLOPs: 30.41 | 7: iteration 1630/ 5111 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.29 | learning rate: 1.601E-04 | global batch size: 256 | lm loss: 4.390511E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan 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| learning rate: 1.530E-04 | global batch size: 256 | lm loss: 4.336618E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.019 | TFLOPs: 30.39 | 7: iteration 1790/ 5111 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.29 | learning rate: 1.525E-04 | global batch size: 256 | lm loss: 4.330927E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.719 | TFLOPs: 30.41 | 7: iteration 1800/ 5111 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.29 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 4.324717E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.980 | TFLOPs: 30.39 | 7: iteration 1810/ 5111 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed 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consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.30 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 4.311925E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.716 | TFLOPs: 30.38 | 7: iteration 1880/ 5111 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.30 | learning rate: 1.480E-04 | global batch size: 256 | lm loss: 4.309489E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.378 | TFLOPs: 30.36 | 7: iteration 1890/ 5111 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 0.30 | learning rate: 1.475E-04 | global batch size: 256 | lm loss: 4.302000E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.900 | TFLOPs: 30.35 | 7: iteration 1900/ 5111 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 0.30 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 4.305355E+00 | grad norm: 0.708 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.199 | TFLOPs: 30.36 | 7: iteration 1910/ 5111 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 0.30 | learning rate: 1.464E-04 | global batch size: 256 | lm loss: 4.300106E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.787 | TFLOPs: 30.38 | 7: iteration 1920/ 5111 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.30 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 4.291758E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.770 | TFLOPs: 30.34 | 7: iteration 1930/ 5111 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.30 | learning rate: 1.454E-04 | global batch size: 256 | lm loss: 4.297309E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.038 | TFLOPs: 30.35 | 7: iteration 1940/ 5111 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.30 | learning rate: 1.449E-04 | global batch size: 256 | lm loss: 4.284460E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.000 | TFLOPs: 30.35 | 7: iteration 1950/ 5111 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.30 | learning rate: 1.444E-04 | global batch size: 256 | lm loss: 4.289909E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.870 | TFLOPs: 30.35 | 7: iteration 1960/ 5111 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.30 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 4.279826E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.781 | TFLOPs: 30.34 | 7: iteration 1970/ 5111 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.30 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 4.287349E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.619 | TFLOPs: 30.34 | 7: iteration 1980/ 5111 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.30 | learning rate: 1.428E-04 | global batch size: 256 | lm loss: 4.277113E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.671 | TFLOPs: 30.37 | 7: iteration 1990/ 5111 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.30 | learning rate: 1.423E-04 | global batch size: 256 | lm loss: 4.283198E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.171 | TFLOPs: 30.36 | 0: [2023-03-17 00:05:50,373] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00014178345342766413, 0.00014178345342766413, 0.00014178345342766413], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 5111 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.30 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 4.275803E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.333 | TFLOPs: 30.36 | 0: steps: 2000 loss: 4.2691 iter time (s): 0.304 samples/sec: 841.475 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 2000 | lm loss value: 4.161403E+00 | lm loss PPL: 6.416149E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 2000 to checkpoints_146m2b7100mdedup 0: [2023-03-17 00:05:50,495] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2023-03-17 00:05:50,498] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step2000/layer_01-model_00-model_states.pt... 0: [2023-03-17 00:05:50,583] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/layer_01-model_00-model_states.pt. 0: [2023-03-17 00:05:50,583] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2023-03-17 00:05:50,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2023-03-17 00:05:50,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 00:05:50,872] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:05:50,872] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2023-03-17 00:05:50,872] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2023-03-17 00:05:50,874] [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_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2023-03-17 00:05:50,882] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2023-03-17 00:05:50,882] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 00:05:50,882] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 00:05:50,882] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 00:05:50,882] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:05:50,882] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2023-03-17 00:05:50,883] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-17 00:05:50,882] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:05:50,883] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2023-03-17 00:05:50,883] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-17 00:05:50,883] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:05:50,883] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2023-03-17 00:05:50,883] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-17 00:05:50,884] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:05:50,884] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:05:50,884] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2023-03-17 00:05:50,884] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 3: [2023-03-17 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checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:05:50,884] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 5: [2023-03-17 00:05:50,884] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:05:50,884] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2023-03-17 00:05:50,884] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 5: [2023-03-17 00:05:50,884] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 3: [2023-03-17 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checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2023-03-17 00:05:50,888] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2023-03-17 00:05:50,885] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 0: successfully saved checkpoint at iteration 2000 to checkpoints_146m2b7100mdedup 7: time (ms) | save-checkpoint: 401.14 4: [2023-03-17 00:05:50,885] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step2000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-17 00:05:50,885] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: iteration 2010/ 5111 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.35 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 4.274334E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 739.247 | TFLOPs: 25.88 | 7: iteration 2020/ 5111 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.29 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 4.268845E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.463 | TFLOPs: 30.44 | 7: iteration 2030/ 5111 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.29 | learning rate: 1.402E-04 | global batch size: 256 | lm loss: 4.277077E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.322 | TFLOPs: 30.40 | 7: iteration 2040/ 5111 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.29 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 4.269770E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.022 | TFLOPs: 30.39 | 7: iteration 2050/ 5111 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.29 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 4.263114E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.041 | TFLOPs: 30.39 | 7: iteration 2060/ 5111 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.30 | learning rate: 1.386E-04 | global batch size: 256 | lm loss: 4.259692E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.167 | TFLOPs: 30.36 | 7: iteration 2070/ 5111 | consumed samples: 529920 | consumed 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30.34 | 7: iteration 2130/ 5111 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.30 | learning rate: 1.349E-04 | global batch size: 256 | lm loss: 4.242309E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.410 | TFLOPs: 30.30 | 7: iteration 2140/ 5111 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.30 | learning rate: 1.344E-04 | global batch size: 256 | lm loss: 4.242947E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.515 | TFLOPs: 30.30 | 7: iteration 2150/ 5111 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.30 | learning rate: 1.338E-04 | global batch size: 256 | lm loss: 4.233526E+00 | grad norm: 0.539 | 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: 866.301 | TFLOPs: 30.33 | 7: iteration 2190/ 5111 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.30 | learning rate: 1.317E-04 | global batch size: 256 | lm loss: 4.229224E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.115 | TFLOPs: 30.32 | 7: iteration 2200/ 5111 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.30 | learning rate: 1.311E-04 | global batch size: 256 | lm loss: 4.231137E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.238 | TFLOPs: 30.32 | 7: iteration 2210/ 5111 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.30 | learning rate: 1.306E-04 | global batch size: 256 | lm loss: 4.224276E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.767 | TFLOPs: 30.10 | 7: iteration 2220/ 5111 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.30 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 4.225684E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.759 | TFLOPs: 30.34 | 7: iteration 2230/ 5111 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.30 | learning rate: 1.295E-04 | global batch size: 256 | lm loss: 4.215060E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.156 | TFLOPs: 30.36 | 7: iteration 2240/ 5111 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.30 | learning rate: 1.289E-04 | global batch size: 256 | lm loss: 4.215388E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.027 | TFLOPs: 30.32 | 7: iteration 2250/ 5111 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.30 | learning rate: 1.284E-04 | global batch size: 256 | lm loss: 4.214088E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.467 | TFLOPs: 30.33 | 7: iteration 2260/ 5111 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.30 | learning rate: 1.278E-04 | global batch size: 256 | lm loss: 4.215502E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.125 | TFLOPs: 30.32 | 7: iteration 2270/ 5111 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.30 | learning rate: 1.273E-04 | global batch size: 256 | lm loss: 4.211705E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.065 | TFLOPs: 30.32 | 7: iteration 2280/ 5111 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.30 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 4.215475E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.278 | TFLOPs: 30.29 | 7: iteration 2290/ 5111 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.30 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 4.210805E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.733 | TFLOPs: 30.27 | 7: iteration 2300/ 5111 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.30 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 4.209159E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.983 | TFLOPs: 30.32 | 7: iteration 2310/ 5111 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.30 | learning rate: 1.251E-04 | global batch size: 256 | lm loss: 4.201821E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.475 | TFLOPs: 30.33 | 7: iteration 2320/ 5111 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.30 | learning rate: 1.245E-04 | global batch size: 256 | lm loss: 4.206956E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.349 | TFLOPs: 30.29 | 7: iteration 2330/ 5111 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.30 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 4.203202E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.884 | TFLOPs: 30.28 | 7: iteration 2340/ 5111 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.30 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 4.203915E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.951 | TFLOPs: 30.28 | 7: iteration 2350/ 5111 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.30 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 4.201480E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.092 | TFLOPs: 30.28 | 7: iteration 2360/ 5111 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.30 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 4.192727E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.316 | TFLOPs: 30.33 | 7: iteration 2370/ 5111 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.30 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 4.195326E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.699 | TFLOPs: 30.31 | 7: iteration 2380/ 5111 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.30 | learning rate: 1.212E-04 | global batch size: 256 | lm loss: 4.200705E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.753 | TFLOPs: 30.31 | 7: iteration 2390/ 5111 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.30 | learning rate: 1.207E-04 | global batch size: 256 | lm loss: 4.192007E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.624 | TFLOPs: 30.30 | 7: iteration 2400/ 5111 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.30 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 4.184043E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.814 | TFLOPs: 30.27 | 7: iteration 2410/ 5111 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.30 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 4.183788E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.008 | TFLOPs: 30.32 | 7: iteration 2420/ 5111 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.30 | learning rate: 1.190E-04 | global batch size: 256 | lm loss: 4.187568E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.752 | TFLOPs: 30.31 | 7: iteration 2430/ 5111 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.30 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 4.186624E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.826 | TFLOPs: 30.28 | 7: iteration 2440/ 5111 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.30 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 4.177163E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.179 | TFLOPs: 30.29 | 7: iteration 2450/ 5111 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.30 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 4.177896E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.902 | TFLOPs: 30.31 | 7: iteration 2460/ 5111 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.30 | learning rate: 1.168E-04 | global batch size: 256 | lm loss: 4.174371E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.550 | TFLOPs: 30.27 | 7: iteration 2470/ 5111 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.30 | learning rate: 1.162E-04 | global batch size: 256 | lm loss: 4.166465E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.355 | TFLOPs: 30.29 | 7: iteration 2480/ 5111 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.30 | learning rate: 1.157E-04 | global batch size: 256 | lm loss: 4.174820E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.271 | TFLOPs: 30.29 | 7: iteration 2490/ 5111 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.30 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 4.171109E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.892 | TFLOPs: 30.28 | 7: iteration 2500/ 5111 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.30 | learning rate: 1.145E-04 | global batch size: 256 | lm loss: 4.165221E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.061 | TFLOPs: 30.25 | 7: iteration 2510/ 5111 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.30 | learning rate: 1.140E-04 | global batch size: 256 | lm loss: 4.167610E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.988 | TFLOPs: 30.25 | 7: iteration 2520/ 5111 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.30 | learning rate: 1.134E-04 | global batch size: 256 | lm loss: 4.158043E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.818 | TFLOPs: 29.85 | 7: iteration 2530/ 5111 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.30 | learning rate: 1.129E-04 | global batch size: 256 | lm loss: 4.167597E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.161 | TFLOPs: 30.18 | 7: iteration 2540/ 5111 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.30 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 4.152250E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.004 | TFLOPs: 30.32 | 7: iteration 2550/ 5111 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.30 | learning rate: 1.118E-04 | global batch size: 256 | lm loss: 4.164729E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.395 | TFLOPs: 30.30 | 7: iteration 2560/ 5111 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.30 | learning rate: 1.112E-04 | global batch size: 256 | lm loss: 4.161334E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.591 | TFLOPs: 30.27 | 7: iteration 2570/ 5111 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.30 | learning rate: 1.106E-04 | global batch size: 256 | lm loss: 4.151078E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.195 | TFLOPs: 30.25 | 7: iteration 2580/ 5111 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.30 | learning rate: 1.101E-04 | global batch size: 256 | lm loss: 4.149008E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.021 | TFLOPs: 30.28 | 7: iteration 2590/ 5111 | consumed samples: 663040 | consumed tokens: 1357905920 | elapsed time per iteration (s): 0.30 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 4.150909E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.063 | TFLOPs: 30.28 | 7: iteration 2600/ 5111 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.30 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 4.158389E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.010 | TFLOPs: 30.28 | 7: iteration 2610/ 5111 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.30 | learning rate: 1.084E-04 | global batch size: 256 | lm loss: 4.147754E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.246 | TFLOPs: 30.29 | 7: iteration 2620/ 5111 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.30 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 4.146953E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.822 | TFLOPs: 30.28 | 7: iteration 2630/ 5111 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.30 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 4.147561E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.508 | TFLOPs: 30.09 | 7: iteration 2640/ 5111 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.30 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 4.144255E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.399 | TFLOPs: 30.26 | 7: iteration 2650/ 5111 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.30 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 4.147729E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.635 | TFLOPs: 30.23 | 7: iteration 2660/ 5111 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 0.30 | learning rate: 1.056E-04 | global batch size: 256 | lm loss: 4.133765E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.815 | TFLOPs: 30.31 | 7: iteration 2670/ 5111 | consumed samples: 683520 | consumed tokens: 1399848960 | elapsed time per iteration (s): 0.30 | learning rate: 1.051E-04 | global batch size: 256 | lm loss: 4.140151E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.273 | TFLOPs: 30.26 | 7: iteration 2680/ 5111 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 0.30 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 4.144664E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.677 | TFLOPs: 30.23 | 7: iteration 2690/ 5111 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.30 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 4.132056E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.073 | TFLOPs: 30.25 | 7: iteration 2700/ 5111 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.30 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 4.138102E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.373 | TFLOPs: 30.22 | 7: iteration 2710/ 5111 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.30 | learning rate: 1.028E-04 | global batch size: 256 | lm loss: 4.137212E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.180 | TFLOPs: 30.08 | 7: iteration 2720/ 5111 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.30 | learning rate: 1.023E-04 | global batch size: 256 | lm loss: 4.132890E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.596 | TFLOPs: 30.23 | 7: iteration 2730/ 5111 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.30 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 4.132520E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.852 | TFLOPs: 30.24 | 7: iteration 2740/ 5111 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.30 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 4.127539E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.037 | TFLOPs: 30.21 | 7: iteration 2750/ 5111 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.30 | learning rate: 1.006E-04 | global batch size: 256 | lm loss: 4.126812E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.058 | TFLOPs: 30.25 | 7: iteration 2760/ 5111 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.30 | learning rate: 1.000E-04 | global batch size: 256 | lm loss: 4.122649E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.023 | TFLOPs: 30.21 | 7: iteration 2770/ 5111 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.30 | learning rate: 9.949E-05 | global batch size: 256 | lm loss: 4.128941E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.532 | TFLOPs: 30.23 | 7: iteration 2780/ 5111 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.30 | learning rate: 9.893E-05 | global batch size: 256 | lm loss: 4.130659E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.226 | TFLOPs: 30.22 | 7: iteration 2790/ 5111 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.30 | learning rate: 9.838E-05 | global batch size: 256 | lm loss: 4.125532E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.727 | TFLOPs: 30.24 | 7: iteration 2800/ 5111 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.30 | learning rate: 9.782E-05 | global batch size: 256 | lm loss: 4.122697E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.346 | TFLOPs: 30.19 | 7: iteration 2810/ 5111 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.30 | learning rate: 9.727E-05 | global batch size: 256 | lm loss: 4.120242E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.511 | TFLOPs: 30.23 | 7: iteration 2820/ 5111 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.30 | learning rate: 9.672E-05 | global batch size: 256 | lm loss: 4.118449E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.473 | TFLOPs: 30.23 | 7: iteration 2830/ 5111 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.30 | learning rate: 9.617E-05 | global batch size: 256 | lm loss: 4.118664E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.259 | TFLOPs: 30.22 | 7: iteration 2840/ 5111 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.30 | learning rate: 9.561E-05 | global batch size: 256 | lm loss: 4.110826E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.321 | TFLOPs: 30.22 | 7: iteration 2850/ 5111 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.30 | learning rate: 9.506E-05 | global batch size: 256 | lm loss: 4.110385E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.838 | TFLOPs: 30.24 | 7: iteration 2860/ 5111 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.30 | learning rate: 9.451E-05 | global batch size: 256 | lm loss: 4.119551E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.348 | TFLOPs: 30.22 | 7: iteration 2870/ 5111 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.30 | learning rate: 9.396E-05 | global batch size: 256 | lm loss: 4.109455E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.266 | TFLOPs: 30.26 | 7: iteration 2880/ 5111 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.30 | learning rate: 9.341E-05 | global batch size: 256 | lm loss: 4.114141E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.589 | TFLOPs: 30.23 | 7: iteration 2890/ 5111 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.30 | learning rate: 9.286E-05 | global batch size: 256 | lm loss: 4.112988E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.225 | TFLOPs: 30.11 | 7: iteration 2900/ 5111 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.30 | learning rate: 9.232E-05 | global batch size: 256 | lm loss: 4.107250E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.851 | TFLOPs: 30.24 | 7: iteration 2910/ 5111 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.30 | learning rate: 9.177E-05 | global batch size: 256 | lm loss: 4.101071E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.043 | TFLOPs: 30.25 | 7: iteration 2920/ 5111 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.30 | learning rate: 9.122E-05 | global batch size: 256 | lm loss: 4.104657E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.524 | TFLOPs: 30.26 | 7: iteration 2930/ 5111 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.30 | learning rate: 9.068E-05 | global batch size: 256 | lm loss: 4.107565E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.002 | TFLOPs: 30.25 | 7: iteration 2940/ 5111 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.30 | learning rate: 9.013E-05 | global batch size: 256 | lm loss: 4.101884E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.667 | TFLOPs: 30.16 | 7: iteration 2950/ 5111 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.30 | learning rate: 8.959E-05 | global batch size: 256 | lm loss: 4.101996E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.381 | TFLOPs: 30.15 | 7: iteration 2960/ 5111 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.30 | learning rate: 8.904E-05 | global batch size: 256 | lm loss: 4.103431E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.420 | TFLOPs: 30.19 | 7: iteration 2970/ 5111 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.30 | learning rate: 8.850E-05 | global batch size: 256 | lm loss: 4.101610E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.017 | TFLOPs: 30.18 | 7: iteration 2980/ 5111 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.30 | learning rate: 8.796E-05 | global batch size: 256 | lm loss: 4.100013E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.702 | TFLOPs: 30.17 | 7: iteration 2990/ 5111 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.30 | learning rate: 8.742E-05 | global batch size: 256 | lm loss: 4.101381E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.346 | TFLOPs: 30.19 | 7: iteration 3000/ 5111 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.30 | learning rate: 8.687E-05 | global batch size: 256 | lm loss: 4.098223E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.615 | TFLOPs: 30.16 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 3000 | lm loss value: 4.026948E+00 | lm loss PPL: 5.608946E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 3000 to checkpoints_146m2b7100mdedup 0: [2023-03-17 00:10:47,089] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2023-03-17 00:10:47,092] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:10:47,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 5: [2023-03-17 00:10:47,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 1: [2023-03-17 00:10:47,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2023-03-17 00:10:47,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2023-03-17 00:10:47,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 5: [2023-03-17 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checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:10:47,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2023-03-17 00:10:47,466] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:10:47,466] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:10:47,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2023-03-17 00:10:47,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2023-03-17 00:10:47,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2023-03-17 00:10:47,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-17 00:10:47,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2023-03-17 00:10:47,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2023-03-17 00:10:47,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2023-03-17 00:10:47,471] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:10:47,468] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:10:47,468] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 3: [2023-03-17 00:10:47,471] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 6: [2023-03-17 00:10:47,468] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 3: [2023-03-17 00:10:47,471] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2023-03-17 00:10:47,468] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2023-03-17 00:10:47,468] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2023-03-17 00:10:47,468] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2023-03-17 00:10:47,469] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:10:47,469] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2023-03-17 00:10:47,469] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2023-03-17 00:10:47,479] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step3000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-17 00:10:47,479] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: successfully saved checkpoint at iteration 3000 to checkpoints_146m2b7100mdedup 7: time (ms) | save-checkpoint: 395.44 7: iteration 3010/ 5111 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.34 | learning rate: 8.634E-05 | global batch size: 256 | lm loss: 4.092341E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 744.501 | TFLOPs: 26.06 | 7: iteration 3020/ 5111 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.30 | learning rate: 8.580E-05 | global batch size: 256 | lm loss: 4.091353E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.792 | TFLOPs: 30.34 | 7: iteration 3030/ 5111 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.30 | learning rate: 8.526E-05 | global batch size: 256 | lm loss: 4.090023E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.778 | TFLOPs: 30.31 | 7: iteration 3040/ 5111 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.30 | learning rate: 8.472E-05 | global batch size: 256 | lm loss: 4.086731E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.915 | TFLOPs: 30.28 | 7: iteration 3050/ 5111 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.30 | learning rate: 8.419E-05 | global batch size: 256 | lm loss: 4.086572E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.821 | TFLOPs: 30.31 | 7: iteration 3060/ 5111 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.30 | learning rate: 8.365E-05 | global batch size: 256 | lm loss: 4.085883E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.046 | TFLOPs: 30.25 | 7: iteration 3070/ 5111 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.30 | learning rate: 8.312E-05 | global batch size: 256 | lm loss: 4.089173E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.217 | TFLOPs: 30.25 | 7: iteration 3080/ 5111 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.30 | learning rate: 8.259E-05 | global batch size: 256 | lm loss: 4.090842E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.924 | TFLOPs: 30.24 | 7: iteration 3090/ 5111 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.30 | learning rate: 8.205E-05 | global batch size: 256 | lm loss: 4.089574E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.658 | TFLOPs: 30.23 | 7: iteration 3100/ 5111 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.30 | learning rate: 8.152E-05 | global batch size: 256 | lm loss: 4.075991E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.732 | TFLOPs: 30.20 | 7: iteration 3110/ 5111 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.30 | learning rate: 8.099E-05 | global batch size: 256 | lm loss: 4.084764E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.501 | TFLOPs: 30.23 | 7: iteration 3120/ 5111 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.30 | learning rate: 8.047E-05 | global batch size: 256 | lm loss: 4.079430E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.853 | TFLOPs: 30.14 | 7: iteration 3130/ 5111 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.30 | learning rate: 7.994E-05 | global batch size: 256 | lm loss: 4.075006E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.876 | TFLOPs: 30.21 | 7: iteration 3140/ 5111 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.30 | learning rate: 7.941E-05 | global batch size: 256 | lm loss: 4.073762E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.621 | TFLOPs: 30.20 | 7: iteration 3150/ 5111 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.30 | learning rate: 7.889E-05 | global batch size: 256 | lm loss: 4.071839E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.978 | TFLOPs: 30.18 | 7: iteration 3160/ 5111 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.30 | learning rate: 7.836E-05 | global batch size: 256 | lm loss: 4.078580E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.191 | TFLOPs: 30.18 | 7: iteration 3170/ 5111 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.30 | learning rate: 7.784E-05 | global batch size: 256 | lm loss: 4.068999E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.261 | TFLOPs: 30.19 | 7: iteration 3180/ 5111 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.30 | learning rate: 7.732E-05 | global batch size: 256 | lm loss: 4.075940E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.743 | TFLOPs: 30.17 | 7: iteration 3190/ 5111 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.30 | learning rate: 7.680E-05 | global batch size: 256 | lm loss: 4.074390E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.231 | TFLOPs: 30.15 | 7: iteration 3200/ 5111 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.30 | learning rate: 7.628E-05 | global batch size: 256 | lm loss: 4.075167E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.630 | TFLOPs: 30.16 | 7: iteration 3210/ 5111 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.30 | learning rate: 7.576E-05 | global batch size: 256 | lm loss: 4.073975E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.839 | TFLOPs: 30.21 | 7: iteration 3220/ 5111 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.30 | learning rate: 7.525E-05 | global batch size: 256 | lm loss: 4.072756E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.620 | TFLOPs: 30.20 | 7: iteration 3230/ 5111 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.30 | learning rate: 7.473E-05 | global batch size: 256 | lm loss: 4.076358E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.805 | TFLOPs: 30.20 | 7: iteration 3240/ 5111 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.30 | learning rate: 7.422E-05 | global batch size: 256 | lm loss: 4.060453E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.101 | TFLOPs: 30.18 | 7: iteration 3250/ 5111 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.30 | learning rate: 7.371E-05 | global batch size: 256 | lm loss: 4.057843E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.715 | TFLOPs: 30.20 | 7: iteration 3260/ 5111 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.30 | learning rate: 7.320E-05 | global batch size: 256 | lm loss: 4.065533E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.194 | TFLOPs: 30.22 | 7: iteration 3270/ 5111 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.30 | learning rate: 7.269E-05 | global batch size: 256 | lm loss: 4.060574E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.126 | TFLOPs: 30.22 | 7: iteration 3280/ 5111 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.30 | learning rate: 7.218E-05 | global batch size: 256 | lm loss: 4.070068E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.077 | TFLOPs: 30.18 | 7: iteration 3290/ 5111 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.30 | learning rate: 7.167E-05 | global batch size: 256 | lm loss: 4.066012E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.187 | TFLOPs: 30.18 | 7: iteration 3300/ 5111 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.30 | learning rate: 7.117E-05 | global batch size: 256 | lm loss: 4.064603E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.340 | TFLOPs: 30.22 | 7: iteration 3310/ 5111 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.30 | learning rate: 7.067E-05 | global batch size: 256 | lm loss: 4.064230E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.899 | TFLOPs: 30.17 | 7: iteration 3320/ 5111 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.30 | learning rate: 7.016E-05 | global batch size: 256 | lm loss: 4.064600E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.386 | TFLOPs: 30.19 | 7: iteration 3330/ 5111 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.30 | learning rate: 6.966E-05 | global batch size: 256 | lm loss: 4.058438E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.565 | TFLOPs: 30.20 | 7: iteration 3340/ 5111 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.30 | learning rate: 6.917E-05 | global batch size: 256 | lm loss: 4.054063E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.298 | TFLOPs: 30.19 | 7: iteration 3350/ 5111 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.30 | learning rate: 6.867E-05 | global batch size: 256 | lm loss: 4.054053E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.385 | TFLOPs: 30.15 | 7: iteration 3360/ 5111 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.30 | learning rate: 6.817E-05 | global batch size: 256 | lm loss: 4.057406E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.056 | TFLOPs: 30.18 | 7: iteration 3370/ 5111 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.30 | learning rate: 6.768E-05 | global batch size: 256 | lm loss: 4.054649E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.535 | TFLOPs: 30.16 | 7: iteration 3380/ 5111 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.30 | learning rate: 6.719E-05 | global batch size: 256 | lm loss: 4.051295E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.512 | TFLOPs: 30.16 | 7: iteration 3390/ 5111 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.30 | learning rate: 6.670E-05 | global batch size: 256 | lm loss: 4.058338E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.041 | TFLOPs: 30.18 | 7: iteration 3400/ 5111 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.30 | learning rate: 6.621E-05 | global batch size: 256 | lm loss: 4.059842E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.320 | TFLOPs: 30.19 | 7: iteration 3410/ 5111 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.30 | learning rate: 6.572E-05 | global batch size: 256 | lm loss: 4.052704E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.522 | TFLOPs: 30.19 | 7: iteration 3420/ 5111 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.30 | learning rate: 6.523E-05 | global batch size: 256 | lm loss: 4.053233E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.242 | TFLOPs: 30.18 | 7: iteration 3430/ 5111 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.30 | learning rate: 6.475E-05 | global batch size: 256 | lm loss: 4.049529E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.481 | TFLOPs: 30.19 | 7: iteration 3440/ 5111 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.30 | learning rate: 6.427E-05 | global batch size: 256 | lm loss: 4.053572E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.848 | TFLOPs: 30.17 | 7: iteration 3450/ 5111 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.30 | learning rate: 6.379E-05 | global batch size: 256 | lm loss: 4.047133E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.149 | TFLOPs: 30.22 | 7: iteration 3460/ 5111 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.30 | learning rate: 6.331E-05 | global batch size: 256 | lm loss: 4.049360E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.167 | TFLOPs: 30.18 | 7: iteration 3470/ 5111 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.30 | learning rate: 6.283E-05 | global batch size: 256 | lm loss: 4.040972E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.647 | TFLOPs: 30.20 | 7: iteration 3480/ 5111 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.30 | learning rate: 6.236E-05 | global batch size: 256 | lm loss: 4.046413E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.973 | TFLOPs: 30.18 | 7: iteration 3490/ 5111 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.30 | learning rate: 6.188E-05 | global batch size: 256 | lm loss: 4.047709E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.569 | TFLOPs: 30.16 | 7: iteration 3500/ 5111 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.30 | learning rate: 6.141E-05 | global batch size: 256 | lm loss: 4.042818E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.535 | TFLOPs: 30.16 | 7: iteration 3510/ 5111 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.30 | learning rate: 6.094E-05 | global batch size: 256 | lm loss: 4.038905E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.305 | TFLOPs: 30.15 | 7: iteration 3520/ 5111 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.30 | learning rate: 6.048E-05 | global batch size: 256 | lm loss: 4.039104E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.567 | TFLOPs: 30.16 | 7: iteration 3530/ 5111 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.30 | learning rate: 6.001E-05 | global batch size: 256 | lm loss: 4.033438E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.594 | TFLOPs: 30.16 | 7: iteration 3540/ 5111 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.30 | learning rate: 5.955E-05 | global batch size: 256 | lm loss: 4.043414E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.987 | TFLOPs: 30.18 | 7: iteration 3550/ 5111 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.30 | learning rate: 5.909E-05 | global batch size: 256 | lm loss: 4.042026E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.580 | TFLOPs: 30.16 | 7: iteration 3560/ 5111 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.30 | learning rate: 5.863E-05 | global batch size: 256 | lm loss: 4.037034E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.781 | TFLOPs: 30.17 | 7: iteration 3570/ 5111 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.30 | learning rate: 5.817E-05 | global batch size: 256 | lm loss: 4.037582E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.789 | TFLOPs: 30.17 | 7: iteration 3580/ 5111 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.30 | learning rate: 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norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.325 | TFLOPs: 30.19 | 7: iteration 3820/ 5111 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.30 | learning rate: 4.742E-05 | global batch size: 256 | lm loss: 4.021117E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.271 | TFLOPs: 30.15 | 7: iteration 3830/ 5111 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.30 | learning rate: 4.702E-05 | global batch size: 256 | lm loss: 4.013928E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.124 | TFLOPs: 30.18 | 7: iteration 3840/ 5111 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.30 | learning rate: 4.662E-05 | global batch size: 256 | lm loss: 4.012808E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.201 | TFLOPs: 30.15 | 7: iteration 3850/ 5111 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.30 | learning rate: 4.622E-05 | global batch size: 256 | lm loss: 4.016032E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.571 | TFLOPs: 30.20 | 7: iteration 3860/ 5111 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.30 | learning rate: 4.583E-05 | global batch size: 256 | lm loss: 4.016684E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.996 | TFLOPs: 30.21 | 7: iteration 3870/ 5111 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.30 | learning rate: 4.544E-05 | global batch size: 256 | lm loss: 4.016039E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.619 | TFLOPs: 30.20 | 7: iteration 3880/ 5111 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.30 | learning rate: 4.505E-05 | global batch size: 256 | lm loss: 4.018336E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.007 | TFLOPs: 30.21 | 7: iteration 3890/ 5111 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.30 | learning rate: 4.467E-05 | global batch size: 256 | lm loss: 4.015655E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.906 | TFLOPs: 30.21 | 7: iteration 3900/ 5111 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.30 | learning rate: 4.428E-05 | global batch size: 256 | lm loss: 4.011867E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.722 | TFLOPs: 30.20 | 7: iteration 3910/ 5111 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.30 | learning rate: 4.390E-05 | global batch size: 256 | lm loss: 4.006559E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.106 | TFLOPs: 30.18 | 7: iteration 3920/ 5111 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.30 | learning rate: 4.353E-05 | global batch size: 256 | lm loss: 4.013816E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.164 | TFLOPs: 30.18 | 7: iteration 3930/ 5111 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.30 | learning rate: 4.315E-05 | global batch size: 256 | lm loss: 4.005451E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.681 | TFLOPs: 30.17 | 7: iteration 3940/ 5111 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.30 | learning rate: 4.278E-05 | global batch size: 256 | lm loss: 4.009692E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.001 | TFLOPs: 30.18 | 7: iteration 3950/ 5111 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.30 | learning rate: 4.241E-05 | global batch size: 256 | lm loss: 4.014143E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.567 | TFLOPs: 30.13 | 7: iteration 3960/ 5111 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.30 | learning rate: 4.204E-05 | global batch size: 256 | lm loss: 4.018301E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.755 | TFLOPs: 30.06 | 7: iteration 3970/ 5111 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.30 | learning rate: 4.167E-05 | global batch size: 256 | lm loss: 4.007090E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.364 | TFLOPs: 30.15 | 7: iteration 3980/ 5111 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.30 | learning rate: 4.131E-05 | global batch size: 256 | lm loss: 4.002085E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.231 | TFLOPs: 30.15 | 7: iteration 3990/ 5111 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.30 | learning rate: 4.095E-05 | global batch size: 256 | lm loss: 4.001302E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.074 | TFLOPs: 30.14 | 0: [2023-03-17 00:15:44,485] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[4.0595726162397195e-05, 4.0595726162397195e-05, 4.0595726162397195e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 5111 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.30 | learning rate: 4.060E-05 | global batch size: 256 | lm loss: 4.009174E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.102 | TFLOPs: 30.14 | 0: steps: 4000 loss: 4.0239 iter time (s): 0.294 samples/sec: 869.288 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 4000 | lm loss value: 3.991393E+00 | lm loss PPL: 5.413022E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 4000 to checkpoints_146m2b7100mdedup 0: [2023-03-17 00:15:44,608] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2023-03-17 00:15:44,612] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step4000/layer_01-model_00-model_states.pt... 0: [2023-03-17 00:15:44,697] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step4000/layer_01-model_00-model_states.pt. 0: [2023-03-17 00:15:44,697] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step4000/layer_03-model_00-model_states.pt... 0: 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checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:15:44,984] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 0: [2023-03-17 00:15:44,984] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:15:44,984] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2023-03-17 00:15:44,984] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2023-03-17 00:15:44,984] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2023-03-17 00:15:44,985] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:15:44,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2023-03-17 00:15:44,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-17 00:15:44,986] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:15:44,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2023-03-17 00:15:44,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2023-03-17 00:15:44,986] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:15:44,994] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-17 00:15:44,994] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 5: [2023-03-17 00:15:44,994] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2023-03-17 00:15:44,994] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2023-03-17 00:15:44,994] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 2: [2023-03-17 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checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-17 00:15:44,996] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2023-03-17 00:15:44,996] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2023-03-17 00:15:44,996] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2023-03-17 00:15:44,996] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2023-03-17 00:15:45,004] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2023-03-17 00:15:45,004] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2023-03-17 00:15:45,004] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2023-03-17 00:15:45,004] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2023-03-17 00:15:45,004] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2023-03-17 00:15:45,004] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2023-03-17 00:15:45,005] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-17 00:15:45,005] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_146m2b7100mdedup 7: time (ms) | save-checkpoint: 405.67 7: iteration 4010/ 5111 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.35 | learning rate: 4.024E-05 | global batch size: 256 | lm loss: 4.003688E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 736.996 | TFLOPs: 25.80 | 7: iteration 4020/ 5111 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.30 | learning rate: 3.989E-05 | global batch size: 256 | lm loss: 3.999313E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.577 | TFLOPs: 30.23 | 7: iteration 4030/ 5111 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.30 | learning rate: 3.954E-05 | global batch size: 256 | lm loss: 4.008599E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.712 | TFLOPs: 30.20 | 7: iteration 4040/ 5111 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.30 | learning rate: 3.919E-05 | global batch size: 256 | lm loss: 3.992041E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.171 | TFLOPs: 30.18 | 7: iteration 4050/ 5111 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.30 | learning rate: 3.885E-05 | global batch size: 256 | lm loss: 4.000709E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.562 | TFLOPs: 30.16 | 7: iteration 4060/ 5111 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.30 | learning rate: 3.851E-05 | global batch size: 256 | lm loss: 4.004013E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.196 | TFLOPs: 30.18 | 7: iteration 4070/ 5111 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.30 | learning rate: 3.817E-05 | global batch size: 256 | lm loss: 3.999913E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.861 | TFLOPs: 30.21 | 7: iteration 4080/ 5111 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.31 | learning rate: 3.784E-05 | global batch size: 256 | lm loss: 3.995512E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.128 | TFLOPs: 29.31 | 7: iteration 4090/ 5111 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.30 | learning rate: 3.750E-05 | global batch size: 256 | lm loss: 4.004820E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.105 | TFLOPs: 30.18 | 7: iteration 4100/ 5111 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.30 | learning rate: 3.717E-05 | global batch size: 256 | lm loss: 4.008895E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.215 | TFLOPs: 30.15 | 7: iteration 4110/ 5111 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.30 | learning rate: 3.685E-05 | global batch size: 256 | lm loss: 3.996754E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.514 | TFLOPs: 30.16 | 7: iteration 4120/ 5111 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.30 | learning rate: 3.652E-05 | global batch size: 256 | lm loss: 4.000937E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.722 | TFLOPs: 29.89 | 7: iteration 4130/ 5111 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.30 | learning rate: 3.620E-05 | global batch size: 256 | lm loss: 3.996949E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.127 | TFLOPs: 30.18 | 7: iteration 4140/ 5111 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.30 | learning rate: 3.588E-05 | global batch size: 256 | lm loss: 3.991886E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.010 | TFLOPs: 30.14 | 7: iteration 4150/ 5111 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.30 | learning rate: 3.557E-05 | global batch size: 256 | lm loss: 3.998578E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.889 | TFLOPs: 30.14 | 7: iteration 4160/ 5111 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.30 | learning rate: 3.526E-05 | global batch size: 256 | lm loss: 3.998138E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.728 | TFLOPs: 30.17 | 7: iteration 4170/ 5111 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.30 | learning rate: 3.495E-05 | global batch size: 256 | lm loss: 3.985472E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.675 | TFLOPs: 30.16 | 7: iteration 4180/ 5111 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.30 | learning rate: 3.464E-05 | global batch size: 256 | lm loss: 3.994887E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.006 | TFLOPs: 30.14 | 7: iteration 4190/ 5111 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.30 | learning rate: 3.434E-05 | global batch size: 256 | lm loss: 3.994239E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.973 | TFLOPs: 30.14 | 7: iteration 4200/ 5111 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.30 | learning rate: 3.403E-05 | global batch size: 256 | lm loss: 3.990932E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.136 | TFLOPs: 30.15 | 7: iteration 4210/ 5111 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.30 | learning rate: 3.374E-05 | global batch size: 256 | lm loss: 3.996797E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.315 | TFLOPs: 30.12 | 7: iteration 4220/ 5111 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.30 | learning rate: 3.344E-05 | global batch size: 256 | lm loss: 3.997106E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.294 | TFLOPs: 30.12 | 7: iteration 4230/ 5111 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.30 | learning rate: 3.315E-05 | global batch size: 256 | lm loss: 3.997708E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.397 | TFLOPs: 30.12 | 7: iteration 4240/ 5111 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.30 | learning rate: 3.286E-05 | global batch size: 256 | lm loss: 3.988245E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.227 | TFLOPs: 30.15 | 7: iteration 4250/ 5111 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.30 | learning rate: 3.257E-05 | global batch size: 256 | lm loss: 3.991960E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.672 | TFLOPs: 30.16 | 7: iteration 4260/ 5111 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.30 | learning rate: 3.229E-05 | global batch size: 256 | lm loss: 3.999600E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.480 | TFLOPs: 30.16 | 7: iteration 4270/ 5111 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.30 | learning rate: 3.201E-05 | global batch size: 256 | lm loss: 3.994231E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.749 | TFLOPs: 29.82 | 7: iteration 4280/ 5111 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.30 | learning rate: 3.173E-05 | global batch size: 256 | lm loss: 3.995231E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.736 | TFLOPs: 30.03 | 7: iteration 4290/ 5111 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.30 | learning rate: 3.146E-05 | global batch size: 256 | lm loss: 3.981757E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.424 | TFLOPs: 30.16 | 7: iteration 4300/ 5111 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.30 | learning rate: 3.119E-05 | global batch size: 256 | lm loss: 3.988926E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.917 | TFLOPs: 30.10 | 7: iteration 4310/ 5111 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.30 | learning rate: 3.092E-05 | global batch size: 256 | lm loss: 3.984752E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.381 | TFLOPs: 30.15 | 7: iteration 4320/ 5111 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.30 | learning rate: 3.065E-05 | global batch size: 256 | lm loss: 3.987515E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.581 | TFLOPs: 30.13 | 7: iteration 4330/ 5111 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.30 | learning rate: 3.039E-05 | global batch size: 256 | lm loss: 3.986465E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.491 | TFLOPs: 30.12 | 7: iteration 4340/ 5111 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.30 | learning rate: 3.013E-05 | global batch size: 256 | lm loss: 3.984028E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.135 | TFLOPs: 30.11 | 7: iteration 4350/ 5111 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time 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consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.30 | learning rate: 2.840E-05 | global batch size: 256 | lm loss: 3.979977E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.000 | TFLOPs: 30.18 | 7: iteration 4420/ 5111 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.30 | learning rate: 2.817E-05 | global batch size: 256 | lm loss: 3.981298E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.631 | TFLOPs: 30.16 | 7: iteration 4430/ 5111 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.30 | learning rate: 2.794E-05 | global batch size: 256 | lm loss: 3.980435E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.986 | TFLOPs: 30.14 | 7: iteration 4440/ 5111 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.30 | learning rate: 2.771E-05 | global batch size: 256 | lm loss: 3.987173E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.286 | TFLOPs: 30.15 | 7: iteration 4450/ 5111 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.30 | learning rate: 2.749E-05 | global batch size: 256 | lm loss: 3.982090E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.845 | TFLOPs: 30.17 | 7: iteration 4460/ 5111 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.30 | learning rate: 2.727E-05 | global batch size: 256 | lm loss: 3.978238E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.776 | TFLOPs: 30.17 | 7: iteration 4470/ 5111 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.30 | learning rate: 2.705E-05 | global batch size: 256 | lm loss: 3.979762E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.483 | TFLOPs: 30.16 | 7: iteration 4480/ 5111 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.30 | learning rate: 2.683E-05 | global batch size: 256 | lm loss: 3.989758E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.989 | TFLOPs: 30.18 | 7: iteration 4490/ 5111 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.30 | learning rate: 2.662E-05 | global batch size: 256 | lm loss: 3.975772E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.613 | TFLOPs: 30.06 | 7: iteration 4500/ 5111 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.30 | learning rate: 2.641E-05 | global batch size: 256 | lm loss: 3.984268E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.548 | TFLOPs: 30.06 | 7: iteration 4510/ 5111 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.30 | learning rate: 2.621E-05 | global batch size: 256 | lm loss: 3.973732E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.670 | TFLOPs: 30.02 | 7: iteration 4520/ 5111 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.30 | learning rate: 2.600E-05 | global batch size: 256 | lm loss: 3.979159E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.852 | TFLOPs: 30.03 | 7: iteration 4530/ 5111 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.30 | learning rate: 2.580E-05 | global batch size: 256 | lm loss: 3.984152E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.952 | TFLOPs: 30.03 | 7: iteration 4540/ 5111 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.30 | learning rate: 2.561E-05 | global batch size: 256 | lm loss: 3.979834E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.211 | TFLOPs: 30.04 | 7: iteration 4550/ 5111 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.30 | learning rate: 2.542E-05 | global batch size: 256 | lm loss: 3.982209E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.641 | TFLOPs: 30.06 | 7: iteration 4560/ 5111 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.30 | learning rate: 2.523E-05 | global batch size: 256 | lm loss: 3.975559E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.020 | TFLOPs: 30.04 | 7: iteration 4570/ 5111 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.30 | learning rate: 2.504E-05 | global batch size: 256 | lm loss: 3.977555E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.621 | TFLOPs: 29.95 | 7: iteration 4580/ 5111 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.30 | learning rate: 2.486E-05 | global batch size: 256 | lm loss: 3.977110E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.343 | TFLOPs: 30.01 | 7: iteration 4590/ 5111 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.30 | learning rate: 2.468E-05 | global batch size: 256 | lm loss: 3.973891E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.935 | TFLOPs: 30.00 | 7: iteration 4600/ 5111 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.30 | learning rate: 2.450E-05 | global batch size: 256 | lm loss: 3.972954E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.034 | TFLOPs: 30.04 | 7: iteration 4610/ 5111 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.30 | learning rate: 2.433E-05 | global batch size: 256 | lm loss: 3.977752E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.116 | TFLOPs: 30.04 | 7: iteration 4620/ 5111 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.30 | learning rate: 2.416E-05 | global batch size: 256 | lm loss: 3.970182E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.081 | TFLOPs: 30.07 | 7: iteration 4630/ 5111 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.30 | learning rate: 2.399E-05 | global batch size: 256 | lm loss: 3.979225E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.965 | TFLOPs: 30.03 | 7: iteration 4640/ 5111 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.30 | learning rate: 2.383E-05 | global batch size: 256 | lm loss: 3.973322E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.764 | TFLOPs: 30.03 | 7: iteration 4650/ 5111 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.30 | learning rate: 2.367E-05 | global batch size: 256 | lm loss: 3.981254E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.496 | TFLOPs: 30.12 | 7: iteration 4660/ 5111 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.30 | learning rate: 2.352E-05 | global batch size: 256 | lm loss: 3.972275E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.815 | TFLOPs: 30.13 | 7: iteration 4670/ 5111 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.30 | learning rate: 2.336E-05 | global batch size: 256 | lm loss: 3.972377E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.607 | TFLOPs: 30.16 | 7: iteration 4680/ 5111 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.30 | learning rate: 2.321E-05 | global batch size: 256 | lm loss: 3.970715E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.512 | TFLOPs: 30.16 | 7: iteration 4690/ 5111 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 0.30 | learning rate: 2.307E-05 | global batch size: 256 | lm loss: 3.975588E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.204 | TFLOPs: 30.15 | 7: iteration 4700/ 5111 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 0.30 | learning rate: 2.292E-05 | global batch size: 256 | lm loss: 3.981462E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.369 | TFLOPs: 30.15 | 7: iteration 4710/ 5111 | consumed samples: 1205760 | consumed tokens: 2469396480 | elapsed time per iteration (s): 0.30 | learning rate: 2.278E-05 | global batch size: 256 | lm loss: 3.968371E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.819 | TFLOPs: 30.13 | 7: iteration 4720/ 5111 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 0.30 | learning rate: 2.265E-05 | global batch size: 256 | lm loss: 3.971725E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.862 | TFLOPs: 30.14 | 7: iteration 4730/ 5111 | consumed samples: 1210880 | consumed tokens: 2479882240 | elapsed time per iteration (s): 0.30 | learning rate: 2.251E-05 | global batch size: 256 | lm loss: 3.971780E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.038 | TFLOPs: 30.14 | 7: iteration 4740/ 5111 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.30 | learning rate: 2.239E-05 | global batch size: 256 | lm loss: 3.978746E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.512 | TFLOPs: 30.16 | 7: iteration 4750/ 5111 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.30 | learning rate: 2.226E-05 | global batch size: 256 | lm loss: 3.970771E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.082 | TFLOPs: 30.14 | 7: iteration 4760/ 5111 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.30 | learning rate: 2.214E-05 | global batch size: 256 | lm loss: 3.973405E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.002 | TFLOPs: 30.14 | 7: iteration 4770/ 5111 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.30 | learning rate: 2.202E-05 | global batch size: 256 | lm loss: 3.969441E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.233 | TFLOPs: 30.15 | 7: iteration 4780/ 5111 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 0.30 | learning rate: 2.190E-05 | global batch size: 256 | lm loss: 3.976645E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.163 | TFLOPs: 30.15 | 7: iteration 4790/ 5111 | consumed samples: 1226240 | consumed tokens: 2511339520 | elapsed time per iteration (s): 0.30 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 3.978249E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.386 | TFLOPs: 30.15 | 7: iteration 4800/ 5111 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 0.30 | learning rate: 2.168E-05 | global batch size: 256 | lm loss: 3.963944E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.224 | TFLOPs: 30.15 | 7: iteration 4810/ 5111 | consumed samples: 1231360 | consumed tokens: 2521825280 | elapsed time per iteration (s): 0.30 | learning rate: 2.157E-05 | global batch size: 256 | lm loss: 3.967069E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.773 | TFLOPs: 30.13 | 7: iteration 4820/ 5111 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.30 | learning rate: 2.147E-05 | global batch size: 256 | lm loss: 3.968826E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.643 | TFLOPs: 30.13 | 7: iteration 4830/ 5111 | consumed samples: 1236480 | consumed tokens: 2532311040 | elapsed time per iteration (s): 0.30 | learning rate: 2.137E-05 | global batch size: 256 | lm loss: 3.970454E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.748 | TFLOPs: 30.13 | 7: iteration 4840/ 5111 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 0.30 | learning rate: 2.128E-05 | global batch size: 256 | lm loss: 3.966489E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.899 | TFLOPs: 30.14 | 7: iteration 4850/ 5111 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 0.30 | learning rate: 2.119E-05 | global batch size: 256 | lm loss: 3.963302E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.638 | TFLOPs: 30.13 | 7: iteration 4860/ 5111 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 0.30 | learning rate: 2.110E-05 | global batch size: 256 | lm loss: 3.967942E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.669 | TFLOPs: 30.13 | 7: iteration 4870/ 5111 | consumed samples: 1246720 | consumed tokens: 2553282560 | elapsed time per iteration (s): 0.30 | learning rate: 2.101E-05 | global batch size: 256 | lm loss: 3.976141E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.490 | TFLOPs: 30.16 | 7: iteration 4880/ 5111 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 0.30 | learning rate: 2.093E-05 | global batch size: 256 | lm loss: 3.976132E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.042 | TFLOPs: 30.14 | 7: iteration 4890/ 5111 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 0.30 | learning rate: 2.085E-05 | global batch size: 256 | lm loss: 3.964550E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.780 | TFLOPs: 30.13 | 7: iteration 4900/ 5111 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.30 | learning rate: 2.078E-05 | global batch size: 256 | lm loss: 3.962840E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.274 | TFLOPs: 30.15 | 7: iteration 4910/ 5111 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.30 | learning rate: 2.070E-05 | global batch size: 256 | lm loss: 3.967094E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.575 | TFLOPs: 30.13 | 7: iteration 4920/ 5111 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.30 | learning rate: 2.064E-05 | global batch size: 256 | lm loss: 3.971904E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.651 | TFLOPs: 30.13 | 7: iteration 4930/ 5111 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.30 | learning rate: 2.057E-05 | global batch size: 256 | lm loss: 3.967162E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.616 | TFLOPs: 30.13 | 7: iteration 4940/ 5111 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.30 | learning rate: 2.051E-05 | global batch size: 256 | lm loss: 3.965318E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.558 | TFLOPs: 30.13 | 7: iteration 4950/ 5111 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.30 | learning rate: 2.045E-05 | global batch size: 256 | lm loss: 3.969573E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.921 | TFLOPs: 30.14 | 7: iteration 4960/ 5111 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.30 | learning rate: 2.040E-05 | global batch size: 256 | lm loss: 3.969924E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.167 | TFLOPs: 30.15 | 7: iteration 4970/ 5111 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.30 | learning rate: 2.035E-05 | global batch size: 256 | lm loss: 3.968839E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.217 | TFLOPs: 30.11 | 7: iteration 4980/ 5111 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.30 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 3.963801E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.436 | TFLOPs: 30.16 | 7: iteration 4990/ 5111 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.30 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 3.958809E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.143 | TFLOPs: 30.15 | 7: iteration 5000/ 5111 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.30 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 3.966874E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.767 | TFLOPs: 30.13 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 5000 | lm loss value: 3.927474E+00 | lm loss PPL: 5.077853E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 5000 to checkpoints_146m2b7100mdedup 0: [2023-03-17 00:20:42,876] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2023-03-17 00:20:42,881] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5000/layer_01-model_00-model_states.pt... 0: [2023-03-17 00:20:42,965] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5000/layer_01-model_00-model_states.pt. 0: [2023-03-17 00:20:42,966] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5000/layer_03-model_00-model_states.pt... 0: [2023-03-17 00:20:42,981] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5000/layer_03-model_00-model_states.pt. 0: [2023-03-17 00:20:42,981] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-17 00:20:43,261] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2023-03-17 00:20:43,261] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2023-03-17 00:20:43,261] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2023-03-17 00:20:43,258] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2023-03-17 00:20:43,259] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2023-03-17 00:20:43,259] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-17 00:20:43,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2023-03-17 00:20:43,259] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2023-03-17 00:20:43,259] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2023-03-17 00:20:43,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2023-03-17 00:20:43,262] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2023-03-17 00:20:43,262] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2023-03-17 00:20:43,262] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2023-03-17 00:20:43,266] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 3: [2023-03-17 00:20:43,266] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:20:43,266] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2023-03-17 00:20:43,266] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2023-03-17 00:20:43,266] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2023-03-17 00:20:43,266] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2023-03-17 00:20:43,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-17 00:20:43,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_146m2b7100mdedup 7: time (ms) | save-checkpoint: 408.34 7: iteration 5010/ 5111 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.35 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 3.958073E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 741.062 | TFLOPs: 25.94 | 7: iteration 5020/ 5111 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.30 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 3.957783E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.256 | TFLOPs: 30.26 | 7: iteration 5030/ 5111 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.30 | learning rate: 2.012E-05 | global batch size: 256 | lm loss: 3.956562E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.974 | TFLOPs: 30.21 | 7: iteration 5040/ 5111 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.30 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 3.961674E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.077 | TFLOPs: 30.18 | 7: iteration 5050/ 5111 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.30 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 3.963066E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.720 | TFLOPs: 30.17 | 7: iteration 5060/ 5111 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.30 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 3.967629E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.962 | TFLOPs: 30.17 | 7: iteration 5070/ 5111 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.30 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 3.958648E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.795 | TFLOPs: 30.17 | 7: iteration 5080/ 5111 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.30 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 3.969367E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.681 | TFLOPs: 30.03 | 7: iteration 5090/ 5111 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.30 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 3.961243E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.146 | TFLOPs: 30.15 | 7: iteration 5100/ 5111 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 3.960057E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.252 | TFLOPs: 30.15 | 7: iteration 5110/ 5111 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 3.945331E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.127 | TFLOPs: 30.18 | 0: [after training is done] datetime: 2023-03-17 00:21:16 0: saving checkpoint at iteration 5111 to checkpoints_146m2b7100mdedup 7: ----------------------------------------------------------------------------------------------------------------- 7: validation loss at the end of training for val data | lm loss value: 3.965167E+00 | lm loss PPL: 5.272906E+01 | 7: ----------------------------------------------------------------------------------------------------------------- 0: [2023-03-17 00:21:16,336] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5111 is begin to save! 0: [2023-03-17 00:21:16,339] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5111/layer_01-model_00-model_states.pt... 0: [2023-03-17 00:21:16,424] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/layer_01-model_00-model_states.pt. 0: [2023-03-17 00:21:16,424] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5111/layer_03-model_00-model_states.pt... 0: [2023-03-17 00:21:16,440] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/layer_03-model_00-model_states.pt. 0: [2023-03-17 00:21:16,441] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5111/layer_04-model_00-model_states.pt... 0: [2023-03-17 00:21:16,456] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/layer_07-model_00-model_states.pt. 0: [2023-03-17 00:21:16,502] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5111/layer_08-model_00-model_states.pt... 0: [2023-03-17 00:21:16,516] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/layer_08-model_00-model_states.pt. 0: [2023-03-17 00:21:16,517] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5111/layer_09-model_00-model_states.pt... 0: [2023-03-17 00:21:16,531] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/layer_09-model_00-model_states.pt. 0: [2023-03-17 00:21:16,532] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m2b7100mdedup/global_step5111/layer_10-model_00-model_states.pt... 0: [2023-03-17 00:21:16,547] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 6: [2023-03-17 00:21:16,712] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 1: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 1: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:21:16,712] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 2: [2023-03-17 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bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 5: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 7: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:21:16,712] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 3: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 2: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 2: [2023-03-17 00:21:16,712] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 7: 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checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:21:16,714] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 3: [2023-03-17 00:21:16,714] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 6: [2023-03-17 00:21:16,714] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2023-03-17 00:21:16,714] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 5: [2023-03-17 00:21:16,714] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2023-03-17 00:21:16,714] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2023-03-17 00:21:16,716] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 2: [2023-03-17 00:21:16,716] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:21:16,716] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2023-03-17 00:21:16,716] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 1: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 1: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 6: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 1: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 3: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 3: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 3: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 3: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 7: [2023-03-17 00:21:16,718] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:21:16,718] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2023-03-17 00:21:16,718] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 6: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 4: [2023-03-17 00:21:16,715] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-17 00:21:16,716] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 4: [2023-03-17 00:21:16,716] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2023-03-17 00:21:16,716] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2023-03-17 00:21:16,716] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 6: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 4: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:21:16,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 4: [2023-03-17 00:21:16,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2023-03-17 00:21:16,717] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 1: [2023-03-17 00:21:16,722] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:21:16,722] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2023-03-17 00:21:16,722] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 2: [2023-03-17 00:21:16,723] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:21:16,723] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-17 00:21:16,723] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 0: [2023-03-17 00:21:16,731] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m2b7100mdedup/global_step5111/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-17 00:21:16,731] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5111 is ready now! 0: successfully saved checkpoint at iteration 5111 to checkpoints_146m2b7100mdedup END 3326957: Fri 17 Mar 2023 12:21:28 AM EET