Model parameters: d_model 1024 ffw_size 4096 kv_size 64 n_heads 16 n_layers 18 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 18 --hidden-size 1024 --num-attention-heads 16 --kv-channels 64 --ffn-hidden-size 4096 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 2_884_878 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-280moscar --bf16 --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 2_884_878 --lr-warmup-samples 28_849 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_280moscar --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_280moscar --load checkpoints_280moscar --data-path /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2085609.json --zero-stage 0 START 2085609: Tue Nov 29 16:50:08 EET 2022 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 43.0c 93.0W 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 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 43.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 42.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 45.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 42.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 42.0c 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 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 37.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 42.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 48.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 38.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= 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 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 35.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 40.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 41.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 43.0c 80.0W 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 ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 43.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 44.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 38.0c 89.0W 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 nid005072 (0/8), master nid005072 port 9999, GPUs 8, CUDA: True 5: Launching on nid005077 (5/8), master nid005072 port 9999, GPUs 8, CUDA: True 7: Launching on nid005079 (7/8), master nid005072 port 9999, GPUs 8, CUDA: True 2: Launching on nid005074 (2/8), master nid005072 port 9999, GPUs 8, CUDA: True 4: Launching on nid005076 (4/8), master nid005072 port 9999, GPUs 8, CUDA: True 1: Launching on nid005073 (1/8), master nid005072 port 9999, GPUs 8, CUDA: True 3: Launching on nid005075 (3/8), master nid005072 port 9999, GPUs 8, CUDA: True 6: Launching on nid005078 (6/8), master nid005072 port 9999, GPUs 8, CUDA: True 0: using world size: 64, data-parallel-size: 64, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... False 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 64 0: data_path ....................................... ['/scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document'] 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/2085609.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 1000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 4096 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 1024 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-280moscar 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_280moscar 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 ................................ 2884878 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 28849 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 4 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 16 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 18 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: retriever_report_topk_accuracies ................ [] 0: retriever_score_scaling ......................... False 0: retriever_seq_length ............................ 256 0: reweight_loss_based_on_position_frequency ....... False 0: sample_rate ..................................... 1.0 0: save ............................................ checkpoints_280moscar 0: save_interval ................................... 1000 0: scatter_gather_tensors_in_pipeline .............. True 0: scattered_embeddings ............................ False 0: seed ............................................ 1234 0: seq_length ...................................... 2048 0: sgd_momentum .................................... 0.9 0: short_seq_prob .................................. 0.1 0: skip_train_iteration_range ...................... None 0: split ........................................... 949,50,1 0: split_transformers .............................. False 0: sync_tp_duplicated_parameters ................... False 0: synchronize_each_layer .......................... False 0: tensor_model_parallel_size ...................... 1 0: tensorboard_dir ................................. tensorboard_280moscar 0: tensorboard_log_interval ........................ 1 0: tensorboard_queue_size .......................... 5 0: test_weighted_split_names ....................... None 0: test_weighted_split_paths ....................... None 0: test_weighted_split_paths_path .................. None 0: test_weighted_split_splits ...................... None 0: test_weighted_split_weights ..................... None 0: tile_factor ..................................... 1 0: titles_data_path ................................ None 0: tokenizer_name_or_path .......................... None 0: tokenizer_type .................................. GPT2BPETokenizer 0: train_iters ..................................... None 0: train_samples ................................... 2884878 0: train_tokens .................................... None 0: train_weighted_split_paths ...................... None 0: train_weighted_split_paths_path ................. None 0: universal_checkpoint ............................ False 0: use_bnb_optimizer ............................... False 0: use_checkpoint_lr_scheduler ..................... False 0: use_contiguous_buffers_in_ddp ................... True 0: use_cpu_initialization .......................... None 0: use_one_sent_docs ............................... False 0: use_pin_memory .................................. False 0: valid_num_workers ............................... 2 0: valid_weighted_split_names ...................... None 0: valid_weighted_split_paths ...................... None 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... None 0: valid_weighted_split_weights .................... None 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 64 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2022-11-29 16:50:29,405] [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: 0.077 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.o scaled_upper_triang_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: [1/1] c++ scaled_masked_softmax_hip.o scaled_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: ninja: no work to do. 0: >>> done with compiling and loading fused kernels. Compilation time: 13.854 seconds 0: time to initialize megatron (seconds): 70.355 0: [after megatron is initialized] datetime: 2022-11-29 16:50:46 0: building GPT model ... 0: [2022-11-29 16:50:46,410] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-29 16:50:46,410] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.0 GB Max_CA 0 GB 0: [2022-11-29 16:50:46,410] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.34 GB, percent = 5.8% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63} 0: [2022-11-29 16:50:48,423] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=25 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: undo 0: 22: MixedFusedLayerNorm 0: 23: EmbeddingPipe 0: 24: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-29 16:50:48,559] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-29 16:50:48,559] [INFO] [utils.py:828:see_memory_usage] MA 0.53 GB Max_MA 0.53 GB CA 0.57 GB Max_CA 1 GB 0: [2022-11-29 16:50:48,559] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.36 GB, percent = 5.8% 0: setting training iterations to 11269 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-29 16:50:48,561] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-29 16:51:00,210] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-29 16:51:00,211] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-29 16:51:00,211] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-29 16:51:00,217] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-29 16:51:00,217] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-29 16:51:00,260] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-29 16:51:00,261] [INFO] [utils.py:828:see_memory_usage] MA 0.52 GB Max_MA 0.53 GB CA 0.57 GB Max_CA 1 GB 0: [2022-11-29 16:51:00,261] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.04 GB, percent = 6.0% 1: ninja: no work to do. 1: Time to load utils op: 0.16243410110473633 seconds 3: Time to load utils op: 0.2097475528717041 seconds 7: Time to load utils op: 0.2096853256225586 seconds 1: Time 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op: 0.00044536590576171875 seconds 0: Time to load utils op: 0.0004513263702392578 seconds 0: Time to load utils op: 0.00046944618225097656 seconds 0: Time to load utils op: 0.00043964385986328125 secondsTime to load utils op: 0.00047206878662109375 secondsTime to load utils op: 0.00044846534729003906 seconds 0: 0: 0: Time to load utils op: 0.0005216598510742188 seconds 6: Time to load utils op: 0.0008327960968017578 seconds 2: Time to load utils op: 0.001188516616821289 secondsTime to load utils op: 0.0011987686157226562 seconds 2: 6: Time to load utils op: 0.0011780261993408203 seconds 6: Time to load utils op: 0.00121307373046875 seconds 6: Time to load utils op: 0.001230478286743164 seconds 6: Time to load utils op: 0.0012059211730957031 seconds 6: Time to load utils op: 0.0012998580932617188 seconds 6: Time to load utils op: 0.0011780261993408203 seconds 6: Time to load utils op: 0.001291513442993164 seconds 2: Time to load utils op: 0.0014619827270507812 seconds 2: Time to load 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load utils op: 0.0004985332489013672 seconds 4: Time to load utils op: 0.0005288124084472656 secondsTime to load utils op: 0.0005245208740234375 seconds 4: 0: [2022-11-29 16:51:00,557] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2022-11-29 16:51:00,558] [INFO] [utils.py:828:see_memory_usage] MA 1.14 GB Max_MA 1.14 GB CA 1.48 GB Max_CA 1 GB 0: [2022-11-29 16:51:00,558] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.17 GB, percent = 6.0% 0: [2022-11-29 16:51:00,595] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-29 16:51:00,595] [INFO] [utils.py:828:see_memory_usage] MA 1.14 GB Max_MA 1.14 GB CA 1.48 GB Max_CA 1 GB 0: [2022-11-29 16:51:00,595] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.18 GB, percent = 6.0% 0: [2022-11-29 16:51:00,630] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-29 16:51:00,631] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-29 16:51:00,631] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.18 GB, percent = 6.0% 0: [2022-11-29 16:51:00,664] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-29 16:51:00,664] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-29 16:51:00,664] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.18 GB, percent = 6.0% 0: [2022-11-29 16:51:00,699] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-29 16:51:00,700] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-29 16:51:00,700] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.18 GB, percent = 6.0% 0: [2022-11-29 16:51:00,732] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-29 16:51:00,732] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-29 16:51:00,733] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.18 GB, percent = 6.0% 0: [2022-11-29 16:51:00,770] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-29 16:51:00,770] [INFO] [utils.py:828:see_memory_usage] MA 1.62 GB Max_MA 1.62 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-29 16:51:00,770] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.18 GB, percent = 6.0% 0: [2022-11-29 16:51:00,802] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-29 16:51:00,803] [INFO] [utils.py:828:see_memory_usage] MA 1.62 GB Max_MA 1.62 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-29 16:51:00,803] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.18 GB, percent = 6.0% 0: [2022-11-29 16:51:00,803] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-29 16:51:00,803] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-29 16:51:00,803] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-29 16:51:00,803] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] activation_checkpointing_config { 0: "partition_activations": false, 0: "contiguous_memory_optimization": false, 0: "cpu_checkpointing": false, 0: "number_checkpoints": null, 0: "synchronize_checkpoint_boundary": false, 0: "profile": false 0: } 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] autotuning_config ............ { 0: "enabled": false, 0: "start_step": null, 0: "end_step": null, 0: "metric_path": null, 0: "arg_mappings": null, 0: "metric": "throughput", 0: "model_info": null, 0: "results_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_results", 0: "exps_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_exps", 0: "overwrite": true, 0: "fast": true, 0: "start_profile_step": 3, 0: "end_profile_step": 5, 0: "tuner_type": "gridsearch", 0: "tuner_early_stopping": 5, 0: "tuner_num_trials": 50, 0: "model_info_path": null, 0: "mp_size": 1, 0: "max_train_batch_size": null, 0: "min_train_batch_size": 1, 0: "max_train_micro_batch_size_per_gpu": 1.024000e+03, 0: "min_train_micro_batch_size_per_gpu": 1, 0: "num_tuning_micro_batch_sizes": 3 0: } 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_pa 0: rameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-29 16:51:00,804] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] flops_profiler_config ........ { 0: "enabled": false, 0: "profile_step": 1, 0: "module_depth": -1, 0: "top_modules": 1, 0: "detailed": true, 0: "output_file": null 0: } 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] nebula_config ................ { 0: "enabled": false, 0: "persistent_storage_path": null, 0: "persistent_time_interval": 100, 0: "num_of_version_in_retention": 2, 0: "enable_nebula_load": true, 0: "load_path": null 0: } 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-29 16:51:00,805] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-29 16:51:00,806] [INFO] [config.py:1011:print] zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False 0: [2022-11-29 16:51:00,806] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-29 16:51:00,806] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-29 16:51:00,806] [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: 0.0004215240478515625 seconds 0: [2022-11-29 16:51:00,806] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-29 16:51:00,817] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=25 [0, 25) STAGE_PARAMS=280342528 (280.343M) TOTAL_PARAMS=280342528 (280.343M) UNIQUE_PARAMS=280342528 (280.343M) 0: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/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_280moscar 0: will not load any checkpoints and will start from random 3: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,823] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,825] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:51:00,824] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:51:00,825] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:51:00,825] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280moscar/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: 6.41 0: estimated model parameters: 0.280342528 0: estimated model parameters without embeddings: 0.22673408 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-29 16:51:01 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 2884878 0: validation: 3072 0: test: 256 0: > building train, validation, and test datasets for GPT ... 0: > building dataset index ... 0: reading sizes... 0: reading pointers... 0: reading document index... 0: creating numpy buffer of mmap... 0: creating memory view of numpy buffer... 0: > finished creating indexed dataset in 0.017917 seconds 0: number of documents: 431992659 0: > dataset split: 0: train: 0: document indices in [0, 409961033) total of 409961033 documents 0: validation: 0: document indices in [409961033, 431560666) total of 21599633 documents 0: test: 0: document indices in [431560666, 431992659) total of 431993 documents 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 30.499815 0: using: 0: number of documents: 409961033 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 262636457 0: > elasped time to build and save sample-idx mapping (seconds): 7.767112 0: > building shuffle index with split [0, 262636457) and [262636457, 262636457) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 16.050910 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_2884878ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_2884878ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_2884878ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.990 seconds 0: total number of samples: 262636458 0: total number of epochs: 1 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 1.289695 0: using: 0: number of documents: 21599633 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 13852049 0: > elasped time to build and save sample-idx mapping (seconds): 0.416417 0: > building shuffle index with split [0, 13852049) and [13852049, 13852049) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.503516 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_3072ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_3072ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_3072ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.057 seconds 0: total number of samples: 13852050 0: total number of epochs: 1 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 0.014962 0: using: 0: number of documents: 431993 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 276851 0: > elasped time to build and save sample-idx mapping (seconds): 0.006079 0: > building shuffle index with split [0, 276851) and [276851, 276851) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.007364 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_test_indexmap_256ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_test_indexmap_256ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_test_indexmap_256ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.013 seconds 0: total number of samples: 276852 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-29 16:52:25 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: 14644.24 | train/valid/test-data-iterators-setup: 84768.25 0: [000-000] 0.2803B / 0.2267B 0: [before the start of training step] datetime: 2022-11-29 16:52:25 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 3766.3056640625 | max allocated: 34106.49267578125 | reserved: 35064.0 | max reserved: 35064.0 7: iteration 10/ 11269 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.77 | learning rate: 1.775E-05 | global batch size: 256 | lm loss: 1.032044E+01 | grad norm: 2.971 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 144.271 | TFLOPs: 9.44 | 7: iteration 20/ 11269 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.49 | learning rate: 3.550E-05 | global batch size: 256 | lm loss: 9.399584E+00 | grad norm: 1.808 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.090 | TFLOPs: 34.41 | 7: iteration 30/ 11269 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.53 | learning rate: 5.324E-05 | global batch size: 256 | lm loss: 8.949076E+00 | grad norm: 3.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 483.637 | TFLOPs: 31.63 | 7: iteration 40/ 11269 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.50 | learning rate: 7.099E-05 | global batch size: 256 | lm loss: 8.363860E+00 | grad norm: 1.560 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 509.601 | TFLOPs: 33.33 | 7: iteration 50/ 11269 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.50 | learning rate: 8.874E-05 | global batch size: 256 | lm loss: 7.831068E+00 | grad norm: 1.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.821 | TFLOPs: 33.60 | 7: iteration 60/ 11269 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.49 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 7.441724E+00 | grad norm: 0.727 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.369 | TFLOPs: 34.10 | 7: iteration 70/ 11269 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.50 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 7.219479E+00 | grad norm: 1.114 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.996 | TFLOPs: 33.62 | 7: iteration 80/ 11269 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.51 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 7.107240E+00 | grad norm: 1.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 498.192 | TFLOPs: 32.58 | 7: iteration 90/ 11269 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.50 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 6.895432E+00 | grad norm: 0.950 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.791 | TFLOPs: 33.47 | 7: iteration 100/ 11269 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.51 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 6.768747E+00 | grad norm: 1.103 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 500.935 | TFLOPs: 32.76 | 7: iteration 110/ 11269 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.48 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 6.651917E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.198 | TFLOPs: 34.54 | 7: iteration 120/ 11269 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.575565E+00 | grad norm: 0.845 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.071 | TFLOPs: 33.36 | 7: iteration 130/ 11269 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.459740E+00 | grad norm: 0.770 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.974 | TFLOPs: 33.48 | 7: iteration 140/ 11269 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.51 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.394947E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 497.315 | TFLOPs: 32.52 | 7: iteration 150/ 11269 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.306021E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.852 | TFLOPs: 33.87 | 7: iteration 160/ 11269 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.274498E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.033 | TFLOPs: 33.55 | 7: iteration 170/ 11269 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.222653E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 508.131 | TFLOPs: 33.23 | 7: iteration 180/ 11269 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.51 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.156484E+00 | grad norm: 0.668 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.270 | TFLOPs: 33.04 | 7: iteration 190/ 11269 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.117565E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.922 | TFLOPs: 33.74 | 7: iteration 200/ 11269 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.101613E+00 | grad norm: 0.885 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.488 | TFLOPs: 33.58 | 7: iteration 210/ 11269 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.51 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.034433E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 506.265 | TFLOPs: 33.11 | 7: iteration 220/ 11269 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.009595E+00 | grad norm: 0.808 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.014 | TFLOPs: 33.35 | 7: iteration 230/ 11269 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.52 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.946698E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 496.184 | TFLOPs: 32.45 | 7: iteration 240/ 11269 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.895729E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.588 | TFLOPs: 34.05 | 7: iteration 250/ 11269 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.899978E+00 | grad norm: 1.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.193 | TFLOPs: 34.02 | 7: iteration 260/ 11269 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.874543E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.624 | TFLOPs: 34.44 | 7: iteration 270/ 11269 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.821027E+00 | grad norm: 0.674 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.400 | TFLOPs: 34.36 | 7: iteration 280/ 11269 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.794529E+00 | grad norm: 0.718 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.614 | TFLOPs: 34.44 | 7: iteration 290/ 11269 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.50 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.761044E+00 | grad norm: 0.785 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.577 | TFLOPs: 33.52 | 7: iteration 300/ 11269 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.709947E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.170 | TFLOPs: 34.15 | 7: iteration 310/ 11269 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.660912E+00 | grad norm: 0.913 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.259 | TFLOPs: 34.35 | 7: iteration 320/ 11269 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.50 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.639745E+00 | grad norm: 0.832 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.997 | TFLOPs: 33.68 | 7: iteration 330/ 11269 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.50 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.623890E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.007 | TFLOPs: 33.35 | 7: iteration 340/ 11269 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.48 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.567944E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.008 | TFLOPs: 34.60 | 7: iteration 350/ 11269 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.50 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.525057E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.722 | TFLOPs: 33.66 | 7: iteration 360/ 11269 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.49 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.533379E+00 | grad norm: 0.697 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.012 | TFLOPs: 34.27 | 7: iteration 370/ 11269 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.49 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.492405E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.398 | TFLOPs: 34.36 | 7: iteration 380/ 11269 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.50 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.422787E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.850 | TFLOPs: 33.41 | 7: iteration 390/ 11269 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.50 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.415775E+00 | grad norm: 0.709 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 508.257 | TFLOPs: 33.24 | 7: iteration 400/ 11269 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.50 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.365007E+00 | grad norm: 1.014 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.074 | TFLOPs: 33.49 | 7: iteration 410/ 11269 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.50 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.319305E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.138 | TFLOPs: 33.36 | 7: iteration 420/ 11269 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.49 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.305619E+00 | grad norm: 0.734 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.413 | TFLOPs: 34.30 | 7: iteration 430/ 11269 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.49 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.270193E+00 | grad norm: 0.918 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.001 | TFLOPs: 34.07 | 7: iteration 440/ 11269 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.50 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.244946E+00 | grad norm: 0.681 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.140 | TFLOPs: 33.82 | 7: iteration 450/ 11269 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.53 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.196004E+00 | grad norm: 0.735 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 487.426 | TFLOPs: 31.88 | 7: iteration 460/ 11269 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.50 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.211095E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 509.094 | TFLOPs: 33.29 | 7: iteration 470/ 11269 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.49 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.147875E+00 | grad norm: 0.767 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.369 | TFLOPs: 34.29 | 7: iteration 480/ 11269 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.50 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.170478E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.914 | TFLOPs: 33.54 | 7: iteration 490/ 11269 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.49 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.113095E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.053 | TFLOPs: 34.01 | 7: iteration 500/ 11269 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.50 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.086443E+00 | grad norm: 0.863 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.934 | TFLOPs: 33.81 | 7: iteration 510/ 11269 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.48 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.055627E+00 | grad norm: 0.953 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.951 | TFLOPs: 34.53 | 7: iteration 520/ 11269 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.50 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.003594E+00 | grad norm: 0.661 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.825 | TFLOPs: 33.41 | 7: iteration 530/ 11269 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.50 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.979019E+00 | grad norm: 0.820 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.024 | TFLOPs: 33.36 | 7: iteration 540/ 11269 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.49 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.979314E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.574 | TFLOPs: 34.24 | 7: iteration 550/ 11269 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.49 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.937137E+00 | grad norm: 0.861 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.792 | TFLOPs: 34.06 | 7: iteration 560/ 11269 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.49 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.910243E+00 | grad norm: 0.786 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.209 | TFLOPs: 34.35 | 7: iteration 570/ 11269 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.49 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.883640E+00 | grad norm: 0.754 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.476 | TFLOPs: 33.84 | 7: iteration 580/ 11269 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.49 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.842192E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.132 | TFLOPs: 34.08 | 7: iteration 590/ 11269 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.51 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.829807E+00 | grad norm: 1.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 506.679 | TFLOPs: 33.14 | 7: iteration 600/ 11269 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.51 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.773558E+00 | grad norm: 1.030 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 498.385 | TFLOPs: 32.59 | 7: iteration 610/ 11269 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.48 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.745735E+00 | grad norm: 1.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.320 | TFLOPs: 34.55 | 7: iteration 620/ 11269 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.51 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.707542E+00 | grad norm: 0.823 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 497.200 | TFLOPs: 32.52 | 7: iteration 630/ 11269 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.50 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.679865E+00 | grad norm: 1.012 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.309 | TFLOPs: 33.77 | 7: iteration 640/ 11269 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.51 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.654753E+00 | grad norm: 0.755 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 504.892 | TFLOPs: 33.02 | 7: iteration 650/ 11269 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.49 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.567943E+00 | grad norm: 0.858 | num 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4.481804E+00 | grad norm: 0.872 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.632 | TFLOPs: 33.98 | 7: iteration 690/ 11269 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.49 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 4.460097E+00 | grad norm: 1.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.993 | TFLOPs: 34.47 | 7: iteration 700/ 11269 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.49 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 4.439820E+00 | grad norm: 0.869 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.388 | TFLOPs: 33.90 | 7: iteration 710/ 11269 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.51 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 4.381787E+00 | grad norm: 1.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 501.154 | TFLOPs: 32.78 | 7: iteration 720/ 11269 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.49 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 4.381667E+00 | grad norm: 0.667 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.559 | TFLOPs: 33.91 | 7: iteration 730/ 11269 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.48 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 4.342009E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.560 | TFLOPs: 34.63 | 7: iteration 740/ 11269 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.49 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 4.324191E+00 | grad norm: 0.808 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.531 | TFLOPs: 34.11 | 7: iteration 750/ 11269 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.49 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 4.275132E+00 | grad norm: 0.989 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.492 | TFLOPs: 33.91 | 7: iteration 760/ 11269 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.50 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 4.273450E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.859 | TFLOPs: 33.74 | 7: iteration 770/ 11269 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed 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consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.49 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 4.187480E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.410 | TFLOPs: 34.10 | 7: iteration 840/ 11269 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.49 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 4.164037E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.116 | TFLOPs: 34.15 | 7: iteration 850/ 11269 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.49 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 4.119492E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.711 | TFLOPs: 33.92 | 7: iteration 860/ 11269 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.49 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 4.105123E+00 | grad norm: 0.809 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.987 | TFLOPs: 34.14 | 7: iteration 870/ 11269 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.49 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 4.112428E+00 | grad norm: 0.606 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.733 | TFLOPs: 34.45 | 7: iteration 880/ 11269 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.50 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 4.077282E+00 | grad norm: 0.702 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.190 | TFLOPs: 33.50 | 7: iteration 890/ 11269 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.49 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 4.076788E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.781 | TFLOPs: 33.93 | 7: iteration 900/ 11269 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.50 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 4.104634E+00 | grad norm: 0.814 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 509.255 | TFLOPs: 33.31 | 7: iteration 910/ 11269 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.52 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 4.091375E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 490.986 | TFLOPs: 32.11 | 7: iteration 920/ 11269 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.49 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 4.034367E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.520 | TFLOPs: 34.11 | 7: iteration 930/ 11269 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.49 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 4.036394E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.809 | TFLOPs: 34.19 | 7: iteration 940/ 11269 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.51 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.998262E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 497.283 | TFLOPs: 32.52 | 7: iteration 950/ 11269 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.49 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.998190E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.137 | TFLOPs: 33.89 | 7: iteration 960/ 11269 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.49 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.995633E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.764 | TFLOPs: 33.86 | 7: iteration 970/ 11269 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.49 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.988679E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.774 | TFLOPs: 34.39 | 7: iteration 980/ 11269 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.49 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.985878E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.906 | TFLOPs: 34.20 | 7: iteration 990/ 11269 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.49 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.954536E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.627 | TFLOPs: 34.44 | 7: iteration 1000/ 11269 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.50 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.983698E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.058 | TFLOPs: 33.75 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 3.822810E+00 | lm loss PPL: 4.573252E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_280moscar 0: [2022-11-29 17:00:55,649] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-29 17:00:55,686] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:00:55,802] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step1000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:00:55,803] [INFO] 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[Torch] Saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:00:56,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 17:00:56,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:00:56,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 17:00:56,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:00:56,351] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-29 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Saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:00:56,392] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:00:56,392] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-29 17:00:56,392] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 5: [2022-11-29 17:00:56,392] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 4: [2022-11-29 17:00:56,392] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:00:56,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2022-11-29 17:00:56,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2022-11-29 17:00:56,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2022-11-29 17:00:56,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2022-11-29 17:00:56,397] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:00:56,397] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 17:00:56,397] [INFO] 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checkpoints_280moscar/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:00:56,432] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 794.23 7: iteration 1010/ 11269 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.58 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.946331E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.522 | TFLOPs: 28.68 | 7: iteration 1020/ 11269 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.48 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.944511E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.633 | TFLOPs: 34.77 | 7: iteration 1030/ 11269 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.49 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.934938E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.200 | TFLOPs: 34.41 | 7: iteration 1040/ 11269 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.50 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.899381E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.322 | TFLOPs: 33.70 | 7: iteration 1050/ 11269 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.49 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.907783E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.946 | TFLOPs: 34.20 | 7: iteration 1060/ 11269 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.49 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.911126E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.366 | TFLOPs: 34.10 | 7: iteration 1070/ 11269 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.50 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.883450E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.844 | TFLOPs: 33.54 | 7: iteration 1080/ 11269 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.49 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.881864E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.334 | TFLOPs: 34.10 | 7: iteration 1090/ 11269 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.49 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.888571E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.518 | TFLOPs: 33.91 | 7: iteration 1100/ 11269 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.50 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.873519E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.575 | TFLOPs: 33.46 | 7: iteration 1110/ 11269 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.49 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.833746E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.489 | TFLOPs: 34.04 | 7: iteration 1120/ 11269 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.49 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.848864E+00 | grad norm: 0.858 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.026 | TFLOPs: 34.34 | 7: iteration 1130/ 11269 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.50 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.851189E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.234 | TFLOPs: 33.70 | 7: iteration 1140/ 11269 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.49 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.851610E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.373 | TFLOPs: 34.36 | 7: iteration 1150/ 11269 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.49 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.827748E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.512 | TFLOPs: 34.43 | 7: iteration 1160/ 11269 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.49 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.856986E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.928 | TFLOPs: 34.13 | 7: iteration 1170/ 11269 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.50 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.844683E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.556 | TFLOPs: 33.65 | 7: iteration 1180/ 11269 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.50 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.814069E+00 | grad norm: 0.568 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.371 | TFLOPs: 33.77 | 7: iteration 1190/ 11269 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.50 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.886897E+00 | grad norm: 0.674 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.614 | TFLOPs: 33.79 | 7: iteration 1200/ 11269 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.48 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.822720E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.307 | TFLOPs: 34.75 | 7: iteration 1210/ 11269 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.51 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.802046E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.510 | TFLOPs: 33.06 | 7: iteration 1220/ 11269 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.50 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.802422E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.566 | TFLOPs: 33.59 | 7: iteration 1230/ 11269 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per 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tokens: 660602880 | elapsed time per iteration (s): 0.50 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.787183E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.054 | TFLOPs: 33.75 | 7: iteration 1270/ 11269 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.50 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.778396E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.050 | TFLOPs: 33.55 | 7: iteration 1280/ 11269 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.49 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.768424E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.992 | TFLOPs: 34.33 | 7: iteration 1290/ 11269 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.49 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.757653E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.886 | TFLOPs: 34.20 | 7: iteration 1300/ 11269 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.51 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.772801E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 504.143 | TFLOPs: 32.97 | 7: iteration 1310/ 11269 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.48 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.761455E+00 | grad norm: 0.703 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.099 | TFLOPs: 34.80 | 7: iteration 1320/ 11269 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.49 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.759308E+00 | grad norm: 0.656 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.742 | TFLOPs: 34.32 | 7: iteration 1330/ 11269 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.49 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.736424E+00 | grad norm: 0.598 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.313 | TFLOPs: 33.90 | 7: iteration 1340/ 11269 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.50 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.726904E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.762 | TFLOPs: 33.47 | 7: iteration 1350/ 11269 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.49 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.727308E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.510 | TFLOPs: 34.24 | 7: iteration 1360/ 11269 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.48 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.723028E+00 | grad norm: 0.618 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.477 | TFLOPs: 34.56 | 7: iteration 1370/ 11269 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.49 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 3.705416E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.745 | TFLOPs: 34.45 | 7: iteration 1380/ 11269 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.49 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 3.705625E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.400 | TFLOPs: 34.43 | 7: iteration 1390/ 11269 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.49 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.701799E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.008 | TFLOPs: 34.47 | 7: iteration 1400/ 11269 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.49 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.713981E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.043 | TFLOPs: 34.27 | 7: iteration 1410/ 11269 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.49 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 3.695519E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.708 | TFLOPs: 34.38 | 7: iteration 1420/ 11269 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.49 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.679111E+00 | grad norm: 0.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.353 | TFLOPs: 34.03 | 7: iteration 1430/ 11269 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.49 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.718058E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.917 | TFLOPs: 34.20 | 7: iteration 1440/ 11269 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.48 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.676295E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.716 | TFLOPs: 35.04 | 7: iteration 1450/ 11269 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.49 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 3.698036E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.172 | TFLOPs: 34.28 | 7: iteration 1460/ 11269 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.50 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 3.678895E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.315 | TFLOPs: 33.70 | 7: iteration 1470/ 11269 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.49 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 3.691276E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.899 | TFLOPs: 33.87 | 7: iteration 1480/ 11269 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.49 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.694860E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.073 | TFLOPs: 34.27 | 7: iteration 1490/ 11269 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.51 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.641002E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 501.776 | TFLOPs: 32.82 | 7: iteration 1500/ 11269 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.49 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 3.662987E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.835 | TFLOPs: 34.06 | 7: iteration 1510/ 11269 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.48 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.677065E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.359 | TFLOPs: 34.62 | 7: iteration 1520/ 11269 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.50 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 3.650162E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.114 | TFLOPs: 33.75 | 7: iteration 1530/ 11269 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.49 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.632182E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.069 | TFLOPs: 34.21 | 7: iteration 1540/ 11269 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.49 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.671456E+00 | grad norm: 0.541 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.387 | TFLOPs: 34.16 | 7: iteration 1550/ 11269 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.49 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 3.628587E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.224 | TFLOPs: 34.09 | 7: iteration 1560/ 11269 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.49 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.619406E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.978 | TFLOPs: 34.27 | 7: iteration 1570/ 11269 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.49 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.618292E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.375 | TFLOPs: 34.10 | 7: iteration 1580/ 11269 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.49 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.593557E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.634 | TFLOPs: 33.98 | 7: iteration 1590/ 11269 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.49 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.601604E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.515 | TFLOPs: 34.11 | 7: iteration 1600/ 11269 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.49 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.640145E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.252 | TFLOPs: 34.09 | 7: iteration 1610/ 11269 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.50 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 3.604926E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.748 | TFLOPs: 33.60 | 7: iteration 1620/ 11269 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.48 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.620449E+00 | grad norm: 0.626 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.042 | TFLOPs: 34.86 | 7: iteration 1630/ 11269 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.49 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 3.623421E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.883 | TFLOPs: 34.39 | 7: iteration 1640/ 11269 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.50 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.607831E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.159 | TFLOPs: 33.82 | 7: iteration 1650/ 11269 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.50 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.616831E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.879 | TFLOPs: 33.74 | 7: iteration 1660/ 11269 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.49 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.616000E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.724 | TFLOPs: 34.25 | 7: iteration 1670/ 11269 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.50 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.608172E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.187 | TFLOPs: 33.69 | 7: iteration 1680/ 11269 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.51 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.579284E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 504.975 | TFLOPs: 33.03 | 7: iteration 1690/ 11269 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.51 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.614458E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 498.401 | TFLOPs: 32.60 | 7: iteration 1700/ 11269 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.49 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.572315E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.096 | TFLOPs: 33.95 | 7: iteration 1710/ 11269 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.49 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.565073E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.638 | TFLOPs: 33.85 | 7: iteration 1720/ 11269 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 0.50 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.592551E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.363 | TFLOPs: 33.70 | 7: iteration 1730/ 11269 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.50 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.569707E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.073 | TFLOPs: 33.75 | 7: iteration 1740/ 11269 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.49 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.579277E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.761 | TFLOPs: 34.19 | 7: iteration 1750/ 11269 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.50 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.585079E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 506.991 | TFLOPs: 33.16 | 7: iteration 1760/ 11269 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.50 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.542014E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.601 | TFLOPs: 33.65 | 7: iteration 1770/ 11269 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.48 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.564766E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.072 | TFLOPs: 34.67 | 7: iteration 1780/ 11269 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.49 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.559685E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.038 | TFLOPs: 34.34 | 7: iteration 1790/ 11269 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.48 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 3.562748E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.819 | TFLOPs: 34.85 | 7: iteration 1800/ 11269 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.49 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.571491E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.330 | TFLOPs: 33.83 | 7: iteration 1810/ 11269 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.49 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.554251E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.396 | TFLOPs: 34.43 | 7: iteration 1820/ 11269 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.51 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.536426E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 504.407 | TFLOPs: 32.99 | 7: iteration 1830/ 11269 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.48 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.584848E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.771 | TFLOPs: 34.65 | 7: iteration 1840/ 11269 | consumed samples: 471040 | consumed 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0 | number of nan iterations: 0 | samples per second: 524.460 | TFLOPs: 34.30 | 7: iteration 1960/ 11269 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.48 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 3.532045E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.313 | TFLOPs: 34.81 | 7: iteration 1970/ 11269 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.50 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.530872E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 508.002 | TFLOPs: 33.22 | 7: iteration 1980/ 11269 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.49 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 3.511605E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.367 | TFLOPs: 34.36 | 7: iteration 1990/ 11269 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.49 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.499475E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.992 | TFLOPs: 34.40 | 0: [2022-11-29 17:09:08,370] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00018758615112345138, 0.00018758615112345138, 0.00018758615112345138], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 11269 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.49 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.503494E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.273 | TFLOPs: 33.89 | 0: steps: 2000 loss: 3.4992 iter time (s): 0.498 samples/sec: 513.823 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 3.396381E+00 | lm loss PPL: 2.985585E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_280moscar 0: [2022-11-29 17:09:08,550] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-29 17:09:08,555] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:09:08,668] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:09:08,669] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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6: [2022-11-29 17:09:09,209] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 17:09:09,209] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:09:09,211] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:09:09,211] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-29 17:09:09,211] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:09:09,212] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:09:09,212] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 2: [2022-11-29 17:09:09,212] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:09:09,212] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:09:09,212] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:09:09,213] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:09:09,213] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:09:09,213] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:09:09,213] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 17:09:09,213] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-29 17:09:09,214] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:09:09,214] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 17:09:09,214] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:09:09,215] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:09:09,215] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 17:09:09,215] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:09:09,216] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:09:09,216] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 17:09:09,216] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-29 17:09:09,215] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:09:09,215] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-29 17:09:09,215] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:09:09,218] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:09:09,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 17:09:09,218] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:09:09,218] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:09:09,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:09:09,218] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:09:09,219] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:09:09,219] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:09:09,219] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:09:09,219] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:09:09,219] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:09:09,219] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:09:09,219] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:09:09,219] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:09:09,219] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-29 17:09:09,221] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:09:09,221] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:09:09,221] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 4: [2022-11-29 17:09:09,221] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 6: [2022-11-29 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 17:09:09,234] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:09:09,234] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:09:09,234] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:09:09,234] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:09:09,234] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:09:09,236] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-29 17:09:09,236] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:09:09,236] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:09:09,241] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:09:09,241] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-29 17:09:09,241] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:09:09,241] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:09:09,241] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 17:09:09,241] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-29 17:09:09,241] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:09:09,241] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 17:09:09,242] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:09:09,242] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:09:09,242] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 17:09:09,242] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-29 17:09:09,250] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:09:09,251] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 17:09:09,251] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:09:09,305] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:09:09,305] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 760.86 7: iteration 2010/ 11269 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.59 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 3.486458E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 433.624 | TFLOPs: 28.36 | 7: iteration 2020/ 11269 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.48 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 3.490071E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.031 | TFLOPs: 34.73 | 7: iteration 2030/ 11269 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.48 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 3.502809E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.621 | TFLOPs: 34.96 | 7: iteration 2040/ 11269 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.49 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 3.473956E+00 | grad norm: 0.544 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.650 | TFLOPs: 34.05 | 7: iteration 2050/ 11269 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.51 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 3.504304E+00 | grad norm: 0.773 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 501.631 | TFLOPs: 32.81 | 7: iteration 2060/ 11269 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.49 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 3.542669E+00 | grad norm: 1.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.940 | TFLOPs: 33.94 | 7: iteration 2070/ 11269 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.48 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 3.545784E+00 | grad norm: 0.643 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.856 | TFLOPs: 34.52 | 7: iteration 2080/ 11269 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.48 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.513686E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.260 | TFLOPs: 34.61 | 7: iteration 2090/ 11269 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.49 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 3.472852E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.135 | TFLOPs: 34.41 | 7: iteration 2100/ 11269 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.49 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 3.489860E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.286 | TFLOPs: 34.35 | 7: iteration 2110/ 11269 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.49 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 3.496206E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.257 | TFLOPs: 34.16 | 7: iteration 2120/ 11269 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.49 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.470588E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.386 | TFLOPs: 34.49 | 7: iteration 2130/ 11269 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.50 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 3.460014E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.513 | TFLOPs: 33.58 | 7: iteration 2140/ 11269 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.48 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 3.472399E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.418 | TFLOPs: 35.02 | 7: iteration 2150/ 11269 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.49 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 3.465211E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.400 | TFLOPs: 34.43 | 7: iteration 2160/ 11269 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.50 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 3.487571E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.070 | TFLOPs: 33.49 | 7: iteration 2170/ 11269 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.48 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 3.461234E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.366 | TFLOPs: 34.69 | 7: iteration 2180/ 11269 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.48 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 3.457051E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.077 | TFLOPs: 34.73 | 7: iteration 2190/ 11269 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.48 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 3.454500E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.940 | TFLOPs: 34.53 | 7: iteration 2200/ 11269 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.48 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 3.448019E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.084 | TFLOPs: 34.60 | 7: iteration 2210/ 11269 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.48 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 3.452511E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.491 | TFLOPs: 34.69 | 7: iteration 2220/ 11269 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.49 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 3.455171E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.835 | TFLOPs: 34.39 | 7: iteration 2230/ 11269 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.48 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 3.441755E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.285 | TFLOPs: 34.88 | 7: iteration 2240/ 11269 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.49 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 3.467740E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.074 | TFLOPs: 34.21 | 7: iteration 2250/ 11269 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.48 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 3.454001E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.727 | TFLOPs: 34.77 | 7: iteration 2260/ 11269 | consumed samples: 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iteration 2290/ 11269 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.50 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 3.454397E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.456 | TFLOPs: 33.38 | 7: iteration 2300/ 11269 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.48 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 3.423719E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.171 | TFLOPs: 34.61 | 7: iteration 2310/ 11269 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.49 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 3.432936E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.377 | TFLOPs: 34.36 | 7: iteration 2320/ 11269 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.50 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 3.416427E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.870 | TFLOPs: 33.74 | 7: iteration 2330/ 11269 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.48 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 3.444173E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.516 | TFLOPs: 34.56 | 7: iteration 2340/ 11269 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.49 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 3.436779E+00 | grad norm: 0.870 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.417 | TFLOPs: 34.49 | 7: iteration 2350/ 11269 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.49 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 3.459921E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.018 | TFLOPs: 33.94 | 7: iteration 2360/ 11269 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.50 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 3.418805E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.141 | TFLOPs: 33.76 | 7: iteration 2370/ 11269 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.49 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 3.410075E+00 | grad norm: 0.713 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.156 | TFLOPs: 34.35 | 7: iteration 2380/ 11269 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.48 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.416851E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.139 | TFLOPs: 34.67 | 7: iteration 2390/ 11269 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.49 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 3.447997E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.691 | TFLOPs: 34.18 | 7: iteration 2400/ 11269 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.48 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 3.398949E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.543 | TFLOPs: 34.63 | 7: iteration 2410/ 11269 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.49 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 3.421989E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.951 | TFLOPs: 34.20 | 7: iteration 2420/ 11269 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.48 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 3.395298E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.255 | TFLOPs: 34.61 | 7: iteration 2430/ 11269 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.50 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 3.419765E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.379 | TFLOPs: 33.64 | 7: iteration 2440/ 11269 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.48 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 3.405205E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.305 | TFLOPs: 34.88 | 7: iteration 2450/ 11269 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.49 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 3.414911E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.640 | TFLOPs: 33.92 | 7: iteration 2460/ 11269 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.48 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 3.386184E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.240 | TFLOPs: 34.81 | 7: iteration 2470/ 11269 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.49 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 3.406841E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.140 | TFLOPs: 33.89 | 7: iteration 2480/ 11269 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.50 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 3.411943E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.961 | TFLOPs: 33.68 | 7: iteration 2490/ 11269 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.50 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.402354E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.250 | TFLOPs: 33.44 | 7: iteration 2500/ 11269 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.50 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 3.423024E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.543 | TFLOPs: 33.65 | 7: iteration 2510/ 11269 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.48 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.411778E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.292 | TFLOPs: 34.62 | 7: iteration 2520/ 11269 | consumed samples: 645120 | consumed 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global batch size: 256 | lm loss: 3.346249E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.636 | TFLOPs: 34.51 | 7: iteration 2730/ 11269 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.49 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 3.359521E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.556 | TFLOPs: 34.24 | 7: iteration 2740/ 11269 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.48 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 3.336089E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.959 | TFLOPs: 34.86 | 7: iteration 2750/ 11269 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.50 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 3.351630E+00 | grad norm: 2.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.195 | TFLOPs: 33.56 | 7: iteration 2760/ 11269 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.49 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 3.412474E+00 | grad norm: 0.577 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.512 | TFLOPs: 34.24 | 7: iteration 2770/ 11269 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.49 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 3.411522E+00 | grad norm: 1.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.972 | TFLOPs: 33.88 | 7: iteration 2780/ 11269 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.49 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 3.421719E+00 | grad norm: 3.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.759 | TFLOPs: 34.06 | 7: iteration 2790/ 11269 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.48 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 3.478624E+00 | grad norm: 0.818 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.198 | TFLOPs: 34.87 | 7: iteration 2800/ 11269 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.48 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 3.436840E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.813 | TFLOPs: 34.72 | 7: iteration 2810/ 11269 | consumed samples: 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second: 522.727 | TFLOPs: 34.19 | 7: iteration 2870/ 11269 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.48 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 3.364589E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.861 | TFLOPs: 35.18 | 7: iteration 2880/ 11269 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.49 | learning rate: 1.740E-04 | global batch size: 256 | lm loss: 3.328471E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.799 | TFLOPs: 34.06 | 7: iteration 2890/ 11269 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.48 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 3.325008E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.099 | TFLOPs: 34.80 | 7: iteration 2900/ 11269 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.50 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 3.346202E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.522 | TFLOPs: 33.45 | 7: iteration 2910/ 11269 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.51 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 3.348462E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 506.364 | TFLOPs: 33.12 | 7: iteration 2920/ 11269 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.49 | learning rate: 1.733E-04 | global batch size: 256 | lm loss: 3.325143E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.492 | TFLOPs: 34.04 | 7: iteration 2930/ 11269 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.51 | learning rate: 1.731E-04 | global batch size: 256 | lm loss: 3.303571E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 503.280 | TFLOPs: 32.91 | 7: iteration 2940/ 11269 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.51 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 3.366065E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 506.870 | TFLOPs: 33.15 | 7: iteration 2950/ 11269 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.50 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 3.304288E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.290 | TFLOPs: 33.57 | 7: iteration 2960/ 11269 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.49 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 3.303240E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.438 | TFLOPs: 34.49 | 7: iteration 2970/ 11269 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.48 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 3.305698E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.679 | TFLOPs: 35.10 | 7: iteration 2980/ 11269 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.49 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 3.360927E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.703 | TFLOPs: 34.32 | 7: iteration 2990/ 11269 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.48 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 3.299805E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.028 | TFLOPs: 34.53 | 7: iteration 3000/ 11269 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.49 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 3.302173E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.017 | TFLOPs: 34.14 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 3.140520E+00 | lm loss PPL: 2.311589E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_280moscar 0: [2022-11-29 17:17:18,429] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-29 17:17:18,434] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:17:18,547] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:17:18,548] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step3000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:17:18,572] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/layer_03-model_00-model_states.pt. 0: [2022-11-29 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checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:17:19,103] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:17:19,107] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:17:19,107] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 17:17:19,107] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-29 17:17:19,109] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:17:19,109] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-29 17:17:19,109] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-29 17:17:19,110] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:17:19,110] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:17:19,110] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 17:17:19,110] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 17:17:19,110] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-29 17:17:19,110] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2022-11-29 17:17:19,111] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:17:19,111] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 17:17:19,111] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,111] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,112] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,112] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2022-11-29 17:17:19,112] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:17:19,112] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2022-11-29 17:17:19,112] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2022-11-29 17:17:19,112] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:17:19,109] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:19,112] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:19,112] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 5: [2022-11-29 17:17:19,114] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:17:19,114] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:17:19,114] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-29 17:17:19,114] [INFO] 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-29 17:17:19,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-29 17:17:19,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-29 17:17:19,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-29 17:17:19,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-29 17:17:19,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 2: [2022-11-29 17:17:19,107] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint 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bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-29 17:17:19,128] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:19,128] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2022-11-29 17:17:19,128] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2022-11-29 17:17:19,128] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2022-11-29 17:17:19,128] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:19,128] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:19,128] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-29 17:17:19,128] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:17:19,129] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:17:19,129] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,130] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,130] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,130] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,130] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,130] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,130] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,131] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:17:19,131] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,131] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,131] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-29 17:17:19,140] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:17:19,140] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 17:17:19,140] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-29 17:17:19,140] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:17:19,140] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:17:19,140] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 17:17:19,140] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-29 17:17:19,140] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-29 17:17:19,143] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2022-11-29 17:17:19,129] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:19,129] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:19,129] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,152] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,152] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:19,152] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,152] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:19,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:17:19,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2022-11-29 17:17:19,192] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step3000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:17:19,192] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: successfully saved checkpoint at iteration 3000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 772.71 7: iteration 3010/ 11269 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.58 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 3.319137E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.625 | TFLOPs: 28.95 | 7: iteration 3020/ 11269 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.48 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 3.326492E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.840 | TFLOPs: 34.85 | 7: iteration 3030/ 11269 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.48 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 3.301016E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.096 | TFLOPs: 35.00 | 7: iteration 3040/ 11269 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.48 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 3.324797E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.241 | TFLOPs: 35.07 | 7: iteration 3050/ 11269 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.48 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 3.317037E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.411 | TFLOPs: 34.56 | 7: iteration 3060/ 11269 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.48 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 3.286342E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.667 | TFLOPs: 34.64 | 7: iteration 3070/ 11269 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.48 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 3.315489E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.700 | TFLOPs: 35.03 | 7: iteration 3080/ 11269 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.49 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 3.322235E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.247 | TFLOPs: 33.89 | 7: iteration 3090/ 11269 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.49 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 3.317073E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.255 | TFLOPs: 34.42 | 7: iteration 3100/ 11269 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.48 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 3.303051E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.808 | TFLOPs: 35.04 | 7: iteration 3110/ 11269 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.48 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 3.303169E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.425 | TFLOPs: 35.02 | 7: iteration 3120/ 11269 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.49 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 3.317271E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.156 | TFLOPs: 34.28 | 7: iteration 3130/ 11269 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.49 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 3.318497E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.137 | TFLOPs: 34.21 | 7: iteration 3140/ 11269 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.50 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 3.293530E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.844 | TFLOPs: 33.47 | 7: iteration 3150/ 11269 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.49 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 3.284908E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.801 | TFLOPs: 34.45 | 7: iteration 3160/ 11269 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.49 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 3.283961E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.680 | TFLOPs: 34.25 | 7: iteration 3170/ 11269 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.49 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 3.287147E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.538 | TFLOPs: 34.44 | 7: iteration 3180/ 11269 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.49 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 3.304942E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.110 | TFLOPs: 34.41 | 7: iteration 3190/ 11269 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.48 | learning rate: 1.683E-04 | global batch size: 256 | lm loss: 3.277026E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.417 | TFLOPs: 34.75 | 7: iteration 3200/ 11269 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.51 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 3.322816E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 500.376 | TFLOPs: 32.72 | 7: iteration 3210/ 11269 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.48 | learning rate: 1.679E-04 | global batch size: 256 | lm loss: 3.287775E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.280 | TFLOPs: 34.94 | 7: iteration 3220/ 11269 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.48 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 3.292045E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.667 | TFLOPs: 34.71 | 7: iteration 3230/ 11269 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.50 | learning rate: 1.675E-04 | global batch size: 256 | lm loss: 3.276307E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 509.322 | TFLOPs: 33.31 | 7: iteration 3240/ 11269 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.49 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 3.278205E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.805 | TFLOPs: 34.39 | 7: iteration 3250/ 11269 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.49 | learning rate: 1.671E-04 | global batch size: 256 | lm loss: 3.258368E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.209 | TFLOPs: 33.83 | 7: iteration 3260/ 11269 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.49 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 3.259803E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.493 | TFLOPs: 33.97 | 7: iteration 3270/ 11269 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.48 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 3.299592E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.925 | TFLOPs: 35.05 | 7: iteration 3280/ 11269 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.49 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 3.278499E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.255 | TFLOPs: 34.22 | 7: iteration 3290/ 11269 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.49 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 3.263840E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.053 | TFLOPs: 33.88 | 7: iteration 3300/ 11269 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.51 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 3.282739E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.628 | TFLOPs: 33.07 | 7: iteration 3310/ 11269 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.49 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 3.281604E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.321 | TFLOPs: 33.83 | 7: iteration 3320/ 11269 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.49 | learning 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34.54 | 7: iteration 3440/ 11269 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.48 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 3.271558E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.777 | TFLOPs: 34.58 | 7: iteration 3450/ 11269 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.49 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 3.281933E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.829 | TFLOPs: 34.45 | 7: iteration 3460/ 11269 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.49 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 3.256512E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.325 | TFLOPs: 34.36 | 7: iteration 3470/ 11269 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.49 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 3.258695E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.051 | TFLOPs: 34.14 | 7: iteration 3480/ 11269 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.49 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 3.266991E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.161 | TFLOPs: 34.02 | 7: iteration 3490/ 11269 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.48 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 3.229772E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.043 | TFLOPs: 34.53 | 7: iteration 3500/ 11269 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.51 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 3.276263E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.252 | TFLOPs: 33.04 | 7: iteration 3510/ 11269 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.49 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 3.231759E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.865 | TFLOPs: 34.33 | 7: iteration 3520/ 11269 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.48 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 3.251577E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.663 | TFLOPs: 34.57 | 7: iteration 3530/ 11269 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.49 | learning rate: 1.614E-04 | global batch size: 256 | lm loss: 3.243116E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.106 | TFLOPs: 34.01 | 7: iteration 3540/ 11269 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.49 | learning rate: 1.612E-04 | global batch size: 256 | lm loss: 3.255746E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.998 | TFLOPs: 34.27 | 7: iteration 3550/ 11269 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.50 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 3.266895E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.238 | TFLOPs: 33.76 | 7: iteration 3560/ 11269 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.49 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 3.225822E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.621 | TFLOPs: 34.38 | 7: iteration 3570/ 11269 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.48 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 3.266941E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.096 | TFLOPs: 34.60 | 7: iteration 3580/ 11269 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.50 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 3.240483E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.901 | TFLOPs: 33.81 | 7: iteration 3590/ 11269 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.49 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 3.237268E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.117 | TFLOPs: 33.95 | 7: iteration 3600/ 11269 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.50 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 3.251830E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.741 | TFLOPs: 33.79 | 7: iteration 3610/ 11269 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.49 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 3.232803E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.192 | TFLOPs: 33.95 | 7: iteration 3620/ 11269 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.49 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 3.240752E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.276 | TFLOPs: 33.90 | 7: iteration 3630/ 11269 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.49 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 3.257949E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.653 | TFLOPs: 34.25 | 7: iteration 3640/ 11269 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.48 | learning rate: 1.591E-04 | global batch size: 256 | lm loss: 3.222973E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.677 | TFLOPs: 34.84 | 7: iteration 3650/ 11269 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.48 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 3.224478E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.675 | TFLOPs: 35.03 | 7: iteration 3660/ 11269 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.50 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 3.245363E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.791 | TFLOPs: 33.54 | 7: iteration 3670/ 11269 | consumed samples: 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iteration 3700/ 11269 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.50 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 3.240149E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.689 | TFLOPs: 33.66 | 7: iteration 3710/ 11269 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.48 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 3.254907E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.084 | TFLOPs: 35.19 | 7: iteration 3720/ 11269 | consumed samples: 952320 | consumed tokens: 1950351360 | elapsed time per iteration (s): 0.49 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 3.245842E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.999 | TFLOPs: 34.14 | 7: iteration 3730/ 11269 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 0.49 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 3.243960E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.103 | TFLOPs: 34.47 | 7: iteration 3740/ 11269 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.49 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 3.207339E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.027 | TFLOPs: 34.47 | 7: iteration 3750/ 11269 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.48 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 3.212664E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.885 | TFLOPs: 34.79 | 7: iteration 3760/ 11269 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.49 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 3.214348E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.737 | TFLOPs: 34.32 | 7: iteration 3770/ 11269 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.48 | learning rate: 1.563E-04 | global batch size: 256 | lm loss: 3.237714E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.916 | TFLOPs: 34.59 | 7: iteration 3780/ 11269 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.48 | learning rate: 1.561E-04 | global batch size: 256 | lm loss: 3.231464E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.369 | TFLOPs: 35.21 | 7: iteration 3790/ 11269 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.48 | learning rate: 1.559E-04 | global batch size: 256 | lm loss: 3.219939E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.728 | TFLOPs: 34.64 | 7: iteration 3800/ 11269 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.49 | learning rate: 1.557E-04 | global batch size: 256 | lm loss: 3.254816E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.708 | TFLOPs: 34.32 | 7: iteration 3810/ 11269 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.50 | learning rate: 1.555E-04 | global batch size: 256 | lm loss: 3.240480E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.544 | TFLOPs: 33.45 | 7: iteration 3820/ 11269 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.48 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 3.232115E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.032 | TFLOPs: 34.53 | 7: iteration 3830/ 11269 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.49 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 3.229807E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.105 | TFLOPs: 34.41 | 7: iteration 3840/ 11269 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.48 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 3.229958E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.424 | TFLOPs: 35.02 | 7: iteration 3850/ 11269 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.48 | learning rate: 1.546E-04 | global batch size: 256 | lm loss: 3.253176E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.057 | TFLOPs: 34.93 | 7: iteration 3860/ 11269 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.49 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 3.211185E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.983 | TFLOPs: 34.14 | 7: iteration 3870/ 11269 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.47 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 3.215765E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.006 | TFLOPs: 35.38 | 7: iteration 3880/ 11269 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.48 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 3.202934E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.545 | TFLOPs: 35.09 | 7: iteration 3890/ 11269 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.51 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 3.204744E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 502.505 | TFLOPs: 32.86 | 7: iteration 3900/ 11269 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.48 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 3.202953E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.557 | TFLOPs: 35.16 | 7: iteration 3910/ 11269 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.48 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 3.191960E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.330 | TFLOPs: 35.21 | 7: iteration 3920/ 11269 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.48 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 3.196174E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.222 | TFLOPs: 34.55 | 7: iteration 3930/ 11269 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.49 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 3.202548E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.217 | TFLOPs: 34.41 | 7: iteration 3940/ 11269 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.48 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 3.204599E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.286 | TFLOPs: 34.62 | 7: iteration 3950/ 11269 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.49 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 3.213648E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.211 | TFLOPs: 34.41 | 7: iteration 3960/ 11269 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.48 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 3.183068E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.235 | TFLOPs: 34.68 | 7: iteration 3970/ 11269 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.49 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 3.213995E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.380 | TFLOPs: 34.03 | 7: iteration 3980/ 11269 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.48 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 3.200967E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.116 | TFLOPs: 35.06 | 7: iteration 3990/ 11269 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.49 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 3.205708E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.013 | TFLOPs: 34.20 | 0: [2022-11-29 17:25:27,307] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00015125198701273666, 0.00015125198701273666, 0.00015125198701273666], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 11269 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.51 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 3.197967E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 500.832 | TFLOPs: 32.75 | 0: steps: 4000 loss: 3.1917 iter time (s): 0.486 samples/sec: 526.944 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 3.067122E+00 | lm loss PPL: 2.148000E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_280moscar 0: [2022-11-29 17:25:27,497] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-29 17:25:27,503] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:25:27,617] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:25:27,618] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step4000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:25:27,642] [INFO] 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[Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:25:28,147] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 17:25:28,147] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:25:28,148] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:25:28,148] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:25:28,148] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 17:25:28,148] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 17:25:28,148] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:25:28,148] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:25:28,149] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:25:28,150] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:25:28,150] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:25:28,150] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-29 17:25:28,150] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-29 17:25:28,150] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-29 17:25:28,150] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 4: [2022-11-29 17:25:28,150] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2022-11-29 17:25:28,150] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2022-11-29 17:25:28,150] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-29 17:25:28,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2022-11-29 17:25:28,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-29 17:25:28,154] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:25:28,154] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 4: [2022-11-29 17:25:28,155] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:25:28,155] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-29 17:25:28,155] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:25:28,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:25:28,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:25:28,156] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:25:28,156] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:25:28,156] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:25:28,156] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:25:28,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:25:28,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:25:28,157] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-29 17:25:28,157] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-29 17:25:28,157] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[2022-11-29 17:25:28,157] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 5: [2022-11-29 17:25:28,158] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:25:28,158] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 17:25:28,158] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:25:28,160] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:25:28,160] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-29 17:25:28,160] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:25:28,160] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:25:28,160] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 17:25:28,160] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:25:28,145] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:25:28,145] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:25:28,151] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:25:28,151] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:25:28,152] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-29 17:25:28,162] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:25:28,164] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:25:28,164] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-29 17:25:28,164] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-29 17:25:28,167] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:25:28,167] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:25:28,167] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 17:25:28,167] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 17:25:28,167] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-29 17:25:28,167] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-29 17:25:28,168] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:25:28,168] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 17:25:28,174] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:25:28,174] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:25:28,174] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 3: [2022-11-29 17:25:28,152] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 17:25:28,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:25:28,174] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is 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checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-29 17:25:28,173] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:25:28,236] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:25:28,237] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:25:28,240] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:25:28,240] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:25:28,240] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:25:28,240] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 17:25:28,240] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-29 17:25:28,240] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-29 17:25:28,240] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:25:28,240] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:25:28,240] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 752.49 7: iteration 4010/ 11269 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.59 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 3.204708E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 437.229 | TFLOPs: 28.59 | 7: iteration 4020/ 11269 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.49 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 3.217372E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.810 | TFLOPs: 34.13 | 7: iteration 4030/ 11269 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.48 | learning rate: 1.506E-04 | global batch size: 256 | lm loss: 3.208146E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.212 | TFLOPs: 34.94 | 7: iteration 4040/ 11269 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.49 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 3.213557E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.216 | TFLOPs: 34.09 | 7: iteration 4050/ 11269 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.48 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 3.201057E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.262 | TFLOPs: 34.55 | 7: iteration 4060/ 11269 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.48 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 3.206929E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.482 | TFLOPs: 34.56 | 7: iteration 4070/ 11269 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.49 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 3.178758E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.106 | TFLOPs: 34.34 | 7: iteration 4080/ 11269 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.48 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 3.205444E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.268 | TFLOPs: 35.01 | 7: iteration 4090/ 11269 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.48 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 3.223802E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.309 | TFLOPs: 34.55 | 7: iteration 4100/ 11269 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.48 | learning rate: 1.490E-04 | global batch size: 256 | lm loss: 3.197293E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.089 | TFLOPs: 34.54 | 7: iteration 4110/ 11269 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.48 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 3.188232E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.663 | TFLOPs: 34.64 | 7: iteration 4120/ 11269 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.49 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 3.173922E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.680 | TFLOPs: 34.05 | 7: iteration 4130/ 11269 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.50 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 3.205990E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.580 | TFLOPs: 33.46 | 7: iteration 4140/ 11269 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.49 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 3.181448E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.584 | TFLOPs: 34.18 | 7: iteration 4150/ 11269 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.48 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 3.193245E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.522 | TFLOPs: 34.63 | 7: iteration 4160/ 11269 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.51 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 3.193359E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.288 | TFLOPs: 33.05 | 7: iteration 4170/ 11269 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.48 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 3.175042E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.223 | TFLOPs: 34.61 | 7: iteration 4180/ 11269 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.48 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 3.160396E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.897 | TFLOPs: 34.85 | 7: iteration 4190/ 11269 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.47 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 3.181924E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.209 | TFLOPs: 35.39 | 7: iteration 4200/ 11269 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.49 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 3.182685E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.436 | TFLOPs: 34.49 | 7: iteration 4210/ 11269 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.49 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 3.201620E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.453 | TFLOPs: 34.04 | 7: iteration 4220/ 11269 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.48 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 3.205148E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.883 | TFLOPs: 34.72 | 7: iteration 4230/ 11269 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.49 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 3.181755E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.913 | TFLOPs: 34.33 | 7: iteration 4240/ 11269 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.48 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 3.219645E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.642 | TFLOPs: 34.90 | 7: iteration 4250/ 11269 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.48 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 3.143963E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.467 | TFLOPs: 34.56 | 7: iteration 4260/ 11269 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.48 | learning rate: 1.453E-04 | global batch size: 256 | lm loss: 3.220148E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.135 | TFLOPs: 35.00 | 7: iteration 4270/ 11269 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.48 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 3.190829E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.336 | TFLOPs: 34.75 | 7: iteration 4280/ 11269 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.48 | learning rate: 1.448E-04 | global batch size: 256 | lm loss: 3.194734E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.595 | TFLOPs: 34.64 | 7: iteration 4290/ 11269 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.50 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 3.190852E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.241 | TFLOPs: 33.57 | 7: iteration 4300/ 11269 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.49 | learning rate: 1.444E-04 | global batch size: 256 | lm loss: 3.137502E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.246 | TFLOPs: 34.42 | 7: iteration 4310/ 11269 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.52 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 3.171609E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 492.319 | TFLOPs: 32.20 | 7: iteration 4320/ 11269 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.49 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 3.159054E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.138 | TFLOPs: 34.21 | 7: iteration 4330/ 11269 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.49 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 3.167524E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.796 | TFLOPs: 34.13 | 7: iteration 4340/ 11269 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.48 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 3.207053E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.751 | TFLOPs: 34.65 | 7: iteration 4350/ 11269 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.49 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 3.151580E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.081 | TFLOPs: 34.21 | 7: iteration 4360/ 11269 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.48 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 3.145603E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.598 | TFLOPs: 34.57 | 7: iteration 4370/ 11269 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.49 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 3.173687E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.890 | TFLOPs: 34.26 | 7: iteration 4380/ 11269 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.49 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 3.177135E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.648 | TFLOPs: 33.85 | 7: iteration 4390/ 11269 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.48 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 3.164020E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.432 | TFLOPs: 35.08 | 7: iteration 4400/ 11269 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.48 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 3.162332E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.358 | TFLOPs: 34.62 | 7: iteration 4410/ 11269 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.49 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 3.167559E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.862 | TFLOPs: 34.20 | 7: iteration 4420/ 11269 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.49 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 3.163002E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.970 | TFLOPs: 33.88 | 7: iteration 4430/ 11269 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.48 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 3.167165E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.378 | TFLOPs: 34.75 | 7: iteration 4440/ 11269 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.51 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 3.149237E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 504.699 | TFLOPs: 33.01 | 7: iteration 4450/ 11269 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.48 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 3.161631E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.121 | TFLOPs: 34.80 | 7: iteration 4460/ 11269 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.47 | learning rate: 1.406E-04 | global batch size: 256 | lm loss: 3.164098E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.148 | TFLOPs: 35.39 | 7: iteration 4470/ 11269 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.49 | learning rate: 1.403E-04 | global batch size: 256 | lm loss: 3.140189E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.439 | TFLOPs: 34.04 | 7: iteration 4480/ 11269 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.48 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 3.165246E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.311 | TFLOPs: 35.01 | 7: iteration 4490/ 11269 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.49 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 3.167266E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.136 | TFLOPs: 34.15 | 7: iteration 4500/ 11269 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.49 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 3.154243E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.115 | TFLOPs: 34.08 | 7: iteration 4510/ 11269 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.50 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 3.181034E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 507.316 | TFLOPs: 33.18 | 7: iteration 4520/ 11269 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.50 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 3.148374E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.241 | TFLOPs: 33.70 | 7: iteration 4530/ 11269 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.48 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 3.153963E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.545 | TFLOPs: 34.57 | 7: iteration 4540/ 11269 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.48 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 3.159493E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.751 | TFLOPs: 34.58 | 7: iteration 4550/ 11269 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.49 | learning rate: 1.384E-04 | global batch size: 256 | lm loss: 3.157259E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.148 | TFLOPs: 33.95 | 7: iteration 4560/ 11269 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.49 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 3.144427E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.070 | TFLOPs: 34.14 | 7: iteration 4570/ 11269 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.48 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 3.157361E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.073 | TFLOPs: 34.60 | 7: iteration 4580/ 11269 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.49 | learning rate: 1.377E-04 | global batch size: 256 | lm loss: 3.144600E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.947 | TFLOPs: 34.33 | 7: iteration 4590/ 11269 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.49 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 3.144612E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.499 | TFLOPs: 34.11 | 7: iteration 4600/ 11269 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.49 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 3.154229E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.988 | TFLOPs: 34.40 | 7: iteration 4610/ 11269 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.50 | learning rate: 1.370E-04 | global batch size: 256 | lm loss: 3.149665E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.243 | TFLOPs: 33.63 | 7: iteration 4620/ 11269 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.49 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 3.136519E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.820 | TFLOPs: 34.00 | 7: iteration 4630/ 11269 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.48 | learning rate: 1.365E-04 | global batch size: 256 | lm loss: 3.159681E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.306 | TFLOPs: 34.68 | 7: 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iteration (s): 0.48 | learning rate: 1.321E-04 | global batch size: 256 | lm loss: 3.130402E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.149 | TFLOPs: 34.93 | 7: iteration 4820/ 11269 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.48 | learning rate: 1.319E-04 | global batch size: 256 | lm loss: 3.157230E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.522 | TFLOPs: 34.83 | 7: iteration 4830/ 11269 | consumed samples: 1236480 | consumed tokens: 2532311040 | elapsed time per iteration (s): 0.49 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 3.116362E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.624 | TFLOPs: 34.24 | 7: iteration 4840/ 11269 | consumed samples: 1239040 | consumed 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consumed samples: 1246720 | consumed tokens: 2553282560 | elapsed time per iteration (s): 0.48 | learning rate: 1.306E-04 | global batch size: 256 | lm loss: 3.121532E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.224 | TFLOPs: 35.07 | 7: iteration 4880/ 11269 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 0.49 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 3.133436E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.390 | TFLOPs: 34.23 | 7: iteration 4890/ 11269 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 0.49 | learning rate: 1.301E-04 | global batch size: 256 | lm loss: 3.129926E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.319 | TFLOPs: 33.96 | 7: iteration 4900/ 11269 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.48 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 3.122818E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.117 | TFLOPs: 34.54 | 7: iteration 4910/ 11269 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.47 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 3.122899E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.997 | TFLOPs: 35.25 | 7: iteration 4920/ 11269 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.49 | learning rate: 1.294E-04 | global batch size: 256 | lm loss: 3.145403E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.198 | TFLOPs: 34.35 | 7: iteration 4930/ 11269 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.50 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 3.105073E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 507.624 | TFLOPs: 33.20 | 7: iteration 4940/ 11269 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.49 | learning rate: 1.289E-04 | global batch size: 256 | lm loss: 3.152787E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.325 | TFLOPs: 33.83 | 7: iteration 4950/ 11269 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.49 | learning rate: 1.286E-04 | global batch size: 256 | lm loss: 3.117798E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.547 | TFLOPs: 34.24 | 7: iteration 4960/ 11269 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.48 | learning rate: 1.284E-04 | global batch size: 256 | lm loss: 3.152262E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.612 | TFLOPs: 35.16 | 7: iteration 4970/ 11269 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.49 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 3.141135E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.600 | TFLOPs: 34.24 | 7: iteration 4980/ 11269 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.47 | learning rate: 1.279E-04 | global batch size: 256 | lm loss: 3.112229E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.540 | TFLOPs: 35.29 | 7: iteration 4990/ 11269 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.48 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 3.129363E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.417 | TFLOPs: 34.69 | 7: iteration 5000/ 11269 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.49 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 3.121534E+00 | grad norm: 0.676 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.470 | TFLOPs: 33.91 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 3.098590E+00 | lm loss PPL: 2.216667E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_280moscar 0: [2022-11-29 17:33:36,581] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-29 17:33:36,585] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:33:36,698] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:33:36,698] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:33:36,725] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:33:36,725] [INFO] 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[torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/layer_07-model_00-model_states.pt... 0: [2022-11-29 17:33:36,824] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/layer_07-model_00-model_states.pt. 0: [2022-11-29 17:33:36,824] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/layer_08-model_00-model_states.pt... 0: [2022-11-29 17:33:36,849] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/layer_08-model_00-model_states.pt. 0: [2022-11-29 17:33:36,849] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/layer_09-model_00-model_states.pt... 0: [2022-11-29 17:33:36,874] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/layer_09-model_00-model_states.pt. 0: [2022-11-29 17:33:36,875] [INFO] 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0] Saving model checkpoint: checkpoints_280moscar/global_step5000/mp_rank_00_model_states.pt 0: [2022-11-29 17:33:37,151] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/mp_rank_00_model_states.pt... 0: [2022-11-29 17:33:37,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/mp_rank_00_model_states.pt. 0: [2022-11-29 17:33:37,172] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:33:37,172] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:33:37,172] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:33:37,172] [INFO] 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checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt... 5: [2022-11-29 17:33:37,228] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:33:37,229] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-29 17:33:37,229] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-29 17:33:37,230] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:33:37,230] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 17:33:37,230] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:33:37,231] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:33:37,232] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:33:37,232] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:33:37,232] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2022-11-29 17:33:37,234] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:33:37,235] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 17:33:37,235] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-29 17:33:37,230] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:33:37,235] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:33:37,235] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 1: [2022-11-29 17:33:37,235] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:33:37,235] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 1: [2022-11-29 17:33:37,235] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-29 17:33:37,235] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:33:37,235] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:33:37,236] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:37,236] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2022-11-29 17:33:37,236] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:33:37,236] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-29 17:33:37,236] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2022-11-29 17:33:37,236] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:33:37,236] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-29 17:33:37,236] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2022-11-29 17:33:37,236] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-29 17:33:37,237] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-29 17:33:37,237] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2022-11-29 17:33:37,237] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:33:37,237] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 2: [2022-11-29 17:33:37,230] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-29 17:33:37,230] [INFO] 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bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:37,253] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:37,253] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:33:37,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:33:37,253] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:33:37,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:37,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint 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now! 3: [2022-11-29 17:33:37,239] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:37,239] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:37,239] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:37,239] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:37,239] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:33:37,239] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:33:37,240] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:37,240] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:37,240] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:37,240] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:37,240] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:33:37,240] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:33:37,244] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:37,245] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:37,245] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:33:37,245] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:37,245] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:37,245] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:33:37,245] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:37,245] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:37,245] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:33:37,301] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:33:37,301] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:37,301] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:33:37,301] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:33:37,301] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:37,301] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:33:37,324] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:37,324] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 752.86 7: iteration 5010/ 11269 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.59 | learning rate: 1.272E-04 | global batch size: 256 | lm loss: 3.136636E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.276 | TFLOPs: 28.40 | 7: iteration 5020/ 11269 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.48 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 3.135511E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.678 | TFLOPs: 34.64 | 7: iteration 5030/ 11269 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.49 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 3.104427E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.234 | TFLOPs: 34.35 | 7: iteration 5040/ 11269 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.48 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 3.141943E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.995 | TFLOPs: 35.05 | 7: iteration 5050/ 11269 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.48 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 3.118844E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.254 | TFLOPs: 34.55 | 7: iteration 5060/ 11269 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.48 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 3.125171E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.271 | TFLOPs: 34.68 | 7: iteration 5070/ 11269 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.49 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 3.120889E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.336 | TFLOPs: 34.29 | 7: iteration 5080/ 11269 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.48 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 3.139838E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.913 | TFLOPs: 34.92 | 7: iteration 5090/ 11269 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.48 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 3.142016E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.585 | TFLOPs: 34.57 | 7: iteration 5100/ 11269 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.49 | learning rate: 1.249E-04 | global batch size: 256 | lm loss: 3.142689E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.900 | TFLOPs: 34.20 | 7: iteration 5110/ 11269 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.48 | learning rate: 1.247E-04 | global batch size: 256 | lm loss: 3.134387E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.099 | TFLOPs: 34.73 | 7: iteration 5120/ 11269 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.48 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 3.109246E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.582 | TFLOPs: 34.77 | 7: iteration 5130/ 11269 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.48 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 3.135127E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.623 | TFLOPs: 34.70 | 7: iteration 5140/ 11269 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.48 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 3.134586E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.721 | TFLOPs: 34.71 | 7: iteration 5150/ 11269 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.49 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 3.129356E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.515 | TFLOPs: 34.24 | 7: iteration 5160/ 11269 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.48 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 3.123814E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.924 | TFLOPs: 34.59 | 7: iteration 5170/ 11269 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.49 | learning rate: 1.232E-04 | global batch size: 256 | lm loss: 3.135324E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.800 | TFLOPs: 34.26 | 7: iteration 5180/ 11269 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.48 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 3.113697E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.548 | TFLOPs: 35.02 | 7: iteration 5190/ 11269 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.47 | learning rate: 1.227E-04 | global batch size: 256 | lm loss: 3.115358E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.977 | TFLOPs: 35.25 | 7: iteration 5200/ 11269 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.48 | learning rate: 1.224E-04 | global batch size: 256 | lm loss: 3.121964E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.276 | TFLOPs: 35.07 | 7: iteration 5210/ 11269 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.55 | learning rate: 1.221E-04 | global batch size: 256 | lm loss: 3.112877E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.390 | TFLOPs: 30.17 | 7: iteration 5220/ 11269 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.48 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 3.112120E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.821 | TFLOPs: 34.98 | 7: iteration 5230/ 11269 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.48 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 3.076105E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.719 | TFLOPs: 34.84 | 7: iteration 5240/ 11269 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.49 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 3.092333E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.962 | TFLOPs: 34.46 | 7: iteration 5250/ 11269 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.48 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 3.114621E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.642 | TFLOPs: 35.10 | 7: iteration 5260/ 11269 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.49 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 3.098986E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.483 | TFLOPs: 34.50 | 7: iteration 5270/ 11269 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.55 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 3.100653E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 466.738 | TFLOPs: 30.52 | 7: iteration 5280/ 11269 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.48 | learning rate: 1.204E-04 | global batch size: 256 | lm loss: 3.095035E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.202 | TFLOPs: 34.87 | 7: iteration 5290/ 11269 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.48 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 3.119621E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.006 | TFLOPs: 34.60 | 7: iteration 5300/ 11269 | consumed samples: 1356800 | consumed 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consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.47 | learning rate: 1.191E-04 | global batch size: 256 | lm loss: 3.100406E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.366 | TFLOPs: 35.27 | 7: iteration 5340/ 11269 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.49 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 3.106160E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.898 | TFLOPs: 34.39 | 7: iteration 5350/ 11269 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.49 | learning rate: 1.186E-04 | global batch size: 256 | lm loss: 3.114830E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.766 | TFLOPs: 33.86 | 7: iteration 5360/ 11269 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.50 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 3.084948E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.677 | TFLOPs: 33.40 | 7: iteration 5370/ 11269 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.49 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 3.097579E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.310 | TFLOPs: 34.16 | 7: iteration 5380/ 11269 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.48 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 3.123086E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.607 | TFLOPs: 34.96 | 7: iteration 5390/ 11269 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.49 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 3.099529E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.399 | TFLOPs: 34.36 | 7: iteration 5400/ 11269 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.48 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 3.061372E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.867 | TFLOPs: 34.85 | 7: iteration 5410/ 11269 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.48 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 3.099939E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.194 | TFLOPs: 35.07 | 7: iteration 5420/ 11269 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.47 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 3.132364E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.853 | TFLOPs: 35.37 | 7: iteration 5430/ 11269 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.49 | learning rate: 1.166E-04 | global batch size: 256 | lm loss: 3.105640E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.519 | TFLOPs: 34.30 | 7: iteration 5440/ 11269 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.48 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 3.111472E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.844 | TFLOPs: 35.04 | 7: iteration 5450/ 11269 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.48 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 3.067811E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.487 | TFLOPs: 34.69 | 7: iteration 5460/ 11269 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.51 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 3.093767E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 498.474 | TFLOPs: 32.60 | 7: iteration 5470/ 11269 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.49 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 3.094585E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.104 | TFLOPs: 34.47 | 7: iteration 5480/ 11269 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.47 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 3.109892E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.049 | TFLOPs: 35.25 | 7: iteration 5490/ 11269 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.47 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 3.089760E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.500 | TFLOPs: 35.35 | 7: iteration 5500/ 11269 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.49 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 3.121438E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.708 | TFLOPs: 34.45 | 7: iteration 5510/ 11269 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.48 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 3.069639E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.114 | TFLOPs: 34.87 | 7: iteration 5520/ 11269 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.48 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 3.074761E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.812 | TFLOPs: 34.91 | 7: iteration 5530/ 11269 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.48 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 3.075307E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.671 | TFLOPs: 34.64 | 7: iteration 5540/ 11269 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.48 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 3.100433E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.088 | TFLOPs: 34.99 | 7: iteration 5550/ 11269 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.49 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 3.090164E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.089 | TFLOPs: 34.08 | 7: iteration 5560/ 11269 | consumed samples: 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iteration 5590/ 11269 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.48 | learning rate: 1.126E-04 | global batch size: 256 | lm loss: 3.053952E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.846 | TFLOPs: 34.98 | 7: iteration 5600/ 11269 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.49 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 3.087182E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.865 | TFLOPs: 34.13 | 7: iteration 5610/ 11269 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.48 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 3.074302E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.712 | TFLOPs: 34.64 | 7: iteration 5620/ 11269 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.49 | learning rate: 1.118E-04 | global batch size: 256 | lm loss: 3.085210E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.724 | TFLOPs: 34.51 | 7: iteration 5630/ 11269 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.48 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 3.072972E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.886 | TFLOPs: 35.11 | 7: iteration 5640/ 11269 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.48 | learning rate: 1.113E-04 | global batch size: 256 | lm loss: 3.086461E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.552 | TFLOPs: 35.22 | 7: iteration 5650/ 11269 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.49 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 3.106919E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.960 | TFLOPs: 34.40 | 7: iteration 5660/ 11269 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.51 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 3.104283E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 501.397 | TFLOPs: 32.79 | 7: iteration 5670/ 11269 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.50 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 3.076432E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.883 | TFLOPs: 33.80 | 7: iteration 5680/ 11269 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.48 | learning rate: 1.103E-04 | global batch size: 256 | lm loss: 3.086386E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.138 | TFLOPs: 34.74 | 7: iteration 5690/ 11269 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.48 | learning rate: 1.100E-04 | global batch size: 256 | lm loss: 3.067182E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.347 | TFLOPs: 34.88 | 7: iteration 5700/ 11269 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.48 | learning rate: 1.098E-04 | global batch size: 256 | lm loss: 3.090037E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.169 | TFLOPs: 34.74 | 7: iteration 5710/ 11269 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.48 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 3.088234E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.200 | TFLOPs: 34.61 | 7: iteration 5720/ 11269 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.48 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 3.067057E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.780 | TFLOPs: 35.11 | 7: iteration 5730/ 11269 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.48 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 3.055091E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.789 | TFLOPs: 34.58 | 7: iteration 5740/ 11269 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.49 | learning rate: 1.088E-04 | global batch size: 256 | lm loss: 3.086383E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.642 | TFLOPs: 33.98 | 7: iteration 5750/ 11269 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.48 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 3.073791E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.423 | TFLOPs: 35.15 | 7: iteration 5760/ 11269 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.49 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 3.052653E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.895 | TFLOPs: 34.26 | 7: iteration 5770/ 11269 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.48 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 3.086959E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.731 | TFLOPs: 35.10 | 7: iteration 5780/ 11269 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.48 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 3.069123E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.415 | TFLOPs: 34.75 | 7: iteration 5790/ 11269 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.48 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 3.094396E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.363 | TFLOPs: 34.82 | 7: iteration 5800/ 11269 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.48 | learning rate: 1.072E-04 | global batch size: 256 | lm loss: 3.074201E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.533 | TFLOPs: 35.22 | 7: iteration 5810/ 11269 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.48 | learning rate: 1.070E-04 | global batch size: 256 | lm loss: 3.094241E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.746 | TFLOPs: 34.58 | 7: iteration 5820/ 11269 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.48 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 3.082017E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.424 | TFLOPs: 34.82 | 7: iteration 5830/ 11269 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.50 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 3.059198E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.285 | TFLOPs: 33.37 | 7: iteration 5840/ 11269 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.48 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 3.071318E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.371 | TFLOPs: 35.14 | 7: iteration 5850/ 11269 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 0.50 | learning rate: 1.060E-04 | global batch size: 256 | lm loss: 3.098994E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 509.414 | TFLOPs: 33.32 | 7: iteration 5860/ 11269 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.49 | learning rate: 1.057E-04 | global batch size: 256 | lm loss: 3.055338E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.411 | TFLOPs: 33.90 | 7: iteration 5870/ 11269 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.48 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 3.077762E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.883 | TFLOPs: 35.11 | 7: iteration 5880/ 11269 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.48 | learning rate: 1.052E-04 | global batch size: 256 | lm loss: 3.066060E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.827 | TFLOPs: 34.65 | 7: iteration 5890/ 11269 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.48 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 3.047990E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.529 | TFLOPs: 34.96 | 7: iteration 5900/ 11269 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.48 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 3.041354E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.965 | TFLOPs: 34.86 | 7: iteration 5910/ 11269 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.48 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 3.086613E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.388 | TFLOPs: 34.75 | 7: iteration 5920/ 11269 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 0.49 | learning rate: 1.042E-04 | global batch size: 256 | lm loss: 3.066828E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.128 | TFLOPs: 34.47 | 7: iteration 5930/ 11269 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 0.49 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 3.083417E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.353 | TFLOPs: 34.36 | 7: iteration 5940/ 11269 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.48 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 3.080331E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.982 | TFLOPs: 34.53 | 7: iteration 5950/ 11269 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.48 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 3.076603E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.798 | TFLOPs: 35.04 | 7: iteration 5960/ 11269 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.49 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 3.074554E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.792 | TFLOPs: 34.26 | 7: iteration 5970/ 11269 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.49 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 3.071013E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.987 | TFLOPs: 34.14 | 7: iteration 5980/ 11269 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.49 | learning rate: 1.027E-04 | global batch size: 256 | lm loss: 3.052682E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.146 | TFLOPs: 34.15 | 7: iteration 5990/ 11269 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.48 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 3.088480E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.469 | TFLOPs: 34.69 | 0: [2022-11-29 17:41:42,406] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00010217547488893524, 0.00010217547488893524, 0.00010217547488893524], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: steps: 6000 loss: 3.0177 iter time (s): 0.484 samples/sec: 529.059 7: iteration 6000/ 11269 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.48 | learning rate: 1.022E-04 | global batch size: 256 | lm loss: 3.058696E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.520 | TFLOPs: 34.89 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 2.953916E+00 | lm loss PPL: 1.918093E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_280moscar 0: [2022-11-29 17:41:42,602] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-29 17:41:42,606] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:41:42,719] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:41:42,719] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step6000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:41:42,745] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:41:42,746] 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0] Saving model checkpoint: checkpoints_280moscar/global_step6000/mp_rank_00_model_states.pt 0: [2022-11-29 17:41:43,166] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step6000/mp_rank_00_model_states.pt... 0: [2022-11-29 17:41:43,169] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/mp_rank_00_model_states.pt. 0: [2022-11-29 17:41:43,189] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:41:43,189] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:41:43,189] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:41:43,189] [INFO] 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checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt... 7: [2022-11-29 17:41:43,250] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:41:43,250] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 17:41:43,250] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-29 17:41:43,251] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,253] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,253] [INFO] [engine.py:3213:_save_zero_checkpoint] 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checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-29 17:41:43,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-29 17:41:43,256] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:41:43,256] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:41:43,256] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-29 17:41:43,256] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 17:41:43,256] [INFO] 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checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-29 17:41:43,257] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-29 17:41:43,257] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:41:43,258] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-29 17:41:43,258] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-29 17:41:43,258] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:41:43,258] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 17:41:43,258] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:41:43,258] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,258] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 17:41:43,258] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:41:43,259] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,259] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 17:41:43,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-29 17:41:43,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:41:43,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:41:43,260] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-29 17:41:43,260] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-29 17:41:43,260] [INFO] 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checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-29 17:41:43,262] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:41:43,262] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,262] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-29 17:41:43,262] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-29 17:41:43,263] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:41:43,263] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 17:41:43,267] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-29 17:41:43,267] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:41:43,267] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:41:43,267] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 17:41:43,267] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 17:41:43,267] [INFO] 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checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:41:43,268] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:41:43,268] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:41:43,268] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-29 17:41:43,268] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:41:43,268] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 17:41:43,269] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 2: [2022-11-29 17:41:43,264] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:41:43,264] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:41:43,264] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:41:43,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-29 17:41:43,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-29 17:41:43,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-29 17:41:43,264] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 2: [2022-11-29 17:41:43,264] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 2: [2022-11-29 17:41:43,264] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-29 17:41:43,272] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:41:43,272] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 17:41:43,272] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-29 17:41:43,251] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:41:43,258] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:41:43,258] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 17:41:43,258] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:41:43,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:41:43,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:41:43,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:41:43,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:41:43,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:41:43,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-29 17:41:43,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:41:43,282] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:41:43,282] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-29 17:41:43,282] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:41:43,283] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:41:43,283] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 17:41:43,283] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:41:43,283] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:41:43,283] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-29 17:41:43,283] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-29 17:41:43,285] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:41:43,285] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 17:41:43,285] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-29 17:41:43,251] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 17:41:43,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-29 17:41:43,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:41:43,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:41:43,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:41:43,260] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-29 17:41:43,260] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:41:43,260] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-29 17:41:43,260] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 17:41:43,260] [INFO] 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checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:41:43,260] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:41:43,261] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:41:43,261] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-29 17:41:43,261] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:41:43,261] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:41:43,261] [INFO] 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checkpoint at iteration 6000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 721.95 7: iteration 6010/ 11269 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.58 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 3.074790E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.896 | TFLOPs: 29.10 | 7: iteration 6020/ 11269 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.48 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 3.082388E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.769 | TFLOPs: 34.91 | 7: iteration 6030/ 11269 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.47 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 3.092185E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.395 | TFLOPs: 35.41 | 7: iteration 6040/ 11269 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.48 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 3.041357E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.031 | TFLOPs: 34.73 | 7: iteration 6050/ 11269 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.48 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 3.042415E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.752 | TFLOPs: 34.91 | 7: iteration 6060/ 11269 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.49 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 3.058877E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.301 | TFLOPs: 34.29 | 7: iteration 6070/ 11269 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.48 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 3.087601E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.978 | TFLOPs: 35.05 | 7: iteration 6080/ 11269 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.48 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 3.043071E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.187 | TFLOPs: 35.13 | 7: iteration 6090/ 11269 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.49 | learning rate: 9.991E-05 | global batch size: 256 | lm loss: 3.107035E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.755 | TFLOPs: 34.19 | 7: iteration 6100/ 11269 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.48 | learning rate: 9.965E-05 | global batch size: 256 | lm loss: 3.067079E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.337 | TFLOPs: 34.75 | 7: iteration 6110/ 11269 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.48 | learning rate: 9.940E-05 | global batch size: 256 | lm loss: 3.078067E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.060 | TFLOPs: 34.60 | 7: iteration 6120/ 11269 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.48 | learning rate: 9.915E-05 | global batch size: 256 | lm loss: 3.059985E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.227 | TFLOPs: 34.68 | 7: iteration 6130/ 11269 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.48 | learning rate: 9.890E-05 | global batch size: 256 | lm loss: 3.055671E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.670 | TFLOPs: 34.97 | 7: iteration 6140/ 11269 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.48 | learning rate: 9.865E-05 | global batch size: 256 | lm loss: 3.032620E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.950 | TFLOPs: 34.59 | 7: iteration 6150/ 11269 | consumed samples: 1574400 | 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6180/ 11269 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.48 | learning rate: 9.764E-05 | global batch size: 256 | lm loss: 3.065916E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.771 | TFLOPs: 34.84 | 7: iteration 6190/ 11269 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.48 | learning rate: 9.739E-05 | global batch size: 256 | lm loss: 3.043438E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.530 | TFLOPs: 34.63 | 7: iteration 6200/ 11269 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.47 | learning rate: 9.714E-05 | global batch size: 256 | lm loss: 3.056389E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.452 | TFLOPs: 35.41 | 7: iteration 6210/ 11269 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.49 | learning rate: 9.689E-05 | global batch size: 256 | lm loss: 3.029701E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.964 | TFLOPs: 34.20 | 7: iteration 6220/ 11269 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.47 | learning rate: 9.664E-05 | global batch size: 256 | lm loss: 3.071566E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.893 | TFLOPs: 35.31 | 7: iteration 6230/ 11269 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.48 | learning rate: 9.639E-05 | global batch size: 256 | lm loss: 3.052189E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.511 | TFLOPs: 35.09 | 7: iteration 6240/ 11269 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 0.54 | learning rate: 9.614E-05 | global batch size: 256 | lm loss: 3.049375E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 473.361 | TFLOPs: 30.96 | 7: iteration 6250/ 11269 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.48 | learning rate: 9.589E-05 | global batch size: 256 | lm loss: 3.052546E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.089 | TFLOPs: 34.54 | 7: iteration 6260/ 11269 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.48 | learning rate: 9.564E-05 | global batch size: 256 | lm loss: 3.064846E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.974 | TFLOPs: 34.99 | 7: iteration 6270/ 11269 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.48 | learning rate: 9.539E-05 | global batch size: 256 | lm loss: 3.075937E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.620 | TFLOPs: 34.64 | 7: iteration 6280/ 11269 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.51 | learning rate: 9.514E-05 | global batch size: 256 | lm loss: 3.042408E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 506.916 | TFLOPs: 33.15 | 7: iteration 6290/ 11269 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.49 | learning rate: 9.489E-05 | global batch size: 256 | lm loss: 3.046255E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.544 | TFLOPs: 34.31 | 7: iteration 6300/ 11269 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.49 | learning rate: 9.464E-05 | global batch size: 256 | lm loss: 3.058287E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.871 | TFLOPs: 34.33 | 7: iteration 6310/ 11269 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.48 | learning rate: 9.439E-05 | global batch size: 256 | lm loss: 3.032653E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.782 | TFLOPs: 34.65 | 7: iteration 6320/ 11269 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.48 | learning rate: 9.414E-05 | global batch size: 256 | lm loss: 3.035754E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.252 | TFLOPs: 35.07 | 7: iteration 6330/ 11269 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.50 | learning rate: 9.389E-05 | global batch size: 256 | lm loss: 3.034783E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.545 | TFLOPs: 33.78 | 7: iteration 6340/ 11269 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.48 | learning rate: 9.364E-05 | global batch size: 256 | lm loss: 3.043350E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.750 | TFLOPs: 34.84 | 7: iteration 6350/ 11269 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.48 | learning rate: 9.339E-05 | global batch size: 256 | lm loss: 3.072782E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.976 | TFLOPs: 34.86 | 7: iteration 6360/ 11269 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 0.48 | learning rate: 9.314E-05 | global batch size: 256 | lm loss: 3.025561E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.896 | TFLOPs: 34.98 | 7: iteration 6370/ 11269 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.48 | learning rate: 9.289E-05 | global batch size: 256 | lm loss: 3.047623E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.161 | TFLOPs: 35.13 | 7: iteration 6380/ 11269 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 0.48 | learning rate: 9.264E-05 | global batch size: 256 | lm loss: 3.042932E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.054 | TFLOPs: 34.93 | 7: iteration 6390/ 11269 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.49 | learning rate: 9.240E-05 | global batch size: 256 | lm loss: 3.048637E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.717 | TFLOPs: 33.86 | 7: iteration 6400/ 11269 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.49 | learning rate: 9.215E-05 | global batch size: 256 | lm loss: 3.070885E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.909 | TFLOPs: 33.87 | 7: iteration 6410/ 11269 | consumed samples: 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iteration 6440/ 11269 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.50 | learning rate: 9.115E-05 | global batch size: 256 | lm loss: 3.047850E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.801 | TFLOPs: 33.41 | 7: iteration 6450/ 11269 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 0.48 | learning rate: 9.091E-05 | global batch size: 256 | lm loss: 3.056570E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.101 | TFLOPs: 35.00 | 7: iteration 6460/ 11269 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 0.48 | learning rate: 9.066E-05 | global batch size: 256 | lm loss: 3.045737E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.547 | TFLOPs: 34.76 | 7: iteration 6470/ 11269 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.48 | learning rate: 9.041E-05 | global batch size: 256 | lm loss: 3.070866E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.293 | TFLOPs: 34.62 | 7: iteration 6480/ 11269 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.49 | learning rate: 9.016E-05 | global batch size: 256 | lm loss: 3.042868E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.679 | TFLOPs: 34.31 | 7: iteration 6490/ 11269 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.52 | learning rate: 8.992E-05 | global batch size: 256 | lm loss: 3.049438E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 494.894 | TFLOPs: 32.37 | 7: iteration 6500/ 11269 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.48 | learning rate: 8.967E-05 | global batch size: 256 | lm loss: 3.045595E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.874 | TFLOPs: 34.65 | 7: iteration 6510/ 11269 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.49 | learning rate: 8.942E-05 | global batch size: 256 | lm loss: 3.029402E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.600 | TFLOPs: 34.31 | 7: iteration 6520/ 11269 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 0.48 | learning rate: 8.918E-05 | global batch size: 256 | lm loss: 3.033430E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.929 | TFLOPs: 35.25 | 7: iteration 6530/ 11269 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.49 | learning rate: 8.893E-05 | global batch size: 256 | lm loss: 3.011537E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.388 | TFLOPs: 34.49 | 7: iteration 6540/ 11269 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.48 | learning rate: 8.868E-05 | global batch size: 256 | lm loss: 3.026364E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.804 | TFLOPs: 34.58 | 7: iteration 6550/ 11269 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.48 | learning rate: 8.844E-05 | global batch size: 256 | lm loss: 3.048631E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.823 | TFLOPs: 34.98 | 7: iteration 6560/ 11269 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.49 | learning rate: 8.819E-05 | global batch size: 256 | lm loss: 3.024204E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.696 | TFLOPs: 34.05 | 7: iteration 6570/ 11269 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.48 | learning rate: 8.795E-05 | global batch size: 256 | lm loss: 3.029959E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.101 | TFLOPs: 35.13 | 7: iteration 6580/ 11269 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.48 | learning rate: 8.770E-05 | global batch size: 256 | lm loss: 3.055942E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.890 | TFLOPs: 34.79 | 7: iteration 6590/ 11269 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.49 | learning rate: 8.746E-05 | global batch size: 256 | lm loss: 3.045466E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.669 | TFLOPs: 33.92 | 7: iteration 6600/ 11269 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.48 | learning rate: 8.721E-05 | global batch size: 256 | lm loss: 3.074398E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.740 | TFLOPs: 34.64 | 7: iteration 6610/ 11269 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.48 | learning rate: 8.697E-05 | global batch size: 256 | lm loss: 3.049190E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.646 | TFLOPs: 34.90 | 7: iteration 6620/ 11269 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.48 | learning rate: 8.672E-05 | global batch size: 256 | lm loss: 3.017346E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.124 | TFLOPs: 35.00 | 7: iteration 6630/ 11269 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.48 | learning rate: 8.648E-05 | global batch size: 256 | lm loss: 3.043756E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.961 | TFLOPs: 35.12 | 7: iteration 6640/ 11269 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.49 | learning rate: 8.623E-05 | global batch size: 256 | lm loss: 3.025374E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.633 | TFLOPs: 34.31 | 7: iteration 6650/ 11269 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.48 | learning rate: 8.599E-05 | global batch size: 256 | lm loss: 3.031068E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.101 | TFLOPs: 34.86 | 7: iteration 6660/ 11269 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.48 | learning rate: 8.574E-05 | global batch size: 256 | lm loss: 3.050808E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.512 | TFLOPs: 34.83 | 7: iteration 6670/ 11269 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.47 | learning rate: 8.550E-05 | global batch size: 256 | lm loss: 3.031379E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.095 | TFLOPs: 35.32 | 7: iteration 6680/ 11269 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.48 | learning rate: 8.525E-05 | global batch size: 256 | lm loss: 3.041650E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.812 | TFLOPs: 35.17 | 7: iteration 6690/ 11269 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.48 | learning rate: 8.501E-05 | global batch size: 256 | lm loss: 3.041671E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.380 | TFLOPs: 34.88 | 7: iteration 6700/ 11269 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.48 | learning rate: 8.477E-05 | global batch size: 256 | lm loss: 3.019928E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.263 | TFLOPs: 35.20 | 7: iteration 6710/ 11269 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.48 | learning rate: 8.452E-05 | global batch size: 256 | lm loss: 3.045275E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.290 | TFLOPs: 34.55 | 7: iteration 6720/ 11269 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.50 | learning rate: 8.428E-05 | global batch size: 256 | lm loss: 3.019716E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.041 | TFLOPs: 33.75 | 7: iteration 6730/ 11269 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 0.49 | learning rate: 8.404E-05 | global batch size: 256 | lm loss: 3.036318E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.921 | TFLOPs: 34.46 | 7: iteration 6740/ 11269 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.48 | learning rate: 8.380E-05 | global batch size: 256 | lm loss: 3.050341E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.053 | TFLOPs: 34.99 | 7: iteration 6750/ 11269 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.48 | learning rate: 8.355E-05 | global batch size: 256 | lm loss: 3.048076E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.539 | TFLOPs: 34.89 | 7: iteration 6760/ 11269 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 0.48 | learning rate: 8.331E-05 | global batch size: 256 | lm loss: 3.029926E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.607 | TFLOPs: 35.16 | 7: iteration 6770/ 11269 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 0.47 | learning rate: 8.307E-05 | global batch size: 256 | lm loss: 3.063436E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.076 | TFLOPs: 35.32 | 7: iteration 6780/ 11269 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 0.48 | learning rate: 8.283E-05 | global batch size: 256 | lm loss: 3.010662E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.563 | TFLOPs: 34.89 | 7: iteration 6790/ 11269 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 0.48 | learning rate: 8.259E-05 | global batch size: 256 | lm loss: 3.024159E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.698 | TFLOPs: 34.97 | 7: iteration 6800/ 11269 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.49 | learning rate: 8.235E-05 | global batch size: 256 | lm loss: 3.077055E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.482 | TFLOPs: 34.30 | 7: iteration 6810/ 11269 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 0.48 | learning rate: 8.210E-05 | global batch size: 256 | lm loss: 3.006493E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.842 | TFLOPs: 34.91 | 7: iteration 6820/ 11269 | consumed samples: 1745920 | consumed tokens: 3575644160 | elapsed time per iteration (s): 0.48 | learning rate: 8.186E-05 | global batch size: 256 | lm loss: 3.041565E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.352 | TFLOPs: 34.82 | 7: iteration 6830/ 11269 | consumed samples: 1748480 | consumed tokens: 3580887040 | elapsed time per iteration (s): 0.47 | learning rate: 8.162E-05 | global batch size: 256 | lm loss: 3.034169E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.896 | TFLOPs: 35.31 | 7: iteration 6840/ 11269 | consumed samples: 1751040 | consumed tokens: 3586129920 | elapsed time per iteration (s): 0.47 | 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elapsed time per iteration (s): 0.48 | learning rate: 8.066E-05 | global batch size: 256 | lm loss: 3.013862E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.881 | TFLOPs: 34.78 | 7: iteration 6880/ 11269 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 0.48 | learning rate: 8.042E-05 | global batch size: 256 | lm loss: 3.010849E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.545 | TFLOPs: 34.89 | 7: iteration 6890/ 11269 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 0.49 | learning rate: 8.018E-05 | global batch size: 256 | lm loss: 3.034126E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.028 | TFLOPs: 34.14 | 7: iteration 6900/ 11269 | consumed samples: 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iteration 6930/ 11269 | consumed samples: 1774080 | consumed tokens: 3633315840 | elapsed time per iteration (s): 0.48 | learning rate: 7.923E-05 | global batch size: 256 | lm loss: 3.017269E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.608 | TFLOPs: 34.77 | 7: iteration 6940/ 11269 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 0.48 | learning rate: 7.899E-05 | global batch size: 256 | lm loss: 3.011263E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.061 | TFLOPs: 34.86 | 7: iteration 6950/ 11269 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.49 | learning rate: 7.875E-05 | global batch size: 256 | lm loss: 3.031565E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.422 | TFLOPs: 34.43 | 7: iteration 6960/ 11269 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.47 | learning rate: 7.852E-05 | global batch size: 256 | lm loss: 3.002994E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.752 | TFLOPs: 35.30 | 7: iteration 6970/ 11269 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.48 | learning rate: 7.828E-05 | global batch size: 256 | lm loss: 3.019741E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.954 | TFLOPs: 34.79 | 7: iteration 6980/ 11269 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.48 | learning rate: 7.804E-05 | global batch size: 256 | lm loss: 2.980466E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.176 | TFLOPs: 34.80 | 7: iteration 6990/ 11269 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.48 | learning rate: 7.780E-05 | global batch size: 256 | lm loss: 3.009328E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.760 | TFLOPs: 34.65 | 7: iteration 7000/ 11269 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.48 | learning rate: 7.757E-05 | global batch size: 256 | lm loss: 3.025553E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.046 | TFLOPs: 35.19 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 2.911196E+00 | lm loss PPL: 1.837876E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_280moscar 0: [2022-11-29 17:49:47,525] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-29 17:49:47,529] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:49:47,642] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:49:47,642] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step7000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:49:47,668] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:49:47,669] [INFO] [torch_checkpoint_engine.py:15:save] 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7: [2022-11-29 17:49:48,212] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 17:49:48,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-29 17:49:48,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-29 17:49:48,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-29 17:49:48,212] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-29 17:49:48,187] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:49:48,187] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:49:48,188] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:49:48,188] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-29 17:49:48,188] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:49:48,188] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 17:49:48,189] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-29 17:49:48,189] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:49:48,189] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 17:49:48,189] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-29 17:49:48,194] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:49:48,194] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-29 17:49:48,194] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 3: [2022-11-29 17:49:48,201] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:49:48,201] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:49:48,201] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:49:48,234] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:49:48,234] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 17:49:48,234] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-29 17:49:48,234] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-29 17:49:48,234] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-29 17:49:48,268] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:49:48,268] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 749.29 7: iteration 7010/ 11269 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.57 | learning rate: 7.733E-05 | global batch size: 256 | lm loss: 3.038550E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.587 | TFLOPs: 29.14 | 7: iteration 7020/ 11269 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.48 | learning rate: 7.710E-05 | global batch size: 256 | lm loss: 3.017143E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.596 | TFLOPs: 34.83 | 7: iteration 7030/ 11269 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.48 | learning rate: 7.686E-05 | global batch size: 256 | lm loss: 3.023853E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.661 | TFLOPs: 34.90 | 7: iteration 7040/ 11269 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.48 | learning rate: 7.662E-05 | global batch size: 256 | lm loss: 3.025972E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.484 | TFLOPs: 34.69 | 7: iteration 7050/ 11269 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.48 | learning rate: 7.639E-05 | global batch size: 256 | lm loss: 3.032664E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.368 | TFLOPs: 35.14 | 7: iteration 7060/ 11269 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.47 | learning rate: 7.615E-05 | global batch size: 256 | lm loss: 3.040195E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.455 | TFLOPs: 35.35 | 7: iteration 7070/ 11269 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.48 | learning rate: 7.592E-05 | global batch size: 256 | lm loss: 2.997417E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.420 | TFLOPs: 34.95 | 7: iteration 7080/ 11269 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.48 | learning rate: 7.569E-05 | global batch size: 256 | lm loss: 3.018037E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.068 | TFLOPs: 35.06 | 7: iteration 7090/ 11269 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.48 | learning rate: 7.545E-05 | global batch size: 256 | lm loss: 3.017728E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.153 | TFLOPs: 34.87 | 7: iteration 7100/ 11269 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.49 | learning rate: 7.522E-05 | global batch size: 256 | lm loss: 3.016155E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.333 | TFLOPs: 34.29 | 7: iteration 7110/ 11269 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.48 | learning rate: 7.498E-05 | global batch size: 256 | lm loss: 3.032949E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.765 | TFLOPs: 35.17 | 7: iteration 7120/ 11269 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.48 | learning rate: 7.475E-05 | global batch size: 256 | lm loss: 3.036119E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.521 | TFLOPs: 34.89 | 7: iteration 7130/ 11269 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.49 | learning rate: 7.452E-05 | global batch size: 256 | lm loss: 3.038700E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.930 | TFLOPs: 34.20 | 7: iteration 7140/ 11269 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.48 | learning rate: 7.428E-05 | global batch size: 256 | lm loss: 3.026126E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.900 | TFLOPs: 34.59 | 7: iteration 7150/ 11269 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.48 | learning rate: 7.405E-05 | global batch size: 256 | lm loss: 3.034135E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.884 | TFLOPs: 34.72 | 7: iteration 7160/ 11269 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.48 | learning rate: 7.382E-05 | global batch size: 256 | lm loss: 3.011906E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.149 | TFLOPs: 34.61 | 7: iteration 7170/ 11269 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.49 | learning rate: 7.359E-05 | global batch size: 256 | lm loss: 3.004256E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.374 | TFLOPs: 34.29 | 7: iteration 7180/ 11269 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.48 | learning rate: 7.336E-05 | global batch size: 256 | lm loss: 3.013455E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.328 | TFLOPs: 34.68 | 7: iteration 7190/ 11269 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.48 | learning rate: 7.313E-05 | global batch size: 256 | lm loss: 3.038618E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.726 | TFLOPs: 34.84 | 7: iteration 7200/ 11269 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.48 | learning rate: 7.289E-05 | global batch size: 256 | lm loss: 2.975939E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.092 | TFLOPs: 34.54 | 7: iteration 7210/ 11269 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.50 | learning rate: 7.266E-05 | global batch size: 256 | lm loss: 3.041520E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 508.225 | TFLOPs: 33.24 | 7: iteration 7220/ 11269 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.49 | learning rate: 7.243E-05 | global batch size: 256 | lm loss: 3.018927E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.789 | TFLOPs: 34.19 | 7: iteration 7230/ 11269 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.48 | learning rate: 7.220E-05 | global batch size: 256 | lm loss: 3.012043E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.623 | TFLOPs: 34.83 | 7: iteration 7240/ 11269 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.48 | learning rate: 7.197E-05 | global batch size: 256 | lm loss: 2.997097E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.423 | TFLOPs: 35.08 | 7: iteration 7250/ 11269 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.49 | learning rate: 7.174E-05 | global batch size: 256 | lm loss: 3.024489E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.954 | TFLOPs: 34.40 | 7: iteration 7260/ 11269 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.55 | learning rate: 7.151E-05 | global batch size: 256 | lm loss: 3.005846E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 464.050 | TFLOPs: 30.35 | 7: iteration 7270/ 11269 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.48 | learning rate: 7.129E-05 | global batch size: 256 | lm loss: 3.030543E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.248 | TFLOPs: 35.07 | 7: iteration 7280/ 11269 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.48 | learning rate: 7.106E-05 | global batch size: 256 | lm loss: 2.995080E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.321 | TFLOPs: 34.68 | 7: iteration 7290/ 11269 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.47 | learning rate: 7.083E-05 | global batch size: 256 | lm loss: 3.009303E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.816 | TFLOPs: 35.37 | 7: iteration 7300/ 11269 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.48 | learning rate: 7.060E-05 | global batch size: 256 | lm loss: 3.028093E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.570 | TFLOPs: 34.76 | 7: iteration 7310/ 11269 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.48 | learning rate: 7.037E-05 | global batch size: 256 | lm loss: 3.016205E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.442 | TFLOPs: 34.63 | 7: iteration 7320/ 11269 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.48 | learning rate: 7.014E-05 | global batch size: 256 | lm loss: 3.015342E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.214 | TFLOPs: 35.00 | 7: iteration 7330/ 11269 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.48 | learning rate: 6.992E-05 | global batch size: 256 | lm loss: 3.002710E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.224 | TFLOPs: 35.13 | 7: iteration 7340/ 11269 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.48 | learning rate: 6.969E-05 | global batch size: 256 | lm loss: 2.992717E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.619 | TFLOPs: 34.83 | 7: iteration 7350/ 11269 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.48 | learning rate: 6.946E-05 | global batch size: 256 | lm loss: 3.041384E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.672 | TFLOPs: 34.77 | 7: iteration 7360/ 11269 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.48 | learning rate: 6.924E-05 | global batch size: 256 | lm loss: 3.032174E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.020 | TFLOPs: 35.12 | 7: iteration 7370/ 11269 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.48 | learning rate: 6.901E-05 | global batch size: 256 | lm loss: 2.999604E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.197 | TFLOPs: 35.13 | 7: iteration 7380/ 11269 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.47 | learning rate: 6.879E-05 | global batch size: 256 | lm loss: 3.003503E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.130 | TFLOPs: 35.32 | 7: 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second: 536.341 | TFLOPs: 35.08 | 7: iteration 7420/ 11269 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.48 | learning rate: 6.789E-05 | global batch size: 256 | lm loss: 3.005012E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.262 | TFLOPs: 34.61 | 7: iteration 7430/ 11269 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.48 | learning rate: 6.766E-05 | global batch size: 256 | lm loss: 3.008517E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.483 | TFLOPs: 35.09 | 7: iteration 7440/ 11269 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.48 | learning rate: 6.744E-05 | global batch size: 256 | lm loss: 3.006135E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.205 | TFLOPs: 34.87 | 7: iteration 7450/ 11269 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.48 | learning rate: 6.722E-05 | global batch size: 256 | lm loss: 3.016244E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.129 | TFLOPs: 35.00 | 7: iteration 7460/ 11269 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.48 | learning rate: 6.700E-05 | global batch size: 256 | lm loss: 3.021980E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.720 | TFLOPs: 35.17 | 7: iteration 7470/ 11269 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.47 | learning rate: 6.677E-05 | global batch size: 256 | lm loss: 3.001615E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 542.264 | TFLOPs: 35.46 | 7: iteration 7480/ 11269 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 0.47 | learning rate: 6.655E-05 | global batch size: 256 | lm loss: 2.979653E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.797 | TFLOPs: 35.37 | 7: iteration 7490/ 11269 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 0.48 | learning rate: 6.633E-05 | global batch size: 256 | lm loss: 2.998870E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.523 | TFLOPs: 34.96 | 7: iteration 7500/ 11269 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 0.48 | learning rate: 6.611E-05 | global batch size: 256 | lm loss: 3.013471E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.908 | TFLOPs: 35.18 | 7: iteration 7510/ 11269 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 0.48 | learning rate: 6.589E-05 | global batch size: 256 | lm loss: 2.999314E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.688 | TFLOPs: 35.10 | 7: iteration 7520/ 11269 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 0.48 | learning rate: 6.567E-05 | global batch size: 256 | lm loss: 3.009971E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.373 | TFLOPs: 34.95 | 7: iteration 7530/ 11269 | consumed samples: 1927680 | consumed tokens: 3947888640 | elapsed time per iteration (s): 0.49 | learning rate: 6.545E-05 | global batch size: 256 | lm loss: 3.002436E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.992 | TFLOPs: 34.47 | 7: iteration 7540/ 11269 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.48 | learning rate: 6.523E-05 | global batch size: 256 | lm loss: 3.017666E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.074 | TFLOPs: 34.86 | 7: iteration 7550/ 11269 | consumed samples: 1932800 | consumed tokens: 3958374400 | elapsed time per iteration (s): 0.48 | learning rate: 6.501E-05 | global batch size: 256 | lm loss: 3.007270E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.557 | TFLOPs: 35.09 | 7: iteration 7560/ 11269 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.48 | learning rate: 6.479E-05 | global batch size: 256 | lm loss: 2.994733E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.845 | TFLOPs: 34.78 | 7: iteration 7570/ 11269 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.49 | learning rate: 6.457E-05 | global batch size: 256 | lm loss: 3.009362E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.918 | TFLOPs: 34.33 | 7: iteration 7580/ 11269 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.47 | learning rate: 6.435E-05 | global batch size: 256 | lm loss: 3.004095E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.737 | TFLOPs: 35.30 | 7: iteration 7590/ 11269 | consumed samples: 1943040 | consumed 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consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 0.48 | learning rate: 6.348E-05 | global batch size: 256 | lm loss: 2.994912E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.573 | TFLOPs: 35.03 | 7: iteration 7630/ 11269 | consumed samples: 1953280 | consumed tokens: 4000317440 | elapsed time per iteration (s): 0.48 | learning rate: 6.326E-05 | global batch size: 256 | lm loss: 3.001226E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.327 | TFLOPs: 34.81 | 7: iteration 7640/ 11269 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 0.47 | learning rate: 6.305E-05 | global batch size: 256 | lm loss: 2.999415E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.954 | TFLOPs: 35.31 | 7: iteration 7650/ 11269 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.48 | learning rate: 6.283E-05 | global batch size: 256 | lm loss: 3.013126E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.520 | TFLOPs: 34.83 | 7: iteration 7660/ 11269 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.48 | learning rate: 6.261E-05 | global batch size: 256 | lm loss: 3.021244E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.001 | TFLOPs: 34.66 | 7: iteration 7670/ 11269 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.48 | learning rate: 6.240E-05 | global batch size: 256 | lm loss: 3.017241E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.257 | TFLOPs: 35.07 | 7: iteration 7680/ 11269 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.50 | learning rate: 6.218E-05 | global batch size: 256 | lm loss: 2.987546E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.096 | TFLOPs: 33.69 | 7: iteration 7690/ 11269 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.53 | learning rate: 6.197E-05 | global batch size: 256 | lm loss: 2.970198E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 485.038 | TFLOPs: 31.72 | 7: iteration 7700/ 11269 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.48 | learning rate: 6.175E-05 | global batch size: 256 | lm loss: 2.995350E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.020 | TFLOPs: 34.66 | 7: iteration 7710/ 11269 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 0.49 | learning rate: 6.154E-05 | global batch size: 256 | lm loss: 2.991755E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.038 | TFLOPs: 33.88 | 7: iteration 7720/ 11269 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 0.50 | learning rate: 6.133E-05 | global batch size: 256 | lm loss: 2.983722E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.639 | TFLOPs: 33.59 | 7: iteration 7730/ 11269 | consumed samples: 1978880 | consumed tokens: 4052746240 | elapsed time per iteration (s): 0.55 | learning rate: 6.111E-05 | global batch size: 256 | lm loss: 3.001809E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 467.888 | TFLOPs: 30.60 | 7: iteration 7740/ 11269 | consumed samples: 1981440 | consumed tokens: 4057989120 | elapsed time per iteration (s): 0.48 | learning rate: 6.090E-05 | global batch size: 256 | lm loss: 3.004176E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.209 | TFLOPs: 34.61 | 7: iteration 7750/ 11269 | consumed samples: 1984000 | consumed tokens: 4063232000 | elapsed time per iteration (s): 0.62 | learning rate: 6.069E-05 | global batch size: 256 | lm loss: 2.990205E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 409.989 | TFLOPs: 26.81 | 7: iteration 7760/ 11269 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 0.50 | learning rate: 6.048E-05 | global batch size: 256 | lm loss: 2.990937E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 508.862 | TFLOPs: 33.28 | 7: iteration 7770/ 11269 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 0.63 | learning rate: 6.027E-05 | global batch size: 256 | lm loss: 2.964997E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 407.022 | TFLOPs: 26.62 | 7: iteration 7780/ 11269 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 0.48 | learning rate: 6.006E-05 | global batch size: 256 | lm loss: 2.979988E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.854 | TFLOPs: 34.72 | 7: iteration 7790/ 11269 | consumed samples: 1994240 | consumed tokens: 4084203520 | elapsed time per iteration (s): 0.48 | learning rate: 5.984E-05 | global batch size: 256 | lm loss: 2.985297E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.408 | TFLOPs: 34.62 | 7: iteration 7800/ 11269 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 0.48 | learning rate: 5.963E-05 | global batch size: 256 | lm loss: 3.001847E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.827 | TFLOPs: 34.85 | 7: iteration 7810/ 11269 | consumed samples: 1999360 | consumed tokens: 4094689280 | elapsed time per iteration (s): 0.48 | learning rate: 5.942E-05 | global batch size: 256 | lm loss: 2.959864E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.357 | TFLOPs: 34.88 | 7: iteration 7820/ 11269 | consumed samples: 2001920 | consumed tokens: 4099932160 | elapsed time per iteration (s): 0.48 | learning rate: 5.922E-05 | global batch size: 256 | lm loss: 3.006787E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.495 | TFLOPs: 34.56 | 7: iteration 7830/ 11269 | consumed samples: 2004480 | consumed tokens: 4105175040 | elapsed time per iteration (s): 0.49 | learning rate: 5.901E-05 | global batch size: 256 | lm loss: 2.989177E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.784 | TFLOPs: 34.45 | 7: iteration 7840/ 11269 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 0.50 | learning rate: 5.880E-05 | global batch size: 256 | lm loss: 2.994634E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.663 | TFLOPs: 33.79 | 7: iteration 7850/ 11269 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.48 | learning rate: 5.859E-05 | global batch size: 256 | lm loss: 3.016131E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.194 | TFLOPs: 34.81 | 7: iteration 7860/ 11269 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 0.49 | learning rate: 5.838E-05 | global batch size: 256 | lm loss: 2.997942E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.147 | TFLOPs: 34.34 | 7: iteration 7870/ 11269 | consumed samples: 2014720 | consumed tokens: 4126146560 | elapsed time per iteration (s): 0.48 | learning rate: 5.817E-05 | global batch size: 256 | lm loss: 2.961773E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.288 | TFLOPs: 34.55 | 7: iteration 7880/ 11269 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 0.49 | learning rate: 5.797E-05 | global batch size: 256 | lm loss: 2.994559E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.063 | TFLOPs: 34.34 | 7: iteration 7890/ 11269 | consumed samples: 2019840 | consumed tokens: 4136632320 | elapsed time per iteration (s): 0.48 | learning rate: 5.776E-05 | global batch size: 256 | lm loss: 3.005396E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.824 | TFLOPs: 34.58 | 7: iteration 7900/ 11269 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 0.52 | learning rate: 5.755E-05 | global batch size: 256 | lm loss: 2.962813E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 489.020 | TFLOPs: 31.98 | 7: iteration 7910/ 11269 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 0.48 | learning rate: 5.735E-05 | global batch size: 256 | lm loss: 3.018574E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.161 | TFLOPs: 34.80 | 7: iteration 7920/ 11269 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.48 | learning rate: 5.714E-05 | global batch size: 256 | lm loss: 2.957793E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.663 | TFLOPs: 34.57 | 7: iteration 7930/ 11269 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.49 | learning rate: 5.694E-05 | global batch size: 256 | lm loss: 2.976242E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.919 | TFLOPs: 34.07 | 7: iteration 7940/ 11269 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.48 | learning rate: 5.673E-05 | global batch size: 256 | lm loss: 2.984461E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.687 | TFLOPs: 35.10 | 7: iteration 7950/ 11269 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.48 | learning rate: 5.653E-05 | global batch size: 256 | lm loss: 2.994479E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.812 | TFLOPs: 34.58 | 7: iteration 7960/ 11269 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.50 | learning rate: 5.633E-05 | global batch size: 256 | lm loss: 2.992779E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.535 | TFLOPs: 33.45 | 7: iteration 7970/ 11269 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.48 | learning rate: 5.612E-05 | global batch size: 256 | lm loss: 3.004975E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.351 | TFLOPs: 34.62 | 7: iteration 7980/ 11269 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.49 | learning rate: 5.592E-05 | global batch size: 256 | lm loss: 2.985022E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.011 | TFLOPs: 34.20 | 7: iteration 7990/ 11269 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.50 | learning rate: 5.572E-05 | global batch size: 256 | lm loss: 2.992132E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.035 | TFLOPs: 33.62 | 0: [2022-11-29 17:57:55,865] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[5.551588445114958e-05, 5.551588445114958e-05, 5.551588445114958e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: steps: 8000 loss: 2.9897 iter time (s): 0.482 samples/sec: 530.622 7: iteration 8000/ 11269 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.49 | learning rate: 5.552E-05 | global batch size: 256 | lm loss: 2.966776E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.276 | TFLOPs: 34.16 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 3.019589E+00 | lm loss PPL: 2.048288E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_280moscar 0: [2022-11-29 17:57:56,142] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-29 17:57:56,220] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step8000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:57:56,585] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:57:56,586] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step8000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:57:56,612] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:57:56,612] [INFO] [torch_checkpoint_engine.py:15:save] 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saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-29 17:57:57,257] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2022-11-29 17:57:57,257] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2022-11-29 17:57:57,257] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2022-11-29 17:57:57,258] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:57:57,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:57:57,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-29 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[2022-11-29 17:57:57,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:57:57,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:57:57,258] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:57:57,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 2: [2022-11-29 17:57:57,258] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 1: [2022-11-29 17:57:57,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-29 17:57:57,368] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 17:57:57,368] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 17:57:57,368] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step8000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 17:57:57,368] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 7: [2022-11-29 17:57:57,368] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 7: [2022-11-29 17:57:57,368] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint 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| number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 407.941 | TFLOPs: 26.68 | 7: iteration 8020/ 11269 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.49 | learning rate: 5.511E-05 | global batch size: 256 | lm loss: 2.976128E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.443 | TFLOPs: 34.23 | 7: iteration 8030/ 11269 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.48 | learning rate: 5.491E-05 | global batch size: 256 | lm loss: 2.974393E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.545 | TFLOPs: 35.16 | 7: iteration 8040/ 11269 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 0.49 | learning rate: 5.471E-05 | global batch size: 256 | lm loss: 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5.411E-05 | global batch size: 256 | lm loss: 3.023498E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.660 | TFLOPs: 34.57 | 7: iteration 8080/ 11269 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.48 | learning rate: 5.392E-05 | global batch size: 256 | lm loss: 2.968235E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.110 | TFLOPs: 35.19 | 7: iteration 8090/ 11269 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.49 | learning rate: 5.372E-05 | global batch size: 256 | lm loss: 2.960740E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.438 | TFLOPs: 34.43 | 7: iteration 8100/ 11269 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 0.49 | learning rate: 5.352E-05 | global batch size: 256 | lm loss: 2.981493E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.968 | TFLOPs: 34.27 | 7: iteration 8110/ 11269 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 0.48 | learning rate: 5.332E-05 | global batch size: 256 | lm loss: 2.980529E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.812 | TFLOPs: 34.71 | 7: iteration 8120/ 11269 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 0.48 | learning rate: 5.313E-05 | global batch size: 256 | lm loss: 3.000121E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.298 | TFLOPs: 34.75 | 7: iteration 8130/ 11269 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.48 | learning rate: 5.293E-05 | global batch size: 256 | lm loss: 2.966172E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.109 | TFLOPs: 34.67 | 7: iteration 8140/ 11269 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.52 | learning rate: 5.273E-05 | global batch size: 256 | lm loss: 2.953363E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 495.636 | TFLOPs: 32.41 | 7: iteration 8150/ 11269 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.49 | learning rate: 5.254E-05 | global batch size: 256 | lm loss: 3.007117E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.812 | TFLOPs: 33.93 | 7: iteration 8160/ 11269 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.48 | learning rate: 5.234E-05 | global batch size: 256 | lm loss: 2.980535E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.769 | TFLOPs: 34.71 | 7: iteration 8170/ 11269 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.48 | learning rate: 5.215E-05 | global batch size: 256 | lm loss: 2.962632E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.361 | TFLOPs: 34.95 | 7: iteration 8180/ 11269 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.49 | learning rate: 5.196E-05 | global batch size: 256 | lm loss: 2.976201E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.383 | TFLOPs: 34.49 | 7: iteration 8190/ 11269 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.48 | learning rate: 5.176E-05 | global batch size: 256 | lm loss: 2.988081E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.642 | TFLOPs: 34.70 | 7: iteration 8200/ 11269 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.49 | learning rate: 5.157E-05 | global batch size: 256 | lm loss: 2.986716E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.399 | TFLOPs: 34.49 | 7: iteration 8210/ 11269 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.49 | learning rate: 5.138E-05 | global batch size: 256 | lm loss: 3.018667E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.395 | TFLOPs: 34.30 | 7: iteration 8220/ 11269 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.48 | learning rate: 5.119E-05 | global batch size: 256 | lm loss: 2.985399E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.153 | TFLOPs: 35.20 | 7: iteration 8230/ 11269 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.47 | learning rate: 5.099E-05 | global batch size: 256 | lm loss: 2.996389E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.029 | TFLOPs: 35.38 | 7: iteration 8240/ 11269 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.48 | learning rate: 5.080E-05 | global batch size: 256 | lm loss: 3.007089E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.828 | TFLOPs: 34.59 | 7: iteration 8250/ 11269 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 0.48 | learning rate: 5.061E-05 | global batch size: 256 | lm loss: 2.979893E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.779 | TFLOPs: 35.11 | 7: iteration 8260/ 11269 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 0.49 | learning rate: 5.042E-05 | global batch size: 256 | lm loss: 2.988453E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.517 | TFLOPs: 34.37 | 7: iteration 8270/ 11269 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 0.49 | learning rate: 5.023E-05 | global batch size: 256 | lm loss: 2.989503E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.670 | TFLOPs: 34.31 | 7: iteration 8280/ 11269 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.50 | learning rate: 5.004E-05 | global batch size: 256 | lm loss: 3.008477E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.910 | TFLOPs: 33.48 | 7: iteration 8290/ 11269 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.52 | learning rate: 4.985E-05 | global batch size: 256 | lm loss: 3.002016E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 491.227 | TFLOPs: 32.13 | 7: iteration 8300/ 11269 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.50 | learning rate: 4.967E-05 | global batch size: 256 | lm loss: 2.953207E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.850 | TFLOPs: 33.47 | 7: iteration 8310/ 11269 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.51 | learning rate: 4.948E-05 | global batch size: 256 | lm loss: 2.968270E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 502.459 | TFLOPs: 32.86 | 7: iteration 8320/ 11269 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.48 | learning rate: 4.929E-05 | global batch size: 256 | lm loss: 2.981281E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.384 | TFLOPs: 35.14 | 7: iteration 8330/ 11269 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 0.48 | learning rate: 4.910E-05 | global batch size: 256 | lm loss: 2.970050E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.308 | TFLOPs: 34.68 | 7: iteration 8340/ 11269 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 0.47 | learning rate: 4.892E-05 | global batch size: 256 | lm loss: 2.977054E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.561 | TFLOPs: 35.42 | 7: iteration 8350/ 11269 | consumed samples: 2137600 | consumed tokens: 4377804800 | elapsed time per iteration (s): 0.48 | learning rate: 4.873E-05 | global batch size: 256 | lm loss: 2.977229E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.289 | TFLOPs: 34.88 | 7: iteration 8360/ 11269 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 0.48 | learning rate: 4.855E-05 | global batch size: 256 | lm loss: 2.994799E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.669 | TFLOPs: 35.10 | 7: iteration 8370/ 11269 | consumed samples: 2142720 | consumed tokens: 4388290560 | elapsed time per iteration (s): 0.47 | learning rate: 4.836E-05 | global batch size: 256 | lm loss: 2.976890E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.597 | TFLOPs: 35.29 | 7: iteration 8380/ 11269 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 0.48 | learning rate: 4.818E-05 | global batch size: 256 | lm loss: 2.969186E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.207 | TFLOPs: 34.94 | 7: iteration 8390/ 11269 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.47 | learning rate: 4.799E-05 | global batch size: 256 | lm loss: 2.995726E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.617 | TFLOPs: 35.29 | 7: iteration 8400/ 11269 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 1.00 | learning rate: 4.781E-05 | global batch size: 256 | lm loss: 2.956376E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 256.693 | TFLOPs: 16.79 | 7: iteration 8410/ 11269 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.49 | learning rate: 4.763E-05 | global batch size: 256 | lm loss: 2.972665E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.367 | TFLOPs: 34.36 | 7: iteration 8420/ 11269 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.49 | learning rate: 4.744E-05 | global batch size: 256 | lm loss: 2.980226E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.549 | TFLOPs: 34.50 | 7: iteration 8430/ 11269 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.48 | learning rate: 4.726E-05 | global batch size: 256 | lm loss: 2.966893E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.385 | TFLOPs: 35.21 | 7: iteration 8440/ 11269 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.48 | learning rate: 4.708E-05 | global batch size: 256 | lm loss: 2.967156E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.773 | TFLOPs: 34.78 | 7: iteration 8450/ 11269 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.48 | learning rate: 4.690E-05 | global batch size: 256 | lm loss: 2.970160E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.381 | TFLOPs: 35.14 | 7: iteration 8460/ 11269 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.48 | learning rate: 4.672E-05 | global batch size: 256 | lm loss: 2.986608E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.883 | TFLOPs: 34.65 | 7: iteration 8470/ 11269 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.48 | learning rate: 4.654E-05 | global batch size: 256 | lm loss: 2.982518E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.195 | TFLOPs: 34.61 | 7: iteration 8480/ 11269 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.50 | learning rate: 4.636E-05 | global batch size: 256 | lm loss: 2.968833E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 507.626 | TFLOPs: 33.20 | 7: iteration 8490/ 11269 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.49 | learning rate: 4.618E-05 | global batch size: 256 | lm loss: 2.990524E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.711 | TFLOPs: 34.12 | 7: iteration 8500/ 11269 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.50 | learning rate: 4.600E-05 | global batch size: 256 | lm loss: 3.017323E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.429 | TFLOPs: 33.71 | 7: iteration 8510/ 11269 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.49 | learning rate: 4.582E-05 | global batch size: 256 | lm loss: 2.984216E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.028 | TFLOPs: 34.27 | 7: iteration 8520/ 11269 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.48 | learning rate: 4.565E-05 | global batch size: 256 | lm loss: 2.975901E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.953 | TFLOPs: 35.12 | 7: iteration 8530/ 11269 | consumed samples: 2183680 | consumed tokens: 4472176640 | elapsed time per iteration (s): 0.48 | learning rate: 4.547E-05 | global batch size: 256 | lm loss: 2.990956E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.741 | TFLOPs: 35.04 | 7: iteration 8540/ 11269 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 0.47 | learning rate: 4.529E-05 | global batch size: 256 | lm loss: 2.974085E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 541.397 | TFLOPs: 35.41 | 7: iteration 8550/ 11269 | consumed samples: 2188800 | consumed tokens: 4482662400 | elapsed time per iteration (s): 0.48 | learning rate: 4.512E-05 | global batch size: 256 | lm loss: 2.982958E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.228 | TFLOPs: 34.61 | 7: iteration 8560/ 11269 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 0.48 | learning rate: 4.494E-05 | global batch size: 256 | lm loss: 2.953322E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.931 | TFLOPs: 35.18 | 7: iteration 8570/ 11269 | consumed samples: 2193920 | consumed tokens: 4493148160 | elapsed time per iteration (s): 0.52 | learning rate: 4.477E-05 | global batch size: 256 | lm loss: 2.981657E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 495.187 | TFLOPs: 32.39 | 7: iteration 8580/ 11269 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 0.49 | learning rate: 4.459E-05 | global batch size: 256 | lm loss: 2.946248E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.555 | TFLOPs: 34.11 | 7: iteration 8590/ 11269 | consumed samples: 2199040 | consumed tokens: 4503633920 | elapsed time per iteration (s): 0.60 | learning rate: 4.442E-05 | global batch size: 256 | lm loss: 2.985984E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 425.145 | TFLOPs: 27.80 | 7: iteration 8600/ 11269 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 0.53 | learning rate: 4.425E-05 | global batch size: 256 | lm loss: 2.950692E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 482.012 | TFLOPs: 31.52 | 7: iteration 8610/ 11269 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 0.51 | learning rate: 4.407E-05 | global batch size: 256 | lm loss: 2.964858E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.083 | TFLOPs: 33.03 | 7: iteration 8620/ 11269 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 0.48 | learning rate: 4.390E-05 | global batch size: 256 | lm loss: 2.948545E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.319 | TFLOPs: 35.08 | 7: iteration 8630/ 11269 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 0.48 | learning rate: 4.373E-05 | global batch size: 256 | lm loss: 3.008340E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.800 | TFLOPs: 35.04 | 7: iteration 8640/ 11269 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 0.48 | learning rate: 4.356E-05 | global batch size: 256 | lm loss: 3.015373E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.600 | TFLOPs: 34.96 | 7: iteration 8650/ 11269 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 0.49 | learning rate: 4.339E-05 | global batch size: 256 | lm loss: 2.961931E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.433 | TFLOPs: 34.36 | 7: iteration 8660/ 11269 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 0.48 | learning rate: 4.322E-05 | global batch size: 256 | lm loss: 2.960880E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.706 | TFLOPs: 35.03 | 7: iteration 8670/ 11269 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 0.49 | learning rate: 4.305E-05 | global batch size: 256 | lm loss: 2.980735E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.090 | TFLOPs: 34.28 | 7: iteration 8680/ 11269 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 0.49 | learning rate: 4.288E-05 | global batch size: 256 | lm loss: 2.948911E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.619 | TFLOPs: 34.18 | 7: iteration 8690/ 11269 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 0.50 | learning rate: 4.271E-05 | global batch size: 256 | lm loss: 2.942383E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.355 | TFLOPs: 33.70 | 7: iteration 8700/ 11269 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 0.49 | learning rate: 4.254E-05 | global batch size: 256 | lm loss: 2.989683E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.768 | TFLOPs: 33.86 | 7: iteration 8710/ 11269 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 0.49 | learning rate: 4.237E-05 | global batch size: 256 | lm loss: 2.985198E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.616 | TFLOPs: 34.38 | 7: iteration 8720/ 11269 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 0.48 | learning rate: 4.221E-05 | global batch size: 256 | lm loss: 2.957963E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.637 | TFLOPs: 34.77 | 7: iteration 8730/ 11269 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 0.48 | learning rate: 4.204E-05 | global batch size: 256 | lm loss: 2.976958E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.420 | TFLOPs: 34.62 | 7: iteration 8740/ 11269 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 0.48 | learning rate: 4.188E-05 | global batch size: 256 | lm loss: 2.973350E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.100 | TFLOPs: 35.06 | 7: iteration 8750/ 11269 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 0.48 | learning rate: 4.171E-05 | global batch size: 256 | lm loss: 2.954576E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.324 | TFLOPs: 34.75 | 7: iteration 8760/ 11269 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 0.48 | learning rate: 4.154E-05 | global batch size: 256 | lm loss: 2.959223E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.636 | TFLOPs: 35.03 | 7: iteration 8770/ 11269 | consumed samples: 2245120 | consumed tokens: 4598005760 | elapsed time per iteration (s): 0.59 | learning rate: 4.138E-05 | global batch size: 256 | lm loss: 2.968824E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 432.375 | TFLOPs: 28.28 | 7: iteration 8780/ 11269 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 0.54 | learning rate: 4.122E-05 | global batch size: 256 | lm loss: 2.985784E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 472.269 | TFLOPs: 30.89 | 7: iteration 8790/ 11269 | consumed samples: 2250240 | consumed tokens: 4608491520 | elapsed time per iteration (s): 0.53 | learning rate: 4.105E-05 | global batch size: 256 | lm loss: 2.983135E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 485.119 | TFLOPs: 31.73 | 7: iteration 8800/ 11269 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 0.48 | learning rate: 4.089E-05 | global batch size: 256 | lm loss: 2.967547E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.969 | TFLOPs: 34.79 | 7: iteration 8810/ 11269 | consumed samples: 2255360 | consumed tokens: 4618977280 | elapsed time per iteration (s): 0.48 | learning rate: 4.073E-05 | global batch size: 256 | lm loss: 2.969740E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.457 | TFLOPs: 34.89 | 7: iteration 8820/ 11269 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 0.48 | learning rate: 4.057E-05 | global batch size: 256 | lm loss: 2.961281E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.601 | TFLOPs: 34.70 | 7: iteration 8830/ 11269 | consumed samples: 2260480 | consumed tokens: 4629463040 | elapsed time per iteration (s): 0.49 | learning rate: 4.041E-05 | global batch size: 256 | lm loss: 2.974414E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.435 | TFLOPs: 34.49 | 7: iteration 8840/ 11269 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 0.49 | learning rate: 4.025E-05 | global batch size: 256 | lm loss: 2.966874E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.124 | TFLOPs: 34.47 | 7: iteration 8850/ 11269 | consumed samples: 2265600 | consumed tokens: 4639948800 | 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second: 522.248 | TFLOPs: 34.15 | 7: iteration 8940/ 11269 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.48 | learning rate: 3.867E-05 | global batch size: 256 | lm loss: 2.976213E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.576 | TFLOPs: 34.57 | 7: iteration 8950/ 11269 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.48 | learning rate: 3.852E-05 | global batch size: 256 | lm loss: 2.962411E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.666 | TFLOPs: 34.84 | 7: iteration 8960/ 11269 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.48 | learning rate: 3.836E-05 | global batch size: 256 | lm loss: 2.972074E+00 | grad norm: 0.271 | 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: 530.406 | TFLOPs: 34.69 | 7: iteration 9000/ 11269 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.49 | learning rate: 3.776E-05 | global batch size: 256 | lm loss: 2.987918E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.293 | TFLOPs: 34.16 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.805341E+00 | lm loss PPL: 1.653272E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_280moscar 0: [2022-11-29 18:06:15,663] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-29 18:06:15,681] [INFO] 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checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 18:06:16,624] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: [2022-11-29 18:06:16,624] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:06:16,624] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-29 18:06:16,624] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:06:16,624] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: [2022-11-29 18:06:16,624] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 18:06:16,622] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:06:16,623] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-29 18:06:16,623] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 18:06:16,623] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:06:16,623] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-29 18:06:16,623] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-29 18:06:16,629] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 18:06:16,629] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:06:16,629] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-29 18:06:16,629] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2022-11-29 18:06:16,629] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: [2022-11-29 18:06:16,629] [INFO] 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[2022-11-29 18:06:16,634] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 18:06:16,634] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-29 18:06:16,634] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:06:16,635] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 18:06:16,635] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-29 18:06:16,648] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:06:16,648] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 18:06:16,648] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: [2022-11-29 18:06:16,692] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:06:16,692] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 1: [2022-11-29 18:06:16,797] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:06:16,797] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-29 18:06:16,797] [INFO] 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[Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:06:16,798] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-29 18:06:16,798] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-29 18:06:16,798] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 1: [2022-11-29 18:06:16,798] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 1: [2022-11-29 18:06:16,798] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-29 18:06:16,798] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:06:16,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:06:16,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 18:06:16,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 6: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 6: [2022-11-29 18:06:16,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 18:06:16,870] [INFO] 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checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-29 18:06:16,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 18:06:16,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 5: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 5: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 5: [2022-11-29 18:06:16,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 5: [2022-11-29 18:06:16,870] [INFO] 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bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 18:06:16,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 18:06:16,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 18:06:16,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 18:06:16,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 18:06:16,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 18:06:16,911] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 18:06:16,911] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 18:06:16,912] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 18:06:16,912] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step9000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 18:06:16,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 1312.17 7: iteration 9010/ 11269 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.63 | learning rate: 3.760E-05 | global batch size: 256 | lm loss: 2.965768E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 406.863 | TFLOPs: 26.61 | 7: iteration 9020/ 11269 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.48 | learning rate: 3.745E-05 | global batch size: 256 | lm loss: 2.955235E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.798 | TFLOPs: 34.78 | 7: iteration 9030/ 11269 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.49 | learning rate: 3.730E-05 | global batch size: 256 | lm loss: 2.960055E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.867 | TFLOPs: 34.33 | 7: iteration 9040/ 11269 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.50 | learning rate: 3.716E-05 | global batch size: 256 | lm loss: 2.943272E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.130 | TFLOPs: 33.69 | 7: iteration 9050/ 11269 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.48 | learning rate: 3.701E-05 | global batch size: 256 | lm loss: 2.955539E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.093 | TFLOPs: 35.06 | 7: iteration 9060/ 11269 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.49 | learning rate: 3.686E-05 | global batch size: 256 | lm loss: 2.936133E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.069 | TFLOPs: 33.95 | 7: iteration 9070/ 11269 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.48 | learning rate: 3.671E-05 | global batch size: 256 | lm loss: 2.965899E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.680 | TFLOPs: 34.71 | 7: iteration 9080/ 11269 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.49 | learning rate: 3.656E-05 | global batch size: 256 | lm loss: 2.980352E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.588 | TFLOPs: 34.44 | 7: iteration 9090/ 11269 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.48 | learning rate: 3.642E-05 | global batch size: 256 | lm loss: 2.985004E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.711 | TFLOPs: 34.90 | 7: iteration 9100/ 11269 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.48 | learning rate: 3.627E-05 | global batch size: 256 | lm loss: 2.946349E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.420 | TFLOPs: 34.62 | 7: iteration 9110/ 11269 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.49 | learning rate: 3.613E-05 | global batch size: 256 | lm loss: 2.953293E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.222 | TFLOPs: 34.35 | 7: iteration 9120/ 11269 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.48 | learning rate: 3.598E-05 | global batch size: 256 | lm loss: 2.949181E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.739 | TFLOPs: 34.71 | 7: iteration 9130/ 11269 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.48 | learning rate: 3.584E-05 | global batch size: 256 | lm loss: 2.957528E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.337 | TFLOPs: 34.81 | 7: iteration 9140/ 11269 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.49 | learning rate: 3.570E-05 | global batch size: 256 | lm loss: 2.955737E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.952 | TFLOPs: 33.94 | 7: iteration 9150/ 11269 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.48 | learning rate: 3.555E-05 | global batch size: 256 | lm loss: 2.928420E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.201 | TFLOPs: 35.00 | 7: iteration 9160/ 11269 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.47 | learning rate: 3.541E-05 | global batch size: 256 | lm loss: 2.965880E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.380 | TFLOPs: 35.28 | 7: iteration 9170/ 11269 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.48 | learning rate: 3.527E-05 | global batch size: 256 | lm loss: 2.959750E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.492 | TFLOPs: 34.82 | 7: iteration 9180/ 11269 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.48 | learning rate: 3.513E-05 | global batch size: 256 | lm loss: 2.948067E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.623 | TFLOPs: 34.90 | 7: iteration 9190/ 11269 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.48 | learning rate: 3.499E-05 | global batch size: 256 | lm loss: 2.951501E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.340 | TFLOPs: 34.55 | 7: iteration 9200/ 11269 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.48 | learning rate: 3.485E-05 | global batch size: 256 | lm loss: 2.983529E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.246 | TFLOPs: 34.94 | 7: iteration 9210/ 11269 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.48 | learning rate: 3.471E-05 | global batch size: 256 | lm loss: 2.979089E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.959 | TFLOPs: 35.12 | 7: iteration 9220/ 11269 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.49 | learning rate: 3.457E-05 | global batch size: 256 | lm loss: 2.976541E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.502 | TFLOPs: 34.50 | 7: iteration 9230/ 11269 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.48 | learning rate: 3.443E-05 | global batch size: 256 | lm loss: 2.964111E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.709 | TFLOPs: 34.71 | 7: iteration 9240/ 11269 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.49 | learning rate: 3.430E-05 | global batch size: 256 | lm loss: 2.993029E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.747 | TFLOPs: 33.99 | 7: iteration 9250/ 11269 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.49 | learning rate: 3.416E-05 | global batch size: 256 | lm loss: 2.984913E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.709 | TFLOPs: 33.92 | 7: iteration 9260/ 11269 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.49 | learning rate: 3.402E-05 | global batch size: 256 | lm loss: 2.939316E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.898 | TFLOPs: 34.33 | 7: iteration 9270/ 11269 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.48 | learning rate: 3.389E-05 | global batch size: 256 | lm loss: 2.927187E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.092 | TFLOPs: 34.54 | 7: iteration 9280/ 11269 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.48 | learning rate: 3.375E-05 | global batch size: 256 | lm loss: 2.974104E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.348 | TFLOPs: 34.95 | 7: iteration 9290/ 11269 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.48 | learning rate: 3.362E-05 | global batch size: 256 | lm loss: 2.953234E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.241 | TFLOPs: 34.87 | 7: iteration 9300/ 11269 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.48 | learning rate: 3.348E-05 | global batch size: 256 | lm loss: 2.942837E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.072 | TFLOPs: 34.99 | 7: iteration 9310/ 11269 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.47 | learning rate: 3.335E-05 | global batch size: 256 | lm loss: 2.963445E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.413 | TFLOPs: 35.28 | 7: iteration 9320/ 11269 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.48 | learning rate: 3.322E-05 | global batch size: 256 | lm loss: 2.935279E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.430 | TFLOPs: 34.95 | 7: iteration 9330/ 11269 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.48 | learning rate: 3.309E-05 | global batch size: 256 | lm loss: 2.941747E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.534 | TFLOPs: 34.57 | 7: iteration 9340/ 11269 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.48 | learning rate: 3.296E-05 | global batch size: 256 | lm loss: 2.955027E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.066 | TFLOPs: 34.99 | 7: iteration 9350/ 11269 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.48 | learning rate: 3.282E-05 | global batch size: 256 | lm loss: 2.964594E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.234 | TFLOPs: 34.55 | 7: iteration 9360/ 11269 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.49 | learning rate: 3.269E-05 | global batch size: 256 | lm loss: 2.950163E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.296 | TFLOPs: 34.35 | 7: iteration 9370/ 11269 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 0.49 | learning rate: 3.257E-05 | global batch size: 256 | lm loss: 2.951284E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.708 | TFLOPs: 34.05 | 7: iteration 9380/ 11269 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.48 | learning rate: 3.244E-05 | global batch size: 256 | lm loss: 2.958136E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.662 | TFLOPs: 35.16 | 7: iteration 9390/ 11269 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.48 | learning rate: 3.231E-05 | global batch size: 256 | lm loss: 2.945325E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.021 | TFLOPs: 34.79 | 7: iteration 9400/ 11269 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.48 | learning rate: 3.218E-05 | global batch size: 256 | lm loss: 2.954827E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.394 | TFLOPs: 34.75 | 7: iteration 9410/ 11269 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.48 | learning rate: 3.205E-05 | global batch size: 256 | lm loss: 2.967720E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.035 | TFLOPs: 34.86 | 7: iteration 9420/ 11269 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.49 | learning rate: 3.193E-05 | global batch size: 256 | lm loss: 2.953071E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.177 | TFLOPs: 34.35 | 7: iteration 9430/ 11269 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.48 | learning rate: 3.180E-05 | global batch size: 256 | lm loss: 2.978694E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.886 | TFLOPs: 34.92 | 7: iteration 9440/ 11269 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.48 | learning rate: 3.168E-05 | global batch size: 256 | lm loss: 2.985368E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.577 | TFLOPs: 34.63 | 7: iteration 9450/ 11269 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.48 | learning rate: 3.155E-05 | global batch size: 256 | lm loss: 2.934842E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.163 | TFLOPs: 34.93 | 7: iteration 9460/ 11269 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 0.49 | learning rate: 3.143E-05 | global batch size: 256 | lm loss: 2.949098E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.512 | TFLOPs: 34.37 | 7: iteration 9470/ 11269 | consumed samples: 2424320 | consumed tokens: 4965007360 | elapsed time per iteration (s): 0.48 | learning rate: 3.130E-05 | global batch size: 256 | lm loss: 2.980833E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.097 | TFLOPs: 34.60 | 7: iteration 9480/ 11269 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 0.50 | learning rate: 3.118E-05 | global batch size: 256 | lm loss: 2.940388E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.711 | TFLOPs: 33.79 | 7: iteration 9490/ 11269 | consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 0.48 | learning rate: 3.106E-05 | global batch size: 256 | lm loss: 2.922714E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.919 | TFLOPs: 34.92 | 7: iteration 9500/ 11269 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.49 | learning rate: 3.094E-05 | global batch size: 256 | lm loss: 2.960623E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.563 | TFLOPs: 34.50 | 7: iteration 9510/ 11269 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.48 | learning rate: 3.082E-05 | global batch size: 256 | lm loss: 2.960914E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.840 | TFLOPs: 34.98 | 7: iteration 9520/ 11269 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time per iteration (s): 0.49 | learning rate: 3.070E-05 | global batch size: 256 | lm loss: 2.978851E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.748 | TFLOPs: 34.45 | 7: iteration 9530/ 11269 | consumed samples: 2439680 | consumed tokens: 4996464640 | elapsed time per iteration (s): 0.48 | learning rate: 3.058E-05 | global batch size: 256 | lm loss: 2.943972E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.429 | TFLOPs: 34.89 | 7: iteration 9540/ 11269 | consumed samples: 2442240 | consumed tokens: 5001707520 | elapsed time per iteration (s): 0.48 | learning rate: 3.046E-05 | global batch size: 256 | lm loss: 2.965546E+00 | grad norm: 0.284 | num zeros: 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iteration (s): 0.48 | learning rate: 2.942E-05 | global batch size: 256 | lm loss: 2.950091E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.715 | TFLOPs: 34.64 | 7: iteration 9640/ 11269 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.48 | learning rate: 2.930E-05 | global batch size: 256 | lm loss: 2.952169E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.637 | TFLOPs: 34.57 | 7: iteration 9650/ 11269 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.49 | learning rate: 2.919E-05 | global batch size: 256 | lm loss: 2.953157E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.896 | TFLOPs: 33.94 | 7: iteration 9660/ 11269 | consumed samples: 2472960 | consumed 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iterations: 0 | samples per second: 537.735 | TFLOPs: 35.17 | 7: iteration 9750/ 11269 | consumed samples: 2496000 | consumed tokens: 5111808000 | elapsed time per iteration (s): 0.49 | learning rate: 2.811E-05 | global batch size: 256 | lm loss: 2.968411E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.359 | TFLOPs: 34.29 | 7: iteration 9760/ 11269 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 0.49 | learning rate: 2.800E-05 | global batch size: 256 | lm loss: 2.973595E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.823 | TFLOPs: 34.26 | 7: iteration 9770/ 11269 | consumed samples: 2501120 | consumed tokens: 5122293760 | elapsed time per iteration (s): 0.49 | learning rate: 2.790E-05 | global batch size: 256 | lm loss: 2.943527E+00 | grad norm: 0.281 | num zeros: 0.0 | number of 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norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.197 | TFLOPs: 34.48 | 7: iteration 9810/ 11269 | consumed samples: 2511360 | consumed tokens: 5143265280 | elapsed time per iteration (s): 0.48 | learning rate: 2.749E-05 | global batch size: 256 | lm loss: 2.931374E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.968 | TFLOPs: 34.73 | 7: iteration 9820/ 11269 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 0.52 | learning rate: 2.739E-05 | global batch size: 256 | lm loss: 2.930736E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 494.944 | TFLOPs: 32.37 | 7: iteration 9830/ 11269 | consumed samples: 2516480 | consumed tokens: 5153751040 | elapsed time per iteration (s): 0.48 | learning rate: 2.729E-05 | global batch size: 256 | lm loss: 2.938315E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.265 | TFLOPs: 34.61 | 7: iteration 9840/ 11269 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 0.48 | learning rate: 2.719E-05 | global batch size: 256 | lm loss: 2.963375E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.790 | TFLOPs: 34.98 | 7: iteration 9850/ 11269 | consumed samples: 2521600 | consumed tokens: 5164236800 | elapsed time per iteration (s): 0.48 | learning rate: 2.709E-05 | global batch size: 256 | lm loss: 2.933547E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.943 | TFLOPs: 34.85 | 7: iteration 9860/ 11269 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 0.49 | learning rate: 2.699E-05 | global batch size: 256 | lm loss: 2.913055E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.176 | TFLOPs: 34.48 | 7: iteration 9870/ 11269 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 0.48 | learning rate: 2.689E-05 | global batch size: 256 | lm loss: 2.936841E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.432 | TFLOPs: 34.69 | 7: iteration 9880/ 11269 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 0.48 | learning rate: 2.680E-05 | global batch size: 256 | lm loss: 2.957700E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.659 | TFLOPs: 34.64 | 7: iteration 9890/ 11269 | consumed samples: 2531840 | consumed tokens: 5185208320 | elapsed time per iteration (s): 0.48 | learning rate: 2.670E-05 | global batch size: 256 | lm loss: 2.960428E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.885 | TFLOPs: 34.92 | 7: iteration 9900/ 11269 | consumed samples: 2534400 | consumed tokens: 5190451200 | elapsed time per iteration (s): 0.48 | learning rate: 2.661E-05 | global batch size: 256 | lm loss: 2.965465E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.204 | TFLOPs: 34.61 | 7: iteration 9910/ 11269 | consumed samples: 2536960 | consumed tokens: 5195694080 | elapsed time per iteration (s): 0.48 | learning rate: 2.651E-05 | global batch size: 256 | lm loss: 2.971680E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.836 | TFLOPs: 35.24 | 7: iteration 9920/ 11269 | consumed samples: 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iteration 9950/ 11269 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.48 | learning rate: 2.614E-05 | global batch size: 256 | lm loss: 2.965146E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.131 | TFLOPs: 35.19 | 7: iteration 9960/ 11269 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.48 | learning rate: 2.605E-05 | global batch size: 256 | lm loss: 2.953116E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.897 | TFLOPs: 35.18 | 7: iteration 9970/ 11269 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.49 | learning rate: 2.595E-05 | global batch size: 256 | lm loss: 2.942319E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.372 | TFLOPs: 33.90 | 7: iteration 9980/ 11269 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.48 | learning rate: 2.586E-05 | global batch size: 256 | lm loss: 2.920641E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.043 | TFLOPs: 34.53 | 7: iteration 9990/ 11269 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.50 | learning rate: 2.577E-05 | global batch size: 256 | lm loss: 2.955049E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.192 | TFLOPs: 33.63 | 0: [2022-11-29 18:14:21,275] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[2.568592118488235e-05, 2.568592118488235e-05, 2.568592118488235e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 11269 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.48 | learning rate: 2.569E-05 | global batch size: 256 | lm loss: 2.959277E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.023 | TFLOPs: 34.92 | 0: steps: 10000 loss: 2.9621 iter time (s): 0.489 samples/sec: 523.039 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.856580E+00 | lm loss PPL: 1.740191E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_280moscar 0: [2022-11-29 18:14:21,454] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-29 18:14:21,458] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step10000/layer_01-model_00-model_states.pt... 0: 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checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 18:14:22,103] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-29 18:14:22,102] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-29 18:14:22,102] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-29 18:14:22,105] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:14:22,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-29 18:14:22,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 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checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:14:22,107] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 6: [2022-11-29 18:14:22,107] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:14:22,107] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 18:14:22,107] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 1: [2022-11-29 18:14:22,107] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-29 18:14:22,107] [INFO] 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[2022-11-29 18:14:22,121] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 18:14:22,121] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2022-11-29 18:14:22,121] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-29 18:14:22,121] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:14:22,121] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:14:22,121] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-29 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:14:22,123] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 18:14:22,123] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-29 18:14:22,123] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-29 18:14:22,123] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:14:22,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 18:14:22,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 18:14:22,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 4: [2022-11-29 18:14:22,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-29 18:14:22,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 4: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:14:22,124] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-29 18:14:22,124] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-29 18:14:22,126] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:14:22,125] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:14:22,126] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 2: [2022-11-29 18:14:22,125] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-29 18:14:22,125] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-29 18:14:22,126] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2022-11-29 18:14:22,131] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:14:22,131] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 18:14:22,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2022-11-29 18:14:22,110] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 18:14:22,110] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 18:14:22,110] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2022-11-29 18:14:22,111] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2022-11-29 18:14:22,111] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:14:22,111] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 18:14:22,111] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2022-11-29 18:14:22,116] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:14:22,116] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:14:22,116] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-29 18:14:22,116] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: [2022-11-29 18:14:22,197] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step10000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:14:22,197] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 747.86 7: iteration 10010/ 11269 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 0.57 | learning rate: 2.560E-05 | global batch size: 256 | lm loss: 2.972881E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.468 | TFLOPs: 29.53 | 7: iteration 10020/ 11269 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.48 | learning rate: 2.551E-05 | global batch size: 256 | lm loss: 2.924081E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.666 | TFLOPs: 34.77 | 7: iteration 10030/ 11269 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.48 | learning rate: 2.542E-05 | global batch size: 256 | lm loss: 2.958115E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.227 | TFLOPs: 34.55 | 7: iteration 10040/ 11269 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.49 | learning rate: 2.534E-05 | global batch size: 256 | lm loss: 2.971580E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.190 | TFLOPs: 34.15 | 7: iteration 10050/ 11269 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.48 | learning rate: 2.525E-05 | global batch size: 256 | lm loss: 2.935071E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.630 | TFLOPs: 34.90 | 7: iteration 10060/ 11269 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.49 | learning rate: 2.517E-05 | global batch size: 256 | lm loss: 2.964279E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.889 | TFLOPs: 34.46 | 7: iteration 10070/ 11269 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.49 | learning rate: 2.508E-05 | global batch size: 256 | lm loss: 2.952264E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.800 | TFLOPs: 34.19 | 7: iteration 10080/ 11269 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.49 | learning rate: 2.500E-05 | global batch size: 256 | lm loss: 2.936727E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.865 | TFLOPs: 34.20 | 7: iteration 10090/ 11269 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.49 | learning rate: 2.492E-05 | global batch size: 256 | lm loss: 2.938185E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.111 | TFLOPs: 34.28 | 7: iteration 10100/ 11269 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.49 | learning rate: 2.483E-05 | global batch size: 256 | lm loss: 2.914658E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.685 | TFLOPs: 33.92 | 7: iteration 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second: 521.632 | TFLOPs: 34.11 | 7: iteration 10140/ 11269 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.48 | learning rate: 2.451E-05 | global batch size: 256 | lm loss: 2.956045E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.424 | TFLOPs: 34.82 | 7: iteration 10150/ 11269 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.48 | learning rate: 2.443E-05 | global batch size: 256 | lm loss: 2.961201E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.104 | TFLOPs: 34.54 | 7: iteration 10160/ 11269 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.49 | learning rate: 2.435E-05 | global batch size: 256 | lm loss: 2.987570E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.979 | TFLOPs: 34.40 | 7: iteration 10170/ 11269 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.48 | learning rate: 2.428E-05 | global batch size: 256 | lm loss: 2.970314E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.565 | TFLOPs: 34.76 | 7: iteration 10180/ 11269 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 0.48 | learning rate: 2.420E-05 | global batch size: 256 | lm loss: 2.933841E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.682 | TFLOPs: 35.10 | 7: iteration 10190/ 11269 | consumed samples: 2608640 | consumed tokens: 5342494720 | elapsed time per iteration (s): 0.48 | learning rate: 2.412E-05 | global batch size: 256 | lm loss: 2.947474E+00 | grad norm: 0.290 | num zeros: 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2.942453E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.738 | TFLOPs: 34.45 | 7: iteration 10230/ 11269 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 0.48 | learning rate: 2.383E-05 | global batch size: 256 | lm loss: 2.958689E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.977 | TFLOPs: 34.53 | 7: iteration 10240/ 11269 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 0.50 | learning rate: 2.375E-05 | global batch size: 256 | lm loss: 2.949984E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.062 | TFLOPs: 33.82 | 7: iteration 10250/ 11269 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 0.48 | learning rate: 2.368E-05 | global batch size: 256 | lm loss: 2.942538E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.888 | TFLOPs: 34.59 | 7: iteration 10260/ 11269 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.50 | learning rate: 2.361E-05 | global batch size: 256 | lm loss: 2.935217E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.785 | TFLOPs: 33.80 | 7: iteration 10270/ 11269 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.48 | learning rate: 2.354E-05 | global batch size: 256 | lm loss: 2.944214E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.281 | TFLOPs: 34.75 | 7: iteration 10280/ 11269 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time 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10340/ 11269 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.48 | learning rate: 2.306E-05 | global batch size: 256 | lm loss: 2.955462E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.496 | TFLOPs: 35.02 | 7: iteration 10350/ 11269 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.48 | learning rate: 2.300E-05 | global batch size: 256 | lm loss: 2.962001E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.743 | TFLOPs: 34.78 | 7: iteration 10360/ 11269 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.49 | learning rate: 2.293E-05 | global batch size: 256 | lm loss: 2.959449E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.581 | TFLOPs: 34.44 | 7: iteration 10370/ 11269 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 0.48 | learning rate: 2.287E-05 | global batch size: 256 | lm loss: 2.945506E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.004 | TFLOPs: 34.86 | 7: iteration 10380/ 11269 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 0.48 | learning rate: 2.281E-05 | global batch size: 256 | lm loss: 2.931514E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.335 | TFLOPs: 34.81 | 7: iteration 10390/ 11269 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.48 | learning rate: 2.274E-05 | global batch size: 256 | lm loss: 2.970775E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.713 | TFLOPs: 34.97 | 7: iteration 10400/ 11269 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.48 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 2.941205E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.581 | TFLOPs: 34.77 | 7: iteration 10410/ 11269 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.48 | learning rate: 2.262E-05 | global batch size: 256 | lm loss: 2.957727E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.209 | TFLOPs: 34.68 | 7: iteration 10420/ 11269 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.48 | learning rate: 2.256E-05 | global batch size: 256 | lm loss: 2.941789E+00 | grad norm: 0.269 | num zeros: 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2.923932E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.421 | TFLOPs: 34.62 | 7: iteration 10460/ 11269 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.48 | learning rate: 2.233E-05 | global batch size: 256 | lm loss: 2.953266E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.616 | TFLOPs: 34.96 | 7: iteration 10470/ 11269 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.50 | learning rate: 2.227E-05 | global batch size: 256 | lm loss: 2.920202E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.083 | TFLOPs: 33.69 | 7: iteration 10480/ 11269 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.49 | learning rate: 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consumed tokens: 5525995520 | elapsed time per iteration (s): 0.48 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.906148E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.846 | TFLOPs: 34.98 | 7: iteration 10550/ 11269 | consumed samples: 2700800 | consumed tokens: 5531238400 | elapsed time per iteration (s): 0.49 | learning rate: 2.184E-05 | global batch size: 256 | lm loss: 2.940064E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.155 | TFLOPs: 34.48 | 7: iteration 10560/ 11269 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 0.48 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 2.888948E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.323 | TFLOPs: 35.08 | 7: iteration 10570/ 11269 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 0.48 | learning rate: 2.174E-05 | global batch size: 256 | lm loss: 2.959572E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.511 | TFLOPs: 34.83 | 7: iteration 10580/ 11269 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 0.48 | learning rate: 2.169E-05 | global batch size: 256 | lm loss: 2.974988E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.899 | TFLOPs: 34.72 | 7: iteration 10590/ 11269 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 0.48 | learning rate: 2.164E-05 | global batch size: 256 | lm loss: 2.922430E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.726 | TFLOPs: 35.10 | 7: iteration 10600/ 11269 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 0.49 | learning rate: 2.159E-05 | global batch size: 256 | lm loss: 2.972191E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.758 | TFLOPs: 33.86 | 7: iteration 10610/ 11269 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.48 | learning rate: 2.155E-05 | global batch size: 256 | lm loss: 2.955290E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.167 | TFLOPs: 34.67 | 7: iteration 10620/ 11269 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 0.49 | learning rate: 2.150E-05 | global batch size: 256 | lm loss: 2.917628E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.861 | TFLOPs: 34.00 | 7: iteration 10630/ 11269 | consumed samples: 2721280 | consumed tokens: 5573181440 | elapsed time per iteration (s): 0.49 | learning rate: 2.145E-05 | global batch size: 256 | lm loss: 2.925992E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.685 | TFLOPs: 34.51 | 7: iteration 10640/ 11269 | consumed samples: 2723840 | consumed tokens: 5578424320 | elapsed time per iteration (s): 0.47 | learning rate: 2.141E-05 | global batch size: 256 | lm loss: 2.931488E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.507 | TFLOPs: 35.35 | 7: iteration 10650/ 11269 | consumed samples: 2726400 | consumed tokens: 5583667200 | elapsed time per iteration (s): 0.48 | learning rate: 2.136E-05 | global batch size: 256 | lm loss: 2.936049E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.269 | TFLOPs: 35.07 | 7: iteration 10660/ 11269 | consumed samples: 2728960 | consumed tokens: 5588910080 | elapsed time per iteration (s): 0.49 | learning rate: 2.132E-05 | global batch size: 256 | lm loss: 2.958782E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.489 | TFLOPs: 34.37 | 7: iteration 10670/ 11269 | consumed samples: 2731520 | consumed tokens: 5594152960 | elapsed time per iteration (s): 0.48 | learning rate: 2.128E-05 | global batch size: 256 | lm loss: 2.924755E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.777 | TFLOPs: 34.65 | 7: iteration 10680/ 11269 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 0.48 | learning rate: 2.124E-05 | global batch size: 256 | lm loss: 2.947948E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.643 | TFLOPs: 34.77 | 7: iteration 10690/ 11269 | consumed samples: 2736640 | consumed tokens: 5604638720 | elapsed time per iteration (s): 0.48 | learning rate: 2.119E-05 | global batch size: 256 | lm loss: 2.928103E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.170 | TFLOPs: 35.00 | 7: iteration 10700/ 11269 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 0.47 | learning rate: 2.115E-05 | global batch size: 256 | lm loss: 2.960028E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 542.671 | TFLOPs: 35.49 | 7: iteration 10710/ 11269 | consumed samples: 2741760 | consumed tokens: 5615124480 | elapsed time per iteration (s): 0.48 | learning rate: 2.111E-05 | global batch size: 256 | lm loss: 2.947750E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.860 | TFLOPs: 34.91 | 7: iteration 10720/ 11269 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 0.48 | learning rate: 2.107E-05 | global batch size: 256 | lm loss: 2.979490E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.327 | TFLOPs: 34.68 | 7: iteration 10730/ 11269 | consumed samples: 2746880 | consumed tokens: 5625610240 | elapsed time per iteration (s): 0.48 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.946428E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.976 | TFLOPs: 35.12 | 7: iteration 10740/ 11269 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 0.49 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 2.915006E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.751 | TFLOPs: 34.25 | 7: iteration 10750/ 11269 | consumed samples: 2752000 | consumed tokens: 5636096000 | elapsed time per iteration (s): 0.49 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.944552E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.672 | TFLOPs: 34.18 | 7: iteration 10760/ 11269 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 0.48 | learning rate: 2.092E-05 | global batch size: 256 | lm loss: 2.929896E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.957 | TFLOPs: 34.99 | 7: iteration 10770/ 11269 | consumed samples: 2757120 | consumed tokens: 5646581760 | elapsed time per iteration (s): 0.49 | learning rate: 2.089E-05 | global batch size: 256 | lm loss: 2.938448E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.778 | TFLOPs: 34.52 | 7: iteration 10780/ 11269 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 0.48 | learning rate: 2.085E-05 | global batch size: 256 | lm loss: 2.966349E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.847 | TFLOPs: 35.11 | 7: iteration 10790/ 11269 | consumed samples: 2762240 | consumed tokens: 5657067520 | elapsed time per iteration (s): 0.49 | learning rate: 2.082E-05 | global batch size: 256 | lm loss: 2.913998E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.918 | TFLOPs: 34.33 | 7: iteration 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second: 518.309 | TFLOPs: 33.90 | 7: iteration 10830/ 11269 | consumed samples: 2772480 | consumed tokens: 5678039040 | elapsed time per iteration (s): 0.50 | learning rate: 2.069E-05 | global batch size: 256 | lm loss: 2.939923E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.654 | TFLOPs: 33.66 | 7: iteration 10840/ 11269 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 0.54 | learning rate: 2.066E-05 | global batch size: 256 | lm loss: 2.929653E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 477.585 | TFLOPs: 31.23 | 7: iteration 10850/ 11269 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 0.51 | learning rate: 2.063E-05 | global batch size: 256 | lm loss: 2.955391E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 497.338 | TFLOPs: 32.53 | 7: iteration 10860/ 11269 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 0.53 | learning rate: 2.060E-05 | global batch size: 256 | lm loss: 2.971083E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 479.001 | TFLOPs: 31.33 | 7: iteration 10870/ 11269 | consumed samples: 2782720 | consumed tokens: 5699010560 | elapsed time per iteration (s): 0.49 | learning rate: 2.057E-05 | global batch size: 256 | lm loss: 2.971263E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.791 | TFLOPs: 34.12 | 7: iteration 10880/ 11269 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 0.48 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.920686E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.471 | TFLOPs: 35.02 | 7: iteration 10890/ 11269 | consumed samples: 2787840 | consumed tokens: 5709496320 | elapsed time per iteration (s): 0.48 | learning rate: 2.051E-05 | global batch size: 256 | lm loss: 2.916738E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.593 | TFLOPs: 34.96 | 7: iteration 10900/ 11269 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 0.48 | learning rate: 2.049E-05 | global batch size: 256 | lm loss: 2.933327E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.862 | TFLOPs: 34.98 | 7: iteration 10910/ 11269 | consumed samples: 2792960 | consumed tokens: 5719982080 | elapsed time per iteration (s): 0.53 | learning rate: 2.046E-05 | global batch size: 256 | lm loss: 2.928835E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 486.999 | TFLOPs: 31.85 | 7: iteration 10920/ 11269 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 0.48 | learning rate: 2.043E-05 | global batch size: 256 | lm loss: 2.943738E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.457 | TFLOPs: 34.95 | 7: iteration 10930/ 11269 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 0.49 | learning rate: 2.041E-05 | global batch size: 256 | lm loss: 2.945975E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.094 | TFLOPs: 34.41 | 7: iteration 10940/ 11269 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.73 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.905365E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.533 | TFLOPs: 23.06 | 7: iteration 10950/ 11269 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.61 | learning rate: 2.036E-05 | global batch size: 256 | lm loss: 2.946931E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 422.330 | TFLOPs: 27.62 | 7: iteration 10960/ 11269 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.49 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.923399E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.299 | TFLOPs: 34.16 | 7: iteration 10970/ 11269 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 0.50 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.951532E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.668 | TFLOPs: 33.79 | 7: iteration 10980/ 11269 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.49 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.947533E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.328 | TFLOPs: 34.09 | 7: iteration 10990/ 11269 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.48 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.927096E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.858 | TFLOPs: 34.65 | 7: iteration 11000/ 11269 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.48 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.929156E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.762 | TFLOPs: 34.84 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 11000 | lm loss value: 2.871375E+00 | lm loss PPL: 1.766128E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 11000 to checkpoints_280moscar 0: [2022-11-29 18:22:31,645] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save! 0: [2022-11-29 18:22:31,648] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step11000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:22:31,761] [INFO] [torch_checkpoint_engine.py:17:save] 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[2022-11-29 18:22:32,311] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 4: [2022-11-29 18:22:32,311] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 4: [2022-11-29 18:22:32,311] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-29 18:22:32,311] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 18:22:32,311] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 4: [2022-11-29 18:22:32,311] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 6: [2022-11-29 18:22:32,311] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 18:22:32,342] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:22:32,342] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 6: [2022-11-29 18:22:32,342] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 18:22:32,342] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 6: [2022-11-29 18:22:32,342] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:22:32,342] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-29 18:22:32,343] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-29 18:22:32,348] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:22:32,349] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 18:22:32,349] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-29 18:22:32,349] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:22:32,349] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-29 18:22:32,349] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:22:32,349] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-29 18:22:32,349] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-29 18:22:32,349] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-29 18:22:32,349] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:22:32,349] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 18:22:32,350] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-29 18:22:32,390] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:22:32,390] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: successfully saved checkpoint at iteration 11000 to checkpoints_280moscar 7: time (ms) | save-checkpoint: 749.86 7: iteration 11010/ 11269 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.58 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.925740E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.286 | TFLOPs: 28.73 | 7: iteration 11020/ 11269 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.49 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.920650E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.792 | TFLOPs: 34.06 | 7: iteration 11030/ 11269 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.50 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.946444E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.721 | TFLOPs: 33.73 | 7: iteration 11040/ 11269 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.51 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.956919E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 502.073 | TFLOPs: 32.84 | 7: iteration 11050/ 11269 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.49 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.929491E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.195 | TFLOPs: 34.22 | 7: iteration 11060/ 11269 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.49 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.951544E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.806 | TFLOPs: 34.45 | 7: iteration 11070/ 11269 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.48 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.950497E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.141 | TFLOPs: 34.67 | 7: iteration 11080/ 11269 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.50 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.900419E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 509.238 | TFLOPs: 33.30 | 7: iteration 11090/ 11269 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.48 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.928820E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.174 | TFLOPs: 34.67 | 7: iteration 11100/ 11269 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 0.48 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.915639E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.726 | TFLOPs: 34.91 | 7: iteration 11110/ 11269 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 0.49 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.935809E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.015 | TFLOPs: 34.27 | 7: iteration 11120/ 11269 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 0.49 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.943433E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.701 | TFLOPs: 33.86 | 7: iteration 11130/ 11269 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.49 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.955413E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.774 | TFLOPs: 33.99 | 7: iteration 11140/ 11269 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.50 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.932379E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.027 | TFLOPs: 33.42 | 7: iteration 11150/ 11269 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.48 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.952201E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.339 | TFLOPs: 34.68 | 7: iteration 11160/ 11269 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.48 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.923342E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.254 | TFLOPs: 35.01 | 7: iteration 11170/ 11269 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 0.48 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.928914E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.178 | TFLOPs: 35.20 | 7: iteration 11180/ 11269 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 0.48 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.934577E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.872 | TFLOPs: 34.59 | 7: iteration 11190/ 11269 | consumed samples: 2864640 | consumed tokens: 5866782720 | elapsed time per iteration (s): 0.48 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.914578E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.244 | TFLOPs: 35.00 | 7: iteration 11200/ 11269 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.48 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.953756E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.299 | TFLOPs: 35.07 | 7: iteration 11210/ 11269 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.49 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.938021E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.196 | TFLOPs: 34.48 | 7: iteration 11220/ 11269 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.52 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.920843E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 496.492 | TFLOPs: 32.47 | 7: iteration 11230/ 11269 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.50 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.943181E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.092 | TFLOPs: 33.49 | 7: iteration 11240/ 11269 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.940605E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.240 | TFLOPs: 34.09 | 7: iteration 11250/ 11269 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.916161E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.609 | TFLOPs: 34.37 | 7: iteration 11260/ 11269 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.918173E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.164 | TFLOPs: 35.20 | 0: [after training is done] datetime: 2022-11-29 18:24:44 0: saving checkpoint at iteration 11269 to checkpoints_280moscar 7: ------------------------------------------------------------------------------------------------------------ 7: valid loss at the end of training for val data | lm loss value: 2.799337E+00 | lm loss PPL: 1.643375E+01 | 7: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-29 18:24:44,242] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11269 is begin to save! 0: [2022-11-29 18:24:44,246] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step11269/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:24:44,358] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:24:44,359] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280moscar/global_step11269/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:24:44,386] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:24:44,386] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[2022-11-29 18:24:44,887] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 4: [2022-11-29 18:24:44,887] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:24:44,887] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 18:24:44,887] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-29 18:24:44,890] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:24:44,890] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:24:44,890] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-29 18:24:44,890] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-29 18:24:44,890] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-29 18:24:44,890] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 7: [2022-11-29 18:24:44,891] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:24:44,892] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 18:24:44,892] [INFO] 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[Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:24:44,897] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-29 18:24:44,897] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-29 18:24:44,897] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-29 18:24:44,897] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-29 18:24:44,897] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-29 18:24:44,897] [INFO] [torch_checkpoint_engine.py:27:commit] 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[2022-11-29 18:24:44,912] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 6: [2022-11-29 18:24:44,912] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 18:24:44,912] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 4: [2022-11-29 18:24:44,913] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:24:44,913] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:24:44,913] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 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checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:24:44,914] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-29 18:24:44,914] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-29 18:24:44,914] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:24:44,914] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 18:24:44,914] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 7: [2022-11-29 18:24:44,895] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:24:44,895] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 18:24:44,895] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:24:44,895] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 7: [2022-11-29 18:24:44,895] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 18:24:44,895] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 7: [2022-11-29 18:24:44,898] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:24:44,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 18:24:44,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 7: [2022-11-29 18:24:44,905] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:24:44,905] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 18:24:44,905] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 7: [2022-11-29 18:24:44,917] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[Torch] Saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:24:44,937] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-29 18:24:44,937] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 18:24:44,937] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 18:24:44,937] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 18:24:44,937] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 6: [2022-11-29 18:24:44,937] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 6: [2022-11-29 18:24:44,937] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 6: [2022-11-29 18:24:44,937] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 0: [2022-11-29 18:24:44,975] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280moscar/global_step11269/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:24:44,975] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 0: successfully saved checkpoint at iteration 11269 to checkpoints_280moscar 7: ------------------------------------------------------------------------------------------------------------ 7: test loss at the end of training for test data | lm loss value: 2.848732E+00 | lm loss PPL: 1.726588E+01 | 7: ------------------------------------------------------------------------------------------------------------ END 2085609: Tue Nov 29 18:24:57 EET 2022