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 3_666_992 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-146m7b5100mdedup --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 3_666_992 --lr-warmup-samples 36_670 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_146m7b5100mdedup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_146m7b5100mdedup --load checkpoints_146m7b5100mdedup --train-weighted-split-paths-path train100mdedup.txt --valid-weighted-split-paths-path val.txt --data-impl mmap --deepspeed --deepspeed_config ds_configs/3326482.json --zero-stage 0 START 3326482: Thu 16 Mar 2023 10:48:52 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 49.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 48.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 47.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 37.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 39.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 43.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 45.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 40.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 47.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 43.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 39.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= 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 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 42.0c 79.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 43.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 39.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 44.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 38.0c 81.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 48.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 39.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 44.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= 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 49.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 50.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 0: Launching on nid006229 (0/8), master nid006229 port 9999, GPUs 8, CUDA: True 5: Launching on nid006234 (5/8), master nid006229 port 9999, GPUs 8, CUDA: True 6: Launching on nid006235 (6/8), master nid006229 port 9999, GPUs 8, CUDA: True 4: Launching on nid006233 (4/8), master nid006229 port 9999, GPUs 8, CUDA: True 3: Launching on nid006232 (3/8), master nid006229 port 9999, GPUs 8, CUDA: True 7: Launching on nid006236 (7/8), master nid006229 port 9999, GPUs 8, CUDA: True 2: Launching on nid006231 (2/8), master nid006229 port 9999, GPUs 8, CUDA: True 1: Launching on nid006230 (1/8), master nid006229 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/3326482.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-146m7b5100mdedup 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_146m7b5100mdedup 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 ................................ 3666992 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 36670 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_146m7b5100mdedup 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_146m7b5100mdedup 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 ................................... 3666992 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 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2023-03-16 22:50:27,142] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 7: > setting tensorboard ... 0: > initializing tensor model parallel with size 1 0: > initializing pipeline model parallel with size 1 0: > setting random seeds to 1234 ... 0: > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234 0: > compiling dataset index builder ... 0: make: Entering directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: make: Nothing to be done for 'default'. 0: make: Leaving directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: >>> done with dataset index builder. Compilation time: 0.106 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: ninja: no work to do. 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: [1/1] c++ layer_norm_cuda.o layer_norm_hip_kernel.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o fused_mix_prec_layer_norm_cuda.so 0: >>> done with compiling and loading fused kernels. Compilation time: 24.951 seconds 0: time to initialize megatron (seconds): 46.970 0: [after megatron is initialized] datetime: 2023-03-16 22:50:54 0: building GPT model ... 0: [2023-03-16 22:50:55,105] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2023-03-16 22:50:55,105] [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 22:50:55,106] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.67 GB, percent = 6.1% 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 22:50:57,108] [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 22:50:57,422] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2023-03-16 22:50:57,423] [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 22:50:57,423] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.69 GB, percent = 6.1% 0: setting training iterations to 14324 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2023-03-16 22:50:57,425] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2023-03-16 22:51:10,571] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2023-03-16 22:51:10,572] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2023-03-16 22:51:10,572] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2023-03-16 22:51:10,576] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2023-03-16 22:51:10,576] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2023-03-16 22:51:10,694] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2023-03-16 22:51:10,695] [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 22:51:10,695] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.37 GB, percent = 6.2% 3: ninja: no work to do. 3: Time to load utils op: 0.1751720905303955 seconds 3: Time to load utils op: 0.0005662441253662109 seconds 7: ninja: no work to do. 3: Time to load utils op: 0.3024907112121582 seconds 3: Time to load utils op: 0.3024890422821045 seconds 3: Time to load utils op: 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Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:11,341] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2023-03-16 22:51:11,342] [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 22:51:11,342] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:11,445] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2023-03-16 22:51:11,446] [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 22:51:11,446] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:11,551] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2023-03-16 22:51:11,552] [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 22:51:11,552] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:11,656] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2023-03-16 22:51:11,657] [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 22:51:11,657] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:11,763] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2023-03-16 22:51:11,764] [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 22:51:11,764] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:11,867] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2023-03-16 22:51:11,868] [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 22:51:11,868] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:11,977] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2023-03-16 22:51:11,978] [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 22:51:11,978] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:12,082] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2023-03-16 22:51:12,083] [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 22:51:12,083] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.52 GB, percent = 6.3% 0: [2023-03-16 22:51:12,084] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2023-03-16 22:51:12,084] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2023-03-16 22:51:12,084] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2023-03-16 22:51:12,084] [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 22:51:12,084] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2023-03-16 22:51:12,085] [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 22:51:12,085] [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 22:51:12,085] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] amp_params ................... False 0: [2023-03-16 22:51:12,085] [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 22:51:12,085] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] comms_config ................. 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2023-03-16 22:51:12,085] [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 22:51:12,085] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] dump_state ................... False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2023-03-16 22:51:12,085] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2023-03-16 22:51:12,086] [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 22:51:12,086] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] monitor_config ............... 0: [2023-03-16 22:51:12,086] [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 22:51:12,086] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] pld_params ................... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] world_size ................... 64 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2023-03-16 22:51:12,086] [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 22:51:12,086] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2023-03-16 22:51:12,086] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2023-03-16 22:51:12,087] [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: 0.00042724609375 seconds 0: [2023-03-16 22:51:12,087] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2023-03-16 22:51:12,099] [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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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_146m7b5100mdedup 0: will not load any checkpoints and will start from random 7: [2023-03-16 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,108] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,110] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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 22:51:12,109] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m7b5100mdedup/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: 6.35 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 22:51:12 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 3666992 0: validation: 3840 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 0.023682 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 (45867) is larger than 95.0% of number of samples per epoch (48281), setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 1.734165 0: using: 0: number of documents: 409500 0: number of epochs: 76 0: sequence length: 2048 0: total number of samples: 3669406 0: > elasped time to build and save sample-idx mapping (seconds): 0.114167 0: > building shuffle index with split [0, 3669406) and [3669406, 3669406) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.086405 0: > loading doc-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document_train_indexmap_3666992ns_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_3666992ns_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_3666992ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.013 seconds 0: total number of samples: 3669407 0: total number of epochs: 76 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 0.021896 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_3840ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_3840ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_3840ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.067 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 22:51:28 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: 17787.68 | train/valid/test-data-iterators-setup: 15310.58 0: [000-000] 0.1465B / 0.1063B 0: [before the start of training step] datetime: 2023-03-16 22:51:28 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 2729.29736328125 | max allocated: 22586.583984375 | reserved: 23360.0 | max reserved: 23360.0 7: iteration 10/ 14324 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.47 | learning rate: 1.396E-05 | global batch size: 256 | lm loss: 1.055927E+01 | grad norm: 3.782 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 174.332 | TFLOPs: 6.10 | 7: iteration 20/ 14324 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.30 | learning rate: 2.792E-05 | global batch size: 256 | lm loss: 9.630256E+00 | grad norm: 2.017 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.243 | TFLOPs: 30.01 | 7: iteration 30/ 14324 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.32 | learning rate: 4.189E-05 | global batch size: 256 | lm loss: 9.198911E+00 | grad norm: 1.755 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.743 | TFLOPs: 28.38 | 7: iteration 40/ 14324 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.30 | learning rate: 5.585E-05 | global batch size: 256 | lm loss: 8.704473E+00 | grad norm: 1.578 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.115 | TFLOPs: 29.76 | 7: iteration 50/ 14324 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.30 | learning rate: 6.981E-05 | global batch size: 256 | lm loss: 8.211310E+00 | grad norm: 1.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.354 | TFLOPs: 29.63 | 7: iteration 60/ 14324 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.30 | learning rate: 8.377E-05 | global batch size: 256 | lm loss: 7.695738E+00 | grad norm: 0.921 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.274 | TFLOPs: 29.59 | 7: iteration 70/ 14324 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.31 | learning rate: 9.774E-05 | global batch size: 256 | lm loss: 7.283068E+00 | grad norm: 1.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.014 | TFLOPs: 28.81 | 7: iteration 80/ 14324 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.30 | learning rate: 1.117E-04 | global batch size: 256 | lm loss: 7.016049E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.562 | TFLOPs: 29.71 | 7: iteration 90/ 14324 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.30 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 6.864298E+00 | grad norm: 0.891 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.668 | TFLOPs: 29.57 | 7: iteration 100/ 14324 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.32 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 6.729608E+00 | grad norm: 0.666 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.946 | TFLOPs: 27.90 | 7: iteration 110/ 14324 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.32 | learning rate: 1.536E-04 | global batch size: 256 | lm loss: 6.621904E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.530 | TFLOPs: 28.06 | 7: iteration 120/ 14324 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.31 | learning rate: 1.675E-04 | global batch size: 256 | lm loss: 6.514200E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.918 | TFLOPs: 28.74 | 7: iteration 130/ 14324 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.32 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 6.434467E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.215 | TFLOPs: 28.40 | 7: iteration 140/ 14324 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.31 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 6.383877E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.335 | TFLOPs: 29.17 | 7: iteration 150/ 14324 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.342880E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.124 | TFLOPs: 29.17 | 7: iteration 160/ 14324 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.283847E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.037 | TFLOPs: 28.78 | 7: iteration 170/ 14324 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.246589E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.315 | TFLOPs: 28.44 | 7: iteration 180/ 14324 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.216254E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.345 | TFLOPs: 28.93 | 7: iteration 190/ 14324 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.174171E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.442 | TFLOPs: 29.14 | 7: iteration 200/ 14324 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.150792E+00 | grad norm: 0.641 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.252 | TFLOPs: 29.84 | 7: iteration 210/ 14324 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.133034E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.942 | TFLOPs: 29.54 | 7: iteration 220/ 14324 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.106325E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.598 | TFLOPs: 29.88 | 7: iteration 230/ 14324 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.086203E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.684 | TFLOPs: 29.04 | 7: iteration 240/ 14324 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.065554E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.745 | TFLOPs: 28.56 | 7: iteration 250/ 14324 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.031976E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.203 | TFLOPs: 29.59 | 7: iteration 260/ 14324 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.029430E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.618 | TFLOPs: 29.04 | 7: iteration 270/ 14324 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.993270E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.554 | TFLOPs: 29.01 | 7: iteration 280/ 14324 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.987026E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.701 | TFLOPs: 28.80 | 7: iteration 290/ 14324 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.959155E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.620 | TFLOPs: 29.43 | 7: iteration 300/ 14324 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.966214E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.268 | TFLOPs: 28.40 | 7: iteration 310/ 14324 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.926727E+00 | grad norm: 0.790 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.877 | TFLOPs: 27.69 | 7: iteration 320/ 14324 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.33 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.908594E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 770.915 | TFLOPs: 26.99 | 7: iteration 330/ 14324 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.889329E+00 | grad norm: 1.120 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.413 | TFLOPs: 28.48 | 7: iteration 340/ 14324 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.878964E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.655 | TFLOPs: 28.62 | 7: iteration 350/ 14324 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.825268E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.258 | TFLOPs: 29.38 | 7: iteration 360/ 14324 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.824981E+00 | grad norm: 0.717 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.377 | TFLOPs: 29.35 | 7: iteration 370/ 14324 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.787111E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.440 | TFLOPs: 29.28 | 7: iteration 380/ 14324 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.763755E+00 | grad norm: 1.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.491 | TFLOPs: 28.76 | 7: iteration 390/ 14324 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.30 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.761613E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.181 | TFLOPs: 29.48 | 7: iteration 400/ 14324 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.707981E+00 | grad norm: 0.800 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.659 | TFLOPs: 28.94 | 7: iteration 410/ 14324 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.695464E+00 | grad norm: 0.855 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.258 | TFLOPs: 29.17 | 7: iteration 420/ 14324 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.31 | 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| 7: iteration 540/ 14324 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.30 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.417822E+00 | grad norm: 0.713 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.400 | TFLOPs: 29.42 | 7: iteration 550/ 14324 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.33 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.399277E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 779.295 | TFLOPs: 27.28 | 7: iteration 560/ 14324 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.389191E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.524 | TFLOPs: 29.18 | 7: iteration 570/ 14324 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.364566E+00 | grad norm: 0.627 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.312 | TFLOPs: 29.03 | 7: iteration 580/ 14324 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.33 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.346229E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.379 | TFLOPs: 27.46 | 7: iteration 590/ 14324 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.313046E+00 | grad norm: 0.871 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.587 | TFLOPs: 29.11 | 7: iteration 600/ 14324 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.309611E+00 | grad norm: 0.738 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.164 | TFLOPs: 28.82 | 7: iteration 610/ 14324 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.30 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.304350E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.933 | TFLOPs: 30.00 | 7: iteration 620/ 14324 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.32 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.273026E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.740 | TFLOPs: 28.31 | 7: iteration 630/ 14324 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.260481E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.490 | TFLOPs: 29.21 | 7: iteration 640/ 14324 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.32 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.253625E+00 | grad norm: 0.738 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.330 | TFLOPs: 28.33 | 7: iteration 650/ 14324 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.30 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.224948E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.519 | TFLOPs: 29.56 | 7: iteration 660/ 14324 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.30 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.208829E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.912 | TFLOPs: 29.47 | 7: iteration 670/ 14324 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.30 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.196676E+00 | grad norm: 0.591 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.785 | TFLOPs: 29.54 | 7: iteration 680/ 14324 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.30 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.173365E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.733 | TFLOPs: 29.85 | 7: iteration 690/ 14324 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 5.157691E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.978 | TFLOPs: 28.67 | 7: iteration 700/ 14324 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 5.145880E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.351 | TFLOPs: 29.07 | 7: iteration 710/ 14324 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.30 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 5.137225E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.699 | TFLOPs: 29.68 | 7: iteration 720/ 14324 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 5.099785E+00 | grad norm: 0.908 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.530 | TFLOPs: 28.79 | 7: iteration 730/ 14324 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.30 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 5.114073E+00 | grad norm: 0.883 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.796 | TFLOPs: 29.57 | 7: iteration 740/ 14324 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 5.110020E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.348 | TFLOPs: 28.89 | 7: iteration 750/ 14324 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.30 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 5.101899E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.597 | TFLOPs: 30.27 | 7: iteration 760/ 14324 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 5.058813E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.604 | TFLOPs: 29.25 | 7: iteration 770/ 14324 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 5.046212E+00 | grad norm: 0.915 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.942 | TFLOPs: 28.91 | 7: iteration 780/ 14324 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 5.045917E+00 | grad norm: 0.708 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.243 | TFLOPs: 29.06 | 7: iteration 790/ 14324 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.30 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 5.032847E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.351 | TFLOPs: 29.45 | 7: iteration 800/ 14324 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.30 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 5.002472E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.901 | TFLOPs: 29.65 | 7: iteration 810/ 14324 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.30 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.995081E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.860 | TFLOPs: 29.68 | 7: iteration 820/ 14324 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.30 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.981113E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.750 | TFLOPs: 29.85 | 7: iteration 830/ 14324 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.30 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.976137E+00 | grad norm: 0.855 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.725 | TFLOPs: 29.40 | 7: iteration 840/ 14324 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 4.974958E+00 | grad norm: 0.889 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.352 | TFLOPs: 29.24 | 7: iteration 850/ 14324 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 4.952711E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.999 | TFLOPs: 29.20 | 7: iteration 860/ 14324 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 4.932970E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.941 | TFLOPs: 29.19 | 7: iteration 870/ 14324 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.30 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 4.930206E+00 | grad norm: 0.787 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.529 | TFLOPs: 29.74 | 7: iteration 880/ 14324 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.32 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 4.917576E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.172 | TFLOPs: 28.01 | 7: iteration 890/ 14324 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.30 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 4.904571E+00 | grad norm: 0.770 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.282 | TFLOPs: 29.42 | 7: iteration 900/ 14324 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 4.898451E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.685 | TFLOPs: 29.36 | 7: iteration 910/ 14324 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.32 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 4.882013E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.042 | TFLOPs: 28.29 | 7: iteration 920/ 14324 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 4.872270E+00 | grad norm: 0.874 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.398 | TFLOPs: 29.28 | 7: iteration 930/ 14324 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.30 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 4.871222E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.432 | TFLOPs: 29.91 | 7: iteration 940/ 14324 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.30 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 4.846873E+00 | grad norm: 0.592 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.020 | TFLOPs: 29.79 | 7: iteration 950/ 14324 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.30 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 4.847904E+00 | grad norm: 0.807 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.241 | TFLOPs: 30.11 | 7: iteration 960/ 14324 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.33 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 4.835037E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.371 | TFLOPs: 27.53 | 7: iteration 970/ 14324 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.30 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 4.804391E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.080 | TFLOPs: 29.69 | 7: iteration 980/ 14324 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.30 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 4.805869E+00 | grad norm: 0.739 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.256 | TFLOPs: 29.80 | 7: iteration 990/ 14324 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 4.792242E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.144 | TFLOPs: 29.03 | 7: iteration 1000/ 14324 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 4.775282E+00 | grad norm: 0.812 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.431 | TFLOPs: 29.21 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 1000 | lm loss value: 4.770753E+00 | lm loss PPL: 1.180081E+02 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 1000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 22:56:49,115] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2023-03-16 22:56:49,198] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step1000/layer_01-model_00-model_states.pt... 0: [2023-03-16 22:56:49,286] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/layer_01-model_00-model_states.pt. 0: 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2023-03-16 22:56:49,584] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2023-03-16 22:56:49,584] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2023-03-16 22:56:49,584] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2023-03-16 22:56:49,584] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2023-03-16 22:56:49,584] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2023-03-16 22:56:49,584] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 7: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 7: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-16 22:56:49,590] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2023-03-16 22:56:49,590] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2023-03-16 22:56:49,590] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2023-03-16 22:56:49,590] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-16 22:56:49,590] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2023-03-16 22:56:49,590] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-16 22:56:49,590] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-16 22:56:49,590] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-16 22:56:49,590] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-16 22:56:49,590] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-16 22:56:49,590] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-16 22:56:49,590] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2023-03-16 22:56:49,590] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2023-03-16 22:56:49,589] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2023-03-16 22:56:49,589] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2023-03-16 22:56:49,589] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2023-03-16 22:56:49,589] [INFO] [torch_checkpoint_engine.py:27:commit] 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checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2023-03-16 22:56:49,592] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2023-03-16 22:56:49,592] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2023-03-16 22:56:49,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2023-03-16 22:56:49,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2023-03-16 22:56:49,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2023-03-16 22:56:49,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2023-03-16 22:56:49,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-16 22:56:49,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-16 22:56:49,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-16 22:56:49,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2023-03-16 22:56:49,593] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2023-03-16 22:56:49,593] [INFO] 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checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2023-03-16 22:56:49,598] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2023-03-16 22:56:49,598] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2023-03-16 22:56:49,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-16 22:56:49,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-16 22:56:49,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-16 22:56:49,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-16 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checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-16 22:56:49,601] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2023-03-16 22:56:49,601] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2023-03-16 22:56:49,601] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2023-03-16 22:56:49,601] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2023-03-16 22:56:49,601] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: [2023-03-16 22:56:49,605] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 22:56:49,605] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 498.82 7: iteration 1010/ 14324 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.37 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 4.782314E+00 | grad norm: 0.789 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 697.116 | TFLOPs: 24.40 | 7: iteration 1020/ 14324 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.30 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 4.759441E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.880 | TFLOPs: 30.03 | 7: iteration 1030/ 14324 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.31 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 4.759040E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.804 | TFLOPs: 29.15 | 7: iteration 1040/ 14324 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.29 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 4.743702E+00 | grad norm: 0.591 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.741 | TFLOPs: 30.41 | 7: iteration 1050/ 14324 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.29 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 4.730752E+00 | grad norm: 0.721 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.158 | TFLOPs: 30.50 | 7: iteration 1060/ 14324 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.30 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 4.722951E+00 | grad norm: 0.702 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.050 | TFLOPs: 30.14 | 7: iteration 1070/ 14324 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.30 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 4.716268E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.297 | TFLOPs: 30.05 | 7: iteration 1080/ 14324 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.30 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 4.688438E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.701 | TFLOPs: 29.54 | 7: iteration 1090/ 14324 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.30 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 4.694901E+00 | grad norm: 0.682 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.554 | TFLOPs: 30.27 | 7: iteration 1100/ 14324 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.30 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 4.679292E+00 | grad norm: 0.778 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.296 | TFLOPs: 30.15 | 7: iteration 1110/ 14324 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.31 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 4.682069E+00 | grad norm: 0.797 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.967 | TFLOPs: 28.84 | 7: iteration 1120/ 14324 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.30 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 4.677617E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.988 | TFLOPs: 29.86 | 7: iteration 1130/ 14324 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.31 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 4.654902E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.229 | TFLOPs: 28.61 | 7: iteration 1140/ 14324 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.31 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 4.641772E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.733 | TFLOPs: 28.91 | 7: iteration 1150/ 14324 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.31 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 4.641389E+00 | grad norm: 0.764 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.319 | TFLOPs: 28.79 | 7: iteration 1160/ 14324 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.30 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 4.622406E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.689 | TFLOPs: 29.71 | 7: iteration 1170/ 14324 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.30 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 4.631745E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.632 | TFLOPs: 30.06 | 7: iteration 1180/ 14324 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.30 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 4.620250E+00 | grad norm: 0.875 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.382 | TFLOPs: 29.38 | 7: iteration 1190/ 14324 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.30 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 4.611406E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.971 | TFLOPs: 30.35 | 7: iteration 1200/ 14324 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.30 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 4.597390E+00 | grad norm: 0.812 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.542 | TFLOPs: 29.67 | 7: iteration 1210/ 14324 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.30 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 4.602757E+00 | grad norm: 0.818 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.293 | TFLOPs: 30.22 | 7: iteration 1220/ 14324 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.30 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 4.592945E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.333 | TFLOPs: 30.12 | 7: iteration 1230/ 14324 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.30 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 4.581935E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.613 | TFLOPs: 30.34 | 7: iteration 1240/ 14324 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.30 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 4.573475E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.531 | TFLOPs: 30.26 | 7: iteration 1250/ 14324 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.30 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 4.563824E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.036 | TFLOPs: 29.93 | 7: iteration 1260/ 14324 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.29 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 4.569346E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.197 | TFLOPs: 30.53 | 7: iteration 1270/ 14324 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.30 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 4.555385E+00 | grad norm: 0.694 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.055 | TFLOPs: 30.11 | 7: iteration 1280/ 14324 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.30 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 4.554303E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.494 | TFLOPs: 30.19 | 7: iteration 1290/ 14324 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.30 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 4.541492E+00 | grad norm: 0.689 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.612 | TFLOPs: 29.43 | 7: iteration 1300/ 14324 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.30 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 4.529987E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.815 | TFLOPs: 30.27 | 7: iteration 1310/ 14324 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.30 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 4.532386E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.006 | TFLOPs: 30.21 | 7: iteration 1320/ 14324 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.30 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 4.524297E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.287 | TFLOPs: 30.19 | 7: iteration 1330/ 14324 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.30 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 4.508704E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.930 | TFLOPs: 29.68 | 7: iteration 1340/ 14324 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.29 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 4.514192E+00 | grad norm: 0.752 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.667 | TFLOPs: 30.55 | 7: iteration 1350/ 14324 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.29 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 4.516545E+00 | grad norm: 0.623 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.764 | TFLOPs: 30.55 | 7: iteration 1360/ 14324 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.30 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 4.505044E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.302 | TFLOPs: 30.19 | 7: iteration 1370/ 14324 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.30 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 4.484496E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.839 | TFLOPs: 29.75 | 7: iteration 1380/ 14324 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.29 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 4.481831E+00 | grad norm: 0.778 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.551 | TFLOPs: 30.55 | 7: iteration 1390/ 14324 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.30 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 4.490450E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.632 | TFLOPs: 30.27 | 7: iteration 1400/ 14324 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.30 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 4.478362E+00 | grad norm: 0.788 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.054 | TFLOPs: 30.18 | 7: iteration 1410/ 14324 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.30 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 4.466382E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.669 | TFLOPs: 30.27 | 7: iteration 1420/ 14324 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.29 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 4.459008E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.822 | TFLOPs: 30.56 | 7: iteration 1430/ 14324 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.30 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 4.457808E+00 | grad norm: 0.596 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.236 | TFLOPs: 29.48 | 7: iteration 1440/ 14324 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.29 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 4.453482E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.858 | TFLOPs: 30.56 | 7: iteration 1450/ 14324 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.30 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 4.448968E+00 | grad norm: 0.769 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.862 | TFLOPs: 30.24 | 7: iteration 1460/ 14324 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.29 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 4.444625E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 873.000 | TFLOPs: 30.56 | 7: iteration 1470/ 14324 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.30 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 4.436929E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.843 | TFLOPs: 30.21 | 7: iteration 1480/ 14324 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.30 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 4.440652E+00 | grad norm: 0.833 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.581 | TFLOPs: 29.88 | 7: iteration 1490/ 14324 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.29 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 4.440401E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.730 | TFLOPs: 30.55 | 7: iteration 1500/ 14324 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.29 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 4.423251E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.565 | TFLOPs: 30.55 | 7: iteration 1510/ 14324 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.29 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 4.425528E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.457 | TFLOPs: 30.54 | 7: iteration 1520/ 14324 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.29 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 4.413958E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.815 | TFLOPs: 30.45 | 7: iteration 1530/ 14324 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.29 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 4.414412E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.713 | TFLOPs: 30.55 | 7: iteration 1540/ 14324 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.29 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 4.401771E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.644 | TFLOPs: 30.51 | 7: iteration 1550/ 14324 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.31 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 4.410255E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.743 | TFLOPs: 28.87 | 7: iteration 1560/ 14324 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.29 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 4.392508E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.559 | TFLOPs: 30.55 | 7: iteration 1570/ 14324 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.29 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 4.405132E+00 | grad norm: 0.609 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.108 | TFLOPs: 30.53 | 7: iteration 1580/ 14324 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.30 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 4.387041E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.237 | TFLOPs: 30.15 | 7: iteration 1590/ 14324 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.30 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 4.382323E+00 | grad norm: 0.849 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.366 | TFLOPs: 29.66 | 7: iteration 1600/ 14324 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.29 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 4.392113E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.065 | TFLOPs: 30.49 | 7: iteration 1610/ 14324 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.30 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 4.385101E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.864 | TFLOPs: 30.28 | 7: iteration 1620/ 14324 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.30 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 4.378807E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.222 | TFLOPs: 30.36 | 7: iteration 1630/ 14324 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.29 | learning rate: 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norm: 0.548 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.745 | TFLOPs: 30.10 | 7: iteration 1870/ 14324 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.30 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 4.278350E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.743 | TFLOPs: 29.92 | 7: iteration 1880/ 14324 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.29 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 4.283295E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.821 | TFLOPs: 30.52 | 7: iteration 1890/ 14324 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 0.30 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 4.289111E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.779 | TFLOPs: 30.17 | 7: iteration 1900/ 14324 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 0.29 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 4.271517E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.779 | TFLOPs: 30.52 | 7: iteration 1910/ 14324 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 0.29 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 4.263311E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.863 | TFLOPs: 30.52 | 7: iteration 1920/ 14324 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.29 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 4.268641E+00 | grad norm: 0.738 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.351 | TFLOPs: 30.54 | 7: iteration 1930/ 14324 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.29 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 4.261192E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.424 | TFLOPs: 30.51 | 7: iteration 1940/ 14324 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.29 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 4.259142E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.486 | TFLOPs: 30.47 | 7: iteration 1950/ 14324 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.29 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 4.259942E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.086 | TFLOPs: 30.46 | 7: iteration 1960/ 14324 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.29 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 4.247541E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.217 | TFLOPs: 30.50 | 7: iteration 1970/ 14324 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.29 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 4.249356E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.392 | TFLOPs: 30.51 | 7: iteration 1980/ 14324 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.29 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 4.251560E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.321 | TFLOPs: 30.50 | 7: iteration 1990/ 14324 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.29 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 4.250088E+00 | grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.418 | TFLOPs: 30.51 | 0: [2023-03-16 23:01:46,592] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00019249276153319805, 0.00019249276153319805, 0.00019249276153319805], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 14324 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.29 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 4.240534E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.589 | TFLOPs: 30.51 | 0: steps: 2000 loss: 4.2309 iter time (s): 0.307 samples/sec: 835.106 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 2000 | lm loss value: 4.145284E+00 | lm loss PPL: 6.313556E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 2000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:01:46,712] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2023-03-16 23:01:46,715] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step2000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:01:46,799] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:01:47,087] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2023-03-16 23:01:47,087] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2023-03-16 23:01:47,087] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2023-03-16 23:01:47,087] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 6: [2023-03-16 23:01:47,087] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:01:47,087] 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checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:01:47,093] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2023-03-16 23:01:47,093] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2023-03-16 23:01:47,094] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-16 23:01:47,094] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-16 23:01:47,094] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:01:47,094] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:01:47,095] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 3: [2023-03-16 23:01:47,095] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:01:47,095] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2023-03-16 23:01:47,095] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 4: [2023-03-16 23:01:47,095] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 3: [2023-03-16 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[Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:01:47,097] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2023-03-16 23:01:47,097] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2023-03-16 23:01:47,099] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:01:47,099] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2023-03-16 23:01:47,099] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-16 23:01:47,100] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:01:47,100] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2023-03-16 23:01:47,100] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-16 23:01:47,100] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:01:47,100] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2023-03-16 23:01:47,100] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-16 23:01:47,094] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-16 23:01:47,094] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-16 23:01:47,094] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:01:47,094] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2023-03-16 23:01:47,094] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-16 23:01:47,095] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:01:47,095] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-16 23:01:47,095] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-16 23:01:47,095] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:01:47,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2023-03-16 23:01:47,095] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:01:47,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-16 23:01:47,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2023-03-16 23:01:47,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-16 23:01:47,111] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:01:47,112] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-16 23:01:47,115] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:01:47,116] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-16 23:01:47,116] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 409.70 7: iteration 2010/ 14324 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.35 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 4.242919E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 740.614 | TFLOPs: 25.93 | 7: iteration 2020/ 14324 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.30 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 4.230597E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.534 | TFLOPs: 30.26 | 7: iteration 2030/ 14324 | consumed samples: 519680 | consumed tokens: 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second: 849.458 | TFLOPs: 29.74 | 7: iteration 2120/ 14324 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.29 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 4.216927E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.352 | TFLOPs: 30.50 | 7: iteration 2130/ 14324 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.29 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 4.210429E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.859 | TFLOPs: 30.52 | 7: iteration 2140/ 14324 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.30 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 4.202601E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number 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norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.100 | TFLOPs: 30.49 | 7: iteration 2210/ 14324 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.29 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 4.181958E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.745 | TFLOPs: 30.52 | 7: iteration 2220/ 14324 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.29 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 4.181182E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.653 | TFLOPs: 30.51 | 7: iteration 2230/ 14324 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.29 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 4.182150E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.110 | TFLOPs: 30.53 | 7: iteration 2240/ 14324 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.29 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 4.184185E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 872.153 | TFLOPs: 30.53 | 7: iteration 2250/ 14324 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.29 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 4.175602E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.228 | TFLOPs: 30.50 | 7: iteration 2260/ 14324 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.29 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 4.175720E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.563 | TFLOPs: 30.51 | 7: iteration 2270/ 14324 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.30 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 4.171019E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.616 | TFLOPs: 29.85 | 7: iteration 2280/ 14324 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.29 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 4.177461E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.126 | TFLOPs: 30.50 | 7: iteration 2290/ 14324 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time 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tokens: 1216348160 | elapsed time per iteration (s): 0.29 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 4.160928E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.998 | TFLOPs: 30.49 | 7: iteration 2330/ 14324 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.29 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 4.156189E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.690 | TFLOPs: 30.52 | 7: iteration 2340/ 14324 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.30 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 4.156544E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.154 | TFLOPs: 30.11 | 7: iteration 2350/ 14324 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.30 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 4.153679E+00 | grad norm: 0.584 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.191 | TFLOPs: 30.08 | 7: iteration 2360/ 14324 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.30 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 4.153688E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.922 | TFLOPs: 30.24 | 7: iteration 2370/ 14324 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.29 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 4.160268E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.128 | TFLOPs: 30.50 | 7: iteration 2380/ 14324 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.29 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 4.140486E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.031 | TFLOPs: 30.49 | 7: iteration 2390/ 14324 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.29 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 4.144603E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.308 | TFLOPs: 30.50 | 7: iteration 2400/ 14324 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.31 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 4.138857E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.944 | TFLOPs: 29.37 | 7: iteration 2410/ 14324 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.30 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 4.142411E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.654 | TFLOPs: 30.13 | 7: iteration 2420/ 14324 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.29 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 4.148173E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.269 | TFLOPs: 30.50 | 7: iteration 2430/ 14324 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.30 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 4.143460E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.572 | TFLOPs: 29.78 | 7: iteration 2440/ 14324 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.30 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 4.135563E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.694 | TFLOPs: 30.13 | 7: iteration 2450/ 14324 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.30 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 4.136915E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.083 | TFLOPs: 30.11 | 7: iteration 2460/ 14324 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.29 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 4.127980E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.033 | TFLOPs: 30.49 | 7: iteration 2470/ 14324 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.30 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 4.134433E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.249 | TFLOPs: 30.08 | 7: iteration 2480/ 14324 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.30 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 4.125301E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.501 | TFLOPs: 29.74 | 7: iteration 2490/ 14324 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.30 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 4.119611E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.352 | TFLOPs: 30.26 | 7: iteration 2500/ 14324 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.30 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 4.117592E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.729 | TFLOPs: 29.85 | 7: iteration 2510/ 14324 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.29 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 4.116290E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.460 | TFLOPs: 30.40 | 7: iteration 2520/ 14324 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.29 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 4.116505E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.073 | TFLOPs: 30.46 | 7: iteration 2530/ 14324 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.30 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 4.113747E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.092 | TFLOPs: 30.04 | 7: iteration 2540/ 14324 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.29 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 4.119018E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.866 | TFLOPs: 30.45 | 7: iteration 2550/ 14324 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.29 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 4.120655E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.799 | TFLOPs: 30.48 | 7: iteration 2560/ 14324 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.30 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 4.115329E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.341 | TFLOPs: 29.94 | 7: iteration 2570/ 14324 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.29 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 4.105674E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.605 | TFLOPs: 30.48 | 7: iteration 2580/ 14324 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.29 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 4.099529E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.731 | TFLOPs: 30.48 | 7: iteration 2590/ 14324 | consumed samples: 663040 | consumed tokens: 1357905920 | elapsed time per iteration (s): 0.29 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 4.101902E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.727 | TFLOPs: 30.48 | 7: iteration 2600/ 14324 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.29 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 4.095077E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.153 | TFLOPs: 30.46 | 7: iteration 2610/ 14324 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.29 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 4.100065E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.730 | TFLOPs: 30.48 | 7: iteration 2620/ 14324 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.29 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 4.092163E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.936 | TFLOPs: 30.49 | 7: iteration 2630/ 14324 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.29 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 4.099393E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.327 | TFLOPs: 30.47 | 7: iteration 2640/ 14324 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.30 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 4.091637E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.598 | TFLOPs: 30.09 | 7: iteration 2650/ 14324 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.29 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 4.094110E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.407 | TFLOPs: 30.47 | 7: iteration 2660/ 14324 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 0.29 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 4.092892E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.730 | TFLOPs: 30.48 | 7: iteration 2670/ 14324 | consumed samples: 683520 | consumed tokens: 1399848960 | elapsed time per iteration (s): 0.29 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 4.080680E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.499 | TFLOPs: 30.47 | 7: iteration 2680/ 14324 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 0.29 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 4.077939E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.593 | TFLOPs: 30.48 | 7: iteration 2690/ 14324 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.29 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 4.081465E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.477 | TFLOPs: 30.47 | 7: iteration 2700/ 14324 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.29 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 4.084482E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.606 | TFLOPs: 30.44 | 7: iteration 2710/ 14324 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.29 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 4.073499E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.168 | TFLOPs: 30.43 | 7: iteration 2720/ 14324 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.29 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 4.081750E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.387 | TFLOPs: 30.43 | 7: iteration 2730/ 14324 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.29 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 4.080958E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.612 | TFLOPs: 30.44 | 7: iteration 2740/ 14324 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.29 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 4.082312E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.515 | TFLOPs: 30.44 | 7: iteration 2750/ 14324 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.29 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 4.068832E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.423 | TFLOPs: 30.44 | 7: iteration 2760/ 14324 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.29 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 4.064798E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.174 | TFLOPs: 30.43 | 7: iteration 2770/ 14324 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.29 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 4.071284E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.153 | TFLOPs: 30.43 | 7: iteration 2780/ 14324 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.29 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 4.067834E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.452 | TFLOPs: 30.40 | 7: iteration 2790/ 14324 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.29 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 4.055068E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.087 | TFLOPs: 30.42 | 7: iteration 2800/ 14324 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.29 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 4.055197E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.739 | TFLOPs: 30.41 | 7: iteration 2810/ 14324 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.29 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 4.061194E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.114 | TFLOPs: 30.43 | 7: iteration 2820/ 14324 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.29 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 4.056070E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.357 | TFLOPs: 30.43 | 7: iteration 2830/ 14324 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.29 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 4.054689E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.170 | TFLOPs: 30.43 | 7: iteration 2840/ 14324 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.29 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 4.056839E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.646 | TFLOPs: 30.41 | 7: iteration 2850/ 14324 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.30 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 4.047790E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.006 | TFLOPs: 30.35 | 7: iteration 2860/ 14324 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.30 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 4.054071E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.237 | TFLOPs: 30.36 | 7: iteration 2870/ 14324 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.29 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 4.041676E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.220 | TFLOPs: 30.43 | 7: iteration 2880/ 14324 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.29 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 4.043297E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.072 | TFLOPs: 30.42 | 7: iteration 2890/ 14324 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.29 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 4.052144E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.011 | TFLOPs: 30.46 | 7: iteration 2900/ 14324 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.29 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 4.040604E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.387 | TFLOPs: 30.47 | 7: iteration 2910/ 14324 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.29 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 4.054338E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.052 | TFLOPs: 30.46 | 7: iteration 2920/ 14324 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.29 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 4.043410E+00 | grad norm: 0.492 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.674 | TFLOPs: 30.48 | 7: iteration 2930/ 14324 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.29 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 4.045033E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.953 | TFLOPs: 30.45 | 7: iteration 2940/ 14324 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.29 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 4.034300E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.412 | TFLOPs: 30.47 | 7: iteration 2950/ 14324 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.29 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 4.037820E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.108 | TFLOPs: 30.46 | 7: iteration 2960/ 14324 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.29 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 4.037184E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.668 | TFLOPs: 30.44 | 7: iteration 2970/ 14324 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.29 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 4.029340E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.131 | TFLOPs: 30.46 | 7: iteration 2980/ 14324 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.30 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 4.030905E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.594 | TFLOPs: 30.09 | 7: iteration 2990/ 14324 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.29 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 4.029285E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.423 | TFLOPs: 30.47 | 7: iteration 3000/ 14324 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.29 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 4.029679E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.099 | TFLOPs: 30.46 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 3000 | lm loss value: 3.989566E+00 | lm loss PPL: 5.403143E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 3000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:06:42,266] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2023-03-16 23:06:42,269] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step3000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:06:42,354] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step3000/layer_01-model_00-model_states.pt. 0: [2023-03-16 23:06:42,355] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step3000/layer_03-model_00-model_states.pt... 0: [2023-03-16 23:06:42,370] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step3000/layer_03-model_00-model_states.pt. 0: [2023-03-16 23:06:42,371] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-16 23:06:42,652] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2023-03-16 23:06:42,652] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:06:42,652] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:06:42,652] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:06:42,653] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2023-03-16 23:06:42,653] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-16 23:06:42,653] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2023-03-16 23:06:42,653] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2023-03-16 23:06:42,653] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2023-03-16 23:06:42,653] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 5: [2023-03-16 23:06:42,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:06:42,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2023-03-16 23:06:42,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2023-03-16 23:06:42,664] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step3000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:06:42,664] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: successfully saved checkpoint at iteration 3000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 401.66 7: iteration 3010/ 14324 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.34 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 4.025786E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 744.977 | TFLOPs: 26.08 | 7: iteration 3020/ 14324 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.29 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 4.023153E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.751 | TFLOPs: 30.48 | 7: iteration 3030/ 14324 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.30 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 4.028566E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.132 | TFLOPs: 30.11 | 7: iteration 3040/ 14324 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.30 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 4.035167E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.596 | TFLOPs: 29.95 | 7: iteration 3050/ 14324 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.30 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 4.020850E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.346 | TFLOPs: 29.91 | 7: iteration 3060/ 14324 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.29 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 4.016933E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.123 | TFLOPs: 30.46 | 7: iteration 3070/ 14324 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.30 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 4.021196E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.786 | TFLOPs: 30.10 | 7: iteration 3080/ 14324 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.29 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 4.023445E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.548 | TFLOPs: 30.48 | 7: iteration 3090/ 14324 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.30 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 4.009380E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.125 | TFLOPs: 30.11 | 7: iteration 3100/ 14324 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.29 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 4.016338E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.067 | TFLOPs: 30.49 | 7: iteration 3110/ 14324 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.30 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 4.018777E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.468 | TFLOPs: 29.95 | 7: iteration 3120/ 14324 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.30 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 4.005606E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.890 | TFLOPs: 30.07 | 7: iteration 3130/ 14324 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.29 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 4.018402E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.670 | TFLOPs: 30.41 | 7: iteration 3140/ 14324 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.30 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 4.008765E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.893 | TFLOPs: 30.10 | 7: iteration 3150/ 14324 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.30 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 4.002334E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.495 | TFLOPs: 30.16 | 7: iteration 3160/ 14324 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.30 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.997227E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.844 | TFLOPs: 30.03 | 7: iteration 3170/ 14324 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.29 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 3.997903E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.681 | TFLOPs: 30.48 | 7: iteration 3180/ 14324 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.29 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 3.998015E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.605 | TFLOPs: 30.48 | 7: iteration 3190/ 14324 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.29 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.998003E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.578 | TFLOPs: 30.48 | 7: iteration 3200/ 14324 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.29 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.995298E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.558 | TFLOPs: 30.48 | 7: iteration 3210/ 14324 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.29 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 3.988994E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.068 | TFLOPs: 30.49 | 7: iteration 3220/ 14324 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.29 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 3.995699E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.032 | TFLOPs: 30.49 | 7: iteration 3230/ 14324 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.29 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 4.000476E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.651 | TFLOPs: 30.48 | 7: iteration 3240/ 14324 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.29 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 3.999158E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.485 | TFLOPs: 30.47 | 7: iteration 3250/ 14324 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.29 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 3.996494E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.446 | TFLOPs: 30.47 | 7: iteration 3260/ 14324 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.29 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 3.991448E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.403 | TFLOPs: 30.47 | 7: iteration 3270/ 14324 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.29 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 3.990071E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.779 | TFLOPs: 30.48 | 7: iteration 3280/ 14324 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.29 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 3.987440E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.738 | TFLOPs: 30.48 | 7: iteration 3290/ 14324 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.29 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 3.984041E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.605 | TFLOPs: 30.48 | 7: iteration 3300/ 14324 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.29 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 3.985884E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.264 | TFLOPs: 30.50 | 7: iteration 3310/ 14324 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.29 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 3.979186E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.308 | TFLOPs: 30.50 | 7: iteration 3320/ 14324 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.29 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 3.985440E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.760 | TFLOPs: 30.48 | 7: iteration 3330/ 14324 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.29 | learning rate: 1.785E-04 | global batch size: 256 | lm loss: 3.974178E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.402 | TFLOPs: 30.47 | 7: iteration 3340/ 14324 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.29 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 3.987466E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.840 | TFLOPs: 30.49 | 7: iteration 3350/ 14324 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.29 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 3.968508E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.844 | TFLOPs: 30.49 | 7: iteration 3360/ 14324 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.29 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 3.975660E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.989 | TFLOPs: 30.49 | 7: iteration 3370/ 14324 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.30 | learning rate: 1.780E-04 | global batch size: 256 | lm loss: 3.981434E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.052 | TFLOPs: 30.11 | 7: iteration 3380/ 14324 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.30 | learning rate: 1.778E-04 | global batch size: 256 | lm loss: 3.970526E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.512 | TFLOPs: 30.12 | 7: iteration 3390/ 14324 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.29 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 3.965390E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.298 | TFLOPs: 30.50 | 7: iteration 3400/ 14324 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.30 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 3.970896E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.708 | TFLOPs: 30.38 | 7: iteration 3410/ 14324 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.29 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 3.970195E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.015 | TFLOPs: 30.49 | 7: iteration 3420/ 14324 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.29 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 3.969822E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.731 | TFLOPs: 30.48 | 7: iteration 3430/ 14324 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.29 | learning rate: 1.772E-04 | global batch size: 256 | lm loss: 3.968682E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.833 | TFLOPs: 30.49 | 7: iteration 3440/ 14324 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.29 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 3.962955E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.344 | TFLOPs: 30.47 | 7: iteration 3450/ 14324 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.29 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 3.960609E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.595 | TFLOPs: 30.48 | 7: iteration 3460/ 14324 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.29 | learning rate: 1.768E-04 | global batch size: 256 | lm loss: 3.958682E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.013 | TFLOPs: 30.49 | 7: iteration 3470/ 14324 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.29 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 3.948034E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.529 | TFLOPs: 30.47 | 7: iteration 3480/ 14324 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.29 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 3.958475E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.799 | TFLOPs: 30.48 | 7: iteration 3490/ 14324 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.29 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 3.959013E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.936 | TFLOPs: 30.49 | 7: iteration 3500/ 14324 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.29 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 3.953814E+00 | grad norm: 0.461 | num zeros: 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of nan iterations: 0 | samples per second: 870.709 | TFLOPs: 30.48 | 7: iteration 3740/ 14324 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.29 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 3.926318E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.937 | TFLOPs: 30.49 | 7: iteration 3750/ 14324 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.29 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 3.923869E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.459 | TFLOPs: 30.47 | 7: iteration 3760/ 14324 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.29 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 3.916180E+00 | grad norm: 0.467 | num zeros: 0.0 | number 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norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.457 | TFLOPs: 30.47 | 7: iteration 3800/ 14324 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.29 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 3.921669E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.877 | TFLOPs: 30.49 | 7: iteration 3810/ 14324 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.29 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 3.917323E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.653 | TFLOPs: 30.48 | 7: iteration 3820/ 14324 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.29 | learning rate: 1.718E-04 | global batch size: 256 | lm loss: 3.921224E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.632 | TFLOPs: 30.48 | 7: iteration 3830/ 14324 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.30 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 3.919768E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.666 | TFLOPs: 30.13 | 7: iteration 3840/ 14324 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.30 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 3.922167E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.225 | TFLOPs: 30.22 | 7: iteration 3850/ 14324 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.29 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 3.911313E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.540 | TFLOPs: 30.48 | 7: iteration 3860/ 14324 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.30 | learning rate: 1.712E-04 | global batch size: 256 | lm loss: 3.913502E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.866 | TFLOPs: 30.17 | 7: iteration 3870/ 14324 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.29 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 3.916818E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.473 | TFLOPs: 30.47 | 7: iteration 3880/ 14324 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.29 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 3.908764E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.136 | TFLOPs: 30.46 | 7: iteration 3890/ 14324 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.29 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 3.900758E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.241 | TFLOPs: 30.46 | 7: iteration 3900/ 14324 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.29 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 3.911147E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.059 | TFLOPs: 30.46 | 7: iteration 3910/ 14324 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.29 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 3.903302E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.357 | TFLOPs: 30.47 | 7: iteration 3920/ 14324 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.29 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 3.907626E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.698 | TFLOPs: 30.48 | 7: iteration 3930/ 14324 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.30 | learning rate: 1.701E-04 | global batch size: 256 | lm loss: 3.906129E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.419 | TFLOPs: 30.33 | 7: iteration 3940/ 14324 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.29 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 3.904783E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.336 | TFLOPs: 30.47 | 7: iteration 3950/ 14324 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.29 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 3.901239E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.178 | TFLOPs: 30.50 | 7: iteration 3960/ 14324 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.29 | learning rate: 1.697E-04 | global batch size: 256 | lm loss: 3.900006E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.066 | TFLOPs: 30.49 | 7: iteration 3970/ 14324 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.29 | learning rate: 1.695E-04 | global batch size: 256 | lm loss: 3.891575E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.630 | TFLOPs: 30.48 | 7: iteration 3980/ 14324 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.29 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 3.900084E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.398 | TFLOPs: 30.47 | 7: iteration 3990/ 14324 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.29 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 3.899268E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.751 | TFLOPs: 30.45 | 0: [2023-03-16 23:11:37,438] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00016909962506367714, 0.00016909962506367714, 0.00016909962506367714], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 14324 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.29 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 3.904906E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.864 | TFLOPs: 30.45 | 0: steps: 4000 loss: 3.9244 iter time (s): 0.293 samples/sec: 874.220 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 4000 | lm loss value: 3.945888E+00 | lm loss PPL: 5.172225E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 4000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:11:37,559] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2023-03-16 23:11:37,562] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step4000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:11:37,647] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/layer_01-model_00-model_states.pt. 0: [2023-03-16 23:11:37,647] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step4000/layer_03-model_00-model_states.pt... 0: [2023-03-16 23:11:37,663] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/layer_03-model_00-model_states.pt. 0: [2023-03-16 23:11:37,664] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2023-03-16 23:11:37,926] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2023-03-16 23:11:37,926] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:11:37,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 6: [2023-03-16 23:11:37,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 1: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2023-03-16 23:11:37,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 1: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:11:37,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 5: [2023-03-16 23:11:37,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 4: [2023-03-16 23:11:37,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2023-03-16 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checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 1: [2023-03-16 23:11:37,933] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:11:37,933] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2023-03-16 23:11:37,933] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2023-03-16 23:11:37,933] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2023-03-16 23:11:37,933] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:11:37,933] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2023-03-16 23:11:37,933] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 0: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 1: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 6: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,928] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:11:37,928] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 6: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,928] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,928] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 1: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,928] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,931] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:11:37,931] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,931] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,931] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:11:37,932] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,932] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,932] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:11:37,932] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,932] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:11:37,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2023-03-16 23:11:37,936] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:11:37,936] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2023-03-16 23:11:37,936] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2023-03-16 23:11:37,936] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:11:37,936] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2023-03-16 23:11:37,936] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2023-03-16 23:11:37,936] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:11:37,936] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2023-03-16 23:11:37,936] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2023-03-16 23:11:37,937] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:11:37,937] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2023-03-16 23:11:37,937] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:11:37,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2023-03-16 23:11:37,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2023-03-16 23:11:37,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,938] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:11:37,938] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:11:37,938] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2023-03-16 23:11:37,938] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2023-03-16 23:11:37,940] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2023-03-16 23:11:37,940] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2023-03-16 23:11:37,940] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:11:37,940] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2023-03-16 23:11:37,940] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2023-03-16 23:11:37,941] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:11:37,941] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2023-03-16 23:11:37,941] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2023-03-16 23:11:37,938] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step4000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-16 23:11:37,938] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 395.82 7: iteration 4010/ 14324 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.35 | learning rate: 1.689E-04 | global batch size: 256 | lm loss: 3.892253E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 741.276 | TFLOPs: 25.95 | 7: iteration 4020/ 14324 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.29 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 3.892709E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.193 | TFLOPs: 30.46 | 7: iteration 4030/ 14324 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.29 | learning rate: 1.686E-04 | global batch size: 256 | lm loss: 3.885762E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.221 | TFLOPs: 30.46 | 7: iteration 4040/ 14324 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.29 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 3.897751E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.331 | TFLOPs: 30.43 | 7: iteration 4050/ 14324 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.30 | learning rate: 1.683E-04 | global batch size: 256 | lm loss: 3.890170E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.435 | TFLOPs: 30.02 | 7: iteration 4060/ 14324 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.30 | learning rate: 1.682E-04 | global batch size: 256 | lm loss: 3.884320E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.344 | TFLOPs: 29.77 | 7: iteration 4070/ 14324 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.29 | learning rate: 1.680E-04 | global batch size: 256 | lm loss: 3.884966E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.766 | TFLOPs: 30.45 | 7: iteration 4080/ 14324 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.30 | learning rate: 1.679E-04 | global batch size: 256 | lm loss: 3.887374E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.393 | TFLOPs: 30.19 | 7: iteration 4090/ 14324 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.30 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 3.887742E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.415 | TFLOPs: 30.09 | 7: iteration 4100/ 14324 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.30 | learning rate: 1.676E-04 | global batch size: 256 | lm loss: 3.883470E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.032 | TFLOPs: 30.04 | 7: iteration 4110/ 14324 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.30 | learning rate: 1.674E-04 | global batch size: 256 | lm loss: 3.889355E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.879 | TFLOPs: 30.35 | 7: iteration 4120/ 14324 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.29 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 3.876060E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.850 | TFLOPs: 30.42 | 7: iteration 4130/ 14324 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.30 | learning rate: 1.671E-04 | global batch size: 256 | lm loss: 3.887338E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.014 | TFLOPs: 29.72 | 7: iteration 4140/ 14324 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.29 | learning rate: 1.670E-04 | global batch size: 256 | lm loss: 3.876928E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.873 | TFLOPs: 30.45 | 7: iteration 4150/ 14324 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.30 | learning rate: 1.668E-04 | global batch size: 256 | lm loss: 3.879464E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.063 | TFLOPs: 30.07 | 7: iteration 4160/ 14324 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.29 | learning rate: 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TFLOPs: 30.04 | 7: iteration 4280/ 14324 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.30 | learning rate: 1.648E-04 | global batch size: 256 | lm loss: 3.866999E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.637 | TFLOPs: 29.67 | 7: iteration 4290/ 14324 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.29 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 3.865920E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.754 | TFLOPs: 30.45 | 7: iteration 4300/ 14324 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.29 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 3.859206E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.809 | TFLOPs: 30.48 | 7: iteration 4310/ 14324 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.30 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 3.861458E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.819 | TFLOPs: 30.10 | 7: iteration 4320/ 14324 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.29 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 3.867170E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.017 | TFLOPs: 30.49 | 7: iteration 4330/ 14324 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.29 | learning rate: 1.640E-04 | global batch size: 256 | lm loss: 3.854305E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.821 | TFLOPs: 30.49 | 7: iteration 4340/ 14324 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.30 | learning rate: 1.638E-04 | global batch size: 256 | lm loss: 3.860551E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.855 | TFLOPs: 30.10 | 7: iteration 4350/ 14324 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.29 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 3.858997E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.769 | TFLOPs: 30.48 | 7: iteration 4360/ 14324 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.30 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 3.865495E+00 | grad norm: 0.559 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.882 | TFLOPs: 30.10 | 7: iteration 4370/ 14324 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.30 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 3.852883E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.485 | TFLOPs: 29.98 | 7: iteration 4380/ 14324 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.29 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 3.863999E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.833 | TFLOPs: 30.49 | 7: iteration 4390/ 14324 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.29 | learning rate: 1.630E-04 | global batch size: 256 | lm loss: 3.861356E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.563 | TFLOPs: 30.48 | 7: iteration 4400/ 14324 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.29 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 3.853949E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.586 | TFLOPs: 30.48 | 7: iteration 4410/ 14324 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.29 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 3.857558E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.758 | TFLOPs: 30.48 | 7: iteration 4420/ 14324 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.29 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 3.853728E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.256 | TFLOPs: 30.47 | 7: iteration 4430/ 14324 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.30 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 3.855515E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.778 | TFLOPs: 30.27 | 7: iteration 4440/ 14324 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.29 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 3.860403E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.448 | TFLOPs: 30.44 | 7: iteration 4450/ 14324 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.30 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 3.851575E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.270 | TFLOPs: 30.12 | 7: iteration 4460/ 14324 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.29 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 3.850715E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.599 | TFLOPs: 30.44 | 7: iteration 4470/ 14324 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.29 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 3.850381E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.789 | TFLOPs: 30.45 | 7: iteration 4480/ 14324 | consumed samples: 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iteration 4510/ 14324 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.29 | learning rate: 1.611E-04 | global batch size: 256 | lm loss: 3.839108E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.537 | TFLOPs: 30.48 | 7: iteration 4520/ 14324 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.29 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 3.841899E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.610 | TFLOPs: 30.48 | 7: iteration 4530/ 14324 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.29 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 3.841272E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.835 | TFLOPs: 30.45 | 7: iteration 4540/ 14324 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.29 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 3.840139E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.464 | TFLOPs: 30.47 | 7: iteration 4550/ 14324 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.29 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 3.835234E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.860 | TFLOPs: 30.45 | 7: iteration 4560/ 14324 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.29 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 3.837431E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.333 | TFLOPs: 30.47 | 7: iteration 4570/ 14324 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.29 | learning rate: 1.601E-04 | global batch size: 256 | lm loss: 3.842652E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.531 | TFLOPs: 30.47 | 7: iteration 4580/ 14324 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.29 | learning rate: 1.599E-04 | global batch size: 256 | lm loss: 3.842451E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.631 | TFLOPs: 30.48 | 7: iteration 4590/ 14324 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.30 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 3.836486E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.420 | TFLOPs: 30.16 | 7: iteration 4600/ 14324 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.29 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 3.830629E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.161 | TFLOPs: 30.46 | 7: iteration 4610/ 14324 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.29 | learning rate: 1.594E-04 | global batch size: 256 | lm loss: 3.838405E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.117 | TFLOPs: 30.46 | 7: iteration 4620/ 14324 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.29 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 3.839495E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.858 | TFLOPs: 30.45 | 7: iteration 4630/ 14324 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.29 | learning rate: 1.591E-04 | global batch size: 256 | lm loss: 3.835313E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.001 | TFLOPs: 30.46 | 7: iteration 4640/ 14324 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.29 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 3.835091E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.156 | TFLOPs: 30.46 | 7: iteration 4650/ 14324 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.29 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 3.830768E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.599 | TFLOPs: 30.44 | 7: iteration 4660/ 14324 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.30 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 3.830341E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.888 | TFLOPs: 30.07 | 7: iteration 4670/ 14324 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.29 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 3.834449E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.089 | TFLOPs: 30.46 | 7: iteration 4680/ 14324 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.29 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 3.831513E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.310 | TFLOPs: 30.47 | 7: iteration 4690/ 14324 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 0.29 | learning rate: 1.581E-04 | global batch size: 256 | lm loss: 3.833295E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.324 | TFLOPs: 30.47 | 7: iteration 4700/ 14324 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 0.29 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 3.832498E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.005 | TFLOPs: 30.46 | 7: iteration 4710/ 14324 | consumed samples: 1205760 | consumed tokens: 2469396480 | elapsed time per iteration (s): 0.30 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 3.824355E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.182 | TFLOPs: 30.11 | 7: iteration 4720/ 14324 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 0.30 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 3.823790E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.764 | TFLOPs: 30.20 | 7: iteration 4730/ 14324 | consumed samples: 1210880 | consumed tokens: 2479882240 | elapsed time per iteration (s): 0.29 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 3.823295E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.818 | TFLOPs: 30.45 | 7: iteration 4740/ 14324 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.30 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 3.816523E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.343 | TFLOPs: 30.08 | 7: iteration 4750/ 14324 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.30 | learning rate: 1.571E-04 | global batch size: 256 | lm loss: 3.824208E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.991 | TFLOPs: 29.93 | 7: iteration 4760/ 14324 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.29 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 3.822207E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.240 | TFLOPs: 30.46 | 7: iteration 4770/ 14324 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.29 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 3.827091E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.438 | TFLOPs: 30.47 | 7: iteration 4780/ 14324 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 0.29 | learning rate: 1.565E-04 | global batch size: 256 | lm loss: 3.818096E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.356 | TFLOPs: 30.47 | 7: iteration 4790/ 14324 | consumed samples: 1226240 | consumed tokens: 2511339520 | elapsed time per iteration (s): 0.29 | learning rate: 1.564E-04 | global batch size: 256 | lm loss: 3.809515E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.598 | TFLOPs: 30.48 | 7: iteration 4800/ 14324 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 0.29 | learning rate: 1.562E-04 | global batch size: 256 | lm loss: 3.813859E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.337 | TFLOPs: 30.47 | 7: iteration 4810/ 14324 | consumed samples: 1231360 | consumed tokens: 2521825280 | elapsed time per iteration (s): 0.29 | learning rate: 1.560E-04 | global batch size: 256 | lm loss: 3.819370E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.599 | TFLOPs: 30.48 | 7: iteration 4820/ 14324 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.29 | learning rate: 1.559E-04 | global batch size: 256 | lm loss: 3.823981E+00 | grad norm: 0.393 | num zeros: 0.0 | number of 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norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.277 | TFLOPs: 30.47 | 7: iteration 4860/ 14324 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 0.29 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 3.815479E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.017 | TFLOPs: 30.46 | 7: iteration 4870/ 14324 | consumed samples: 1246720 | consumed tokens: 2553282560 | elapsed time per iteration (s): 0.29 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 3.810588E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.305 | TFLOPs: 30.47 | 7: iteration 4880/ 14324 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 0.29 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 3.818779E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.688 | TFLOPs: 30.45 | 7: iteration 4890/ 14324 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 0.29 | learning rate: 1.547E-04 | global batch size: 256 | lm loss: 3.812955E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.978 | TFLOPs: 30.46 | 7: iteration 4900/ 14324 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.29 | learning rate: 1.545E-04 | global batch size: 256 | lm loss: 3.816576E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.124 | TFLOPs: 30.46 | 7: iteration 4910/ 14324 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.29 | learning rate: 1.543E-04 | global batch size: 256 | lm loss: 3.809322E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.333 | TFLOPs: 30.47 | 7: iteration 4920/ 14324 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.29 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 3.797991E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.223 | TFLOPs: 30.46 | 7: iteration 4930/ 14324 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.29 | learning rate: 1.540E-04 | global batch size: 256 | lm loss: 3.808351E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.900 | TFLOPs: 30.45 | 7: iteration 4940/ 14324 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.29 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 3.805321E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.949 | TFLOPs: 30.45 | 7: iteration 4950/ 14324 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.29 | learning rate: 1.536E-04 | global batch size: 256 | lm loss: 3.804086E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.585 | TFLOPs: 30.41 | 7: iteration 4960/ 14324 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.29 | learning rate: 1.534E-04 | global batch size: 256 | lm loss: 3.801334E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.591 | TFLOPs: 30.41 | 7: iteration 4970/ 14324 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.29 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 3.807985E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.518 | TFLOPs: 30.40 | 7: iteration 4980/ 14324 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.29 | learning rate: 1.531E-04 | global batch size: 256 | lm loss: 3.807085E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.410 | TFLOPs: 30.40 | 7: iteration 4990/ 14324 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.29 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 3.798839E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.059 | TFLOPs: 30.39 | 7: iteration 5000/ 14324 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.29 | learning rate: 1.527E-04 | global batch size: 256 | lm loss: 3.799218E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.504 | TFLOPs: 30.40 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 5000 | lm loss value: 3.872845E+00 | lm loss PPL: 4.807900E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 5000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:16:33,168] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2023-03-16 23:16:33,172] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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23:16:33,557] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2023-03-16 23:16:33,557] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2023-03-16 23:16:33,557] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:16:33,557] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2023-03-16 23:16:33,557] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2023-03-16 23:16:33,558] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:16:33,558] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2023-03-16 23:16:33,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:16:33,560] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2023-03-16 23:16:33,560] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2023-03-16 23:16:33,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:16:33,560] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2023-03-16 23:16:33,560] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2023-03-16 23:16:33,560] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:16:33,561] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2023-03-16 23:16:33,561] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2023-03-16 23:16:33,561] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:16:33,561] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: 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[2023-03-16 23:16:33,562] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2023-03-16 23:16:33,562] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:16:33,562] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2023-03-16 23:16:33,562] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2023-03-16 23:16:33,562] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:16:33,562] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2023-03-16 23:16:33,562] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2023-03-16 23:16:33,563] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:16:33,563] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2023-03-16 23:16:33,563] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:16:33,563] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2023-03-16 23:16:33,563] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2023-03-16 23:16:33,563] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 406.62 7: iteration 5010/ 14324 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.34 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 3.793283E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 742.631 | TFLOPs: 26.00 | 7: iteration 5020/ 14324 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.29 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 3.801027E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.882 | TFLOPs: 30.49 | 7: iteration 5030/ 14324 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.29 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 3.794073E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.286 | TFLOPs: 30.47 | 7: iteration 5040/ 14324 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.29 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 3.795630E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.637 | TFLOPs: 30.44 | 7: iteration 5050/ 14324 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.29 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 3.790877E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.495 | TFLOPs: 30.44 | 7: iteration 5060/ 14324 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.29 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 3.793699E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.214 | TFLOPs: 30.43 | 7: iteration 5070/ 14324 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.29 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 3.792576E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.303 | TFLOPs: 30.40 | 7: iteration 5080/ 14324 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.29 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 3.787376E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.170 | TFLOPs: 30.43 | 7: iteration 5090/ 14324 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.29 | learning rate: 1.512E-04 | global batch size: 256 | lm loss: 3.792484E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.291 | TFLOPs: 30.43 | 7: iteration 5100/ 14324 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.30 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 3.797481E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.733 | TFLOPs: 30.03 | 7: iteration 5110/ 14324 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.29 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 3.794867E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.567 | TFLOPs: 30.41 | 7: iteration 5120/ 14324 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.29 | learning rate: 1.506E-04 | global batch size: 256 | lm loss: 3.788307E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.645 | TFLOPs: 30.48 | 7: iteration 5130/ 14324 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.29 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 3.791014E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.049 | TFLOPs: 30.46 | 7: iteration 5140/ 14324 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.29 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 3.789270E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.448 | TFLOPs: 30.47 | 7: iteration 5150/ 14324 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.29 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 3.788530E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.186 | TFLOPs: 30.46 | 7: iteration 5160/ 14324 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.29 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 3.798989E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.907 | TFLOPs: 30.45 | 7: iteration 5170/ 14324 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.29 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 3.786319E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.774 | TFLOPs: 30.45 | 7: iteration 5180/ 14324 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.29 | learning rate: 1.495E-04 | global batch size: 256 | lm loss: 3.790428E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.157 | TFLOPs: 30.46 | 7: iteration 5190/ 14324 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.29 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 3.780599E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.628 | TFLOPs: 30.44 | 7: iteration 5200/ 14324 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.29 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 3.783717E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.408 | TFLOPs: 30.44 | 7: iteration 5210/ 14324 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.29 | learning rate: 1.490E-04 | global batch size: 256 | lm loss: 3.783124E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.732 | TFLOPs: 30.45 | 7: iteration 5220/ 14324 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.29 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 3.785542E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.667 | TFLOPs: 30.44 | 7: iteration 5230/ 14324 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.29 | learning rate: 1.487E-04 | global batch size: 256 | lm loss: 3.777790E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.610 | TFLOPs: 30.44 | 7: iteration 5240/ 14324 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.29 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 3.776237E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.042 | TFLOPs: 30.46 | 7: iteration 5250/ 14324 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.29 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 3.782913E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.055 | TFLOPs: 30.42 | 7: iteration 5260/ 14324 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.29 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 3.785644E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.994 | TFLOPs: 30.42 | 7: iteration 5270/ 14324 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.29 | learning rate: 1.479E-04 | global batch size: 256 | lm loss: 3.779949E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.420 | TFLOPs: 30.44 | 7: iteration 5280/ 14324 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.29 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 3.781223E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.195 | TFLOPs: 30.43 | 7: iteration 5290/ 14324 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.29 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 3.779847E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.934 | TFLOPs: 30.42 | 7: iteration 5300/ 14324 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.29 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 3.787180E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.359 | TFLOPs: 30.43 | 7: iteration 5310/ 14324 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.29 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 3.772878E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.723 | TFLOPs: 30.41 | 7: iteration 5320/ 14324 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.29 | learning rate: 1.470E-04 | global batch size: 256 | lm loss: 3.776900E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.703 | TFLOPs: 30.41 | 7: iteration 5330/ 14324 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.29 | learning rate: 1.468E-04 | global batch size: 256 | lm loss: 3.784227E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.360 | TFLOPs: 30.43 | 7: iteration 5340/ 14324 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.29 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 3.772511E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.780 | TFLOPs: 30.41 | 7: iteration 5350/ 14324 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.29 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 3.773018E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.078 | TFLOPs: 30.42 | 7: iteration 5360/ 14324 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.29 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 3.772559E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.955 | TFLOPs: 30.42 | 7: iteration 5370/ 14324 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.29 | learning rate: 1.461E-04 | global batch size: 256 | lm loss: 3.771899E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.904 | TFLOPs: 30.42 | 7: iteration 5380/ 14324 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.29 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 3.775694E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.376 | TFLOPs: 30.40 | 7: iteration 5390/ 14324 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.29 | learning rate: 1.457E-04 | global batch size: 256 | lm loss: 3.768449E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.505 | TFLOPs: 30.44 | 7: iteration 5400/ 14324 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.29 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 3.771566E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.737 | TFLOPs: 30.45 | 7: iteration 5410/ 14324 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.29 | learning rate: 1.454E-04 | global batch size: 256 | lm loss: 3.770796E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.372 | TFLOPs: 30.43 | 7: iteration 5420/ 14324 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.29 | learning rate: 1.452E-04 | global batch size: 256 | lm loss: 3.771704E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.792 | TFLOPs: 30.41 | 7: iteration 5430/ 14324 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.29 | learning rate: 1.450E-04 | global batch size: 256 | lm loss: 3.769156E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.438 | TFLOPs: 30.40 | 7: iteration 5440/ 14324 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.29 | learning rate: 1.448E-04 | global batch size: 256 | lm loss: 3.764563E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.529 | TFLOPs: 30.40 | 7: iteration 5450/ 14324 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.29 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 3.767517E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.678 | TFLOPs: 30.41 | 7: iteration 5460/ 14324 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.29 | learning rate: 1.445E-04 | global batch size: 256 | lm loss: 3.768547E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.212 | TFLOPs: 30.39 | 7: iteration 5470/ 14324 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.29 | learning rate: 1.443E-04 | global batch size: 256 | lm loss: 3.765522E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.146 | TFLOPs: 30.39 | 7: iteration 5480/ 14324 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.29 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 3.766021E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.467 | TFLOPs: 30.40 | 7: iteration 5490/ 14324 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.29 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 3.759424E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.450 | TFLOPs: 30.40 | 7: iteration 5500/ 14324 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.29 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 3.766725E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.610 | TFLOPs: 30.41 | 7: iteration 5510/ 14324 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.29 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 3.761578E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.677 | TFLOPs: 30.41 | 7: iteration 5520/ 14324 | consumed samples: 1413120 | consumed 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TFLOPs: 30.46 | 7: iteration 5580/ 14324 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.29 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 3.759514E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.919 | TFLOPs: 30.45 | 7: iteration 5590/ 14324 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.29 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 3.756513E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.115 | TFLOPs: 30.46 | 7: iteration 5600/ 14324 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.29 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 3.754704E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.029 | TFLOPs: 30.46 | 7: iteration 5610/ 14324 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.29 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 3.746892E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.033 | TFLOPs: 30.46 | 7: iteration 5620/ 14324 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.29 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 3.756374E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.507 | TFLOPs: 30.44 | 7: iteration 5630/ 14324 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.29 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 3.747307E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.879 | TFLOPs: 30.45 | 7: iteration 5640/ 14324 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.29 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 3.748749E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.701 | TFLOPs: 30.45 | 7: iteration 5650/ 14324 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.29 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 3.748557E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.460 | TFLOPs: 30.44 | 7: iteration 5660/ 14324 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.29 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 3.749340E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.737 | TFLOPs: 30.45 | 7: iteration 5670/ 14324 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.29 | learning rate: 1.406E-04 | global batch size: 256 | lm loss: 3.748335E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.776 | TFLOPs: 30.45 | 7: iteration 5680/ 14324 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.29 | learning rate: 1.404E-04 | global batch size: 256 | lm loss: 3.742484E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.982 | TFLOPs: 30.46 | 7: iteration 5690/ 14324 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.29 | learning rate: 1.402E-04 | global batch size: 256 | lm loss: 3.744642E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.780 | TFLOPs: 30.45 | 7: iteration 5700/ 14324 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.29 | learning rate: 1.400E-04 | global batch size: 256 | lm loss: 3.742348E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.967 | TFLOPs: 30.46 | 7: iteration 5710/ 14324 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.29 | learning rate: 1.398E-04 | global batch size: 256 | lm loss: 3.746293E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.666 | TFLOPs: 30.44 | 7: iteration 5720/ 14324 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.29 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 3.749329E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.244 | TFLOPs: 30.46 | 7: iteration 5730/ 14324 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.30 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 3.746301E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.216 | TFLOPs: 29.90 | 7: iteration 5740/ 14324 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.30 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 3.744442E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.520 | TFLOPs: 29.42 | 7: iteration 5750/ 14324 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.29 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 3.748708E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.349 | TFLOPs: 30.43 | 7: iteration 5760/ 14324 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.29 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 3.741773E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.679 | TFLOPs: 30.45 | 7: iteration 5770/ 14324 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.29 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 3.748026E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.304 | TFLOPs: 30.47 | 7: iteration 5780/ 14324 | consumed samples: 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second: 870.301 | TFLOPs: 30.47 | 7: iteration 5840/ 14324 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.29 | learning rate: 1.373E-04 | global batch size: 256 | lm loss: 3.735637E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.291 | TFLOPs: 30.47 | 7: iteration 5850/ 14324 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 0.29 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 3.742306E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.675 | TFLOPs: 30.48 | 7: iteration 5860/ 14324 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.29 | learning rate: 1.370E-04 | global batch size: 256 | lm loss: 3.735783E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.320 | TFLOPs: 30.47 | 7: iteration 5870/ 14324 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.29 | learning rate: 1.368E-04 | global batch size: 256 | lm loss: 3.733480E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.396 | TFLOPs: 30.47 | 7: iteration 5880/ 14324 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.29 | learning rate: 1.366E-04 | global batch size: 256 | lm loss: 3.737960E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.232 | TFLOPs: 30.46 | 7: iteration 5890/ 14324 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.29 | learning rate: 1.364E-04 | global batch size: 256 | lm loss: 3.743113E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.547 | TFLOPs: 30.48 | 7: iteration 5900/ 14324 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.29 | learning rate: 1.362E-04 | global batch size: 256 | lm loss: 3.731229E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.030 | TFLOPs: 30.49 | 7: iteration 5910/ 14324 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.29 | learning rate: 1.360E-04 | global batch size: 256 | lm loss: 3.735606E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.201 | TFLOPs: 30.50 | 7: iteration 5920/ 14324 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 0.29 | learning rate: 1.358E-04 | global batch size: 256 | lm loss: 3.729155E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.150 | TFLOPs: 30.50 | 7: iteration 5930/ 14324 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 0.29 | learning rate: 1.356E-04 | global batch size: 256 | lm loss: 3.734090E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.274 | TFLOPs: 30.43 | 7: iteration 5940/ 14324 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.29 | learning rate: 1.354E-04 | global batch size: 256 | lm loss: 3.725566E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.365 | TFLOPs: 30.47 | 7: iteration 5950/ 14324 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.30 | learning rate: 1.353E-04 | global batch size: 256 | lm loss: 3.739387E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.941 | TFLOPs: 30.03 | 7: iteration 5960/ 14324 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.30 | learning rate: 1.351E-04 | global batch size: 256 | lm loss: 3.730222E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.690 | TFLOPs: 30.17 | 7: iteration 5970/ 14324 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.29 | learning rate: 1.349E-04 | global batch size: 256 | lm loss: 3.727995E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.716 | TFLOPs: 30.48 | 7: iteration 5980/ 14324 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.29 | learning rate: 1.347E-04 | global batch size: 256 | lm loss: 3.725380E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.155 | TFLOPs: 30.50 | 7: iteration 5990/ 14324 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.29 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 3.727848E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.502 | TFLOPs: 30.51 | 0: [2023-03-16 23:21:28,265] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00013429302050146897, 0.00013429302050146897, 0.00013429302050146897], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 14324 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.29 | learning rate: 1.343E-04 | global batch size: 256 | lm loss: 3.734356E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.219 | TFLOPs: 30.50 | 0: steps: 6000 loss: 3.7285 iter time (s): 0.293 samples/sec: 874.144 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 6000 | lm loss value: 3.896999E+00 | lm loss PPL: 4.925440E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 6000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:21:28,386] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2023-03-16 23:21:28,389] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step6000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:21:28,474] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:21:28,766] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2023-03-16 23:21:28,766] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 6: [2023-03-16 23:21:28,766] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:21:28,766] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2023-03-16 23:21:28,766] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 7: [2023-03-16 23:21:28,766] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2023-03-16 23:21:28,780] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:21:28,780] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2023-03-16 23:21:28,780] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2023-03-16 23:21:28,796] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:21:28,796] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2023-03-16 23:21:28,796] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: successfully saved checkpoint at iteration 6000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 414.29 7: iteration 6010/ 14324 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.35 | learning rate: 1.341E-04 | global batch size: 256 | lm loss: 3.728114E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 739.212 | TFLOPs: 25.88 | 7: iteration 6020/ 14324 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.29 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 3.723599E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.967 | TFLOPs: 30.49 | 7: iteration 6030/ 14324 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.30 | learning rate: 1.337E-04 | global batch size: 256 | lm loss: 3.723435E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.298 | TFLOPs: 30.22 | 7: iteration 6040/ 14324 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.29 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 3.727302E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.001 | TFLOPs: 30.49 | 7: iteration 6050/ 14324 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.29 | learning rate: 1.333E-04 | global batch size: 256 | lm loss: 3.723053E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.800 | TFLOPs: 30.48 | 7: iteration 6060/ 14324 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.29 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 3.722548E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.623 | TFLOPs: 30.48 | 7: iteration 6070/ 14324 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.29 | learning rate: 1.329E-04 | global batch size: 256 | lm loss: 3.719022E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.626 | TFLOPs: 30.48 | 7: iteration 6080/ 14324 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.29 | learning rate: 1.328E-04 | global batch size: 256 | lm loss: 3.722942E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.803 | TFLOPs: 30.48 | 7: iteration 6090/ 14324 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.29 | learning rate: 1.326E-04 | global batch size: 256 | lm loss: 3.724390E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.690 | TFLOPs: 30.48 | 7: iteration 6100/ 14324 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.29 | learning rate: 1.324E-04 | global batch size: 256 | lm loss: 3.717520E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.344 | TFLOPs: 30.47 | 7: iteration 6110/ 14324 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.30 | learning rate: 1.322E-04 | global batch size: 256 | lm loss: 3.715576E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.138 | TFLOPs: 30.32 | 7: iteration 6120/ 14324 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.29 | learning rate: 1.320E-04 | global batch size: 256 | lm loss: 3.713550E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.332 | TFLOPs: 30.47 | 7: iteration 6130/ 14324 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.29 | learning rate: 1.318E-04 | global batch size: 256 | lm loss: 3.722616E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.463 | TFLOPs: 30.47 | 7: iteration 6140/ 14324 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.29 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 3.721092E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.184 | TFLOPs: 30.46 | 7: iteration 6150/ 14324 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.29 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 3.718390E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.137 | TFLOPs: 30.46 | 7: iteration 6160/ 14324 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.29 | learning rate: 1.312E-04 | global batch size: 256 | lm loss: 3.717149E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.886 | TFLOPs: 30.49 | 7: iteration 6170/ 14324 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.29 | learning rate: 1.310E-04 | global batch size: 256 | lm loss: 3.719406E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.500 | TFLOPs: 30.47 | 7: iteration 6180/ 14324 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.29 | learning rate: 1.308E-04 | global batch size: 256 | lm loss: 3.717362E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.773 | TFLOPs: 30.48 | 7: iteration 6190/ 14324 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.29 | learning rate: 1.306E-04 | global batch size: 256 | lm loss: 3.716243E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.388 | TFLOPs: 30.47 | 7: iteration 6200/ 14324 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.29 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 3.720463E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.723 | TFLOPs: 30.48 | 7: iteration 6210/ 14324 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.29 | learning rate: 1.302E-04 | global batch size: 256 | lm loss: 3.715221E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.238 | TFLOPs: 30.50 | 7: iteration 6220/ 14324 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.29 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 3.718448E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.937 | TFLOPs: 30.42 | 7: iteration 6230/ 14324 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.30 | learning rate: 1.298E-04 | global batch size: 256 | lm loss: 3.707040E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.774 | TFLOPs: 29.96 | 7: iteration 6240/ 14324 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 0.30 | learning rate: 1.297E-04 | global batch size: 256 | lm loss: 3.711200E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.141 | TFLOPs: 29.80 | 7: iteration 6250/ 14324 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.29 | learning rate: 1.295E-04 | global batch size: 256 | lm loss: 3.716881E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.355 | TFLOPs: 30.50 | 7: iteration 6260/ 14324 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.29 | learning rate: 1.293E-04 | global batch size: 256 | lm loss: 3.714275E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.825 | TFLOPs: 30.49 | 7: iteration 6270/ 14324 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.29 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 3.712577E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.462 | TFLOPs: 30.47 | 7: iteration 6280/ 14324 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.29 | learning rate: 1.289E-04 | global batch size: 256 | lm loss: 3.717445E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.368 | TFLOPs: 30.47 | 7: iteration 6290/ 14324 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.29 | learning rate: 1.287E-04 | global batch size: 256 | lm loss: 3.708981E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.496 | TFLOPs: 30.47 | 7: iteration 6300/ 14324 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.29 | learning rate: 1.285E-04 | global batch size: 256 | lm loss: 3.710742E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.650 | TFLOPs: 30.44 | 7: iteration 6310/ 14324 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.29 | learning rate: 1.283E-04 | global batch size: 256 | lm loss: 3.711329E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.479 | TFLOPs: 30.44 | 7: iteration 6320/ 14324 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.29 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 3.706931E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.776 | TFLOPs: 30.45 | 7: iteration 6330/ 14324 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.29 | learning rate: 1.279E-04 | global batch size: 256 | lm loss: 3.706007E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.893 | TFLOPs: 30.45 | 7: iteration 6340/ 14324 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.29 | learning rate: 1.277E-04 | global batch size: 256 | lm loss: 3.702705E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.749 | TFLOPs: 30.45 | 7: iteration 6350/ 14324 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.29 | learning rate: 1.275E-04 | global batch size: 256 | lm loss: 3.705863E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.064 | TFLOPs: 30.39 | 7: iteration 6360/ 14324 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 0.29 | learning rate: 1.273E-04 | global batch size: 256 | lm loss: 3.702896E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.935 | TFLOPs: 30.42 | 7: iteration 6370/ 14324 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.29 | learning rate: 1.271E-04 | global batch size: 256 | lm loss: 3.704366E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.313 | TFLOPs: 30.47 | 7: iteration 6380/ 14324 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 0.29 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 3.702339E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.226 | TFLOPs: 30.39 | 7: iteration 6390/ 14324 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.29 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 3.702579E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.151 | TFLOPs: 30.43 | 7: iteration 6400/ 14324 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.29 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 3.708075E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.256 | TFLOPs: 30.43 | 7: iteration 6410/ 14324 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 0.29 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 3.700413E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.385 | TFLOPs: 30.43 | 7: iteration 6420/ 14324 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 0.29 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 3.702901E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.944 | TFLOPs: 30.42 | 7: iteration 6430/ 14324 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 0.29 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 3.696439E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.932 | TFLOPs: 30.45 | 7: iteration 6440/ 14324 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.29 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 3.703064E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.115 | TFLOPs: 30.43 | 7: iteration 6450/ 14324 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 0.29 | learning rate: 1.255E-04 | global batch size: 256 | lm loss: 3.698248E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.577 | TFLOPs: 30.44 | 7: iteration 6460/ 14324 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 0.29 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 3.696429E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.619 | TFLOPs: 30.44 | 7: iteration 6470/ 14324 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.29 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 3.702782E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.817 | TFLOPs: 30.45 | 7: iteration 6480/ 14324 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.29 | learning rate: 1.250E-04 | global batch size: 256 | lm loss: 3.703254E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.534 | TFLOPs: 30.44 | 7: iteration 6490/ 14324 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.29 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 3.696043E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.962 | TFLOPs: 30.45 | 7: iteration 6500/ 14324 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.29 | learning rate: 1.246E-04 | global batch size: 256 | lm loss: 3.692186E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.876 | TFLOPs: 30.49 | 7: iteration 6510/ 14324 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.30 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 3.696077E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.071 | TFLOPs: 30.07 | 7: iteration 6520/ 14324 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 0.29 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 3.698221E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.647 | TFLOPs: 30.48 | 7: iteration 6530/ 14324 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.29 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 3.693323E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.646 | TFLOPs: 30.48 | 7: iteration 6540/ 14324 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.29 | learning rate: 1.238E-04 | global batch size: 256 | lm loss: 3.692357E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.460 | TFLOPs: 30.47 | 7: iteration 6550/ 14324 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.29 | learning rate: 1.236E-04 | global batch size: 256 | lm loss: 3.697459E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.760 | TFLOPs: 30.48 | 7: iteration 6560/ 14324 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.29 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 3.688428E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.638 | TFLOPs: 30.48 | 7: iteration 6570/ 14324 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.29 | learning rate: 1.232E-04 | global batch size: 256 | lm loss: 3.693771E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.079 | TFLOPs: 30.42 | 7: iteration 6580/ 14324 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.29 | learning rate: 1.230E-04 | global batch size: 256 | lm loss: 3.692634E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.504 | TFLOPs: 30.47 | 7: iteration 6590/ 14324 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.29 | learning rate: 1.228E-04 | global batch size: 256 | lm loss: 3.692627E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.238 | TFLOPs: 30.46 | 7: iteration 6600/ 14324 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.29 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 3.685812E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.929 | TFLOPs: 30.49 | 7: iteration 6610/ 14324 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.29 | learning rate: 1.224E-04 | global batch size: 256 | lm loss: 3.692197E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.537 | TFLOPs: 30.51 | 7: iteration 6620/ 14324 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.29 | learning rate: 1.222E-04 | global batch size: 256 | lm loss: 3.692632E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.803 | TFLOPs: 30.52 | 7: iteration 6630/ 14324 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.29 | learning rate: 1.220E-04 | global batch size: 256 | lm loss: 3.691518E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.709 | TFLOPs: 30.52 | 7: iteration 6640/ 14324 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.29 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 3.697505E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.885 | TFLOPs: 30.52 | 7: iteration 6650/ 14324 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.29 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 3.684948E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.933 | TFLOPs: 30.52 | 7: iteration 6660/ 14324 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.29 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 3.696675E+00 | grad norm: 0.390 | num zeros: 0.0 | number of 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validation loss at iteration 7000 | lm loss value: 3.894725E+00 | lm loss PPL: 4.914255E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 7000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:26:23,121] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2023-03-16 23:26:23,124] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step7000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:26:23,209] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/layer_01-model_00-model_states.pt. 0: [2023-03-16 23:26:23,210] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step7000/layer_03-model_00-model_states.pt... 0: [2023-03-16 23:26:23,226] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 1: [2023-03-16 23:26:23,497] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:26:23,497] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2023-03-16 23:26:23,497] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2023-03-16 23:26:23,496] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2023-03-16 23:26:23,496] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2023-03-16 23:26:23,496] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2023-03-16 23:26:23,501] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2023-03-16 23:26:23,501] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2023-03-16 23:26:23,500] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-16 23:26:23,500] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2023-03-16 23:26:23,501] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:26:23,501] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2023-03-16 23:26:23,502] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2023-03-16 23:26:23,502] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:26:23,502] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:26:23,502] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2023-03-16 23:26:23,502] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2023-03-16 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checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2023-03-16 23:26:23,503] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2023-03-16 23:26:23,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:26:23,503] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-16 23:26:23,503] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2023-03-16 23:26:23,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:26:23,504] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2023-03-16 23:26:23,503] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:26:23,504] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2023-03-16 23:26:23,504] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 3: [2023-03-16 23:26:23,503] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2023-03-16 23:26:23,503] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2023-03-16 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checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2023-03-16 23:26:23,510] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2023-03-16 23:26:23,513] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:26:23,513] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:26:23,513] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2023-03-16 23:26:23,513] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2023-03-16 23:26:23,513] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2023-03-16 23:26:23,513] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2023-03-16 23:26:23,523] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:26:23,523] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 406.56 7: iteration 7010/ 14324 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.34 | learning rate: 1.145E-04 | global batch size: 256 | lm loss: 3.660277E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 744.784 | TFLOPs: 26.07 | 7: iteration 7020/ 14324 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.29 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 3.669183E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.155 | TFLOPs: 30.50 | 7: iteration 7030/ 14324 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.29 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 3.661623E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.006 | TFLOPs: 30.49 | 7: iteration 7040/ 14324 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.29 | learning rate: 1.139E-04 | global batch size: 256 | lm loss: 3.666397E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.674 | TFLOPs: 30.48 | 7: iteration 7050/ 14324 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.29 | learning rate: 1.137E-04 | global batch size: 256 | lm loss: 3.663223E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.764 | TFLOPs: 30.48 | 7: iteration 7060/ 14324 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.29 | learning rate: 1.135E-04 | global batch size: 256 | lm loss: 3.664344E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.558 | TFLOPs: 30.48 | 7: iteration 7070/ 14324 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.29 | learning rate: 1.133E-04 | global batch size: 256 | lm loss: 3.672423E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.469 | TFLOPs: 30.47 | 7: iteration 7080/ 14324 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.29 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 3.668344E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.072 | TFLOPs: 30.49 | 7: iteration 7090/ 14324 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.29 | learning rate: 1.129E-04 | global batch size: 256 | lm loss: 3.665604E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.212 | TFLOPs: 30.46 | 7: iteration 7100/ 14324 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.29 | learning rate: 1.127E-04 | global batch size: 256 | lm loss: 3.668690E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.863 | TFLOPs: 30.49 | 7: iteration 7110/ 14324 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.29 | learning rate: 1.125E-04 | global batch size: 256 | lm loss: 3.661281E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.298 | TFLOPs: 30.40 | 7: iteration 7120/ 14324 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.29 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 3.664404E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.809 | TFLOPs: 30.48 | 7: iteration 7130/ 14324 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.29 | learning rate: 1.121E-04 | global batch size: 256 | lm loss: 3.671849E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.508 | TFLOPs: 30.47 | 7: iteration 7140/ 14324 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.29 | learning rate: 1.119E-04 | global batch size: 256 | lm loss: 3.658752E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.429 | TFLOPs: 30.47 | 7: iteration 7150/ 14324 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.29 | learning rate: 1.117E-04 | global batch size: 256 | lm loss: 3.662672E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.686 | TFLOPs: 30.48 | 7: iteration 7160/ 14324 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.29 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 3.654602E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.348 | TFLOPs: 30.47 | 7: iteration 7170/ 14324 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.29 | learning rate: 1.113E-04 | global batch size: 256 | lm loss: 3.670506E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.471 | TFLOPs: 30.47 | 7: iteration 7180/ 14324 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.29 | learning rate: 1.111E-04 | global batch size: 256 | lm loss: 3.662414E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.384 | TFLOPs: 30.47 | 7: iteration 7190/ 14324 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.29 | learning rate: 1.109E-04 | global batch size: 256 | lm loss: 3.663647E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.363 | TFLOPs: 30.47 | 7: iteration 7200/ 14324 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.29 | learning rate: 1.107E-04 | global batch size: 256 | lm loss: 3.659338E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.268 | TFLOPs: 30.47 | 7: iteration 7210/ 14324 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.29 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 3.654688E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.443 | TFLOPs: 30.47 | 7: iteration 7220/ 14324 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.29 | learning rate: 1.103E-04 | global batch size: 256 | lm loss: 3.653451E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.804 | TFLOPs: 30.48 | 7: iteration 7230/ 14324 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.29 | learning rate: 1.101E-04 | global batch size: 256 | lm loss: 3.656644E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.504 | TFLOPs: 30.47 | 7: iteration 7240/ 14324 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.29 | learning rate: 1.099E-04 | global batch size: 256 | lm loss: 3.658373E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.742 | TFLOPs: 30.45 | 7: iteration 7250/ 14324 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.30 | learning rate: 1.097E-04 | global batch size: 256 | lm loss: 3.652506E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.290 | TFLOPs: 30.12 | 7: iteration 7260/ 14324 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.29 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 3.655911E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.844 | TFLOPs: 30.49 | 7: iteration 7270/ 14324 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.29 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 3.643866E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.566 | TFLOPs: 30.48 | 7: iteration 7280/ 14324 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.29 | learning rate: 1.091E-04 | global batch size: 256 | lm loss: 3.652732E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.653 | TFLOPs: 30.48 | 7: iteration 7290/ 14324 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.29 | learning rate: 1.089E-04 | global batch size: 256 | lm loss: 3.650647E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.703 | TFLOPs: 30.48 | 7: iteration 7300/ 14324 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.29 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 3.651117E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | 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3.646999E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.855 | TFLOPs: 30.49 | 7: iteration 7370/ 14324 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.29 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 3.648241E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.808 | TFLOPs: 30.48 | 7: iteration 7380/ 14324 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.29 | learning rate: 1.071E-04 | global batch size: 256 | lm loss: 3.647969E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.706 | TFLOPs: 30.48 | 7: iteration 7390/ 14324 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.29 | learning rate: 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TFLOPs: 30.51 | 7: iteration 7510/ 14324 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 0.29 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 3.643355E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.425 | TFLOPs: 30.51 | 7: iteration 7520/ 14324 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 0.29 | learning rate: 1.043E-04 | global batch size: 256 | lm loss: 3.637874E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.548 | TFLOPs: 30.51 | 7: iteration 7530/ 14324 | consumed samples: 1927680 | consumed tokens: 3947888640 | elapsed time per iteration (s): 0.29 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 3.642707E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.016 | TFLOPs: 30.49 | 7: iteration 7540/ 14324 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.29 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 3.642330E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.617 | TFLOPs: 30.51 | 7: iteration 7550/ 14324 | consumed samples: 1932800 | consumed tokens: 3958374400 | elapsed time per iteration (s): 0.29 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 3.639564E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.001 | TFLOPs: 30.49 | 7: iteration 7560/ 14324 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.29 | learning rate: 1.035E-04 | global batch size: 256 | lm loss: 3.642102E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.236 | TFLOPs: 30.50 | 7: iteration 7570/ 14324 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.29 | learning rate: 1.033E-04 | global batch size: 256 | lm loss: 3.639011E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.030 | TFLOPs: 30.49 | 7: iteration 7580/ 14324 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.29 | learning rate: 1.031E-04 | global batch size: 256 | lm loss: 3.632413E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.831 | TFLOPs: 30.49 | 7: iteration 7590/ 14324 | consumed samples: 1943040 | consumed tokens: 3979345920 | elapsed time per iteration (s): 0.29 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 3.640403E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.157 | TFLOPs: 30.50 | 7: iteration 7600/ 14324 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 0.29 | learning rate: 1.027E-04 | global batch size: 256 | lm loss: 3.633968E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.046 | TFLOPs: 30.49 | 7: iteration 7610/ 14324 | consumed samples: 1948160 | consumed tokens: 3989831680 | elapsed time per iteration (s): 0.29 | learning rate: 1.025E-04 | global batch size: 256 | lm loss: 3.633504E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.201 | TFLOPs: 30.50 | 7: iteration 7620/ 14324 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 0.29 | learning rate: 1.023E-04 | global batch size: 256 | lm loss: 3.627058E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.499 | TFLOPs: 30.51 | 7: iteration 7630/ 14324 | consumed samples: 1953280 | consumed tokens: 4000317440 | elapsed time per iteration (s): 0.29 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 3.635865E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.776 | TFLOPs: 30.52 | 7: iteration 7640/ 14324 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 0.29 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 3.642070E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.505 | TFLOPs: 30.51 | 7: iteration 7650/ 14324 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.29 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 3.636631E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.504 | TFLOPs: 30.51 | 7: iteration 7660/ 14324 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.29 | learning rate: 1.015E-04 | global batch size: 256 | lm loss: 3.632339E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.648 | TFLOPs: 30.51 | 7: iteration 7670/ 14324 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.29 | learning rate: 1.013E-04 | global batch size: 256 | lm loss: 3.643518E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.522 | TFLOPs: 30.51 | 7: iteration 7680/ 14324 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.29 | learning rate: 1.011E-04 | global batch size: 256 | lm loss: 3.634200E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.335 | TFLOPs: 30.50 | 7: iteration 7690/ 14324 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.30 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 3.638978E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.856 | TFLOPs: 30.07 | 7: iteration 7700/ 14324 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.29 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 3.632718E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.695 | TFLOPs: 30.52 | 7: iteration 7710/ 14324 | consumed samples: 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iteration 7740/ 14324 | consumed samples: 1981440 | consumed tokens: 4057989120 | elapsed time per iteration (s): 0.29 | learning rate: 9.993E-05 | global batch size: 256 | lm loss: 3.634690E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.188 | TFLOPs: 30.50 | 7: iteration 7750/ 14324 | consumed samples: 1984000 | consumed tokens: 4063232000 | elapsed time per iteration (s): 0.30 | learning rate: 9.973E-05 | global batch size: 256 | lm loss: 3.630576E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.666 | TFLOPs: 30.06 | 7: iteration 7760/ 14324 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 0.30 | learning rate: 9.953E-05 | global batch size: 256 | lm loss: 3.634996E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.651 | TFLOPs: 30.09 | 7: iteration 7770/ 14324 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 0.29 | learning rate: 9.933E-05 | global batch size: 256 | lm loss: 3.631030E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.238 | TFLOPs: 30.50 | 7: iteration 7780/ 14324 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 0.29 | learning rate: 9.913E-05 | global batch size: 256 | lm loss: 3.626337E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.438 | TFLOPs: 30.51 | 7: iteration 7790/ 14324 | consumed samples: 1994240 | consumed tokens: 4084203520 | elapsed time per iteration (s): 0.29 | learning rate: 9.894E-05 | global batch size: 256 | lm loss: 3.633371E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.386 | TFLOPs: 30.50 | 7: iteration 7800/ 14324 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 0.29 | learning rate: 9.874E-05 | global batch size: 256 | lm loss: 3.634071E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.519 | TFLOPs: 30.51 | 7: iteration 7810/ 14324 | consumed samples: 1999360 | consumed tokens: 4094689280 | elapsed time per iteration (s): 0.29 | learning rate: 9.854E-05 | global batch size: 256 | lm loss: 3.634179E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.101 | TFLOPs: 30.49 | 7: iteration 7820/ 14324 | consumed samples: 2001920 | consumed tokens: 4099932160 | elapsed time per iteration (s): 0.30 | learning rate: 9.834E-05 | global batch size: 256 | lm loss: 3.627355E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.978 | TFLOPs: 30.11 | 7: iteration 7830/ 14324 | consumed samples: 2004480 | consumed tokens: 4105175040 | elapsed time per iteration (s): 0.29 | learning rate: 9.815E-05 | global batch size: 256 | lm loss: 3.627219E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.174 | TFLOPs: 30.50 | 7: iteration 7840/ 14324 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 0.29 | learning rate: 9.795E-05 | global batch size: 256 | lm loss: 3.631358E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.518 | TFLOPs: 30.51 | 7: iteration 7850/ 14324 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.29 | learning rate: 9.775E-05 | global batch size: 256 | lm loss: 3.620508E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.799 | TFLOPs: 30.52 | 7: iteration 7860/ 14324 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 0.29 | learning rate: 9.755E-05 | global batch size: 256 | lm loss: 3.627296E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.735 | TFLOPs: 30.52 | 7: iteration 7870/ 14324 | consumed samples: 2014720 | consumed tokens: 4126146560 | elapsed time per iteration (s): 0.29 | learning rate: 9.736E-05 | global batch size: 256 | lm loss: 3.622760E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.595 | TFLOPs: 30.51 | 7: iteration 7880/ 14324 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 0.29 | learning rate: 9.716E-05 | global batch size: 256 | lm loss: 3.626122E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.487 | TFLOPs: 30.51 | 7: iteration 7890/ 14324 | consumed samples: 2019840 | consumed tokens: 4136632320 | elapsed time per iteration (s): 0.29 | learning rate: 9.696E-05 | global batch size: 256 | lm loss: 3.624635E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.326 | TFLOPs: 30.50 | 7: iteration 7900/ 14324 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 0.29 | learning rate: 9.676E-05 | global batch size: 256 | lm loss: 3.621339E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.818 | TFLOPs: 30.52 | 7: iteration 7910/ 14324 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 0.29 | learning rate: 9.657E-05 | global batch size: 256 | lm loss: 3.621791E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.403 | TFLOPs: 30.51 | 7: iteration 7920/ 14324 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.29 | learning rate: 9.637E-05 | global batch size: 256 | lm loss: 3.617791E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.664 | TFLOPs: 30.48 | 7: iteration 7930/ 14324 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.29 | learning rate: 9.617E-05 | global batch size: 256 | lm loss: 3.627098E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.798 | TFLOPs: 30.48 | 7: iteration 7940/ 14324 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.29 | learning rate: 9.598E-05 | global batch size: 256 | lm loss: 3.627372E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.876 | TFLOPs: 30.49 | 7: iteration 7950/ 14324 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.29 | learning rate: 9.578E-05 | global batch size: 256 | lm loss: 3.619627E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.166 | TFLOPs: 30.50 | 7: iteration 7960/ 14324 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.29 | learning rate: 9.558E-05 | global batch size: 256 | lm loss: 3.621581E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.432 | TFLOPs: 30.51 | 7: iteration 7970/ 14324 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.29 | learning rate: 9.538E-05 | global batch size: 256 | lm loss: 3.622045E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.802 | TFLOPs: 30.52 | 7: iteration 7980/ 14324 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.29 | learning rate: 9.519E-05 | global batch size: 256 | lm loss: 3.627127E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.341 | TFLOPs: 30.50 | 7: iteration 7990/ 14324 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.29 | learning rate: 9.499E-05 | global batch size: 256 | lm loss: 3.628397E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.244 | TFLOPs: 30.50 | 0: [2023-03-16 23:31:17,629] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[9.479488677863128e-05, 9.479488677863128e-05, 9.479488677863128e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 8000/ 14324 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.29 | learning rate: 9.479E-05 | global batch size: 256 | lm loss: 3.616587E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.579 | TFLOPs: 30.51 | 0: steps: 8000 loss: 3.6246 iter time (s): 0.292 samples/sec: 876.572 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 8000 | lm loss value: 3.905132E+00 | lm loss PPL: 4.965663E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 8000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:31:17,750] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2023-03-16 23:31:17,753] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step8000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:31:17,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/layer_01-model_00-model_states.pt. 0: [2023-03-16 23:31:17,838] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step8000/layer_03-model_00-model_states.pt... 0: [2023-03-16 23:31:17,854] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/layer_03-model_00-model_states.pt. 0: [2023-03-16 23:31:17,854] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step8000/layer_04-model_00-model_states.pt... 0: 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checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2023-03-16 23:31:18,123] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 1: [2023-03-16 23:31:18,123] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:31:18,123] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2023-03-16 23:31:18,123] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 5: [2023-03-16 23:31:18,123] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:31:18,123] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2023-03-16 23:31:18,135] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2023-03-16 23:31:18,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 1: [2023-03-16 23:31:18,135] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 1: [2023-03-16 23:31:18,135] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:31:18,136] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2023-03-16 23:31:18,136] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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Checkpoint global_step8000 is ready now! 2: [2023-03-16 23:31:18,131] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-16 23:31:18,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2023-03-16 23:31:18,131] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:31:18,131] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-16 23:31:18,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 1: [2023-03-16 23:31:18,142] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:31:18,142] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2023-03-16 23:31:18,142] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 1: [2023-03-16 23:31:18,142] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:31:18,142] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2023-03-16 23:31:18,142] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 1: [2023-03-16 23:31:18,142] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:31:18,143] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2023-03-16 23:31:18,143] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: [2023-03-16 23:31:18,148] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step8000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:31:18,148] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: successfully saved checkpoint at iteration 8000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 405.40 7: iteration 8010/ 14324 | consumed samples: 2050560 | consumed tokens: 4199546880 | elapsed time per iteration (s): 0.35 | learning rate: 9.460E-05 | global batch size: 256 | lm loss: 3.620680E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 741.441 | TFLOPs: 25.96 | 7: iteration 8020/ 14324 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.29 | learning rate: 9.440E-05 | global batch size: 256 | lm loss: 3.620188E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.501 | TFLOPs: 30.51 | 7: iteration 8030/ 14324 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.29 | learning rate: 9.421E-05 | global batch size: 256 | lm loss: 3.615776E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.694 | TFLOPs: 30.52 | 7: iteration 8040/ 14324 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 0.29 | learning rate: 9.401E-05 | global batch size: 256 | lm loss: 3.622039E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.288 | TFLOPs: 30.50 | 7: iteration 8050/ 14324 | consumed samples: 2060800 | consumed tokens: 4220518400 | elapsed time per iteration (s): 0.29 | learning rate: 9.381E-05 | global batch size: 256 | lm loss: 3.621989E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.332 | TFLOPs: 30.50 | 7: iteration 8060/ 14324 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 0.29 | learning rate: 9.362E-05 | global batch size: 256 | lm loss: 3.617270E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.433 | TFLOPs: 30.40 | 7: iteration 8070/ 14324 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.29 | learning rate: 9.342E-05 | global batch size: 256 | lm loss: 3.614720E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.342 | TFLOPs: 30.40 | 7: iteration 8080/ 14324 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.29 | learning rate: 9.323E-05 | global batch size: 256 | lm loss: 3.610126E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.168 | TFLOPs: 30.39 | 7: iteration 8090/ 14324 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.30 | learning rate: 9.303E-05 | global batch size: 256 | lm loss: 3.615997E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.754 | TFLOPs: 30.24 | 7: iteration 8100/ 14324 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 0.30 | learning rate: 9.283E-05 | global batch size: 256 | lm loss: 3.619065E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.777 | TFLOPs: 30.38 | 7: iteration 8110/ 14324 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 0.29 | learning rate: 9.264E-05 | global batch size: 256 | lm loss: 3.610399E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.939 | TFLOPs: 30.38 | 7: iteration 8120/ 14324 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 0.29 | learning rate: 9.244E-05 | global batch size: 256 | lm loss: 3.613201E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.986 | TFLOPs: 30.42 | 7: iteration 8130/ 14324 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.29 | learning rate: 9.225E-05 | global batch size: 256 | lm loss: 3.610245E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.079 | TFLOPs: 30.39 | 7: iteration 8140/ 14324 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.29 | learning rate: 9.205E-05 | global batch size: 256 | lm loss: 3.614185E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.418 | TFLOPs: 30.40 | 7: iteration 8150/ 14324 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.29 | learning rate: 9.186E-05 | global batch size: 256 | lm loss: 3.613106E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.030 | TFLOPs: 30.39 | 7: iteration 8160/ 14324 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.30 | learning rate: 9.166E-05 | global batch size: 256 | lm loss: 3.616266E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.760 | TFLOPs: 30.38 | 7: iteration 8170/ 14324 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.29 | learning rate: 9.147E-05 | global batch size: 256 | lm loss: 3.616724E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.478 | TFLOPs: 30.40 | 7: iteration 8180/ 14324 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.30 | learning rate: 9.127E-05 | global batch size: 256 | lm loss: 3.607349E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.764 | TFLOPs: 30.38 | 7: iteration 8190/ 14324 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.30 | learning rate: 9.108E-05 | global batch size: 256 | lm loss: 3.612090E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.230 | TFLOPs: 30.36 | 7: iteration 8200/ 14324 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.29 | learning rate: 9.088E-05 | global batch size: 256 | lm loss: 3.608445E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.156 | TFLOPs: 30.39 | 7: iteration 8210/ 14324 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.29 | learning rate: 9.069E-05 | global batch size: 256 | lm loss: 3.614933E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.020 | TFLOPs: 30.39 | 7: iteration 8220/ 14324 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.30 | learning rate: 9.049E-05 | global batch size: 256 | lm loss: 3.615398E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.526 | TFLOPs: 30.37 | 7: iteration 8230/ 14324 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.29 | learning rate: 9.030E-05 | global batch size: 256 | lm loss: 3.616507E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.039 | TFLOPs: 30.39 | 7: iteration 8240/ 14324 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.30 | learning rate: 9.010E-05 | global batch size: 256 | lm loss: 3.610083E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.711 | TFLOPs: 30.38 | 7: iteration 8250/ 14324 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 0.30 | learning rate: 8.991E-05 | global batch size: 256 | lm loss: 3.607329E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.791 | TFLOPs: 30.38 | 7: iteration 8260/ 14324 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 0.29 | learning rate: 8.971E-05 | global batch size: 256 | lm loss: 3.608304E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.805 | TFLOPs: 30.38 | 7: iteration 8270/ 14324 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 0.30 | learning rate: 8.952E-05 | global batch size: 256 | lm loss: 3.608804E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.351 | TFLOPs: 30.36 | 7: iteration 8280/ 14324 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.30 | learning rate: 8.933E-05 | global batch size: 256 | lm loss: 3.612374E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.435 | TFLOPs: 30.09 | 7: iteration 8290/ 14324 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.29 | learning rate: 8.913E-05 | global batch size: 256 | lm loss: 3.611326E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.158 | TFLOPs: 30.46 | 7: iteration 8300/ 14324 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.29 | learning rate: 8.894E-05 | global batch size: 256 | lm loss: 3.605485E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.184 | TFLOPs: 30.46 | 7: iteration 8310/ 14324 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.29 | learning rate: 8.874E-05 | global batch size: 256 | lm loss: 3.608684E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.025 | TFLOPs: 30.46 | 7: iteration 8320/ 14324 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.29 | learning rate: 8.855E-05 | global batch size: 256 | lm loss: 3.612551E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.123 | TFLOPs: 30.46 | 7: iteration 8330/ 14324 | consumed samples: 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second: 871.023 | TFLOPs: 30.49 | 7: iteration 8390/ 14324 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.29 | learning rate: 8.720E-05 | global batch size: 256 | lm loss: 3.600049E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.789 | TFLOPs: 30.48 | 7: iteration 8400/ 14324 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 0.29 | learning rate: 8.700E-05 | global batch size: 256 | lm loss: 3.606499E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.590 | TFLOPs: 30.48 | 7: iteration 8410/ 14324 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.29 | learning rate: 8.681E-05 | global batch size: 256 | lm loss: 3.615630E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.859 | TFLOPs: 30.49 | 7: iteration 8420/ 14324 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.29 | learning rate: 8.662E-05 | global batch size: 256 | lm loss: 3.599878E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.130 | TFLOPs: 30.46 | 7: iteration 8430/ 14324 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.29 | learning rate: 8.643E-05 | global batch size: 256 | lm loss: 3.607785E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.644 | TFLOPs: 30.48 | 7: iteration 8440/ 14324 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.29 | learning rate: 8.623E-05 | global batch size: 256 | lm loss: 3.601824E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.813 | TFLOPs: 30.48 | 7: iteration 8450/ 14324 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.29 | learning rate: 8.604E-05 | global batch size: 256 | lm loss: 3.604324E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.473 | TFLOPs: 30.47 | 7: iteration 8460/ 14324 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.29 | learning rate: 8.585E-05 | global batch size: 256 | lm loss: 3.600662E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.369 | TFLOPs: 30.47 | 7: iteration 8470/ 14324 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.29 | learning rate: 8.566E-05 | global batch size: 256 | lm loss: 3.609892E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.207 | TFLOPs: 30.50 | 7: iteration 8480/ 14324 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.29 | learning rate: 8.547E-05 | global batch size: 256 | lm loss: 3.602806E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.810 | TFLOPs: 30.48 | 7: iteration 8490/ 14324 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.30 | learning rate: 8.527E-05 | global batch size: 256 | lm loss: 3.597220E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.900 | TFLOPs: 30.07 | 7: iteration 8500/ 14324 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.29 | learning rate: 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.815 | TFLOPs: 30.48 | 7: iteration 8940/ 14324 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.29 | learning rate: 7.678E-05 | global batch size: 256 | lm loss: 3.584414E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.708 | TFLOPs: 30.48 | 7: iteration 8950/ 14324 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.29 | learning rate: 7.660E-05 | global batch size: 256 | lm loss: 3.580969E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.949 | TFLOPs: 30.45 | 7: iteration 8960/ 14324 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.29 | learning rate: 7.641E-05 | global batch size: 256 | lm loss: 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7.586E-05 | global batch size: 256 | lm loss: 3.581469E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.435 | TFLOPs: 30.47 | 7: iteration 9000/ 14324 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.29 | learning rate: 7.568E-05 | global batch size: 256 | lm loss: 3.583265E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.762 | TFLOPs: 30.45 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 9000 | lm loss value: 3.876155E+00 | lm loss PPL: 4.823837E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 9000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:36:12,638] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] 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[Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:36:13,018] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:36:13,019] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 4: [2023-03-16 23:36:13,019] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 0: [2023-03-16 23:36:13,019] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 4: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: 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bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:36:13,019] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 5: [2023-03-16 23:36:13,019] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 2: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 5: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 6: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:36:13,019] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 1: [2023-03-16 23:36:13,019] [INFO] [engine.py:3213:_save_zero_checkpoint] 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[2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2023-03-16 23:36:13,019] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:36:13,020] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:36:13,020] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:36:13,020] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2023-03-16 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checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2023-03-16 23:36:13,020] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2023-03-16 23:36:13,020] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 1: [2023-03-16 23:36:13,021] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:36:13,021] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2023-03-16 23:36:13,022] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2023-03-16 23:36:13,022] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:36:13,022] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:36:13,022] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2023-03-16 23:36:13,022] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:36:13,024] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step9000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2023-03-16 23:36:13,024] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 396.41 7: iteration 9010/ 14324 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.34 | learning rate: 7.549E-05 | global batch size: 256 | lm loss: 3.581042E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 745.308 | TFLOPs: 26.09 | 7: iteration 9020/ 14324 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.29 | learning rate: 7.531E-05 | global batch size: 256 | lm loss: 3.582960E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.189 | TFLOPs: 30.50 | 7: iteration 9030/ 14324 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.29 | learning rate: 7.512E-05 | global batch size: 256 | lm loss: 3.577598E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.264 | TFLOPs: 30.50 | 7: iteration 9040/ 14324 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.29 | learning rate: 7.494E-05 | global batch size: 256 | lm loss: 3.575082E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.670 | TFLOPs: 30.51 | 7: iteration 9050/ 14324 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.29 | learning rate: 7.476E-05 | global batch size: 256 | lm loss: 3.577407E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.437 | TFLOPs: 30.51 | 7: iteration 9060/ 14324 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.29 | learning rate: 7.457E-05 | global batch size: 256 | lm loss: 3.575385E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.102 | TFLOPs: 30.49 | 7: iteration 9070/ 14324 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.29 | learning rate: 7.439E-05 | global batch size: 256 | lm loss: 3.572398E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.078 | TFLOPs: 30.49 | 7: iteration 9080/ 14324 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.30 | learning rate: 7.421E-05 | global batch size: 256 | lm loss: 3.577831E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.829 | TFLOPs: 29.96 | 7: iteration 9090/ 14324 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.29 | learning rate: 7.402E-05 | global batch size: 256 | lm loss: 3.576751E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.699 | TFLOPs: 30.45 | 7: iteration 9100/ 14324 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.29 | learning rate: 7.384E-05 | global batch size: 256 | lm loss: 3.581725E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.894 | TFLOPs: 30.45 | 7: iteration 9110/ 14324 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.30 | learning rate: 7.366E-05 | global batch size: 256 | lm loss: 3.574184E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.073 | TFLOPs: 30.35 | 7: iteration 9120/ 14324 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.29 | learning rate: 7.348E-05 | global batch size: 256 | lm loss: 3.577616E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.802 | TFLOPs: 30.45 | 7: iteration 9130/ 14324 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.29 | learning rate: 7.329E-05 | global batch size: 256 | lm loss: 3.573343E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.535 | TFLOPs: 30.48 | 7: iteration 9140/ 14324 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.29 | learning rate: 7.311E-05 | global batch size: 256 | lm loss: 3.583918E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.181 | TFLOPs: 30.46 | 7: iteration 9150/ 14324 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.29 | learning rate: 7.293E-05 | global batch size: 256 | lm loss: 3.580846E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.504 | TFLOPs: 30.47 | 7: iteration 9160/ 14324 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.29 | learning rate: 7.275E-05 | global batch size: 256 | lm loss: 3.574797E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.215 | TFLOPs: 30.46 | 7: iteration 9170/ 14324 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.29 | learning rate: 7.257E-05 | global batch size: 256 | lm loss: 3.571500E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.407 | TFLOPs: 30.47 | 7: iteration 9180/ 14324 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.29 | learning rate: 7.239E-05 | global batch size: 256 | lm loss: 3.577223E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.072 | TFLOPs: 30.46 | 7: iteration 9190/ 14324 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.29 | learning rate: 7.220E-05 | global batch size: 256 | lm loss: 3.578798E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.482 | TFLOPs: 30.47 | 7: iteration 9200/ 14324 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.29 | learning rate: 7.202E-05 | global batch size: 256 | lm loss: 3.577863E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.237 | TFLOPs: 30.46 | 7: iteration 9210/ 14324 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.29 | learning rate: 7.184E-05 | global batch size: 256 | lm loss: 3.573883E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.408 | TFLOPs: 30.47 | 7: iteration 9220/ 14324 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.29 | learning rate: 7.166E-05 | global batch size: 256 | lm loss: 3.573888E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.123 | TFLOPs: 30.46 | 7: iteration 9230/ 14324 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.29 | learning rate: 7.148E-05 | global batch size: 256 | lm loss: 3.570766E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.908 | TFLOPs: 30.49 | 7: iteration 9240/ 14324 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.29 | learning rate: 7.130E-05 | global batch size: 256 | lm loss: 3.569844E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.379 | TFLOPs: 30.47 | 7: iteration 9250/ 14324 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.29 | learning rate: 7.112E-05 | global batch size: 256 | lm loss: 3.573442E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.560 | TFLOPs: 30.48 | 7: iteration 9260/ 14324 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.29 | learning rate: 7.094E-05 | global batch size: 256 | lm loss: 3.573454E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.426 | TFLOPs: 30.47 | 7: iteration 9270/ 14324 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.29 | learning rate: 7.076E-05 | global batch size: 256 | lm loss: 3.564767E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.224 | TFLOPs: 30.46 | 7: iteration 9280/ 14324 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.29 | learning rate: 7.058E-05 | global batch size: 256 | lm loss: 3.567374E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.836 | TFLOPs: 30.49 | 7: iteration 9290/ 14324 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.29 | learning rate: 7.040E-05 | global batch size: 256 | lm loss: 3.574825E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.706 | TFLOPs: 30.48 | 7: iteration 9300/ 14324 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.29 | learning rate: 7.023E-05 | global batch size: 256 | lm loss: 3.568720E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.547 | TFLOPs: 30.48 | 7: iteration 9310/ 14324 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.29 | learning rate: 7.005E-05 | global batch size: 256 | lm loss: 3.568007E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.784 | TFLOPs: 30.48 | 7: iteration 9320/ 14324 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.29 | learning rate: 6.987E-05 | global batch size: 256 | lm loss: 3.562284E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.923 | TFLOPs: 30.49 | 7: iteration 9330/ 14324 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.29 | learning rate: 6.969E-05 | global batch size: 256 | lm loss: 3.567776E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.721 | TFLOPs: 30.48 | 7: iteration 9340/ 14324 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.29 | learning rate: 6.951E-05 | global batch size: 256 | lm loss: 3.570747E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.715 | TFLOPs: 30.48 | 7: iteration 9350/ 14324 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.29 | learning rate: 6.933E-05 | global batch size: 256 | lm loss: 3.568178E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.469 | TFLOPs: 30.47 | 7: iteration 9360/ 14324 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.29 | learning rate: 6.916E-05 | global batch size: 256 | lm loss: 3.575517E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.445 | TFLOPs: 30.47 | 7: iteration 9370/ 14324 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 0.29 | learning rate: 6.898E-05 | global batch size: 256 | lm loss: 3.569378E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.447 | TFLOPs: 30.47 | 7: iteration 9380/ 14324 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.29 | learning rate: 6.880E-05 | global batch size: 256 | lm loss: 3.560392E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.244 | TFLOPs: 30.46 | 7: iteration 9390/ 14324 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.29 | learning rate: 6.862E-05 | global batch size: 256 | lm loss: 3.568180E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.866 | TFLOPs: 30.49 | 7: iteration 9400/ 14324 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.29 | learning rate: 6.845E-05 | global batch size: 256 | lm loss: 3.569035E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.490 | TFLOPs: 30.47 | 7: iteration 9410/ 14324 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.29 | learning rate: 6.827E-05 | global batch size: 256 | lm loss: 3.568655E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.611 | TFLOPs: 30.48 | 7: iteration 9420/ 14324 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.29 | learning rate: 6.809E-05 | global batch size: 256 | lm loss: 3.562477E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.373 | TFLOPs: 30.47 | 7: iteration 9430/ 14324 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.29 | learning rate: 6.792E-05 | global batch size: 256 | lm loss: 3.567112E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.485 | TFLOPs: 30.47 | 7: iteration 9440/ 14324 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.29 | learning rate: 6.774E-05 | global batch size: 256 | lm loss: 3.561013E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.200 | TFLOPs: 30.46 | 7: iteration 9450/ 14324 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.29 | learning rate: 6.757E-05 | global batch size: 256 | lm loss: 3.570173E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.247 | TFLOPs: 30.46 | 7: iteration 9460/ 14324 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 0.29 | learning rate: 6.739E-05 | global batch size: 256 | lm loss: 3.561895E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.468 | TFLOPs: 30.47 | 7: iteration 9470/ 14324 | consumed samples: 2424320 | consumed tokens: 4965007360 | elapsed time per iteration (s): 0.29 | learning rate: 6.721E-05 | global batch size: 256 | lm loss: 3.568309E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.299 | TFLOPs: 30.47 | 7: iteration 9480/ 14324 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 0.29 | learning rate: 6.704E-05 | global batch size: 256 | lm loss: 3.565926E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.471 | TFLOPs: 30.47 | 7: iteration 9490/ 14324 | consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 0.29 | learning rate: 6.686E-05 | global batch size: 256 | lm loss: 3.567309E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.207 | TFLOPs: 30.46 | 7: iteration 9500/ 14324 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.29 | learning rate: 6.669E-05 | global batch size: 256 | lm loss: 3.566082E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.952 | TFLOPs: 30.45 | 7: iteration 9510/ 14324 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.29 | learning rate: 6.651E-05 | global batch size: 256 | lm loss: 3.564336E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.291 | TFLOPs: 30.43 | 7: iteration 9520/ 14324 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time per iteration (s): 0.29 | learning rate: 6.634E-05 | global batch size: 256 | lm loss: 3.557472E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.275 | TFLOPs: 30.47 | 7: iteration 9530/ 14324 | consumed samples: 2439680 | consumed tokens: 4996464640 | elapsed time per iteration (s): 0.29 | learning rate: 6.617E-05 | global batch size: 256 | lm loss: 3.564372E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.968 | TFLOPs: 30.46 | 7: iteration 9540/ 14324 | consumed samples: 2442240 | consumed tokens: 5001707520 | elapsed time per iteration (s): 0.29 | learning rate: 6.599E-05 | global batch size: 256 | lm loss: 3.561885E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.277 | TFLOPs: 30.47 | 7: iteration 9550/ 14324 | consumed samples: 2444800 | consumed tokens: 5006950400 | elapsed time per iteration (s): 0.29 | learning rate: 6.582E-05 | global batch size: 256 | lm loss: 3.561364E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.114 | TFLOPs: 30.50 | 7: iteration 9560/ 14324 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 0.30 | learning rate: 6.564E-05 | global batch size: 256 | lm loss: 3.562070E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.402 | TFLOPs: 29.95 | 7: iteration 9570/ 14324 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 0.29 | learning rate: 6.547E-05 | global batch size: 256 | lm loss: 3.563349E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.506 | TFLOPs: 30.47 | 7: iteration 9580/ 14324 | consumed samples: 2452480 | consumed tokens: 5022679040 | elapsed time per iteration (s): 0.29 | learning rate: 6.530E-05 | global batch size: 256 | lm loss: 3.553589E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.080 | TFLOPs: 30.49 | 7: iteration 9590/ 14324 | consumed samples: 2455040 | consumed tokens: 5027921920 | elapsed time per iteration (s): 0.29 | learning rate: 6.512E-05 | global batch size: 256 | lm loss: 3.557807E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.252 | TFLOPs: 30.50 | 7: iteration 9600/ 14324 | consumed samples: 2457600 | consumed tokens: 5033164800 | elapsed time per iteration (s): 0.29 | learning rate: 6.495E-05 | global batch size: 256 | lm loss: 3.563701E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.611 | TFLOPs: 30.48 | 7: iteration 9610/ 14324 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 0.29 | learning rate: 6.478E-05 | global batch size: 256 | lm loss: 3.557696E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.593 | TFLOPs: 30.48 | 7: iteration 9620/ 14324 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 0.30 | learning rate: 6.461E-05 | global batch size: 256 | lm loss: 3.562645E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.186 | TFLOPs: 30.36 | 7: iteration 9630/ 14324 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 0.29 | learning rate: 6.443E-05 | global batch size: 256 | lm loss: 3.556743E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.284 | TFLOPs: 30.50 | 7: iteration 9640/ 14324 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.29 | learning rate: 6.426E-05 | global batch size: 256 | lm loss: 3.559110E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.530 | TFLOPs: 30.47 | 7: iteration 9650/ 14324 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.29 | learning rate: 6.409E-05 | global batch size: 256 | lm loss: 3.562705E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.905 | TFLOPs: 30.49 | 7: iteration 9660/ 14324 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 0.29 | learning rate: 6.392E-05 | global batch size: 256 | lm loss: 3.560328E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.700 | TFLOPs: 30.48 | 7: iteration 9670/ 14324 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 0.29 | learning rate: 6.375E-05 | global batch size: 256 | lm loss: 3.559526E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.530 | TFLOPs: 30.44 | 7: iteration 9680/ 14324 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 0.29 | learning rate: 6.358E-05 | global batch size: 256 | lm loss: 3.558758E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.937 | TFLOPs: 30.42 | 7: iteration 9690/ 14324 | consumed samples: 2480640 | consumed tokens: 5080350720 | elapsed time per iteration (s): 0.29 | learning rate: 6.341E-05 | global batch size: 256 | lm loss: 3.554388E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.483 | TFLOPs: 30.44 | 7: iteration 9700/ 14324 | consumed samples: 2483200 | consumed tokens: 5085593600 | elapsed time per iteration (s): 0.29 | learning rate: 6.324E-05 | global batch size: 256 | lm loss: 3.555069E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.461 | TFLOPs: 30.47 | 7: iteration 9710/ 14324 | consumed samples: 2485760 | consumed tokens: 5090836480 | elapsed time per iteration (s): 0.29 | learning rate: 6.307E-05 | global batch size: 256 | lm loss: 3.560891E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.614 | TFLOPs: 30.51 | 7: iteration 9720/ 14324 | consumed samples: 2488320 | consumed tokens: 5096079360 | elapsed time per iteration (s): 0.29 | learning rate: 6.290E-05 | global batch size: 256 | lm loss: 3.561141E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.314 | TFLOPs: 30.50 | 7: iteration 9730/ 14324 | consumed samples: 2490880 | consumed tokens: 5101322240 | elapsed time per iteration (s): 0.29 | learning rate: 6.273E-05 | global batch size: 256 | lm loss: 3.555044E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.971 | TFLOPs: 30.49 | 7: iteration 9740/ 14324 | consumed samples: 2493440 | consumed tokens: 5106565120 | elapsed time per iteration (s): 0.29 | learning rate: 6.256E-05 | global batch size: 256 | lm loss: 3.561420E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.105 | TFLOPs: 30.49 | 7: iteration 9750/ 14324 | consumed samples: 2496000 | consumed tokens: 5111808000 | elapsed time per iteration (s): 0.29 | learning rate: 6.239E-05 | global batch size: 256 | lm loss: 3.552225E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.069 | TFLOPs: 30.49 | 7: iteration 9760/ 14324 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 0.29 | learning rate: 6.222E-05 | global batch size: 256 | lm loss: 3.547121E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.971 | TFLOPs: 30.49 | 7: iteration 9770/ 14324 | consumed samples: 2501120 | consumed tokens: 5122293760 | elapsed time per iteration (s): 0.29 | learning rate: 6.205E-05 | global batch size: 256 | lm loss: 3.554202E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.134 | TFLOPs: 30.50 | 7: iteration 9780/ 14324 | consumed samples: 2503680 | consumed tokens: 5127536640 | elapsed time per iteration (s): 0.29 | learning rate: 6.188E-05 | global batch size: 256 | lm loss: 3.556705E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.013 | TFLOPs: 30.49 | 7: iteration 9790/ 14324 | consumed samples: 2506240 | consumed tokens: 5132779520 | elapsed time per iteration (s): 0.29 | learning rate: 6.171E-05 | global batch size: 256 | lm loss: 3.552715E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.070 | TFLOPs: 30.49 | 7: iteration 9800/ 14324 | consumed samples: 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second: 871.184 | TFLOPs: 30.50 | 7: iteration 9860/ 14324 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 0.29 | learning rate: 6.054E-05 | global batch size: 256 | lm loss: 3.553743E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.819 | TFLOPs: 30.48 | 7: iteration 9870/ 14324 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 0.29 | learning rate: 6.037E-05 | global batch size: 256 | lm loss: 3.552746E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.528 | TFLOPs: 30.47 | 7: iteration 9880/ 14324 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 0.29 | learning rate: 6.021E-05 | global batch size: 256 | lm loss: 3.547657E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.477 | TFLOPs: 30.51 | 7: iteration 9920/ 14324 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 0.29 | learning rate: 5.955E-05 | global batch size: 256 | lm loss: 3.552166E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.596 | TFLOPs: 30.51 | 7: iteration 9930/ 14324 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 0.29 | learning rate: 5.938E-05 | global batch size: 256 | lm loss: 3.554227E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.431 | TFLOPs: 30.51 | 7: iteration 9940/ 14324 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 0.29 | learning rate: 5.922E-05 | global batch size: 256 | lm loss: 3.549427E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.765 | TFLOPs: 30.52 | 7: iteration 9950/ 14324 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.29 | learning rate: 5.905E-05 | global batch size: 256 | lm loss: 3.546786E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.546 | TFLOPs: 30.51 | 7: iteration 9960/ 14324 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.29 | learning rate: 5.889E-05 | global batch size: 256 | lm loss: 3.554094E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.413 | TFLOPs: 30.51 | 7: iteration 9970/ 14324 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.29 | learning rate: 5.872E-05 | global batch size: 256 | lm loss: 3.553165E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.148 | TFLOPs: 30.50 | 7: iteration 9980/ 14324 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.29 | learning rate: 5.856E-05 | global batch size: 256 | lm loss: 3.541894E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.404 | TFLOPs: 30.51 | 7: iteration 9990/ 14324 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.29 | learning rate: 5.840E-05 | global batch size: 256 | lm loss: 3.550870E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.475 | TFLOPs: 30.51 | 0: [2023-03-16 23:41:07,172] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[5.823320272718836e-05, 5.823320272718836e-05, 5.823320272718836e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 14324 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.29 | learning rate: 5.823E-05 | global batch size: 256 | lm loss: 3.547620E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.532 | TFLOPs: 30.51 | 0: steps: 10000 loss: 3.5623 iter time (s): 0.292 samples/sec: 876.598 7: ------------------------------------------------------------------------------------------------ 7: validation loss at iteration 10000 | lm loss value: 3.838708E+00 | lm loss PPL: 4.646539E+01 | 7: ------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 10000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:41:07,294] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2023-03-16 23:41:07,297] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step10000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:41:07,382] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/layer_01-model_00-model_states.pt. 0: [2023-03-16 23:41:07,382] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step10000/layer_03-model_00-model_states.pt... 0: [2023-03-16 23:41:07,398] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/layer_03-model_00-model_states.pt. 0: [2023-03-16 23:41:07,399] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step10000/layer_04-model_00-model_states.pt... 0: [2023-03-16 23:41:07,413] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2023-03-16 23:41:07,672] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2023-03-16 23:41:07,673] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:41:07,673] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2023-03-16 23:41:07,673] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2023-03-16 23:41:07,674] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:41:07,674] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2023-03-16 23:41:07,674] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2023-03-16 23:41:07,677] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:41:07,677] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-16 23:41:07,677] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2023-03-16 23:41:07,677] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:41:07,677] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2023-03-16 23:41:07,677] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:41:07,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 1: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:41:07,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2023-03-16 23:41:07,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2023-03-16 23:41:07,678] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2023-03-16 23:41:07,678] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2023-03-16 23:41:07,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:41:07,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2023-03-16 23:41:07,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2023-03-16 23:41:07,679] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:41:07,679] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2023-03-16 23:41:07,679] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: [2023-03-16 23:41:07,695] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:41:07,695] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2023-03-16 23:41:07,695] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: [2023-03-16 23:41:07,697] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step10000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:41:07,697] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 408.47 7: iteration 10010/ 14324 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 0.35 | learning rate: 5.807E-05 | global batch size: 256 | lm loss: 3.546145E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 740.181 | TFLOPs: 25.91 | 7: iteration 10020/ 14324 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.29 | learning rate: 5.791E-05 | global batch size: 256 | lm loss: 3.550066E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.261 | TFLOPs: 30.50 | 7: iteration 10030/ 14324 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.29 | learning rate: 5.775E-05 | global batch size: 256 | lm loss: 3.548077E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.067 | TFLOPs: 30.46 | 7: iteration 10040/ 14324 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.30 | learning rate: 5.758E-05 | global batch size: 256 | lm loss: 3.547919E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.128 | TFLOPs: 30.18 | 7: iteration 10050/ 14324 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.29 | learning rate: 5.742E-05 | global batch size: 256 | lm loss: 3.549080E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.739 | TFLOPs: 30.45 | 7: iteration 10060/ 14324 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.29 | learning rate: 5.726E-05 | global batch size: 256 | lm loss: 3.545633E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.004 | TFLOPs: 30.42 | 7: iteration 10070/ 14324 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.29 | learning rate: 5.710E-05 | global batch size: 256 | lm loss: 3.541227E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.337 | TFLOPs: 30.43 | 7: iteration 10080/ 14324 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.29 | learning rate: 5.694E-05 | global batch size: 256 | lm loss: 3.545110E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.633 | TFLOPs: 30.44 | 7: iteration 10090/ 14324 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.29 | learning rate: 5.678E-05 | global batch size: 256 | lm loss: 3.551771E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.248 | TFLOPs: 30.43 | 7: iteration 10100/ 14324 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.29 | learning rate: 5.662E-05 | global batch size: 256 | lm loss: 3.545447E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.353 | TFLOPs: 30.47 | 7: iteration 10110/ 14324 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.29 | learning rate: 5.645E-05 | global batch size: 256 | lm loss: 3.542764E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.257 | TFLOPs: 30.47 | 7: iteration 10120/ 14324 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.29 | learning rate: 5.629E-05 | global batch size: 256 | lm loss: 3.543777E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.122 | TFLOPs: 30.46 | 7: iteration 10130/ 14324 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.29 | learning rate: 5.613E-05 | global batch size: 256 | lm loss: 3.544038E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.104 | TFLOPs: 30.49 | 7: iteration 10140/ 14324 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.29 | learning rate: 5.598E-05 | global batch size: 256 | lm loss: 3.542059E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.941 | TFLOPs: 30.49 | 7: iteration 10150/ 14324 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.29 | learning rate: 5.582E-05 | global batch size: 256 | lm loss: 3.553880E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.557 | TFLOPs: 30.44 | 7: iteration 10160/ 14324 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.29 | learning rate: 5.566E-05 | global batch size: 256 | lm loss: 3.547342E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.628 | TFLOPs: 30.44 | 7: iteration 10170/ 14324 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.29 | learning rate: 5.550E-05 | global batch size: 256 | lm loss: 3.553173E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.116 | TFLOPs: 30.46 | 7: iteration 10180/ 14324 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 0.29 | learning rate: 5.534E-05 | global batch size: 256 | lm loss: 3.543986E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.898 | TFLOPs: 30.45 | 7: iteration 10190/ 14324 | consumed samples: 2608640 | consumed tokens: 5342494720 | elapsed time per iteration (s): 0.29 | learning rate: 5.518E-05 | global batch size: 256 | lm loss: 3.543509E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.664 | TFLOPs: 30.44 | 7: iteration 10200/ 14324 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 0.29 | learning rate: 5.502E-05 | global batch size: 256 | lm loss: 3.542319E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.951 | TFLOPs: 30.49 | 7: iteration 10210/ 14324 | consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 0.29 | learning rate: 5.487E-05 | global batch size: 256 | lm loss: 3.536378E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.829 | TFLOPs: 30.49 | 7: iteration 10220/ 14324 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 0.29 | learning rate: 5.471E-05 | global batch size: 256 | lm loss: 3.540937E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.436 | 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iterations: 0 | samples per second: 870.192 | TFLOPs: 30.46 | 7: iteration 10260/ 14324 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.29 | learning rate: 5.408E-05 | global batch size: 256 | lm loss: 3.535792E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.150 | TFLOPs: 30.46 | 7: iteration 10270/ 14324 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.29 | learning rate: 5.392E-05 | global batch size: 256 | lm loss: 3.539059E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.469 | TFLOPs: 30.47 | 7: iteration 10280/ 14324 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 0.29 | learning rate: 5.377E-05 | global batch size: 256 | lm loss: 3.545417E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.477 | TFLOPs: 30.47 | 7: iteration 10290/ 14324 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 0.29 | learning rate: 5.361E-05 | global batch size: 256 | lm loss: 3.544847E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.926 | TFLOPs: 30.49 | 7: iteration 10300/ 14324 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.29 | learning rate: 5.346E-05 | global batch size: 256 | lm loss: 3.541155E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.820 | TFLOPs: 30.45 | 7: iteration 10310/ 14324 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.29 | learning rate: 5.330E-05 | global batch size: 256 | lm loss: 3.543960E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.421 | TFLOPs: 30.47 | 7: iteration 10320/ 14324 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.30 | learning rate: 5.315E-05 | global batch size: 256 | lm loss: 3.539456E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.611 | TFLOPs: 30.20 | 7: iteration 10330/ 14324 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.29 | learning rate: 5.299E-05 | global batch size: 256 | lm loss: 3.535357E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.191 | TFLOPs: 30.46 | 7: iteration 10340/ 14324 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.29 | learning rate: 5.284E-05 | global batch size: 256 | lm loss: 3.531778E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.086 | TFLOPs: 30.46 | 7: iteration 10350/ 14324 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.29 | learning rate: 5.269E-05 | global batch size: 256 | lm loss: 3.539603E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.205 | TFLOPs: 30.46 | 7: iteration 10360/ 14324 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.29 | learning rate: 5.253E-05 | global batch size: 256 | lm loss: 3.546626E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.631 | TFLOPs: 30.44 | 7: iteration 10370/ 14324 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 0.29 | learning rate: 5.238E-05 | global batch size: 256 | lm loss: 3.536979E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.491 | TFLOPs: 30.47 | 7: iteration 10380/ 14324 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 0.29 | learning rate: 5.223E-05 | global batch size: 256 | lm loss: 3.541619E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.758 | TFLOPs: 30.45 | 7: iteration 10390/ 14324 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.29 | learning rate: 5.207E-05 | global batch size: 256 | lm loss: 3.538610E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.420 | TFLOPs: 30.47 | 7: iteration 10400/ 14324 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.29 | learning rate: 5.192E-05 | global batch size: 256 | lm loss: 3.540649E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.751 | TFLOPs: 30.45 | 7: iteration 10410/ 14324 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.29 | learning rate: 5.177E-05 | global batch size: 256 | lm loss: 3.539343E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.286 | TFLOPs: 30.47 | 7: iteration 10420/ 14324 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.29 | learning rate: 5.162E-05 | global batch size: 256 | lm loss: 3.546394E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.878 | TFLOPs: 30.45 | 7: iteration 10430/ 14324 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 0.29 | learning rate: 5.147E-05 | global batch size: 256 | lm loss: 3.538837E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.518 | TFLOPs: 30.47 | 7: iteration 10440/ 14324 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 0.29 | learning rate: 5.131E-05 | global batch size: 256 | lm loss: 3.540847E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.344 | TFLOPs: 30.47 | 7: iteration 10450/ 14324 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.29 | learning rate: 5.116E-05 | global batch size: 256 | lm loss: 3.536943E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.728 | TFLOPs: 30.48 | 7: iteration 10460/ 14324 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.29 | learning rate: 5.101E-05 | global batch size: 256 | lm loss: 3.542821E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.209 | TFLOPs: 30.46 | 7: iteration 10470/ 14324 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.29 | learning rate: 5.086E-05 | global batch size: 256 | lm loss: 3.538458E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.662 | TFLOPs: 30.44 | 7: iteration 10480/ 14324 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.29 | learning rate: 5.071E-05 | global batch size: 256 | lm loss: 3.533466E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan 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0.29 | learning rate: 4.893E-05 | global batch size: 256 | lm loss: 3.533323E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.409 | TFLOPs: 30.47 | 7: iteration 10610/ 14324 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.29 | learning rate: 4.879E-05 | global batch size: 256 | lm loss: 3.540646E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.770 | TFLOPs: 30.48 | 7: iteration 10620/ 14324 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 0.29 | learning rate: 4.864E-05 | global batch size: 256 | lm loss: 3.535387E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.757 | TFLOPs: 30.48 | 7: iteration 10630/ 14324 | consumed samples: 2721280 | consumed tokens: 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grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.862 | TFLOPs: 30.49 | 7: iteration 10780/ 14324 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 0.29 | learning rate: 4.635E-05 | global batch size: 256 | lm loss: 3.529093E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.031 | TFLOPs: 30.49 | 7: iteration 10790/ 14324 | consumed samples: 2762240 | consumed tokens: 5657067520 | elapsed time per iteration (s): 0.29 | learning rate: 4.620E-05 | global batch size: 256 | lm loss: 3.522854E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.998 | TFLOPs: 30.49 | 7: iteration 10800/ 14324 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 0.29 | learning rate: 4.606E-05 | global batch size: 256 | lm loss: 3.527391E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.070 | TFLOPs: 30.49 | 7: iteration 10810/ 14324 | consumed samples: 2767360 | consumed tokens: 5667553280 | elapsed time per iteration (s): 0.29 | learning rate: 4.592E-05 | global batch size: 256 | lm loss: 3.520501E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.759 | TFLOPs: 30.48 | 7: iteration 10820/ 14324 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 0.29 | learning rate: 4.578E-05 | global batch size: 256 | lm loss: 3.532821E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.139 | TFLOPs: 30.50 | 7: iteration 10830/ 14324 | consumed samples: 2772480 | consumed tokens: 5678039040 | elapsed time per iteration (s): 0.29 | learning rate: 4.564E-05 | global batch size: 256 | lm loss: 3.521998E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.616 | TFLOPs: 30.48 | 7: iteration 10840/ 14324 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 0.29 | learning rate: 4.551E-05 | global batch size: 256 | lm loss: 3.531955E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.180 | TFLOPs: 30.46 | 7: iteration 10850/ 14324 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 0.29 | learning rate: 4.537E-05 | global batch size: 256 | lm loss: 3.532124E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.601 | TFLOPs: 30.48 | 7: iteration 10860/ 14324 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 0.29 | learning rate: 4.523E-05 | global batch size: 256 | lm loss: 3.519886E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.934 | TFLOPs: 30.45 | 7: iteration 10870/ 14324 | consumed samples: 2782720 | consumed tokens: 5699010560 | elapsed time per iteration (s): 0.29 | learning rate: 4.509E-05 | global batch size: 256 | lm loss: 3.525272E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.565 | TFLOPs: 30.48 | 7: iteration 10880/ 14324 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 0.29 | learning rate: 4.495E-05 | global batch size: 256 | lm loss: 3.520213E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.826 | TFLOPs: 30.49 | 7: iteration 10890/ 14324 | consumed samples: 2787840 | consumed tokens: 5709496320 | elapsed time per iteration (s): 0.29 | learning rate: 4.481E-05 | global batch size: 256 | lm loss: 3.526411E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.129 | TFLOPs: 30.50 | 7: iteration 10900/ 14324 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 0.29 | learning rate: 4.468E-05 | global batch size: 256 | lm loss: 3.531711E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.134 | TFLOPs: 30.46 | 7: iteration 10910/ 14324 | consumed samples: 2792960 | consumed tokens: 5719982080 | elapsed time per iteration (s): 0.29 | learning rate: 4.454E-05 | global batch size: 256 | lm loss: 3.526486E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.680 | TFLOPs: 30.45 | 7: iteration 10920/ 14324 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 0.29 | learning rate: 4.440E-05 | global batch size: 256 | lm loss: 3.524765E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.685 | TFLOPs: 30.45 | 7: iteration 10930/ 14324 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 0.29 | learning rate: 4.427E-05 | global batch size: 256 | lm loss: 3.524669E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.046 | TFLOPs: 30.46 | 7: iteration 10940/ 14324 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.32 | learning rate: 4.413E-05 | global batch size: 256 | lm loss: 3.528884E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.601 | TFLOPs: 28.31 | 7: iteration 10950/ 14324 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.30 | learning rate: 4.400E-05 | global batch size: 256 | lm loss: 3.516722E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.658 | TFLOPs: 29.67 | 7: iteration 10960/ 14324 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.29 | learning rate: 4.386E-05 | global batch size: 256 | lm loss: 3.527381E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.948 | TFLOPs: 30.45 | 7: iteration 10970/ 14324 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 0.29 | learning rate: 4.372E-05 | global batch size: 256 | lm loss: 3.524431E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.598 | TFLOPs: 30.44 | 7: iteration 10980/ 14324 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.29 | learning rate: 4.359E-05 | global batch size: 256 | lm loss: 3.533190E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.809 | TFLOPs: 30.45 | 7: iteration 10990/ 14324 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.29 | learning rate: 4.346E-05 | global batch size: 256 | lm loss: 3.519718E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.612 | TFLOPs: 30.44 | 7: iteration 11000/ 14324 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.30 | learning rate: 4.332E-05 | global batch size: 256 | lm loss: 3.526880E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.517 | TFLOPs: 29.88 | 7: ------------------------------------------------------------------------------------------------ 7: validation loss at iteration 11000 | lm loss value: 3.937503E+00 | lm loss PPL: 5.129039E+01 | 7: ------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 11000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:46:02,377] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save! 0: [2023-03-16 23:46:02,380] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step11000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:46:02,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step11000/layer_01-model_00-model_states.pt. 0: [2023-03-16 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[2023-03-16 23:46:02,752] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2023-03-16 23:46:02,753] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2023-03-16 23:46:02,753] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:46:02,753] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:46:02,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 1: [2023-03-16 23:46:02,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 7: [2023-03-16 23:46:02,753] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 1: [2023-03-16 23:46:02,753] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2023-03-16 23:46:02,753] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:46:02,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2023-03-16 23:46:02,753] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2023-03-16 23:46:02,754] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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Saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:46:02,761] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-16 23:46:02,761] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2023-03-16 23:46:02,761] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step11000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:46:02,761] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: successfully saved checkpoint at iteration 11000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 397.82 7: iteration 11010/ 14324 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.35 | learning rate: 4.319E-05 | global batch size: 256 | lm loss: 3.517737E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 738.840 | TFLOPs: 25.86 | 7: iteration 11020/ 14324 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.29 | learning rate: 4.305E-05 | global batch size: 256 | lm loss: 3.525108E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.626 | TFLOPs: 30.48 | 7: iteration 11030/ 14324 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.29 | learning rate: 4.292E-05 | global batch size: 256 | lm loss: 3.523890E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.088 | TFLOPs: 30.49 | 7: iteration 11040/ 14324 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.29 | learning rate: 4.279E-05 | global batch size: 256 | lm loss: 3.518334E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.324 | TFLOPs: 30.50 | 7: iteration 11050/ 14324 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.29 | learning rate: 4.266E-05 | global batch size: 256 | lm loss: 3.525053E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.936 | TFLOPs: 30.49 | 7: iteration 11060/ 14324 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.29 | learning rate: 4.252E-05 | global batch size: 256 | lm loss: 3.524402E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.995 | TFLOPs: 30.49 | 7: iteration 11070/ 14324 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.29 | learning rate: 4.239E-05 | global batch size: 256 | lm loss: 3.523449E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.122 | TFLOPs: 30.50 | 7: iteration 11080/ 14324 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.29 | learning rate: 4.226E-05 | global batch size: 256 | lm loss: 3.522627E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.935 | TFLOPs: 30.49 | 7: iteration 11090/ 14324 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.29 | learning rate: 4.213E-05 | global batch size: 256 | lm loss: 3.525054E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.576 | TFLOPs: 30.48 | 7: iteration 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second: 835.425 | TFLOPs: 29.25 | 7: iteration 11130/ 14324 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.29 | learning rate: 4.161E-05 | global batch size: 256 | lm loss: 3.517113E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.312 | TFLOPs: 30.47 | 7: iteration 11140/ 14324 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.29 | learning rate: 4.148E-05 | global batch size: 256 | lm loss: 3.513852E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.411 | TFLOPs: 30.47 | 7: iteration 11150/ 14324 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.29 | learning rate: 4.135E-05 | global batch size: 256 | lm loss: 3.519092E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.640 | TFLOPs: 30.48 | 7: iteration 11160/ 14324 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.29 | learning rate: 4.122E-05 | global batch size: 256 | lm loss: 3.511426E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.155 | TFLOPs: 30.46 | 7: iteration 11170/ 14324 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 0.29 | learning rate: 4.109E-05 | global batch size: 256 | lm loss: 3.523339E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.030 | TFLOPs: 30.42 | 7: iteration 11180/ 14324 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 0.29 | learning rate: 4.096E-05 | global batch size: 256 | lm loss: 3.515105E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.399 | TFLOPs: 30.47 | 7: iteration 11190/ 14324 | consumed samples: 2864640 | consumed tokens: 5866782720 | elapsed time per iteration (s): 0.29 | learning rate: 4.084E-05 | global batch size: 256 | lm loss: 3.517194E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.830 | TFLOPs: 30.45 | 7: iteration 11200/ 14324 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.29 | learning rate: 4.071E-05 | global batch size: 256 | lm loss: 3.518869E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.262 | TFLOPs: 30.47 | 7: iteration 11210/ 14324 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.29 | learning rate: 4.058E-05 | global batch size: 256 | lm loss: 3.516151E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.443 | TFLOPs: 30.47 | 7: iteration 11220/ 14324 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.29 | learning rate: 4.046E-05 | global batch size: 256 | lm loss: 3.510112E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.966 | TFLOPs: 30.46 | 7: iteration 11230/ 14324 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.29 | learning rate: 4.033E-05 | global batch size: 256 | lm loss: 3.524359E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.975 | TFLOPs: 30.46 | 7: iteration 11240/ 14324 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.29 | learning rate: 4.020E-05 | global batch size: 256 | lm loss: 3.523792E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.334 | TFLOPs: 30.47 | 7: iteration 11250/ 14324 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.29 | learning rate: 4.008E-05 | global batch size: 256 | lm loss: 3.515026E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.253 | TFLOPs: 30.47 | 7: iteration 11260/ 14324 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.29 | learning rate: 3.995E-05 | global batch size: 256 | lm loss: 3.521981E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.211 | TFLOPs: 30.46 | 7: iteration 11270/ 14324 | consumed samples: 2885120 | consumed tokens: 5908725760 | elapsed time per iteration (s): 0.29 | learning rate: 3.983E-05 | global batch size: 256 | lm loss: 3.512518E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.944 | TFLOPs: 30.45 | 7: iteration 11280/ 14324 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 0.29 | learning rate: 3.970E-05 | global batch size: 256 | lm loss: 3.514458E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.183 | TFLOPs: 30.46 | 7: iteration 11290/ 14324 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.29 | learning rate: 3.958E-05 | global batch size: 256 | lm loss: 3.523884E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.841 | TFLOPs: 30.45 | 7: iteration 11300/ 14324 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.30 | learning rate: 3.945E-05 | global batch size: 256 | lm loss: 3.526749E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.386 | TFLOPs: 29.59 | 7: iteration 11310/ 14324 | consumed samples: 2895360 | consumed tokens: 5929697280 | elapsed time per iteration (s): 0.30 | learning rate: 3.933E-05 | global batch size: 256 | lm loss: 3.511922E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.136 | TFLOPs: 29.59 | 7: iteration 11320/ 14324 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 0.29 | learning rate: 3.921E-05 | global batch size: 256 | lm loss: 3.517913E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.127 | TFLOPs: 30.46 | 7: iteration 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second: 870.047 | TFLOPs: 30.46 | 7: iteration 11360/ 14324 | consumed samples: 2908160 | consumed tokens: 5955911680 | elapsed time per iteration (s): 0.29 | learning rate: 3.872E-05 | global batch size: 256 | lm loss: 3.514816E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.924 | TFLOPs: 30.45 | 7: iteration 11370/ 14324 | consumed samples: 2910720 | consumed tokens: 5961154560 | elapsed time per iteration (s): 0.29 | learning rate: 3.860E-05 | global batch size: 256 | lm loss: 3.516320E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.634 | TFLOPs: 30.48 | 7: iteration 11380/ 14324 | consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 0.29 | learning rate: 3.847E-05 | global batch size: 256 | lm loss: 3.518237E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.306 | TFLOPs: 30.47 | 7: iteration 11390/ 14324 | consumed samples: 2915840 | consumed tokens: 5971640320 | elapsed time per iteration (s): 0.29 | learning rate: 3.835E-05 | global batch size: 256 | lm loss: 3.517929E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.743 | TFLOPs: 30.48 | 7: iteration 11400/ 14324 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 0.29 | learning rate: 3.823E-05 | global batch size: 256 | lm loss: 3.512925E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.528 | TFLOPs: 30.47 | 7: iteration 11410/ 14324 | consumed samples: 2920960 | consumed tokens: 5982126080 | elapsed time per iteration (s): 0.29 | learning rate: 3.811E-05 | global batch size: 256 | lm loss: 3.516986E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.414 | TFLOPs: 30.47 | 7: iteration 11420/ 14324 | consumed samples: 2923520 | consumed tokens: 5987368960 | elapsed time per iteration (s): 0.29 | learning rate: 3.799E-05 | global batch size: 256 | lm loss: 3.512671E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.278 | TFLOPs: 30.47 | 7: iteration 11430/ 14324 | consumed samples: 2926080 | consumed tokens: 5992611840 | elapsed time per iteration (s): 0.29 | learning rate: 3.787E-05 | global batch size: 256 | lm loss: 3.516042E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.560 | TFLOPs: 30.48 | 7: iteration 11440/ 14324 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.29 | learning rate: 3.776E-05 | global batch size: 256 | lm loss: 3.513795E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.915 | TFLOPs: 30.49 | 7: iteration 11450/ 14324 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.29 | learning rate: 3.764E-05 | global batch size: 256 | lm loss: 3.516658E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.804 | TFLOPs: 30.48 | 7: iteration 11460/ 14324 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 0.29 | learning rate: 3.752E-05 | global batch size: 256 | lm loss: 3.509579E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.889 | TFLOPs: 30.45 | 7: iteration 11470/ 14324 | consumed samples: 2936320 | consumed tokens: 6013583360 | elapsed time per iteration (s): 0.29 | learning rate: 3.740E-05 | global batch size: 256 | lm loss: 3.525718E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.044 | TFLOPs: 30.46 | 7: iteration 11480/ 14324 | consumed samples: 2938880 | consumed tokens: 6018826240 | elapsed time per iteration (s): 0.29 | learning rate: 3.728E-05 | global batch size: 256 | lm loss: 3.519289E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.796 | TFLOPs: 30.48 | 7: iteration 11490/ 14324 | consumed samples: 2941440 | consumed tokens: 6024069120 | elapsed time per iteration (s): 0.29 | learning rate: 3.717E-05 | global batch size: 256 | lm loss: 3.507807E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.262 | TFLOPs: 30.47 | 7: iteration 11500/ 14324 | consumed samples: 2944000 | consumed tokens: 6029312000 | elapsed time per iteration (s): 0.29 | learning rate: 3.705E-05 | global batch size: 256 | lm loss: 3.509340E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.126 | TFLOPs: 30.43 | 7: iteration 11510/ 14324 | consumed samples: 2946560 | consumed tokens: 6034554880 | elapsed time per iteration (s): 0.29 | learning rate: 3.693E-05 | global batch size: 256 | lm loss: 3.511516E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.632 | TFLOPs: 30.44 | 7: iteration 11520/ 14324 | consumed samples: 2949120 | consumed tokens: 6039797760 | elapsed time per iteration (s): 0.29 | learning rate: 3.682E-05 | global batch size: 256 | lm loss: 3.512546E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.726 | TFLOPs: 30.45 | 7: iteration 11530/ 14324 | consumed samples: 2951680 | consumed tokens: 6045040640 | elapsed time per iteration (s): 0.30 | learning rate: 3.670E-05 | global batch size: 256 | lm loss: 3.513325E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.566 | TFLOPs: 29.53 | 7: iteration 11540/ 14324 | consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 0.31 | learning rate: 3.658E-05 | global batch size: 256 | lm loss: 3.512089E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.382 | TFLOPs: 28.54 | 7: iteration 11550/ 14324 | consumed samples: 2956800 | consumed tokens: 6055526400 | elapsed time per iteration (s): 0.30 | learning rate: 3.647E-05 | global batch size: 256 | lm loss: 3.515298E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.569 | TFLOPs: 29.99 | 7: iteration 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second: 868.896 | TFLOPs: 30.42 | 7: iteration 11590/ 14324 | consumed samples: 2967040 | consumed tokens: 6076497920 | elapsed time per iteration (s): 0.29 | learning rate: 3.601E-05 | global batch size: 256 | lm loss: 3.505020E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.936 | TFLOPs: 30.45 | 7: iteration 11600/ 14324 | consumed samples: 2969600 | consumed tokens: 6081740800 | elapsed time per iteration (s): 0.29 | learning rate: 3.590E-05 | global batch size: 256 | lm loss: 3.506836E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.399 | TFLOPs: 30.40 | 7: iteration 11610/ 14324 | consumed samples: 2972160 | consumed tokens: 6086983680 | elapsed time per iteration (s): 0.29 | learning rate: 3.579E-05 | global batch size: 256 | lm loss: 3.511692E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.899 | TFLOPs: 30.49 | 7: iteration 11620/ 14324 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 0.29 | learning rate: 3.567E-05 | global batch size: 256 | lm loss: 3.512047E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.657 | TFLOPs: 30.48 | 7: iteration 11630/ 14324 | consumed samples: 2977280 | consumed tokens: 6097469440 | elapsed time per iteration (s): 0.29 | learning rate: 3.556E-05 | global batch size: 256 | lm loss: 3.504613E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.351 | TFLOPs: 30.50 | 7: iteration 11640/ 14324 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 0.29 | learning rate: 3.545E-05 | global batch size: 256 | lm loss: 3.513887E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.196 | TFLOPs: 30.50 | 7: iteration 11650/ 14324 | consumed samples: 2982400 | consumed tokens: 6107955200 | elapsed time per iteration (s): 0.29 | learning rate: 3.534E-05 | global batch size: 256 | lm loss: 3.511264E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.927 | TFLOPs: 30.49 | 7: iteration 11660/ 14324 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 0.29 | learning rate: 3.523E-05 | global batch size: 256 | lm loss: 3.511192E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.531 | TFLOPs: 30.44 | 7: iteration 11670/ 14324 | consumed samples: 2987520 | consumed tokens: 6118440960 | elapsed time per iteration (s): 0.29 | learning rate: 3.512E-05 | global batch size: 256 | lm loss: 3.501804E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.622 | TFLOPs: 30.44 | 7: iteration 11680/ 14324 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 0.29 | learning rate: 3.500E-05 | global batch size: 256 | lm loss: 3.509481E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.515 | TFLOPs: 30.40 | 7: iteration 11690/ 14324 | consumed samples: 2992640 | consumed tokens: 6128926720 | elapsed time per iteration (s): 0.29 | learning rate: 3.489E-05 | global batch size: 256 | lm loss: 3.510214E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.982 | TFLOPs: 30.42 | 7: iteration 11700/ 14324 | consumed samples: 2995200 | consumed tokens: 6134169600 | elapsed time per iteration (s): 0.29 | learning rate: 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3.237E-05 | global batch size: 256 | lm loss: 3.504655E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.096 | TFLOPs: 30.39 | 7: iteration 11940/ 14324 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 0.29 | learning rate: 3.226E-05 | global batch size: 256 | lm loss: 3.509309E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.157 | TFLOPs: 30.39 | 7: iteration 11950/ 14324 | consumed samples: 3059200 | consumed tokens: 6265241600 | elapsed time per iteration (s): 0.29 | learning rate: 3.216E-05 | global batch size: 256 | lm loss: 3.510336E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.135 | TFLOPs: 30.39 | 7: iteration 11960/ 14324 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 0.29 | learning rate: 3.206E-05 | global batch size: 256 | lm loss: 3.504484E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.262 | TFLOPs: 30.40 | 7: iteration 11970/ 14324 | consumed samples: 3064320 | consumed tokens: 6275727360 | elapsed time per iteration (s): 0.29 | learning rate: 3.197E-05 | global batch size: 256 | lm loss: 3.512921E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.988 | TFLOPs: 30.42 | 7: iteration 11980/ 14324 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 0.29 | learning rate: 3.187E-05 | global batch size: 256 | lm loss: 3.500492E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.735 | TFLOPs: 30.41 | 7: iteration 11990/ 14324 | consumed samples: 3069440 | consumed tokens: 6286213120 | elapsed time per iteration (s): 0.29 | learning rate: 3.177E-05 | global batch size: 256 | lm loss: 3.507143E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.376 | TFLOPs: 30.40 | 0: [2023-03-16 23:50:57,824] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[3.1668852640169795e-05, 3.1668852640169795e-05, 3.1668852640169795e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 12000/ 14324 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.29 | learning rate: 3.167E-05 | global batch size: 256 | lm loss: 3.500391E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.824 | TFLOPs: 30.42 | 0: steps: 12000 loss: 3.4866 iter time (s): 0.293 samples/sec: 874.794 7: ------------------------------------------------------------------------------------------------ 7: validation loss at iteration 12000 | lm loss value: 3.869807E+00 | lm loss PPL: 4.793316E+01 | 7: ------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 12000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:50:57,953] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step12000 is begin to save! 0: [2023-03-16 23:50:57,957] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step12000/layer_01-model_00-model_states.pt... 0: [2023-03-16 23:50:58,041] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/layer_01-model_00-model_states.pt. 0: [2023-03-16 23:50:58,042] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step12000/layer_03-model_00-model_states.pt... 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checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2023-03-16 23:50:58,323] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: [2023-03-16 23:50:58,324] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:50:58,324] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2023-03-16 23:50:58,324] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2023-03-16 23:50:58,324] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 2: [2023-03-16 23:50:58,324] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2023-03-16 23:50:58,325] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2023-03-16 23:50:58,326] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 5: [2023-03-16 23:50:58,326] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 1: [2023-03-16 23:50:58,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 3: [2023-03-16 23:50:58,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:50:58,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2023-03-16 23:50:58,326] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 1: [2023-03-16 23:50:58,327] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:50:58,327] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2023-03-16 23:50:58,327] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 6: [2023-03-16 23:50:58,327] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-16 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[2023-03-16 23:50:58,336] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-16 23:50:58,336] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2023-03-16 23:50:58,336] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 7: [2023-03-16 23:50:58,336] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 1: [2023-03-16 23:50:58,337] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2023-03-16 23:50:58,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2023-03-16 23:50:58,337] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 5: [2023-03-16 23:50:58,337] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:50:58,337] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2023-03-16 23:50:58,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2023-03-16 23:50:58,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2023-03-16 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:50:58,356] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step12000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2023-03-16 23:50:58,356] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: successfully saved checkpoint at iteration 12000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 407.23 7: iteration 12010/ 14324 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.35 | learning rate: 3.157E-05 | global batch size: 256 | lm loss: 3.504280E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 735.708 | TFLOPs: 25.76 | 7: iteration 12020/ 14324 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.29 | learning rate: 3.147E-05 | global batch size: 256 | lm loss: 3.503187E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.348 | TFLOPs: 30.47 | 7: iteration 12030/ 14324 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.29 | learning rate: 3.138E-05 | global batch size: 256 | lm loss: 3.507012E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.963 | TFLOPs: 30.49 | 7: iteration 12040/ 14324 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 0.29 | learning rate: 3.128E-05 | global batch size: 256 | lm loss: 3.501978E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.482 | TFLOPs: 30.47 | 7: iteration 12050/ 14324 | consumed samples: 3084800 | consumed tokens: 6317670400 | elapsed time per iteration (s): 0.29 | learning rate: 3.118E-05 | global batch size: 256 | lm loss: 3.498956E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.493 | TFLOPs: 30.51 | 7: iteration 12060/ 14324 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 0.29 | learning rate: 3.109E-05 | global batch size: 256 | lm loss: 3.506066E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.494 | TFLOPs: 30.51 | 7: iteration 12070/ 14324 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.29 | learning rate: 3.099E-05 | global batch size: 256 | lm loss: 3.496285E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.412 | TFLOPs: 30.44 | 7: iteration 12080/ 14324 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.29 | learning rate: 3.090E-05 | global batch size: 256 | lm loss: 3.504379E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.179 | TFLOPs: 30.39 | 7: iteration 12090/ 14324 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.29 | learning rate: 3.080E-05 | global batch size: 256 | lm loss: 3.506178E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.861 | TFLOPs: 30.42 | 7: iteration 12100/ 14324 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.29 | learning rate: 3.071E-05 | global batch size: 256 | lm loss: 3.499725E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.727 | TFLOPs: 30.41 | 7: iteration 12110/ 14324 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.29 | learning rate: 3.061E-05 | global batch size: 256 | lm loss: 3.497750E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.716 | TFLOPs: 30.41 | 7: iteration 12120/ 14324 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 0.30 | learning rate: 3.052E-05 | global batch size: 256 | lm loss: 3.503825E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.809 | TFLOPs: 30.10 | 7: iteration 12130/ 14324 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.29 | learning rate: 3.043E-05 | global batch size: 256 | lm loss: 3.494296E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.665 | TFLOPs: 30.41 | 7: iteration 12140/ 14324 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.29 | learning rate: 3.033E-05 | global batch size: 256 | lm loss: 3.499485E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.792 | TFLOPs: 30.41 | 7: iteration 12150/ 14324 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.29 | learning rate: 3.024E-05 | global batch size: 256 | lm loss: 3.502587E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.440 | TFLOPs: 30.40 | 7: iteration 12160/ 14324 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.29 | learning rate: 3.015E-05 | global batch size: 256 | lm loss: 3.502851E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.580 | TFLOPs: 30.41 | 7: iteration 12170/ 14324 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.29 | learning rate: 3.006E-05 | global batch size: 256 | lm loss: 3.508140E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.932 | TFLOPs: 30.45 | 7: iteration 12180/ 14324 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.29 | learning rate: 2.996E-05 | global batch size: 256 | lm loss: 3.509049E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.904 | TFLOPs: 30.45 | 7: iteration 12190/ 14324 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 0.29 | learning rate: 2.987E-05 | global batch size: 256 | lm loss: 3.502654E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.819 | TFLOPs: 30.48 | 7: iteration 12200/ 14324 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 0.29 | learning rate: 2.978E-05 | global batch size: 256 | lm loss: 3.502805E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.254 | TFLOPs: 30.47 | 7: iteration 12210/ 14324 | consumed samples: 3125760 | consumed tokens: 6401556480 | elapsed time per iteration (s): 0.29 | learning rate: 2.969E-05 | global batch size: 256 | lm loss: 3.498777E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.086 | TFLOPs: 30.42 | 7: iteration 12220/ 14324 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 0.29 | learning rate: 2.960E-05 | global batch size: 256 | lm loss: 3.498373E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.232 | TFLOPs: 30.43 | 7: iteration 12230/ 14324 | consumed samples: 3130880 | consumed tokens: 6412042240 | elapsed time per iteration (s): 0.29 | learning rate: 2.951E-05 | global batch size: 256 | lm loss: 3.499929E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.383 | TFLOPs: 30.47 | 7: iteration 12240/ 14324 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 0.29 | learning rate: 2.942E-05 | global batch size: 256 | lm loss: 3.498845E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.174 | TFLOPs: 30.46 | 7: iteration 12250/ 14324 | consumed samples: 3136000 | consumed tokens: 6422528000 | elapsed time per iteration (s): 0.30 | learning rate: 2.934E-05 | global batch size: 256 | lm loss: 3.499715E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.741 | TFLOPs: 29.78 | 7: iteration 12260/ 14324 | consumed samples: 3138560 | consumed tokens: 6427770880 | elapsed time per iteration (s): 0.29 | learning rate: 2.925E-05 | global batch size: 256 | lm loss: 3.495296E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.795 | TFLOPs: 30.48 | 7: iteration 12270/ 14324 | consumed samples: 3141120 | consumed tokens: 6433013760 | elapsed time per iteration (s): 0.29 | learning rate: 2.916E-05 | global batch size: 256 | lm loss: 3.498815E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.696 | TFLOPs: 30.48 | 7: iteration 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second: 869.922 | TFLOPs: 30.45 | 7: iteration 12310/ 14324 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.29 | learning rate: 2.881E-05 | global batch size: 256 | lm loss: 3.500381E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.229 | TFLOPs: 30.46 | 7: iteration 12320/ 14324 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.29 | learning rate: 2.873E-05 | global batch size: 256 | lm loss: 3.501214E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.198 | TFLOPs: 30.46 | 7: iteration 12330/ 14324 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.29 | learning rate: 2.864E-05 | global batch size: 256 | lm loss: 3.493504E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.167 | TFLOPs: 30.46 | 7: iteration 12340/ 14324 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 0.30 | learning rate: 2.856E-05 | global batch size: 256 | lm loss: 3.495490E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.750 | TFLOPs: 30.34 | 7: iteration 12350/ 14324 | consumed samples: 3161600 | consumed tokens: 6474956800 | elapsed time per iteration (s): 0.29 | learning rate: 2.847E-05 | global batch size: 256 | lm loss: 3.504815E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.320 | TFLOPs: 30.47 | 7: iteration 12360/ 14324 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 0.29 | learning rate: 2.839E-05 | global batch size: 256 | lm loss: 3.494192E+00 | grad norm: 0.397 | num zeros: 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3.493343E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.255 | TFLOPs: 30.47 | 7: iteration 12400/ 14324 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 0.29 | learning rate: 2.805E-05 | global batch size: 256 | lm loss: 3.498042E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.658 | TFLOPs: 30.48 | 7: iteration 12410/ 14324 | consumed samples: 3176960 | consumed tokens: 6506414080 | elapsed time per iteration (s): 0.29 | learning rate: 2.797E-05 | global batch size: 256 | lm loss: 3.494816E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.512 | TFLOPs: 30.47 | 7: iteration 12420/ 14324 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 0.29 | learning rate: 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second: 870.667 | TFLOPs: 30.48 | 7: iteration 12540/ 14324 | consumed samples: 3210240 | consumed tokens: 6574571520 | elapsed time per iteration (s): 0.29 | learning rate: 2.694E-05 | global batch size: 256 | lm loss: 3.502354E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.263 | TFLOPs: 30.47 | 7: iteration 12550/ 14324 | consumed samples: 3212800 | consumed tokens: 6579814400 | elapsed time per iteration (s): 0.29 | learning rate: 2.686E-05 | global batch size: 256 | lm loss: 3.496930E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.778 | TFLOPs: 30.45 | 7: iteration 12560/ 14324 | consumed samples: 3215360 | consumed tokens: 6585057280 | elapsed time per iteration (s): 0.29 | learning rate: 2.679E-05 | global batch size: 256 | lm loss: 3.495758E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.187 | TFLOPs: 30.46 | 7: iteration 12570/ 14324 | consumed samples: 3217920 | consumed tokens: 6590300160 | elapsed time per iteration (s): 0.29 | learning rate: 2.671E-05 | global batch size: 256 | lm loss: 3.490502E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.278 | TFLOPs: 30.47 | 7: iteration 12580/ 14324 | consumed samples: 3220480 | consumed tokens: 6595543040 | elapsed time per iteration (s): 0.29 | learning rate: 2.664E-05 | global batch size: 256 | lm loss: 3.492863E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.093 | TFLOPs: 30.46 | 7: iteration 12590/ 14324 | consumed samples: 3223040 | consumed tokens: 6600785920 | elapsed time per iteration (s): 0.29 | learning rate: 2.656E-05 | global batch size: 256 | lm loss: 3.488494E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.541 | TFLOPs: 30.48 | 7: iteration 12600/ 14324 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 0.29 | learning rate: 2.649E-05 | global batch size: 256 | lm loss: 3.492278E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 871.091 | TFLOPs: 30.49 | 7: iteration 12610/ 14324 | consumed samples: 3228160 | consumed tokens: 6611271680 | elapsed time per iteration (s): 0.33 | learning rate: 2.641E-05 | global batch size: 256 | lm loss: 3.490639E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 779.639 | TFLOPs: 27.29 | 7: iteration 12620/ 14324 | consumed samples: 3230720 | consumed tokens: 6616514560 | elapsed time per iteration (s): 0.32 | learning rate: 2.634E-05 | global batch size: 256 | lm loss: 3.487354E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.603 | TFLOPs: 28.06 | 7: iteration 12630/ 14324 | consumed samples: 3233280 | consumed tokens: 6621757440 | elapsed time per iteration (s): 0.29 | learning rate: 2.626E-05 | global batch size: 256 | lm loss: 3.496339E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.134 | TFLOPs: 30.46 | 7: iteration 12640/ 14324 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 0.31 | learning rate: 2.619E-05 | global batch size: 256 | lm loss: 3.494515E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.738 | TFLOPs: 29.36 | 7: iteration 12650/ 14324 | consumed samples: 3238400 | consumed tokens: 6632243200 | elapsed time per iteration (s): 0.30 | learning rate: 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consumed tokens: 6663700480 | elapsed time per iteration (s): 0.29 | learning rate: 2.569E-05 | global batch size: 256 | lm loss: 3.488691E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.539 | TFLOPs: 30.48 | 7: iteration 12720/ 14324 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 0.29 | learning rate: 2.562E-05 | global batch size: 256 | lm loss: 3.498137E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.774 | TFLOPs: 30.48 | 7: iteration 12730/ 14324 | consumed samples: 3258880 | consumed tokens: 6674186240 | elapsed time per iteration (s): 0.31 | learning rate: 2.555E-05 | global batch size: 256 | lm loss: 3.490927E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.326 | TFLOPs: 29.14 | 7: iteration 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second: 861.013 | TFLOPs: 30.14 | 7: iteration 12770/ 14324 | consumed samples: 3269120 | consumed tokens: 6695157760 | elapsed time per iteration (s): 0.30 | learning rate: 2.528E-05 | global batch size: 256 | lm loss: 3.483023E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.683 | TFLOPs: 30.24 | 7: iteration 12780/ 14324 | consumed samples: 3271680 | consumed tokens: 6700400640 | elapsed time per iteration (s): 0.30 | learning rate: 2.522E-05 | global batch size: 256 | lm loss: 3.495947E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.764 | TFLOPs: 30.38 | 7: iteration 12790/ 14324 | consumed samples: 3274240 | consumed tokens: 6705643520 | elapsed time per iteration (s): 0.30 | learning rate: 2.515E-05 | global batch size: 256 | lm loss: 3.495218E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.980 | TFLOPs: 30.25 | 7: iteration 12800/ 14324 | consumed samples: 3276800 | consumed tokens: 6710886400 | elapsed time per iteration (s): 0.29 | learning rate: 2.508E-05 | global batch size: 256 | lm loss: 3.486878E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.194 | TFLOPs: 30.43 | 7: iteration 12810/ 14324 | consumed samples: 3279360 | consumed tokens: 6716129280 | elapsed time per iteration (s): 0.30 | learning rate: 2.502E-05 | global batch size: 256 | lm loss: 3.491539E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.060 | TFLOPs: 30.32 | 7: iteration 12820/ 14324 | consumed samples: 3281920 | consumed tokens: 6721372160 | elapsed time per iteration (s): 0.30 | learning rate: 2.495E-05 | global batch size: 256 | lm loss: 3.491642E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.131 | TFLOPs: 30.18 | 7: iteration 12830/ 14324 | consumed samples: 3284480 | consumed tokens: 6726615040 | elapsed time per iteration (s): 0.31 | learning rate: 2.489E-05 | global batch size: 256 | lm loss: 3.494350E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.746 | TFLOPs: 29.29 | 7: iteration 12840/ 14324 | consumed samples: 3287040 | consumed tokens: 6731857920 | elapsed time per iteration (s): 0.29 | learning rate: 2.482E-05 | global batch size: 256 | lm loss: 3.490483E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.048 | TFLOPs: 30.39 | 7: iteration 12850/ 14324 | consumed samples: 3289600 | consumed tokens: 6737100800 | elapsed time per iteration (s): 0.30 | learning rate: 2.476E-05 | global batch size: 256 | lm loss: 3.492676E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.570 | TFLOPs: 29.60 | 7: iteration 12860/ 14324 | consumed samples: 3292160 | consumed tokens: 6742343680 | elapsed time per iteration (s): 0.30 | learning rate: 2.469E-05 | global batch size: 256 | lm loss: 3.492817E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.047 | TFLOPs: 30.28 | 7: iteration 12870/ 14324 | consumed samples: 3294720 | consumed tokens: 6747586560 | elapsed time per iteration (s): 0.29 | learning rate: 2.463E-05 | global batch size: 256 | lm loss: 3.494696E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.125 | TFLOPs: 30.39 | 7: iteration 12880/ 14324 | consumed samples: 3297280 | consumed tokens: 6752829440 | elapsed time per iteration (s): 0.30 | learning rate: 2.457E-05 | global batch size: 256 | lm loss: 3.489378E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.966 | TFLOPs: 30.04 | 7: iteration 12890/ 14324 | consumed samples: 3299840 | consumed tokens: 6758072320 | elapsed time per iteration (s): 0.30 | learning rate: 2.450E-05 | global batch size: 256 | lm loss: 3.491880E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.403 | TFLOPs: 30.19 | 7: iteration 12900/ 14324 | consumed samples: 3302400 | consumed tokens: 6763315200 | elapsed time per iteration (s): 0.30 | learning rate: 2.444E-05 | global batch size: 256 | lm loss: 3.488358E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.990 | TFLOPs: 29.44 | 7: iteration 12910/ 14324 | consumed samples: 3304960 | consumed tokens: 6768558080 | elapsed time per iteration (s): 0.30 | learning rate: 2.438E-05 | global batch size: 256 | lm loss: 3.491167E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.317 | TFLOPs: 30.36 | 7: iteration 12920/ 14324 | consumed samples: 3307520 | consumed tokens: 6773800960 | elapsed time per iteration (s): 0.30 | learning rate: 2.432E-05 | global batch size: 256 | lm loss: 3.486456E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.180 | TFLOPs: 29.87 | 7: iteration 12930/ 14324 | consumed samples: 3310080 | consumed tokens: 6779043840 | elapsed time per iteration (s): 0.30 | learning rate: 2.426E-05 | global batch size: 256 | lm loss: 3.492305E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.044 | TFLOPs: 29.83 | 7: iteration 12940/ 14324 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 0.30 | learning rate: 2.420E-05 | global batch size: 256 | lm loss: 3.490623E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.208 | TFLOPs: 30.15 | 7: iteration 12950/ 14324 | consumed samples: 3315200 | consumed tokens: 6789529600 | elapsed time per iteration (s): 0.30 | learning rate: 2.414E-05 | global batch size: 256 | lm loss: 3.488107E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.805 | TFLOPs: 29.50 | 7: iteration 12960/ 14324 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 0.29 | learning rate: 2.408E-05 | global batch size: 256 | lm loss: 3.493542E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.338 | TFLOPs: 30.40 | 7: iteration 12970/ 14324 | consumed samples: 3320320 | consumed tokens: 6800015360 | elapsed time per iteration (s): 0.30 | learning rate: 2.402E-05 | global batch size: 256 | lm loss: 3.484093E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.420 | TFLOPs: 30.16 | 7: iteration 12980/ 14324 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 0.29 | learning rate: 2.396E-05 | global batch size: 256 | lm loss: 3.487447E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.376 | TFLOPs: 30.43 | 7: iteration 12990/ 14324 | consumed samples: 3325440 | consumed tokens: 6810501120 | elapsed time per iteration (s): 0.30 | learning rate: 2.390E-05 | global batch size: 256 | lm loss: 3.491621E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.649 | TFLOPs: 29.50 | 7: iteration 13000/ 14324 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 0.31 | learning rate: 2.384E-05 | global batch size: 256 | lm loss: 3.488366E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.017 | TFLOPs: 29.13 | 7: ------------------------------------------------------------------------------------------------ 7: validation loss at iteration 13000 | lm loss value: 3.924659E+00 | lm loss PPL: 5.063583E+01 | 7: ------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 13000 to checkpoints_146m7b5100mdedup 0: [2023-03-16 23:55:54,901] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step13000 is begin to save! 0: [2023-03-16 23:55:54,970] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:55:55,397] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:55:55,397] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-16 23:55:55,397] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2023-03-16 23:55:55,397] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2023-03-16 23:55:55,397] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2023-03-16 23:55:55,400] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:55:55,400] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2023-03-16 23:55:55,400] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2023-03-16 23:55:55,400] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:55:55,400] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2023-03-16 23:55:55,400] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2023-03-16 23:55:55,400] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2023-03-16 23:55:55,400] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2023-03-16 23:55:55,400] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 6: [2023-03-16 23:55:55,407] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-16 23:55:55,408] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2023-03-16 23:55:55,408] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 2: [2023-03-16 23:55:55,410] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:55:55,410] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2023-03-16 23:55:55,410] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:55:55,410] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2023-03-16 23:55:55,410] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 2: [2023-03-16 23:55:55,410] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-16 23:55:55,410] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2023-03-16 23:55:55,410] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 2: [2023-03-16 23:55:55,410] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 0: [2023-03-16 23:55:55,413] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step13000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-16 23:55:55,413] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 0: successfully saved checkpoint at iteration 13000 to checkpoints_146m7b5100mdedup 7: time (ms) | save-checkpoint: 528.80 7: iteration 13010/ 14324 | consumed samples: 3330560 | consumed tokens: 6820986880 | elapsed time per iteration (s): 0.40 | learning rate: 2.379E-05 | global batch size: 256 | lm loss: 3.490924E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 639.504 | TFLOPs: 22.39 | 7: iteration 13020/ 14324 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 0.32 | learning rate: 2.373E-05 | global batch size: 256 | lm loss: 3.490013E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.889 | TFLOPs: 28.04 | 7: iteration 13030/ 14324 | consumed samples: 3335680 | consumed tokens: 6831472640 | elapsed time per iteration (s): 0.31 | learning rate: 2.367E-05 | global batch size: 256 | lm loss: 3.489463E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.923 | TFLOPs: 28.98 | 7: iteration 13040/ 14324 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 0.31 | learning rate: 2.362E-05 | global batch size: 256 | lm loss: 3.492775E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.619 | TFLOPs: 29.04 | 7: iteration 13050/ 14324 | consumed samples: 3340800 | consumed tokens: 6841958400 | elapsed time per iteration (s): 0.30 | learning rate: 2.356E-05 | global batch size: 256 | lm loss: 3.491392E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.841 | TFLOPs: 29.47 | 7: iteration 13060/ 14324 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 0.31 | learning rate: 2.351E-05 | global batch size: 256 | lm loss: 3.491829E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.068 | TFLOPs: 29.34 | 7: iteration 13070/ 14324 | consumed samples: 3345920 | consumed tokens: 6852444160 | elapsed time per iteration (s): 0.32 | learning rate: 2.345E-05 | global batch size: 256 | lm loss: 3.487303E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.313 | TFLOPs: 27.63 | 7: iteration 13080/ 14324 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 0.32 | learning rate: 2.340E-05 | global batch size: 256 | lm loss: 3.489036E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.857 | TFLOPs: 28.35 | 7: iteration 13090/ 14324 | consumed samples: 3351040 | consumed tokens: 6862929920 | elapsed time per iteration (s): 0.30 | learning rate: 2.334E-05 | global batch size: 256 | lm loss: 3.477872E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.626 | TFLOPs: 29.81 | 7: iteration 13100/ 14324 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 0.31 | learning rate: 2.329E-05 | global batch size: 256 | lm loss: 3.486401E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.408 | TFLOPs: 29.21 | 7: iteration 13110/ 14324 | consumed samples: 3356160 | consumed tokens: 6873415680 | elapsed time per iteration (s): 0.31 | learning rate: 2.324E-05 | global batch size: 256 | lm loss: 3.484397E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.065 | TFLOPs: 29.16 | 7: iteration 13120/ 14324 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 0.31 | learning rate: 2.318E-05 | global batch size: 256 | lm loss: 3.491176E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.225 | TFLOPs: 28.78 | 7: iteration 13130/ 14324 | consumed samples: 3361280 | consumed tokens: 6883901440 | elapsed time per iteration (s): 0.33 | learning rate: 2.313E-05 | global batch size: 256 | lm loss: 3.486126E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 777.925 | TFLOPs: 27.23 | 7: iteration 13140/ 14324 | consumed samples: 3363840 | consumed tokens: 6889144320 | elapsed time per iteration (s): 0.32 | learning rate: 2.308E-05 | global batch size: 256 | lm loss: 3.482900E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.866 | TFLOPs: 27.86 | 7: iteration 13150/ 14324 | consumed samples: 3366400 | consumed tokens: 6894387200 | elapsed time per iteration (s): 0.30 | learning rate: 2.303E-05 | global batch size: 256 | lm loss: 3.487134E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.979 | TFLOPs: 29.55 | 7: iteration 13160/ 14324 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 0.31 | learning rate: 2.298E-05 | global batch size: 256 | lm loss: 3.489305E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.027 | TFLOPs: 28.78 | 7: iteration 13170/ 14324 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.31 | learning rate: 2.293E-05 | global batch size: 256 | lm loss: 3.488280E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.685 | TFLOPs: 29.04 | 7: iteration 13180/ 14324 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.31 | learning rate: 2.288E-05 | global batch size: 256 | lm loss: 3.489252E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.445 | TFLOPs: 29.21 | 7: iteration 13190/ 14324 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.31 | learning rate: 2.283E-05 | global batch size: 256 | lm loss: 3.481187E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.989 | TFLOPs: 29.13 | 7: iteration 13200/ 14324 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.30 | learning rate: 2.278E-05 | global batch size: 256 | lm loss: 3.491259E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.455 | TFLOPs: 29.88 | 7: iteration 13210/ 14324 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 0.32 | learning rate: 2.273E-05 | global batch size: 256 | lm loss: 3.489873E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.181 | TFLOPs: 28.29 | 7: iteration 13220/ 14324 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 0.30 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 3.491968E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.878 | TFLOPs: 29.86 | 7: iteration 13230/ 14324 | consumed samples: 3386880 | consumed tokens: 6936330240 | elapsed time per iteration (s): 0.30 | learning rate: 2.263E-05 | global batch size: 256 | lm loss: 3.485895E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.887 | TFLOPs: 29.65 | 7: iteration 13240/ 14324 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 0.31 | learning rate: 2.258E-05 | global batch size: 256 | lm loss: 3.485566E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.933 | TFLOPs: 28.98 | 7: iteration 13250/ 14324 | consumed samples: 3392000 | consumed tokens: 6946816000 | elapsed time per iteration (s): 0.30 | learning rate: 2.254E-05 | global batch size: 256 | lm loss: 3.481604E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.395 | TFLOPs: 29.70 | 7: iteration 13260/ 14324 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.31 | learning rate: 2.249E-05 | global batch size: 256 | lm loss: 3.483733E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.733 | TFLOPs: 29.01 | 7: iteration 13270/ 14324 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.31 | learning rate: 2.244E-05 | global batch size: 256 | lm loss: 3.478380E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.959 | TFLOPs: 28.67 | 7: iteration 13280/ 14324 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.31 | learning rate: 2.240E-05 | global batch size: 256 | lm loss: 3.482867E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.130 | TFLOPs: 29.27 | 7: iteration 13290/ 14324 | consumed samples: 3402240 | consumed tokens: 6967787520 | elapsed time per iteration (s): 0.30 | learning rate: 2.235E-05 | global batch size: 256 | lm loss: 3.485794E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.580 | TFLOPs: 29.43 | 7: iteration 13300/ 14324 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 0.31 | learning rate: 2.231E-05 | global batch size: 256 | lm loss: 3.487059E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.984 | TFLOPs: 28.99 | 7: iteration 13310/ 14324 | consumed samples: 3407360 | consumed tokens: 6978273280 | elapsed time per iteration (s): 0.31 | learning rate: 2.226E-05 | global batch size: 256 | lm loss: 3.481854E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.610 | TFLOPs: 28.97 | 7: iteration 13320/ 14324 | consumed samples: 3409920 | consumed tokens: 6983516160 | elapsed time per iteration (s): 0.30 | learning rate: 2.222E-05 | global batch size: 256 | lm loss: 3.492699E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.468 | TFLOPs: 29.56 | 7: iteration 13330/ 14324 | consumed samples: 3412480 | consumed tokens: 6988759040 | elapsed time per iteration (s): 0.30 | learning rate: 2.217E-05 | global batch size: 256 | lm loss: 3.491479E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.664 | TFLOPs: 29.60 | 7: iteration 13340/ 14324 | consumed samples: 3415040 | consumed tokens: 6994001920 | elapsed time per iteration (s): 0.30 | learning rate: 2.213E-05 | global batch size: 256 | lm loss: 3.494589E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.244 | TFLOPs: 29.62 | 7: iteration 13350/ 14324 | consumed samples: 3417600 | consumed tokens: 6999244800 | elapsed time per iteration (s): 0.30 | learning rate: 2.209E-05 | global batch size: 256 | lm loss: 3.480077E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.691 | TFLOPs: 30.10 | 7: iteration 13360/ 14324 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 0.31 | learning rate: 2.205E-05 | global batch size: 256 | lm loss: 3.483110E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.928 | TFLOPs: 28.88 | 7: iteration 13370/ 14324 | consumed samples: 3422720 | consumed tokens: 7009730560 | elapsed time per iteration (s): 0.30 | learning rate: 2.200E-05 | global batch size: 256 | lm loss: 3.482984E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.334 | TFLOPs: 29.56 | 7: iteration 13380/ 14324 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 0.31 | learning rate: 2.196E-05 | global batch size: 256 | lm loss: 3.488672E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.303 | TFLOPs: 29.38 | 7: iteration 13390/ 14324 | consumed samples: 3427840 | consumed tokens: 7020216320 | elapsed time per iteration (s): 0.30 | learning rate: 2.192E-05 | global batch size: 256 | lm loss: 3.475808E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.711 | TFLOPs: 29.82 | 7: iteration 13400/ 14324 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 0.31 | learning rate: 2.188E-05 | global batch size: 256 | lm loss: 3.491632E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.435 | TFLOPs: 28.86 | 7: iteration 13410/ 14324 | consumed samples: 3432960 | consumed tokens: 7030702080 | elapsed time per iteration (s): 0.30 | learning rate: 2.184E-05 | global batch size: 256 | lm loss: 3.485436E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.039 | TFLOPs: 29.65 | 7: iteration 13420/ 14324 | consumed samples: 3435520 | consumed tokens: 7035944960 | elapsed time per iteration (s): 0.30 | learning rate: 2.180E-05 | global batch size: 256 | lm loss: 3.482873E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.218 | TFLOPs: 29.52 | 7: iteration 13430/ 14324 | consumed samples: 3438080 | consumed tokens: 7041187840 | elapsed time per iteration (s): 0.31 | learning rate: 2.176E-05 | global batch size: 256 | lm loss: 3.486940E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.556 | TFLOPs: 28.73 | 7: iteration 13440/ 14324 | consumed samples: 3440640 | consumed tokens: 7046430720 | elapsed time per iteration (s): 0.30 | learning rate: 2.172E-05 | global batch size: 256 | lm loss: 3.480726E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.079 | TFLOPs: 29.48 | 7: iteration 13450/ 14324 | consumed samples: 3443200 | consumed tokens: 7051673600 | elapsed time per iteration (s): 0.30 | learning rate: 2.168E-05 | global batch size: 256 | lm loss: 3.488425E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.094 | TFLOPs: 29.76 | 7: iteration 13460/ 14324 | consumed samples: 3445760 | consumed tokens: 7056916480 | elapsed time per iteration (s): 0.30 | learning rate: 2.164E-05 | global batch size: 256 | lm loss: 3.487594E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.540 | TFLOPs: 29.53 | 7: iteration 13470/ 14324 | consumed samples: 3448320 | consumed tokens: 7062159360 | elapsed time per iteration (s): 0.30 | learning rate: 2.161E-05 | global batch size: 256 | lm loss: 3.492223E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.402 | TFLOPs: 30.16 | 7: iteration 13480/ 14324 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 0.30 | learning rate: 2.157E-05 | global batch size: 256 | lm loss: 3.487868E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.531 | TFLOPs: 30.05 | 7: iteration 13490/ 14324 | consumed samples: 3453440 | consumed tokens: 7072645120 | elapsed time per iteration (s): 0.30 | learning rate: 2.153E-05 | global batch size: 256 | lm loss: 3.488511E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.135 | TFLOPs: 29.59 | 7: iteration 13500/ 14324 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 0.31 | learning rate: 2.150E-05 | global batch size: 256 | lm loss: 3.477548E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.790 | TFLOPs: 28.94 | 7: iteration 13510/ 14324 | consumed samples: 3458560 | consumed tokens: 7083130880 | elapsed time per iteration (s): 0.30 | learning rate: 2.146E-05 | global batch size: 256 | lm loss: 3.493630E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.854 | TFLOPs: 30.14 | 7: iteration 13520/ 14324 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 0.30 | learning rate: 2.142E-05 | global batch size: 256 | lm loss: 3.481626E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped 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| elapsed time per iteration (s): 0.30 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 3.484659E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.023 | TFLOPs: 29.76 | 7: iteration 13650/ 14324 | consumed samples: 3494400 | consumed tokens: 7156531200 | elapsed time per iteration (s): 0.29 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 3.481680E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.953 | TFLOPs: 30.49 | 7: iteration 13660/ 14324 | consumed samples: 3496960 | consumed tokens: 7161774080 | elapsed time per iteration (s): 0.30 | learning rate: 2.097E-05 | global batch size: 256 | lm loss: 3.485530E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.378 | TFLOPs: 29.84 | 7: iteration 13670/ 14324 | consumed 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| samples per second: 854.769 | TFLOPs: 29.92 | 7: iteration 13730/ 14324 | consumed samples: 3514880 | consumed tokens: 7198474240 | elapsed time per iteration (s): 0.29 | learning rate: 2.078E-05 | global batch size: 256 | lm loss: 3.474902E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.300 | TFLOPs: 30.47 | 7: iteration 13740/ 14324 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 0.30 | learning rate: 2.075E-05 | global batch size: 256 | lm loss: 3.478018E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.495 | TFLOPs: 30.19 | 7: iteration 13750/ 14324 | consumed samples: 3520000 | consumed tokens: 7208960000 | elapsed time per iteration (s): 0.30 | learning rate: 2.073E-05 | global batch size: 256 | lm loss: 3.478218E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped 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0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.969 | TFLOPs: 30.18 | 7: iteration 13790/ 14324 | consumed samples: 3530240 | consumed tokens: 7229931520 | elapsed time per iteration (s): 0.30 | learning rate: 2.063E-05 | global batch size: 256 | lm loss: 3.474767E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.669 | TFLOPs: 29.99 | 7: iteration 13800/ 14324 | consumed samples: 3532800 | consumed tokens: 7235174400 | elapsed time per iteration (s): 0.30 | learning rate: 2.061E-05 | global batch size: 256 | lm loss: 3.485395E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.863 | TFLOPs: 30.17 | 7: iteration 13810/ 14324 | consumed samples: 3535360 | consumed tokens: 7240417280 | elapsed time per iteration (s): 0.31 | learning rate: 2.058E-05 | global batch size: 256 | lm loss: 3.487680E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.354 | TFLOPs: 28.61 | 7: iteration 13820/ 14324 | consumed samples: 3537920 | consumed tokens: 7245660160 | elapsed time per iteration (s): 0.29 | learning rate: 2.056E-05 | global batch size: 256 | lm loss: 3.488129E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.349 | TFLOPs: 30.47 | 7: iteration 13830/ 14324 | consumed samples: 3540480 | consumed tokens: 7250903040 | elapsed time per iteration (s): 0.30 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 3.479894E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.927 | TFLOPs: 30.35 | 7: iteration 13840/ 14324 | consumed samples: 3543040 | consumed tokens: 7256145920 | elapsed time per iteration (s): 0.30 | learning rate: 2.052E-05 | global batch size: 256 | lm loss: 3.481142E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.918 | TFLOPs: 30.28 | 7: iteration 13850/ 14324 | consumed samples: 3545600 | consumed tokens: 7261388800 | elapsed time per iteration (s): 0.30 | learning rate: 2.050E-05 | global batch size: 256 | lm loss: 3.476619E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.462 | TFLOPs: 30.33 | 7: iteration 13860/ 14324 | consumed samples: 3548160 | consumed tokens: 7266631680 | elapsed time per iteration (s): 0.30 | learning rate: 2.048E-05 | global batch size: 256 | lm loss: 3.480197E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.538 | TFLOPs: 30.09 | 7: iteration 13870/ 14324 | consumed samples: 3550720 | consumed tokens: 7271874560 | elapsed time per iteration (s): 0.30 | learning rate: 2.046E-05 | global batch size: 256 | lm loss: 3.483045E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.176 | TFLOPs: 30.36 | 7: iteration 13880/ 14324 | consumed samples: 3553280 | consumed tokens: 7277117440 | elapsed time per iteration (s): 0.30 | learning rate: 2.044E-05 | global batch size: 256 | lm loss: 3.481794E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.301 | TFLOPs: 30.22 | 7: iteration 13890/ 14324 | consumed samples: 3555840 | consumed tokens: 7282360320 | elapsed time per iteration (s): 0.30 | learning rate: 2.042E-05 | global batch size: 256 | lm loss: 3.478368E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.954 | TFLOPs: 30.10 | 7: iteration 13900/ 14324 | consumed samples: 3558400 | consumed tokens: 7287603200 | elapsed time per iteration (s): 0.30 | learning rate: 2.040E-05 | global batch size: 256 | lm loss: 3.481183E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 867.509 | TFLOPs: 30.37 | 7: iteration 13910/ 14324 | consumed samples: 3560960 | consumed tokens: 7292846080 | elapsed time per iteration (s): 0.29 | learning rate: 2.038E-05 | global batch size: 256 | lm loss: 3.481855E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.250 | TFLOPs: 30.47 | 7: iteration 13920/ 14324 | consumed samples: 3563520 | consumed tokens: 7298088960 | elapsed time per iteration (s): 0.30 | learning rate: 2.036E-05 | global batch size: 256 | lm loss: 3.482761E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.460 | TFLOPs: 29.46 | 7: iteration 13930/ 14324 | consumed samples: 3566080 | consumed tokens: 7303331840 | elapsed time per iteration (s): 0.30 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 3.479539E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.942 | TFLOPs: 30.07 | 7: iteration 13940/ 14324 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 0.30 | learning rate: 2.033E-05 | global batch size: 256 | lm loss: 3.485496E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.051 | TFLOPs: 30.32 | 7: iteration 13950/ 14324 | consumed samples: 3571200 | consumed tokens: 7313817600 | elapsed time per iteration (s): 0.29 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 3.479675E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.703 | TFLOPs: 30.41 | 7: iteration 13960/ 14324 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 0.29 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 3.470926E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.346 | TFLOPs: 30.43 | 7: iteration 13970/ 14324 | consumed samples: 3576320 | consumed tokens: 7324303360 | elapsed time per iteration (s): 0.29 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 3.486145E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.011 | TFLOPs: 30.46 | 7: iteration 13980/ 14324 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.29 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 3.482140E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 870.324 | TFLOPs: 30.47 | 7: iteration 13990/ 14324 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.29 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 3.478101E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 869.197 | TFLOPs: 30.43 | 0: [2023-03-17 00:00:58,427] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[2.0232010554965626e-05, 2.0232010554965626e-05, 2.0232010554965626e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 14000/ 14324 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.31 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 3.475558E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.961 | TFLOPs: 29.30 | 0: steps: 14000 loss: 3.4799 iter time (s): 0.297 samples/sec: 860.817 7: ------------------------------------------------------------------------------------------------ 7: validation loss at iteration 14000 | lm loss value: 3.874221E+00 | lm loss PPL: 4.814516E+01 | 7: ------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 14000 to checkpoints_146m7b5100mdedup 0: [2023-03-17 00:00:58,562] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14000 is begin to save! 0: [2023-03-17 00:00:58,567] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step14000/layer_01-model_00-model_states.pt... 0: [2023-03-17 00:00:58,662] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14000/layer_01-model_00-model_states.pt. 0: [2023-03-17 00:00:58,663] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:00:58,952] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: [2023-03-17 00:00:58,952] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2023-03-17 00:00:58,952] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2023-03-17 00:00:58,952] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: [2023-03-17 00:00:58,952] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: [2023-03-17 00:00:58,966] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] 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checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2023-03-17 00:00:58,986] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2023-03-17 00:00:58,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2023-03-17 00:00:58,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 6: [2023-03-17 00:00:58,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 6: [2023-03-17 00:00:58,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 6: [2023-03-17 00:00:58,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2023-03-17 00:00:58,986] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-17 00:00:58,987] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 2: [2023-03-17 00:00:58,987] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 2: [2023-03-17 00:00:58,987] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 2: [2023-03-17 00:00:58,987] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 2: [2023-03-17 00:00:58,987] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2023-03-17 00:00:58,987] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-17 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checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:00:58,993] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2023-03-17 00:00:58,993] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2023-03-17 00:00:58,993] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2023-03-17 00:00:58,993] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2023-03-17 00:00:58,993] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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7: time (ms) | save-checkpoint: 453.20 7: iteration 14010/ 14324 | consumed samples: 3586560 | consumed tokens: 7345274880 | elapsed time per iteration (s): 0.35 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 3.476850E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 721.899 | TFLOPs: 25.27 | 7: iteration 14020/ 14324 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 0.29 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 3.478370E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.868 | TFLOPs: 30.42 | 7: iteration 14030/ 14324 | consumed samples: 3591680 | consumed tokens: 7355760640 | elapsed time per iteration (s): 0.29 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 3.481263E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.639 | TFLOPs: 30.41 | 7: iteration 14040/ 14324 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 0.29 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 3.482639E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.397 | TFLOPs: 30.40 | 7: iteration 14050/ 14324 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.30 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 3.477578E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.629 | TFLOPs: 29.99 | 7: iteration 14060/ 14324 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.29 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 3.482580E+00 | grad norm: 0.420 | num 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loss: 3.473143E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.674 | TFLOPs: 30.41 | 7: iteration 14100/ 14324 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.30 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 3.478775E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.473 | TFLOPs: 30.19 | 7: iteration 14110/ 14324 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.30 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 3.476153E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.350 | TFLOPs: 30.33 | 7: iteration 14120/ 14324 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.30 | learning rate: 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3.479487E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.467 | TFLOPs: 30.19 | 0: [after training is done] datetime: 2023-03-17 00:02:35 0: saving checkpoint at iteration 14324 to checkpoints_146m7b5100mdedup 7: ----------------------------------------------------------------------------------------------------------------- 7: validation loss at the end of training for val data | lm loss value: 3.907278E+00 | lm loss PPL: 4.976329E+01 | 7: ----------------------------------------------------------------------------------------------------------------- 0: [2023-03-17 00:02:35,212] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14324 is begin to save! 0: [2023-03-17 00:02:35,215] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m7b5100mdedup/global_step14324/layer_01-model_00-model_states.pt... 0: [2023-03-17 00:02:35,306] [INFO] 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checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:02:35,598] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-17 00:02:35,598] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 2: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 5: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 5: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 5: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 2: [2023-03-17 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checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 2: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 1: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2023-03-17 00:02:35,604] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 0: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:02:35,604] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 1: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 0: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:02:35,604] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2023-03-17 00:02:35,605] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 2: [2023-03-17 00:02:35,604] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:02:35,605] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2023-03-17 00:02:35,605] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2023-03-17 00:02:35,605] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2023-03-17 00:02:35,605] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 2: [2023-03-17 00:02:35,605] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 7: [2023-03-17 00:02:35,605] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2023-03-17 00:02:35,605] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 4: [2023-03-17 00:02:35,605] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2023-03-17 00:02:35,605] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2023-03-17 00:02:35,606] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 7: [2023-03-17 00:02:35,606] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 4: [2023-03-17 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-17 00:02:35,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2023-03-17 00:02:35,607] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 0: [2023-03-17 00:02:35,608] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2023-03-17 00:02:35,608] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2023-03-17 00:02:35,608] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 3: [2023-03-17 00:02:35,610] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2023-03-17 00:02:35,610] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2023-03-17 00:02:35,610] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 0: [2023-03-17 00:02:35,626] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m7b5100mdedup/global_step14324/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-17 00:02:35,626] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14324 is ready now! 0: successfully saved checkpoint at iteration 14324 to checkpoints_146m7b5100mdedup END 3326482: Fri 17 Mar 2023 12:02:47 AM EET