Model parameters: d_model 1536 ffw_size 6144 kv_size 128 n_heads 12 n_layers 19 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 19 --hidden-size 1536 --num-attention-heads 12 --kv-channels 128 --ffn-hidden-size 6144 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 10_498_047 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-619m22b --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 10_498_047 --lr-warmup-samples 104_980 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_619m22b --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_619m22b --load checkpoints_619m22b --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2077147.json --zero-stage 0 START 2077147: Mon Nov 28 12:53:25 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 44.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 39.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 43.0c 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 48.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 33.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 43.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 40.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= 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 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 34.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 34.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 38.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 35.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 45.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 39.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 40.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= 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 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 38.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 7: Launching on nid005099 (7/8), master nid005092 port 9999, GPUs 8, CUDA: True 0: Launching on nid005092 (0/8), master nid005092 port 9999, GPUs 8, CUDA: True 4: Launching on nid005096 (4/8), master nid005092 port 9999, GPUs 8, CUDA: True 2: Launching on nid005094 (2/8), master nid005092 port 9999, GPUs 8, CUDA: True 6: Launching on nid005098 (6/8), master nid005092 port 9999, GPUs 8, CUDA: True 5: Launching on nid005097 (5/8), master nid005092 port 9999, GPUs 8, CUDA: True 1: Launching on nid005093 (1/8), master nid005092 port 9999, GPUs 8, CUDA: True 3: Launching on nid005095 (3/8), master nid005092 port 9999, GPUs 8, CUDA: True 7: > setting tensorboard ... 0: using world size: 64, data-parallel-size: 64, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... False 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 64 0: data_path ....................................... ['/scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document'] 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/2077147.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 ................................. 6144 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 ..................................... 1536 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-619m22b 0: kv_channels ..................................... 128 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_619m22b 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 ................................ 10498047 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 104980 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 4 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 12 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 19 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_619m22b 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_619m22b 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 ................................... 10498047 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: [2022-11-28 12:53:45,468] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 0: > initializing tensor model parallel with size 1 0: > initializing pipeline model parallel with size 1 0: > setting random seeds to 1234 ... 0: > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234 0: > compiling dataset index builder ... 0: make: Entering directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: make: Nothing to be done for 'default'. 0: make: Leaving directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: >>> done with dataset index builder. Compilation time: 0.088 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.o scaled_upper_triang_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: ninja: no work to do. 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: ninja: no work to do. 0: >>> done with compiling and loading fused kernels. Compilation time: 18.582 seconds 0: time to initialize megatron (seconds): 78.967 0: [after megatron is initialized] datetime: 2022-11-28 12:54:06 0: building GPT model ... 0: [2022-11-28 12:54:07,018] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-28 12:54:07,018] [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: [2022-11-28 12:54:07,018] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.01 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: [2022-11-28 12:54:09,019] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=26 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: ParallelTransformerLayerPipe 0: 22: undo 0: 23: MixedFusedLayerNorm 0: 24: EmbeddingPipe 0: 25: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-28 12:54:09,270] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-28 12:54:09,271] [INFO] [utils.py:828:see_memory_usage] MA 1.16 GB Max_MA 1.16 GB CA 1.2 GB Max_CA 1 GB 0: [2022-11-28 12:54:09,271] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.05 GB, percent = 5.8% 0: setting training iterations to 41007 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-28 12:54:09,273] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-28 12:54:22,288] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-28 12:54:22,288] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-28 12:54:22,288] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-28 12:54:22,295] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-28 12:54:22,295] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-28 12:54:22,338] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-28 12:54:22,339] [INFO] [utils.py:828:see_memory_usage] MA 1.15 GB Max_MA 1.17 GB CA 1.22 GB Max_CA 1 GB 0: [2022-11-28 12:54:22,339] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.73 GB, percent = 5.9% 0: ninja: no work to do. 0: Time to load utils op: 0.13305950164794922 seconds 0: Time to load utils op: 0.0005321502685546875 seconds 0: Time to load 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seconds 2: Time to load utils op: 0.2124488353729248 seconds 2: Time to load utils op: 0.21149587631225586 secondsTime to load utils op: 0.21119356155395508 seconds 2: 2: Time to load utils op: 0.2116544246673584 seconds 6: Time to load utils op: 0.21193194389343262 secondsTime to load utils op: 0.21244239807128906 seconds 6: 6: Time to load utils op: 0.2124645709991455 seconds 6: Time to load utils op: 0.21234583854675293 seconds 6: Time to load utils op: 0.21283292770385742 seconds 6: Time to load utils op: 0.21192049980163574 seconds 6: Time to load utils op: 0.21269917488098145 seconds 6: Time to load utils op: 0.2115316390991211 seconds 3: Time to load utils op: 0.2116096019744873 secondsTime to load utils op: 0.21161246299743652 seconds 3: 3: Time to load utils op: 0.2116224765777588 secondsTime to load utils op: 0.2116255760192871 secondsTime to load utils op: 0.21162199974060059 secondsTime to load utils op: 0.2116246223449707 seconds 3: 3: 3: 3: Time to load utils op: 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Time to load utils op: 0.0003972053527832031 seconds 0: Time to load utils op: 0.00041031837463378906 seconds 0: Time to load utils op: 0.0004017353057861328 seconds 0: Time to load utils op: 0.0004215240478515625 seconds 0: Time to load utils op: 0.0003943443298339844 seconds 7: Time to load utils op: 0.2112255096435547 seconds 7: Time to load utils op: 0.21123695373535156 seconds 7: Time to load utils op: 0.21123552322387695 secondsTime to load utils op: 0.21123790740966797 seconds 7: Time to load utils op: 0.21124005317687988 seconds 7: Time to load utils op: 0.21123814582824707 seconds 7: 7: Time to load utils op: 0.21124935150146484 seconds 7: Time to load utils op: 0.2112569808959961 seconds 0: [2022-11-28 12:54:22,593] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-28 12:54:22,593] [INFO] [utils.py:828:see_memory_usage] MA 1.15 GB Max_MA 1.15 GB CA 1.22 GB Max_CA 1 GB 0: [2022-11-28 12:54:22,594] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 2: Time to load utils op: 0.000518798828125 seconds 2: Time to load utils op: 0.0005571842193603516 seconds 2: Time to load utils op: 0.0006232261657714844 seconds 2: Time to load utils op: 0.0005939006805419922 seconds 2: Time to load utils op: 0.0006575584411621094 seconds 2: Time to load utils op: 0.0006387233734130859 secondsTime to load utils op: 0.0006461143493652344 seconds 2: 2: Time to load utils op: 0.00067901611328125 seconds 6: Time to load utils op: 0.0005445480346679688 seconds 6: Time to load utils op: 0.0006117820739746094 seconds 6: Time to load utils op: 0.0006296634674072266 seconds 6: Time to load utils op: 0.0009696483612060547 seconds 6: Time to load utils op: 0.0010077953338623047 seconds 6: Time to load utils op: 0.000993490219116211 seconds 6: Time to load utils op: 0.0008962154388427734 seconds 6: Time to load utils op: 0.0010571479797363281 seconds 5: Time to load utils op: 0.0008206367492675781 seconds 5: Time to load 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utils op: 0.0007748603820800781 secondsTime to load utils op: 0.0007865428924560547 seconds 7: 7: Time to load utils op: 0.0010192394256591797 secondsTime to load utils op: 0.0009484291076660156 seconds 7: 7: Time to load utils op: 0.0010814666748046875 seconds 1: Time to load utils op: 0.0008637905120849609 secondsTime to load utils op: 0.0007901191711425781 seconds 1: 1: Time to load utils op: 0.0009262561798095703 seconds 1: Time to load utils op: 0.001123189926147461 seconds 1: Time to load utils op: 0.0011141300201416016 seconds 1: Time to load utils op: 0.0010056495666503906 seconds 1: Time to load utils op: 0.0011162757873535156 seconds 1: Time to load utils op: 0.001130819320678711 seconds 3: Time to load utils op: 0.0009062290191650391 seconds 3: Time to load utils op: 0.0013260841369628906 seconds 3: Time to load utils op: 0.0012655258178710938 seconds 3: Time to load utils op: 0.001310110092163086 seconds 3: Time to load utils op: 0.0013675689697265625 secondsTime to load utils op: 0.0013260841369628906 seconds 3: 3: Time to load utils op: 0.0012879371643066406 seconds 3: Time to load utils op: 0.0013647079467773438 seconds 0: [2022-11-28 12:54:22,639] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2022-11-28 12:54:22,640] [INFO] [utils.py:828:see_memory_usage] MA 2.45 GB Max_MA 2.45 GB CA 3.13 GB Max_CA 3 GB 0: [2022-11-28 12:54:22,640] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,671] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-28 12:54:22,671] [INFO] [utils.py:828:see_memory_usage] MA 2.45 GB Max_MA 2.45 GB CA 3.13 GB Max_CA 3 GB 0: [2022-11-28 12:54:22,672] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,704] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-28 12:54:22,704] [INFO] [utils.py:828:see_memory_usage] MA 3.49 GB Max_MA 3.49 GB CA 4.68 GB Max_CA 5 GB 0: [2022-11-28 12:54:22,704] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,735] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-28 12:54:22,735] [INFO] [utils.py:828:see_memory_usage] MA 3.49 GB Max_MA 3.49 GB CA 4.68 GB Max_CA 5 GB 0: [2022-11-28 12:54:22,735] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,768] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-28 12:54:22,769] [INFO] [utils.py:828:see_memory_usage] MA 3.49 GB Max_MA 3.49 GB CA 4.68 GB Max_CA 5 GB 0: [2022-11-28 12:54:22,769] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,799] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-28 12:54:22,799] [INFO] [utils.py:828:see_memory_usage] MA 3.49 GB Max_MA 3.49 GB CA 4.68 GB Max_CA 5 GB 0: [2022-11-28 12:54:22,800] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,835] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-28 12:54:22,836] [INFO] [utils.py:828:see_memory_usage] MA 3.57 GB Max_MA 3.57 GB CA 4.68 GB Max_CA 5 GB 0: [2022-11-28 12:54:22,836] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,866] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-28 12:54:22,867] [INFO] [utils.py:828:see_memory_usage] MA 3.57 GB Max_MA 3.57 GB CA 4.68 GB Max_CA 5 GB 0: [2022-11-28 12:54:22,867] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.89 GB, percent = 5.9% 0: [2022-11-28 12:54:22,867] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-28 12:54:22,867] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-28 12:54:22,867] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-28 12:54:22,867] [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: [2022-11-28 12:54:22,868] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-28 12:54:22,868] [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: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-28 12:54:22,868] [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: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-28 12:54:22,868] [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: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-28 12:54:22,868] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-28 12:54:22,869] [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: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-28 12:54:22,869] [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: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-28 12:54:22,869] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-28 12:54:22,870] [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: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-28 12:54:22,870] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-28 12:54:22,870] [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: 0.0003948211669921875 seconds 0: [2022-11-28 12:54:22,870] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-28 12:54:22,924] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=26 [0, 26) STAGE_PARAMS=618714624 (618.715M) TOTAL_PARAMS=618714624 (618.715M) UNIQUE_PARAMS=618714624 (618.715M) 0: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/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_619m22b 0: will not load any checkpoints and will start from random 0: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 12:54:22,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 12:54:22,930] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,931] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 12:54:22,931] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_619m22b/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: 8.01 0: estimated model parameters: 0.618714624 0: estimated model parameters without embeddings: 0.538301952 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-28 12:54:23 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 10498047 0: validation: 10752 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 0.019694 seconds 0: number of documents: 210604984 0: > dataset split: 0: train: 0: document indices in [0, 199864130) total of 199864130 documents 0: validation: 0: document indices in [199864130, 210394379) total of 10530249 documents 0: test: 0: document indices in [210394379, 210604984) total of 210605 documents 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 14.696531 0: using: 0: number of documents: 199864130 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 173377816 0: > elasped time to build and save sample-idx mapping (seconds): 4.313637 0: > building shuffle index with split [0, 173377816) and [173377816, 173377816) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 10.367859 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_10498047ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_10498047ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_10498047ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.139 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 0.484539 0: using: 0: number of documents: 10530249 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 9118344 0: > elasped time to build and save sample-idx mapping (seconds): 0.216016 0: > building shuffle index with split [0, 9118344) and [9118344, 9118344) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.293205 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_10752ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_10752ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_10752ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.057 seconds 0: total number of samples: 9118345 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.014 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-28 12:55:09 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: 16123.50 | train/valid/test-data-iterators-setup: 45138.23 0: [000-000] 0.6187B / 0.5383B 0: [before the start of training step] datetime: 2022-11-28 12:55:09 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 6409.56689453125 | max allocated: 34826.62890625 | reserved: 38832.0 | max reserved: 38832.0 7: iteration 10/ 41007 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 2.87 | learning rate: 4.877E-06 | global batch size: 256 | lm loss: 1.044542E+01 | grad norm: 8.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 89.326 | TFLOPs: 12.27 | 7: iteration 20/ 41007 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.78 | learning rate: 9.754E-06 | global batch size: 256 | lm loss: 8.865919E+00 | grad norm: 2.780 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.191 | TFLOPs: 44.94 | 7: iteration 30/ 41007 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.81 | learning rate: 1.463E-05 | global batch size: 256 | lm loss: 8.445808E+00 | grad norm: 1.951 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.129 | TFLOPs: 43.56 | 7: iteration 40/ 41007 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.76 | learning rate: 1.951E-05 | global batch size: 256 | lm loss: 8.072883E+00 | grad norm: 3.008 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.494 | TFLOPs: 46.08 | 7: iteration 50/ 41007 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.78 | learning rate: 2.439E-05 | global batch size: 256 | lm loss: 7.711093E+00 | grad norm: 2.848 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.352 | TFLOPs: 45.10 | 7: iteration 60/ 41007 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.79 | learning rate: 2.926E-05 | global batch size: 256 | lm loss: 7.425810E+00 | grad norm: 1.623 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.021 | TFLOPs: 44.37 | 7: iteration 70/ 41007 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.80 | learning rate: 3.414E-05 | global batch size: 256 | lm loss: 7.108054E+00 | grad norm: 1.753 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.633 | TFLOPs: 43.77 | 7: iteration 80/ 41007 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.79 | learning rate: 3.902E-05 | global batch size: 256 | lm loss: 6.827570E+00 | grad norm: 2.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.177 | TFLOPs: 44.39 | 7: iteration 90/ 41007 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.80 | learning rate: 4.389E-05 | global batch size: 256 | lm loss: 6.664248E+00 | grad norm: 1.927 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.026 | TFLOPs: 43.68 | 7: iteration 100/ 41007 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.81 | learning rate: 4.877E-05 | global batch size: 256 | lm loss: 6.487297E+00 | grad norm: 1.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.176 | TFLOPs: 43.15 | 7: iteration 110/ 41007 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.80 | learning rate: 5.365E-05 | global batch size: 256 | lm loss: 6.362553E+00 | grad norm: 1.872 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.009 | TFLOPs: 44.09 | 7: iteration 120/ 41007 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.80 | learning rate: 5.853E-05 | global batch size: 256 | lm loss: 6.253444E+00 | grad norm: 2.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.141 | TFLOPs: 43.97 | 7: iteration 130/ 41007 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.78 | learning rate: 6.340E-05 | global batch size: 256 | lm loss: 6.124564E+00 | grad norm: 1.607 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.500 | TFLOPs: 44.85 | 7: iteration 140/ 41007 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.76 | learning rate: 6.828E-05 | global batch size: 256 | lm loss: 6.060037E+00 | grad norm: 2.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.777 | TFLOPs: 45.98 | 7: iteration 150/ 41007 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.80 | learning rate: 7.316E-05 | global batch size: 256 | lm loss: 5.999030E+00 | grad norm: 1.608 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.865 | TFLOPs: 44.07 | 7: iteration 160/ 41007 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.81 | learning rate: 7.803E-05 | global batch size: 256 | lm loss: 5.873832E+00 | grad norm: 1.759 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.431 | TFLOPs: 43.33 | 7: iteration 170/ 41007 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.76 | learning rate: 8.291E-05 | global batch size: 256 | lm loss: 5.854364E+00 | grad norm: 2.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.717 | TFLOPs: 46.25 | 7: iteration 180/ 41007 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.77 | learning rate: 8.779E-05 | global batch size: 256 | lm loss: 5.748880E+00 | grad norm: 1.911 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.818 | TFLOPs: 45.44 | 7: iteration 190/ 41007 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.78 | learning rate: 9.267E-05 | global batch size: 256 | lm loss: 5.714398E+00 | grad norm: 1.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.287 | TFLOPs: 45.23 | 7: iteration 200/ 41007 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.79 | learning rate: 9.754E-05 | global batch size: 256 | lm loss: 5.660495E+00 | grad norm: 1.908 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.587 | TFLOPs: 44.72 | 7: iteration 210/ 41007 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.80 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 5.631263E+00 | grad norm: 1.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.437 | TFLOPs: 43.88 | 7: iteration 220/ 41007 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.80 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 5.552514E+00 | grad norm: 1.925 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.592 | TFLOPs: 44.04 | 7: iteration 230/ 41007 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.79 | learning rate: 1.122E-04 | global batch size: 256 | lm loss: 5.519760E+00 | grad norm: 1.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.367 | TFLOPs: 44.28 | 7: iteration 240/ 41007 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.77 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 5.498798E+00 | grad norm: 1.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.062 | TFLOPs: 45.61 | 7: iteration 250/ 41007 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.81 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 5.423577E+00 | grad norm: 1.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.790 | TFLOPs: 43.65 | 7: iteration 260/ 41007 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.79 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 5.402665E+00 | grad norm: 1.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.962 | TFLOPs: 44.77 | 7: iteration 270/ 41007 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.78 | learning rate: 1.317E-04 | global batch size: 256 | lm loss: 5.334037E+00 | grad norm: 1.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.813 | TFLOPs: 44.89 | 7: iteration 280/ 41007 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.78 | learning rate: 1.366E-04 | global batch size: 256 | lm loss: 5.313603E+00 | grad norm: 1.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.650 | TFLOPs: 45.14 | 7: iteration 290/ 41007 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.79 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 5.252866E+00 | grad norm: 1.112 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.757 | TFLOPs: 44.33 | 7: iteration 300/ 41007 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.79 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 5.182785E+00 | grad norm: 1.045 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.127 | TFLOPs: 44.66 | 7: iteration 310/ 41007 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.77 | learning rate: 1.512E-04 | global batch size: 256 | lm loss: 5.208559E+00 | grad norm: 0.748 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.507 | TFLOPs: 45.67 | 7: iteration 320/ 41007 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.78 | learning rate: 1.561E-04 | global batch size: 256 | lm loss: 5.172923E+00 | grad norm: 1.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.331 | TFLOPs: 44.82 | 7: iteration 330/ 41007 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.78 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 5.137994E+00 | grad norm: 1.003 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.965 | TFLOPs: 45.05 | 7: iteration 340/ 41007 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.78 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 5.099586E+00 | grad norm: 1.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.473 | TFLOPs: 45.26 | 7: iteration 350/ 41007 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.77 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 5.044517E+00 | grad norm: 1.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.678 | TFLOPs: 45.56 | 7: iteration 360/ 41007 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.77 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 4.990760E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.876 | TFLOPs: 45.86 | 7: iteration 370/ 41007 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.77 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 4.928168E+00 | grad norm: 0.931 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.453 | TFLOPs: 45.94 | 7: iteration 380/ 41007 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.78 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 4.938952E+00 | grad norm: 0.977 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.083 | TFLOPs: 45.34 | 7: iteration 390/ 41007 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.78 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 4.882853E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.804 | TFLOPs: 45.03 | 7: iteration 400/ 41007 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.77 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 4.883307E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.109 | TFLOPs: 45.48 | 7: iteration 410/ 41007 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.825300E+00 | grad norm: 0.746 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.822 | TFLOPs: 45.85 | 7: iteration 420/ 41007 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.845645E+00 | grad norm: 1.041 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.007 | TFLOPs: 45.33 | 7: iteration 430/ 41007 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.778254E+00 | grad norm: 0.873 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.702 | TFLOPs: 45.56 | 7: iteration 440/ 41007 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.721005E+00 | grad norm: 0.749 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.459 | TFLOPs: 45.25 | 7: iteration 450/ 41007 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.668882E+00 | grad norm: 0.644 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.046 | TFLOPs: 45.88 | 7: iteration 460/ 41007 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.671474E+00 | grad norm: 0.986 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.852 | TFLOPs: 46.13 | 7: iteration 470/ 41007 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.649552E+00 | grad norm: 0.950 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.828 | TFLOPs: 46.54 | 7: iteration 480/ 41007 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.598825E+00 | grad norm: 0.829 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.042 | TFLOPs: 45.61 | 7: iteration 490/ 41007 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.519448E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.455 | TFLOPs: 45.67 | 7: iteration 500/ 41007 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.491373E+00 | grad norm: 0.783 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.859 | TFLOPs: 44.90 | 7: iteration 510/ 41007 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.481355E+00 | grad norm: 0.981 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.725 | TFLOPs: 45.70 | 7: iteration 520/ 41007 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.440141E+00 | grad norm: 0.829 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.256 | TFLOPs: 46.05 | 7: iteration 530/ 41007 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.371823E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.870 | TFLOPs: 45.86 | 7: iteration 540/ 41007 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.387651E+00 | grad norm: 0.821 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.195 | TFLOPs: 45.63 | 7: iteration 550/ 41007 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.359680E+00 | grad norm: 0.851 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.866 | TFLOPs: 46.00 | 7: iteration 560/ 41007 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.349218E+00 | grad norm: 0.963 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.230 | TFLOPs: 45.22 | 7: iteration 570/ 41007 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.267207E+00 | grad norm: 0.834 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.544 | TFLOPs: 46.09 | 7: iteration 580/ 41007 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.185279E+00 | grad norm: 0.829 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.703 | TFLOPs: 45.56 | 7: iteration 590/ 41007 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.118388E+00 | grad norm: 1.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.802 | TFLOPs: 45.85 | 7: iteration 600/ 41007 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.070916E+00 | grad norm: 0.844 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.691 | TFLOPs: 46.52 | 7: iteration 610/ 41007 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.034443E+00 | grad norm: 0.804 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.307 | TFLOPs: 45.78 | 7: iteration 620/ 41007 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.948252E+00 | grad norm: 0.980 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.977 | TFLOPs: 45.05 | 7: iteration 630/ 41007 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.985697E+00 | grad norm: 0.845 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.763 | TFLOPs: 46.26 | 7: iteration 640/ 41007 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.864918E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.160 | TFLOPs: 45.35 | 7: iteration 650/ 41007 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.855592E+00 | grad norm: 0.620 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.118 | TFLOPs: 44.93 | 7: iteration 660/ 41007 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.797879E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.810 | TFLOPs: 45.30 | 7: iteration 670/ 41007 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.727069E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.803 | TFLOPs: 45.99 | 7: iteration 680/ 41007 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.717688E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.831 | TFLOPs: 46.13 | 7: iteration 690/ 41007 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.703288E+00 | grad norm: 0.786 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.673 | TFLOPs: 45.42 | 7: iteration 700/ 41007 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.686848E+00 | grad norm: 0.717 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.289 | TFLOPs: 45.37 | 7: iteration 710/ 41007 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.663086E+00 | grad norm: 0.866 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.407 | TFLOPs: 45.93 | 7: iteration 720/ 41007 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.678688E+00 | grad norm: 0.592 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.981 | TFLOPs: 46.29 | 7: iteration 730/ 41007 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.636741E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.989 | TFLOPs: 45.60 | 7: iteration 740/ 41007 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.590139E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.054 | TFLOPs: 45.61 | 7: iteration 750/ 41007 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.546871E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.887 | TFLOPs: 45.18 | 7: iteration 760/ 41007 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.579907E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.043 | TFLOPs: 45.88 | 7: iteration 770/ 41007 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.573832E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.498 | TFLOPs: 46.22 | 7: iteration 780/ 41007 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.512119E+00 | grad norm: 0.657 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.659 | TFLOPs: 46.24 | 7: iteration 790/ 41007 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.488573E+00 | grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.726 | TFLOPs: 45.43 | 7: iteration 800/ 41007 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.460186E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.760 | TFLOPs: 46.53 | 7: iteration 810/ 41007 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.435504E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.750 | TFLOPs: 46.80 | 7: iteration 820/ 41007 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.80 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.473012E+00 | grad norm: 0.849 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.922 | TFLOPs: 44.08 | 7: iteration 830/ 41007 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.498423E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.885 | TFLOPs: 46.00 | 7: iteration 840/ 41007 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 3.406113E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.779 | TFLOPs: 44.89 | 7: iteration 850/ 41007 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.418053E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.126 | TFLOPs: 45.07 | 7: iteration 860/ 41007 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.393212E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.234 | TFLOPs: 45.09 | 7: iteration 870/ 41007 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.80 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.412014E+00 | grad norm: 0.737 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.700 | TFLOPs: 43.91 | 7: iteration 880/ 41007 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.444202E+00 | grad norm: 0.723 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.605 | TFLOPs: 45.69 | 7: iteration 890/ 41007 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.384859E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.823 | TFLOPs: 45.72 | 7: iteration 900/ 41007 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.354737E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.597 | TFLOPs: 46.37 | 7: iteration 910/ 41007 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.375641E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.096 | TFLOPs: 45.48 | 7: iteration 920/ 41007 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.367689E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.016 | TFLOPs: 46.15 | 7: iteration 930/ 41007 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.339798E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.014 | TFLOPs: 46.29 | 7: iteration 940/ 41007 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.314564E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.250 | TFLOPs: 45.23 | 7: iteration 950/ 41007 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.322832E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.235 | TFLOPs: 45.77 | 7: iteration 960/ 41007 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.291735E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.842 | TFLOPs: 45.17 | 7: iteration 970/ 41007 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.292290E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.660 | TFLOPs: 46.24 | 7: iteration 980/ 41007 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.247168E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.181 | TFLOPs: 44.80 | 7: iteration 990/ 41007 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.262872E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.515 | TFLOPs: 46.09 | 7: iteration 1000/ 41007 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.248581E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.321 | TFLOPs: 44.82 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 3.203462E+00 | lm loss PPL: 2.461761E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_619m22b 0: [2022-11-28 13:08:26,642] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-28 13:08:26,698] [INFO] 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[Torch] Saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-28 13:08:28,226] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: [2022-11-28 13:08:28,226] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-28 13:08:28,226] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-28 13:08:28,226] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: [2022-11-28 13:08:28,226] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2022-11-28 13:08:28,238] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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13:08:28,238] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-28 13:08:28,238] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2022-11-28 13:08:28,239] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-28 13:08:28,239] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-28 13:08:28,239] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2022-11-28 13:08:28,239] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-28 13:08:28,239] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-28 13:08:28,239] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: [2022-11-28 13:08:28,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 13:08:28,337] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1704.59 7: iteration 1010/ 41007 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.99 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.278297E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.938 | TFLOPs: 35.43 | 7: iteration 1020/ 41007 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.242531E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.449 | TFLOPs: 45.25 | 7: iteration 1030/ 41007 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.237495E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.960 | TFLOPs: 45.05 | 7: iteration 1040/ 41007 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.79 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.280837E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.281 | TFLOPs: 44.27 | 7: iteration 1050/ 41007 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.267395E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.150 | TFLOPs: 45.49 | 7: iteration 1060/ 41007 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.216840E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.886 | TFLOPs: 46.27 | 7: iteration 1070/ 41007 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.205431E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.862 | TFLOPs: 46.00 | 7: iteration 1080/ 41007 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.156927E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.211 | TFLOPs: 45.77 | 7: iteration 1090/ 41007 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.187342E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.697 | TFLOPs: 46.25 | 7: iteration 1100/ 41007 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.224953E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.006 | TFLOPs: 45.19 | 7: iteration 1110/ 41007 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.176406E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.092 | TFLOPs: 45.89 | 7: iteration 1120/ 41007 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.201100E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.355 | TFLOPs: 44.83 | 7: iteration 1130/ 41007 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.79 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.197852E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.933 | TFLOPs: 44.49 | 7: iteration 1140/ 41007 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.154816E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.175 | TFLOPs: 45.49 | 7: iteration 1150/ 41007 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.188928E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.509 | TFLOPs: 46.50 | 7: iteration 1160/ 41007 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.167269E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.987 | TFLOPs: 45.33 | 7: iteration 1170/ 41007 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.166796E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.132 | TFLOPs: 45.35 | 7: iteration 1180/ 41007 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.180926E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.141 | TFLOPs: 45.35 | 7: iteration 1190/ 41007 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.79 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.185468E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.825 | TFLOPs: 44.75 | 7: iteration 1200/ 41007 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.79 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.166468E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.913 | TFLOPs: 44.49 | 7: iteration 1210/ 41007 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.150801E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.101 | TFLOPs: 45.07 | 7: iteration 1220/ 41007 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.80 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.089081E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.506 | TFLOPs: 44.02 | 7: iteration 1230/ 41007 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.81 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.140940E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.139 | TFLOPs: 43.42 | 7: iteration 1240/ 41007 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.111273E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.262 | TFLOPs: 44.81 | 7: iteration 1250/ 41007 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.115407E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.579 | TFLOPs: 45.27 | 7: iteration 1260/ 41007 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.056722E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.428 | TFLOPs: 46.07 | 7: iteration 1270/ 41007 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.80 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.119198E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.567 | TFLOPs: 43.90 | 7: iteration 1280/ 41007 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.134993E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.864 | TFLOPs: 46.27 | 7: iteration 1290/ 41007 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.016022E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.872 | TFLOPs: 45.17 | 7: iteration 1300/ 41007 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.087798E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.795 | TFLOPs: 45.03 | 7: iteration 1310/ 41007 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.064172E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.997 | TFLOPs: 45.05 | 7: iteration 1320/ 41007 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.059508E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.470 | TFLOPs: 46.08 | 7: iteration 1330/ 41007 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.064981E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.507 | TFLOPs: 46.36 | 7: iteration 1340/ 41007 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.77 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.074964E+00 | grad norm: 0.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.060 | TFLOPs: 45.61 | 7: iteration 1350/ 41007 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.049425E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.049 | TFLOPs: 45.33 | 7: iteration 1360/ 41007 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.015911E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.620 | TFLOPs: 45.28 | 7: iteration 1370/ 41007 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.056029E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.585 | TFLOPs: 46.37 | 7: iteration 1380/ 41007 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.049360E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.488 | TFLOPs: 46.08 | 7: iteration 1390/ 41007 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.043463E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.024 | TFLOPs: 45.61 | 7: iteration 1400/ 41007 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.085261E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.925 | TFLOPs: 45.73 | 7: iteration 1410/ 41007 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.048849E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.240 | TFLOPs: 45.50 | 7: iteration 1420/ 41007 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.001048E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.676 | TFLOPs: 45.83 | 7: iteration 1430/ 41007 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.79 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.000250E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.252 | TFLOPs: 44.68 | 7: iteration 1440/ 41007 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.030328E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.726 | TFLOPs: 45.70 | 7: iteration 1450/ 41007 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.018529E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.821 | TFLOPs: 45.99 | 7: iteration 1460/ 41007 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.030994E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.625 | TFLOPs: 46.24 | 7: iteration 1470/ 41007 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.78 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.000483E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.736 | TFLOPs: 45.02 | 7: iteration 1480/ 41007 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.022641E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.722 | TFLOPs: 46.39 | 7: iteration 1490/ 41007 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.78 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.034231E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.446 | TFLOPs: 44.98 | 7: iteration 1500/ 41007 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.008789E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.457 | TFLOPs: 45.53 | 7: iteration 1510/ 41007 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.78 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.015689E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.116 | TFLOPs: 45.07 | 7: iteration 1520/ 41007 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.049548E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.840 | TFLOPs: 45.58 | 7: iteration 1530/ 41007 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.016134E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.300 | TFLOPs: 46.06 | 7: iteration 1540/ 41007 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.75 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.018817E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.178 | TFLOPs: 46.73 | 7: iteration 1550/ 41007 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.78 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 2.988559E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.676 | TFLOPs: 44.87 | 7: iteration 1560/ 41007 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.78 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 2.967599E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.419 | TFLOPs: 44.97 | 7: iteration 1570/ 41007 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.78 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 2.957261E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.546 | TFLOPs: 44.99 | 7: iteration 1580/ 41007 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.77 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 2.983161E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.609 | TFLOPs: 45.96 | 7: iteration 1590/ 41007 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.79 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 2.986253E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.637 | TFLOPs: 44.45 | 7: iteration 1600/ 41007 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.77 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 2.955008E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.362 | TFLOPs: 45.93 | 7: iteration 1610/ 41007 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.79 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 2.939713E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.044 | TFLOPs: 44.37 | 7: iteration 1620/ 41007 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.76 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 2.938432E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 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| number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.986 | TFLOPs: 46.01 | 7: iteration 1950/ 41007 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.77 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 2.837174E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.511 | TFLOPs: 45.67 | 7: iteration 1960/ 41007 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.77 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 2.892789E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.348 | TFLOPs: 45.93 | 7: iteration 1970/ 41007 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.77 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.895236E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.166 | TFLOPs: 45.49 | 7: iteration 1980/ 41007 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.78 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.863656E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.107 | TFLOPs: 45.21 | 7: iteration 1990/ 41007 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.890759E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.601 | TFLOPs: 46.23 | 0: [2022-11-28 13:21:21,054] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.0001993196875722653, 0.0001993196875722653, 0.0001993196875722653], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 41007 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.880035E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.944 | TFLOPs: 46.14 | 0: steps: 2000 loss: 2.9596 iter time (s): 0.783 samples/sec: 327.132 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 2.766982E+00 | lm loss PPL: 1.591055E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_619m22b 0: [2022-11-28 13:21:21,327] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-28 13:21:21,331] [INFO] 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1: [2022-11-28 13:21:23,250] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-28 13:21:23,250] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-28 13:21:23,250] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-28 13:21:23,250] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-28 13:21:23,250] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-28 13:21:23,250] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-28 13:21:23,253] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-28 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checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-28 13:21:23,289] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2022-11-28 13:21:23,290] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-28 13:21:23,290] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-28 13:21:23,290] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2022-11-28 13:21:23,290] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-28 13:21:23,290] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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Checkpoint global_step2000 is ready now! 2: [2022-11-28 13:21:23,316] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-28 13:21:23,316] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-28 13:21:23,316] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-28 13:21:23,316] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-28 13:21:23,327] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-28 13:21:23,328] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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2.889777E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 251.508 | TFLOPs: 34.55 | 7: iteration 2020/ 41007 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.903315E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.233 | TFLOPs: 46.32 | 7: iteration 2030/ 41007 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.827159E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.427 | TFLOPs: 46.35 | 7: iteration 2040/ 41007 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.75 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.849784E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.551 | TFLOPs: 46.64 | 7: iteration 2050/ 41007 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.77 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.876807E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.903 | TFLOPs: 45.59 | 7: iteration 2060/ 41007 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.850700E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.845 | TFLOPs: 46.27 | 7: iteration 2070/ 41007 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.77 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 2.829592E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.621 | TFLOPs: 45.96 | 7: iteration 2080/ 41007 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.76 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 2.849271E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.406 | TFLOPs: 46.48 | 7: iteration 2090/ 41007 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.75 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 2.839925E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.320 | TFLOPs: 46.61 | 7: iteration 2100/ 41007 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.76 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 2.833244E+00 | grad norm: 0.811 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.661 | TFLOPs: 46.11 | 7: iteration 2110/ 41007 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.77 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 2.825962E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.281 | TFLOPs: 45.64 | 7: iteration 2120/ 41007 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.76 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 2.842114E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.724 | TFLOPs: 45.98 | 7: iteration 2130/ 41007 | consumed samples: 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norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.825 | TFLOPs: 45.30 | 7: iteration 2280/ 41007 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.76 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 2.798538E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.297 | TFLOPs: 46.06 | 7: iteration 2290/ 41007 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.78 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.831381E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.230 | TFLOPs: 45.36 | 7: iteration 2300/ 41007 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.77 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.805097E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.550 | TFLOPs: 45.40 | 7: iteration 2310/ 41007 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.78 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.826197E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.956 | TFLOPs: 45.18 | 7: iteration 2320/ 41007 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.75 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.818345E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.150 | TFLOPs: 46.72 | 7: iteration 2330/ 41007 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.78 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.748129E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.816 | TFLOPs: 45.17 | 7: iteration 2340/ 41007 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.78 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.763142E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.056 | TFLOPs: 45.34 | 7: iteration 2350/ 41007 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.77 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.788843E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.721 | TFLOPs: 45.84 | 7: iteration 2360/ 41007 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.77 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.806587E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.411 | TFLOPs: 45.93 | 7: iteration 2370/ 41007 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.77 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.815344E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.520 | TFLOPs: 45.95 | 7: iteration 2380/ 41007 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.75 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.796289E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.345 | TFLOPs: 46.89 | 7: iteration 2390/ 41007 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.78 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.783718E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.890 | TFLOPs: 45.18 | 7: iteration 2400/ 41007 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.76 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.827869E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.690 | TFLOPs: 46.38 | 7: iteration 2410/ 41007 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.77 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.790213E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.928 | TFLOPs: 45.87 | 7: iteration 2420/ 41007 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.76 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.782065E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.230 | TFLOPs: 46.05 | 7: iteration 2430/ 41007 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.76 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.787446E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.148 | TFLOPs: 46.31 | 7: iteration 2440/ 41007 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.78 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.758616E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.077 | TFLOPs: 45.06 | 7: iteration 2450/ 41007 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.77 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.782165E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.193 | TFLOPs: 45.77 | 7: iteration 2460/ 41007 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.78 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.804104E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.531 | TFLOPs: 45.26 | 7: iteration 2470/ 41007 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.78 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.776065E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.562 | TFLOPs: 45.27 | 7: iteration 2480/ 41007 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.78 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.756537E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.877 | TFLOPs: 45.17 | 7: iteration 2490/ 41007 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.77 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.753419E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.856 | TFLOPs: 45.58 | 7: iteration 2500/ 41007 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.76 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.831673E+00 | grad norm: 1.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.964 | TFLOPs: 46.42 | 7: iteration 2510/ 41007 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.76 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.854496E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.621 | TFLOPs: 46.24 | 7: iteration 2520/ 41007 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.76 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.783540E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.667 | TFLOPs: 45.97 | 7: iteration 2530/ 41007 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.77 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.781940E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.337 | TFLOPs: 45.51 | 7: iteration 2540/ 41007 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.77 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.757060E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.186 | TFLOPs: 45.63 | 7: iteration 2550/ 41007 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.77 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.731382E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.610 | TFLOPs: 45.96 | 7: iteration 2560/ 41007 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.77 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.741416E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.072 | TFLOPs: 45.75 | 7: iteration 2570/ 41007 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.77 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.757191E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.432 | TFLOPs: 45.39 | 7: iteration 2580/ 41007 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.76 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.760559E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.648 | TFLOPs: 46.10 | 7: iteration 2590/ 41007 | consumed samples: 663040 | consumed tokens: 1357905920 | elapsed time per iteration (s): 0.77 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.783086E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.457 | TFLOPs: 45.94 | 7: iteration 2600/ 41007 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.80 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.732697E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.709 | TFLOPs: 43.91 | 7: iteration 2610/ 41007 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.75 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.769977E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.199 | TFLOPs: 46.87 | 7: iteration 2620/ 41007 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.76 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.777170E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.515 | TFLOPs: 46.09 | 7: iteration 2630/ 41007 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.76 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.750744E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.484 | TFLOPs: 46.22 | 7: iteration 2640/ 41007 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.79 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.794567E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.254 | TFLOPs: 44.26 | 7: iteration 2650/ 41007 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.79 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.764471E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.205 | TFLOPs: 44.26 | 7: iteration 2660/ 41007 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 0.77 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.736606E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.457 | TFLOPs: 45.39 | 7: iteration 2670/ 41007 | consumed samples: 683520 | consumed tokens: 1399848960 | elapsed time per iteration (s): 0.76 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.743100E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.094 | TFLOPs: 46.30 | 7: iteration 2680/ 41007 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 0.76 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.708444E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.682 | TFLOPs: 46.11 | 7: iteration 2690/ 41007 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.76 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.732601E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.071 | TFLOPs: 46.16 | 7: iteration 2700/ 41007 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.75 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.745202E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.428 | TFLOPs: 46.62 | 7: iteration 2710/ 41007 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.77 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.706989E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.193 | TFLOPs: 45.63 | 7: iteration 2720/ 41007 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.78 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.764342E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.846 | TFLOPs: 45.31 | 7: iteration 2730/ 41007 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.76 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.723957E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.392 | TFLOPs: 46.34 | 7: iteration 2740/ 41007 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.76 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.701697E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.763 | TFLOPs: 46.53 | 7: iteration 2750/ 41007 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.76 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.709144E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.757 | TFLOPs: 46.53 | 7: iteration 2760/ 41007 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.78 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.722902E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.182 | TFLOPs: 45.35 | 7: iteration 2770/ 41007 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.76 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.746643E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.856 | TFLOPs: 46.13 | 7: iteration 2780/ 41007 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.76 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.734527E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.813 | TFLOPs: 46.40 | 7: iteration 2790/ 41007 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.79 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.747471E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.177 | TFLOPs: 44.67 | 7: iteration 2800/ 41007 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.77 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.768464E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.384 | TFLOPs: 45.38 | 7: iteration 2810/ 41007 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.75 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.688577E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.621 | TFLOPs: 46.79 | 7: iteration 2820/ 41007 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.76 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.762025E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.625 | TFLOPs: 46.51 | 7: iteration 2830/ 41007 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.77 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.753590E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.834 | TFLOPs: 45.72 | 7: iteration 2840/ 41007 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.82 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.710315E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.843 | TFLOPs: 43.11 | 7: iteration 2850/ 41007 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.77 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.731023E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.780 | TFLOPs: 45.57 | 7: iteration 2860/ 41007 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.76 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.726189E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.534 | TFLOPs: 46.36 | 7: iteration 2870/ 41007 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.78 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.735857E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.982 | TFLOPs: 45.33 | 7: iteration 2880/ 41007 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.77 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.724119E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.526 | TFLOPs: 45.54 | 7: iteration 2890/ 41007 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.78 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.707858E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.249 | TFLOPs: 45.23 | 7: iteration 2900/ 41007 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.77 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.710951E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.644 | TFLOPs: 45.42 | 7: iteration 2910/ 41007 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.76 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.716153E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.527 | TFLOPs: 46.22 | 7: iteration 2920/ 41007 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.76 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.679477E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.096 | TFLOPs: 46.44 | 7: iteration 2930/ 41007 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.76 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.676776E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.901 | TFLOPs: 46.00 | 7: iteration 2940/ 41007 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.76 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.685744E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.350 | TFLOPs: 46.20 | 7: iteration 2950/ 41007 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.77 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.678967E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.553 | TFLOPs: 45.54 | 7: iteration 2960/ 41007 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.77 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.730719E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.386 | TFLOPs: 45.66 | 7: iteration 2970/ 41007 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.78 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.737299E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.231 | TFLOPs: 44.95 | 7: iteration 2980/ 41007 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.78 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.711641E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.532 | TFLOPs: 44.99 | 7: iteration 2990/ 41007 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.76 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.701712E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.984 | TFLOPs: 46.15 | 7: iteration 3000/ 41007 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.77 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.706048E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.476 | TFLOPs: 45.67 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 2.647649E+00 | lm loss PPL: 1.412080E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_619m22b 0: [2022-11-28 13:34:11,397] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-28 13:34:11,400] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-28 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checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 7: [2022-11-28 13:34:12,866] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-28 13:34:12,866] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: [2022-11-28 13:34:12,873] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 13:34:12,873] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-28 13:34:12,868] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-28 13:34:12,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-28 13:34:12,869] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-28 13:34:12,869] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-28 13:34:12,869] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-28 13:34:12,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-28 13:34:12,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-28 13:34:12,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-28 13:34:12,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-28 13:34:12,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-28 13:34:12,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: successfully saved checkpoint at iteration 3000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1535.71 7: iteration 3010/ 41007 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.95 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.685947E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.573 | TFLOPs: 37.17 | 7: iteration 3020/ 41007 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.79 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.705315E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.436 | TFLOPs: 44.56 | 7: iteration 3030/ 41007 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.77 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.661985E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.524 | TFLOPs: 45.40 | 7: iteration 3040/ 41007 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.76 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.700698E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.399 | TFLOPs: 46.07 | 7: iteration 3050/ 41007 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.77 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.705947E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.643 | TFLOPs: 45.83 | 7: iteration 3060/ 41007 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.77 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.724429E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.907 | TFLOPs: 45.45 | 7: iteration 3070/ 41007 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.77 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.725216E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.124 | TFLOPs: 45.89 | 7: iteration 3080/ 41007 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.77 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.694983E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.544 | TFLOPs: 45.82 | 7: iteration 3090/ 41007 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.77 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.695140E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.039 | TFLOPs: 45.88 | 7: iteration 3100/ 41007 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.80 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.722179E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.941 | TFLOPs: 44.22 | 7: iteration 3110/ 41007 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.78 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.656844E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.298 | TFLOPs: 44.82 | 7: iteration 3120/ 41007 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.78 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.699874E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.367 | TFLOPs: 44.97 | 7: iteration 3130/ 41007 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.79 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.693849E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.293 | TFLOPs: 44.27 | 7: iteration 3140/ 41007 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.76 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.664668E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.945 | TFLOPs: 46.28 | 7: iteration 3150/ 41007 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.77 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.704057E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.476 | TFLOPs: 45.94 | 7: iteration 3160/ 41007 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.77 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.658680E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.121 | TFLOPs: 45.48 | 7: iteration 3170/ 41007 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.76 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.671734E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.990 | TFLOPs: 46.29 | 7: iteration 3180/ 41007 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.689460E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.854 | TFLOPs: 45.99 | 7: iteration 3190/ 41007 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.646878E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.496 | TFLOPs: 46.36 | 7: iteration 3200/ 41007 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.653440E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.353 | TFLOPs: 46.20 | 7: iteration 3210/ 41007 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.705407E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.711 | TFLOPs: 45.98 | 7: iteration 3220/ 41007 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.666525E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.333 | TFLOPs: 46.20 | 7: iteration 3230/ 41007 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.75 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.690273E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.719 | TFLOPs: 47.08 | 7: iteration 3240/ 41007 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.77 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.665150E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.358 | TFLOPs: 45.93 | 7: iteration 3250/ 41007 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.77 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.675421E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.059 | TFLOPs: 45.75 | 7: iteration 3260/ 41007 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.77 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.833599E+00 | grad norm: 0.883 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.765 | TFLOPs: 45.71 | 7: iteration 3270/ 41007 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.77 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.882402E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.618 | TFLOPs: 45.69 | 7: iteration 3280/ 41007 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.77 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.827521E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.769 | TFLOPs: 45.85 | 7: iteration 3290/ 41007 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.76 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.733893E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.467 | TFLOPs: 46.49 | 7: iteration 3300/ 41007 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.76 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.775692E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.485 | TFLOPs: 46.49 | 7: iteration 3310/ 41007 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.78 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.725941E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.405 | TFLOPs: 45.25 | 7: iteration 3320/ 41007 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.78 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.726877E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.806 | TFLOPs: 45.03 | 7: iteration 3330/ 41007 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.77 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.728059E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.596 | TFLOPs: 45.96 | 7: iteration 3340/ 41007 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.78 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.713879E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.379 | TFLOPs: 45.11 | 7: iteration 3350/ 41007 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.78 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.698130E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.341 | TFLOPs: 45.10 | 7: iteration 3360/ 41007 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.76 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.685950E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.504 | TFLOPs: 46.36 | 7: iteration 3370/ 41007 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.78 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.703937E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.451 | TFLOPs: 45.12 | 7: iteration 3380/ 41007 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.76 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.684488E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.949 | TFLOPs: 46.15 | 7: iteration 3390/ 41007 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.75 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.680208E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.650 | TFLOPs: 46.65 | 7: iteration 3400/ 41007 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.79 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.651538E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.052 | TFLOPs: 44.79 | 7: iteration 3410/ 41007 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.78 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.712515E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.166 | TFLOPs: 44.94 | 7: iteration 3420/ 41007 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.77 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.698309E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.733 | TFLOPs: 45.84 | 7: iteration 3430/ 41007 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.77 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.653434E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.491 | TFLOPs: 45.81 | 7: iteration 3440/ 41007 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.77 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.625432E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.908 | TFLOPs: 45.45 | 7: iteration 3450/ 41007 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.76 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.687979E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.930 | TFLOPs: 46.28 | 7: iteration 3460/ 41007 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.78 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.659955E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.034 | TFLOPs: 45.06 | 7: iteration 3470/ 41007 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.76 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.690362E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.320 | TFLOPs: 46.33 | 7: iteration 3480/ 41007 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.77 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.685571E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.954 | TFLOPs: 45.73 | 7: iteration 3490/ 41007 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.76 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.655954E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.402 | TFLOPs: 46.21 | 7: iteration 3500/ 41007 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.76 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.651208E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.803 | TFLOPs: 45.99 | 7: iteration 3510/ 41007 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.77 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.664954E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.617 | TFLOPs: 45.69 | 7: iteration 3520/ 41007 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.76 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.642055E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.367 | TFLOPs: 46.48 | 7: iteration 3530/ 41007 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.79 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.652592E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.111 | TFLOPs: 44.38 | 7: iteration 3540/ 41007 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.77 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.816209E+00 | grad norm: 5.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.845 | TFLOPs: 45.58 | 7: iteration 3550/ 41007 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.77 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.969855E+00 | grad norm: 1.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.528 | TFLOPs: 45.68 | 7: iteration 3560/ 41007 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.77 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.838890E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.435 | TFLOPs: 45.53 | 7: iteration 3570/ 41007 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.78 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.747612E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.822 | TFLOPs: 45.17 | 7: iteration 3580/ 41007 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.77 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.726330E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.426 | TFLOPs: 45.66 | 7: iteration 3590/ 41007 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.75 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.664930E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.910 | TFLOPs: 46.69 | 7: iteration 3600/ 41007 | consumed samples: 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7: iteration 4000/ 41007 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.76 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.604454E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.150 | TFLOPs: 46.45 | 0: steps: 4000 loss: 2.5675 iter time (s): 0.766 samples/sec: 334.128 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 2.685785E+00 | lm loss PPL: 1.466971E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_619m22b 0: [2022-11-28 13:47:03,649] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-28 13:47:03,654] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_619m22b/global_step4000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-28 13:47:05,030] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 7: [2022-11-28 13:47:05,030] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 4: [2022-11-28 13:47:05,047] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 6: [2022-11-28 13:47:05,030] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-28 13:47:05,030] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-28 13:47:05,030] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 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[2022-11-28 13:47:05,051] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step4000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 7: [2022-11-28 13:47:05,049] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-28 13:47:05,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step4000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 5: [2022-11-28 13:47:05,051] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-28 13:47:05,049] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step4000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 6: [2022-11-28 13:47:05,052] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-28 13:47:05,052] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] 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[2022-11-28 13:47:05,101] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-28 13:47:05,101] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1517.59 7: iteration 4010/ 41007 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.94 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.613285E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.416 | TFLOPs: 37.28 | 7: iteration 4020/ 41007 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.76 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.644120E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.667 | TFLOPs: 46.52 | 7: iteration 4030/ 41007 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.77 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.611881E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.932 | TFLOPs: 45.46 | 7: iteration 4040/ 41007 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.77 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.587713E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.917 | TFLOPs: 45.73 | 7: iteration 4050/ 41007 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.77 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.600177E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.118 | TFLOPs: 45.89 | 7: iteration 4060/ 41007 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.76 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.674163E+00 | grad norm: 12.718 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.230 | TFLOPs: 46.32 | 7: iteration 4070/ 41007 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.78 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.791756E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.131 | TFLOPs: 45.07 | 7: iteration 4080/ 41007 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.77 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.714416E+00 | grad norm: 1.005 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.562 | TFLOPs: 45.68 | 7: iteration 4090/ 41007 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.77 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.716426E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.596 | TFLOPs: 45.68 | 7: iteration 4100/ 41007 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.77 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.683178E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.035 | TFLOPs: 45.47 | 7: iteration 4110/ 41007 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.77 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 2.629733E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.065 | TFLOPs: 45.75 | 7: iteration 4120/ 41007 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.76 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 2.610524E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.939 | TFLOPs: 46.28 | 7: iteration 4130/ 41007 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.76 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 2.606832E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.808 | TFLOPs: 46.26 | 7: iteration 4140/ 41007 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.77 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 2.617673E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.441 | TFLOPs: 45.53 | 7: iteration 4150/ 41007 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.78 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 2.627315E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.121 | TFLOPs: 45.07 | 7: iteration 4160/ 41007 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.77 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.624263E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.943 | TFLOPs: 45.60 | 7: iteration 4170/ 41007 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.76 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.597596E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.695 | TFLOPs: 46.39 | 7: iteration 4180/ 41007 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.77 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.616115E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.996 | TFLOPs: 45.74 | 7: iteration 4190/ 41007 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.77 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.581817E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.336 | TFLOPs: 45.79 | 7: iteration 4200/ 41007 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.77 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.615487E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.005 | TFLOPs: 45.60 | 7: iteration 4210/ 41007 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.77 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 2.611551E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.690 | TFLOPs: 45.42 | 7: iteration 4220/ 41007 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.77 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 2.628475E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.835 | TFLOPs: 45.72 | 7: iteration 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335.409 | TFLOPs: 46.07 | 7: iteration 4260/ 41007 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.79 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.610348E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.053 | TFLOPs: 44.79 | 7: iteration 4270/ 41007 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.78 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.569090E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.359 | TFLOPs: 45.24 | 7: iteration 4280/ 41007 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.77 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.605426E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.165 | TFLOPs: 45.76 | 7: iteration 4290/ 41007 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.76 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.588636E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.059 | TFLOPs: 46.44 | 7: iteration 4300/ 41007 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.77 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.604393E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.080 | TFLOPs: 45.61 | 7: iteration 4310/ 41007 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.77 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 2.593876E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.158 | TFLOPs: 45.62 | 7: iteration 4320/ 41007 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.77 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 2.591096E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.467 | TFLOPs: 45.94 | 7: iteration 4330/ 41007 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.77 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 2.566714E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.418 | TFLOPs: 45.94 | 7: iteration 4340/ 41007 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.76 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 2.628507E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.570 | TFLOPs: 46.09 | 7: iteration 4350/ 41007 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.77 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.598136E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.274 | TFLOPs: 45.92 | 7: iteration 4360/ 41007 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.76 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.590781E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.626 | TFLOPs: 46.51 | 7: iteration 4370/ 41007 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.77 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.624160E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.886 | TFLOPs: 45.86 | 7: iteration 4380/ 41007 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.75 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.588088E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.216 | TFLOPs: 46.73 | 7: iteration 4390/ 41007 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.76 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.618229E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.951 | TFLOPs: 46.56 | 7: iteration 4400/ 41007 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.76 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 2.597670E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.536 | TFLOPs: 46.09 | 7: iteration 4410/ 41007 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.78 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 2.573766E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.187 | TFLOPs: 45.08 | 7: iteration 4420/ 41007 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.76 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 2.584489E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.408 | TFLOPs: 46.48 | 7: iteration 4430/ 41007 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.76 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 2.559307E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.655 | TFLOPs: 45.97 | 7: iteration 4440/ 41007 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.75 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 2.595133E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.403 | TFLOPs: 46.76 | 7: iteration 4450/ 41007 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.76 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 2.598684E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.337 | TFLOPs: 46.06 | 7: iteration 4460/ 41007 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.76 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 2.536279E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.609 | TFLOPs: 46.51 | 7: iteration 4470/ 41007 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.75 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 2.575891E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.490 | TFLOPs: 46.63 | 7: iteration 4480/ 41007 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.76 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 2.594908E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.501 | TFLOPs: 46.08 | 7: iteration 4490/ 41007 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.79 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 2.551175E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.534 | TFLOPs: 44.71 | 7: iteration 4500/ 41007 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.77 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 2.582938E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.389 | TFLOPs: 45.93 | 7: iteration 4510/ 41007 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.77 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 2.563652E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.158 | TFLOPs: 45.62 | 7: iteration 4520/ 41007 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.76 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 2.585993E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.496 | TFLOPs: 46.50 | 7: iteration 4530/ 41007 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.76 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 2.610116E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.367 | TFLOPs: 46.20 | 7: iteration 4540/ 41007 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.77 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.589085E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.712 | TFLOPs: 45.56 | 7: iteration 4550/ 41007 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.77 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.563560E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.967 | TFLOPs: 45.74 | 7: iteration 4560/ 41007 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.76 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.580361E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.778 | TFLOPs: 46.26 | 7: iteration 4570/ 41007 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.76 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.566861E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.109 | TFLOPs: 46.17 | 7: iteration 4580/ 41007 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.77 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.584901E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.943 | TFLOPs: 45.60 | 7: iteration 4590/ 41007 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.77 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 2.546766E+00 | grad norm: 1.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.688 | TFLOPs: 45.56 | 7: iteration 4600/ 41007 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.75 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 2.694337E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.622 | TFLOPs: 46.65 | 7: iteration 4610/ 41007 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.78 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 2.605178E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.789 | TFLOPs: 45.02 | 7: iteration 4620/ 41007 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.76 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 2.598532E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.137 | TFLOPs: 46.31 | 7: iteration 4630/ 41007 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.77 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.607898E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.452 | TFLOPs: 45.39 | 7: iteration 4640/ 41007 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.77 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.614578E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.949 | TFLOPs: 45.46 | 7: iteration 4650/ 41007 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.76 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.572806E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.975 | TFLOPs: 46.29 | 7: iteration 4660/ 41007 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.76 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.570006E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.025 | TFLOPs: 46.57 | 7: iteration 4670/ 41007 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.78 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.551286E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.126 | TFLOPs: 45.21 | 7: iteration 4680/ 41007 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.78 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 2.567838E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.283 | TFLOPs: 44.96 | 7: iteration 4690/ 41007 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 0.76 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 2.590891E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.631 | TFLOPs: 46.10 | 7: iteration 4700/ 41007 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 0.76 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 2.574135E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.793 | TFLOPs: 45.99 | 7: iteration 4710/ 41007 | consumed samples: 1205760 | consumed tokens: 2469396480 | elapsed time per iteration (s): 0.76 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 2.550520E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.424 | TFLOPs: 46.35 | 7: iteration 4720/ 41007 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 0.77 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.570246E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.411 | TFLOPs: 45.52 | 7: iteration 4730/ 41007 | consumed samples: 1210880 | consumed tokens: 2479882240 | elapsed time per iteration (s): 0.77 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.544571E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.022 | TFLOPs: 45.47 | 7: iteration 4740/ 41007 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.76 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.567395E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.056 | TFLOPs: 46.57 | 7: iteration 4750/ 41007 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.78 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.561184E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.996 | TFLOPs: 44.92 | 7: iteration 4760/ 41007 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.77 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.566803E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.766 | TFLOPs: 45.57 | 7: iteration 4770/ 41007 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.76 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.593694E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.214 | TFLOPs: 46.18 | 7: iteration 4780/ 41007 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 0.79 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.549330E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.741 | TFLOPs: 44.61 | 7: iteration 4790/ 41007 | consumed samples: 1226240 | consumed tokens: 2511339520 | elapsed time per iteration (s): 0.77 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.572024E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.885 | TFLOPs: 45.72 | 7: iteration 4800/ 41007 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 0.79 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.587318E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.153 | TFLOPs: 44.66 | 7: iteration 4810/ 41007 | consumed samples: 1231360 | consumed tokens: 2521825280 | elapsed time per iteration (s): 0.77 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.572796E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.431 | TFLOPs: 45.80 | 7: iteration 4820/ 41007 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.76 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.557428E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.370 | TFLOPs: 46.48 | 7: iteration 4830/ 41007 | consumed samples: 1236480 | consumed tokens: 2532311040 | elapsed time per iteration (s): 0.78 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.545997E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.167 | TFLOPs: 45.08 | 7: iteration 4840/ 41007 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 0.77 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.521522E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.363 | TFLOPs: 45.52 | 7: iteration 4850/ 41007 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 0.75 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.556500E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.965 | TFLOPs: 46.83 | 7: iteration 4860/ 41007 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 0.77 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.588766E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.780 | TFLOPs: 45.57 | 7: iteration 4870/ 41007 | consumed samples: 1246720 | consumed tokens: 2553282560 | elapsed time per iteration (s): 0.76 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.547136E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.427 | TFLOPs: 46.35 | 7: iteration 4880/ 41007 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 0.76 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.591069E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.056 | TFLOPs: 46.43 | 7: iteration 4890/ 41007 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 0.77 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.570287E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.605 | TFLOPs: 45.96 | 7: iteration 4900/ 41007 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.79 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.541481E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.294 | TFLOPs: 44.27 | 7: iteration 4910/ 41007 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.77 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.528469E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.648 | TFLOPs: 45.83 | 7: iteration 4920/ 41007 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.81 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.573512E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.755 | TFLOPs: 43.23 | 7: iteration 4930/ 41007 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.78 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.551556E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.548 | TFLOPs: 45.27 | 7: iteration 4940/ 41007 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.81 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.563055E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.264 | TFLOPs: 43.44 | 7: iteration 4950/ 41007 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.79 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.583908E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.637 | TFLOPs: 44.32 | 7: iteration 4960/ 41007 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.78 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.553130E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.003 | TFLOPs: 45.33 | 7: iteration 4970/ 41007 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.84 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.547525E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.698 | TFLOPs: 41.85 | 7: iteration 4980/ 41007 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.77 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.562014E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.858 | TFLOPs: 45.45 | 7: iteration 4990/ 41007 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.77 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.540182E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.967 | TFLOPs: 45.74 | 7: iteration 5000/ 41007 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.76 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.535216E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.603 | TFLOPs: 46.37 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 2.567106E+00 | lm loss PPL: 1.302807E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_619m22b 0: [2022-11-28 13:59:54,851] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-28 13:59:54,914] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-28 13:59:55,253] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-28 13:59:55,253] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-28 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13:59:56,742] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step5000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-28 13:59:56,742] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step5000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-28 13:59:56,742] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step5000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-28 13:59:56,742] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step5000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-28 13:59:56,742] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step5000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-28 13:59:56,742] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step5000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-28 13:59:56,742] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1921.23 7: iteration 5010/ 41007 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.98 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.546063E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.494 | TFLOPs: 35.92 | 7: iteration 5020/ 41007 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.88 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.525127E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.587 | TFLOPs: 39.91 | 7: iteration 5030/ 41007 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.77 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.540522E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.523 | TFLOPs: 45.40 | 7: iteration 5040/ 41007 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.77 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.520354E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.221 | TFLOPs: 45.63 | 7: iteration 5050/ 41007 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.76 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.515203E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.463 | TFLOPs: 46.08 | 7: iteration 5060/ 41007 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.77 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.519526E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.366 | TFLOPs: 45.79 | 7: iteration 5070/ 41007 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.76 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.540195E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.555 | TFLOPs: 46.09 | 7: iteration 5080/ 41007 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.77 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.562885E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.697 | TFLOPs: 45.42 | 7: iteration 5090/ 41007 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.77 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.541540E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.926 | TFLOPs: 45.46 | 7: iteration 5100/ 41007 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.78 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.569698E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.564 | TFLOPs: 44.86 | 7: iteration 5110/ 41007 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.77 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.549097E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.430 | TFLOPs: 45.52 | 7: iteration 5120/ 41007 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.78 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.558473E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.003 | TFLOPs: 45.19 | 7: iteration 5130/ 41007 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.76 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.601462E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.549 | TFLOPs: 46.50 | 7: iteration 5140/ 41007 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.77 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.560415E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.437 | TFLOPs: 45.94 | 7: iteration 5150/ 41007 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.76 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.565779E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.875 | TFLOPs: 46.27 | 7: iteration 5160/ 41007 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.78 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.562781E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.269 | TFLOPs: 44.82 | 7: iteration 5170/ 41007 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.76 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.543376E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.555 | TFLOPs: 46.37 | 7: iteration 5180/ 41007 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.78 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.547382E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.065 | TFLOPs: 45.34 | 7: iteration 5190/ 41007 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.79 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.526935E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.958 | TFLOPs: 44.50 | 7: iteration 5200/ 41007 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.76 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.536629E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.923 | TFLOPs: 46.28 | 7: iteration 5210/ 41007 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.76 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.516806E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.521 | TFLOPs: 46.22 | 7: iteration 5220/ 41007 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.77 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.527095E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.686 | TFLOPs: 45.56 | 7: iteration 5230/ 41007 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.76 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.566794E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.262 | TFLOPs: 46.19 | 7: iteration 5240/ 41007 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.78 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.520239E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.905 | TFLOPs: 45.32 | 7: iteration 5250/ 41007 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.76 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.544320E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.046 | TFLOPs: 46.02 | 7: iteration 5260/ 41007 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.76 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.558720E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.997 | TFLOPs: 46.01 | 7: iteration 5270/ 41007 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.77 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.499352E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.249 | TFLOPs: 45.77 | 7: iteration 5280/ 41007 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.77 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.551007E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.828 | TFLOPs: 45.44 | 7: iteration 5290/ 41007 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.77 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.515808E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.863 | TFLOPs: 45.86 | 7: iteration 5300/ 41007 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.77 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 2.519901E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.890 | TFLOPs: 45.73 | 7: iteration 5310/ 41007 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.78 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 2.557054E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.943 | TFLOPs: 45.18 | 7: iteration 5320/ 41007 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.76 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 2.528749E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.810 | TFLOPs: 46.26 | 7: iteration 5330/ 41007 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.76 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 2.535609E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.189 | TFLOPs: 46.32 | 7: iteration 5340/ 41007 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.78 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.556218E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.522 | TFLOPs: 45.26 | 7: iteration 5350/ 41007 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.77 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.507187E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.415 | TFLOPs: 45.93 | 7: iteration 5360/ 41007 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.77 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.559381E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.273 | TFLOPs: 45.78 | 7: iteration 5370/ 41007 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.77 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.544907E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.989 | TFLOPs: 45.88 | 7: iteration 5380/ 41007 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.77 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 2.503442E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.444 | TFLOPs: 45.80 | 7: iteration 5390/ 41007 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.77 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 2.540373E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.391 | TFLOPs: 45.38 | 7: iteration 5400/ 41007 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.78 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 2.502253E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.634 | TFLOPs: 45.14 | 7: iteration 5410/ 41007 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.76 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.536197E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.432 | TFLOPs: 46.07 | 7: iteration 5420/ 41007 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.76 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.522473E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.807 | TFLOPs: 45.99 | 7: iteration 5430/ 41007 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.77 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.545631E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.764 | TFLOPs: 45.85 | 7: iteration 5440/ 41007 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.78 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.528958E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.606 | TFLOPs: 45.00 | 7: iteration 5450/ 41007 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.77 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.533434E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.973 | TFLOPs: 45.60 | 7: iteration 5460/ 41007 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.77 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.552152E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.040 | TFLOPs: 45.47 | 7: iteration 5470/ 41007 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.76 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.530454E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.770 | TFLOPs: 45.98 | 7: iteration 5480/ 41007 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.76 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.527352E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.147 | TFLOPs: 46.17 | 7: iteration 5490/ 41007 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.75 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 2.500147E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.426 | TFLOPs: 46.62 | 7: iteration 5500/ 41007 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.76 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 2.557884E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.746 | TFLOPs: 46.12 | 7: iteration 5510/ 41007 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.76 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 2.524504E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.804 | TFLOPs: 46.13 | 7: iteration 5520/ 41007 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.77 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 2.565935E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.112 | TFLOPs: 45.76 | 7: iteration 5530/ 41007 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.80 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 2.540645E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.456 | TFLOPs: 44.02 | 7: iteration 5540/ 41007 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.77 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 2.574064E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.030 | TFLOPs: 45.74 | 7: iteration 5550/ 41007 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.78 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 2.537977E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.009 | TFLOPs: 45.19 | 7: iteration 5560/ 41007 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.78 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.528040E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.786 | TFLOPs: 44.89 | 7: iteration 5570/ 41007 | consumed samples: 1425920 | consumed tokens: 2920284160 | elapsed time per iteration (s): 0.75 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.551907E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.568 | TFLOPs: 46.64 | 7: iteration 5580/ 41007 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.76 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.514406E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.610 | TFLOPs: 46.51 | 7: iteration 5590/ 41007 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.79 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.523323E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.137 | TFLOPs: 44.66 | 7: iteration 5600/ 41007 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.80 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.508477E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.618 | TFLOPs: 43.76 | 7: iteration 5610/ 41007 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.77 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.561523E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.029 | TFLOPs: 45.61 | 7: iteration 5620/ 41007 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.76 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.509930E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.124 | TFLOPs: 46.44 | 7: iteration 5630/ 41007 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.76 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.558851E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.839 | TFLOPs: 45.99 | 7: iteration 5640/ 41007 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.76 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 2.479776E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.289 | TFLOPs: 46.05 | 7: iteration 5650/ 41007 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.77 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 2.529476E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.710 | TFLOPs: 45.70 | 7: iteration 5660/ 41007 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.76 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 2.513372E+00 | grad norm: 0.208 | num zeros: 0.0 | number of 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size: 256 | lm loss: 2.498533E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.265 | TFLOPs: 46.19 | 7: iteration 5730/ 41007 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.76 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 2.544372E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.722 | TFLOPs: 45.98 | 7: iteration 5740/ 41007 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.77 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 2.515109E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.857 | TFLOPs: 45.72 | 7: iteration 5750/ 41007 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.76 | 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.955 | TFLOPs: 45.18 | 7: iteration 5930/ 41007 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 0.77 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.505526E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.364 | TFLOPs: 45.93 | 7: iteration 5940/ 41007 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.77 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.511801E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.489 | TFLOPs: 45.81 | 7: iteration 5950/ 41007 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.77 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.519438E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.132 | TFLOPs: 45.48 | 7: iteration 5960/ 41007 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.78 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.514774E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.255 | TFLOPs: 45.23 | 7: iteration 5970/ 41007 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.78 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.553704E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.345 | TFLOPs: 44.96 | 7: iteration 5980/ 41007 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.77 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.514645E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.512 | TFLOPs: 45.95 | 7: iteration 5990/ 41007 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.78 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.520342E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.960 | TFLOPs: 45.05 | 0: [2022-11-28 14:12:47,056] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00019171039607902068, 0.00019171039607902068, 0.00019171039607902068], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 41007 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.78 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.510274E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.788 | TFLOPs: 45.30 | 0: steps: 6000 loss: 2.5188 iter time (s): 0.767 samples/sec: 333.856 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 2.534287E+00 | lm loss PPL: 1.260744E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_619m22b 0: [2022-11-28 14:12:47,348] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-28 14:12:47,352] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-28 14:12:47,526] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-28 14:12:47,526] 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checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-28 14:12:48,748] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 7: [2022-11-28 14:12:48,748] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-28 14:12:48,748] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-28 14:12:48,748] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-28 14:12:48,756] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-28 14:12:48,756] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 6: [2022-11-28 14:12:48,757] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-28 14:12:48,757] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-28 14:12:48,758] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-28 14:12:48,757] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-28 14:12:48,758] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-28 14:12:48,758] [INFO] [torch_checkpoint_engine.py:27:commit] 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:12:48,872] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-28 14:12:48,872] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-28 14:12:48,872] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:12:48,873] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-28 14:12:48,873] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:12:48,878] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-28 14:12:48,878] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-28 14:12:48,878] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-28 14:12:48,878] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-28 14:12:48,878] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-28 14:12:48,898] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:12:48,898] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:12:48,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:12:48,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-28 14:12:48,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-28 14:12:48,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-28 14:12:48,899] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step6000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-28 14:12:48,899] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-28 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: successfully saved checkpoint at iteration 6000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1598.52 7: iteration 6010/ 41007 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.96 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.532716E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.586 | TFLOPs: 36.48 | 7: iteration 6020/ 41007 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.76 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.500950E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.795 | TFLOPs: 46.40 | 7: iteration 6030/ 41007 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.77 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 2.494519E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.202 | TFLOPs: 45.91 | 7: iteration 6040/ 41007 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.77 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 2.538116E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.791 | TFLOPs: 45.71 | 7: iteration 6050/ 41007 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.76 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 2.485517E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.768 | TFLOPs: 46.40 | 7: iteration 6060/ 41007 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.78 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 2.494831E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.704 | TFLOPs: 45.01 | 7: iteration 6070/ 41007 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.76 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 2.529769E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.850 | TFLOPs: 46.41 | 7: iteration 6080/ 41007 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.76 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 2.521058E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.240 | TFLOPs: 46.19 | 7: iteration 6090/ 41007 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.77 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.498064E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.186 | TFLOPs: 45.90 | 7: iteration 6100/ 41007 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.76 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.521744E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.625 | TFLOPs: 46.10 | 7: iteration 6110/ 41007 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.78 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.490073E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.379 | TFLOPs: 45.24 | 7: iteration 6120/ 41007 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.76 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.471909E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.632 | TFLOPs: 46.10 | 7: iteration 6130/ 41007 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.79 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 2.506264E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.367 | TFLOPs: 44.55 | 7: iteration 6140/ 41007 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.78 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 2.490594E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.355 | TFLOPs: 44.96 | 7: iteration 6150/ 41007 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.77 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 2.495496E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.790 | TFLOPs: 45.71 | 7: iteration 6160/ 41007 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.77 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 2.486891E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.414 | TFLOPs: 45.39 | 7: iteration 6170/ 41007 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.76 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 2.494891E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.176 | TFLOPs: 46.31 | 7: iteration 6180/ 41007 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.77 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 2.483126E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.713 | TFLOPs: 45.56 | 7: iteration 6190/ 41007 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.76 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 2.514802E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.707 | TFLOPs: 45.97 | 7: iteration 6200/ 41007 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.76 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 2.501817E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.624 | TFLOPs: 46.38 | 7: iteration 6210/ 41007 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.78 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 2.535203E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.188 | TFLOPs: 45.35 | 7: iteration 6220/ 41007 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.77 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 2.509364E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.960 | TFLOPs: 45.73 | 7: iteration 6230/ 41007 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.78 | learning rate: 1.910E-04 | global batch 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learning rate: 1.909E-04 | global batch size: 256 | lm loss: 2.521247E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.182 | TFLOPs: 46.18 | 7: iteration 6270/ 41007 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.76 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 2.491660E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.793 | TFLOPs: 46.26 | 7: iteration 6280/ 41007 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.78 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 2.487366E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.294 | TFLOPs: 45.23 | 7: iteration 6290/ 41007 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.78 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 2.481451E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.512 | TFLOPs: 45.26 | 7: iteration 6300/ 41007 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.77 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 2.492883E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.643 | TFLOPs: 45.69 | 7: iteration 6310/ 41007 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.77 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 2.480177E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.057 | TFLOPs: 45.75 | 7: iteration 6320/ 41007 | consumed samples: 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iteration 6350/ 41007 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.76 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 2.497319E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.587 | TFLOPs: 46.10 | 7: iteration 6360/ 41007 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 0.77 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 2.491537E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.692 | TFLOPs: 45.84 | 7: iteration 6370/ 41007 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.76 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 2.511355E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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2.452456E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.569 | TFLOPs: 45.82 | 7: iteration 6470/ 41007 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.76 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 2.469776E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.787 | TFLOPs: 46.12 | 7: iteration 6480/ 41007 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.76 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 2.497763E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.647 | TFLOPs: 46.10 | 7: iteration 6490/ 41007 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.76 | learning rate: 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consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.78 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 2.493951E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.712 | TFLOPs: 45.01 | 7: iteration 6590/ 41007 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.79 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 2.481532E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.904 | TFLOPs: 44.77 | 7: iteration 6600/ 41007 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.76 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 2.482919E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.644 | TFLOPs: 46.24 | 7: iteration 6610/ 41007 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.78 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 2.487421E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.140 | TFLOPs: 45.35 | 7: iteration 6620/ 41007 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.75 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 2.520922E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.472 | TFLOPs: 46.63 | 7: iteration 6630/ 41007 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.77 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 2.680976E+00 | grad norm: 0.808 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.252 | TFLOPs: 45.91 | 7: iteration 6640/ 41007 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.77 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.577934E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.159 | TFLOPs: 45.62 | 7: iteration 6650/ 41007 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.76 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.511408E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.601 | TFLOPs: 46.37 | 7: iteration 6660/ 41007 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.76 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.542023E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.289 | TFLOPs: 46.05 | 7: iteration 6670/ 41007 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.78 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 2.497076E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.897 | TFLOPs: 44.90 | 7: iteration 6680/ 41007 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.77 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 2.510009E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.531 | TFLOPs: 45.68 | 7: iteration 6690/ 41007 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.76 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 2.510263E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.814 | TFLOPs: 46.26 | 7: iteration 6700/ 41007 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.75 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 2.509550E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.552 | TFLOPs: 46.64 | 7: iteration 6710/ 41007 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.76 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 2.517069E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.469 | TFLOPs: 46.22 | 7: iteration 6720/ 41007 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.76 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 2.469477E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.819 | TFLOPs: 46.13 | 7: iteration 6730/ 41007 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 0.77 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.512734E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.073 | TFLOPs: 45.75 | 7: iteration 6740/ 41007 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.78 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.487785E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.645 | TFLOPs: 45.28 | 7: iteration 6750/ 41007 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.76 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.462867E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.864 | TFLOPs: 46.13 | 7: iteration 6760/ 41007 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 0.77 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.482902E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.735 | TFLOPs: 45.70 | 7: iteration 6770/ 41007 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 0.77 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.444686E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.968 | TFLOPs: 45.74 | 7: iteration 6780/ 41007 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 0.77 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.457642E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.456 | TFLOPs: 45.67 | 7: iteration 6790/ 41007 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 0.75 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.478385E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.370 | TFLOPs: 46.75 | 7: iteration 6800/ 41007 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.77 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 2.525882E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.522 | TFLOPs: 45.95 | 7: iteration 6810/ 41007 | consumed samples: 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second: 316.963 | TFLOPs: 43.54 | 7: iteration 6870/ 41007 | consumed samples: 1758720 | consumed tokens: 3601858560 | elapsed time per iteration (s): 0.78 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 2.505078E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.122 | TFLOPs: 45.21 | 7: iteration 6880/ 41007 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 0.79 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 2.491765E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.618 | TFLOPs: 44.45 | 7: iteration 6890/ 41007 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 0.76 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 2.426594E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.317 | TFLOPs: 46.47 | 7: iteration 6900/ 41007 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 0.77 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 2.434169E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.315 | TFLOPs: 45.51 | 7: iteration 6910/ 41007 | consumed samples: 1768960 | consumed tokens: 3622830080 | elapsed time per iteration (s): 0.77 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 2.469595E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.205 | TFLOPs: 45.91 | 7: iteration 6920/ 41007 | consumed samples: 1771520 | consumed tokens: 3628072960 | elapsed time per iteration (s): 0.79 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.464764E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.550 | TFLOPs: 44.58 | 7: iteration 6930/ 41007 | consumed samples: 1774080 | consumed tokens: 3633315840 | elapsed time per iteration (s): 0.77 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.459495E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.219 | TFLOPs: 45.63 | 7: iteration 6940/ 41007 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 0.76 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.479094E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.079 | TFLOPs: 46.03 | 7: iteration 6950/ 41007 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.76 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.454293E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.688 | TFLOPs: 46.38 | 7: iteration 6960/ 41007 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.79 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.496347E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.032 | TFLOPs: 44.65 | 7: iteration 6970/ 41007 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.78 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.456997E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.475 | TFLOPs: 44.98 | 7: iteration 6980/ 41007 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.79 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 2.436967E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.326 | TFLOPs: 44.55 | 7: iteration 6990/ 41007 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.78 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 2.491013E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.144 | TFLOPs: 44.94 | 7: iteration 7000/ 41007 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.76 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.476553E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.314 | TFLOPs: 46.20 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 2.429570E+00 | lm loss PPL: 1.135400E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_619m22b 0: [2022-11-28 14:25:38,678] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-28 14:25:38,683] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-28 14:25:38,856] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/layer_01-model_00-model_states.pt. 0: [2022-11-28 14:25:38,857] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step7000/layer_03-model_00-model_states.pt... 0: [2022-11-28 14:25:38,909] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step7000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-28 14:25:40,254] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1593.03 7: iteration 7010/ 41007 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.96 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.451469E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.725 | TFLOPs: 36.50 | 7: iteration 7020/ 41007 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.77 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.501271E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.728 | TFLOPs: 45.57 | 7: iteration 7030/ 41007 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.78 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 2.442085E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.235 | TFLOPs: 45.22 | 7: iteration 7040/ 41007 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.77 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 2.479956E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.720 | TFLOPs: 45.84 | 7: iteration 7050/ 41007 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.76 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 2.480813E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.600 | TFLOPs: 46.10 | 7: iteration 7060/ 41007 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.78 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.451622E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.688 | TFLOPs: 45.01 | 7: iteration 7070/ 41007 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.78 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.468628E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.894 | TFLOPs: 45.18 | 7: iteration 7080/ 41007 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.78 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.450145E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.658 | TFLOPs: 45.28 | 7: iteration 7090/ 41007 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.78 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.474117E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.079 | TFLOPs: 45.34 | 7: iteration 7100/ 41007 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.77 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.437613E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.477 | TFLOPs: 45.67 | 7: iteration 7110/ 41007 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.76 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.495276E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.635 | TFLOPs: 46.10 | 7: iteration 7120/ 41007 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.79 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 2.456914E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.808 | TFLOPs: 44.62 | 7: iteration 7130/ 41007 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.77 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 2.477081E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.527 | TFLOPs: 45.81 | 7: iteration 7140/ 41007 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.76 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 2.453934E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.166 | TFLOPs: 46.31 | 7: iteration 7150/ 41007 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.75 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 2.462456E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.160 | TFLOPs: 46.72 | 7: iteration 7160/ 41007 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.76 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 2.486361E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.061 | TFLOPs: 46.02 | 7: iteration 7170/ 41007 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.77 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 2.488727E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.209 | TFLOPs: 45.63 | 7: iteration 7180/ 41007 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.76 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 2.468962E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.125 | TFLOPs: 46.03 | 7: iteration 7190/ 41007 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.75 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 2.442212E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.164 | TFLOPs: 46.59 | 7: iteration 7200/ 41007 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.77 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 2.449648E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.415 | TFLOPs: 45.93 | 7: iteration 7210/ 41007 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.77 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.462637E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.271 | TFLOPs: 45.91 | 7: iteration 7220/ 41007 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.75 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.458784E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.122 | TFLOPs: 46.72 | 7: iteration 7230/ 41007 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.76 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.468809E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.395 | TFLOPs: 46.48 | 7: iteration 7240/ 41007 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.77 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 2.478607E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.049 | TFLOPs: 45.75 | 7: iteration 7250/ 41007 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.76 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 2.489742E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.538 | TFLOPs: 46.23 | 7: iteration 7260/ 41007 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.79 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.438103E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.653 | TFLOPs: 44.46 | 7: iteration 7270/ 41007 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.77 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.477801E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.097 | TFLOPs: 45.48 | 7: iteration 7280/ 41007 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.77 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.480778E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.425 | TFLOPs: 45.39 | 7: iteration 7290/ 41007 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.75 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 2.468177E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.379 | TFLOPs: 47.03 | 7: iteration 7300/ 41007 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.77 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 2.475802E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.942 | TFLOPs: 45.87 | 7: iteration 7310/ 41007 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.78 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 2.464484E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.077 | TFLOPs: 44.93 | 7: iteration 7320/ 41007 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.77 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.449689E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.096 | TFLOPs: 45.89 | 7: iteration 7330/ 41007 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.77 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.464797E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.172 | TFLOPs: 45.63 | 7: iteration 7340/ 41007 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.77 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.434692E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.081 | TFLOPs: 45.89 | 7: iteration 7350/ 41007 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.78 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 2.455660E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.243 | TFLOPs: 45.22 | 7: iteration 7360/ 41007 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.76 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 2.471901E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.022 | TFLOPs: 46.29 | 7: iteration 7370/ 41007 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.77 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 2.453284E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.612 | TFLOPs: 45.82 | 7: iteration 7380/ 41007 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.76 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.458170E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.758 | TFLOPs: 45.98 | 7: iteration 7390/ 41007 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.77 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.427044E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.866 | TFLOPs: 45.58 | 7: iteration 7400/ 41007 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 0.77 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.466053E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.732 | TFLOPs: 45.43 | 7: iteration 7410/ 41007 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.77 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.474598E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.221 | TFLOPs: 45.91 | 7: iteration 7420/ 41007 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.76 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.428603E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.279 | TFLOPs: 46.33 | 7: iteration 7430/ 41007 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.77 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 2.456793E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.426 | TFLOPs: 45.66 | 7: iteration 7440/ 41007 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.77 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 2.407382E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.988 | TFLOPs: 45.74 | 7: iteration 7450/ 41007 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.78 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 2.453199E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.974 | TFLOPs: 44.91 | 7: iteration 7460/ 41007 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.78 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.464299E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.471 | TFLOPs: 45.26 | 7: iteration 7470/ 41007 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.75 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.430170E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.658 | TFLOPs: 46.65 | 7: iteration 7480/ 41007 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 0.77 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.429318E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.200 | TFLOPs: 45.91 | 7: iteration 7490/ 41007 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 0.77 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.464338E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.949 | TFLOPs: 45.60 | 7: iteration 7500/ 41007 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 0.76 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.432403E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.445 | TFLOPs: 46.35 | 7: iteration 7510/ 41007 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 0.76 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.531069E+00 | grad norm: 13.821 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.313 | TFLOPs: 46.33 | 7: iteration 7520/ 41007 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 0.76 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.916891E+00 | grad norm: 3.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.754 | TFLOPs: 45.98 | 7: iteration 7530/ 41007 | consumed samples: 1927680 | consumed tokens: 3947888640 | elapsed time per iteration (s): 0.78 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.730832E+00 | grad norm: 0.779 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.198 | TFLOPs: 45.36 | 7: iteration 7540/ 41007 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.78 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 2.634119E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.499 | TFLOPs: 45.12 | 7: iteration 7550/ 41007 | consumed samples: 1932800 | consumed tokens: 3958374400 | elapsed time per iteration (s): 0.79 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 2.530173E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.689 | TFLOPs: 44.60 | 7: iteration 7560/ 41007 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.77 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 2.499354E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.108 | TFLOPs: 45.48 | 7: iteration 7570/ 41007 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.76 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.492961E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.865 | TFLOPs: 46.00 | 7: iteration 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.412 | TFLOPs: 46.90 | 7: iteration 7930/ 41007 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.78 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 2.468881E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.073 | TFLOPs: 45.34 | 7: iteration 7940/ 41007 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.79 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 2.409152E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.980 | TFLOPs: 44.78 | 7: iteration 7950/ 41007 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.76 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 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1.850E-04 | global batch size: 256 | lm loss: 2.438147E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.437 | TFLOPs: 46.76 | 7: iteration 7990/ 41007 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.76 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 2.472340E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.574 | TFLOPs: 46.37 | 0: [2022-11-28 14:40:43,861] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.00018491800485129963, 0.00018491800485129963, 0.00018491800485129963], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 8000/ 41007 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.76 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.436993E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.241 | TFLOPs: 46.46 | 0: steps: 8000 loss: 2.4334 iter time (s): 0.835 samples/sec: 306.687 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 2.417824E+00 | lm loss PPL: 1.122141E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_619m22b 0: [2022-11-28 14:40:44,124] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-28 14:40:44,128] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step8000/layer_01-model_00-model_states.pt... 0: [2022-11-28 14:40:44,296] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step8000/layer_01-model_00-model_states.pt. 0: [2022-11-28 14:40:44,297] 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checkpoints_619m22b/global_step8000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-28 14:40:45,487] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 5: [2022-11-28 14:40:45,488] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step8000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-28 14:40:45,488] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step8000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-28 14:40:45,488] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 3: [2022-11-28 14:40:45,489] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step8000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:40:45,489] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_619m22b/global_step8000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-28 14:40:45,562] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: [2022-11-28 14:40:45,654] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step8000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 14:40:45,654] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: successfully saved checkpoint at iteration 8000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1552.68 7: iteration 8010/ 41007 | consumed samples: 2050560 | consumed tokens: 4199546880 | elapsed time per iteration (s): 0.95 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.464692E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.210 | TFLOPs: 36.98 | 7: iteration 8020/ 41007 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.76 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.433088E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.145 | TFLOPs: 46.31 | 7: iteration 8030/ 41007 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.76 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.423795E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.719 | TFLOPs: 46.25 | 7: iteration 8040/ 41007 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 0.78 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.432823E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.684 | TFLOPs: 45.01 | 7: iteration 8050/ 41007 | consumed samples: 2060800 | consumed tokens: 4220518400 | elapsed time per iteration (s): 0.76 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 2.420514E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.258 | TFLOPs: 46.05 | 7: iteration 8060/ 41007 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 0.77 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 2.465407E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.122 | TFLOPs: 45.76 | 7: iteration 8070/ 41007 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.79 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.422195E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.041 | TFLOPs: 44.51 | 7: iteration 8080/ 41007 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.77 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.421979E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.612 | TFLOPs: 45.69 | 7: iteration 8090/ 41007 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.76 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.415305E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.991 | TFLOPs: 46.01 | 7: iteration 8100/ 41007 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 0.77 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.436603E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.982 | TFLOPs: 45.88 | 7: iteration 8110/ 41007 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 0.78 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.421287E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.987 | TFLOPs: 45.33 | 7: iteration 8120/ 41007 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 0.78 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.427461E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.788 | TFLOPs: 45.16 | 7: iteration 8130/ 41007 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.78 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 2.425398E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.019 | TFLOPs: 45.33 | 7: iteration 8140/ 41007 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.76 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 2.438396E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.151 | TFLOPs: 46.17 | 7: iteration 8150/ 41007 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.77 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.422111E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.415 | TFLOPs: 45.39 | 7: iteration 8160/ 41007 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.76 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.442637E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.854 | TFLOPs: 46.54 | 7: iteration 8170/ 41007 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.76 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.425311E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.819 | TFLOPs: 46.13 | 7: iteration 8180/ 41007 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.77 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 2.418219E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.328 | TFLOPs: 45.65 | 7: iteration 8190/ 41007 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.77 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 2.451585E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.159 | TFLOPs: 45.62 | 7: iteration 8200/ 41007 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.77 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 2.485789E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.688 | TFLOPs: 45.83 | 7: iteration 8210/ 41007 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.77 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 2.442397E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.503 | TFLOPs: 45.95 | 7: iteration 8220/ 41007 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.76 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 2.430387E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.274 | TFLOPs: 46.33 | 7: iteration 8230/ 41007 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.76 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.398901E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.039 | TFLOPs: 46.02 | 7: iteration 8240/ 41007 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.76 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.427457E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.538 | TFLOPs: 46.23 | 7: iteration 8250/ 41007 | consumed samples: 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iteration 8280/ 41007 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.77 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.423628E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.808 | TFLOPs: 45.71 | 7: iteration 8290/ 41007 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.76 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.471958E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.968 | TFLOPs: 46.29 | 7: iteration 8300/ 41007 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.76 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 2.444687E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.775 | TFLOPs: 46.53 | 7: iteration 8310/ 41007 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.77 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 2.421864E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.575 | TFLOPs: 45.54 | 7: iteration 8320/ 41007 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.77 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 2.463250E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.516 | TFLOPs: 45.81 | 7: iteration 8330/ 41007 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 0.75 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.457335E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.929 | TFLOPs: 46.69 | 7: iteration 8340/ 41007 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 0.76 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.456791E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.795 | TFLOPs: 46.12 | 7: iteration 8350/ 41007 | consumed samples: 2137600 | consumed tokens: 4377804800 | elapsed time per iteration (s): 0.76 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.435133E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.202 | TFLOPs: 46.18 | 7: iteration 8360/ 41007 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 0.77 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.440660E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.844 | TFLOPs: 45.72 | 7: iteration 8370/ 41007 | consumed samples: 2142720 | consumed tokens: 4388290560 | elapsed time per iteration (s): 0.77 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.398955E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.813 | TFLOPs: 45.85 | 7: iteration 8380/ 41007 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 0.77 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 2.427218E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.434 | TFLOPs: 45.80 | 7: iteration 8390/ 41007 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.77 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 2.425285E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.222 | TFLOPs: 45.77 | 7: iteration 8400/ 41007 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 0.76 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.406754E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.663 | TFLOPs: 46.38 | 7: iteration 8410/ 41007 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.77 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.389281E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.574 | TFLOPs: 45.54 | 7: iteration 8420/ 41007 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.77 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.411257E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.056 | TFLOPs: 45.61 | 7: iteration 8430/ 41007 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.79 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 2.441337E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.036 | TFLOPs: 44.65 | 7: iteration 8440/ 41007 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.77 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 2.419449E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.309 | TFLOPs: 45.78 | 7: iteration 8450/ 41007 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.76 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.429736E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.921 | TFLOPs: 46.28 | 7: iteration 8460/ 41007 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.77 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.451999E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.553 | TFLOPs: 45.82 | 7: iteration 8470/ 41007 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.76 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.415055E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.686 | TFLOPs: 46.25 | 7: iteration 8480/ 41007 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.77 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 2.411516E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.548 | TFLOPs: 45.82 | 7: iteration 8490/ 41007 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.76 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 2.439327E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.308 | TFLOPs: 46.06 | 7: iteration 8500/ 41007 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.78 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.440802E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.410 | TFLOPs: 44.97 | 7: iteration 8510/ 41007 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.76 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.378858E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.795 | TFLOPs: 46.26 | 7: iteration 8520/ 41007 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.76 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.404128E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.601 | TFLOPs: 46.10 | 7: iteration 8530/ 41007 | consumed samples: 2183680 | consumed tokens: 4472176640 | elapsed time per iteration (s): 0.76 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 2.410311E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.088 | TFLOPs: 46.30 | 7: iteration 8540/ 41007 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 0.78 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 2.420533E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.437 | TFLOPs: 44.98 | 7: iteration 8550/ 41007 | consumed samples: 2188800 | consumed tokens: 4482662400 | elapsed time per iteration (s): 0.77 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 2.416303E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.588 | TFLOPs: 45.96 | 7: iteration 8560/ 41007 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 0.77 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 2.425511E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.658 | TFLOPs: 45.42 | 7: iteration 8570/ 41007 | consumed samples: 2193920 | consumed tokens: 4493148160 | elapsed time per iteration (s): 0.76 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.419626E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.879 | TFLOPs: 46.41 | 7: iteration 8580/ 41007 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 0.78 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.422518E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.998 | TFLOPs: 45.33 | 7: iteration 8590/ 41007 | consumed samples: 2199040 | consumed tokens: 4503633920 | elapsed time per iteration (s): 0.78 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.449577E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.645 | TFLOPs: 45.14 | 7: iteration 8600/ 41007 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 0.76 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 2.436535E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.841 | TFLOPs: 46.41 | 7: iteration 8610/ 41007 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 0.75 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 2.411914E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.286 | TFLOPs: 46.60 | 7: iteration 8620/ 41007 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 0.76 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.448334E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.910 | TFLOPs: 46.41 | 7: iteration 8630/ 41007 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 0.76 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.403583E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.221 | TFLOPs: 46.46 | 7: iteration 8640/ 41007 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 0.76 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.396833E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.973 | TFLOPs: 46.29 | 7: iteration 8650/ 41007 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 0.76 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 2.388948E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.879 | TFLOPs: 46.14 | 7: iteration 8660/ 41007 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 0.76 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 2.423149E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.594 | TFLOPs: 46.10 | 7: iteration 8670/ 41007 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 0.80 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 2.413224E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.727 | TFLOPs: 44.19 | 7: iteration 8680/ 41007 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 0.76 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 2.412496E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.147 | TFLOPs: 46.17 | 7: iteration 8690/ 41007 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 0.76 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 2.400952E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.821 | TFLOPs: 46.13 | 7: iteration 8700/ 41007 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 0.78 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 2.409706E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.742 | TFLOPs: 44.88 | 7: iteration 8710/ 41007 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 0.76 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 2.395854E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.629 | TFLOPs: 46.51 | 7: iteration 8720/ 41007 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 0.75 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.396071E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.550 | TFLOPs: 46.64 | 7: iteration 8730/ 41007 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 0.76 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.439468E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.284 | TFLOPs: 46.19 | 7: iteration 8740/ 41007 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 0.76 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 2.384552E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.745 | TFLOPs: 45.98 | 7: iteration 8750/ 41007 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 0.77 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 2.427517E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.214 | TFLOPs: 45.63 | 7: iteration 8760/ 41007 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 0.81 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 2.415786E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.524 | TFLOPs: 43.34 | 7: iteration 8770/ 41007 | consumed samples: 2245120 | consumed tokens: 4598005760 | elapsed time per iteration (s): 0.76 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 2.387188E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.908 | TFLOPs: 46.28 | 7: iteration 8780/ 41007 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 0.75 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 2.404585E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.415 | TFLOPs: 46.62 | 7: iteration 8790/ 41007 | consumed samples: 2250240 | consumed tokens: 4608491520 | elapsed time per iteration (s): 0.76 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.394673E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.119 | TFLOPs: 46.31 | 7: iteration 8800/ 41007 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 0.77 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.418039E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.772 | TFLOPs: 45.57 | 7: iteration 8810/ 41007 | consumed samples: 2255360 | consumed tokens: 4618977280 | elapsed time per iteration (s): 0.76 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 2.397800E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.485 | TFLOPs: 46.22 | 7: iteration 8820/ 41007 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 0.75 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 2.416921E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.600 | TFLOPs: 46.65 | 7: iteration 8830/ 41007 | consumed samples: 2260480 | consumed tokens: 4629463040 | elapsed time per iteration (s): 0.75 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 2.417064E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.155 | TFLOPs: 46.72 | 7: iteration 8840/ 41007 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 0.78 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 2.423373E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.826 | TFLOPs: 44.89 | 7: iteration 8850/ 41007 | consumed samples: 2265600 | consumed tokens: 4639948800 | elapsed time per iteration (s): 0.78 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 2.404558E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.752 | TFLOPs: 45.02 | 7: iteration 8860/ 41007 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 0.76 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.415377E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.072 | TFLOPs: 46.16 | 7: iteration 8870/ 41007 | consumed samples: 2270720 | consumed tokens: 4650434560 | elapsed time per iteration (s): 0.76 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.392643E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.222 | TFLOPs: 46.46 | 7: iteration 8880/ 41007 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 0.79 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.407867E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.975 | TFLOPs: 44.78 | 7: iteration 8890/ 41007 | consumed samples: 2275840 | consumed tokens: 4660920320 | elapsed time per iteration (s): 0.75 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 2.384793E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.143 | TFLOPs: 46.58 | 7: iteration 8900/ 41007 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 0.76 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 2.416218E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.746 | TFLOPs: 46.53 | 7: iteration 8910/ 41007 | consumed samples: 2280960 | consumed tokens: 4671406080 | elapsed time per iteration (s): 0.75 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 2.408513E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.262 | TFLOPs: 46.60 | 7: iteration 8920/ 41007 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 0.76 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 2.388017E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.377 | TFLOPs: 46.48 | 7: iteration 8930/ 41007 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 0.76 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 2.397032E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.790 | TFLOPs: 46.40 | 7: iteration 8940/ 41007 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.75 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 2.396453E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.732 | TFLOPs: 46.80 | 7: iteration 8950/ 41007 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.76 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 2.406257E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.752 | TFLOPs: 46.39 | 7: iteration 8960/ 41007 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.77 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 2.397611E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.577 | TFLOPs: 45.41 | 7: iteration 8970/ 41007 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.75 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 2.404688E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.758 | TFLOPs: 46.81 | 7: iteration 8980/ 41007 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.76 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 2.385987E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.851 | TFLOPs: 46.41 | 7: iteration 8990/ 41007 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.76 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 2.390994E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.675 | TFLOPs: 46.25 | 7: iteration 9000/ 41007 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.76 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.397856E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.187 | TFLOPs: 46.32 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.288741E+00 | lm loss PPL: 9.862514E+00 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_619m22b 0: [2022-11-28 14:53:31,790] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-28 14:53:31,794] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step9000/layer_01-model_00-model_states.pt... 0: [2022-11-28 14:53:32,038] [INFO] 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Checkpoint global_step9000 is ready now! 0: [2022-11-28 14:53:33,277] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-28 14:53:33,277] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-28 14:53:33,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:53:33,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-28 14:53:33,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-28 14:53:33,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-28 14:53:33,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-28 14:53:33,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-28 14:53:33,278] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:53:33,278] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-28 14:53:33,278] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-28 14:53:33,278] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:53:33,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-28 14:53:33,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-28 14:53:33,282] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 14:53:33,283] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-28 14:53:33,283] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-28 14:53:33,283] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 7: [2022-11-28 14:53:33,270] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 4: [2022-11-28 14:53:33,283] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 7: [2022-11-28 14:53:33,270] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-28 14:53:33,283] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-28 14:53:33,271] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-28 14:53:33,271] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-28 14:53:33,271] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: [2022-11-28 14:53:33,368] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step9000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 14:53:33,368] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1616.68 7: iteration 9010/ 41007 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.97 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.416495E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.885 | TFLOPs: 36.38 | 7: iteration 9020/ 41007 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.77 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.390719E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.527 | TFLOPs: 45.81 | 7: iteration 9030/ 41007 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.81 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 2.422273E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.306 | TFLOPs: 43.45 | 7: iteration 9040/ 41007 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.77 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 2.412090E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.439 | TFLOPs: 45.66 | 7: iteration 9050/ 41007 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.77 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 2.428231E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.290 | TFLOPs: 45.78 | 7: iteration 9060/ 41007 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.76 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 2.422372E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.274 | TFLOPs: 46.19 | 7: iteration 9070/ 41007 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.77 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 2.406613E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.622 | TFLOPs: 45.83 | 7: iteration 9080/ 41007 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.76 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 2.433713E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.670 | TFLOPs: 46.52 | 7: iteration 9090/ 41007 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.76 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 2.391137E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.998 | TFLOPs: 46.43 | 7: iteration 9100/ 41007 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.77 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 2.419918E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.385 | TFLOPs: 45.52 | 7: iteration 9110/ 41007 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.78 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 2.385553E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.805 | TFLOPs: 45.16 | 7: iteration 9120/ 41007 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.77 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 2.411722E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.744 | TFLOPs: 45.71 | 7: iteration 9130/ 41007 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.77 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 2.406194E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.047 | TFLOPs: 45.75 | 7: iteration 9140/ 41007 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.77 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 2.395091E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.217 | TFLOPs: 45.63 | 7: iteration 9150/ 41007 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.77 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 2.410264E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.462 | TFLOPs: 45.94 | 7: iteration 9160/ 41007 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.76 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 2.417509E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.006 | TFLOPs: 46.15 | 7: iteration 9170/ 41007 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.77 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 2.455890E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.831 | TFLOPs: 45.44 | 7: iteration 9180/ 41007 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.77 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 2.413518E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.599 | TFLOPs: 45.82 | 7: iteration 9190/ 41007 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.77 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 2.416414E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.674 | TFLOPs: 45.56 | 7: iteration 9200/ 41007 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.75 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 2.403100E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.735 | TFLOPs: 46.67 | 7: iteration 9210/ 41007 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.76 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 2.421572E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.641 | TFLOPs: 46.52 | 7: iteration 9220/ 41007 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.77 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 2.380301E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.577 | TFLOPs: 45.96 | 7: iteration 9230/ 41007 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.78 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 2.432824E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.669 | TFLOPs: 45.28 | 7: iteration 9240/ 41007 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.78 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 2.410925E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.508 | TFLOPs: 44.99 | 7: iteration 9250/ 41007 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.77 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 2.404059E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.615 | TFLOPs: 45.41 | 7: iteration 9260/ 41007 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.78 | learning rate: 1.797E-04 | global batch size: 256 | lm loss: 2.432957E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.648 | TFLOPs: 45.14 | 7: iteration 9270/ 41007 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.75 | learning rate: 1.797E-04 | global batch size: 256 | lm loss: 2.419314E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.289 | TFLOPs: 46.74 | 7: iteration 9280/ 41007 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.76 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 2.419280E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.972 | TFLOPs: 46.15 | 7: iteration 9290/ 41007 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.77 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 2.403368E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.748 | TFLOPs: 45.71 | 7: iteration 9300/ 41007 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.76 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 2.387203E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.966 | TFLOPs: 46.15 | 7: iteration 9310/ 41007 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.77 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 2.405112E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.290 | TFLOPs: 45.64 | 7: iteration 9320/ 41007 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.77 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 2.401746E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.327 | TFLOPs: 45.79 | 7: iteration 9330/ 41007 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.76 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 2.429507E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.604 | TFLOPs: 46.51 | 7: iteration 9340/ 41007 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.78 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 2.412289E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.088 | TFLOPs: 45.20 | 7: iteration 9350/ 41007 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.77 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 2.414483E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.240 | TFLOPs: 45.50 | 7: iteration 9360/ 41007 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.78 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 2.370572E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.173 | TFLOPs: 44.94 | 7: iteration 9370/ 41007 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 0.75 | learning rate: 1.792E-04 | global batch size: 256 | lm loss: 2.394102E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.225 | TFLOPs: 46.73 | 7: iteration 9380/ 41007 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.77 | learning rate: 1.792E-04 | global batch size: 256 | lm loss: 2.411177E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.728 | TFLOPs: 45.70 | 7: iteration 9390/ 41007 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.75 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 2.379831E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.413 | TFLOPs: 46.62 | 7: iteration 9400/ 41007 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.75 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 2.407142E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.464 | TFLOPs: 46.63 | 7: iteration 9410/ 41007 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.77 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 2.360760E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.656 | TFLOPs: 45.42 | 7: iteration 9420/ 41007 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.76 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 2.418609E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.091 | TFLOPs: 46.30 | 7: iteration 9430/ 41007 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.76 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 2.385964E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.866 | TFLOPs: 46.41 | 7: iteration 9440/ 41007 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.76 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 2.410723E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.597 | TFLOPs: 46.37 | 7: iteration 9450/ 41007 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.76 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 2.443100E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.494 | TFLOPs: 46.36 | 7: iteration 9460/ 41007 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 0.76 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 2.415406E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.684 | TFLOPs: 46.11 | 7: iteration 9470/ 41007 | consumed samples: 2424320 | consumed tokens: 4965007360 | elapsed time per iteration (s): 0.77 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 2.419498E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.002 | TFLOPs: 45.88 | 7: iteration 9480/ 41007 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 0.78 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 2.370543E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.479 | TFLOPs: 45.12 | 7: iteration 9490/ 41007 | consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 0.78 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 2.373743E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.270 | TFLOPs: 45.23 | 7: iteration 9500/ 41007 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.78 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 2.404619E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.509 | TFLOPs: 45.12 | 7: iteration 9510/ 41007 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.76 | learning rate: 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size: 256 | lm loss: 2.405085E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.235 | TFLOPs: 46.46 | 7: iteration 9750/ 41007 | consumed samples: 2496000 | consumed tokens: 5111808000 | elapsed time per iteration (s): 0.77 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 2.381285E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.244 | TFLOPs: 45.77 | 7: iteration 9760/ 41007 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 0.77 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 2.376907E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.836 | TFLOPs: 45.86 | 7: iteration 9770/ 41007 | consumed samples: 2501120 | consumed tokens: 5122293760 | elapsed time per iteration (s): 0.77 | 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.583 | TFLOPs: 45.68 | 7: iteration 9950/ 41007 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.78 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 2.393048E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.146 | TFLOPs: 45.35 | 7: iteration 9960/ 41007 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.77 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 2.419042E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.248 | TFLOPs: 45.50 | 7: iteration 9970/ 41007 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.77 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 2.376292E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.447 | TFLOPs: 45.66 | 7: iteration 9980/ 41007 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.77 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 2.423159E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.609 | TFLOPs: 45.96 | 7: iteration 9990/ 41007 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.78 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 2.420422E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.791 | TFLOPs: 45.02 | 0: [2022-11-28 15:06:25,097] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.00017633471348231028, 0.00017633471348231028, 0.00017633471348231028], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 41007 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.78 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 2.424923E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.954 | TFLOPs: 44.91 | 0: steps: 10000 loss: 2.3939 iter time (s): 0.767 samples/sec: 333.979 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.326669E+00 | lm loss PPL: 1.024376E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_619m22b 0: [2022-11-28 15:06:25,457] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-28 15:06:25,501] [INFO] 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global_step10000 is ready now! 2: [2022-11-28 15:06:27,333] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-28 15:06:27,333] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-28 15:06:27,333] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-28 15:06:27,333] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-28 15:06:27,333] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1976.59 7: iteration 10010/ 41007 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 0.99 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 2.393666E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.580 | TFLOPs: 35.52 | 7: iteration 10020/ 41007 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.76 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 2.418146E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.195 | TFLOPs: 46.04 | 7: iteration 10030/ 41007 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.77 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 2.419185E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.998 | TFLOPs: 45.74 | 7: iteration 10040/ 41007 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.78 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 2.418192E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.023 | TFLOPs: 45.19 | 7: iteration 10050/ 41007 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.77 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 2.394987E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.846 | TFLOPs: 45.86 | 7: iteration 10060/ 41007 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.76 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 2.399395E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.722 | TFLOPs: 46.11 | 7: iteration 10070/ 41007 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.76 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.398402E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.471 | TFLOPs: 46.08 | 7: iteration 10080/ 41007 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.76 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.362350E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.890 | TFLOPs: 46.27 | 7: iteration 10090/ 41007 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.78 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 2.374292E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.054 | TFLOPs: 45.34 | 7: iteration 10100/ 41007 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.78 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 2.403932E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.002 | TFLOPs: 45.33 | 7: iteration 10110/ 41007 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.77 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 2.377519E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.717 | TFLOPs: 45.84 | 7: iteration 10120/ 41007 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.77 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 2.364247E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.643 | TFLOPs: 45.83 | 7: iteration 10130/ 41007 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.75 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 2.388385E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.261 | TFLOPs: 46.87 | 7: iteration 10140/ 41007 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.77 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 2.400545E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.260 | TFLOPs: 45.91 | 7: iteration 10150/ 41007 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.76 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 2.368068E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.583 | TFLOPs: 46.37 | 7: iteration 10160/ 41007 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.77 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 2.390433E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.797 | TFLOPs: 45.44 | 7: iteration 10170/ 41007 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.76 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 2.411911E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.161 | TFLOPs: 46.17 | 7: iteration 10180/ 41007 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 0.77 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 2.383862E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.748 | TFLOPs: 45.84 | 7: iteration 10190/ 41007 | consumed samples: 2608640 | consumed tokens: 5342494720 | elapsed time per iteration (s): 0.77 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 2.397377E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.999 | TFLOPs: 45.74 | 7: iteration 10200/ 41007 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 0.77 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 2.382010E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.011 | TFLOPs: 45.47 | 7: iteration 10210/ 41007 | consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 0.76 | learning rate: 1.753E-04 | global batch size: 256 | lm loss: 2.384959E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | 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number of nan iterations: 0 | samples per second: 336.642 | TFLOPs: 46.24 | 7: iteration 10450/ 41007 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.77 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 2.366432E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.878 | TFLOPs: 45.72 | 7: iteration 10460/ 41007 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.76 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 2.374101E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.890 | TFLOPs: 46.27 | 7: iteration 10470/ 41007 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.77 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 2.378112E+00 | grad norm: 0.171 | num zeros: 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per iteration (s): 0.78 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 2.365780E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.291 | TFLOPs: 45.37 | 7: iteration 10570/ 41007 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 0.78 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 2.363364E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.418 | TFLOPs: 45.25 | 7: iteration 10580/ 41007 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 0.76 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 2.368937E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.471 | TFLOPs: 46.22 | 7: iteration 10590/ 41007 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 0.76 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 2.401772E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.279 | TFLOPs: 46.47 | 7: iteration 10600/ 41007 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 0.76 | learning rate: 1.734E-04 | global batch size: 256 | lm loss: 2.365754E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.175 | TFLOPs: 46.04 | 7: iteration 10610/ 41007 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.77 | learning rate: 1.734E-04 | global batch size: 256 | lm loss: 2.346477E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.958 | TFLOPs: 45.60 | 7: iteration 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number of nan iterations: 0 | samples per second: 328.608 | TFLOPs: 45.14 | 7: iteration 10680/ 41007 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 0.78 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 2.368739E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.577 | TFLOPs: 45.27 | 7: iteration 10690/ 41007 | consumed samples: 2736640 | consumed tokens: 5604638720 | elapsed time per iteration (s): 0.76 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 2.385443E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.175 | TFLOPs: 46.31 | 7: iteration 10700/ 41007 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 0.78 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 2.370040E+00 | grad norm: 0.183 | num zeros: 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2.366969E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.557 | TFLOPs: 44.44 | 7: iteration 10740/ 41007 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 0.78 | learning rate: 1.727E-04 | global batch size: 256 | lm loss: 2.349240E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.154 | TFLOPs: 45.21 | 7: iteration 10750/ 41007 | consumed samples: 2752000 | consumed tokens: 5636096000 | elapsed time per iteration (s): 0.78 | learning rate: 1.727E-04 | global batch size: 256 | lm loss: 2.373618E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.364 | TFLOPs: 45.10 | 7: iteration 10760/ 41007 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 0.77 | learning rate: 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per iteration (s): 0.77 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 2.382483E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.624 | TFLOPs: 45.83 | 7: iteration 10800/ 41007 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 0.78 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 2.345370E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.084 | TFLOPs: 45.07 | 7: iteration 10810/ 41007 | consumed samples: 2767360 | consumed tokens: 5667553280 | elapsed time per iteration (s): 0.77 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 2.355343E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.349 | TFLOPs: 45.38 | 7: iteration 10820/ 41007 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 0.79 | learning rate: 1.723E-04 | global batch size: 256 | lm loss: 2.362190E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.116 | TFLOPs: 44.52 | 7: iteration 10830/ 41007 | consumed samples: 2772480 | consumed tokens: 5678039040 | elapsed time per iteration (s): 0.76 | learning rate: 1.723E-04 | global batch size: 256 | lm loss: 2.368661E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.302 | TFLOPs: 46.19 | 7: iteration 10840/ 41007 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 0.75 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 2.362802E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.774 | TFLOPs: 46.67 | 7: iteration 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.862 | TFLOPs: 45.17 | 7: iteration 10940/ 41007 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.77 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 2.326011E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.822 | TFLOPs: 45.58 | 7: iteration 10950/ 41007 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.80 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 2.388135E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.125 | TFLOPs: 44.11 | 7: iteration 10960/ 41007 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.76 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 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1.715E-04 | global batch size: 256 | lm loss: 2.371966E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.838 | TFLOPs: 45.99 | 7: iteration 11000/ 41007 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.76 | learning rate: 1.714E-04 | global batch size: 256 | lm loss: 2.370401E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.978 | TFLOPs: 46.29 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 11000 | lm loss value: 2.294690E+00 | lm loss PPL: 9.921364E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 11000 to checkpoints_619m22b 0: [2022-11-28 15:19:15,442] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,151] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-28 15:19:17,152] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:19:17,152] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-28 15:19:17,152] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:19:17,152] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-28 15:19:17,152] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:19:17,152] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,152] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-28 15:19:17,157] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:19:17,157] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:19:17,157] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:19:17,157] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,157] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,157] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-28 15:19:17,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-28 15:19:17,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-28 15:19:17,158] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:19:17,158] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step11000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-28 15:19:17,158] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: successfully saved checkpoint at iteration 11000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1729.11 7: iteration 11010/ 41007 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.97 | learning rate: 1.714E-04 | global batch size: 256 | lm loss: 2.347238E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.775 | TFLOPs: 36.09 | 7: iteration 11020/ 41007 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.77 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 2.396292E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.520 | TFLOPs: 45.95 | 7: iteration 11030/ 41007 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.77 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 2.336612E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.465 | TFLOPs: 45.94 | 7: iteration 11040/ 41007 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.76 | learning rate: 1.712E-04 | global batch size: 256 | lm loss: 2.363026E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.866 | TFLOPs: 46.41 | 7: iteration 11050/ 41007 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.76 | learning rate: 1.712E-04 | global batch size: 256 | lm loss: 2.380241E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.147 | TFLOPs: 46.45 | 7: iteration 11060/ 41007 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.77 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.342787E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.864 | TFLOPs: 45.86 | 7: iteration 11070/ 41007 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.78 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.352321E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.796 | TFLOPs: 44.89 | 7: iteration 11080/ 41007 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.76 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 2.372964E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.462 | TFLOPs: 46.08 | 7: iteration 11090/ 41007 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.77 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 2.355193E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.159 | TFLOPs: 45.76 | 7: iteration 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second: 331.411 | TFLOPs: 45.52 | 7: iteration 11130/ 41007 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.76 | learning rate: 1.708E-04 | global batch size: 256 | lm loss: 2.336820E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.532 | TFLOPs: 46.09 | 7: iteration 11140/ 41007 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.78 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 2.364554E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.669 | TFLOPs: 45.01 | 7: iteration 11150/ 41007 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.77 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 2.351848E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.384 | TFLOPs: 45.66 | 7: iteration 11160/ 41007 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.77 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 2.371182E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.254 | TFLOPs: 45.50 | 7: iteration 11170/ 41007 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 0.79 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 2.359199E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.806 | TFLOPs: 44.61 | 7: iteration 11180/ 41007 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 0.78 | learning rate: 1.705E-04 | global batch size: 256 | lm loss: 2.364687E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.507 | TFLOPs: 44.99 | 7: iteration 11190/ 41007 | consumed samples: 2864640 | consumed tokens: 5866782720 | elapsed time per iteration (s): 0.79 | learning rate: 1.705E-04 | global batch size: 256 | lm loss: 2.313419E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.553 | TFLOPs: 44.58 | 7: iteration 11200/ 41007 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.78 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 2.402686E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.829 | TFLOPs: 45.30 | 7: iteration 11210/ 41007 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.78 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 2.365625E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.923 | TFLOPs: 45.32 | 7: iteration 11220/ 41007 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.77 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 2.389245E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.038 | TFLOPs: 45.75 | 7: iteration 11230/ 41007 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.77 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 2.372823E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.423 | TFLOPs: 45.39 | 7: iteration 11240/ 41007 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.77 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 2.380979E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.171 | TFLOPs: 45.63 | 7: iteration 11250/ 41007 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.79 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 2.372904E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.701 | TFLOPs: 44.74 | 7: iteration 11260/ 41007 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.78 | learning rate: 1.701E-04 | global batch size: 256 | lm loss: 2.358228E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.452 | TFLOPs: 45.12 | 7: iteration 11270/ 41007 | consumed samples: 2885120 | consumed tokens: 5908725760 | elapsed time per iteration (s): 0.77 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 2.361622E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.302 | TFLOPs: 45.92 | 7: iteration 11280/ 41007 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 0.77 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 2.394249E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.092 | TFLOPs: 45.62 | 7: iteration 11290/ 41007 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.78 | learning rate: 1.699E-04 | global batch size: 256 | lm loss: 2.351973E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.824 | TFLOPs: 45.17 | 7: iteration 11300/ 41007 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.78 | learning rate: 1.699E-04 | global batch size: 256 | lm loss: 2.340754E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.954 | TFLOPs: 44.91 | 7: iteration 11310/ 41007 | consumed samples: 2895360 | consumed tokens: 5929697280 | elapsed time per iteration (s): 0.77 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 2.351937E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.383 | TFLOPs: 45.79 | 7: iteration 11320/ 41007 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 0.76 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 2.345341E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.930 | TFLOPs: 46.14 | 7: iteration 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second: 322.980 | TFLOPs: 44.36 | 7: iteration 11360/ 41007 | consumed samples: 2908160 | consumed tokens: 5955911680 | elapsed time per iteration (s): 0.78 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 2.380739E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.067 | TFLOPs: 45.34 | 7: iteration 11370/ 41007 | consumed samples: 2910720 | consumed tokens: 5961154560 | elapsed time per iteration (s): 0.79 | learning rate: 1.695E-04 | global batch size: 256 | lm loss: 2.361093E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.369 | TFLOPs: 44.28 | 7: iteration 11380/ 41007 | consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 0.78 | learning rate: 1.695E-04 | global batch size: 256 | lm loss: 2.356334E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.336 | TFLOPs: 45.10 | 7: iteration 11390/ 41007 | consumed samples: 2915840 | consumed tokens: 5971640320 | elapsed time per iteration (s): 0.76 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 2.349374E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.309 | TFLOPs: 46.33 | 7: iteration 11400/ 41007 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 0.76 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 2.386211E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.320 | TFLOPs: 46.06 | 7: iteration 11410/ 41007 | consumed samples: 2920960 | consumed tokens: 5982126080 | elapsed time per iteration (s): 0.76 | learning rate: 1.693E-04 | global batch size: 256 | lm loss: 2.329266E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.871 | TFLOPs: 46.55 | 7: iteration 11420/ 41007 | consumed samples: 2923520 | consumed tokens: 5987368960 | elapsed time per iteration (s): 0.78 | learning rate: 1.693E-04 | global batch size: 256 | lm loss: 2.327507E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.639 | TFLOPs: 45.28 | 7: iteration 11430/ 41007 | consumed samples: 2926080 | consumed tokens: 5992611840 | elapsed time per iteration (s): 0.75 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 2.347329E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.745 | TFLOPs: 46.94 | 7: iteration 11440/ 41007 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.76 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 2.376119E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.786 | TFLOPs: 45.99 | 7: iteration 11450/ 41007 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.77 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 2.337378E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.448 | TFLOPs: 45.80 | 7: iteration 11460/ 41007 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 0.77 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 2.354034E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.307 | TFLOPs: 45.78 | 7: iteration 11470/ 41007 | consumed samples: 2936320 | consumed tokens: 6013583360 | elapsed time per iteration (s): 0.75 | learning rate: 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2.322347E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.000 | TFLOPs: 44.92 | 7: iteration 11910/ 41007 | consumed samples: 3048960 | consumed tokens: 6244270080 | elapsed time per iteration (s): 0.78 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 2.376629E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.920 | TFLOPs: 45.18 | 7: iteration 11920/ 41007 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 0.76 | learning rate: 1.666E-04 | global batch size: 256 | lm loss: 2.374006E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.701 | TFLOPs: 46.52 | 7: iteration 11930/ 41007 | consumed samples: 3054080 | consumed tokens: 6254755840 | elapsed time per iteration (s): 0.76 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.371465E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.573 | TFLOPs: 46.09 | 7: iteration 11940/ 41007 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 0.77 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.368338E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.322 | TFLOPs: 45.78 | 7: iteration 11950/ 41007 | consumed samples: 3059200 | consumed tokens: 6265241600 | elapsed time per iteration (s): 0.77 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 2.309564E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.986 | TFLOPs: 45.74 | 7: iteration 11960/ 41007 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 0.76 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 2.349166E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.680 | TFLOPs: 46.11 | 7: iteration 11970/ 41007 | consumed samples: 3064320 | consumed tokens: 6275727360 | elapsed time per iteration (s): 0.77 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 2.347062E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.135 | TFLOPs: 45.76 | 7: iteration 11980/ 41007 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 0.78 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 2.377231E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.052 | TFLOPs: 45.20 | 7: iteration 11990/ 41007 | consumed samples: 3069440 | consumed tokens: 6286213120 | elapsed time per iteration (s): 0.79 | learning rate: 1.662E-04 | global batch size: 256 | lm loss: 2.349342E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.039 | TFLOPs: 44.23 | 0: [2022-11-28 15:32:07,468] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[0.00016616570386064906, 0.00016616570386064906, 0.00016616570386064906], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 12000/ 41007 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.78 | learning rate: 1.662E-04 | global batch size: 256 | lm loss: 2.373083E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.125 | TFLOPs: 45.07 | 0: steps: 12000 loss: 2.4270 iter time (s): 0.767 samples/sec: 333.952 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 12000 | lm loss value: 2.325127E+00 | lm loss PPL: 1.022798E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 12000 to checkpoints_619m22b 0: [2022-11-28 15:32:07,754] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step12000 is begin to save! 0: [2022-11-28 15:32:07,759] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step12000/layer_01-model_00-model_states.pt... 0: [2022-11-28 15:32:07,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step12000/layer_01-model_00-model_states.pt. 0: [2022-11-28 15:32:07,942] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step12000/layer_03-model_00-model_states.pt... 0: [2022-11-28 15:32:07,996] [INFO] 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Saved checkpoints_619m22b/global_step12000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 15:32:09,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step12000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-28 15:32:09,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step12000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-28 15:32:09,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 4: [2022-11-28 15:32:09,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 7: [2022-11-28 15:32:09,219] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step12000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 4: [2022-11-28 15:32:09,208] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_619m22b/global_step12000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 7: [2022-11-28 15:32:09,219] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 4: [2022-11-28 15:32:09,209] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step12000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-28 15:32:09,209] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 1: [2022-11-28 15:32:09,197] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step12000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-28 15:32:09,197] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 1: [2022-11-28 15:32:09,197] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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global_step12000 is ready now! 5: [2022-11-28 15:32:09,359] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 5: [2022-11-28 15:32:09,359] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: successfully saved checkpoint at iteration 12000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1612.20 7: iteration 12010/ 41007 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.96 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 2.348785E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.475 | TFLOPs: 36.74 | 7: iteration 12020/ 41007 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.76 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 2.310268E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.354 | TFLOPs: 46.20 | 7: iteration 12030/ 41007 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.76 | learning rate: 1.660E-04 | global batch size: 256 | lm loss: 2.323988E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.927 | TFLOPs: 46.28 | 7: iteration 12040/ 41007 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 0.78 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.341228E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.044 | TFLOPs: 45.06 | 7: iteration 12050/ 41007 | consumed samples: 3084800 | consumed tokens: 6317670400 | elapsed time per iteration (s): 0.76 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.321726E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.146 | TFLOPs: 46.04 | 7: iteration 12060/ 41007 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 0.76 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 2.329923E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.835 | TFLOPs: 45.99 | 7: iteration 12070/ 41007 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.79 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 2.354669E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.046 | TFLOPs: 44.65 | 7: iteration 12080/ 41007 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.78 | learning rate: 1.657E-04 | global batch size: 256 | lm loss: 2.336789E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.201 | TFLOPs: 45.36 | 7: iteration 12090/ 41007 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.77 | learning rate: 1.657E-04 | global batch size: 256 | lm loss: 2.331399E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.354 | TFLOPs: 45.79 | 7: iteration 12100/ 41007 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.76 | learning rate: 1.656E-04 | global batch size: 256 | lm loss: 2.328604E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.400 | TFLOPs: 46.21 | 7: iteration 12110/ 41007 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.76 | learning rate: 1.656E-04 | global batch size: 256 | lm loss: 2.302874E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.777 | TFLOPs: 45.98 | 7: iteration 12120/ 41007 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 0.76 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 2.358004E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.282 | TFLOPs: 46.05 | 7: iteration 12130/ 41007 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.76 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 2.362483E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.715 | TFLOPs: 46.53 | 7: iteration 12140/ 41007 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.76 | learning rate: 1.654E-04 | global batch size: 256 | lm loss: 2.358422E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.710 | TFLOPs: 46.25 | 7: iteration 12150/ 41007 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.76 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 2.368064E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.165 | TFLOPs: 46.04 | 7: iteration 12160/ 41007 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.76 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 2.328258E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.661 | TFLOPs: 46.52 | 7: iteration 12170/ 41007 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.77 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 2.289671E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.278 | TFLOPs: 45.64 | 7: iteration 12180/ 41007 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.77 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 2.330265E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.931 | TFLOPs: 45.87 | 7: iteration 12190/ 41007 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 0.77 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 2.327826E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.856 | TFLOPs: 45.58 | 7: iteration 12200/ 41007 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 0.76 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 2.360160E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.486 | TFLOPs: 46.08 | 7: iteration 12210/ 41007 | consumed samples: 3125760 | consumed tokens: 6401556480 | elapsed time per iteration (s): 0.77 | learning rate: 1.650E-04 | global batch size: 256 | lm loss: 2.357855E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.362 | TFLOPs: 45.93 | 7: iteration 12220/ 41007 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 0.76 | learning rate: 1.650E-04 | global batch size: 256 | lm loss: 2.345658E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.403 | TFLOPs: 46.21 | 7: iteration 12230/ 41007 | consumed samples: 3130880 | consumed tokens: 6412042240 | elapsed time per iteration (s): 0.77 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 2.347587E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.953 | TFLOPs: 45.73 | 7: iteration 12240/ 41007 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 0.77 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 2.314434E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.107 | TFLOPs: 45.89 | 7: iteration 12250/ 41007 | consumed samples: 3136000 | consumed tokens: 6422528000 | elapsed time per iteration (s): 0.78 | learning rate: 1.648E-04 | global batch size: 256 | lm loss: 2.344223E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped 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0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.924 | TFLOPs: 45.73 | 7: iteration 12290/ 41007 | consumed samples: 3146240 | consumed tokens: 6443499520 | elapsed time per iteration (s): 0.77 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 2.353388E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.845 | TFLOPs: 45.44 | 7: iteration 12300/ 41007 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 0.78 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 2.341255E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.725 | TFLOPs: 44.88 | 7: iteration 12310/ 41007 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.76 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 2.362610E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.073 | TFLOPs: 46.03 | 7: iteration 12320/ 41007 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.75 | learning rate: 1.644E-04 | global batch size: 256 | lm loss: 2.327459E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.203 | TFLOPs: 46.59 | 7: iteration 12330/ 41007 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.77 | learning rate: 1.644E-04 | global batch size: 256 | lm loss: 2.366619E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.365 | TFLOPs: 45.52 | 7: iteration 12340/ 41007 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 0.77 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 2.352867E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.603 | TFLOPs: 45.55 | 7: iteration 12350/ 41007 | consumed samples: 3161600 | consumed tokens: 6474956800 | elapsed time per iteration (s): 0.78 | learning rate: 1.642E-04 | global batch size: 256 | lm loss: 2.346679E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.617 | TFLOPs: 45.14 | 7: iteration 12360/ 41007 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 0.75 | learning rate: 1.642E-04 | global batch size: 256 | lm loss: 2.347775E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.820 | TFLOPs: 46.68 | 7: iteration 12370/ 41007 | consumed samples: 3166720 | consumed tokens: 6485442560 | elapsed time per iteration (s): 0.77 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 2.338295E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.105 | TFLOPs: 45.89 | 7: iteration 12380/ 41007 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 0.77 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 2.351950E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.693 | TFLOPs: 45.84 | 7: iteration 12390/ 41007 | consumed samples: 3171840 | consumed tokens: 6495928320 | elapsed time per iteration (s): 0.75 | learning rate: 1.640E-04 | global batch size: 256 | lm loss: 2.319653E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.412 | TFLOPs: 46.76 | 7: iteration 12400/ 41007 | consumed 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44.89 | 7: iteration 12430/ 41007 | consumed samples: 3182080 | consumed tokens: 6516899840 | elapsed time per iteration (s): 0.76 | learning rate: 1.638E-04 | global batch size: 256 | lm loss: 2.385426E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.958 | TFLOPs: 46.15 | 7: iteration 12440/ 41007 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 0.75 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 2.349076E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.621 | TFLOPs: 46.92 | 7: iteration 12450/ 41007 | consumed samples: 3187200 | consumed tokens: 6527385600 | elapsed time per iteration (s): 0.79 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 2.360331E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.720 | TFLOPs: 44.60 | 7: iteration 12460/ 41007 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 0.77 | learning rate: 1.636E-04 | global batch size: 256 | lm loss: 2.382725E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.714 | TFLOPs: 45.70 | 7: iteration 12470/ 41007 | consumed samples: 3192320 | consumed tokens: 6537871360 | elapsed time per iteration (s): 0.76 | learning rate: 1.636E-04 | global batch size: 256 | lm loss: 2.349680E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.732 | TFLOPs: 46.25 | 7: iteration 12480/ 41007 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 0.77 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 2.323549E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.606 | TFLOPs: 45.55 | 7: iteration 12490/ 41007 | consumed samples: 3197440 | consumed tokens: 6548357120 | elapsed time per iteration (s): 0.76 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 2.321354E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.009 | TFLOPs: 46.29 | 7: iteration 12500/ 41007 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 0.77 | learning rate: 1.634E-04 | global batch size: 256 | lm loss: 2.322646E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.700 | TFLOPs: 45.70 | 7: iteration 12510/ 41007 | consumed samples: 3202560 | consumed tokens: 6558842880 | elapsed time per iteration (s): 0.76 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.324801E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.608 | TFLOPs: 46.10 | 7: iteration 12520/ 41007 | consumed samples: 3205120 | consumed tokens: 6564085760 | elapsed time per iteration (s): 0.76 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.351148E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.965 | TFLOPs: 46.15 | 7: iteration 12530/ 41007 | consumed samples: 3207680 | consumed tokens: 6569328640 | elapsed time per iteration (s): 0.78 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.328813E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.803 | TFLOPs: 45.03 | 7: iteration 12540/ 41007 | consumed samples: 3210240 | consumed tokens: 6574571520 | elapsed time per iteration (s): 0.78 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.311248E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.231 | TFLOPs: 45.09 | 7: iteration 12550/ 41007 | consumed samples: 3212800 | consumed tokens: 6579814400 | elapsed time per iteration (s): 0.75 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.342774E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.574 | TFLOPs: 46.64 | 7: iteration 12560/ 41007 | consumed samples: 3215360 | consumed tokens: 6585057280 | elapsed time per iteration (s): 0.78 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.376652E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.072 | TFLOPs: 45.20 | 7: iteration 12570/ 41007 | consumed samples: 3217920 | consumed tokens: 6590300160 | elapsed time per iteration (s): 0.78 | learning rate: 1.630E-04 | global batch size: 256 | lm loss: 2.340151E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.440 | TFLOPs: 44.84 | 7: iteration 12580/ 41007 | consumed samples: 3220480 | consumed tokens: 6595543040 | elapsed time per iteration (s): 0.77 | learning rate: 1.630E-04 | global batch size: 256 | lm loss: 2.342865E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.476 | TFLOPs: 45.67 | 7: iteration 12590/ 41007 | consumed samples: 3223040 | consumed tokens: 6600785920 | elapsed time per iteration (s): 0.76 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.361106E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.939 | TFLOPs: 46.42 | 7: iteration 12600/ 41007 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 0.77 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.335312E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.625 | TFLOPs: 45.69 | 7: iteration 12610/ 41007 | consumed samples: 3228160 | consumed tokens: 6611271680 | elapsed time per iteration (s): 0.78 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.329434E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.319 | TFLOPs: 45.37 | 7: iteration 12620/ 41007 | consumed samples: 3230720 | consumed tokens: 6616514560 | elapsed time per iteration (s): 0.77 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 2.309773E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.585 | TFLOPs: 45.55 | 7: iteration 12630/ 41007 | consumed 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45.32 | 7: iteration 12660/ 41007 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 0.76 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 2.331388E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.644 | TFLOPs: 46.24 | 7: iteration 12670/ 41007 | consumed samples: 3243520 | consumed tokens: 6642728960 | elapsed time per iteration (s): 0.77 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 2.329961E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.953 | TFLOPs: 45.87 | 7: iteration 12680/ 41007 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 0.78 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 2.361896E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.239 | TFLOPs: 44.81 | 7: iteration 12690/ 41007 | consumed samples: 3248640 | consumed tokens: 6653214720 | elapsed time per iteration (s): 0.79 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 2.323715E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.892 | TFLOPs: 44.63 | 7: iteration 12700/ 41007 | consumed samples: 3251200 | consumed tokens: 6658457600 | elapsed time per iteration (s): 0.78 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 2.339034E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.213 | TFLOPs: 44.95 | 7: iteration 12710/ 41007 | consumed samples: 3253760 | consumed tokens: 6663700480 | elapsed time per iteration (s): 0.76 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 2.325138E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.946 | TFLOPs: 46.42 | 7: iteration 12720/ 41007 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 0.76 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 2.320964E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.535 | TFLOPs: 46.09 | 7: iteration 12730/ 41007 | consumed samples: 3258880 | consumed tokens: 6674186240 | elapsed time per iteration (s): 0.76 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.312296E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.049 | TFLOPs: 46.16 | 7: iteration 12740/ 41007 | consumed samples: 3261440 | consumed tokens: 6679429120 | elapsed time per iteration (s): 0.76 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.323963E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.945 | TFLOPs: 46.28 | 7: iteration 12750/ 41007 | consumed samples: 3264000 | consumed tokens: 6684672000 | elapsed time per iteration (s): 0.76 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.360257E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.025 | TFLOPs: 46.43 | 7: iteration 12760/ 41007 | consumed samples: 3266560 | consumed tokens: 6689914880 | elapsed time per iteration (s): 0.77 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 2.333961E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.719 | TFLOPs: 45.84 | 7: iteration 12770/ 41007 | consumed samples: 3269120 | consumed tokens: 6695157760 | elapsed time per iteration (s): 0.77 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 2.322322E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.760 | TFLOPs: 45.84 | 7: iteration 12780/ 41007 | consumed samples: 3271680 | consumed tokens: 6700400640 | elapsed time per iteration (s): 0.75 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.338954E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.637 | TFLOPs: 46.79 | 7: iteration 12790/ 41007 | consumed samples: 3274240 | consumed tokens: 6705643520 | elapsed time per iteration (s): 0.76 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.324085E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.424 | TFLOPs: 46.07 | 7: iteration 12800/ 41007 | consumed samples: 3276800 | consumed tokens: 6710886400 | elapsed time per iteration (s): 0.77 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.343744E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.278 | TFLOPs: 45.78 | 7: iteration 12810/ 41007 | consumed samples: 3279360 | consumed tokens: 6716129280 | elapsed time per iteration (s): 0.78 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.336214E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.623 | TFLOPs: 44.86 | 7: iteration 12820/ 41007 | consumed samples: 3281920 | consumed tokens: 6721372160 | elapsed time per iteration (s): 0.77 | learning rate: 1.616E-04 | global batch size: 256 | lm loss: 2.328564E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.565 | TFLOPs: 45.54 | 7: iteration 12830/ 41007 | consumed samples: 3284480 | consumed tokens: 6726615040 | elapsed time per iteration (s): 0.76 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 2.332016E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.189 | TFLOPs: 46.18 | 7: iteration 12840/ 41007 | consumed samples: 3287040 | consumed tokens: 6731857920 | elapsed time per iteration (s): 0.77 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 2.330264E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.077 | TFLOPs: 45.48 | 7: iteration 12850/ 41007 | consumed samples: 3289600 | consumed tokens: 6737100800 | elapsed time per iteration (s): 0.78 | learning rate: 1.614E-04 | global batch size: 256 | lm loss: 2.290547E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.963 | TFLOPs: 45.05 | 7: iteration 12860/ 41007 | consumed 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| samples per second: 330.567 | TFLOPs: 45.41 | 7: iteration 12920/ 41007 | consumed samples: 3307520 | consumed tokens: 6773800960 | elapsed time per iteration (s): 0.75 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.370921E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.388 | TFLOPs: 46.62 | 7: iteration 12930/ 41007 | consumed samples: 3310080 | consumed tokens: 6779043840 | elapsed time per iteration (s): 0.77 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.342273E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.127 | TFLOPs: 45.90 | 7: iteration 12940/ 41007 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 0.78 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 2.344295E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.062 | TFLOPs: 45.34 | 7: iteration 12950/ 41007 | consumed samples: 3315200 | consumed tokens: 6789529600 | elapsed time per iteration (s): 0.78 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.323202E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.125 | TFLOPs: 45.07 | 7: iteration 12960/ 41007 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 0.77 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.301870E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.064 | TFLOPs: 45.61 | 7: iteration 12970/ 41007 | consumed samples: 3320320 | consumed tokens: 6800015360 | elapsed time per iteration (s): 0.75 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.314678E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.469 | TFLOPs: 46.77 | 7: iteration 12980/ 41007 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 0.76 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.346290E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.753 | TFLOPs: 45.98 | 7: iteration 12990/ 41007 | consumed samples: 3325440 | consumed tokens: 6810501120 | elapsed time per iteration (s): 0.77 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.298160E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.665 | TFLOPs: 45.42 | 7: iteration 13000/ 41007 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 0.77 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.339813E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.423 | TFLOPs: 45.52 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 13000 | lm loss value: 2.277712E+00 | lm loss PPL: 9.754336E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 13000 to checkpoints_619m22b 0: [2022-11-28 15:44:57,399] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step13000 is begin to save! 0: [2022-11-28 15:44:57,403] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step13000/layer_01-model_00-model_states.pt... 0: [2022-11-28 15:44:57,594] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step13000/layer_01-model_00-model_states.pt. 0: [2022-11-28 15:44:57,594] 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checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:44:58,894] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-28 15:44:58,894] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-28 15:44:58,895] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:44:58,895] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-28 15:44:58,895] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 5: [2022-11-28 15:44:58,896] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:44:58,896] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-28 15:44:58,896] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-28 15:44:58,901] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-28 15:44:58,901] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-28 15:44:58,901] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-28 15:44:58,902] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-28 15:44:58,902] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-28 15:44:58,902] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-28 15:44:58,902] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-28 15:44:58,902] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-28 15:44:58,902] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-28 15:44:58,902] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-28 15:44:58,902] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 7: [2022-11-28 15:44:58,902] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 0: [2022-11-28 15:44:58,970] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step13000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 15:44:58,970] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 0: successfully saved checkpoint at iteration 13000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1585.14 7: iteration 13010/ 41007 | consumed samples: 3330560 | consumed tokens: 6820986880 | elapsed time per iteration (s): 0.94 | learning rate: 1.605E-04 | global batch size: 256 | lm loss: 2.344767E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 272.033 | TFLOPs: 37.37 | 7: iteration 13020/ 41007 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 0.75 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.323604E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.179 | TFLOPs: 46.59 | 7: iteration 13030/ 41007 | consumed samples: 3335680 | consumed tokens: 6831472640 | elapsed time per iteration (s): 0.77 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.311287E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.975 | TFLOPs: 45.74 | 7: iteration 13040/ 41007 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 0.77 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 2.332442E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.030 | TFLOPs: 45.61 | 7: iteration 13050/ 41007 | consumed samples: 3340800 | consumed tokens: 6841958400 | elapsed time per iteration (s): 0.77 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 2.294028E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.618 | TFLOPs: 45.55 | 7: iteration 13060/ 41007 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 0.77 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.320292E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.854 | TFLOPs: 45.86 | 7: iteration 13070/ 41007 | consumed samples: 3345920 | consumed tokens: 6852444160 | elapsed time per iteration (s): 0.77 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.337084E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.520 | TFLOPs: 45.54 | 7: iteration 13080/ 41007 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 0.77 | learning rate: 1.601E-04 | global batch size: 256 | lm loss: 2.353544E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.720 | TFLOPs: 45.84 | 7: iteration 13090/ 41007 | consumed samples: 3351040 | consumed tokens: 6862929920 | elapsed time per iteration (s): 0.76 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.321790E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.972 | TFLOPs: 46.15 | 7: iteration 13100/ 41007 | consumed 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45.96 | 7: iteration 13130/ 41007 | consumed samples: 3361280 | consumed tokens: 6883901440 | elapsed time per iteration (s): 0.77 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 2.307316E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.266 | TFLOPs: 45.78 | 7: iteration 13140/ 41007 | consumed samples: 3363840 | consumed tokens: 6889144320 | elapsed time per iteration (s): 0.78 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 2.284447E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.663 | TFLOPs: 45.14 | 7: iteration 13150/ 41007 | consumed samples: 3366400 | consumed tokens: 6894387200 | elapsed time per iteration (s): 0.78 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 2.334412E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.597 | TFLOPs: 45.27 | 7: iteration 13160/ 41007 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 0.77 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.337039E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.384 | TFLOPs: 45.38 | 7: iteration 13170/ 41007 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.76 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.327058E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.296 | TFLOPs: 46.47 | 7: iteration 13180/ 41007 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.77 | learning rate: 1.595E-04 | global batch size: 256 | lm loss: 2.296683E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.995 | TFLOPs: 45.60 | 7: iteration 13190/ 41007 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.76 | learning rate: 1.595E-04 | global batch size: 256 | lm loss: 2.336993E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.144 | TFLOPs: 46.17 | 7: iteration 13200/ 41007 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.76 | learning rate: 1.594E-04 | global batch size: 256 | lm loss: 2.325022E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.031 | TFLOPs: 46.43 | 7: iteration 13210/ 41007 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 6.22 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.294901E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 41.125 | TFLOPs: 5.65 | 7: iteration 13220/ 41007 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 0.77 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.346057E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.779 | TFLOPs: 45.71 | 7: iteration 13230/ 41007 | consumed samples: 3386880 | consumed tokens: 6936330240 | elapsed time per iteration (s): 0.77 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 2.334930E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.490 | TFLOPs: 45.67 | 7: iteration 13240/ 41007 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 0.75 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 2.327861E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.849 | TFLOPs: 46.82 | 7: iteration 13250/ 41007 | consumed samples: 3392000 | consumed tokens: 6946816000 | elapsed time per iteration (s): 0.76 | learning rate: 1.591E-04 | global batch size: 256 | lm loss: 2.333032E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.767 | TFLOPs: 46.53 | 7: iteration 13260/ 41007 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.76 | learning rate: 1.591E-04 | global batch size: 256 | lm loss: 2.342499E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.595 | TFLOPs: 46.10 | 7: iteration 13270/ 41007 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.77 | learning rate: 1.590E-04 | global batch size: 256 | lm loss: 2.344351E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.615 | TFLOPs: 45.82 | 7: iteration 13280/ 41007 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.76 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 2.298425E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.674 | TFLOPs: 46.24 | 7: iteration 13290/ 41007 | consumed samples: 3402240 | consumed tokens: 6967787520 | elapsed time per iteration (s): 0.76 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 2.344400E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.594 | TFLOPs: 46.23 | 7: iteration 13300/ 41007 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 0.75 | learning rate: 1.588E-04 | global batch size: 256 | lm loss: 2.334295E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.940 | TFLOPs: 46.69 | 7: iteration 13310/ 41007 | consumed samples: 3407360 | consumed tokens: 6978273280 | elapsed time per iteration (s): 0.76 | learning rate: 1.588E-04 | global batch size: 256 | lm loss: 2.336617E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.886 | TFLOPs: 46.55 | 7: iteration 13320/ 41007 | consumed samples: 3409920 | consumed tokens: 6983516160 | elapsed time per iteration (s): 0.76 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 2.320506E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.692 | TFLOPs: 45.97 | 7: iteration 13330/ 41007 | consumed 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46.10 | 7: iteration 13360/ 41007 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 0.77 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.326358E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.345 | TFLOPs: 45.51 | 7: iteration 13370/ 41007 | consumed samples: 3422720 | consumed tokens: 7009730560 | elapsed time per iteration (s): 0.76 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 2.325072E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.049 | TFLOPs: 46.30 | 7: iteration 13380/ 41007 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 0.78 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 2.319185E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.437 | TFLOPs: 44.84 | 7: iteration 13390/ 41007 | consumed samples: 3427840 | consumed tokens: 7020216320 | elapsed time per iteration (s): 0.76 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.328022E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.416 | TFLOPs: 46.21 | 7: iteration 13400/ 41007 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 0.76 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 2.329638E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.047 | TFLOPs: 46.43 | 7: iteration 13410/ 41007 | consumed samples: 3432960 | consumed tokens: 7030702080 | elapsed time per iteration (s): 0.77 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 2.353077E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped 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0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.254 | TFLOPs: 46.32 | 7: iteration 13450/ 41007 | consumed samples: 3443200 | consumed tokens: 7051673600 | elapsed time per iteration (s): 0.77 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 2.335628E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.045 | TFLOPs: 45.47 | 7: iteration 13460/ 41007 | consumed samples: 3445760 | consumed tokens: 7056916480 | elapsed time per iteration (s): 0.76 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 2.348160E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.068 | TFLOPs: 46.30 | 7: iteration 13470/ 41007 | consumed samples: 3448320 | consumed tokens: 7062159360 | elapsed time per iteration (s): 0.76 | learning rate: 1.578E-04 | global batch size: 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learning rate: 1.576E-04 | global batch size: 256 | lm loss: 2.300047E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.352 | TFLOPs: 46.75 | 7: iteration 13510/ 41007 | consumed samples: 3458560 | consumed tokens: 7083130880 | elapsed time per iteration (s): 0.77 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 2.339523E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.979 | TFLOPs: 45.74 | 7: iteration 13520/ 41007 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 0.77 | learning rate: 1.575E-04 | global batch size: 256 | lm loss: 2.342324E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.219 | TFLOPs: 45.63 | 7: iteration 13530/ 41007 | consumed samples: 3463680 | consumed tokens: 7093616640 | elapsed time per iteration (s): 0.76 | learning rate: 1.575E-04 | global batch size: 256 | lm loss: 2.309580E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.036 | TFLOPs: 46.57 | 7: iteration 13540/ 41007 | consumed samples: 3466240 | consumed tokens: 7098859520 | elapsed time per iteration (s): 0.77 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 2.347332E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.617 | TFLOPs: 45.69 | 7: iteration 13550/ 41007 | consumed samples: 3468800 | consumed tokens: 7104102400 | elapsed time per iteration (s): 0.78 | learning rate: 1.573E-04 | global batch size: 256 | lm loss: 2.327204E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.931 | TFLOPs: 45.18 | 7: iteration 13560/ 41007 | consumed 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| samples per second: 337.410 | TFLOPs: 46.35 | 7: iteration 13620/ 41007 | consumed samples: 3486720 | consumed tokens: 7140802560 | elapsed time per iteration (s): 0.77 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 2.308654E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.515 | TFLOPs: 45.67 | 7: iteration 13630/ 41007 | consumed samples: 3489280 | consumed tokens: 7146045440 | elapsed time per iteration (s): 0.76 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 2.329037E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.240 | TFLOPs: 46.32 | 7: iteration 13640/ 41007 | consumed samples: 3491840 | consumed tokens: 7151288320 | elapsed time per iteration (s): 0.76 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 2.302598E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped 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learning rate: 1.563E-04 | global batch size: 256 | lm loss: 2.327746E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.858 | TFLOPs: 46.27 | 7: iteration 13740/ 41007 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 0.78 | learning rate: 1.562E-04 | global batch size: 256 | lm loss: 2.333783E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.267 | TFLOPs: 45.09 | 7: iteration 13750/ 41007 | consumed samples: 3520000 | consumed tokens: 7208960000 | elapsed time per iteration (s): 0.76 | learning rate: 1.562E-04 | global batch size: 256 | lm loss: 2.328475E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.638 | TFLOPs: 46.10 | 7: iteration 13760/ 41007 | consumed samples: 3522560 | consumed tokens: 7214202880 | elapsed time per iteration (s): 0.78 | learning rate: 1.561E-04 | global batch size: 256 | lm loss: 2.298658E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.633 | TFLOPs: 45.28 | 7: iteration 13770/ 41007 | consumed samples: 3525120 | consumed tokens: 7219445760 | elapsed time per iteration (s): 0.77 | learning rate: 1.560E-04 | global batch size: 256 | lm loss: 2.359256E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.925 | TFLOPs: 45.87 | 7: iteration 13780/ 41007 | consumed samples: 3527680 | consumed tokens: 7224688640 | elapsed time per iteration (s): 0.75 | learning rate: 1.560E-04 | global batch size: 256 | lm loss: 2.301191E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.096 | TFLOPs: 46.85 | 7: iteration 13790/ 41007 | consumed 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| samples per second: 330.670 | TFLOPs: 45.42 | 7: iteration 13850/ 41007 | consumed samples: 3545600 | consumed tokens: 7261388800 | elapsed time per iteration (s): 0.75 | learning rate: 1.556E-04 | global batch size: 256 | lm loss: 2.330954E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.113 | TFLOPs: 46.72 | 7: iteration 13860/ 41007 | consumed samples: 3548160 | consumed tokens: 7266631680 | elapsed time per iteration (s): 0.77 | learning rate: 1.555E-04 | global batch size: 256 | lm loss: 2.364112E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.803 | TFLOPs: 45.58 | 7: iteration 13870/ 41007 | consumed samples: 3550720 | consumed tokens: 7271874560 | elapsed time per iteration (s): 0.78 | learning rate: 1.554E-04 | global batch size: 256 | lm loss: 2.331144E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped 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0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.785 | TFLOPs: 45.99 | 7: iteration 13910/ 41007 | consumed samples: 3560960 | consumed tokens: 7292846080 | elapsed time per iteration (s): 0.75 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 2.334989E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.343 | TFLOPs: 47.02 | 7: iteration 13920/ 41007 | consumed samples: 3563520 | consumed tokens: 7298088960 | elapsed time per iteration (s): 0.76 | learning rate: 1.551E-04 | global batch size: 256 | lm loss: 2.305236E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.006 | TFLOPs: 46.57 | 7: iteration 13930/ 41007 | consumed samples: 3566080 | consumed tokens: 7303331840 | elapsed time per iteration (s): 0.77 | learning rate: 1.551E-04 | global batch size: 256 | lm loss: 2.318003E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.062 | TFLOPs: 45.75 | 7: iteration 13940/ 41007 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 0.75 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.341388E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.809 | TFLOPs: 46.68 | 7: iteration 13950/ 41007 | consumed samples: 3571200 | consumed tokens: 7313817600 | elapsed time per iteration (s): 0.76 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.336566E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.376 | TFLOPs: 46.34 | 7: iteration 13960/ 41007 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 0.77 | learning rate: 1.549E-04 | global batch size: 256 | lm loss: 2.321648E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.470 | TFLOPs: 45.39 | 7: iteration 13970/ 41007 | consumed samples: 3576320 | consumed tokens: 7324303360 | elapsed time per iteration (s): 0.76 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 2.307431E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.815 | TFLOPs: 46.40 | 7: iteration 13980/ 41007 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.77 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 2.321685E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.346 | TFLOPs: 45.65 | 7: iteration 13990/ 41007 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.77 | learning rate: 1.547E-04 | global batch size: 256 | lm loss: 2.291086E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.266 | TFLOPs: 45.78 | 0: [2022-11-28 15:58:37,987] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[0.00015465406415723223, 0.00015465406415723223, 0.00015465406415723223], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 14000/ 41007 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.76 | learning rate: 1.547E-04 | global batch size: 256 | lm loss: 2.296490E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.056 | TFLOPs: 46.30 | 0: steps: 14000 loss: 2.3158 iter time (s): 0.791 samples/sec: 323.696 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 14000 | lm loss value: 2.249749E+00 | lm loss PPL: 9.485359E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 14000 to checkpoints_619m22b 0: [2022-11-28 15:58:38,251] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14000 is begin to save! 0: [2022-11-28 15:58:38,255] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step14000/layer_01-model_00-model_states.pt... 0: [2022-11-28 15:58:38,425] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step14000/layer_01-model_00-model_states.pt. 0: [2022-11-28 15:58:38,426] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step14000/layer_03-model_00-model_states.pt... 0: [2022-11-28 15:58:38,478] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_619m22b/global_step14000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-28 15:58:39,655] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 4: [2022-11-28 15:58:39,655] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 6: [2022-11-28 15:58:39,654] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step14000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 5: [2022-11-28 15:58:39,649] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 7: [2022-11-28 15:58:39,655] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step14000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 4: [2022-11-28 15:58:39,655] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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second: 338.516 | TFLOPs: 46.50 | 7: iteration 14050/ 41007 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.79 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 2.297734E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.658 | TFLOPs: 44.73 | 7: iteration 14060/ 41007 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.76 | learning rate: 1.543E-04 | global batch size: 256 | lm loss: 2.300732E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.604 | TFLOPs: 46.51 | 7: iteration 14070/ 41007 | consumed samples: 3601920 | consumed tokens: 7376732160 | elapsed time per iteration (s): 0.76 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 2.282936E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.582 | TFLOPs: 46.09 | 7: iteration 14080/ 41007 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 0.76 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 2.330439E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.303 | TFLOPs: 46.06 | 7: iteration 14090/ 41007 | consumed samples: 3607040 | consumed tokens: 7387217920 | elapsed time per iteration (s): 0.76 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 2.291573E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.658 | TFLOPs: 46.38 | 7: iteration 14100/ 41007 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.75 | learning rate: 1.540E-04 | global batch size: 256 | lm loss: 2.322203E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.948 | TFLOPs: 46.69 | 7: iteration 14110/ 41007 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.78 | learning rate: 1.540E-04 | global batch size: 256 | lm loss: 2.324525E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.731 | TFLOPs: 45.02 | 7: iteration 14120/ 41007 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.77 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.323335E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.566 | TFLOPs: 45.41 | 7: iteration 14130/ 41007 | consumed samples: 3617280 | consumed tokens: 7408189440 | elapsed time per iteration (s): 0.76 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.341967E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.244 | TFLOPs: 46.46 | 7: iteration 14140/ 41007 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 0.76 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 2.296929E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.527 | TFLOPs: 46.36 | 7: iteration 14150/ 41007 | consumed samples: 3622400 | consumed tokens: 7418675200 | elapsed time per iteration (s): 0.77 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.336565E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.041 | TFLOPs: 45.88 | 7: iteration 14160/ 41007 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 0.76 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.347927E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.773 | TFLOPs: 45.98 | 7: iteration 14170/ 41007 | consumed samples: 3627520 | consumed tokens: 7429160960 | elapsed time per iteration (s): 0.76 | learning rate: 1.536E-04 | global batch size: 256 | lm loss: 2.308945E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.044 | TFLOPs: 46.43 | 7: iteration 14180/ 41007 | consumed samples: 3630080 | consumed tokens: 7434403840 | elapsed time per iteration (s): 0.77 | learning rate: 1.536E-04 | global batch size: 256 | lm loss: 2.353543E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.392 | TFLOPs: 45.38 | 7: iteration 14190/ 41007 | consumed samples: 3632640 | consumed tokens: 7439646720 | elapsed time 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second: 331.350 | TFLOPs: 45.51 | 7: iteration 14280/ 41007 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 0.79 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 2.310973E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.541 | TFLOPs: 44.72 | 7: iteration 14290/ 41007 | consumed samples: 3658240 | consumed tokens: 7492075520 | elapsed time per iteration (s): 0.75 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 2.328509E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.676 | TFLOPs: 46.66 | 7: iteration 14300/ 41007 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 0.77 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.273131E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.980 | TFLOPs: 45.46 | 7: iteration 14310/ 41007 | consumed samples: 3663360 | consumed tokens: 7502561280 | elapsed time per iteration (s): 0.77 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.277279E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.382 | TFLOPs: 45.79 | 7: iteration 14320/ 41007 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 0.77 | learning rate: 1.527E-04 | global batch size: 256 | lm loss: 2.281596E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.420 | TFLOPs: 45.94 | 7: iteration 14330/ 41007 | consumed samples: 3668480 | consumed tokens: 7513047040 | elapsed time per iteration (s): 0.77 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 2.294875E+00 | grad norm: 0.171 | num zeros: 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2.343147E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.563 | TFLOPs: 45.54 | 7: iteration 14370/ 41007 | consumed samples: 3678720 | consumed tokens: 7534018560 | elapsed time per iteration (s): 0.77 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 2.342461E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.414 | TFLOPs: 45.80 | 7: iteration 14380/ 41007 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 0.76 | learning rate: 1.523E-04 | global batch size: 256 | lm loss: 2.298914E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.482 | TFLOPs: 46.08 | 7: iteration 14390/ 41007 | consumed samples: 3683840 | consumed tokens: 7544504320 | elapsed time per iteration (s): 0.77 | learning rate: 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consumed tokens: 7575961600 | elapsed time per iteration (s): 0.76 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 2.297890E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.400 | TFLOPs: 46.48 | 7: iteration 14460/ 41007 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 0.78 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 2.324738E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.662 | TFLOPs: 45.01 | 7: iteration 14470/ 41007 | consumed samples: 3704320 | consumed tokens: 7586447360 | elapsed time per iteration (s): 0.76 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 2.329535E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.418 | TFLOPs: 46.07 | 7: iteration 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second: 339.011 | TFLOPs: 46.57 | 7: iteration 14510/ 41007 | consumed samples: 3714560 | consumed tokens: 7607418880 | elapsed time per iteration (s): 0.76 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 2.324264E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.278 | TFLOPs: 46.47 | 7: iteration 14520/ 41007 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed time per iteration (s): 0.76 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 2.362310E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.031 | TFLOPs: 46.02 | 7: iteration 14530/ 41007 | consumed samples: 3719680 | consumed tokens: 7617904640 | elapsed time per iteration (s): 0.77 | learning rate: 1.514E-04 | global batch size: 256 | lm loss: 2.304568E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.671 | TFLOPs: 45.70 | 7: iteration 14540/ 41007 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 0.78 | learning rate: 1.514E-04 | global batch size: 256 | lm loss: 2.317762E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.125 | TFLOPs: 45.21 | 7: iteration 14550/ 41007 | consumed samples: 3724800 | consumed tokens: 7628390400 | elapsed time per iteration (s): 0.75 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 2.284438E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.425 | TFLOPs: 46.76 | 7: iteration 14560/ 41007 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 0.78 | learning rate: 1.512E-04 | global batch size: 256 | lm loss: 2.299872E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.955 | TFLOPs: 45.18 | 7: iteration 14570/ 41007 | consumed samples: 3729920 | consumed tokens: 7638876160 | elapsed time per iteration (s): 0.75 | learning rate: 1.512E-04 | global batch size: 256 | lm loss: 2.302722E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.173 | TFLOPs: 46.73 | 7: iteration 14580/ 41007 | consumed samples: 3732480 | consumed tokens: 7644119040 | elapsed time per iteration (s): 0.76 | learning rate: 1.511E-04 | global batch size: 256 | lm loss: 2.280585E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.963 | TFLOPs: 46.28 | 7: iteration 14590/ 41007 | consumed samples: 3735040 | consumed tokens: 7649361920 | elapsed time per iteration (s): 0.75 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.319943E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.486 | TFLOPs: 47.04 | 7: iteration 14600/ 41007 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 0.78 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.330648E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.197 | TFLOPs: 45.36 | 7: iteration 14610/ 41007 | consumed samples: 3740160 | consumed tokens: 7659847680 | elapsed time per iteration (s): 0.76 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 2.313444E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.396 | TFLOPs: 46.48 | 7: iteration 14620/ 41007 | consumed samples: 3742720 | consumed tokens: 7665090560 | elapsed time per iteration (s): 0.76 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 2.323846E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.285 | TFLOPs: 46.19 | 7: iteration 14630/ 41007 | consumed samples: 3745280 | consumed tokens: 7670333440 | elapsed time per iteration (s): 0.76 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.283216E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.695 | TFLOPs: 46.25 | 7: iteration 14640/ 41007 | consumed samples: 3747840 | consumed tokens: 7675576320 | elapsed time per iteration (s): 0.75 | learning rate: 1.507E-04 | global batch size: 256 | lm loss: 2.294133E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.323 | TFLOPs: 46.61 | 7: iteration 14650/ 41007 | consumed samples: 3750400 | consumed tokens: 7680819200 | elapsed time per iteration (s): 0.76 | learning rate: 1.507E-04 | global batch size: 256 | lm loss: 2.314102E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.744 | TFLOPs: 46.39 | 7: iteration 14660/ 41007 | consumed samples: 3752960 | consumed tokens: 7686062080 | elapsed time per iteration (s): 0.77 | learning rate: 1.506E-04 | global batch size: 256 | lm loss: 2.288074E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.114 | TFLOPs: 45.76 | 7: iteration 14670/ 41007 | consumed samples: 3755520 | consumed tokens: 7691304960 | elapsed time per iteration (s): 0.76 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.299228E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.119 | TFLOPs: 46.03 | 7: iteration 14680/ 41007 | consumed samples: 3758080 | consumed tokens: 7696547840 | elapsed time per iteration (s): 0.77 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.321764E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.263 | TFLOPs: 45.50 | 7: iteration 14690/ 41007 | consumed samples: 3760640 | consumed tokens: 7701790720 | elapsed time per iteration (s): 0.76 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 2.292752E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.471 | TFLOPs: 46.22 | 7: iteration 14700/ 41007 | consumed samples: 3763200 | consumed tokens: 7707033600 | elapsed time per iteration (s): 0.77 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 2.325153E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.188 | TFLOPs: 45.77 | 7: iteration 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second: 331.882 | TFLOPs: 45.59 | 7: iteration 14740/ 41007 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 0.77 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 2.309578E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.454 | TFLOPs: 45.94 | 7: iteration 14750/ 41007 | consumed samples: 3776000 | consumed tokens: 7733248000 | elapsed time per iteration (s): 0.76 | learning rate: 1.500E-04 | global batch size: 256 | lm loss: 2.312645E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.660 | TFLOPs: 46.11 | 7: iteration 14760/ 41007 | consumed samples: 3778560 | consumed tokens: 7738490880 | elapsed time per iteration (s): 0.76 | learning rate: 1.500E-04 | global batch size: 256 | lm loss: 2.288573E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.903 | TFLOPs: 46.14 | 7: iteration 14770/ 41007 | consumed samples: 3781120 | consumed tokens: 7743733760 | elapsed time per iteration (s): 0.76 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 2.297027E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.468 | TFLOPs: 46.35 | 7: iteration 14780/ 41007 | consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 0.75 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 2.329821E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.394 | TFLOPs: 46.62 | 7: iteration 14790/ 41007 | consumed samples: 3786240 | consumed tokens: 7754219520 | elapsed time per iteration (s): 0.77 | learning rate: 1.498E-04 | global batch size: 256 | lm loss: 2.321938E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.918 | TFLOPs: 45.59 | 7: iteration 14800/ 41007 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 1.11 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 2.294333E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 230.673 | TFLOPs: 31.68 | 7: iteration 14810/ 41007 | consumed samples: 3791360 | consumed tokens: 7764705280 | elapsed time per iteration (s): 0.76 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 2.334766E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.223 | TFLOPs: 46.32 | 7: iteration 14820/ 41007 | consumed samples: 3793920 | consumed tokens: 7769948160 | elapsed time per iteration (s): 0.91 | learning rate: 1.496E-04 | global batch size: 256 | lm loss: 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number of nan iterations: 0 | samples per second: 337.313 | TFLOPs: 46.33 | 7: iteration 15000/ 41007 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 0.76 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 2.290563E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.853 | TFLOPs: 45.99 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 15000 | lm loss value: 2.295962E+00 | lm loss PPL: 9.933989E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 15000 to checkpoints_619m22b 0: [2022-11-28 16:11:33,389] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step15000 is begin to save! 0: [2022-11-28 16:11:33,489] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-28 16:11:35,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,315] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-28 16:11:35,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,315] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,315] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-28 16:11:35,315] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-28 16:11:35,315] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-28 16:11:35,315] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-28 16:11:35,317] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-28 16:11:35,317] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,317] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-28 16:11:35,317] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-28 16:11:35,317] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,317] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 2: [2022-11-28 16:11:35,317] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-28 16:11:35,317] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-28 16:11:35,318] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 6: [2022-11-28 16:11:35,318] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-28 16:11:35,319] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step15000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-28 16:11:35,319] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 0: successfully saved checkpoint at iteration 15000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1975.01 7: iteration 15010/ 41007 | consumed samples: 3842560 | consumed tokens: 7869562880 | elapsed time per iteration (s): 0.99 | learning rate: 1.484E-04 | global batch size: 256 | lm loss: 2.307060E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 257.409 | TFLOPs: 35.36 | 7: iteration 15020/ 41007 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 0.76 | learning rate: 1.484E-04 | global batch size: 256 | lm loss: 2.288181E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.653 | TFLOPs: 46.24 | 7: iteration 15030/ 41007 | consumed samples: 3847680 | consumed tokens: 7880048640 | elapsed time per iteration (s): 0.77 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 2.316329E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.282 | TFLOPs: 45.92 | 7: iteration 15040/ 41007 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 0.76 | learning rate: 1.482E-04 | global batch size: 256 | lm loss: 2.341374E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.659 | TFLOPs: 45.97 | 7: iteration 15050/ 41007 | consumed samples: 3852800 | consumed tokens: 7890534400 | elapsed time per iteration (s): 0.77 | learning rate: 1.482E-04 | global batch size: 256 | lm loss: 2.282131E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.338 | TFLOPs: 45.79 | 7: iteration 15060/ 41007 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 0.75 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 2.281146E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.731 | TFLOPs: 46.66 | 7: iteration 15070/ 41007 | consumed samples: 3857920 | consumed tokens: 7901020160 | elapsed time per iteration (s): 0.78 | learning rate: 1.480E-04 | global batch size: 256 | lm loss: 2.298436E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.139 | TFLOPs: 45.35 | 7: iteration 15080/ 41007 | consumed samples: 3860480 | consumed tokens: 7906263040 | elapsed time per iteration (s): 0.76 | learning rate: 1.480E-04 | global batch size: 256 | lm loss: 2.314661E+00 | grad norm: 4.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.425 | TFLOPs: 46.21 | 7: iteration 15090/ 41007 | consumed samples: 3863040 | consumed tokens: 7911505920 | elapsed time per iteration (s): 0.76 | learning rate: 1.479E-04 | global batch size: 256 | lm loss: 2.429226E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.117 | TFLOPs: 46.44 | 7: iteration 15100/ 41007 | consumed samples: 3865600 | consumed tokens: 7916748800 | elapsed time per iteration (s): 0.76 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.337576E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.773 | TFLOPs: 46.12 | 7: iteration 15110/ 41007 | consumed samples: 3868160 | consumed tokens: 7921991680 | elapsed time per iteration (s): 0.75 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.336765E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.435 | TFLOPs: 46.76 | 7: iteration 15120/ 41007 | consumed samples: 3870720 | consumed tokens: 7927234560 | elapsed time per iteration (s): 0.77 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 2.313509E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.241 | TFLOPs: 45.64 | 7: iteration 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second: 338.436 | TFLOPs: 46.49 | 7: iteration 15160/ 41007 | consumed samples: 3880960 | consumed tokens: 7948206080 | elapsed time per iteration (s): 0.77 | learning rate: 1.475E-04 | global batch size: 256 | lm loss: 2.299725E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.200 | TFLOPs: 45.77 | 7: iteration 15170/ 41007 | consumed samples: 3883520 | consumed tokens: 7953448960 | elapsed time per iteration (s): 0.78 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.318731E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.251 | TFLOPs: 45.09 | 7: iteration 15180/ 41007 | consumed samples: 3886080 | consumed tokens: 7958691840 | elapsed time per iteration (s): 0.75 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 2.293858E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.853 | TFLOPs: 46.68 | 7: iteration 15190/ 41007 | consumed samples: 3888640 | consumed tokens: 7963934720 | elapsed time per iteration (s): 0.77 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 2.295956E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.863 | TFLOPs: 45.72 | 7: iteration 15200/ 41007 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 0.75 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 2.318599E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.336 | TFLOPs: 46.61 | 7: iteration 15210/ 41007 | consumed samples: 3893760 | consumed tokens: 7974420480 | elapsed time per iteration (s): 0.77 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 2.293871E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.560 | TFLOPs: 45.41 | 7: iteration 15220/ 41007 | consumed samples: 3896320 | consumed tokens: 7979663360 | elapsed time per iteration (s): 0.76 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 2.320001E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.454 | TFLOPs: 46.49 | 7: iteration 15230/ 41007 | consumed samples: 3898880 | consumed tokens: 7984906240 | elapsed time per iteration (s): 0.75 | learning rate: 1.470E-04 | global batch size: 256 | lm loss: 2.298893E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.569 | TFLOPs: 46.78 | 7: iteration 15240/ 41007 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 0.76 | learning rate: 1.470E-04 | global batch size: 256 | lm loss: 2.307794E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.612 | TFLOPs: 46.10 | 7: iteration 15250/ 41007 | consumed samples: 3904000 | consumed tokens: 7995392000 | elapsed time per iteration (s): 0.75 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.291097E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.420 | TFLOPs: 46.76 | 7: iteration 15260/ 41007 | consumed samples: 3906560 | consumed tokens: 8000634880 | elapsed time per iteration (s): 0.75 | learning rate: 1.468E-04 | global batch size: 256 | lm loss: 2.315080E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.012 | TFLOPs: 47.12 | 7: iteration 15270/ 41007 | consumed samples: 3909120 | consumed tokens: 8005877760 | elapsed time per iteration (s): 0.77 | learning rate: 1.468E-04 | global batch size: 256 | lm loss: 2.292060E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.206 | TFLOPs: 45.77 | 7: iteration 15280/ 41007 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 0.77 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.309545E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.762 | TFLOPs: 45.43 | 7: iteration 15290/ 41007 | consumed samples: 3914240 | consumed tokens: 8016363520 | elapsed time per iteration (s): 0.76 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 2.286280E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.532 | TFLOPs: 46.36 | 7: iteration 15300/ 41007 | consumed samples: 3916800 | consumed tokens: 8021606400 | elapsed time per iteration (s): 0.79 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 2.287967E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.738 | TFLOPs: 44.47 | 7: iteration 15310/ 41007 | consumed samples: 3919360 | consumed tokens: 8026849280 | elapsed time per iteration (s): 0.76 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 2.304753E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.008 | TFLOPs: 46.02 | 7: iteration 15320/ 41007 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 0.77 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 2.295587E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.233 | TFLOPs: 45.50 | 7: iteration 15330/ 41007 | consumed samples: 3924480 | consumed tokens: 8037335040 | elapsed time per iteration (s): 0.79 | learning rate: 1.464E-04 | global batch size: 256 | lm loss: 2.281422E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.954 | TFLOPs: 44.50 | 7: iteration 15340/ 41007 | consumed samples: 3927040 | consumed tokens: 8042577920 | elapsed time per iteration (s): 0.77 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 2.310564E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.787 | TFLOPs: 45.71 | 7: iteration 15350/ 41007 | consumed samples: 3929600 | consumed tokens: 8047820800 | elapsed time per iteration (s): 0.76 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 2.295381E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.484 | TFLOPs: 46.36 | 7: iteration 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second: 336.621 | TFLOPs: 46.24 | 7: iteration 15390/ 41007 | consumed samples: 3939840 | consumed tokens: 8068792320 | elapsed time per iteration (s): 0.75 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.313883E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.817 | TFLOPs: 46.68 | 7: iteration 15400/ 41007 | consumed samples: 3942400 | consumed tokens: 8074035200 | elapsed time per iteration (s): 0.77 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 2.282889E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.938 | TFLOPs: 45.87 | 7: iteration 15410/ 41007 | consumed samples: 3944960 | consumed tokens: 8079278080 | elapsed time per iteration (s): 0.75 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 2.325799E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.383 | TFLOPs: 46.75 | 7: iteration 15420/ 41007 | consumed samples: 3947520 | consumed tokens: 8084520960 | elapsed time per iteration (s): 0.76 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.317464E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.360 | TFLOPs: 46.48 | 7: iteration 15430/ 41007 | consumed samples: 3950080 | consumed tokens: 8089763840 | elapsed time per iteration (s): 0.75 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.293147E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.675 | TFLOPs: 46.79 | 7: iteration 15440/ 41007 | consumed samples: 3952640 | consumed tokens: 8095006720 | elapsed time per iteration (s): 0.76 | learning rate: 1.457E-04 | global batch size: 256 | lm loss: 2.291662E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.439 | TFLOPs: 46.35 | 7: iteration 15450/ 41007 | consumed samples: 3955200 | consumed tokens: 8100249600 | elapsed time per iteration (s): 0.76 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 2.303896E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.454 | TFLOPs: 46.35 | 7: iteration 15460/ 41007 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 0.77 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 2.302658E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.682 | TFLOPs: 45.83 | 7: iteration 15470/ 41007 | consumed samples: 3960320 | consumed tokens: 8110735360 | elapsed time per iteration (s): 0.76 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 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per iteration (s): 0.76 | learning rate: 1.436E-04 | global batch size: 256 | lm loss: 2.304937E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.315 | TFLOPs: 46.20 | 7: iteration 15770/ 41007 | consumed samples: 4037120 | consumed tokens: 8268021760 | elapsed time per iteration (s): 0.78 | learning rate: 1.436E-04 | global batch size: 256 | lm loss: 2.301656E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.256 | TFLOPs: 45.36 | 7: iteration 15780/ 41007 | consumed samples: 4039680 | consumed tokens: 8273264640 | elapsed time per iteration (s): 0.77 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 2.279937E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.230 | TFLOPs: 45.77 | 7: iteration 15790/ 41007 | consumed samples: 4042240 | consumed tokens: 8278507520 | elapsed time per iteration (s): 0.76 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 2.277447E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.454 | TFLOPs: 46.35 | 7: iteration 15800/ 41007 | consumed samples: 4044800 | consumed tokens: 8283750400 | elapsed time per iteration (s): 0.76 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 2.274743E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.548 | TFLOPs: 46.23 | 7: iteration 15810/ 41007 | consumed samples: 4047360 | consumed tokens: 8288993280 | elapsed time per iteration (s): 0.76 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 2.258396E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.656 | TFLOPs: 46.11 | 7: iteration 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second: 324.980 | TFLOPs: 44.64 | 7: iteration 15850/ 41007 | consumed samples: 4057600 | consumed tokens: 8309964800 | elapsed time per iteration (s): 0.76 | learning rate: 1.430E-04 | global batch size: 256 | lm loss: 2.306038E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.833 | TFLOPs: 45.99 | 7: iteration 15860/ 41007 | consumed samples: 4060160 | consumed tokens: 8315207680 | elapsed time per iteration (s): 0.77 | learning rate: 1.430E-04 | global batch size: 256 | lm loss: 2.290612E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.023 | TFLOPs: 45.61 | 7: iteration 15870/ 41007 | consumed samples: 4062720 | consumed tokens: 8320450560 | elapsed time per iteration (s): 0.76 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 2.275234E+00 | grad norm: 0.185 | 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: 337.657 | TFLOPs: 46.38 | 7: iteration 15910/ 41007 | consumed samples: 4072960 | consumed tokens: 8341422080 | elapsed time per iteration (s): 0.76 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 2.303367E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.455 | TFLOPs: 46.08 | 7: iteration 15920/ 41007 | consumed samples: 4075520 | consumed tokens: 8346664960 | elapsed time per iteration (s): 0.75 | learning rate: 1.426E-04 | global batch size: 256 | lm loss: 2.257489E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.125 | TFLOPs: 46.72 | 7: iteration 15930/ 41007 | consumed samples: 4078080 | consumed tokens: 8351907840 | elapsed time per iteration (s): 0.76 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.283804E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.522 | TFLOPs: 46.22 | 7: iteration 15940/ 41007 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 0.75 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.289218E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.421 | TFLOPs: 46.90 | 7: iteration 15950/ 41007 | consumed samples: 4083200 | consumed tokens: 8362393600 | elapsed time per iteration (s): 0.78 | learning rate: 1.424E-04 | global batch size: 256 | lm loss: 2.301410E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.163 | TFLOPs: 45.21 | 7: iteration 15960/ 41007 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 0.78 | learning rate: 1.423E-04 | global batch size: 256 | lm loss: 2.278870E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.415 | TFLOPs: 45.11 | 7: iteration 15970/ 41007 | consumed samples: 4088320 | consumed tokens: 8372879360 | elapsed time per iteration (s): 0.77 | learning rate: 1.423E-04 | global batch size: 256 | lm loss: 2.295068E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.283 | TFLOPs: 45.78 | 7: iteration 15980/ 41007 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 0.77 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 2.315325E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.244 | TFLOPs: 45.64 | 7: iteration 15990/ 41007 | consumed samples: 4093440 | consumed tokens: 8383365120 | elapsed time per iteration (s): 0.77 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 2.305919E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.718 | TFLOPs: 45.84 | 0: [2022-11-28 16:24:19,099] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[0.0001420749778504772, 0.0001420749778504772, 0.0001420749778504772], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 16000/ 41007 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 0.77 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 2.293149E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.209 | TFLOPs: 45.49 | 0: steps: 16000 loss: 2.3946 iter time (s): 0.767 samples/sec: 333.879 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 16000 | lm loss value: 2.179567E+00 | lm loss PPL: 8.842480E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 16000 to checkpoints_619m22b 0: [2022-11-28 16:24:19,396] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step16000 is begin to save! 0: [2022-11-28 16:24:19,421] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step16000/layer_01-model_00-model_states.pt... 0: [2022-11-28 16:24:19,619] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step16000/layer_01-model_00-model_states.pt. 0: [2022-11-28 16:24:19,620] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step16000/layer_03-model_00-model_states.pt... 0: [2022-11-28 16:24:19,684] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step16000/layer_03-model_00-model_states.pt. 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[Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-28 16:24:21,042] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-28 16:24:21,042] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-28 16:24:21,042] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-28 16:24:21,042] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-28 16:24:21,042] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step16000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-28 16:24:21,042] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-28 16:24:21,042] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-28 16:24:21,042] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 0: successfully saved checkpoint at iteration 16000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1672.03 7: iteration 16010/ 41007 | consumed samples: 4098560 | consumed tokens: 8393850880 | elapsed time per iteration (s): 0.97 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 2.292041E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.266 | TFLOPs: 36.16 | 7: iteration 16020/ 41007 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 0.78 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 2.295467E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.771 | TFLOPs: 45.16 | 7: iteration 16030/ 41007 | consumed samples: 4103680 | consumed tokens: 8404336640 | elapsed time per iteration (s): 0.77 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 2.283110E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.714 | TFLOPs: 45.84 | 7: iteration 16040/ 41007 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 0.77 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 2.321114E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.468 | TFLOPs: 45.67 | 7: iteration 16050/ 41007 | consumed samples: 4108800 | consumed tokens: 8414822400 | elapsed time per iteration (s): 0.76 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 2.259319E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.458 | TFLOPs: 46.22 | 7: iteration 16060/ 41007 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 0.76 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 2.326020E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.787 | TFLOPs: 46.12 | 7: iteration 16070/ 41007 | consumed samples: 4113920 | consumed tokens: 8425308160 | elapsed time per iteration (s): 0.77 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 2.292062E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.412 | TFLOPs: 45.66 | 7: iteration 16080/ 41007 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 0.76 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 2.285793E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.536 | TFLOPs: 46.09 | 7: iteration 16090/ 41007 | consumed samples: 4119040 | consumed tokens: 8435793920 | elapsed time per iteration (s): 0.76 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 2.288726E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.679 | TFLOPs: 46.38 | 7: iteration 16100/ 41007 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 0.75 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 2.270428E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.623 | TFLOPs: 46.65 | 7: iteration 16110/ 41007 | consumed samples: 4124160 | consumed tokens: 8446279680 | elapsed time per iteration (s): 0.75 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 2.302337E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.960 | TFLOPs: 46.70 | 7: iteration 16120/ 41007 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 0.76 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 2.311696E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.014 | TFLOPs: 46.15 | 7: iteration 16130/ 41007 | consumed samples: 4129280 | consumed tokens: 8456765440 | elapsed time per iteration (s): 0.76 | learning rate: 1.412E-04 | global batch size: 256 | lm loss: 2.279967E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.901 | TFLOPs: 46.28 | 7: iteration 16140/ 41007 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 0.75 | learning rate: 1.412E-04 | global batch size: 256 | lm loss: 2.266640E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.433 | TFLOPs: 46.76 | 7: iteration 16150/ 41007 | consumed samples: 4134400 | consumed tokens: 8467251200 | elapsed time per iteration (s): 0.77 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 2.296541E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.959 | TFLOPs: 45.73 | 7: iteration 16160/ 41007 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 0.76 | learning rate: 1.410E-04 | global batch size: 256 | lm loss: 2.291236E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.446 | TFLOPs: 46.35 | 7: iteration 16170/ 41007 | consumed samples: 4139520 | consumed tokens: 8477736960 | elapsed time per iteration (s): 0.76 | learning rate: 1.410E-04 | global batch size: 256 | lm loss: 2.294453E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.354 | TFLOPs: 46.20 | 7: iteration 16180/ 41007 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 0.79 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 2.318865E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.453 | TFLOPs: 44.57 | 7: iteration 16190/ 41007 | consumed samples: 4144640 | consumed tokens: 8488222720 | elapsed time per iteration (s): 0.77 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.276273E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.716 | TFLOPs: 45.43 | 7: iteration 16200/ 41007 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 0.78 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.287757E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.521 | TFLOPs: 45.13 | 7: iteration 16210/ 41007 | consumed samples: 4149760 | consumed tokens: 8498708480 | elapsed time per iteration (s): 0.76 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 2.286186E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.634 | TFLOPs: 46.24 | 7: iteration 16220/ 41007 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 0.76 | learning rate: 1.406E-04 | global batch size: 256 | lm loss: 2.270593E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.117 | TFLOPs: 46.31 | 7: iteration 16230/ 41007 | consumed samples: 4154880 | consumed tokens: 8509194240 | elapsed time 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second: 336.034 | TFLOPs: 46.16 | 7: iteration 16320/ 41007 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 0.76 | learning rate: 1.400E-04 | global batch size: 256 | lm loss: 2.303300E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.928 | TFLOPs: 46.14 | 7: iteration 16330/ 41007 | consumed samples: 4180480 | consumed tokens: 8561623040 | elapsed time per iteration (s): 0.76 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.273746E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.957 | TFLOPs: 46.15 | 7: iteration 16340/ 41007 | consumed samples: 4183040 | consumed tokens: 8566865920 | elapsed time per iteration (s): 0.76 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.293966E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.177 | TFLOPs: 46.45 | 7: iteration 16350/ 41007 | consumed samples: 4185600 | consumed tokens: 8572108800 | elapsed time per iteration (s): 0.76 | learning rate: 1.398E-04 | global batch size: 256 | lm loss: 2.278844E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.543 | TFLOPs: 46.23 | 7: iteration 16360/ 41007 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 0.75 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 2.298244E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.394 | TFLOPs: 46.62 | 7: iteration 16370/ 41007 | consumed samples: 4190720 | consumed tokens: 8582594560 | elapsed time per iteration (s): 0.76 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 2.304234E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.922 | TFLOPs: 46.55 | 7: iteration 16380/ 41007 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 0.77 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 2.305187E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.124 | TFLOPs: 45.89 | 7: iteration 16390/ 41007 | consumed samples: 4195840 | consumed tokens: 8593080320 | elapsed time per iteration (s): 0.76 | learning rate: 1.395E-04 | global batch size: 256 | lm loss: 2.293233E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.025 | TFLOPs: 46.43 | 7: iteration 16400/ 41007 | consumed samples: 4198400 | consumed tokens: 8598323200 | elapsed time per iteration (s): 0.80 | learning rate: 1.395E-04 | global batch size: 256 | lm loss: 2.298725E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.712 | TFLOPs: 43.78 | 7: iteration 16410/ 41007 | consumed samples: 4200960 | consumed tokens: 8603566080 | elapsed time per iteration (s): 0.76 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 2.279557E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.072 | TFLOPs: 46.30 | 7: iteration 16420/ 41007 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 0.77 | learning rate: 1.393E-04 | global batch size: 256 | lm loss: 2.277702E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.903 | TFLOPs: 45.86 | 7: iteration 16430/ 41007 | consumed samples: 4206080 | consumed tokens: 8614051840 | elapsed time per iteration (s): 0.77 | learning rate: 1.393E-04 | global batch size: 256 | lm loss: 2.290469E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.376 | TFLOPs: 45.65 | 7: iteration 16440/ 41007 | consumed samples: 4208640 | consumed tokens: 8619294720 | elapsed time per iteration (s): 0.75 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 2.280700E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.808 | TFLOPs: 46.95 | 7: iteration 16450/ 41007 | consumed samples: 4211200 | consumed tokens: 8624537600 | elapsed time per iteration (s): 0.76 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 2.271051E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.005 | TFLOPs: 46.02 | 7: iteration 16460/ 41007 | consumed samples: 4213760 | consumed tokens: 8629780480 | elapsed time per iteration (s): 0.76 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 2.275609E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.371 | TFLOPs: 46.48 | 7: iteration 16470/ 41007 | consumed samples: 4216320 | consumed tokens: 8635023360 | elapsed time per iteration (s): 0.75 | learning rate: 1.390E-04 | global batch size: 256 | lm loss: 2.289613E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.560 | TFLOPs: 46.64 | 7: iteration 16480/ 41007 | consumed samples: 4218880 | consumed tokens: 8640266240 | elapsed time per iteration (s): 0.75 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 2.307119E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.874 | TFLOPs: 46.68 | 7: iteration 16490/ 41007 | consumed samples: 4221440 | consumed tokens: 8645509120 | elapsed time per iteration (s): 0.78 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 2.272706E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.191 | TFLOPs: 45.35 | 7: iteration 16500/ 41007 | consumed samples: 4224000 | consumed tokens: 8650752000 | elapsed time per iteration (s): 0.77 | learning rate: 1.388E-04 | global batch size: 256 | lm loss: 2.298059E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.637 | TFLOPs: 45.97 | 7: iteration 16510/ 41007 | consumed samples: 4226560 | consumed tokens: 8655994880 | elapsed time per iteration (s): 0.78 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 2.277208E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.918 | TFLOPs: 45.32 | 7: iteration 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second: 336.605 | TFLOPs: 46.24 | 7: iteration 16550/ 41007 | consumed samples: 4236800 | consumed tokens: 8676966400 | elapsed time per iteration (s): 0.78 | learning rate: 1.385E-04 | global batch size: 256 | lm loss: 2.298383E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.267 | TFLOPs: 45.09 | 7: iteration 16560/ 41007 | consumed samples: 4239360 | consumed tokens: 8682209280 | elapsed time per iteration (s): 0.77 | learning rate: 1.384E-04 | global batch size: 256 | lm loss: 2.258601E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.841 | TFLOPs: 45.72 | 7: iteration 16570/ 41007 | consumed samples: 4241920 | consumed tokens: 8687452160 | elapsed time per iteration (s): 0.77 | learning rate: 1.383E-04 | global batch size: 256 | lm loss: 2.263736E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.626 | TFLOPs: 45.96 | 7: iteration 16580/ 41007 | consumed samples: 4244480 | consumed tokens: 8692695040 | elapsed time per iteration (s): 0.76 | learning rate: 1.383E-04 | global batch size: 256 | lm loss: 2.299725E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.062 | TFLOPs: 46.16 | 7: iteration 16590/ 41007 | consumed samples: 4247040 | consumed tokens: 8697937920 | elapsed time per iteration (s): 0.78 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.301722E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.642 | TFLOPs: 44.87 | 7: iteration 16600/ 41007 | consumed samples: 4249600 | consumed tokens: 8703180800 | elapsed time per iteration (s): 0.77 | learning rate: 1.381E-04 | global batch size: 256 | lm loss: 2.249156E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.179 | TFLOPs: 45.76 | 7: iteration 16610/ 41007 | consumed samples: 4252160 | consumed tokens: 8708423680 | elapsed time per iteration (s): 0.78 | learning rate: 1.381E-04 | global batch size: 256 | lm loss: 2.305779E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.084 | TFLOPs: 45.20 | 7: iteration 16620/ 41007 | consumed samples: 4254720 | consumed tokens: 8713666560 | elapsed time per iteration (s): 0.76 | learning rate: 1.380E-04 | global batch size: 256 | lm loss: 2.285880E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.004 | TFLOPs: 46.29 | 7: iteration 16630/ 41007 | consumed samples: 4257280 | consumed tokens: 8718909440 | elapsed time per iteration (s): 0.76 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.289238E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.034 | TFLOPs: 46.57 | 7: iteration 16640/ 41007 | consumed samples: 4259840 | consumed tokens: 8724152320 | elapsed time per iteration (s): 0.77 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.280305E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.017 | TFLOPs: 45.88 | 7: iteration 16650/ 41007 | consumed samples: 4262400 | consumed tokens: 8729395200 | elapsed time per iteration (s): 0.76 | learning rate: 1.378E-04 | global batch size: 256 | lm loss: 2.269076E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.722 | TFLOPs: 46.39 | 7: iteration 16660/ 41007 | consumed samples: 4264960 | consumed tokens: 8734638080 | elapsed time per iteration (s): 0.76 | learning rate: 1.377E-04 | global batch size: 256 | lm loss: 2.278850E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.803 | TFLOPs: 46.13 | 7: iteration 16670/ 41007 | consumed samples: 4267520 | consumed tokens: 8739880960 | elapsed time per iteration (s): 0.77 | learning rate: 1.377E-04 | global batch size: 256 | lm loss: 2.261783E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.563 | TFLOPs: 45.82 | 7: iteration 16680/ 41007 | consumed samples: 4270080 | consumed tokens: 8745123840 | elapsed time per iteration (s): 0.75 | learning rate: 1.376E-04 | global batch size: 256 | lm loss: 2.287412E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.706 | TFLOPs: 46.66 | 7: iteration 16690/ 41007 | consumed samples: 4272640 | consumed tokens: 8750366720 | elapsed time per iteration (s): 0.76 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 2.256622E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.372 | TFLOPs: 46.20 | 7: iteration 16700/ 41007 | consumed samples: 4275200 | consumed tokens: 8755609600 | elapsed time per iteration (s): 0.76 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 2.292432E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.816 | TFLOPs: 46.26 | 7: iteration 16710/ 41007 | consumed samples: 4277760 | consumed tokens: 8760852480 | elapsed time per iteration (s): 0.75 | learning rate: 1.374E-04 | global batch size: 256 | lm loss: 2.286535E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.661 | TFLOPs: 46.79 | 7: iteration 16720/ 41007 | consumed samples: 4280320 | consumed tokens: 8766095360 | elapsed time per iteration (s): 0.76 | learning rate: 1.373E-04 | global batch size: 256 | lm loss: 2.233162E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.089 | TFLOPs: 46.16 | 7: iteration 16730/ 41007 | consumed samples: 4282880 | consumed tokens: 8771338240 | elapsed time per iteration (s): 0.75 | learning rate: 1.373E-04 | global batch size: 256 | lm loss: 2.312658E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.335 | TFLOPs: 46.75 | 7: iteration 16740/ 41007 | consumed samples: 4285440 | consumed tokens: 8776581120 | elapsed time per iteration (s): 0.75 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 2.284032E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.861 | TFLOPs: 46.68 | 7: iteration 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second: 335.861 | TFLOPs: 46.13 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 17000 | lm loss value: 2.266519E+00 | lm loss PPL: 9.645764E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 17000 to checkpoints_619m22b 0: [2022-11-28 16:37:06,230] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step17000 is begin to save! 0: [2022-11-28 16:37:06,234] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step17000/layer_01-model_00-model_states.pt... 0: [2022-11-28 16:37:06,404] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step17000/layer_01-model_00-model_states.pt. 0: [2022-11-28 16:37:06,404] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step17000/layer_03-model_00-model_states.pt... 0: 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-28 16:37:07,719] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-28 16:37:07,719] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-28 16:37:07,719] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-28 16:37:07,719] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-28 16:37:07,719] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-28 16:37:07,723] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-28 16:37:07,723] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 5: [2022-11-28 16:37:07,723] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-28 16:37:07,723] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-28 16:37:07,723] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 0: [2022-11-28 16:37:07,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step17000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 16:37:07,753] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 0: successfully saved checkpoint at iteration 17000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1548.08 7: iteration 17010/ 41007 | consumed samples: 4354560 | consumed tokens: 8918138880 | elapsed time per iteration (s): 0.94 | learning rate: 1.354E-04 | global batch size: 256 | lm loss: 2.283925E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.693 | TFLOPs: 37.32 | 7: iteration 17020/ 41007 | consumed samples: 4357120 | consumed tokens: 8923381760 | elapsed time per iteration (s): 0.76 | learning rate: 1.353E-04 | global batch size: 256 | lm loss: 2.296162E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.200 | TFLOPs: 46.18 | 7: iteration 17030/ 41007 | consumed samples: 4359680 | consumed tokens: 8928624640 | elapsed time per iteration (s): 0.75 | learning rate: 1.353E-04 | global batch size: 256 | lm loss: 2.291883E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.132 | TFLOPs: 46.86 | 7: iteration 17040/ 41007 | consumed samples: 4362240 | consumed tokens: 8933867520 | elapsed time per iteration (s): 0.75 | learning rate: 1.352E-04 | global batch size: 256 | lm loss: 2.291041E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.752 | TFLOPs: 46.81 | 7: iteration 17050/ 41007 | consumed samples: 4364800 | consumed tokens: 8939110400 | elapsed time per iteration (s): 0.79 | learning rate: 1.351E-04 | global batch size: 256 | lm loss: 2.296982E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.337 | TFLOPs: 44.69 | 7: iteration 17060/ 41007 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 0.77 | learning rate: 1.351E-04 | global batch size: 256 | lm loss: 2.225775E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.437 | TFLOPs: 45.94 | 7: iteration 17070/ 41007 | consumed samples: 4369920 | consumed tokens: 8949596160 | elapsed time per iteration (s): 0.76 | learning rate: 1.350E-04 | global batch size: 256 | lm loss: 2.279121E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.380 | TFLOPs: 46.48 | 7: iteration 17080/ 41007 | consumed samples: 4372480 | consumed tokens: 8954839040 | elapsed time per iteration (s): 0.76 | learning rate: 1.349E-04 | global batch size: 256 | lm loss: 2.282382E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.366 | TFLOPs: 46.20 | 7: iteration 17090/ 41007 | consumed samples: 4375040 | consumed tokens: 8960081920 | elapsed time per iteration (s): 0.76 | learning rate: 1.349E-04 | global batch size: 256 | lm loss: 2.278460E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.372 | TFLOPs: 46.07 | 7: iteration 17100/ 41007 | consumed samples: 4377600 | consumed tokens: 8965324800 | elapsed time per iteration (s): 0.76 | learning rate: 1.348E-04 | global batch size: 256 | lm loss: 2.274774E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.490 | TFLOPs: 46.08 | 7: iteration 17110/ 41007 | consumed samples: 4380160 | consumed tokens: 8970567680 | elapsed time per iteration (s): 0.75 | learning rate: 1.347E-04 | global batch size: 256 | lm loss: 2.264956E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.628 | TFLOPs: 46.65 | 7: iteration 17120/ 41007 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 0.76 | learning rate: 1.347E-04 | global batch size: 256 | lm loss: 2.309094E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.515 | TFLOPs: 46.36 | 7: iteration 17130/ 41007 | consumed samples: 4385280 | consumed tokens: 8981053440 | elapsed time per iteration (s): 0.76 | learning rate: 1.346E-04 | global batch size: 256 | lm loss: 2.257432E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.565 | TFLOPs: 46.09 | 7: iteration 17140/ 41007 | consumed samples: 4387840 | consumed tokens: 8986296320 | elapsed time per iteration (s): 0.77 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 2.271462E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.317 | TFLOPs: 45.65 | 7: iteration 17150/ 41007 | consumed samples: 4390400 | consumed tokens: 8991539200 | elapsed time per iteration (s): 0.76 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 2.274944E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.148 | TFLOPs: 46.45 | 7: iteration 17160/ 41007 | consumed samples: 4392960 | consumed tokens: 8996782080 | elapsed time per iteration (s): 0.76 | learning rate: 1.344E-04 | global batch size: 256 | lm loss: 2.267939E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.494 | TFLOPs: 46.49 | 7: iteration 17170/ 41007 | consumed samples: 4395520 | consumed tokens: 9002024960 | elapsed time per iteration (s): 0.77 | learning rate: 1.343E-04 | global batch size: 256 | lm loss: 2.291824E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.361 | TFLOPs: 45.93 | 7: iteration 17180/ 41007 | consumed samples: 4398080 | consumed tokens: 9007267840 | elapsed time per iteration (s): 0.76 | learning rate: 1.343E-04 | global batch size: 256 | lm loss: 2.266307E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.369 | TFLOPs: 46.20 | 7: iteration 17190/ 41007 | consumed samples: 4400640 | consumed tokens: 9012510720 | elapsed time per iteration (s): 0.76 | learning rate: 1.342E-04 | global batch size: 256 | lm loss: 2.293189E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.380 | TFLOPs: 46.48 | 7: iteration 17200/ 41007 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 0.78 | learning rate: 1.341E-04 | global batch size: 256 | lm loss: 2.235620E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.350 | TFLOPs: 45.10 | 7: iteration 17210/ 41007 | consumed samples: 4405760 | consumed tokens: 9022996480 | elapsed time per iteration (s): 0.76 | learning rate: 1.341E-04 | global batch size: 256 | lm loss: 2.254609E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.785 | TFLOPs: 45.99 | 7: iteration 17220/ 41007 | consumed samples: 4408320 | consumed tokens: 9028239360 | elapsed time per iteration (s): 0.76 | learning rate: 1.340E-04 | global batch size: 256 | lm loss: 2.252520E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.702 | TFLOPs: 45.97 | 7: iteration 17230/ 41007 | consumed samples: 4410880 | consumed tokens: 9033482240 | elapsed time per iteration (s): 0.76 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 2.295707E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.497 | TFLOPs: 46.36 | 7: iteration 17240/ 41007 | consumed samples: 4413440 | consumed tokens: 9038725120 | elapsed time per iteration (s): 0.76 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 2.294969E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.031 | TFLOPs: 46.16 | 7: iteration 17250/ 41007 | consumed samples: 4416000 | consumed tokens: 9043968000 | elapsed time per iteration (s): 0.76 | learning rate: 1.338E-04 | global batch size: 256 | lm loss: 2.263046E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.727 | TFLOPs: 46.39 | 7: iteration 17260/ 41007 | consumed samples: 4418560 | consumed tokens: 9049210880 | elapsed time per iteration (s): 0.77 | learning rate: 1.337E-04 | global batch size: 256 | lm loss: 2.272929E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.902 | TFLOPs: 45.45 | 7: iteration 17270/ 41007 | consumed samples: 4421120 | consumed tokens: 9054453760 | elapsed time per iteration (s): 0.75 | learning rate: 1.337E-04 | global batch size: 256 | lm loss: 2.294189E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.760 | TFLOPs: 46.67 | 7: iteration 17280/ 41007 | consumed samples: 4423680 | consumed tokens: 9059696640 | elapsed time per iteration (s): 0.77 | learning rate: 1.336E-04 | global batch size: 256 | lm loss: 2.275815E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.256 | TFLOPs: 45.50 | 7: iteration 17290/ 41007 | consumed samples: 4426240 | consumed tokens: 9064939520 | elapsed time per iteration (s): 0.78 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 2.281167E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.406 | TFLOPs: 45.11 | 7: iteration 17300/ 41007 | consumed samples: 4428800 | consumed tokens: 9070182400 | elapsed time per iteration (s): 0.78 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 2.283569E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.102 | TFLOPs: 45.20 | 7: iteration 17310/ 41007 | consumed samples: 4431360 | consumed tokens: 9075425280 | elapsed time per iteration (s): 0.77 | learning rate: 1.334E-04 | global batch size: 256 | lm loss: 2.253527E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.842 | TFLOPs: 45.72 | 7: iteration 17320/ 41007 | consumed samples: 4433920 | consumed tokens: 9080668160 | elapsed time per iteration (s): 0.77 | learning rate: 1.333E-04 | global batch size: 256 | lm loss: 2.263164E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.184 | TFLOPs: 45.90 | 7: iteration 17330/ 41007 | consumed samples: 4436480 | consumed tokens: 9085911040 | elapsed time per iteration (s): 0.77 | learning rate: 1.333E-04 | global batch size: 256 | lm loss: 2.285981E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.553 | TFLOPs: 45.54 | 7: iteration 17340/ 41007 | consumed samples: 4439040 | consumed tokens: 9091153920 | elapsed time per iteration (s): 0.77 | learning rate: 1.332E-04 | global batch size: 256 | lm loss: 2.261695E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.539 | TFLOPs: 45.81 | 7: iteration 17350/ 41007 | consumed samples: 4441600 | consumed tokens: 9096396800 | elapsed time per iteration (s): 0.79 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 2.253260E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.079 | TFLOPs: 44.65 | 7: iteration 17360/ 41007 | consumed samples: 4444160 | consumed tokens: 9101639680 | elapsed time per iteration (s): 0.78 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 2.245456E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.767 | TFLOPs: 45.02 | 7: iteration 17370/ 41007 | consumed samples: 4446720 | consumed tokens: 9106882560 | elapsed time per iteration (s): 0.78 | learning rate: 1.330E-04 | global batch size: 256 | lm loss: 2.250723E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.845 | TFLOPs: 45.03 | 7: iteration 17380/ 41007 | consumed samples: 4449280 | consumed tokens: 9112125440 | elapsed time per iteration (s): 0.76 | learning rate: 1.329E-04 | global batch size: 256 | lm loss: 2.281770E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.646 | TFLOPs: 46.10 | 7: iteration 17390/ 41007 | consumed samples: 4451840 | consumed tokens: 9117368320 | elapsed time per iteration (s): 0.75 | learning rate: 1.329E-04 | global batch size: 256 | lm loss: 2.301007E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.513 | TFLOPs: 46.77 | 7: iteration 17400/ 41007 | consumed samples: 4454400 | consumed tokens: 9122611200 | elapsed time per iteration (s): 0.77 | learning rate: 1.328E-04 | global batch size: 256 | lm loss: 2.278160E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.147 | TFLOPs: 45.76 | 7: iteration 17410/ 41007 | consumed samples: 4456960 | consumed tokens: 9127854080 | elapsed time per iteration (s): 0.77 | learning rate: 1.327E-04 | global batch size: 256 | lm loss: 2.267415E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.241 | TFLOPs: 45.50 | 7: iteration 17420/ 41007 | consumed samples: 4459520 | consumed tokens: 9133096960 | elapsed time per iteration (s): 0.77 | learning rate: 1.327E-04 | global batch size: 256 | lm loss: 2.269660E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.892 | TFLOPs: 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| samples per second: 331.507 | TFLOPs: 45.54 | 7: iteration 17460/ 41007 | consumed samples: 4469760 | consumed tokens: 9154068480 | elapsed time per iteration (s): 0.75 | learning rate: 1.324E-04 | global batch size: 256 | lm loss: 2.289151E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.621 | TFLOPs: 46.92 | 7: iteration 17470/ 41007 | consumed samples: 4472320 | consumed tokens: 9159311360 | elapsed time per iteration (s): 0.76 | learning rate: 1.323E-04 | global batch size: 256 | lm loss: 2.240306E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.991 | TFLOPs: 46.43 | 7: iteration 17480/ 41007 | consumed samples: 4474880 | consumed tokens: 9164554240 | elapsed time per iteration (s): 0.76 | learning rate: 1.323E-04 | global batch size: 256 | lm loss: 2.274133E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.706 | TFLOPs: 46.52 | 7: iteration 17490/ 41007 | consumed samples: 4477440 | consumed tokens: 9169797120 | elapsed time per iteration (s): 0.76 | learning rate: 1.322E-04 | global batch size: 256 | lm loss: 2.295114E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.332 | TFLOPs: 46.34 | 7: iteration 17500/ 41007 | consumed samples: 4480000 | consumed tokens: 9175040000 | elapsed time per iteration (s): 0.76 | learning rate: 1.321E-04 | global batch size: 256 | lm loss: 2.249503E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.669 | TFLOPs: 46.24 | 7: iteration 17510/ 41007 | consumed samples: 4482560 | consumed tokens: 9180282880 | elapsed time per iteration (s): 0.78 | learning rate: 1.321E-04 | global batch size: 256 | lm loss: 2.251508E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.706 | TFLOPs: 45.29 | 7: iteration 17520/ 41007 | consumed samples: 4485120 | consumed tokens: 9185525760 | elapsed time per iteration (s): 0.75 | learning rate: 1.320E-04 | global batch size: 256 | lm loss: 2.273389E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.402 | TFLOPs: 46.62 | 7: iteration 17530/ 41007 | consumed samples: 4487680 | consumed tokens: 9190768640 | elapsed time per iteration (s): 0.77 | learning rate: 1.319E-04 | global batch size: 256 | lm loss: 2.303158E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.502 | TFLOPs: 45.53 | 7: iteration 17540/ 41007 | consumed samples: 4490240 | consumed tokens: 9196011520 | elapsed time per iteration (s): 0.76 | learning rate: 1.319E-04 | global batch size: 256 | lm loss: 2.305695E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.998 | TFLOPs: 46.56 | 7: iteration 17550/ 41007 | consumed samples: 4492800 | consumed tokens: 9201254400 | elapsed time per iteration (s): 0.76 | learning rate: 1.318E-04 | global batch size: 256 | lm loss: 2.280373E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.006 | TFLOPs: 46.57 | 7: iteration 17560/ 41007 | consumed samples: 4495360 | consumed tokens: 9206497280 | elapsed time per iteration (s): 0.76 | learning rate: 1.317E-04 | global batch size: 256 | lm loss: 2.257047E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.108 | TFLOPs: 46.17 | 7: iteration 17570/ 41007 | consumed samples: 4497920 | consumed tokens: 9211740160 | elapsed time per iteration (s): 0.77 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 2.258350E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.090 | TFLOPs: 45.62 | 7: iteration 17580/ 41007 | consumed samples: 4500480 | consumed tokens: 9216983040 | elapsed time per iteration (s): 0.77 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 2.285369E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.233 | TFLOPs: 45.91 | 7: iteration 17590/ 41007 | consumed samples: 4503040 | consumed tokens: 9222225920 | elapsed time per iteration (s): 0.75 | learning rate: 1.315E-04 | global batch size: 256 | lm loss: 2.254097E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.189 | TFLOPs: 46.73 | 7: iteration 17600/ 41007 | consumed samples: 4505600 | consumed tokens: 9227468800 | elapsed time per iteration (s): 0.76 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 2.290219E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.506 | TFLOPs: 46.22 | 7: iteration 17610/ 41007 | consumed samples: 4508160 | consumed tokens: 9232711680 | elapsed time per iteration (s): 0.76 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 2.274949E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.057 | TFLOPs: 46.30 | 7: iteration 17620/ 41007 | consumed samples: 4510720 | consumed tokens: 9237954560 | elapsed time per iteration (s): 0.75 | learning rate: 1.313E-04 | global batch size: 256 | lm loss: 2.285382E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.283 | TFLOPs: 46.88 | 7: iteration 17630/ 41007 | consumed 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| samples per second: 337.701 | TFLOPs: 46.39 | 7: iteration 17690/ 41007 | consumed samples: 4528640 | consumed tokens: 9274654720 | elapsed time per iteration (s): 0.77 | learning rate: 1.308E-04 | global batch size: 256 | lm loss: 2.299218E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.619 | TFLOPs: 45.83 | 7: iteration 17700/ 41007 | consumed samples: 4531200 | consumed tokens: 9279897600 | elapsed time per iteration (s): 0.76 | learning rate: 1.308E-04 | global batch size: 256 | lm loss: 2.275466E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.196 | TFLOPs: 46.32 | 7: iteration 17710/ 41007 | consumed samples: 4533760 | consumed tokens: 9285140480 | elapsed time per iteration (s): 0.75 | learning rate: 1.307E-04 | global batch size: 256 | lm loss: 2.267843E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped 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0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.245 | TFLOPs: 46.05 | 7: iteration 17750/ 41007 | consumed samples: 4544000 | consumed tokens: 9306112000 | elapsed time per iteration (s): 0.76 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 2.292106E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.017 | TFLOPs: 46.43 | 7: iteration 17760/ 41007 | consumed samples: 4546560 | consumed tokens: 9311354880 | elapsed time per iteration (s): 0.76 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 2.292823E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.270 | TFLOPs: 46.33 | 7: iteration 17770/ 41007 | consumed samples: 4549120 | consumed tokens: 9316597760 | elapsed time per iteration (s): 0.75 | learning rate: 1.303E-04 | global batch size: 256 | lm loss: 2.285439E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.086 | TFLOPs: 46.58 | 7: iteration 17780/ 41007 | consumed samples: 4551680 | consumed tokens: 9321840640 | elapsed time per iteration (s): 0.77 | learning rate: 1.302E-04 | global batch size: 256 | lm loss: 2.284818E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.416 | TFLOPs: 45.66 | 7: iteration 17790/ 41007 | consumed samples: 4554240 | consumed tokens: 9327083520 | elapsed time per iteration (s): 0.76 | learning rate: 1.302E-04 | global batch size: 256 | lm loss: 2.247411E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.339 | TFLOPs: 46.06 | 7: iteration 17800/ 41007 | consumed samples: 4556800 | consumed tokens: 9332326400 | elapsed time per iteration (s): 0.76 | learning rate: 1.301E-04 | global batch size: 256 | lm loss: 2.281106E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.326 | TFLOPs: 46.47 | 7: iteration 17810/ 41007 | consumed samples: 4559360 | consumed tokens: 9337569280 | elapsed time per iteration (s): 0.78 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 2.278035E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.056 | TFLOPs: 45.20 | 7: iteration 17820/ 41007 | consumed samples: 4561920 | consumed tokens: 9342812160 | elapsed time per iteration (s): 0.76 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 2.270464E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.145 | TFLOPs: 46.31 | 7: iteration 17830/ 41007 | consumed samples: 4564480 | consumed tokens: 9348055040 | elapsed time per iteration (s): 0.76 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 2.282212E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.888 | TFLOPs: 46.55 | 7: iteration 17840/ 41007 | consumed samples: 4567040 | consumed tokens: 9353297920 | elapsed time per iteration (s): 0.78 | learning rate: 1.298E-04 | global batch size: 256 | lm loss: 2.264738E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.165 | TFLOPs: 45.35 | 7: iteration 17850/ 41007 | consumed samples: 4569600 | consumed tokens: 9358540800 | elapsed time per iteration (s): 0.77 | learning rate: 1.297E-04 | global batch size: 256 | lm loss: 2.265186E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.691 | TFLOPs: 45.56 | 7: iteration 17860/ 41007 | consumed 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| samples per second: 335.281 | TFLOPs: 46.05 | 7: iteration 17920/ 41007 | consumed samples: 4587520 | consumed tokens: 9395240960 | elapsed time per iteration (s): 0.75 | learning rate: 1.293E-04 | global batch size: 256 | lm loss: 2.263835E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.262 | TFLOPs: 46.60 | 7: iteration 17930/ 41007 | consumed samples: 4590080 | consumed tokens: 9400483840 | elapsed time per iteration (s): 0.76 | learning rate: 1.292E-04 | global batch size: 256 | lm loss: 2.283625E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.559 | TFLOPs: 46.50 | 7: iteration 17940/ 41007 | consumed samples: 4592640 | consumed tokens: 9405726720 | elapsed time per iteration (s): 0.76 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.269898E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.622 | TFLOPs: 46.24 | 7: iteration 17950/ 41007 | consumed samples: 4595200 | consumed tokens: 9410969600 | elapsed time per iteration (s): 0.76 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.278785E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.407 | TFLOPs: 46.07 | 7: iteration 17960/ 41007 | consumed samples: 4597760 | consumed tokens: 9416212480 | elapsed time per iteration (s): 0.76 | learning rate: 1.290E-04 | global batch size: 256 | lm loss: 2.254531E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.689 | TFLOPs: 45.97 | 7: iteration 17970/ 41007 | consumed samples: 4600320 | consumed tokens: 9421455360 | elapsed time per iteration (s): 0.77 | learning rate: 1.289E-04 | global batch size: 256 | lm loss: 2.262101E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.112 | TFLOPs: 45.76 | 7: iteration 17980/ 41007 | consumed samples: 4602880 | consumed tokens: 9426698240 | elapsed time per iteration (s): 0.79 | learning rate: 1.289E-04 | global batch size: 256 | lm loss: 2.283867E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.371 | TFLOPs: 44.69 | 7: iteration 17990/ 41007 | consumed samples: 4605440 | consumed tokens: 9431941120 | elapsed time per iteration (s): 0.76 | learning rate: 1.288E-04 | global batch size: 256 | lm loss: 2.268822E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.602 | TFLOPs: 46.24 | 0: [2022-11-28 16:49:51,994] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[0.00012872914551948392, 0.00012872914551948392, 0.00012872914551948392], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 18000/ 41007 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 0.75 | learning rate: 1.287E-04 | global batch size: 256 | lm loss: 2.271014E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.450 | TFLOPs: 46.63 | 0: steps: 18000 loss: 2.2342 iter time (s): 0.763 samples/sec: 335.608 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 18000 | lm loss value: 2.120334E+00 | lm loss PPL: 8.333918E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 18000 to checkpoints_619m22b 0: [2022-11-28 16:49:52,259] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step18000 is begin to save! 0: [2022-11-28 16:49:52,262] [INFO] 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lm loss: 2.287757E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.105 | TFLOPs: 37.93 | 7: iteration 18020/ 41007 | consumed samples: 4613120 | consumed tokens: 9447669760 | elapsed time per iteration (s): 0.77 | learning rate: 1.286E-04 | global batch size: 256 | lm loss: 2.278349E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.878 | TFLOPs: 45.59 | 7: iteration 18030/ 41007 | consumed samples: 4615680 | consumed tokens: 9452912640 | elapsed time per iteration (s): 0.77 | learning rate: 1.285E-04 | global batch size: 256 | lm loss: 2.247601E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.227 | TFLOPs: 45.50 | 7: iteration 18040/ 41007 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 0.76 | learning rate: 1.285E-04 | global batch size: 256 | lm loss: 2.270778E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.604 | TFLOPs: 46.37 | 7: iteration 18050/ 41007 | consumed samples: 4620800 | consumed tokens: 9463398400 | elapsed time per iteration (s): 0.98 | learning rate: 1.284E-04 | global batch size: 256 | lm loss: 2.268106E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 261.489 | TFLOPs: 35.92 | 7: iteration 18060/ 41007 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 0.81 | learning rate: 1.283E-04 | global batch size: 256 | lm loss: 2.244977E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.213 | TFLOPs: 43.43 | 7: iteration 18070/ 41007 | consumed samples: 4625920 | consumed tokens: 9473884160 | elapsed time per iteration (s): 0.76 | learning rate: 1.283E-04 | global batch size: 256 | lm loss: 2.279627E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.980 | TFLOPs: 46.01 | 7: iteration 18080/ 41007 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 0.76 | learning rate: 1.282E-04 | global batch size: 256 | lm loss: 2.252351E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.974 | TFLOPs: 46.42 | 7: iteration 18090/ 41007 | consumed samples: 4631040 | consumed tokens: 9484369920 | elapsed time per iteration (s): 0.77 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 2.279341E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.803 | TFLOPs: 45.85 | 7: iteration 18100/ 41007 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 0.75 | learning rate: 1.280E-04 | global batch size: 256 | lm loss: 2.263949E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.221 | TFLOPs: 46.73 | 7: iteration 18110/ 41007 | consumed samples: 4636160 | consumed tokens: 9494855680 | elapsed time per iteration (s): 0.75 | learning rate: 1.280E-04 | global batch size: 256 | lm loss: 2.294650E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.002 | TFLOPs: 46.98 | 7: iteration 18120/ 41007 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 0.76 | learning rate: 1.279E-04 | global batch size: 256 | lm loss: 2.294518E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.480 | TFLOPs: 46.49 | 7: iteration 18130/ 41007 | consumed samples: 4641280 | consumed tokens: 9505341440 | elapsed time per iteration (s): 0.75 | learning rate: 1.278E-04 | global batch size: 256 | lm loss: 2.281931E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.911 | TFLOPs: 47.10 | 7: iteration 18140/ 41007 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 0.79 | learning rate: 1.278E-04 | global batch size: 256 | lm loss: 2.250214E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.230 | TFLOPs: 44.67 | 7: iteration 18150/ 41007 | consumed samples: 4646400 | consumed tokens: 9515827200 | elapsed time per iteration (s): 0.76 | learning rate: 1.277E-04 | global batch size: 256 | lm loss: 2.239731E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.674 | TFLOPs: 46.52 | 7: iteration 18160/ 41007 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 0.77 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.225152E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.726 | TFLOPs: 45.57 | 7: iteration 18170/ 41007 | consumed samples: 4651520 | consumed tokens: 9526312960 | elapsed time per iteration (s): 0.78 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.246456E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.027 | TFLOPs: 45.06 | 7: iteration 18180/ 41007 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 0.76 | learning rate: 1.275E-04 | global batch size: 256 | lm loss: 2.254671E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.718 | TFLOPs: 46.53 | 7: iteration 18190/ 41007 | consumed samples: 4656640 | consumed tokens: 9536798720 | elapsed time per iteration (s): 0.75 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 2.251501E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.845 | TFLOPs: 46.82 | 7: iteration 18200/ 41007 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 0.77 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 2.282925E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.294 | TFLOPs: 45.92 | 7: iteration 18210/ 41007 | consumed samples: 4661760 | consumed tokens: 9547284480 | elapsed time per iteration (s): 0.76 | learning rate: 1.273E-04 | global batch size: 256 | lm loss: 2.230173E+00 | grad norm: 0.170 | num zeros: 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2.242223E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.120 | TFLOPs: 45.76 | 7: iteration 18250/ 41007 | consumed samples: 4672000 | consumed tokens: 9568256000 | elapsed time per iteration (s): 0.77 | learning rate: 1.270E-04 | global batch size: 256 | lm loss: 2.264032E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.153 | TFLOPs: 45.62 | 7: iteration 18260/ 41007 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 0.75 | learning rate: 1.270E-04 | global batch size: 256 | lm loss: 2.230521E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.136 | TFLOPs: 46.58 | 7: iteration 18270/ 41007 | consumed samples: 4677120 | consumed tokens: 9578741760 | elapsed time per iteration (s): 0.78 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 2.249181E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.009 | TFLOPs: 45.33 | 7: iteration 18280/ 41007 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 0.76 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 2.278206E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.438 | TFLOPs: 46.35 | 7: iteration 18290/ 41007 | consumed samples: 4682240 | consumed tokens: 9589227520 | elapsed time per iteration (s): 0.77 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.261889E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.753 | TFLOPs: 45.71 | 7: iteration 18300/ 41007 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 0.76 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.283278E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.590 | TFLOPs: 46.37 | 7: iteration 18310/ 41007 | consumed samples: 4687360 | consumed tokens: 9599713280 | elapsed time per iteration (s): 0.77 | learning rate: 1.266E-04 | global batch size: 256 | lm loss: 2.294843E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.214 | TFLOPs: 45.91 | 7: iteration 18320/ 41007 | consumed samples: 4689920 | consumed tokens: 9604956160 | elapsed time per iteration (s): 0.76 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 2.245226E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.670 | TFLOPs: 46.11 | 7: iteration 18330/ 41007 | consumed samples: 4692480 | consumed tokens: 9610199040 | elapsed time per iteration (s): 0.76 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 2.265398E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.266 | TFLOPs: 46.19 | 7: iteration 18340/ 41007 | consumed samples: 4695040 | consumed tokens: 9615441920 | elapsed time per iteration (s): 0.76 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 2.268630E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.684 | TFLOPs: 46.11 | 7: iteration 18350/ 41007 | consumed samples: 4697600 | consumed tokens: 9620684800 | elapsed time per iteration (s): 0.78 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 2.273362E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.944 | TFLOPs: 45.32 | 7: iteration 18360/ 41007 | consumed samples: 4700160 | consumed tokens: 9625927680 | elapsed time per iteration (s): 0.76 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 2.237970E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.456 | TFLOPs: 46.22 | 7: iteration 18370/ 41007 | consumed samples: 4702720 | consumed tokens: 9631170560 | elapsed time per iteration (s): 0.79 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 2.298133E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.269 | TFLOPs: 44.68 | 7: iteration 18380/ 41007 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 0.77 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.267052E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.587 | TFLOPs: 45.96 | 7: iteration 18390/ 41007 | consumed samples: 4707840 | consumed tokens: 9641656320 | elapsed time per iteration (s): 0.78 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.286002E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.936 | TFLOPs: 45.04 | 7: iteration 18400/ 41007 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 0.78 | learning rate: 1.260E-04 | global batch size: 256 | lm loss: 2.256818E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.654 | TFLOPs: 45.14 | 7: iteration 18410/ 41007 | consumed samples: 4712960 | consumed tokens: 9652142080 | elapsed time per iteration (s): 0.76 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 2.234492E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.184 | TFLOPs: 46.18 | 7: iteration 18420/ 41007 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 0.76 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 2.260218E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.581 | TFLOPs: 46.09 | 7: iteration 18430/ 41007 | consumed samples: 4718080 | consumed tokens: 9662627840 | elapsed time per iteration (s): 0.81 | learning rate: 1.258E-04 | global batch size: 256 | lm loss: 2.275913E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.379 | TFLOPs: 43.46 | 7: iteration 18440/ 41007 | consumed samples: 4720640 | consumed tokens: 9667870720 | elapsed time per iteration (s): 0.75 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.283425E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.601 | TFLOPs: 46.78 | 7: iteration 18450/ 41007 | consumed samples: 4723200 | consumed tokens: 9673113600 | elapsed time per iteration (s): 0.76 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.246128E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.200 | TFLOPs: 46.32 | 7: iteration 18460/ 41007 | consumed samples: 4725760 | consumed tokens: 9678356480 | elapsed time per iteration (s): 0.77 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 2.234348E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.791 | TFLOPs: 45.44 | 7: iteration 18470/ 41007 | consumed samples: 4728320 | consumed tokens: 9683599360 | elapsed time per iteration (s): 0.77 | learning rate: 1.255E-04 | global batch size: 256 | lm loss: 2.252895E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.433 | TFLOPs: 45.94 | 7: iteration 18480/ 41007 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 0.77 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.241740E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.763 | TFLOPs: 45.71 | 7: iteration 18490/ 41007 | consumed samples: 4733440 | consumed tokens: 9694085120 | elapsed time per iteration (s): 0.77 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.258091E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.695 | TFLOPs: 45.56 | 7: iteration 18500/ 41007 | consumed samples: 4736000 | consumed tokens: 9699328000 | elapsed time per iteration (s): 0.76 | learning rate: 1.253E-04 | global batch size: 256 | lm loss: 2.272786E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.581 | TFLOPs: 46.23 | 7: iteration 18510/ 41007 | consumed samples: 4738560 | consumed tokens: 9704570880 | elapsed time per iteration (s): 0.76 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.273206E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.426 | TFLOPs: 46.35 | 7: iteration 18520/ 41007 | consumed samples: 4741120 | consumed tokens: 9709813760 | elapsed time per iteration (s): 0.76 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.243720E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.848 | TFLOPs: 46.13 | 7: iteration 18530/ 41007 | consumed samples: 4743680 | consumed tokens: 9715056640 | elapsed time per iteration (s): 0.76 | learning rate: 1.251E-04 | global batch size: 256 | lm loss: 2.265646E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.027 | TFLOPs: 46.57 | 7: iteration 18540/ 41007 | consumed samples: 4746240 | consumed tokens: 9720299520 | elapsed time per iteration (s): 0.76 | learning rate: 1.250E-04 | global batch size: 256 | lm loss: 2.280744E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.532 | TFLOPs: 46.36 | 7: iteration 18550/ 41007 | consumed samples: 4748800 | consumed tokens: 9725542400 | elapsed time per iteration (s): 0.76 | learning rate: 1.250E-04 | global batch size: 256 | lm loss: 2.282110E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.931 | TFLOPs: 46.01 | 7: iteration 18560/ 41007 | consumed samples: 4751360 | consumed tokens: 9730785280 | elapsed time per iteration (s): 0.78 | learning rate: 1.249E-04 | global batch size: 256 | lm loss: 2.273271E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.820 | TFLOPs: 45.30 | 7: iteration 18570/ 41007 | consumed samples: 4753920 | consumed tokens: 9736028160 | elapsed time per iteration (s): 0.76 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 2.236379E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.300 | TFLOPs: 46.47 | 7: iteration 18580/ 41007 | consumed samples: 4756480 | consumed tokens: 9741271040 | elapsed time per iteration (s): 0.76 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 2.276633E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.619 | TFLOPs: 46.10 | 7: iteration 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second: 338.670 | TFLOPs: 46.52 | 7: iteration 18620/ 41007 | consumed samples: 4766720 | consumed tokens: 9762242560 | elapsed time per iteration (s): 0.76 | learning rate: 1.245E-04 | global batch size: 256 | lm loss: 2.261643E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.750 | TFLOPs: 46.53 | 7: iteration 18630/ 41007 | consumed samples: 4769280 | consumed tokens: 9767485440 | elapsed time per iteration (s): 0.76 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 2.271880E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.065 | TFLOPs: 46.16 | 7: iteration 18640/ 41007 | consumed samples: 4771840 | consumed tokens: 9772728320 | elapsed time per iteration (s): 0.78 | learning rate: 1.243E-04 | global batch size: 256 | lm loss: 2.260522E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.875 | TFLOPs: 45.17 | 7: iteration 18650/ 41007 | consumed samples: 4774400 | consumed tokens: 9777971200 | elapsed time per iteration (s): 0.77 | learning rate: 1.243E-04 | global batch size: 256 | lm loss: 2.259279E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.735 | TFLOPs: 45.57 | 7: iteration 18660/ 41007 | consumed samples: 4776960 | consumed tokens: 9783214080 | elapsed time per iteration (s): 0.77 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 2.282654E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.551 | TFLOPs: 45.82 | 7: iteration 18670/ 41007 | consumed samples: 4779520 | consumed tokens: 9788456960 | elapsed time per iteration (s): 0.76 | learning rate: 1.241E-04 | global batch size: 256 | lm loss: 2.239156E+00 | grad norm: 0.178 | num zeros: 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per iteration (s): 0.76 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.266143E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.833 | TFLOPs: 46.13 | 7: iteration 19000/ 41007 | consumed samples: 4864000 | consumed tokens: 9961472000 | elapsed time per iteration (s): 0.77 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.278623E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.329 | TFLOPs: 45.92 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 19000 | lm loss value: 2.193180E+00 | lm loss PPL: 8.963675E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 19000 to checkpoints_619m22b 0: [2022-11-28 17:02:42,158] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step19000 is begin to save! 0: [2022-11-28 17:02:42,173] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step19000/layer_01-model_00-model_states.pt... 0: [2022-11-28 17:02:42,380] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/layer_01-model_00-model_states.pt. 0: [2022-11-28 17:02:42,380] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step19000/layer_03-model_00-model_states.pt... 0: [2022-11-28 17:02:42,434] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/layer_03-model_00-model_states.pt. 0: [2022-11-28 17:02:42,434] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step19000/layer_04-model_00-model_states.pt... 0: [2022-11-28 17:02:42,490] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-28 17:02:43,587] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 0: [2022-11-28 17:02:43,588] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-28 17:02:43,588] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2022-11-28 17:02:43,588] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 1: [2022-11-28 17:02:43,592] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-28 17:02:43,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-28 17:02:43,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 1: [2022-11-28 17:02:43,592] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-28 17:02:43,592] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-28 17:02:43,592] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 1: [2022-11-28 17:02:43,592] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-28 17:02:43,593] [INFO] 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checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:02:43,607] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:02:43,607] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-28 17:02:43,607] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 4: [2022-11-28 17:02:43,620] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:02:43,620] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-28 17:02:43,620] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 4: [2022-11-28 17:02:43,620] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:02:43,620] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:02:43,620] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-28 17:02:43,620] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-28 17:02:43,620] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 4: [2022-11-28 17:02:43,620] [INFO] 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bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-28 17:02:43,761] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-28 17:02:43,761] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-28 17:02:43,762] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-28 17:02:43,770] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-28 17:02:43,770] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-28 17:02:43,771] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-28 17:02:43,775] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-28 17:02:43,775] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-28 17:02:43,775] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-28 17:02:43,776] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-28 17:02:43,776] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step19000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-28 17:02:43,776] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step19000 is ready now! 2: [2022-11-28 17:02:43,777] [INFO] 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checkpoints_619m22b 7: time (ms) | save-checkpoint: 1642.49 7: iteration 19010/ 41007 | consumed samples: 4866560 | consumed tokens: 9966714880 | elapsed time per iteration (s): 0.97 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 2.281308E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.013 | TFLOPs: 36.40 | 7: iteration 19020/ 41007 | consumed samples: 4869120 | consumed tokens: 9971957760 | elapsed time per iteration (s): 0.76 | learning rate: 1.217E-04 | global batch size: 256 | lm loss: 2.274945E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.557 | TFLOPs: 46.09 | 7: iteration 19030/ 41007 | consumed samples: 4871680 | consumed tokens: 9977200640 | elapsed time per iteration (s): 0.76 | learning rate: 1.217E-04 | global batch size: 256 | lm loss: 2.240664E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.794 | TFLOPs: 45.99 | 7: iteration 19040/ 41007 | consumed samples: 4874240 | consumed tokens: 9982443520 | elapsed time per iteration (s): 0.76 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.277715E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.430 | TFLOPs: 46.21 | 7: iteration 19050/ 41007 | consumed samples: 4876800 | consumed tokens: 9987686400 | elapsed time per iteration (s): 0.75 | learning rate: 1.215E-04 | global batch size: 256 | lm loss: 2.246255E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.585 | TFLOPs: 46.92 | 7: iteration 19060/ 41007 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 0.76 | learning rate: 1.215E-04 | global batch size: 256 | lm loss: 2.245324E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.895 | TFLOPs: 46.41 | 7: iteration 19070/ 41007 | consumed samples: 4881920 | consumed tokens: 9998172160 | elapsed time per iteration (s): 0.76 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 2.234175E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.287 | TFLOPs: 46.33 | 7: iteration 19080/ 41007 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 0.78 | learning rate: 1.213E-04 | global batch size: 256 | lm loss: 2.263596E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.748 | TFLOPs: 45.16 | 7: iteration 19090/ 41007 | consumed samples: 4887040 | consumed tokens: 10008657920 | elapsed time per iteration (s): 0.76 | learning rate: 1.212E-04 | global batch size: 256 | lm loss: 2.281813E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.831 | TFLOPs: 46.13 | 7: iteration 19100/ 41007 | consumed samples: 4889600 | consumed tokens: 10013900800 | elapsed time per iteration (s): 0.77 | learning rate: 1.212E-04 | global batch size: 256 | lm loss: 2.284424E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.657 | TFLOPs: 45.69 | 7: iteration 19110/ 41007 | consumed samples: 4892160 | consumed tokens: 10019143680 | elapsed time per iteration (s): 0.76 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 2.287185E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.418 | TFLOPs: 46.07 | 7: iteration 19120/ 41007 | consumed samples: 4894720 | consumed tokens: 10024386560 | elapsed time per iteration (s): 0.77 | learning rate: 1.210E-04 | global batch size: 256 | lm loss: 2.250060E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.785 | TFLOPs: 45.71 | 7: iteration 19130/ 41007 | consumed samples: 4897280 | consumed tokens: 10029629440 | elapsed time per iteration (s): 0.76 | learning rate: 1.210E-04 | global batch size: 256 | lm loss: 2.243545E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.814 | TFLOPs: 46.26 | 7: iteration 19140/ 41007 | consumed samples: 4899840 | consumed tokens: 10034872320 | elapsed time per iteration (s): 0.76 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 2.247924E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.657 | TFLOPs: 46.24 | 7: iteration 19150/ 41007 | consumed samples: 4902400 | consumed 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41007 | consumed samples: 4910080 | consumed tokens: 10055843840 | elapsed time per iteration (s): 0.76 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.261355E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.566 | TFLOPs: 46.23 | 7: iteration 19190/ 41007 | consumed samples: 4912640 | consumed tokens: 10061086720 | elapsed time per iteration (s): 0.76 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.261655E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.054 | TFLOPs: 46.30 | 7: iteration 19200/ 41007 | consumed samples: 4915200 | consumed tokens: 10066329600 | elapsed time per iteration (s): 0.78 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 2.263497E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.138 | TFLOPs: 44.94 | 7: iteration 19210/ 41007 | consumed samples: 4917760 | consumed tokens: 10071572480 | elapsed time per iteration (s): 0.78 | learning rate: 1.204E-04 | global batch size: 256 | lm loss: 2.252773E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.542 | TFLOPs: 44.99 | 7: iteration 19220/ 41007 | consumed samples: 4920320 | consumed tokens: 10076815360 | elapsed time per iteration (s): 0.75 | learning rate: 1.203E-04 | global batch size: 256 | lm loss: 2.257585E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.628 | TFLOPs: 46.65 | 7: iteration 19230/ 41007 | consumed samples: 4922880 | consumed tokens: 10082058240 | elapsed time per iteration (s): 0.78 | learning rate: 1.203E-04 | global batch size: 256 | lm loss: 2.257824E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.166 | TFLOPs: 44.94 | 7: iteration 19240/ 41007 | consumed samples: 4925440 | consumed tokens: 10087301120 | elapsed time per iteration (s): 0.77 | learning rate: 1.202E-04 | global batch size: 256 | lm loss: 2.261468E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.317 | TFLOPs: 45.65 | 7: iteration 19250/ 41007 | consumed samples: 4928000 | consumed tokens: 10092544000 | elapsed time per iteration (s): 0.80 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.285567E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.091 | TFLOPs: 44.10 | 7: iteration 19260/ 41007 | consumed samples: 4930560 | consumed tokens: 10097786880 | elapsed time per iteration (s): 0.76 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.248607E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.170 | TFLOPs: 46.31 | 7: iteration 19270/ 41007 | consumed samples: 4933120 | consumed tokens: 10103029760 | elapsed time per iteration (s): 0.77 | learning rate: 1.200E-04 | global batch size: 256 | lm loss: 2.229896E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.299 | TFLOPs: 45.64 | 7: iteration 19280/ 41007 | consumed samples: 4935680 | consumed tokens: 10108272640 | elapsed time per iteration (s): 0.75 | learning rate: 1.199E-04 | global batch size: 256 | lm loss: 2.249071E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.482 | TFLOPs: 46.63 | 7: iteration 19290/ 41007 | consumed samples: 4938240 | consumed tokens: 10113515520 | elapsed time per iteration (s): 0.78 | learning rate: 1.199E-04 | global batch size: 256 | lm loss: 2.264491E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.303 | TFLOPs: 45.37 | 7: iteration 19300/ 41007 | consumed samples: 4940800 | consumed tokens: 10118758400 | elapsed time per iteration (s): 0.75 | learning rate: 1.198E-04 | global batch size: 256 | lm loss: 2.252520E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.478 | TFLOPs: 46.63 | 7: iteration 19310/ 41007 | consumed samples: 4943360 | consumed tokens: 10124001280 | elapsed time per iteration (s): 0.76 | learning rate: 1.197E-04 | global batch size: 256 | lm loss: 2.245383E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.652 | TFLOPs: 45.97 | 7: iteration 19320/ 41007 | consumed samples: 4945920 | consumed tokens: 10129244160 | elapsed time per iteration (s): 0.78 | learning rate: 1.197E-04 | global batch size: 256 | lm loss: 2.235229E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.028 | TFLOPs: 45.33 | 7: iteration 19330/ 41007 | consumed samples: 4948480 | consumed tokens: 10134487040 | elapsed time per iteration (s): 0.79 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 2.231081E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.430 | TFLOPs: 44.70 | 7: iteration 19340/ 41007 | consumed samples: 4951040 | consumed tokens: 10139729920 | elapsed time per iteration (s): 0.77 | learning rate: 1.195E-04 | global batch size: 256 | lm loss: 2.257644E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.315 | TFLOPs: 45.51 | 7: iteration 19350/ 41007 | consumed samples: 4953600 | consumed tokens: 10144972800 | elapsed 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iteration 19410/ 41007 | consumed samples: 4968960 | consumed tokens: 10176430080 | elapsed time per iteration (s): 0.77 | learning rate: 1.190E-04 | global batch size: 256 | lm loss: 2.256680E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.235 | TFLOPs: 45.91 | 7: iteration 19420/ 41007 | consumed samples: 4971520 | consumed tokens: 10181672960 | elapsed time per iteration (s): 0.76 | learning rate: 1.190E-04 | global batch size: 256 | lm loss: 2.263537E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.931 | TFLOPs: 46.55 | 7: iteration 19430/ 41007 | consumed samples: 4974080 | consumed tokens: 10186915840 | elapsed time per iteration (s): 0.76 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 2.274157E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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size: 256 | lm loss: 2.264461E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.676 | TFLOPs: 46.79 | 7: iteration 19530/ 41007 | consumed samples: 4999680 | consumed tokens: 10239344640 | elapsed time per iteration (s): 0.78 | learning rate: 1.182E-04 | global batch size: 256 | lm loss: 2.235748E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.749 | TFLOPs: 44.88 | 7: iteration 19540/ 41007 | consumed samples: 5002240 | consumed tokens: 10244587520 | elapsed time per iteration (s): 0.75 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 2.256722E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.807 | TFLOPs: 46.81 | 7: iteration 19550/ 41007 | consumed samples: 5004800 | consumed tokens: 10249830400 | elapsed time per iteration (s): 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consumed samples: 5020160 | consumed tokens: 10281287680 | elapsed time per iteration (s): 0.78 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.256436E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.827 | TFLOPs: 45.03 | 7: iteration 19620/ 41007 | consumed samples: 5022720 | consumed tokens: 10286530560 | elapsed time per iteration (s): 0.76 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.262495E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.967 | TFLOPs: 46.15 | 7: iteration 19630/ 41007 | consumed samples: 5025280 | consumed tokens: 10291773440 | elapsed time per iteration (s): 0.75 | learning rate: 1.175E-04 | global batch size: 256 | lm loss: 2.261009E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.215 | TFLOPs: 46.73 | 7: iteration 19640/ 41007 | consumed samples: 5027840 | consumed tokens: 10297016320 | elapsed time per iteration (s): 0.76 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.274565E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.105 | TFLOPs: 46.44 | 7: iteration 19650/ 41007 | consumed samples: 5030400 | consumed tokens: 10302259200 | elapsed time per iteration (s): 0.75 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.222334E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.104 | TFLOPs: 46.58 | 7: iteration 19660/ 41007 | consumed samples: 5032960 | consumed tokens: 10307502080 | elapsed time per iteration (s): 0.75 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 2.253400E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.635 | TFLOPs: 46.79 | 7: iteration 19670/ 41007 | consumed samples: 5035520 | consumed tokens: 10312744960 | elapsed time per iteration (s): 0.75 | learning rate: 1.172E-04 | global batch size: 256 | lm loss: 2.238263E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.411 | TFLOPs: 46.90 | 7: iteration 19680/ 41007 | consumed samples: 5038080 | consumed tokens: 10317987840 | elapsed time per iteration (s): 0.76 | learning rate: 1.172E-04 | global batch size: 256 | lm loss: 2.229325E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.483 | TFLOPs: 46.49 | 7: iteration 19690/ 41007 | consumed samples: 5040640 | consumed tokens: 10323230720 | elapsed time per iteration (s): 0.76 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.235917E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.614 | TFLOPs: 46.10 | 7: iteration 19700/ 41007 | consumed samples: 5043200 | consumed tokens: 10328473600 | elapsed time per iteration (s): 0.77 | learning rate: 1.170E-04 | global batch size: 256 | lm loss: 2.244204E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.987 | TFLOPs: 45.60 | 7: iteration 19710/ 41007 | consumed samples: 5045760 | consumed tokens: 10333716480 | elapsed time per iteration (s): 0.76 | learning rate: 1.170E-04 | global batch size: 256 | lm loss: 2.237249E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.682 | TFLOPs: 46.11 | 7: iteration 19720/ 41007 | consumed samples: 5048320 | consumed tokens: 10338959360 | elapsed time per iteration (s): 0.78 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 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iterations: 0 | number of nan iterations: 0 | samples per second: 277.728 | TFLOPs: 38.15 | 7: iteration 19900/ 41007 | consumed samples: 5094400 | consumed tokens: 10433331200 | elapsed time per iteration (s): 0.83 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 2.250114E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.438 | TFLOPs: 42.23 | 7: iteration 19910/ 41007 | consumed samples: 5096960 | consumed tokens: 10438574080 | elapsed time per iteration (s): 0.96 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 2.266378E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.820 | TFLOPs: 36.79 | 7: iteration 19920/ 41007 | consumed samples: 5099520 | consumed tokens: 10443816960 | elapsed time per iteration (s): 0.86 | learning rate: 1.155E-04 | global batch size: 256 | lm loss: 2.273370E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 297.405 | TFLOPs: 40.85 | 7: iteration 19930/ 41007 | consumed samples: 5102080 | consumed tokens: 10449059840 | elapsed time per iteration (s): 0.77 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.214293E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.263 | TFLOPs: 45.91 | 7: iteration 19940/ 41007 | consumed samples: 5104640 | consumed tokens: 10454302720 | elapsed time per iteration (s): 0.77 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.272916E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.485 | TFLOPs: 45.94 | 7: iteration 19950/ 41007 | consumed samples: 5107200 | consumed tokens: 10459545600 | elapsed time per iteration (s): 0.77 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 2.224937E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.153 | TFLOPs: 45.49 | 7: iteration 19960/ 41007 | consumed samples: 5109760 | consumed tokens: 10464788480 | elapsed time per iteration (s): 0.76 | learning rate: 1.152E-04 | global batch size: 256 | lm loss: 2.221883E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.373 | TFLOPs: 46.07 | 7: iteration 19970/ 41007 | consumed samples: 5112320 | consumed tokens: 10470031360 | elapsed time per iteration (s): 0.77 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.260505E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.539 | TFLOPs: 45.95 | 7: iteration 19980/ 41007 | consumed samples: 5114880 | consumed tokens: 10475274240 | elapsed time per iteration (s): 0.75 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.265962E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.801 | TFLOPs: 46.67 | 7: iteration 19990/ 41007 | consumed samples: 5117440 | consumed tokens: 10480517120 | elapsed time per iteration (s): 0.76 | learning rate: 1.150E-04 | global batch size: 256 | lm loss: 2.259342E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.060 | TFLOPs: 46.02 | 0: [2022-11-28 17:15:38,332] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[0.00011493559665595275, 0.00011493559665595275, 0.00011493559665595275], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 20000/ 41007 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 0.75 | learning rate: 1.149E-04 | global batch size: 256 | lm loss: 2.277222E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.938 | TFLOPs: 46.97 | 0: steps: 20000 loss: 2.2429 iter time (s): 0.769 samples/sec: 333.028 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 20000 | lm loss value: 2.156715E+00 | lm loss PPL: 8.642701E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 20000 to checkpoints_619m22b 0: [2022-11-28 17:15:38,659] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step20000 is begin to save! 0: [2022-11-28 17:15:38,697] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step20000/layer_01-model_00-model_states.pt... 0: [2022-11-28 17:15:39,047] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:15:40,847] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:15:40,847] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-28 17:15:40,847] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-28 17:15:40,847] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 4: [2022-11-28 17:15:40,847] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: [2022-11-28 17:15:40,965] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step20000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 17:15:40,965] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: successfully saved checkpoint at iteration 20000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 2365.44 7: iteration 20010/ 41007 | consumed samples: 5122560 | consumed tokens: 10491002880 | elapsed time per iteration (s): 1.02 | learning rate: 1.149E-04 | global batch size: 256 | lm loss: 2.252444E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 250.610 | TFLOPs: 34.42 | 7: iteration 20020/ 41007 | consumed samples: 5125120 | consumed tokens: 10496245760 | elapsed time per iteration (s): 0.76 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 2.227279E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.666 | TFLOPs: 46.24 | 7: iteration 20030/ 41007 | consumed samples: 5127680 | consumed tokens: 10501488640 | elapsed time per iteration (s): 0.75 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 2.254366E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.301 | TFLOPs: 46.61 | 7: iteration 20040/ 41007 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 0.75 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 2.254963E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.243 | TFLOPs: 46.60 | 7: iteration 20050/ 41007 | consumed samples: 5132800 | consumed tokens: 10511974400 | elapsed time per iteration (s): 0.76 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.234304E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.910 | TFLOPs: 46.14 | 7: iteration 20060/ 41007 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 0.77 | learning rate: 1.145E-04 | global batch size: 256 | lm loss: 2.253014E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.892 | TFLOPs: 45.73 | 7: iteration 20070/ 41007 | consumed samples: 5137920 | consumed tokens: 10522460160 | elapsed time per iteration (s): 0.76 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 2.218757E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.982 | TFLOPs: 46.56 | 7: iteration 20080/ 41007 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 0.76 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 2.232897E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.643 | TFLOPs: 46.10 | 7: iteration 20090/ 41007 | consumed samples: 5143040 | consumed tokens: 10532945920 | elapsed time per iteration (s): 0.77 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 2.206476E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.478 | TFLOPs: 45.67 | 7: iteration 20100/ 41007 | consumed samples: 5145600 | consumed tokens: 10538188800 | elapsed time per iteration (s): 0.78 | learning rate: 1.142E-04 | global batch size: 256 | lm loss: 2.264157E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.405 | TFLOPs: 45.11 | 7: iteration 20110/ 41007 | consumed samples: 5148160 | consumed tokens: 10543431680 | elapsed time per iteration (s): 0.77 | learning rate: 1.142E-04 | global batch size: 256 | lm loss: 2.221604E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.793 | TFLOPs: 45.85 | 7: iteration 20120/ 41007 | consumed samples: 5150720 | consumed tokens: 10548674560 | elapsed time per iteration (s): 0.76 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 2.234036E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.456 | TFLOPs: 46.22 | 7: iteration 20130/ 41007 | consumed samples: 5153280 | consumed tokens: 10553917440 | elapsed time per iteration (s): 0.77 | learning rate: 1.140E-04 | global batch size: 256 | lm loss: 2.244612E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.603 | TFLOPs: 45.82 | 7: iteration 20140/ 41007 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 0.78 | learning rate: 1.140E-04 | global batch size: 256 | lm loss: 2.237185E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.861 | TFLOPs: 44.90 | 7: iteration 20150/ 41007 | consumed samples: 5158400 | consumed tokens: 10564403200 | elapsed time per iteration (s): 0.76 | learning rate: 1.139E-04 | global batch size: 256 | lm loss: 2.254145E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.944 | TFLOPs: 46.56 | 7: iteration 20160/ 41007 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 0.76 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 2.283682E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.705 | TFLOPs: 46.39 | 7: iteration 20170/ 41007 | consumed samples: 5163520 | consumed tokens: 10574888960 | elapsed time per iteration (s): 0.76 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 2.241070E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.403 | TFLOPs: 46.21 | 7: iteration 20180/ 41007 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 0.78 | learning rate: 1.137E-04 | global batch size: 256 | lm loss: 2.247080E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.646 | TFLOPs: 45.14 | 7: iteration 20190/ 41007 | consumed samples: 5168640 | consumed tokens: 10585374720 | elapsed time per iteration (s): 0.77 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 2.245814E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.426 | TFLOPs: 45.52 | 7: iteration 20200/ 41007 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 0.78 | learning rate: 1.135E-04 | global batch size: 256 | lm loss: 2.253011E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.738 | TFLOPs: 45.15 | 7: iteration 20210/ 41007 | consumed samples: 5173760 | consumed tokens: 10595860480 | elapsed time per iteration (s): 0.77 | learning rate: 1.135E-04 | global batch size: 256 | lm loss: 2.202012E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.662 | TFLOPs: 45.56 | 7: iteration 20220/ 41007 | consumed samples: 5176320 | consumed tokens: 10601103360 | elapsed time per iteration (s): 0.75 | learning rate: 1.134E-04 | global batch size: 256 | lm loss: 2.224707E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.934 | TFLOPs: 46.69 | 7: iteration 20230/ 41007 | consumed samples: 5178880 | consumed tokens: 10606346240 | elapsed time per iteration (s): 0.76 | learning rate: 1.133E-04 | global batch size: 256 | lm loss: 2.242940E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.027 | TFLOPs: 46.02 | 7: iteration 20240/ 41007 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 0.75 | learning rate: 1.133E-04 | global batch size: 256 | lm loss: 2.240024E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.950 | TFLOPs: 47.11 | 7: iteration 20250/ 41007 | consumed samples: 5184000 | consumed tokens: 10616832000 | elapsed time per iteration (s): 0.76 | learning rate: 1.132E-04 | global batch size: 256 | lm loss: 2.230871E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.064 | TFLOPs: 46.57 | 7: iteration 20260/ 41007 | consumed samples: 5186560 | consumed tokens: 10622074880 | elapsed time per iteration (s): 0.77 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.235204E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.480 | TFLOPs: 45.94 | 7: iteration 20270/ 41007 | consumed samples: 5189120 | consumed tokens: 10627317760 | elapsed time per iteration (s): 0.78 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.239813E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.613 | TFLOPs: 45.14 | 7: iteration 20280/ 41007 | consumed samples: 5191680 | consumed tokens: 10632560640 | elapsed time per iteration (s): 0.77 | learning rate: 1.130E-04 | global batch size: 256 | lm loss: 2.248112E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.251 | TFLOPs: 45.77 | 7: iteration 20290/ 41007 | consumed samples: 5194240 | consumed tokens: 10637803520 | elapsed time per iteration (s): 0.76 | learning rate: 1.129E-04 | global batch size: 256 | lm loss: 2.278430E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.796 | TFLOPs: 46.12 | 7: iteration 20300/ 41007 | consumed samples: 5196800 | consumed tokens: 10643046400 | elapsed time per iteration (s): 0.75 | learning rate: 1.128E-04 | global batch size: 256 | lm loss: 2.227570E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.939 | TFLOPs: 46.83 | 7: iteration 20310/ 41007 | consumed samples: 5199360 | consumed tokens: 10648289280 | elapsed time per iteration (s): 0.77 | learning rate: 1.128E-04 | global batch size: 256 | lm loss: 2.230047E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.855 | TFLOPs: 45.45 | 7: iteration 20320/ 41007 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 0.76 | learning rate: 1.127E-04 | global batch size: 256 | lm loss: 2.245125E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.981 | TFLOPs: 46.01 | 7: iteration 20330/ 41007 | consumed samples: 5204480 | consumed tokens: 10658775040 | elapsed time per iteration (s): 0.78 | learning rate: 1.126E-04 | global batch size: 256 | lm loss: 2.262561E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.311 | TFLOPs: 44.96 | 7: iteration 20340/ 41007 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 0.76 | learning rate: 1.126E-04 | global batch size: 256 | lm loss: 2.234274E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.119 | TFLOPs: 46.31 | 7: iteration 20350/ 41007 | consumed samples: 5209600 | consumed tokens: 10669260800 | elapsed time per iteration (s): 0.78 | learning rate: 1.125E-04 | global batch size: 256 | lm loss: 2.203930E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.002 | TFLOPs: 45.33 | 7: iteration 20360/ 41007 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 0.76 | learning rate: 1.124E-04 | global batch size: 256 | lm loss: 2.248277E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.411 | TFLOPs: 46.07 | 7: iteration 20370/ 41007 | consumed samples: 5214720 | consumed tokens: 10679746560 | elapsed time per iteration (s): 0.75 | learning rate: 1.124E-04 | global batch size: 256 | lm loss: 2.222355E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.167 | TFLOPs: 46.72 | 7: iteration 20380/ 41007 | consumed samples: 5217280 | consumed tokens: 10684989440 | elapsed time per iteration (s): 0.76 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 2.247238E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.621 | TFLOPs: 46.24 | 7: iteration 20390/ 41007 | consumed samples: 5219840 | consumed tokens: 10690232320 | elapsed time per iteration (s): 0.76 | learning rate: 1.122E-04 | global batch size: 256 | lm loss: 2.219424E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.180 | TFLOPs: 46.45 | 7: iteration 20400/ 41007 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 0.77 | learning rate: 1.122E-04 | global batch size: 256 | lm loss: 2.269256E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.686 | TFLOPs: 45.83 | 7: iteration 20410/ 41007 | consumed samples: 5224960 | consumed tokens: 10700718080 | elapsed time per iteration (s): 0.76 | learning rate: 1.121E-04 | global batch size: 256 | lm loss: 2.225441E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.673 | TFLOPs: 45.97 | 7: iteration 20420/ 41007 | consumed samples: 5227520 | consumed tokens: 10705960960 | elapsed time per iteration (s): 0.77 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 2.256812E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.965 | TFLOPs: 45.46 | 7: iteration 20430/ 41007 | consumed samples: 5230080 | consumed tokens: 10711203840 | elapsed time per iteration (s): 0.79 | learning rate: 1.119E-04 | global batch size: 256 | lm loss: 2.247913E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.098 | TFLOPs: 44.79 | 7: iteration 20440/ 41007 | consumed samples: 5232640 | consumed tokens: 10716446720 | elapsed time per iteration (s): 0.77 | learning rate: 1.119E-04 | global batch size: 256 | lm loss: 2.248696E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.035 | TFLOPs: 45.75 | 7: 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samples per second: 332.390 | TFLOPs: 45.66 | 7: iteration 20480/ 41007 | consumed samples: 5242880 | consumed tokens: 10737418240 | elapsed time per iteration (s): 0.76 | learning rate: 1.116E-04 | global batch size: 256 | lm loss: 2.247311E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.085 | TFLOPs: 46.44 | 7: iteration 20490/ 41007 | consumed samples: 5245440 | consumed tokens: 10742661120 | elapsed time per iteration (s): 0.76 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.241930E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.693 | TFLOPs: 46.11 | 7: iteration 20500/ 41007 | consumed samples: 5248000 | consumed tokens: 10747904000 | elapsed time per iteration (s): 0.77 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.250935E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.625 | TFLOPs: 45.41 | 7: iteration 20510/ 41007 | consumed samples: 5250560 | consumed tokens: 10753146880 | elapsed time per iteration (s): 0.76 | learning rate: 1.114E-04 | global batch size: 256 | lm loss: 2.241035E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.639 | TFLOPs: 46.51 | 7: iteration 20520/ 41007 | consumed samples: 5253120 | consumed tokens: 10758389760 | elapsed time per iteration (s): 0.75 | learning rate: 1.113E-04 | global batch size: 256 | lm loss: 2.289842E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.112 | TFLOPs: 46.85 | 7: iteration 20530/ 41007 | consumed samples: 5255680 | consumed tokens: 10763632640 | elapsed time per iteration (s): 0.76 | learning rate: 1.112E-04 | global batch size: 256 | lm loss: 2.253766E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.810 | TFLOPs: 46.54 | 7: iteration 20540/ 41007 | consumed samples: 5258240 | consumed tokens: 10768875520 | elapsed time per iteration (s): 0.78 | learning rate: 1.112E-04 | global batch size: 256 | lm loss: 2.224774E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.960 | TFLOPs: 44.91 | 7: iteration 20550/ 41007 | consumed samples: 5260800 | consumed tokens: 10774118400 | elapsed time per iteration (s): 0.78 | learning rate: 1.111E-04 | global batch size: 256 | lm loss: 2.255970E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.319 | TFLOPs: 45.37 | 7: iteration 20560/ 41007 | consumed samples: 5263360 | consumed tokens: 10779361280 | elapsed time per iteration (s): 0.77 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 2.242105E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.272 | TFLOPs: 45.78 | 7: iteration 20570/ 41007 | consumed samples: 5265920 | consumed tokens: 10784604160 | elapsed time per iteration (s): 0.78 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 2.232380E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.267 | TFLOPs: 44.95 | 7: iteration 20580/ 41007 | consumed samples: 5268480 | consumed tokens: 10789847040 | elapsed time per iteration (s): 0.77 | learning rate: 1.109E-04 | global batch size: 256 | lm loss: 2.212806E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.802 | TFLOPs: 45.58 | 7: iteration 20590/ 41007 | consumed samples: 5271040 | consumed tokens: 10795089920 | elapsed time per iteration (s): 0.76 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 2.244353E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.936 | TFLOPs: 46.56 | 7: iteration 20600/ 41007 | consumed samples: 5273600 | consumed tokens: 10800332800 | elapsed time per iteration (s): 0.77 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 2.222290E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.647 | TFLOPs: 45.42 | 7: iteration 20610/ 41007 | consumed samples: 5276160 | consumed tokens: 10805575680 | elapsed time per iteration (s): 0.80 | learning rate: 1.107E-04 | global batch size: 256 | lm loss: 2.228284E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.804 | TFLOPs: 43.79 | 7: iteration 20620/ 41007 | consumed samples: 5278720 | consumed tokens: 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size: 256 | lm loss: 2.239404E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.445 | TFLOPs: 45.11 | 7: iteration 21000/ 41007 | consumed samples: 5376000 | consumed tokens: 11010048000 | elapsed time per iteration (s): 0.77 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 2.245584E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.274 | TFLOPs: 45.64 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 21000 | lm loss value: 2.202282E+00 | lm loss PPL: 9.045632E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 21000 to checkpoints_619m22b 0: [2022-11-28 17:28:28,732] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21000 is begin to save! 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:28:30,181] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-28 17:28:30,181] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 1: [2022-11-28 17:28:30,187] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 6: [2022-11-28 17:28:30,190] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-28 17:28:30,191] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-28 17:28:30,191] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-28 17:28:30,191] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 6: [2022-11-28 17:28:30,191] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-28 17:28:30,191] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 5: [2022-11-28 17:28:30,195] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-28 17:28:30,195] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-28 17:28:30,195] 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checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:28:30,193] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-28 17:28:30,193] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:28:30,197] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-28 17:28:30,197] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 7: [2022-11-28 17:28:30,210] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-28 17:28:30,210] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 4: [2022-11-28 17:28:30,197] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 5: [2022-11-28 17:28:30,209] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 7: [2022-11-28 17:28:30,210] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 4: [2022-11-28 17:28:30,197] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 5: [2022-11-28 17:28:30,209] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 7: [2022-11-28 17:28:30,210] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-28 17:28:30,210] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 7: [2022-11-28 17:28:30,210] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 4: [2022-11-28 17:28:30,197] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 7: [2022-11-28 17:28:30,210] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 7: [2022-11-28 17:28:30,210] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 1: [2022-11-28 17:28:30,187] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-28 17:28:30,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 7: [2022-11-28 17:28:30,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-28 17:28:30,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-28 17:28:30,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 7: [2022-11-28 17:28:30,252] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-28 17:28:30,252] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-28 17:28:30,252] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: [2022-11-28 17:28:30,368] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step21000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 17:28:30,368] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: successfully saved checkpoint at iteration 21000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1649.80 7: iteration 21010/ 41007 | consumed samples: 5378560 | consumed tokens: 11015290880 | elapsed time per iteration (s): 0.96 | learning rate: 1.079E-04 | global batch size: 256 | lm loss: 2.256273E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 266.592 | TFLOPs: 36.62 | 7: iteration 21020/ 41007 | consumed samples: 5381120 | consumed tokens: 11020533760 | elapsed time per iteration (s): 0.77 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.248780E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.675 | TFLOPs: 45.70 | 7: iteration 21030/ 41007 | consumed samples: 5383680 | consumed tokens: 11025776640 | elapsed time per iteration (s): 0.77 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.264333E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.436 | TFLOPs: 45.80 | 7: iteration 21040/ 41007 | consumed samples: 5386240 | consumed tokens: 11031019520 | elapsed time per iteration (s): 0.76 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.222694E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.789 | TFLOPs: 46.12 | 7: iteration 21050/ 41007 | consumed samples: 5388800 | consumed tokens: 11036262400 | elapsed time per iteration (s): 0.78 | learning rate: 1.076E-04 | global batch size: 256 | lm loss: 2.239054E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.898 | TFLOPs: 45.31 | 7: iteration 21060/ 41007 | consumed samples: 5391360 | consumed tokens: 11041505280 | elapsed time per iteration (s): 0.76 | learning rate: 1.076E-04 | global batch size: 256 | lm loss: 2.265751E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.407 | TFLOPs: 46.48 | 7: iteration 21070/ 41007 | consumed samples: 5393920 | consumed tokens: 11046748160 | elapsed time per iteration (s): 0.76 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 2.219327E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.323 | TFLOPs: 46.06 | 7: iteration 21080/ 41007 | consumed samples: 5396480 | consumed tokens: 11051991040 | elapsed time per iteration (s): 0.75 | learning rate: 1.074E-04 | global batch size: 256 | lm loss: 2.214809E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.892 | TFLOPs: 46.69 | 7: iteration 21090/ 41007 | consumed samples: 5399040 | consumed tokens: 11057233920 | elapsed time per iteration (s): 0.76 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 2.218870E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.323 | TFLOPs: 46.06 | 7: iteration 21100/ 41007 | consumed samples: 5401600 | consumed tokens: 11062476800 | elapsed time per iteration (s): 0.76 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 2.222696E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.204 | TFLOPs: 46.18 | 7: iteration 21110/ 41007 | consumed samples: 5404160 | consumed tokens: 11067719680 | elapsed time per iteration (s): 0.87 | learning rate: 1.072E-04 | global batch size: 256 | lm loss: 2.258472E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.805 | TFLOPs: 40.49 | 7: iteration 21120/ 41007 | consumed samples: 5406720 | consumed tokens: 11072962560 | elapsed time per iteration (s): 0.76 | learning rate: 1.071E-04 | global batch size: 256 | lm loss: 2.257257E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.661 | TFLOPs: 46.11 | 7: iteration 21130/ 41007 | consumed samples: 5409280 | consumed tokens: 11078205440 | elapsed time per iteration (s): 0.75 | learning rate: 1.071E-04 | global batch size: 256 | lm loss: 2.219689E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.333 | TFLOPs: 46.75 | 7: iteration 21140/ 41007 | consumed samples: 5411840 | consumed tokens: 11083448320 | elapsed time per iteration (s): 0.77 | learning rate: 1.070E-04 | global batch size: 256 | lm loss: 2.236962E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.596 | TFLOPs: 45.96 | 7: iteration 21150/ 41007 | consumed samples: 5414400 | consumed tokens: 11088691200 | elapsed time per iteration (s): 0.76 | learning rate: 1.069E-04 | global batch size: 256 | lm loss: 2.253889E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.266 | TFLOPs: 46.05 | 7: iteration 21160/ 41007 | consumed samples: 5416960 | consumed tokens: 11093934080 | elapsed time per iteration (s): 0.75 | learning rate: 1.069E-04 | global batch size: 256 | lm loss: 2.240883E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.135 | TFLOPs: 46.86 | 7: iteration 21170/ 41007 | consumed samples: 5419520 | consumed tokens: 11099176960 | elapsed time per iteration (s): 0.75 | learning rate: 1.068E-04 | global batch size: 256 | lm loss: 2.221696E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.601 | TFLOPs: 46.92 | 7: iteration 21180/ 41007 | consumed samples: 5422080 | consumed tokens: 11104419840 | elapsed time per iteration (s): 0.77 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 2.220634E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.388 | TFLOPs: 45.66 | 7: iteration 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second: 340.837 | TFLOPs: 46.82 | 7: iteration 21220/ 41007 | consumed samples: 5432320 | consumed tokens: 11125391360 | elapsed time per iteration (s): 0.75 | learning rate: 1.064E-04 | global batch size: 256 | lm loss: 2.232486E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.820 | TFLOPs: 46.95 | 7: iteration 21230/ 41007 | consumed samples: 5434880 | consumed tokens: 11130634240 | elapsed time per iteration (s): 0.76 | learning rate: 1.064E-04 | global batch size: 256 | lm loss: 2.213039E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.874 | TFLOPs: 46.14 | 7: iteration 21240/ 41007 | consumed samples: 5437440 | consumed tokens: 11135877120 | elapsed time per iteration (s): 0.76 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 2.201588E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.885 | TFLOPs: 46.00 | 7: iteration 21250/ 41007 | consumed samples: 5440000 | consumed tokens: 11141120000 | elapsed time per iteration (s): 0.77 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.265887E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.728 | TFLOPs: 45.70 | 7: iteration 21260/ 41007 | consumed samples: 5442560 | consumed tokens: 11146362880 | elapsed time per iteration (s): 0.77 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.240499E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.320 | TFLOPs: 45.65 | 7: iteration 21270/ 41007 | consumed samples: 5445120 | consumed tokens: 11151605760 | elapsed time per iteration (s): 0.77 | learning rate: 1.061E-04 | global batch size: 256 | lm loss: 2.217847E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.375 | TFLOPs: 45.93 | 7: iteration 21280/ 41007 | consumed samples: 5447680 | consumed tokens: 11156848640 | elapsed time per iteration (s): 0.76 | learning rate: 1.060E-04 | global batch size: 256 | lm loss: 2.232417E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.342 | TFLOPs: 46.06 | 7: iteration 21290/ 41007 | consumed samples: 5450240 | consumed tokens: 11162091520 | elapsed time per iteration (s): 0.76 | learning rate: 1.060E-04 | global batch size: 256 | lm loss: 2.276940E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.236 | TFLOPs: 46.05 | 7: iteration 21300/ 41007 | consumed samples: 5452800 | consumed tokens: 11167334400 | elapsed time per iteration (s): 0.77 | learning rate: 1.059E-04 | global batch size: 256 | lm 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iteration 21620/ 41007 | consumed samples: 5534720 | consumed tokens: 11335106560 | elapsed time per iteration (s): 0.78 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 2.250829E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.656 | TFLOPs: 45.28 | 7: iteration 21630/ 41007 | consumed samples: 5537280 | consumed tokens: 11340349440 | elapsed time per iteration (s): 0.77 | learning rate: 1.036E-04 | global batch size: 256 | lm loss: 2.260738E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.219 | TFLOPs: 45.50 | 7: iteration 21640/ 41007 | consumed samples: 5539840 | consumed tokens: 11345592320 | elapsed time per iteration (s): 0.75 | learning rate: 1.035E-04 | global batch size: 256 | lm loss: 2.245190E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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TFLOPs: 47.18 | 7: iteration 21850/ 41007 | consumed samples: 5593600 | consumed tokens: 11455692800 | elapsed time per iteration (s): 0.76 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 2.254175E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.743 | TFLOPs: 46.39 | 7: iteration 21860/ 41007 | consumed samples: 5596160 | consumed tokens: 11460935680 | elapsed time per iteration (s): 0.75 | learning rate: 1.020E-04 | global batch size: 256 | lm loss: 2.256579E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.329 | TFLOPs: 46.61 | 7: iteration 21870/ 41007 | consumed samples: 5598720 | consumed tokens: 11466178560 | elapsed time per iteration (s): 0.78 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 2.248380E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan 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number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.443 | TFLOPs: 45.39 | 7: iteration 21910/ 41007 | consumed samples: 5608960 | consumed tokens: 11487150080 | elapsed time per iteration (s): 0.75 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 2.237619E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.067 | TFLOPs: 46.99 | 7: iteration 21920/ 41007 | consumed samples: 5611520 | consumed tokens: 11492392960 | elapsed time per iteration (s): 0.76 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 2.210824E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.244 | TFLOPs: 46.32 | 7: iteration 21930/ 41007 | consumed samples: 5614080 | consumed tokens: 11497635840 | elapsed time per iteration (s): 0.76 | learning rate: 1.015E-04 | global batch size: 256 | lm loss: 2.214439E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.668 | TFLOPs: 46.52 | 7: iteration 21940/ 41007 | consumed samples: 5616640 | consumed tokens: 11502878720 | elapsed time per iteration (s): 0.76 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 2.255773E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.597 | TFLOPs: 46.10 | 7: iteration 21950/ 41007 | consumed samples: 5619200 | consumed tokens: 11508121600 | elapsed time per iteration (s): 0.76 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 2.252654E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.671 | TFLOPs: 46.11 | 7: iteration 21960/ 41007 | consumed samples: 5621760 | consumed tokens: 11513364480 | elapsed time per iteration (s): 0.76 | learning rate: 1.013E-04 | global batch size: 256 | lm loss: 2.242036E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.837 | TFLOPs: 46.54 | 7: iteration 21970/ 41007 | consumed samples: 5624320 | consumed tokens: 11518607360 | elapsed time per iteration (s): 0.78 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 2.241800E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.286 | TFLOPs: 45.37 | 7: iteration 21980/ 41007 | consumed samples: 5626880 | consumed tokens: 11523850240 | elapsed time per iteration (s): 0.76 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 2.219733E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.891 | TFLOPs: 46.55 | 7: iteration 21990/ 41007 | consumed samples: 5629440 | consumed tokens: 11529093120 | elapsed time per iteration (s): 0.76 | learning rate: 1.011E-04 | global batch size: 256 | lm loss: 2.262555E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.850 | TFLOPs: 46.27 | 0: [2022-11-28 17:41:15,332] [INFO] [logging.py:68:log_dist] [Rank 0] step=22000, skipped=0, lr=[0.00010102406332705932, 0.00010102406332705932, 0.00010102406332705932], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 22000/ 41007 | consumed samples: 5632000 | consumed tokens: 11534336000 | elapsed time per iteration (s): 0.77 | learning rate: 1.010E-04 | global batch size: 256 | lm loss: 2.218722E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.343 | TFLOPs: 45.92 | 0: steps: 22000 loss: 2.2033 iter time (s): 0.764 samples/sec: 335.038 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 22000 | lm loss value: 2.172671E+00 | lm loss PPL: 8.781705E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 22000 to checkpoints_619m22b 0: [2022-11-28 17:41:15,613] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step22000 is begin to save! 0: [2022-11-28 17:41:15,619] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step22000/layer_01-model_00-model_states.pt... 0: [2022-11-28 17:41:15,794] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step22000/layer_01-model_00-model_states.pt. 0: [2022-11-28 17:41:15,795] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step22000/layer_03-model_00-model_states.pt... 0: [2022-11-28 17:41:15,850] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step22000/layer_03-model_00-model_states.pt. 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checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 7: [2022-11-28 17:41:17,207] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step22000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 7: [2022-11-28 17:41:17,207] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step22000 is ready now! 0: successfully saved checkpoint at iteration 22000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1614.86 7: iteration 22010/ 41007 | consumed samples: 5634560 | consumed tokens: 11539578880 | elapsed time per iteration (s): 0.95 | learning rate: 1.010E-04 | global batch size: 256 | lm loss: 2.229840E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.991 | TFLOPs: 37.09 | 7: iteration 22020/ 41007 | consumed samples: 5637120 | consumed tokens: 11544821760 | elapsed time per iteration (s): 0.77 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.229198E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.628 | TFLOPs: 45.96 | 7: iteration 22030/ 41007 | consumed samples: 5639680 | consumed tokens: 11550064640 | elapsed time per iteration (s): 0.75 | learning rate: 1.008E-04 | global batch size: 256 | lm loss: 2.235818E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.066 | TFLOPs: 46.71 | 7: iteration 22040/ 41007 | consumed samples: 5642240 | consumed tokens: 11555307520 | elapsed time per iteration (s): 0.77 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 2.195534E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.260 | TFLOPs: 45.91 | 7: iteration 22050/ 41007 | consumed samples: 5644800 | consumed tokens: 11560550400 | elapsed time per iteration (s): 0.76 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 2.217815E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.946 | TFLOPs: 46.28 | 7: iteration 22060/ 41007 | consumed samples: 5647360 | consumed tokens: 11565793280 | elapsed time per iteration (s): 0.76 | learning rate: 1.006E-04 | global batch size: 256 | lm loss: 2.226195E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.611 | TFLOPs: 46.37 | 7: iteration 22070/ 41007 | consumed samples: 5649920 | consumed tokens: 11571036160 | elapsed time per iteration (s): 0.76 | learning rate: 1.005E-04 | global batch size: 256 | lm loss: 2.207888E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.346 | TFLOPs: 46.47 | 7: iteration 22080/ 41007 | consumed samples: 5652480 | consumed tokens: 11576279040 | elapsed time per iteration (s): 0.76 | learning rate: 1.005E-04 | global batch size: 256 | lm loss: 2.238143E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.088 | TFLOPs: 46.03 | 7: iteration 22090/ 41007 | consumed samples: 5655040 | consumed tokens: 11581521920 | elapsed time per iteration (s): 0.76 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.240792E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.725 | TFLOPs: 46.39 | 7: iteration 22100/ 41007 | consumed samples: 5657600 | consumed tokens: 11586764800 | elapsed time per iteration (s): 0.75 | learning rate: 1.003E-04 | global batch size: 256 | lm loss: 2.237846E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.171 | TFLOPs: 46.73 | 7: iteration 22110/ 41007 | consumed samples: 5660160 | consumed tokens: 11592007680 | elapsed time per iteration (s): 0.76 | learning rate: 1.003E-04 | global batch size: 256 | lm loss: 2.240772E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.970 | TFLOPs: 46.15 | 7: iteration 22120/ 41007 | consumed samples: 5662720 | consumed tokens: 11597250560 | elapsed time per iteration (s): 0.78 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 2.233669E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.218 | TFLOPs: 45.22 | 7: iteration 22130/ 41007 | consumed samples: 5665280 | consumed tokens: 11602493440 | elapsed time per iteration (s): 0.77 | learning rate: 1.001E-04 | global batch size: 256 | lm loss: 2.245148E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.325 | TFLOPs: 45.78 | 7: iteration 22140/ 41007 | consumed samples: 5667840 | consumed tokens: 11607736320 | elapsed time per iteration (s): 0.75 | learning rate: 1.001E-04 | global batch size: 256 | lm loss: 2.193942E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.841 | TFLOPs: 46.95 | 7: iteration 22150/ 41007 | consumed samples: 5670400 | consumed tokens: 11612979200 | elapsed time per iteration (s): 0.76 | learning rate: 9.999E-05 | global batch size: 256 | lm loss: 2.219181E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.789 | TFLOPs: 46.12 | 7: iteration 22160/ 41007 | consumed samples: 5672960 | consumed tokens: 11618222080 | elapsed time per iteration (s): 0.76 | learning rate: 9.992E-05 | global batch size: 256 | lm loss: 2.251755E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.660 | TFLOPs: 45.97 | 7: iteration 22170/ 41007 | consumed samples: 5675520 | consumed tokens: 11623464960 | elapsed time per iteration (s): 0.76 | learning rate: 9.985E-05 | global batch size: 256 | lm loss: 2.199664E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.073 | TFLOPs: 46.03 | 7: iteration 22180/ 41007 | consumed samples: 5678080 | consumed tokens: 11628707840 | elapsed time per iteration (s): 0.75 | learning rate: 9.978E-05 | global batch size: 256 | lm loss: 2.236746E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.068 | TFLOPs: 46.85 | 7: iteration 22190/ 41007 | consumed samples: 5680640 | consumed tokens: 11633950720 | elapsed time per iteration (s): 0.75 | learning rate: 9.971E-05 | global batch size: 256 | lm loss: 2.248855E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.351 | TFLOPs: 46.61 | 7: iteration 22200/ 41007 | consumed samples: 5683200 | consumed tokens: 11639193600 | elapsed time per iteration (s): 0.75 | learning rate: 9.964E-05 | global batch size: 256 | lm loss: 2.223931E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.531 | TFLOPs: 46.77 | 7: iteration 22210/ 41007 | consumed samples: 5685760 | consumed tokens: 11644436480 | elapsed time per iteration (s): 0.77 | learning rate: 9.957E-05 | global batch size: 256 | lm loss: 2.241612E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.465 | TFLOPs: 45.80 | 7: iteration 22220/ 41007 | consumed samples: 5688320 | consumed tokens: 11649679360 | elapsed time per iteration (s): 0.76 | learning rate: 9.950E-05 | global batch size: 256 | lm loss: 2.221996E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.929 | TFLOPs: 46.55 | 7: iteration 22230/ 41007 | consumed samples: 5690880 | consumed tokens: 11654922240 | elapsed time per iteration (s): 0.76 | learning rate: 9.943E-05 | global batch size: 256 | lm loss: 2.248757E+00 | grad norm: 4.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.735 | TFLOPs: 46.39 | 7: iteration 22240/ 41007 | consumed samples: 5693440 | consumed tokens: 11660165120 | elapsed time per iteration (s): 0.77 | learning rate: 9.936E-05 | global batch size: 256 | lm loss: 2.250394E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.556 | TFLOPs: 45.95 | 7: iteration 22250/ 41007 | consumed samples: 5696000 | consumed tokens: 11665408000 | elapsed time per iteration (s): 0.76 | learning rate: 9.929E-05 | global batch size: 256 | lm loss: 2.194727E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.520 | TFLOPs: 46.50 | 7: iteration 22260/ 41007 | consumed samples: 5698560 | consumed tokens: 11670650880 | elapsed time per iteration (s): 0.78 | learning rate: 9.922E-05 | global batch size: 256 | lm loss: 2.234189E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.211 | TFLOPs: 45.22 | 7: iteration 22270/ 41007 | consumed samples: 5701120 | consumed tokens: 11675893760 | elapsed time per iteration (s): 0.78 | learning rate: 9.916E-05 | global batch size: 256 | lm loss: 2.251752E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.278 | TFLOPs: 45.37 | 7: iteration 22280/ 41007 | consumed samples: 5703680 | consumed tokens: 11681136640 | elapsed time per iteration (s): 0.78 | learning rate: 9.909E-05 | global batch size: 256 | lm loss: 2.248408E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.040 | TFLOPs: 45.06 | 7: iteration 22290/ 41007 | consumed samples: 5706240 | consumed tokens: 11686379520 | elapsed time per iteration (s): 0.77 | learning rate: 9.902E-05 | global batch size: 256 | lm loss: 2.271661E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.998 | TFLOPs: 45.60 | 7: iteration 22300/ 41007 | consumed samples: 5708800 | consumed tokens: 11691622400 | elapsed time per iteration (s): 0.76 | learning rate: 9.895E-05 | global batch size: 256 | lm loss: 2.212214E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.500 | TFLOPs: 46.08 | 7: iteration 22310/ 41007 | consumed samples: 5711360 | consumed tokens: 11696865280 | elapsed time per iteration (s): 0.76 | learning rate: 9.888E-05 | global batch size: 256 | lm loss: 2.226664E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.041 | TFLOPs: 46.30 | 7: iteration 22320/ 41007 | consumed samples: 5713920 | consumed tokens: 11702108160 | elapsed time per iteration (s): 0.75 | learning rate: 9.881E-05 | global batch size: 256 | lm loss: 2.208245E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.472 | TFLOPs: 46.77 | 7: iteration 22330/ 41007 | consumed samples: 5716480 | consumed tokens: 11707351040 | elapsed time per iteration (s): 0.78 | learning rate: 9.874E-05 | global batch size: 256 | lm loss: 2.235152E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.388 | TFLOPs: 45.11 | 7: iteration 22340/ 41007 | consumed samples: 5719040 | consumed tokens: 11712593920 | elapsed time per iteration (s): 0.75 | learning rate: 9.867E-05 | global batch size: 256 | lm loss: 2.212919E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.561 | TFLOPs: 46.64 | 7: iteration 22350/ 41007 | consumed samples: 5721600 | consumed tokens: 11717836800 | elapsed time per iteration (s): 0.76 | learning rate: 9.860E-05 | global batch size: 256 | lm loss: 2.182691E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.295 | TFLOPs: 46.06 | 7: iteration 22360/ 41007 | consumed samples: 5724160 | consumed tokens: 11723079680 | elapsed time per iteration (s): 0.75 | learning rate: 9.853E-05 | global batch size: 256 | lm loss: 2.225709E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.712 | TFLOPs: 46.80 | 7: iteration 22370/ 41007 | consumed samples: 5726720 | consumed tokens: 11728322560 | elapsed time per iteration (s): 0.78 | learning rate: 9.846E-05 | global batch size: 256 | lm loss: 2.220178E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.760 | TFLOPs: 45.16 | 7: iteration 22380/ 41007 | consumed samples: 5729280 | consumed tokens: 11733565440 | elapsed time per iteration (s): 0.77 | learning rate: 9.840E-05 | global batch size: 256 | lm loss: 2.212594E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.499 | TFLOPs: 45.95 | 7: iteration 22390/ 41007 | consumed samples: 5731840 | consumed tokens: 11738808320 | elapsed time per iteration (s): 0.76 | learning rate: 9.833E-05 | global batch size: 256 | lm loss: 2.177119E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.680 | TFLOPs: 46.38 | 7: iteration 22400/ 41007 | consumed samples: 5734400 | consumed tokens: 11744051200 | elapsed time per iteration (s): 0.78 | learning rate: 9.826E-05 | global batch size: 256 | lm loss: 2.217449E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.084 | TFLOPs: 45.20 | 7: iteration 22410/ 41007 | consumed samples: 5736960 | consumed tokens: 11749294080 | elapsed time per iteration (s): 0.77 | learning rate: 9.819E-05 | global batch size: 256 | lm loss: 2.218615E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.518 | TFLOPs: 45.40 | 7: iteration 22420/ 41007 | consumed samples: 5739520 | consumed tokens: 11754536960 | elapsed time per iteration (s): 0.76 | learning rate: 9.812E-05 | global batch size: 256 | lm loss: 2.195681E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.488 | TFLOPs: 46.08 | 7: iteration 22430/ 41007 | consumed samples: 5742080 | consumed tokens: 11759779840 | elapsed time per iteration (s): 0.75 | learning rate: 9.805E-05 | global batch size: 256 | lm loss: 2.193542E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.306 | TFLOPs: 46.74 | 7: iteration 22440/ 41007 | consumed samples: 5744640 | consumed tokens: 11765022720 | elapsed time per iteration (s): 0.76 | learning rate: 9.798E-05 | global batch size: 256 | lm loss: 2.225372E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.844 | TFLOPs: 46.41 | 7: iteration 22450/ 41007 | consumed samples: 5747200 | consumed tokens: 11770265600 | elapsed time per iteration (s): 0.76 | learning rate: 9.791E-05 | global batch size: 256 | lm loss: 2.239448E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.445 | TFLOPs: 46.21 | 7: iteration 22460/ 41007 | consumed samples: 5749760 | consumed tokens: 11775508480 | elapsed time per iteration (s): 0.75 | learning rate: 9.784E-05 | global batch size: 256 | lm loss: 2.238632E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.637 | TFLOPs: 47.06 | 7: iteration 22470/ 41007 | consumed samples: 5752320 | consumed tokens: 11780751360 | elapsed time per iteration (s): 0.77 | learning rate: 9.777E-05 | global batch size: 256 | lm loss: 2.240215E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.621 | TFLOPs: 45.69 | 7: iteration 22480/ 41007 | consumed samples: 5754880 | consumed tokens: 11785994240 | elapsed time per iteration (s): 0.77 | learning rate: 9.770E-05 | global batch size: 256 | lm loss: 2.214343E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.348 | TFLOPs: 45.93 | 7: iteration 22490/ 41007 | consumed samples: 5757440 | consumed tokens: 11791237120 | elapsed time per iteration (s): 0.76 | learning rate: 9.764E-05 | global batch size: 256 | lm loss: 2.206714E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.820 | TFLOPs: 46.54 | 7: iteration 22500/ 41007 | consumed samples: 5760000 | consumed tokens: 11796480000 | elapsed time per iteration (s): 0.76 | learning rate: 9.757E-05 | global batch size: 256 | lm loss: 2.227797E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.875 | TFLOPs: 46.41 | 7: iteration 22510/ 41007 | consumed samples: 5762560 | consumed tokens: 11801722880 | elapsed time per iteration (s): 0.76 | learning rate: 9.750E-05 | global batch size: 256 | lm loss: 2.237518E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.532 | TFLOPs: 46.50 | 7: iteration 22520/ 41007 | consumed samples: 5765120 | consumed tokens: 11806965760 | elapsed time per iteration (s): 0.77 | learning rate: 9.743E-05 | global batch size: 256 | lm loss: 2.236563E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.184 | TFLOPs: 45.77 | 7: iteration 22530/ 41007 | consumed samples: 5767680 | consumed tokens: 11812208640 | elapsed time per iteration (s): 0.76 | learning rate: 9.736E-05 | global batch size: 256 | lm loss: 2.241245E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.982 | TFLOPs: 46.42 | 7: iteration 22540/ 41007 | consumed samples: 5770240 | consumed tokens: 11817451520 | elapsed time per iteration (s): 0.76 | learning rate: 9.729E-05 | global batch size: 256 | lm loss: 2.223587E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan 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number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.030 | TFLOPs: 46.71 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 23000 | lm loss value: 2.165608E+00 | lm loss PPL: 8.719906E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 23000 to checkpoints_619m22b 0: [2022-11-28 17:54:00,083] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step23000 is begin to save! 0: [2022-11-28 17:54:00,087] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step23000/layer_01-model_00-model_states.pt... 0: [2022-11-28 17:54:00,257] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step23000/layer_01-model_00-model_states.pt. 0: [2022-11-28 17:54:00,257] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_619m22b/global_step23000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-28 17:54:01,457] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23000 is ready now! 2: [2022-11-28 17:54:01,459] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step23000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-28 17:54:01,459] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step23000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-28 17:54:01,459] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23000 is ready now! 5: [2022-11-28 17:54:01,459] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step23000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-28 17:54:01,460] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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12069109760 | elapsed time per iteration (s): 0.78 | learning rate: 9.399E-05 | global batch size: 256 | lm loss: 2.211086E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.672 | TFLOPs: 44.87 | 7: iteration 23030/ 41007 | consumed samples: 5895680 | consumed tokens: 12074352640 | elapsed time per iteration (s): 0.78 | learning rate: 9.392E-05 | global batch size: 256 | lm loss: 2.211344E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.371 | TFLOPs: 45.10 | 7: iteration 23040/ 41007 | consumed samples: 5898240 | consumed tokens: 12079595520 | elapsed time per iteration (s): 0.76 | learning rate: 9.385E-05 | global batch size: 256 | lm loss: 2.213536E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.537 | TFLOPs: 46.09 | 7: iteration 23050/ 41007 | consumed samples: 5900800 | consumed tokens: 12084838400 | elapsed time per iteration (s): 0.76 | learning rate: 9.379E-05 | global batch size: 256 | lm loss: 2.191072E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.622 | TFLOPs: 46.24 | 7: iteration 23060/ 41007 | consumed samples: 5903360 | consumed tokens: 12090081280 | elapsed time per iteration (s): 0.76 | learning rate: 9.372E-05 | global batch size: 256 | lm loss: 2.239619E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.803 | TFLOPs: 46.13 | 7: iteration 23070/ 41007 | consumed samples: 5905920 | consumed tokens: 12095324160 | elapsed time per iteration (s): 0.79 | learning rate: 9.365E-05 | global batch size: 256 | lm loss: 2.211362E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.804 | TFLOPs: 44.34 | 7: iteration 23080/ 41007 | consumed samples: 5908480 | consumed tokens: 12100567040 | elapsed time per iteration (s): 0.78 | learning rate: 9.358E-05 | global batch size: 256 | lm loss: 2.238712E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.539 | TFLOPs: 45.26 | 7: iteration 23090/ 41007 | consumed samples: 5911040 | consumed tokens: 12105809920 | elapsed time per iteration (s): 0.77 | learning rate: 9.351E-05 | global batch size: 256 | lm loss: 2.193043E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.245 | TFLOPs: 45.50 | 7: iteration 23100/ 41007 | consumed samples: 5913600 | consumed tokens: 12111052800 | elapsed time per iteration (s): 0.76 | learning rate: 9.344E-05 | global batch size: 256 | lm loss: 2.208520E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.959 | TFLOPs: 46.56 | 7: iteration 23110/ 41007 | consumed samples: 5916160 | consumed tokens: 12116295680 | elapsed time per iteration (s): 0.85 | learning rate: 9.337E-05 | global batch size: 256 | lm loss: 2.203366E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.676 | TFLOPs: 41.30 | 7: iteration 23120/ 41007 | consumed samples: 5918720 | consumed tokens: 12121538560 | elapsed time per iteration (s): 0.78 | learning rate: 9.331E-05 | global batch size: 256 | lm loss: 2.193302E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.203 | TFLOPs: 44.81 | 7: iteration 23130/ 41007 | consumed samples: 5921280 | consumed tokens: 12126781440 | elapsed time per iteration (s): 0.77 | learning rate: 9.324E-05 | global batch size: 256 | lm loss: 2.259193E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.615 | TFLOPs: 45.82 | 7: iteration 23140/ 41007 | consumed samples: 5923840 | consumed tokens: 12132024320 | elapsed time per iteration (s): 0.77 | learning rate: 9.317E-05 | global batch size: 256 | lm loss: 2.208036E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.939 | TFLOPs: 45.59 | 7: iteration 23150/ 41007 | consumed samples: 5926400 | consumed tokens: 12137267200 | elapsed time per iteration (s): 0.76 | learning rate: 9.310E-05 | global batch size: 256 | lm loss: 2.194321E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.630 | TFLOPs: 46.38 | 7: iteration 23160/ 41007 | consumed samples: 5928960 | consumed tokens: 12142510080 | elapsed time per iteration (s): 0.76 | learning rate: 9.303E-05 | global batch size: 256 | lm loss: 2.181089E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.955 | TFLOPs: 46.15 | 7: iteration 23170/ 41007 | consumed samples: 5931520 | consumed tokens: 12147752960 | elapsed time per iteration (s): 0.76 | learning rate: 9.296E-05 | global batch size: 256 | lm loss: 2.237180E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.221 | TFLOPs: 46.32 | 7: iteration 23180/ 41007 | consumed samples: 5934080 | consumed tokens: 12152995840 | elapsed time per iteration (s): 0.75 | learning rate: 9.290E-05 | global batch size: 256 | lm loss: 2.221952E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.833 | TFLOPs: 46.68 | 7: iteration 23190/ 41007 | consumed samples: 5936640 | consumed tokens: 12158238720 | elapsed time per iteration (s): 0.77 | learning rate: 9.283E-05 | global batch size: 256 | lm loss: 2.243497E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.173 | TFLOPs: 45.49 | 7: iteration 23200/ 41007 | consumed samples: 5939200 | consumed tokens: 12163481600 | elapsed time per iteration (s): 0.78 | learning rate: 9.276E-05 | global batch size: 256 | lm loss: 2.221283E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.001 | TFLOPs: 45.19 | 7: iteration 23210/ 41007 | consumed samples: 5941760 | consumed tokens: 12168724480 | elapsed time per iteration (s): 0.77 | learning rate: 9.269E-05 | global batch size: 256 | lm loss: 2.202818E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.422 | TFLOPs: 45.39 | 7: iteration 23220/ 41007 | consumed samples: 5944320 | consumed tokens: 12173967360 | elapsed time per iteration (s): 0.76 | learning rate: 9.262E-05 | global batch size: 256 | lm loss: 2.216768E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.429 | TFLOPs: 46.21 | 7: iteration 23230/ 41007 | consumed samples: 5946880 | consumed tokens: 12179210240 | elapsed time per iteration (s): 0.76 | learning rate: 9.255E-05 | global batch size: 256 | lm loss: 2.208313E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.582 | TFLOPs: 46.09 | 7: iteration 23240/ 41007 | consumed samples: 5949440 | consumed tokens: 12184453120 | elapsed time per iteration (s): 0.77 | learning rate: 9.249E-05 | global batch size: 256 | lm loss: 2.212235E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.245 | TFLOPs: 45.91 | 7: iteration 23250/ 41007 | consumed samples: 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iteration 23280/ 41007 | consumed samples: 5959680 | consumed tokens: 12205424640 | elapsed time per iteration (s): 0.78 | learning rate: 9.221E-05 | global batch size: 256 | lm loss: 2.219405E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.026 | TFLOPs: 44.92 | 7: iteration 23290/ 41007 | consumed samples: 5962240 | consumed tokens: 12210667520 | elapsed time per iteration (s): 0.78 | learning rate: 9.214E-05 | global batch size: 256 | lm loss: 2.215379E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.294 | TFLOPs: 44.96 | 7: iteration 23300/ 41007 | consumed samples: 5964800 | consumed tokens: 12215910400 | elapsed time per iteration (s): 0.75 | learning rate: 9.208E-05 | global batch size: 256 | lm loss: 2.237461E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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size: 256 | lm loss: 2.217127E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.447 | TFLOPs: 46.08 | 7: iteration 23400/ 41007 | consumed samples: 5990400 | consumed tokens: 12268339200 | elapsed time per iteration (s): 0.75 | learning rate: 9.139E-05 | global batch size: 256 | lm loss: 2.186488E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.347 | TFLOPs: 46.61 | 7: iteration 23410/ 41007 | consumed samples: 5992960 | consumed tokens: 12273582080 | elapsed time per iteration (s): 0.77 | learning rate: 9.133E-05 | global batch size: 256 | lm loss: 2.211453E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.697 | TFLOPs: 45.56 | 7: iteration 23420/ 41007 | consumed samples: 5995520 | consumed tokens: 12278824960 | elapsed time per iteration (s): 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TFLOPs: 46.30 | 7: iteration 23510/ 41007 | consumed samples: 6018560 | consumed tokens: 12326010880 | elapsed time per iteration (s): 0.76 | learning rate: 9.065E-05 | global batch size: 256 | lm loss: 2.189157E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.125 | TFLOPs: 46.17 | 7: iteration 23520/ 41007 | consumed samples: 6021120 | consumed tokens: 12331253760 | elapsed time per iteration (s): 0.76 | learning rate: 9.058E-05 | global batch size: 256 | lm loss: 2.237057E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.717 | TFLOPs: 46.25 | 7: iteration 23530/ 41007 | consumed samples: 6023680 | consumed tokens: 12336496640 | elapsed time per iteration (s): 0.75 | learning rate: 9.051E-05 | global batch size: 256 | lm loss: 2.222291E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.421 | TFLOPs: 46.76 | 7: iteration 23540/ 41007 | consumed samples: 6026240 | consumed tokens: 12341739520 | elapsed time per iteration (s): 0.76 | learning rate: 9.044E-05 | global batch size: 256 | lm loss: 2.298337E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.062 | TFLOPs: 46.02 | 7: iteration 23550/ 41007 | consumed samples: 6028800 | consumed tokens: 12346982400 | elapsed time per iteration (s): 0.77 | learning rate: 9.037E-05 | global batch size: 256 | lm loss: 2.251349E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.989 | TFLOPs: 45.60 | 7: iteration 23560/ 41007 | consumed samples: 6031360 | consumed tokens: 12352225280 | elapsed time per iteration (s): 0.77 | learning rate: 9.031E-05 | global batch size: 256 | lm loss: 2.242255E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.718 | TFLOPs: 45.43 | 7: iteration 23570/ 41007 | consumed samples: 6033920 | consumed tokens: 12357468160 | elapsed time per iteration (s): 0.76 | learning rate: 9.024E-05 | global batch size: 256 | lm loss: 2.210898E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.989 | TFLOPs: 46.01 | 7: iteration 23580/ 41007 | consumed samples: 6036480 | consumed tokens: 12362711040 | elapsed time per iteration (s): 0.76 | learning rate: 9.017E-05 | global batch size: 256 | lm loss: 2.205019E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.594 | TFLOPs: 46.23 | 7: iteration 23590/ 41007 | consumed samples: 6039040 | consumed tokens: 12367953920 | elapsed time per iteration (s): 0.76 | learning rate: 9.010E-05 | global batch size: 256 | lm loss: 2.188672E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.566 | TFLOPs: 46.09 | 7: iteration 23600/ 41007 | consumed samples: 6041600 | consumed tokens: 12373196800 | elapsed time per iteration (s): 0.77 | learning rate: 9.003E-05 | global batch size: 256 | lm loss: 2.217437E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.612 | TFLOPs: 45.41 | 7: iteration 23610/ 41007 | consumed samples: 6044160 | consumed tokens: 12378439680 | elapsed time per iteration (s): 0.75 | learning rate: 8.997E-05 | global batch size: 256 | lm loss: 2.228564E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.108 | TFLOPs: 46.85 | 7: iteration 23620/ 41007 | consumed samples: 6046720 | consumed tokens: 12383682560 | elapsed time per iteration (s): 0.75 | learning rate: 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iteration 23710/ 41007 | consumed samples: 6069760 | consumed tokens: 12430868480 | elapsed time per iteration (s): 0.76 | learning rate: 8.929E-05 | global batch size: 256 | lm loss: 2.212919E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.348 | TFLOPs: 46.47 | 7: iteration 23720/ 41007 | consumed samples: 6072320 | consumed tokens: 12436111360 | elapsed time per iteration (s): 0.76 | learning rate: 8.922E-05 | global batch size: 256 | lm loss: 2.208448E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.468 | TFLOPs: 46.22 | 7: iteration 23730/ 41007 | consumed samples: 6074880 | consumed tokens: 12441354240 | elapsed time per iteration (s): 0.76 | learning rate: 8.915E-05 | global batch size: 256 | lm loss: 2.233209E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.990 | TFLOPs: 46.56 | 7: iteration 23740/ 41007 | consumed samples: 6077440 | consumed tokens: 12446597120 | elapsed time per iteration (s): 0.78 | learning rate: 8.908E-05 | global batch size: 256 | lm loss: 2.177826E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.783 | TFLOPs: 45.16 | 7: iteration 23750/ 41007 | consumed samples: 6080000 | consumed tokens: 12451840000 | elapsed time per iteration (s): 0.78 | learning rate: 8.902E-05 | global batch size: 256 | lm loss: 2.187501E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.447 | TFLOPs: 44.98 | 7: iteration 23760/ 41007 | consumed samples: 6082560 | consumed tokens: 12457082880 | elapsed time per iteration (s): 0.76 | learning rate: 8.895E-05 | global batch size: 256 | lm loss: 2.207644E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.604 | TFLOPs: 46.51 | 7: iteration 23770/ 41007 | consumed samples: 6085120 | consumed tokens: 12462325760 | elapsed time per iteration (s): 0.76 | learning rate: 8.888E-05 | global batch size: 256 | lm loss: 2.230896E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.805 | TFLOPs: 46.13 | 7: iteration 23780/ 41007 | consumed samples: 6087680 | consumed tokens: 12467568640 | elapsed time per iteration (s): 0.77 | learning rate: 8.881E-05 | global batch size: 256 | lm loss: 2.234630E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.753 | TFLOPs: 45.57 | 7: iteration 23790/ 41007 | consumed samples: 6090240 | consumed tokens: 12472811520 | elapsed time per iteration (s): 0.77 | learning rate: 8.875E-05 | global batch size: 256 | lm loss: 2.239874E+00 | grad norm: 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size: 256 | lm loss: 2.203503E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.544 | TFLOPs: 46.09 | 7: iteration 23830/ 41007 | consumed samples: 6100480 | consumed tokens: 12493783040 | elapsed time per iteration (s): 0.79 | learning rate: 8.847E-05 | global batch size: 256 | lm loss: 2.213008E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.862 | TFLOPs: 44.49 | 7: iteration 23840/ 41007 | consumed samples: 6103040 | consumed tokens: 12499025920 | elapsed time per iteration (s): 0.75 | learning rate: 8.841E-05 | global batch size: 256 | lm loss: 2.182634E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.433 | TFLOPs: 46.62 | 7: iteration 23850/ 41007 | consumed samples: 6105600 | consumed tokens: 12504268800 | elapsed time per iteration (s): 0.76 | learning rate: 8.834E-05 | global batch size: 256 | lm loss: 2.216955E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.409 | TFLOPs: 46.07 | 7: iteration 23860/ 41007 | consumed samples: 6108160 | consumed tokens: 12509511680 | elapsed time per iteration (s): 0.76 | learning rate: 8.827E-05 | global batch size: 256 | lm loss: 2.188712E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.282 | TFLOPs: 46.47 | 7: iteration 23870/ 41007 | consumed samples: 6110720 | consumed tokens: 12514754560 | elapsed time per iteration (s): 0.75 | learning rate: 8.820E-05 | global batch size: 256 | lm loss: 2.210898E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.132 | TFLOPs: 46.72 | 7: iteration 23880/ 41007 | consumed samples: 6113280 | consumed tokens: 12519997440 | elapsed time per iteration (s): 0.76 | learning rate: 8.814E-05 | global batch size: 256 | lm loss: 2.239810E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.516 | TFLOPs: 46.09 | 7: iteration 23890/ 41007 | consumed samples: 6115840 | consumed tokens: 12525240320 | elapsed time per iteration (s): 0.75 | learning rate: 8.807E-05 | global batch size: 256 | lm loss: 2.217442E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.971 | TFLOPs: 46.84 | 7: iteration 23900/ 41007 | consumed samples: 6118400 | consumed tokens: 12530483200 | elapsed time per iteration (s): 0.76 | learning rate: 8.800E-05 | global batch size: 256 | lm loss: 2.250494E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.690 | TFLOPs: 46.38 | 7: iteration 23910/ 41007 | consumed samples: 6120960 | consumed tokens: 12535726080 | elapsed time per iteration (s): 0.77 | learning rate: 8.793E-05 | global batch size: 256 | lm loss: 2.206659E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.610 | TFLOPs: 45.96 | 7: iteration 23920/ 41007 | consumed samples: 6123520 | consumed tokens: 12540968960 | elapsed time per iteration (s): 0.76 | learning rate: 8.787E-05 | global batch size: 256 | lm loss: 2.192735E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.905 | TFLOPs: 46.28 | 7: iteration 23930/ 41007 | consumed samples: 6126080 | consumed tokens: 12546211840 | elapsed time per iteration (s): 0.77 | learning rate: 8.780E-05 | global batch size: 256 | lm loss: 2.228955E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.832 | TFLOPs: 45.58 | 7: iteration 23940/ 41007 | consumed samples: 6128640 | consumed tokens: 12551454720 | elapsed time per iteration (s): 0.77 | learning rate: 8.773E-05 | global batch size: 256 | lm loss: 2.208138E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.618 | TFLOPs: 45.55 | 7: iteration 23950/ 41007 | consumed samples: 6131200 | consumed tokens: 12556697600 | elapsed time per iteration (s): 0.77 | learning rate: 8.766E-05 | global batch size: 256 | lm loss: 2.207832E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.753 | TFLOPs: 45.84 | 7: iteration 23960/ 41007 | consumed samples: 6133760 | consumed tokens: 12561940480 | elapsed time per iteration (s): 0.75 | learning rate: 8.760E-05 | global batch size: 256 | lm loss: 2.188456E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.406 | TFLOPs: 46.76 | 7: iteration 23970/ 41007 | consumed samples: 6136320 | consumed tokens: 12567183360 | elapsed time per iteration (s): 0.76 | learning rate: 8.753E-05 | global batch size: 256 | lm loss: 2.221865E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.639 | TFLOPs: 46.24 | 7: iteration 23980/ 41007 | consumed samples: 6138880 | consumed tokens: 12572426240 | elapsed time per iteration (s): 0.75 | learning rate: 8.746E-05 | global batch size: 256 | lm loss: 2.221147E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.458 | TFLOPs: 46.90 | 7: iteration 23990/ 41007 | consumed samples: 6141440 | consumed tokens: 12577669120 | elapsed time per iteration (s): 0.77 | learning rate: 8.739E-05 | global batch size: 256 | lm loss: 2.220996E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.387 | TFLOPs: 45.66 | 0: [2022-11-28 18:06:47,971] [INFO] [logging.py:68:log_dist] [Rank 0] step=24000, skipped=0, lr=[8.73270979953715e-05, 8.73270979953715e-05, 8.73270979953715e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 24000/ 41007 | consumed samples: 6144000 | consumed tokens: 12582912000 | elapsed time per iteration (s): 0.77 | learning rate: 8.733E-05 | global batch size: 256 | lm loss: 2.208967E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.027 | TFLOPs: 45.47 | 0: steps: 24000 loss: 2.2878 iter time (s): 0.763 samples/sec: 335.692 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 24000 | lm loss value: 2.154446E+00 | lm loss PPL: 8.623109E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 24000 to checkpoints_619m22b 0: [2022-11-28 18:06:48,245] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step24000 is begin to save! 0: [2022-11-28 18:06:48,251] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step24000/layer_01-model_00-model_states.pt... 0: [2022-11-28 18:06:48,418] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step24000/layer_01-model_00-model_states.pt. 0: [2022-11-28 18:06:48,418] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step24000/layer_03-model_00-model_states.pt... 0: [2022-11-28 18:06:48,471] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step24000/layer_03-model_00-model_states.pt. 0: [2022-11-28 18:06:48,471] [INFO] [torch_checkpoint_engine.py:15:save] 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checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step24000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 1: [2022-11-28 18:06:49,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step24000 is ready now! 0: successfully saved checkpoint at iteration 24000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1697.47 7: iteration 24010/ 41007 | consumed samples: 6146560 | consumed tokens: 12588154880 | elapsed time per iteration (s): 0.97 | learning rate: 8.726E-05 | global batch size: 256 | lm loss: 2.193168E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.316 | TFLOPs: 36.31 | 7: iteration 24020/ 41007 | consumed samples: 6149120 | consumed tokens: 12593397760 | elapsed time per iteration (s): 0.76 | learning rate: 8.719E-05 | global batch size: 256 | lm loss: 2.208555E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.582 | TFLOPs: 46.09 | 7: iteration 24030/ 41007 | consumed samples: 6151680 | consumed tokens: 12598640640 | elapsed time per iteration (s): 0.79 | learning rate: 8.712E-05 | global batch size: 256 | lm loss: 2.228451E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.510 | TFLOPs: 44.71 | 7: iteration 24040/ 41007 | consumed samples: 6154240 | consumed tokens: 12603883520 | elapsed time per iteration (s): 0.76 | learning rate: 8.706E-05 | global batch size: 256 | lm loss: 2.206482E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.745 | TFLOPs: 46.53 | 7: iteration 24050/ 41007 | consumed samples: 6156800 | consumed tokens: 12609126400 | elapsed time per iteration (s): 0.77 | learning rate: 8.699E-05 | global batch size: 256 | lm loss: 2.222039E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.173 | TFLOPs: 45.76 | 7: iteration 24060/ 41007 | consumed samples: 6159360 | consumed tokens: 12614369280 | elapsed time per iteration (s): 0.75 | learning rate: 8.692E-05 | global batch size: 256 | lm loss: 2.218517E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.113 | TFLOPs: 46.72 | 7: iteration 24070/ 41007 | consumed samples: 6161920 | consumed tokens: 12619612160 | elapsed time per iteration (s): 0.77 | learning rate: 8.686E-05 | global batch size: 256 | lm loss: 2.201286E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.713 | TFLOPs: 45.70 | 7: iteration 24080/ 41007 | consumed samples: 6164480 | consumed tokens: 12624855040 | elapsed time per iteration (s): 0.76 | learning rate: 8.679E-05 | global batch size: 256 | lm loss: 2.227938E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.312 | TFLOPs: 46.33 | 7: iteration 24090/ 41007 | consumed samples: 6167040 | consumed tokens: 12630097920 | elapsed time per iteration (s): 0.75 | learning rate: 8.672E-05 | global batch size: 256 | lm loss: 2.205500E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.331 | TFLOPs: 46.61 | 7: iteration 24100/ 41007 | consumed samples: 6169600 | consumed tokens: 12635340800 | elapsed time per iteration (s): 0.76 | learning rate: 8.665E-05 | global batch size: 256 | lm loss: 2.184333E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.049 | TFLOPs: 46.02 | 7: iteration 24110/ 41007 | consumed samples: 6172160 | consumed tokens: 12640583680 | elapsed time per iteration (s): 0.76 | learning rate: 8.659E-05 | global batch size: 256 | lm loss: 2.222161E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.911 | TFLOPs: 46.14 | 7: iteration 24120/ 41007 | consumed samples: 6174720 | consumed tokens: 12645826560 | elapsed time per iteration (s): 0.85 | learning rate: 8.652E-05 | global batch size: 256 | lm loss: 2.220043E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.782 | TFLOPs: 41.59 | 7: iteration 24130/ 41007 | consumed samples: 6177280 | consumed tokens: 12651069440 | elapsed time per iteration (s): 0.77 | learning rate: 8.645E-05 | global batch size: 256 | lm loss: 2.217031E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.067 | TFLOPs: 45.47 | 7: iteration 24140/ 41007 | consumed samples: 6179840 | consumed tokens: 12656312320 | elapsed time per iteration (s): 0.80 | learning rate: 8.638E-05 | global batch size: 256 | lm loss: 2.184607E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.276 | TFLOPs: 43.72 | 7: iteration 24150/ 41007 | consumed samples: 6182400 | consumed tokens: 12661555200 | elapsed time per iteration (s): 0.75 | learning rate: 8.632E-05 | global batch size: 256 | lm loss: 2.213790E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.766 | TFLOPs: 47.08 | 7: iteration 24160/ 41007 | consumed samples: 6184960 | consumed tokens: 12666798080 | elapsed time per iteration (s): 0.77 | learning rate: 8.625E-05 | global batch size: 256 | lm loss: 2.219913E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.383 | TFLOPs: 45.93 | 7: iteration 24170/ 41007 | consumed samples: 6187520 | consumed tokens: 12672040960 | elapsed time per iteration (s): 0.78 | learning rate: 8.618E-05 | global batch size: 256 | lm loss: 2.206143E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.142 | TFLOPs: 45.35 | 7: iteration 24180/ 41007 | consumed samples: 6190080 | consumed tokens: 12677283840 | elapsed time per iteration (s): 0.76 | learning rate: 8.612E-05 | global batch size: 256 | lm loss: 2.216522E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.755 | TFLOPs: 46.26 | 7: iteration 24190/ 41007 | consumed samples: 6192640 | consumed tokens: 12682526720 | elapsed time per iteration (s): 0.76 | learning rate: 8.605E-05 | global batch size: 256 | lm loss: 2.204935E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.209 | TFLOPs: 46.18 | 7: iteration 24200/ 41007 | consumed samples: 6195200 | consumed tokens: 12687769600 | elapsed time per iteration (s): 0.76 | learning rate: 8.598E-05 | global batch size: 256 | lm loss: 2.225168E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.135 | TFLOPs: 46.03 | 7: iteration 24210/ 41007 | consumed samples: 6197760 | consumed tokens: 12693012480 | elapsed time per iteration (s): 0.77 | learning rate: 8.591E-05 | global batch size: 256 | lm loss: 2.208560E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.261 | TFLOPs: 45.91 | 7: iteration 24220/ 41007 | consumed samples: 6200320 | consumed tokens: 12698255360 | elapsed time per iteration (s): 0.80 | learning rate: 8.585E-05 | global batch size: 256 | lm loss: 2.184278E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.179 | TFLOPs: 43.70 | 7: iteration 24230/ 41007 | consumed samples: 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iteration 24260/ 41007 | consumed samples: 6210560 | consumed tokens: 12719226880 | elapsed time per iteration (s): 0.76 | learning rate: 8.558E-05 | global batch size: 256 | lm loss: 2.206187E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.776 | TFLOPs: 46.12 | 7: iteration 24270/ 41007 | consumed samples: 6213120 | consumed tokens: 12724469760 | elapsed time per iteration (s): 0.76 | learning rate: 8.551E-05 | global batch size: 256 | lm loss: 2.226746E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.082 | TFLOPs: 46.44 | 7: iteration 24280/ 41007 | consumed samples: 6215680 | consumed tokens: 12729712640 | elapsed time per iteration (s): 0.75 | learning rate: 8.545E-05 | global batch size: 256 | lm loss: 2.214636E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.219 | TFLOPs: 46.59 | 7: iteration 24290/ 41007 | consumed samples: 6218240 | consumed tokens: 12734955520 | elapsed time per iteration (s): 0.77 | learning rate: 8.538E-05 | global batch size: 256 | lm loss: 2.180776E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.751 | TFLOPs: 45.71 | 7: iteration 24300/ 41007 | consumed samples: 6220800 | consumed tokens: 12740198400 | elapsed time per iteration (s): 0.77 | learning rate: 8.531E-05 | global batch size: 256 | lm loss: 2.201223E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.039 | TFLOPs: 45.61 | 7: iteration 24310/ 41007 | consumed samples: 6223360 | consumed tokens: 12745441280 | elapsed time per iteration (s): 0.76 | learning rate: 8.524E-05 | global batch size: 256 | lm loss: 2.197620E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.375 | TFLOPs: 46.48 | 7: iteration 24320/ 41007 | consumed samples: 6225920 | consumed tokens: 12750684160 | elapsed time per iteration (s): 0.75 | learning rate: 8.518E-05 | global batch size: 256 | lm loss: 2.209634E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.510 | TFLOPs: 46.91 | 7: iteration 24330/ 41007 | consumed samples: 6228480 | consumed tokens: 12755927040 | elapsed time per iteration (s): 0.78 | learning rate: 8.511E-05 | global batch size: 256 | lm loss: 2.208228E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.625 | TFLOPs: 45.28 | 7: iteration 24340/ 41007 | consumed samples: 6231040 | consumed tokens: 12761169920 | elapsed time per iteration (s): 0.78 | learning rate: 8.504E-05 | global batch size: 256 | lm loss: 2.218304E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.535 | TFLOPs: 44.85 | 7: iteration 24350/ 41007 | consumed samples: 6233600 | consumed tokens: 12766412800 | elapsed time per iteration (s): 0.77 | learning rate: 8.498E-05 | global batch size: 256 | lm loss: 2.213015E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.557 | TFLOPs: 45.82 | 7: iteration 24360/ 41007 | consumed samples: 6236160 | consumed tokens: 12771655680 | elapsed time per iteration (s): 0.77 | learning rate: 8.491E-05 | global batch size: 256 | lm loss: 2.204018E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.077 | TFLOPs: 45.89 | 7: iteration 24370/ 41007 | consumed samples: 6238720 | consumed tokens: 12776898560 | elapsed time per iteration (s): 0.76 | learning rate: 8.484E-05 | global batch size: 256 | lm loss: 2.216032E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.650 | TFLOPs: 46.52 | 7: iteration 24380/ 41007 | consumed samples: 6241280 | consumed tokens: 12782141440 | elapsed time per iteration (s): 0.77 | learning rate: 8.478E-05 | global batch size: 256 | lm loss: 2.178184E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.519 | TFLOPs: 45.54 | 7: iteration 24390/ 41007 | consumed samples: 6243840 | consumed tokens: 12787384320 | elapsed time per iteration (s): 0.77 | learning rate: 8.471E-05 | global batch size: 256 | lm loss: 2.185911E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.610 | TFLOPs: 45.55 | 7: iteration 24400/ 41007 | consumed samples: 6246400 | consumed tokens: 12792627200 | elapsed time per iteration (s): 0.78 | learning rate: 8.464E-05 | global batch size: 256 | lm loss: 2.224058E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.825 | TFLOPs: 45.17 | 7: iteration 24410/ 41007 | consumed samples: 6248960 | consumed tokens: 12797870080 | elapsed time per iteration (s): 0.77 | learning rate: 8.458E-05 | global batch size: 256 | lm loss: 2.214797E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.335 | TFLOPs: 45.92 | 7: iteration 24420/ 41007 | consumed samples: 6251520 | consumed tokens: 12803112960 | elapsed time per iteration (s): 0.77 | learning rate: 8.451E-05 | global batch size: 256 | lm loss: 2.225282E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.374 | TFLOPs: 45.93 | 7: iteration 24430/ 41007 | consumed samples: 6254080 | consumed tokens: 12808355840 | elapsed time per iteration (s): 0.75 | learning rate: 8.444E-05 | global batch size: 256 | lm loss: 2.225534E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.184 | TFLOPs: 47.00 | 7: iteration 24440/ 41007 | consumed samples: 6256640 | consumed tokens: 12813598720 | elapsed time per iteration (s): 0.75 | learning rate: 8.438E-05 | global batch size: 256 | lm loss: 2.213030E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.307 | TFLOPs: 46.74 | 7: iteration 24450/ 41007 | consumed samples: 6259200 | consumed tokens: 12818841600 | elapsed time per iteration (s): 0.77 | learning rate: 8.431E-05 | global batch size: 256 | lm loss: 2.193475E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.600 | TFLOPs: 45.55 | 7: iteration 24460/ 41007 | consumed samples: 6261760 | consumed tokens: 12824084480 | elapsed time per iteration (s): 0.77 | learning rate: 8.424E-05 | global batch size: 256 | lm loss: 2.232034E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.520 | TFLOPs: 45.67 | 7: iteration 24470/ 41007 | consumed samples: 6264320 | consumed tokens: 12829327360 | elapsed time per iteration (s): 0.76 | learning rate: 8.418E-05 | global batch size: 256 | lm loss: 2.209080E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.593 | TFLOPs: 46.10 | 7: iteration 24480/ 41007 | consumed samples: 6266880 | consumed tokens: 12834570240 | elapsed time per iteration (s): 0.77 | learning rate: 8.411E-05 | global batch size: 256 | lm loss: 2.225167E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.431 | 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2.203454E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.823 | TFLOPs: 46.13 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 25000 | lm loss value: 2.157773E+00 | lm loss PPL: 8.651849E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 25000 to checkpoints_619m22b 0: [2022-11-28 18:19:40,948] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step25000 is begin to save! 0: [2022-11-28 18:19:40,966] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step25000/layer_01-model_00-model_states.pt... 0: [2022-11-28 18:19:41,272] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/layer_01-model_00-model_states.pt. 0: [2022-11-28 18:19:41,273] [INFO] 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checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-28 18:19:43,213] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-28 18:19:43,213] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-28 18:19:43,213] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-28 18:19:43,213] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-28 18:19:43,213] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-28 18:19:43,213] [INFO] 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[2022-11-28 18:19:43,264] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-28 18:19:43,264] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-28 18:19:43,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-28 18:19:43,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-28 18:19:43,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-28 18:19:43,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-28 18:19:43,308] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-28 18:19:43,308] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-28 18:19:43,308] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-28 18:19:43,308] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-28 18:19:43,308] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 6: [2022-11-28 18:19:43,308] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-28 18:19:43,308] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 6: [2022-11-28 18:19:43,308] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 6: [2022-11-28 18:19:43,308] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 6: [2022-11-28 18:19:43,308] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 6: [2022-11-28 18:19:43,308] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 6: [2022-11-28 18:19:43,308] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 6: [2022-11-28 18:19:43,332] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-28 18:19:43,332] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step25000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-28 18:19:43,332] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step25000 is ready now! 0: successfully saved checkpoint at iteration 25000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 2426.89 7: iteration 25010/ 41007 | consumed samples: 6402560 | consumed tokens: 13112442880 | elapsed time per iteration (s): 1.03 | learning rate: 8.060E-05 | global batch size: 256 | lm loss: 2.192553E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 248.859 | TFLOPs: 34.18 | 7: iteration 25020/ 41007 | consumed samples: 6405120 | consumed tokens: 13117685760 | elapsed time per iteration (s): 0.76 | learning rate: 8.053E-05 | global batch size: 256 | lm loss: 2.197541E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.908 | TFLOPs: 46.28 | 7: iteration 25030/ 41007 | consumed samples: 6407680 | consumed tokens: 13122928640 | elapsed time per iteration (s): 0.77 | learning rate: 8.046E-05 | global batch size: 256 | lm loss: 2.200802E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.646 | TFLOPs: 45.83 | 7: iteration 25040/ 41007 | consumed samples: 6410240 | consumed tokens: 13128171520 | elapsed time per iteration (s): 0.77 | learning rate: 8.040E-05 | global batch size: 256 | lm loss: 2.217123E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.946 | TFLOPs: 45.46 | 7: iteration 25050/ 41007 | consumed samples: 6412800 | consumed tokens: 13133414400 | elapsed time per iteration (s): 0.76 | learning rate: 8.033E-05 | global batch size: 256 | lm loss: 2.222689E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.012 | TFLOPs: 46.29 | 7: iteration 25060/ 41007 | consumed samples: 6415360 | consumed tokens: 13138657280 | elapsed time per iteration (s): 0.77 | learning rate: 8.027E-05 | global batch size: 256 | lm loss: 2.209558E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.346 | TFLOPs: 45.65 | 7: iteration 25070/ 41007 | consumed samples: 6417920 | consumed tokens: 13143900160 | elapsed time per iteration (s): 0.77 | learning rate: 8.020E-05 | global batch size: 256 | lm loss: 2.198245E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.433 | TFLOPs: 45.53 | 7: iteration 25080/ 41007 | consumed samples: 6420480 | consumed tokens: 13149143040 | elapsed time per iteration (s): 0.76 | learning rate: 8.014E-05 | global batch size: 256 | lm loss: 2.218168E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.189 | TFLOPs: 46.32 | 7: iteration 25090/ 41007 | consumed samples: 6423040 | consumed tokens: 13154385920 | elapsed time per iteration (s): 0.76 | learning rate: 8.007E-05 | global batch size: 256 | lm loss: 2.205563E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.977 | TFLOPs: 46.29 | 7: iteration 25100/ 41007 | consumed samples: 6425600 | consumed tokens: 13159628800 | elapsed time per iteration (s): 0.76 | learning rate: 8.000E-05 | global batch size: 256 | lm loss: 2.211135E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.013 | TFLOPs: 46.15 | 7: iteration 25110/ 41007 | consumed samples: 6428160 | consumed tokens: 13164871680 | elapsed time per iteration (s): 0.75 | learning rate: 7.994E-05 | global batch size: 256 | lm loss: 2.200714E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.537 | TFLOPs: 46.64 | 7: iteration 25120/ 41007 | consumed samples: 6430720 | consumed tokens: 13170114560 | elapsed time per iteration (s): 0.79 | learning rate: 7.987E-05 | global batch size: 256 | lm loss: 2.190367E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.935 | TFLOPs: 44.36 | 7: iteration 25130/ 41007 | consumed samples: 6433280 | consumed tokens: 13175357440 | elapsed time per iteration (s): 0.77 | learning rate: 7.981E-05 | global batch size: 256 | lm loss: 2.202929E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.453 | TFLOPs: 45.67 | 7: iteration 25140/ 41007 | consumed samples: 6435840 | consumed tokens: 13180600320 | elapsed time per iteration (s): 0.76 | learning rate: 7.974E-05 | global batch size: 256 | lm loss: 2.199261E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.070 | TFLOPs: 46.44 | 7: iteration 25150/ 41007 | consumed samples: 6438400 | consumed tokens: 13185843200 | elapsed time per iteration (s): 0.76 | learning rate: 7.968E-05 | global batch size: 256 | lm loss: 2.217904E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.879 | TFLOPs: 46.41 | 7: iteration 25160/ 41007 | consumed samples: 6440960 | consumed tokens: 13191086080 | elapsed time per iteration (s): 0.77 | learning rate: 7.961E-05 | global batch size: 256 | lm loss: 2.221082E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.014 | TFLOPs: 45.60 | 7: iteration 25170/ 41007 | consumed samples: 6443520 | consumed tokens: 13196328960 | elapsed time per iteration (s): 0.77 | learning rate: 7.955E-05 | global batch size: 256 | lm loss: 2.207905E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.248 | TFLOPs: 45.77 | 7: iteration 25180/ 41007 | consumed samples: 6446080 | consumed tokens: 13201571840 | elapsed time per iteration (s): 0.77 | learning rate: 7.948E-05 | global batch size: 256 | lm loss: 2.197069E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.800 | TFLOPs: 45.71 | 7: iteration 25190/ 41007 | consumed samples: 6448640 | consumed tokens: 13206814720 | elapsed time per iteration (s): 0.77 | learning rate: 7.941E-05 | global batch size: 256 | lm loss: 2.219790E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.959 | TFLOPs: 45.87 | 7: iteration 25200/ 41007 | consumed samples: 6451200 | consumed tokens: 13212057600 | elapsed time per iteration (s): 0.76 | learning rate: 7.935E-05 | global batch size: 256 | lm loss: 2.206857E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.061 | TFLOPs: 46.30 | 7: iteration 25210/ 41007 | consumed samples: 6453760 | consumed tokens: 13217300480 | elapsed time per iteration (s): 0.76 | learning rate: 7.928E-05 | global batch size: 256 | lm loss: 2.216942E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.366 | TFLOPs: 46.07 | 7: iteration 25220/ 41007 | consumed samples: 6456320 | consumed tokens: 13222543360 | elapsed time per iteration (s): 0.78 | learning rate: 7.922E-05 | global batch size: 256 | lm loss: 2.218353E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.005 | TFLOPs: 44.92 | 7: iteration 25230/ 41007 | consumed samples: 6458880 | consumed tokens: 13227786240 | elapsed time per iteration (s): 0.77 | learning rate: 7.915E-05 | global batch size: 256 | lm loss: 2.192018E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.646 | TFLOPs: 45.83 | 7: iteration 25240/ 41007 | consumed samples: 6461440 | consumed tokens: 13233029120 | elapsed time per iteration (s): 0.76 | learning rate: 7.909E-05 | global batch size: 256 | lm loss: 2.207092E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.779 | TFLOPs: 46.40 | 7: iteration 25250/ 41007 | consumed samples: 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iteration 25280/ 41007 | consumed samples: 6471680 | consumed tokens: 13254000640 | elapsed time per iteration (s): 0.75 | learning rate: 7.883E-05 | global batch size: 256 | lm loss: 2.227968E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.129 | TFLOPs: 46.72 | 7: iteration 25290/ 41007 | consumed samples: 6474240 | consumed tokens: 13259243520 | elapsed time per iteration (s): 0.78 | learning rate: 7.876E-05 | global batch size: 256 | lm loss: 2.151629E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.223 | TFLOPs: 45.36 | 7: iteration 25300/ 41007 | consumed samples: 6476800 | consumed tokens: 13264486400 | elapsed time per iteration (s): 0.76 | learning rate: 7.869E-05 | global batch size: 256 | lm loss: 2.213900E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.730 | TFLOPs: 46.39 | 7: iteration 25310/ 41007 | consumed samples: 6479360 | consumed tokens: 13269729280 | elapsed time per iteration (s): 0.78 | learning rate: 7.863E-05 | global batch size: 256 | lm loss: 2.195271E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.055 | TFLOPs: 44.92 | 7: iteration 25320/ 41007 | consumed samples: 6481920 | consumed tokens: 13274972160 | elapsed time per iteration (s): 0.75 | learning rate: 7.856E-05 | global batch size: 256 | lm loss: 2.201322E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.044 | TFLOPs: 46.71 | 7: iteration 25330/ 41007 | consumed samples: 6484480 | consumed tokens: 13280215040 | elapsed time per iteration (s): 0.77 | learning rate: 7.850E-05 | global batch size: 256 | lm loss: 2.202631E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.301 | TFLOPs: 45.78 | 7: iteration 25340/ 41007 | consumed samples: 6487040 | consumed tokens: 13285457920 | elapsed time per iteration (s): 0.78 | learning rate: 7.843E-05 | global batch size: 256 | lm loss: 2.207050E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.154 | TFLOPs: 45.21 | 7: iteration 25350/ 41007 | consumed samples: 6489600 | consumed tokens: 13290700800 | elapsed time per iteration (s): 0.77 | learning rate: 7.837E-05 | global batch size: 256 | lm loss: 2.196129E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.970 | TFLOPs: 45.87 | 7: iteration 25360/ 41007 | consumed samples: 6492160 | consumed tokens: 13295943680 | elapsed time per iteration (s): 0.76 | learning rate: 7.830E-05 | global batch size: 256 | lm loss: 2.195586E+00 | grad norm: 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size: 256 | lm loss: 2.236902E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.010 | TFLOPs: 46.70 | 7: iteration 25400/ 41007 | consumed samples: 6502400 | consumed tokens: 13316915200 | elapsed time per iteration (s): 0.77 | learning rate: 7.804E-05 | global batch size: 256 | lm loss: 2.215000E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.743 | TFLOPs: 45.43 | 7: iteration 25410/ 41007 | consumed samples: 6504960 | consumed tokens: 13322158080 | elapsed time per iteration (s): 0.76 | learning rate: 7.798E-05 | global batch size: 256 | lm loss: 2.174998E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.828 | TFLOPs: 46.27 | 7: iteration 25420/ 41007 | consumed samples: 6507520 | consumed tokens: 13327400960 | elapsed time per iteration (s): 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consumed samples: 6522880 | consumed tokens: 13358858240 | elapsed time per iteration (s): 0.76 | learning rate: 7.752E-05 | global batch size: 256 | lm loss: 2.210232E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.287 | TFLOPs: 46.33 | 7: iteration 25490/ 41007 | consumed samples: 6525440 | consumed tokens: 13364101120 | elapsed time per iteration (s): 0.77 | learning rate: 7.746E-05 | global batch size: 256 | lm loss: 2.179849E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.235 | TFLOPs: 45.50 | 7: iteration 25500/ 41007 | consumed samples: 6528000 | consumed tokens: 13369344000 | elapsed time per iteration (s): 0.78 | learning rate: 7.739E-05 | global batch size: 256 | lm loss: 2.202171E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.420 | TFLOPs: 45.11 | 7: iteration 25510/ 41007 | consumed samples: 6530560 | consumed tokens: 13374586880 | elapsed time per iteration (s): 0.78 | learning rate: 7.733E-05 | global batch size: 256 | lm loss: 2.172547E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.641 | TFLOPs: 45.14 | 7: iteration 25520/ 41007 | consumed samples: 6533120 | consumed tokens: 13379829760 | elapsed time per iteration (s): 0.76 | learning rate: 7.726E-05 | global batch size: 256 | lm loss: 2.191344E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.863 | TFLOPs: 46.55 | 7: iteration 25530/ 41007 | consumed samples: 6535680 | consumed tokens: 13385072640 | elapsed time per iteration (s): 0.77 | learning rate: 7.720E-05 | global batch size: 256 | lm loss: 2.199967E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.629 | TFLOPs: 45.96 | 7: iteration 25540/ 41007 | consumed samples: 6538240 | consumed tokens: 13390315520 | elapsed time per iteration (s): 0.76 | learning rate: 7.713E-05 | global batch size: 256 | lm loss: 2.197508E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.453 | TFLOPs: 46.08 | 7: iteration 25550/ 41007 | consumed samples: 6540800 | consumed tokens: 13395558400 | elapsed time per iteration (s): 0.76 | learning rate: 7.707E-05 | global batch size: 256 | lm loss: 2.197305E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.547 | TFLOPs: 46.23 | 7: iteration 25560/ 41007 | consumed samples: 6543360 | consumed tokens: 13400801280 | elapsed time per iteration (s): 0.75 | learning rate: 7.700E-05 | global batch size: 256 | lm loss: 2.210140E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.233 | TFLOPs: 46.60 | 7: iteration 25570/ 41007 | consumed samples: 6545920 | consumed tokens: 13406044160 | elapsed time per iteration (s): 0.77 | learning rate: 7.694E-05 | global batch size: 256 | lm loss: 2.192472E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.260 | TFLOPs: 45.78 | 7: iteration 25580/ 41007 | consumed samples: 6548480 | consumed tokens: 13411287040 | elapsed time per iteration (s): 0.77 | learning rate: 7.687E-05 | global batch size: 256 | lm loss: 2.179601E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.337 | TFLOPs: 45.79 | 7: iteration 25590/ 41007 | consumed samples: 6551040 | consumed tokens: 13416529920 | elapsed time per iteration (s): 0.78 | learning rate: 7.681E-05 | global batch size: 256 | lm loss: 2.186178E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.888 | TFLOPs: 45.31 | 7: iteration 25600/ 41007 | consumed samples: 6553600 | consumed tokens: 13421772800 | elapsed time per iteration (s): 0.77 | learning rate: 7.674E-05 | global batch size: 256 | lm loss: 2.186332E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.014 | TFLOPs: 45.88 | 7: iteration 25610/ 41007 | consumed samples: 6556160 | consumed tokens: 13427015680 | elapsed time per iteration (s): 0.77 | learning rate: 7.668E-05 | global batch size: 256 | lm loss: 2.201695E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.018 | TFLOPs: 45.61 | 7: iteration 25620/ 41007 | consumed samples: 6558720 | consumed tokens: 13432258560 | elapsed time per iteration (s): 0.76 | learning rate: 7.662E-05 | global batch size: 256 | lm loss: 2.228263E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.261 | TFLOPs: 46.05 | 7: iteration 25630/ 41007 | consumed samples: 6561280 | consumed tokens: 13437501440 | elapsed time per iteration (s): 0.76 | learning rate: 7.655E-05 | global batch size: 256 | lm loss: 2.222105E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.742 | TFLOPs: 46.12 | 7: iteration 25640/ 41007 | consumed samples: 6563840 | consumed tokens: 13442744320 | elapsed time per iteration (s): 0.77 | learning rate: 7.649E-05 | global batch size: 256 | lm loss: 2.202689E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.814 | TFLOPs: 45.44 | 7: iteration 25650/ 41007 | consumed samples: 6566400 | consumed tokens: 13447987200 | elapsed time per iteration (s): 0.77 | learning rate: 7.642E-05 | global batch size: 256 | lm loss: 2.218108E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.092 | TFLOPs: 45.89 | 7: iteration 25660/ 41007 | consumed samples: 6568960 | consumed tokens: 13453230080 | elapsed time per iteration (s): 0.76 | learning rate: 7.636E-05 | global batch size: 256 | lm loss: 2.219996E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.840 | TFLOPs: 46.54 | 7: iteration 25670/ 41007 | consumed samples: 6571520 | consumed tokens: 13458472960 | elapsed time per iteration (s): 0.76 | learning rate: 7.629E-05 | global batch size: 256 | lm loss: 2.210495E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.209 | TFLOPs: 46.46 | 7: iteration 25680/ 41007 | consumed samples: 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iteration 25710/ 41007 | consumed samples: 6581760 | consumed tokens: 13479444480 | elapsed time per iteration (s): 0.75 | learning rate: 7.603E-05 | global batch size: 256 | lm loss: 2.177253E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.334 | TFLOPs: 46.89 | 7: iteration 25720/ 41007 | consumed samples: 6584320 | consumed tokens: 13484687360 | elapsed time per iteration (s): 0.75 | learning rate: 7.597E-05 | global batch size: 256 | lm loss: 2.201221E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.433 | TFLOPs: 46.62 | 7: iteration 25730/ 41007 | consumed samples: 6586880 | consumed tokens: 13489930240 | elapsed time per iteration (s): 0.76 | learning rate: 7.590E-05 | global batch size: 256 | lm loss: 2.199170E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.392 | TFLOPs: 46.34 | 7: iteration 25740/ 41007 | consumed samples: 6589440 | consumed tokens: 13495173120 | elapsed time per iteration (s): 0.76 | learning rate: 7.584E-05 | global batch size: 256 | lm loss: 2.204249E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.807 | TFLOPs: 46.54 | 7: iteration 25750/ 41007 | consumed samples: 6592000 | consumed tokens: 13500416000 | elapsed time per iteration (s): 0.75 | learning rate: 7.578E-05 | global batch size: 256 | lm loss: 2.206039E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.288 | TFLOPs: 46.74 | 7: iteration 25760/ 41007 | consumed samples: 6594560 | consumed tokens: 13505658880 | elapsed time per iteration (s): 0.76 | learning rate: 7.571E-05 | global batch size: 256 | lm loss: 2.230426E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.696 | TFLOPs: 45.97 | 7: iteration 25770/ 41007 | consumed samples: 6597120 | consumed tokens: 13510901760 | elapsed time per iteration (s): 0.76 | learning rate: 7.565E-05 | global batch size: 256 | lm loss: 2.203791E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.622 | TFLOPs: 46.38 | 7: iteration 25780/ 41007 | consumed samples: 6599680 | consumed tokens: 13516144640 | elapsed time per iteration (s): 0.77 | learning rate: 7.558E-05 | global batch size: 256 | lm loss: 2.191697E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.975 | TFLOPs: 45.60 | 7: iteration 25790/ 41007 | consumed samples: 6602240 | consumed tokens: 13521387520 | elapsed time per iteration (s): 0.76 | learning rate: 7.552E-05 | global batch size: 256 | lm loss: 2.223906E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.651 | TFLOPs: 46.24 | 7: iteration 25800/ 41007 | consumed samples: 6604800 | consumed tokens: 13526630400 | elapsed time per iteration (s): 0.76 | learning rate: 7.545E-05 | global batch size: 256 | lm loss: 2.198612E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.556 | TFLOPs: 46.23 | 7: iteration 25810/ 41007 | consumed samples: 6607360 | consumed tokens: 13531873280 | elapsed time per iteration (s): 0.76 | learning rate: 7.539E-05 | global batch size: 256 | lm loss: 2.221889E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.048 | TFLOPs: 46.16 | 7: iteration 25820/ 41007 | consumed samples: 6609920 | consumed tokens: 13537116160 | elapsed time per iteration (s): 0.77 | learning rate: 7.533E-05 | global batch size: 256 | lm loss: 2.218808E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.917 | TFLOPs: 45.45 | 7: iteration 25830/ 41007 | consumed samples: 6612480 | consumed tokens: 13542359040 | elapsed time per iteration (s): 0.76 | learning rate: 7.526E-05 | global batch size: 256 | lm loss: 2.204679E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.990 | TFLOPs: 46.43 | 7: iteration 25840/ 41007 | consumed samples: 6615040 | consumed tokens: 13547601920 | elapsed time per iteration (s): 0.76 | learning rate: 7.520E-05 | global batch size: 256 | lm loss: 2.199988E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.195 | TFLOPs: 46.32 | 7: iteration 25850/ 41007 | consumed samples: 6617600 | consumed tokens: 13552844800 | elapsed time per iteration (s): 0.75 | learning rate: 7.513E-05 | global batch size: 256 | lm loss: 2.219892E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.617 | TFLOPs: 46.65 | 7: iteration 25860/ 41007 | consumed samples: 6620160 | consumed tokens: 13558087680 | elapsed time per iteration (s): 0.77 | learning rate: 7.507E-05 | global batch size: 256 | lm loss: 2.214800E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.941 | TFLOPs: 45.73 | 7: iteration 25870/ 41007 | consumed samples: 6622720 | consumed tokens: 13563330560 | elapsed time per iteration (s): 0.75 | learning rate: 7.500E-05 | global batch size: 256 | lm loss: 2.200747E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.478 | TFLOPs: 46.63 | 7: iteration 25880/ 41007 | consumed samples: 6625280 | consumed tokens: 13568573440 | elapsed time per iteration (s): 0.75 | learning rate: 7.494E-05 | global batch size: 256 | lm loss: 2.178548E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.114 | TFLOPs: 46.72 | 7: iteration 25890/ 41007 | consumed samples: 6627840 | consumed tokens: 13573816320 | elapsed time per iteration (s): 0.75 | learning rate: 7.488E-05 | global batch size: 256 | lm loss: 2.185208E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.318 | TFLOPs: 46.61 | 7: iteration 25900/ 41007 | consumed samples: 6630400 | consumed tokens: 13579059200 | elapsed time per iteration (s): 0.76 | learning rate: 7.481E-05 | global batch size: 256 | lm loss: 2.210168E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.416 | TFLOPs: 46.21 | 7: iteration 25910/ 41007 | consumed samples: 6632960 | consumed tokens: 13584302080 | elapsed time per iteration (s): 0.77 | learning rate: 7.475E-05 | global batch size: 256 | lm loss: 2.207723E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.727 | TFLOPs: 45.84 | 7: iteration 25920/ 41007 | consumed samples: 6635520 | consumed tokens: 13589544960 | elapsed time per iteration (s): 0.77 | learning rate: 7.468E-05 | global batch size: 256 | lm loss: 2.194107E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.522 | TFLOPs: 45.81 | 7: iteration 25930/ 41007 | consumed samples: 6638080 | consumed tokens: 13594787840 | elapsed time per iteration (s): 0.76 | learning rate: 7.462E-05 | global batch size: 256 | lm loss: 2.208846E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.958 | TFLOPs: 46.42 | 7: iteration 25940/ 41007 | consumed samples: 6640640 | consumed tokens: 13600030720 | elapsed time per iteration (s): 0.76 | learning rate: 7.456E-05 | global batch size: 256 | lm loss: 2.189853E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.918 | TFLOPs: 46.14 | 7: iteration 25950/ 41007 | consumed samples: 6643200 | consumed tokens: 13605273600 | elapsed time per iteration (s): 0.77 | learning rate: 7.449E-05 | global batch size: 256 | lm loss: 2.210315E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.584 | TFLOPs: 45.96 | 7: iteration 25960/ 41007 | consumed samples: 6645760 | consumed tokens: 13610516480 | elapsed time per iteration (s): 0.76 | learning rate: 7.443E-05 | global batch size: 256 | lm loss: 2.194756E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.156 | TFLOPs: 46.45 | 7: iteration 25970/ 41007 | consumed samples: 6648320 | consumed tokens: 13615759360 | elapsed time per iteration (s): 0.75 | learning rate: 7.436E-05 | global batch size: 256 | lm loss: 2.212017E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.788 | TFLOPs: 46.67 | 7: iteration 25980/ 41007 | consumed samples: 6650880 | consumed tokens: 13621002240 | elapsed time per iteration (s): 0.77 | learning rate: 7.430E-05 | global batch size: 256 | lm loss: 2.182827E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.505 | TFLOPs: 45.95 | 7: iteration 25990/ 41007 | consumed samples: 6653440 | consumed tokens: 13626245120 | elapsed time per iteration (s): 0.77 | learning rate: 7.424E-05 | global batch size: 256 | lm loss: 2.214781E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.897 | TFLOPs: 45.86 | 0: [2022-11-28 18:32:26,732] [INFO] [logging.py:68:log_dist] [Rank 0] step=26000, skipped=0, lr=[7.417212391777072e-05, 7.417212391777072e-05, 7.417212391777072e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 26000/ 41007 | consumed samples: 6656000 | consumed tokens: 13631488000 | elapsed time per iteration (s): 0.76 | learning rate: 7.417E-05 | global batch size: 256 | lm loss: 2.222097E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.686 | TFLOPs: 46.11 | 0: steps: 26000 loss: 2.2562 iter time (s): 0.765 samples/sec: 334.493 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 26000 | lm loss value: 2.112291E+00 | lm loss PPL: 8.267159E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 26000 to checkpoints_619m22b 0: [2022-11-28 18:32:27,062] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step26000 is begin to save! 0: [2022-11-28 18:32:27,103] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step26000/layer_01-model_00-model_states.pt... 0: [2022-11-28 18:32:27,409] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/layer_01-model_00-model_states.pt. 0: [2022-11-28 18:32:27,410] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step26000/layer_03-model_00-model_states.pt... 0: [2022-11-28 18:32:27,467] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/layer_03-model_00-model_states.pt. 0: [2022-11-28 18:32:27,468] [INFO] [torch_checkpoint_engine.py:15:save] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-28 18:32:28,780] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 0: [2022-11-28 18:32:28,781] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-28 18:32:28,781] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-28 18:32:28,781] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 0: [2022-11-28 18:32:28,862] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 18:32:28,862] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step26000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 4: [2022-11-28 18:32:28,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step26000 is ready now! 0: successfully saved checkpoint at iteration 26000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1838.55 7: iteration 26010/ 41007 | consumed samples: 6658560 | consumed tokens: 13636730880 | elapsed time per iteration (s): 0.98 | learning rate: 7.411E-05 | global batch size: 256 | lm loss: 2.185372E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 262.270 | TFLOPs: 36.02 | 7: iteration 26020/ 41007 | consumed samples: 6661120 | consumed tokens: 13641973760 | elapsed time per iteration (s): 0.78 | learning rate: 7.404E-05 | global batch size: 256 | lm loss: 2.203029E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.938 | TFLOPs: 45.32 | 7: iteration 26030/ 41007 | consumed samples: 6663680 | consumed tokens: 13647216640 | elapsed time per iteration (s): 0.75 | learning rate: 7.398E-05 | global batch size: 256 | lm loss: 2.229086E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.500 | TFLOPs: 46.91 | 7: iteration 26040/ 41007 | consumed samples: 6666240 | consumed tokens: 13652459520 | elapsed time per iteration (s): 0.76 | learning rate: 7.392E-05 | global batch size: 256 | lm loss: 2.186181E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.347 | TFLOPs: 46.06 | 7: iteration 26050/ 41007 | consumed samples: 6668800 | consumed tokens: 13657702400 | elapsed time per iteration (s): 0.76 | learning rate: 7.385E-05 | global batch size: 256 | lm loss: 2.198931E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.357 | TFLOPs: 46.20 | 7: iteration 26060/ 41007 | consumed samples: 6671360 | consumed tokens: 13662945280 | elapsed time per iteration (s): 0.76 | learning rate: 7.379E-05 | global batch size: 256 | lm loss: 2.230721E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.691 | TFLOPs: 46.38 | 7: iteration 26070/ 41007 | consumed samples: 6673920 | consumed tokens: 13668188160 | elapsed time per iteration (s): 0.76 | learning rate: 7.373E-05 | global batch size: 256 | lm loss: 2.193609E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.684 | TFLOPs: 46.25 | 7: iteration 26080/ 41007 | consumed samples: 6676480 | consumed tokens: 13673431040 | elapsed time per iteration (s): 0.77 | learning rate: 7.366E-05 | global batch size: 256 | lm loss: 2.202414E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.673 | TFLOPs: 45.56 | 7: iteration 26090/ 41007 | consumed samples: 6679040 | consumed tokens: 13678673920 | elapsed time per iteration (s): 0.76 | learning rate: 7.360E-05 | global batch size: 256 | lm loss: 2.182109E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.974 | TFLOPs: 46.01 | 7: iteration 26100/ 41007 | consumed samples: 6681600 | consumed tokens: 13683916800 | elapsed time per iteration (s): 0.78 | learning rate: 7.353E-05 | global batch size: 256 | lm loss: 2.205808E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.160 | TFLOPs: 45.21 | 7: iteration 26110/ 41007 | consumed samples: 6684160 | consumed tokens: 13689159680 | elapsed time per iteration (s): 0.77 | learning rate: 7.347E-05 | global batch size: 256 | lm loss: 2.207747E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.036 | TFLOPs: 45.75 | 7: iteration 26120/ 41007 | consumed samples: 6686720 | consumed tokens: 13694402560 | elapsed time per iteration (s): 0.76 | learning rate: 7.341E-05 | global batch size: 256 | lm loss: 2.194067E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.110 | TFLOPs: 46.17 | 7: iteration 26130/ 41007 | consumed samples: 6689280 | consumed tokens: 13699645440 | elapsed time per iteration (s): 0.92 | learning rate: 7.334E-05 | global batch size: 256 | lm loss: 2.193839E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.179 | TFLOPs: 38.07 | 7: iteration 26140/ 41007 | consumed samples: 6691840 | consumed tokens: 13704888320 | elapsed time per iteration (s): 0.78 | learning rate: 7.328E-05 | global batch size: 256 | lm loss: 2.191165E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.075 | TFLOPs: 45.34 | 7: iteration 26150/ 41007 | consumed samples: 6694400 | consumed tokens: 13710131200 | elapsed time per iteration (s): 0.76 | learning rate: 7.322E-05 | global batch size: 256 | lm loss: 2.183536E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.133 | TFLOPs: 46.31 | 7: iteration 26160/ 41007 | consumed samples: 6696960 | consumed tokens: 13715374080 | elapsed time per iteration (s): 0.75 | learning rate: 7.315E-05 | global batch size: 256 | lm loss: 2.163062E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.144 | TFLOPs: 46.72 | 7: iteration 26170/ 41007 | consumed samples: 6699520 | consumed tokens: 13720616960 | elapsed time per iteration (s): 0.76 | learning rate: 7.309E-05 | global batch size: 256 | lm loss: 2.194661E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.887 | TFLOPs: 46.00 | 7: iteration 26180/ 41007 | consumed samples: 6702080 | consumed tokens: 13725859840 | elapsed time per iteration (s): 0.76 | learning rate: 7.303E-05 | global batch size: 256 | lm loss: 2.192870E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.167 | TFLOPs: 46.04 | 7: iteration 26190/ 41007 | consumed samples: 6704640 | consumed tokens: 13731102720 | elapsed time per iteration (s): 0.75 | learning rate: 7.296E-05 | global batch size: 256 | lm loss: 2.196497E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.418 | TFLOPs: 46.76 | 7: iteration 26200/ 41007 | consumed samples: 6707200 | consumed tokens: 13736345600 | elapsed time per iteration (s): 0.76 | learning rate: 7.290E-05 | global batch size: 256 | lm loss: 2.204567E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.163 | TFLOPs: 46.45 | 7: iteration 26210/ 41007 | consumed samples: 6709760 | consumed tokens: 13741588480 | elapsed time per iteration (s): 0.76 | learning rate: 7.284E-05 | global batch size: 256 | lm loss: 2.204067E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.599 | TFLOPs: 46.10 | 7: iteration 26220/ 41007 | consumed samples: 6712320 | consumed tokens: 13746831360 | elapsed time per iteration (s): 0.76 | learning rate: 7.277E-05 | global batch size: 256 | lm loss: 2.224129E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.516 | TFLOPs: 46.09 | 7: iteration 26230/ 41007 | consumed samples: 6714880 | consumed tokens: 13752074240 | elapsed time per iteration (s): 0.75 | learning rate: 7.271E-05 | global batch size: 256 | lm loss: 2.186378E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.697 | TFLOPs: 46.66 | 7: iteration 26240/ 41007 | consumed samples: 6717440 | consumed tokens: 13757317120 | elapsed time per iteration (s): 0.75 | learning rate: 7.265E-05 | global batch size: 256 | lm loss: 2.184358E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.355 | TFLOPs: 46.75 | 7: iteration 26250/ 41007 | consumed samples: 6720000 | consumed tokens: 13762560000 | elapsed time per iteration (s): 0.78 | learning rate: 7.258E-05 | global batch size: 256 | lm loss: 2.184099E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.877 | TFLOPs: 45.31 | 7: iteration 26260/ 41007 | consumed samples: 6722560 | consumed tokens: 13767802880 | elapsed time per iteration (s): 0.77 | learning rate: 7.252E-05 | global batch size: 256 | lm loss: 2.186293E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.593 | TFLOPs: 45.55 | 7: iteration 26270/ 41007 | consumed samples: 6725120 | consumed tokens: 13773045760 | elapsed time per iteration (s): 0.77 | learning rate: 7.246E-05 | global batch size: 256 | lm loss: 2.188721E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.826 | TFLOPs: 45.72 | 7: iteration 26280/ 41007 | consumed samples: 6727680 | consumed tokens: 13778288640 | elapsed time per iteration (s): 0.76 | learning rate: 7.239E-05 | global batch size: 256 | lm loss: 2.196408E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.465 | TFLOPs: 46.49 | 7: iteration 26290/ 41007 | consumed samples: 6730240 | consumed tokens: 13783531520 | elapsed time per iteration (s): 0.77 | learning rate: 7.233E-05 | global batch size: 256 | lm loss: 2.215860E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.326 | TFLOPs: 45.79 | 7: iteration 26300/ 41007 | consumed samples: 6732800 | consumed tokens: 13788774400 | elapsed time per iteration (s): 0.77 | learning rate: 7.227E-05 | global batch size: 256 | lm loss: 2.199909E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.904 | TFLOPs: 45.86 | 7: iteration 26310/ 41007 | consumed samples: 6735360 | consumed tokens: 13794017280 | elapsed time per iteration (s): 0.77 | learning rate: 7.220E-05 | global batch size: 256 | lm loss: 2.204363E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.505 | TFLOPs: 45.81 | 7: iteration 26320/ 41007 | consumed samples: 6737920 | consumed tokens: 13799260160 | elapsed time per iteration (s): 0.76 | learning rate: 7.214E-05 | global batch size: 256 | lm loss: 2.206620E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.002 | TFLOPs: 46.15 | 7: iteration 26330/ 41007 | consumed samples: 6740480 | consumed tokens: 13804503040 | elapsed time per iteration (s): 0.75 | learning rate: 7.208E-05 | global batch size: 256 | lm loss: 2.232250E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.394 | TFLOPs: 46.76 | 7: iteration 26340/ 41007 | consumed samples: 6743040 | consumed tokens: 13809745920 | elapsed time per iteration (s): 0.75 | learning rate: 7.201E-05 | global batch size: 256 | lm loss: 2.214590E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.093 | TFLOPs: 46.71 | 7: iteration 26350/ 41007 | consumed samples: 6745600 | consumed tokens: 13814988800 | elapsed time per iteration (s): 0.75 | learning rate: 7.195E-05 | global batch size: 256 | lm loss: 2.198153E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.559 | TFLOPs: 46.92 | 7: iteration 26360/ 41007 | consumed samples: 6748160 | consumed tokens: 13820231680 | elapsed time per iteration (s): 0.76 | learning rate: 7.189E-05 | global batch size: 256 | lm loss: 2.164818E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.760 | TFLOPs: 46.12 | 7: iteration 26370/ 41007 | consumed samples: 6750720 | consumed tokens: 13825474560 | elapsed time per iteration (s): 0.77 | learning rate: 7.182E-05 | global batch size: 256 | lm loss: 2.205678E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.574 | TFLOPs: 45.82 | 7: iteration 26380/ 41007 | consumed samples: 6753280 | consumed tokens: 13830717440 | elapsed time per iteration (s): 0.76 | learning rate: 7.176E-05 | global batch size: 256 | lm loss: 2.214052E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.183 | TFLOPs: 46.31 | 7: iteration 26390/ 41007 | consumed samples: 6755840 | consumed tokens: 13835960320 | elapsed time per iteration (s): 0.77 | learning rate: 7.170E-05 | global batch size: 256 | lm loss: 2.224827E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.802 | TFLOPs: 45.58 | 7: iteration 26400/ 41007 | consumed samples: 6758400 | consumed tokens: 13841203200 | elapsed time per iteration (s): 0.76 | learning rate: 7.163E-05 | global batch size: 256 | lm loss: 2.185640E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.880 | TFLOPs: 46.41 | 7: iteration 26410/ 41007 | consumed samples: 6760960 | consumed tokens: 13846446080 | elapsed time per iteration (s): 0.77 | learning rate: 7.157E-05 | global batch size: 256 | lm loss: 2.222067E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.137 | TFLOPs: 45.90 | 7: iteration 26420/ 41007 | consumed samples: 6763520 | consumed tokens: 13851688960 | elapsed time per iteration (s): 0.76 | learning rate: 7.151E-05 | global batch size: 256 | lm loss: 2.184319E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.885 | TFLOPs: 46.14 | 7: iteration 26430/ 41007 | consumed samples: 6766080 | consumed tokens: 13856931840 | elapsed time per iteration (s): 0.76 | learning rate: 7.145E-05 | global batch size: 256 | lm loss: 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7.126E-05 | global batch size: 256 | lm loss: 2.200457E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.187 | TFLOPs: 46.32 | 7: iteration 26470/ 41007 | consumed samples: 6776320 | consumed tokens: 13877903360 | elapsed time per iteration (s): 0.76 | learning rate: 7.119E-05 | global batch size: 256 | lm loss: 2.180215E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.762 | TFLOPs: 45.98 | 7: iteration 26480/ 41007 | consumed samples: 6778880 | consumed tokens: 13883146240 | elapsed time per iteration (s): 0.77 | learning rate: 7.113E-05 | global batch size: 256 | lm loss: 2.188568E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.334 | TFLOPs: 45.79 | 7: iteration 26490/ 41007 | consumed samples: 6781440 | consumed tokens: 13888389120 | elapsed 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time per iteration (s): 0.77 | learning rate: 6.839E-05 | global batch size: 256 | lm loss: 2.201771E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.068 | TFLOPs: 45.75 | 7: iteration 26930/ 41007 | consumed samples: 6894080 | consumed tokens: 14119075840 | elapsed time per iteration (s): 0.77 | learning rate: 6.833E-05 | global batch size: 256 | lm loss: 2.195803E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.573 | TFLOPs: 45.82 | 7: iteration 26940/ 41007 | consumed samples: 6896640 | consumed tokens: 14124318720 | elapsed time per iteration (s): 0.77 | learning rate: 6.827E-05 | global batch size: 256 | lm loss: 2.185099E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.362 | TFLOPs: 45.93 | 7: iteration 26950/ 41007 | consumed samples: 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samples per second: 327.875 | TFLOPs: 45.04 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 27000 | lm loss value: 2.159430E+00 | lm loss PPL: 8.666193E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 27000 to checkpoints_619m22b 0: [2022-11-28 18:45:15,872] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step27000 is begin to save! 0: [2022-11-28 18:45:15,897] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step27000/layer_01-model_00-model_states.pt... 0: [2022-11-28 18:45:16,077] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step27000/layer_01-model_00-model_states.pt. 0: [2022-11-28 18:45:16,077] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step27000/layer_03-model_00-model_states.pt... 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14166261760 | elapsed time per iteration (s): 0.79 | learning rate: 6.777E-05 | global batch size: 256 | lm loss: 2.167236E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.141 | TFLOPs: 44.52 | 7: iteration 27030/ 41007 | consumed samples: 6919680 | consumed tokens: 14171504640 | elapsed time per iteration (s): 0.77 | learning rate: 6.771E-05 | global batch size: 256 | lm loss: 2.173309E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.194 | TFLOPs: 45.90 | 7: iteration 27040/ 41007 | consumed samples: 6922240 | consumed tokens: 14176747520 | elapsed time per iteration (s): 0.76 | learning rate: 6.765E-05 | global batch size: 256 | lm loss: 2.177819E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.999 | TFLOPs: 46.29 | 7: iteration 27050/ 41007 | consumed samples: 6924800 | consumed tokens: 14181990400 | elapsed time per iteration (s): 0.77 | learning rate: 6.759E-05 | global batch size: 256 | lm loss: 2.223209E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.412 | TFLOPs: 45.93 | 7: iteration 27060/ 41007 | consumed samples: 6927360 | consumed tokens: 14187233280 | elapsed time per iteration (s): 0.75 | learning rate: 6.753E-05 | global batch size: 256 | lm loss: 2.209235E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.246 | TFLOPs: 46.74 | 7: iteration 27070/ 41007 | consumed samples: 6929920 | consumed tokens: 14192476160 | elapsed time per iteration (s): 0.77 | learning rate: 6.747E-05 | global batch size: 256 | lm loss: 2.189090E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.139 | TFLOPs: 45.90 | 7: iteration 27080/ 41007 | consumed samples: 6932480 | consumed tokens: 14197719040 | elapsed time per iteration (s): 0.75 | learning rate: 6.741E-05 | global batch size: 256 | lm loss: 2.179601E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.594 | TFLOPs: 46.65 | 7: iteration 27090/ 41007 | consumed samples: 6935040 | consumed tokens: 14202961920 | elapsed time per iteration (s): 0.77 | learning rate: 6.734E-05 | global batch size: 256 | lm loss: 2.191016E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.918 | TFLOPs: 45.73 | 7: iteration 27100/ 41007 | consumed samples: 6937600 | consumed tokens: 14208204800 | elapsed time per iteration (s): 0.77 | learning rate: 6.728E-05 | global batch size: 256 | lm loss: 2.176712E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.465 | TFLOPs: 45.94 | 7: iteration 27110/ 41007 | consumed samples: 6940160 | consumed tokens: 14213447680 | elapsed time per iteration (s): 0.76 | learning rate: 6.722E-05 | global batch size: 256 | lm loss: 2.208504E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.692 | TFLOPs: 46.11 | 7: iteration 27120/ 41007 | consumed samples: 6942720 | consumed tokens: 14218690560 | elapsed time per iteration (s): 0.77 | learning rate: 6.716E-05 | global batch size: 256 | lm loss: 2.180633E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.080 | TFLOPs: 45.89 | 7: iteration 27130/ 41007 | consumed samples: 6945280 | consumed tokens: 14223933440 | elapsed time per iteration (s): 0.78 | learning rate: 6.710E-05 | global batch size: 256 | lm loss: 2.200680E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.283 | TFLOPs: 45.23 | 7: iteration 27140/ 41007 | consumed samples: 6947840 | consumed tokens: 14229176320 | elapsed time per iteration (s): 0.76 | learning rate: 6.704E-05 | global batch size: 256 | lm loss: 2.157622E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.237 | TFLOPs: 46.05 | 7: iteration 27150/ 41007 | consumed samples: 6950400 | consumed tokens: 14234419200 | elapsed time per iteration (s): 0.76 | learning rate: 6.698E-05 | global batch size: 256 | lm loss: 2.188001E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.153 | TFLOPs: 46.17 | 7: iteration 27160/ 41007 | consumed samples: 6952960 | consumed tokens: 14239662080 | elapsed time per iteration (s): 0.75 | learning rate: 6.692E-05 | global batch size: 256 | lm loss: 2.213679E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.590 | TFLOPs: 46.65 | 7: iteration 27170/ 41007 | consumed samples: 6955520 | consumed tokens: 14244904960 | elapsed time per iteration (s): 0.76 | learning rate: 6.685E-05 | global batch size: 256 | lm loss: 2.185101E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.074 | TFLOPs: 46.44 | 7: iteration 27180/ 41007 | consumed samples: 6958080 | consumed tokens: 14250147840 | elapsed time per iteration (s): 0.75 | learning rate: 6.679E-05 | global batch size: 256 | lm loss: 2.186582E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.052 | TFLOPs: 46.98 | 7: iteration 27190/ 41007 | consumed samples: 6960640 | consumed tokens: 14255390720 | elapsed time per iteration (s): 0.77 | learning rate: 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iteration 27280/ 41007 | consumed samples: 6983680 | consumed tokens: 14302576640 | elapsed time per iteration (s): 0.76 | learning rate: 6.618E-05 | global batch size: 256 | lm loss: 2.191843E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.224 | TFLOPs: 46.46 | 7: iteration 27290/ 41007 | consumed samples: 6986240 | consumed tokens: 14307819520 | elapsed time per iteration (s): 0.76 | learning rate: 6.612E-05 | global batch size: 256 | lm loss: 2.193885E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.309 | TFLOPs: 46.19 | 7: iteration 27300/ 41007 | consumed samples: 6988800 | consumed tokens: 14313062400 | elapsed time per iteration (s): 0.77 | learning rate: 6.606E-05 | global batch size: 256 | lm loss: 2.198824E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.610 | TFLOPs: 45.55 | 7: iteration 27310/ 41007 | consumed samples: 6991360 | consumed tokens: 14318305280 | elapsed time per iteration (s): 0.77 | learning rate: 6.600E-05 | global batch size: 256 | lm loss: 2.198228E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.848 | TFLOPs: 45.86 | 7: iteration 27320/ 41007 | consumed samples: 6993920 | consumed tokens: 14323548160 | elapsed time per iteration (s): 0.76 | learning rate: 6.594E-05 | global batch size: 256 | lm loss: 2.197520E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.710 | TFLOPs: 46.39 | 7: iteration 27330/ 41007 | consumed samples: 6996480 | consumed tokens: 14328791040 | elapsed time per iteration (s): 0.76 | learning rate: 6.588E-05 | global batch size: 256 | lm loss: 2.189067E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.539 | TFLOPs: 46.23 | 7: iteration 27340/ 41007 | consumed samples: 6999040 | consumed tokens: 14334033920 | elapsed time per iteration (s): 0.77 | learning rate: 6.582E-05 | global batch size: 256 | lm loss: 2.184884E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.616 | TFLOPs: 45.82 | 7: iteration 27350/ 41007 | consumed samples: 7001600 | consumed tokens: 14339276800 | elapsed time per iteration (s): 0.78 | learning rate: 6.576E-05 | global batch size: 256 | lm loss: 2.181435E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.283 | TFLOPs: 45.37 | 7: iteration 27360/ 41007 | consumed samples: 7004160 | consumed tokens: 14344519680 | elapsed time per iteration (s): 0.77 | learning rate: 6.570E-05 | global batch size: 256 | lm loss: 2.191753E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.799 | TFLOPs: 45.71 | 7: iteration 27370/ 41007 | consumed samples: 7006720 | consumed tokens: 14349762560 | elapsed time per iteration (s): 0.75 | learning rate: 6.564E-05 | global batch size: 256 | lm loss: 2.231318E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.751 | TFLOPs: 46.67 | 7: iteration 27380/ 41007 | consumed samples: 7009280 | consumed tokens: 14355005440 | elapsed time per iteration (s): 0.77 | learning rate: 6.558E-05 | global batch size: 256 | lm loss: 2.168440E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.593 | TFLOPs: 45.68 | 7: iteration 27390/ 41007 | consumed samples: 7011840 | consumed tokens: 14360248320 | elapsed time per iteration (s): 0.78 | learning rate: 6.552E-05 | global batch size: 256 | lm loss: 2.193840E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.529 | TFLOPs: 45.26 | 7: iteration 27400/ 41007 | consumed samples: 7014400 | consumed tokens: 14365491200 | elapsed time per iteration (s): 0.77 | learning rate: 6.546E-05 | global batch size: 256 | lm loss: 2.174399E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.802 | TFLOPs: 45.85 | 7: iteration 27410/ 41007 | consumed samples: 7016960 | consumed tokens: 14370734080 | elapsed time per iteration (s): 0.75 | learning rate: 6.539E-05 | global batch size: 256 | lm loss: 2.183239E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.992 | TFLOPs: 46.84 | 7: iteration 27420/ 41007 | consumed samples: 7019520 | consumed tokens: 14375976960 | elapsed time per iteration (s): 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consumed samples: 7034880 | consumed tokens: 14407434240 | elapsed time per iteration (s): 0.76 | learning rate: 6.497E-05 | global batch size: 256 | lm loss: 2.188086E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.828 | TFLOPs: 46.40 | 7: iteration 27490/ 41007 | consumed samples: 7037440 | consumed tokens: 14412677120 | elapsed time per iteration (s): 0.76 | learning rate: 6.491E-05 | global batch size: 256 | lm loss: 2.203199E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.610 | TFLOPs: 46.51 | 7: iteration 27500/ 41007 | consumed samples: 7040000 | consumed tokens: 14417920000 | elapsed time per iteration (s): 0.76 | learning rate: 6.485E-05 | global batch size: 256 | lm loss: 2.204413E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.188 | TFLOPs: 46.04 | 7: iteration 27510/ 41007 | consumed samples: 7042560 | consumed tokens: 14423162880 | elapsed time per iteration (s): 0.76 | learning rate: 6.479E-05 | global batch size: 256 | lm loss: 2.209397E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.947 | TFLOPs: 46.28 | 7: iteration 27520/ 41007 | consumed samples: 7045120 | consumed tokens: 14428405760 | elapsed time per iteration (s): 0.76 | learning rate: 6.473E-05 | global batch size: 256 | lm loss: 2.173439E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.746 | TFLOPs: 46.39 | 7: iteration 27530/ 41007 | consumed samples: 7047680 | consumed tokens: 14433648640 | elapsed time per iteration (s): 0.76 | learning rate: 6.467E-05 | global batch size: 256 | lm loss: 2.197541E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.806 | TFLOPs: 45.99 | 7: iteration 27540/ 41007 | consumed samples: 7050240 | consumed tokens: 14438891520 | elapsed time per iteration (s): 0.76 | learning rate: 6.461E-05 | global batch size: 256 | lm loss: 2.174223E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.212 | TFLOPs: 46.04 | 7: iteration 27550/ 41007 | consumed samples: 7052800 | consumed tokens: 14444134400 | elapsed time per iteration (s): 0.75 | learning rate: 6.455E-05 | global batch size: 256 | lm loss: 2.178665E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.289 | TFLOPs: 46.60 | 7: iteration 27560/ 41007 | consumed samples: 7055360 | consumed tokens: 14449377280 | elapsed time per iteration (s): 0.78 | learning rate: 6.449E-05 | global batch size: 256 | lm loss: 2.196225E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.277 | TFLOPs: 45.09 | 7: iteration 27570/ 41007 | consumed samples: 7057920 | consumed tokens: 14454620160 | elapsed time per iteration (s): 0.75 | learning rate: 6.443E-05 | global batch size: 256 | lm loss: 2.179003E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.493 | TFLOPs: 46.63 | 7: iteration 27580/ 41007 | consumed samples: 7060480 | consumed tokens: 14459863040 | elapsed time per iteration (s): 0.75 | learning rate: 6.437E-05 | global batch size: 256 | lm loss: 2.189145E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.954 | TFLOPs: 46.83 | 7: iteration 27590/ 41007 | consumed samples: 7063040 | consumed tokens: 14465105920 | elapsed time per iteration (s): 0.75 | learning rate: 6.431E-05 | global batch size: 256 | lm loss: 2.195241E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.764 | TFLOPs: 46.81 | 7: iteration 27600/ 41007 | consumed samples: 7065600 | consumed tokens: 14470348800 | elapsed time per iteration (s): 0.77 | learning rate: 6.425E-05 | global batch size: 256 | lm loss: 2.204954E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.054 | TFLOPs: 45.47 | 7: iteration 27610/ 41007 | consumed samples: 7068160 | consumed tokens: 14475591680 | elapsed time per iteration (s): 0.77 | learning rate: 6.419E-05 | global batch size: 256 | lm loss: 2.185852E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.729 | TFLOPs: 45.70 | 7: iteration 27620/ 41007 | consumed samples: 7070720 | consumed tokens: 14480834560 | elapsed time per iteration (s): 0.76 | learning rate: 6.413E-05 | global batch size: 256 | lm loss: 2.187428E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.885 | TFLOPs: 46.41 | 7: iteration 27630/ 41007 | consumed samples: 7073280 | consumed tokens: 14486077440 | elapsed time per iteration (s): 0.77 | learning rate: 6.407E-05 | global batch size: 256 | lm loss: 2.199655E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.172 | TFLOPs: 45.49 | 7: iteration 27640/ 41007 | consumed samples: 7075840 | consumed tokens: 14491320320 | elapsed time per iteration (s): 0.76 | learning rate: 6.401E-05 | global batch size: 256 | lm loss: 2.198393E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.609 | TFLOPs: 46.10 | 7: iteration 27650/ 41007 | consumed samples: 7078400 | consumed tokens: 14496563200 | elapsed time per iteration (s): 0.77 | learning rate: 6.395E-05 | global batch size: 256 | lm loss: 2.192209E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.895 | TFLOPs: 45.73 | 7: iteration 27660/ 41007 | consumed samples: 7080960 | consumed tokens: 14501806080 | elapsed time per iteration (s): 0.77 | learning rate: 6.389E-05 | global batch size: 256 | lm loss: 2.182314E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.424 | TFLOPs: 45.94 | 7: iteration 27670/ 41007 | consumed samples: 7083520 | consumed tokens: 14507048960 | elapsed time per iteration (s): 0.76 | learning rate: 6.383E-05 | global batch size: 256 | lm loss: 2.202757E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.274 | TFLOPs: 46.05 | 7: iteration 27680/ 41007 | consumed samples: 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size: 256 | lm loss: 2.177829E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.090 | TFLOPs: 46.44 | 7: iteration 27830/ 41007 | consumed samples: 7124480 | consumed tokens: 14590935040 | elapsed time per iteration (s): 0.75 | learning rate: 6.288E-05 | global batch size: 256 | lm loss: 2.199491E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.363 | TFLOPs: 46.61 | 7: iteration 27840/ 41007 | consumed samples: 7127040 | consumed tokens: 14596177920 | elapsed time per iteration (s): 0.75 | learning rate: 6.282E-05 | global batch size: 256 | lm loss: 2.203998E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.589 | TFLOPs: 46.92 | 7: iteration 27850/ 41007 | consumed samples: 7129600 | consumed tokens: 14601420800 | elapsed time per iteration (s): 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consumed samples: 7144960 | consumed tokens: 14632878080 | elapsed time per iteration (s): 0.78 | learning rate: 6.240E-05 | global batch size: 256 | lm loss: 2.185094E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.127 | TFLOPs: 45.35 | 7: iteration 27920/ 41007 | consumed samples: 7147520 | consumed tokens: 14638120960 | elapsed time per iteration (s): 0.76 | learning rate: 6.235E-05 | global batch size: 256 | lm loss: 2.166428E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.836 | TFLOPs: 46.13 | 7: iteration 27930/ 41007 | consumed samples: 7150080 | consumed tokens: 14643363840 | elapsed time per iteration (s): 0.75 | learning rate: 6.229E-05 | global batch size: 256 | lm loss: 2.180564E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.086 | TFLOPs: 46.71 | 7: iteration 27940/ 41007 | consumed samples: 7152640 | consumed tokens: 14648606720 | elapsed time per iteration (s): 0.76 | learning rate: 6.223E-05 | global batch size: 256 | lm loss: 2.232449E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.944 | TFLOPs: 46.01 | 7: iteration 27950/ 41007 | consumed samples: 7155200 | consumed tokens: 14653849600 | elapsed time per iteration (s): 0.76 | learning rate: 6.217E-05 | global batch size: 256 | lm loss: 2.191610E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.103 | TFLOPs: 46.03 | 7: iteration 27960/ 41007 | consumed samples: 7157760 | consumed tokens: 14659092480 | elapsed time per iteration (s): 0.75 | learning rate: 6.211E-05 | global batch size: 256 | lm loss: 2.181946E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.836 | TFLOPs: 46.68 | 7: iteration 27970/ 41007 | consumed samples: 7160320 | consumed tokens: 14664335360 | elapsed time per iteration (s): 0.77 | learning rate: 6.205E-05 | global batch size: 256 | lm loss: 2.185769E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.450 | TFLOPs: 45.94 | 7: iteration 27980/ 41007 | consumed samples: 7162880 | consumed tokens: 14669578240 | elapsed time per iteration (s): 0.77 | learning rate: 6.199E-05 | global batch size: 256 | lm loss: 2.197576E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.155 | TFLOPs: 45.90 | 7: iteration 27990/ 41007 | consumed samples: 7165440 | consumed tokens: 14674821120 | elapsed time per iteration (s): 0.78 | learning rate: 6.193E-05 | global batch size: 256 | lm loss: 2.182546E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.074 | TFLOPs: 45.20 | 0: [2022-11-28 18:58:02,130] [INFO] [logging.py:68:log_dist] [Rank 0] step=28000, skipped=0, lr=[6.187360815702398e-05, 6.187360815702398e-05, 6.187360815702398e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 28000/ 41007 | consumed samples: 7168000 | consumed tokens: 14680064000 | elapsed time per iteration (s): 0.76 | learning rate: 6.187E-05 | global batch size: 256 | lm loss: 2.184801E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.752 | TFLOPs: 46.26 | 0: steps: 28000 loss: 2.2314 iter time (s): 0.764 samples/sec: 335.139 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 28000 | lm loss value: 2.188200E+00 | lm loss PPL: 8.919140E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 28000 to checkpoints_619m22b 0: [2022-11-28 18:58:02,401] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step28000 is begin to save! 0: [2022-11-28 18:58:02,406] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step28000/layer_01-model_00-model_states.pt... 0: [2022-11-28 18:58:02,578] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/layer_01-model_00-model_states.pt. 0: [2022-11-28 18:58:02,579] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step28000/layer_03-model_00-model_states.pt... 0: [2022-11-28 18:58:02,631] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/layer_03-model_00-model_states.pt. 0: [2022-11-28 18:58:02,631] [INFO] [torch_checkpoint_engine.py:15:save] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-28 18:58:03,787] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 7: [2022-11-28 18:58:03,787] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-28 18:58:03,787] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-28 18:58:03,787] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 6: [2022-11-28 18:58:03,788] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-28 18:58:03,788] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-28 18:58:03,791] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 6: [2022-11-28 18:58:03,792] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-28 18:58:03,792] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-28 18:58:03,792] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 6: [2022-11-28 18:58:03,793] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-28 18:58:03,793] [INFO] 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checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-28 18:58:03,851] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 4: [2022-11-28 18:58:03,851] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:58:03,851] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-28 18:58:03,851] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 4: [2022-11-28 18:58:03,851] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-28 18:58:03,851] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-28 18:58:03,851] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 2: [2022-11-28 18:58:03,883] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-28 18:58:03,883] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-28 18:58:03,883] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-28 18:58:03,883] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 2: [2022-11-28 18:58:03,883] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step28000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 3: [2022-11-28 18:58:03,962] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step28000 is ready now! 0: successfully saved checkpoint at iteration 28000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1572.57 7: iteration 28010/ 41007 | consumed samples: 7170560 | consumed tokens: 14685306880 | elapsed time per iteration (s): 0.95 | learning rate: 6.181E-05 | global batch size: 256 | lm loss: 2.207301E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 269.380 | TFLOPs: 37.00 | 7: iteration 28020/ 41007 | consumed samples: 7173120 | consumed tokens: 14690549760 | elapsed time per iteration (s): 0.76 | learning rate: 6.176E-05 | global batch size: 256 | lm loss: 2.154852E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.430 | TFLOPs: 46.07 | 7: iteration 28030/ 41007 | consumed samples: 7175680 | consumed tokens: 14695792640 | elapsed time per iteration (s): 0.75 | learning rate: 6.170E-05 | global batch size: 256 | lm loss: 2.196467E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.122 | TFLOPs: 46.99 | 7: iteration 28040/ 41007 | consumed samples: 7178240 | consumed tokens: 14701035520 | elapsed time per iteration (s): 0.75 | learning rate: 6.164E-05 | global batch size: 256 | lm loss: 2.192731E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.506 | TFLOPs: 46.63 | 7: iteration 28050/ 41007 | consumed samples: 7180800 | consumed tokens: 14706278400 | elapsed time per iteration (s): 0.77 | learning rate: 6.158E-05 | global batch size: 256 | lm loss: 2.163785E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.763 | TFLOPs: 45.85 | 7: iteration 28060/ 41007 | consumed samples: 7183360 | consumed tokens: 14711521280 | elapsed time per iteration (s): 0.77 | learning rate: 6.152E-05 | global batch size: 256 | lm loss: 2.176487E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.751 | TFLOPs: 45.84 | 7: iteration 28070/ 41007 | consumed samples: 7185920 | consumed tokens: 14716764160 | elapsed time per iteration (s): 0.77 | learning rate: 6.146E-05 | global batch size: 256 | lm loss: 2.216886E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.891 | TFLOPs: 45.86 | 7: iteration 28080/ 41007 | consumed samples: 7188480 | consumed tokens: 14722007040 | elapsed time per iteration (s): 0.76 | learning rate: 6.140E-05 | global batch size: 256 | lm loss: 2.181896E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.529 | TFLOPs: 46.50 | 7: iteration 28090/ 41007 | consumed samples: 7191040 | consumed tokens: 14727249920 | elapsed time per iteration (s): 0.77 | learning rate: 6.135E-05 | global batch size: 256 | lm loss: 2.186304E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.572 | TFLOPs: 45.96 | 7: iteration 28100/ 41007 | consumed samples: 7193600 | consumed tokens: 14732492800 | elapsed time per iteration (s): 0.77 | learning rate: 6.129E-05 | global batch size: 256 | lm loss: 2.203848E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.576 | TFLOPs: 45.68 | 7: iteration 28110/ 41007 | consumed samples: 7196160 | consumed tokens: 14737735680 | elapsed time per iteration (s): 0.78 | learning rate: 6.123E-05 | global batch size: 256 | lm loss: 2.186901E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.656 | TFLOPs: 45.28 | 7: iteration 28120/ 41007 | consumed samples: 7198720 | consumed tokens: 14742978560 | elapsed time per iteration (s): 0.77 | learning rate: 6.117E-05 | global batch size: 256 | lm loss: 2.184401E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.993 | TFLOPs: 45.60 | 7: iteration 28130/ 41007 | consumed samples: 7201280 | consumed tokens: 14748221440 | elapsed time per iteration (s): 0.76 | learning rate: 6.111E-05 | global batch size: 256 | lm loss: 2.211455E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.833 | TFLOPs: 45.99 | 7: iteration 28140/ 41007 | consumed samples: 7203840 | consumed tokens: 14753464320 | elapsed time per iteration (s): 0.76 | learning rate: 6.105E-05 | global batch size: 256 | lm loss: 2.201920E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.048 | TFLOPs: 46.30 | 7: iteration 28150/ 41007 | consumed samples: 7206400 | consumed tokens: 14758707200 | elapsed time per iteration (s): 0.77 | learning rate: 6.099E-05 | global batch size: 256 | lm loss: 2.195323E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.749 | TFLOPs: 45.57 | 7: iteration 28160/ 41007 | consumed samples: 7208960 | consumed tokens: 14763950080 | elapsed time per iteration (s): 0.77 | learning rate: 6.094E-05 | global batch size: 256 | lm loss: 2.163631E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.371 | TFLOPs: 45.93 | 7: iteration 28170/ 41007 | consumed samples: 7211520 | consumed tokens: 14769192960 | elapsed time per iteration (s): 0.76 | learning rate: 6.088E-05 | global batch size: 256 | lm loss: 2.180408E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.340 | TFLOPs: 46.20 | 7: iteration 28180/ 41007 | consumed samples: 7214080 | consumed tokens: 14774435840 | elapsed time per iteration (s): 0.75 | learning rate: 6.082E-05 | global batch size: 256 | lm loss: 2.166457E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.637 | TFLOPs: 46.93 | 7: iteration 28190/ 41007 | consumed samples: 7216640 | consumed tokens: 14779678720 | elapsed time per iteration (s): 0.90 | learning rate: 6.076E-05 | global batch size: 256 | lm loss: 2.189510E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.916 | TFLOPs: 39.14 | 7: iteration 28200/ 41007 | consumed samples: 7219200 | consumed tokens: 14784921600 | elapsed time per iteration (s): 0.75 | learning rate: 6.070E-05 | global batch size: 256 | lm loss: 2.154546E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.145 | TFLOPs: 46.86 | 7: iteration 28210/ 41007 | consumed samples: 7221760 | consumed tokens: 14790164480 | elapsed time per iteration (s): 0.76 | learning rate: 6.064E-05 | global batch size: 256 | lm loss: 2.171423E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.905 | TFLOPs: 46.00 | 7: iteration 28220/ 41007 | consumed samples: 7224320 | consumed tokens: 14795407360 | elapsed time per iteration (s): 0.76 | learning rate: 6.059E-05 | global batch size: 256 | lm loss: 2.203536E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.070 | TFLOPs: 46.44 | 7: iteration 28230/ 41007 | consumed samples: 7226880 | consumed tokens: 14800650240 | elapsed time per iteration (s): 0.77 | learning rate: 6.053E-05 | global batch size: 256 | lm loss: 2.174804E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.654 | TFLOPs: 45.56 | 7: iteration 28240/ 41007 | consumed samples: 7229440 | consumed tokens: 14805893120 | elapsed time per iteration (s): 0.77 | learning rate: 6.047E-05 | global batch size: 256 | lm loss: 2.177195E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.343 | TFLOPs: 45.65 | 7: iteration 28250/ 41007 | consumed samples: 7232000 | consumed tokens: 14811136000 | elapsed time per iteration (s): 0.78 | learning rate: 6.041E-05 | global batch size: 256 | lm loss: 2.185173E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.605 | TFLOPs: 45.27 | 7: iteration 28260/ 41007 | consumed samples: 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iteration 28290/ 41007 | consumed samples: 7242240 | consumed tokens: 14832107520 | elapsed time per iteration (s): 0.77 | learning rate: 6.018E-05 | global batch size: 256 | lm loss: 2.199419E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.005 | TFLOPs: 45.60 | 7: iteration 28300/ 41007 | consumed samples: 7244800 | consumed tokens: 14837350400 | elapsed time per iteration (s): 0.75 | learning rate: 6.012E-05 | global batch size: 256 | lm loss: 2.180576E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.219 | TFLOPs: 46.73 | 7: iteration 28310/ 41007 | consumed samples: 7247360 | consumed tokens: 14842593280 | elapsed time per iteration (s): 0.76 | learning rate: 6.006E-05 | global batch size: 256 | lm loss: 2.211866E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.781 | TFLOPs: 46.40 | 7: iteration 28320/ 41007 | consumed samples: 7249920 | consumed tokens: 14847836160 | elapsed time per iteration (s): 0.77 | learning rate: 6.001E-05 | global batch size: 256 | lm loss: 2.239117E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.456 | TFLOPs: 45.39 | 7: iteration 28330/ 41007 | consumed samples: 7252480 | consumed tokens: 14853079040 | elapsed time per iteration (s): 0.77 | learning rate: 5.995E-05 | global batch size: 256 | lm loss: 2.208347E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.691 | TFLOPs: 45.56 | 7: iteration 28340/ 41007 | consumed samples: 7255040 | consumed tokens: 14858321920 | elapsed time per iteration (s): 0.77 | learning rate: 5.989E-05 | global batch size: 256 | lm loss: 2.191396E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped 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iteration 28720/ 41007 | consumed samples: 7352320 | consumed tokens: 15057551360 | elapsed time per iteration (s): 0.77 | learning rate: 5.771E-05 | global batch size: 256 | lm loss: 2.194985E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.366 | TFLOPs: 45.65 | 7: iteration 28730/ 41007 | consumed samples: 7354880 | consumed tokens: 15062794240 | elapsed time per iteration (s): 0.77 | learning rate: 5.766E-05 | global batch size: 256 | lm loss: 2.205175E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.404 | TFLOPs: 45.38 | 7: iteration 28740/ 41007 | consumed samples: 7357440 | consumed tokens: 15068037120 | elapsed time per iteration (s): 0.77 | learning rate: 5.760E-05 | global batch size: 256 | lm loss: 2.215204E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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TFLOPs: 44.05 | 7: iteration 28950/ 41007 | consumed samples: 7411200 | consumed tokens: 15178137600 | elapsed time per iteration (s): 0.76 | learning rate: 5.642E-05 | global batch size: 256 | lm loss: 2.204092E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.766 | TFLOPs: 46.12 | 7: iteration 28960/ 41007 | consumed samples: 7413760 | consumed tokens: 15183380480 | elapsed time per iteration (s): 0.76 | learning rate: 5.636E-05 | global batch size: 256 | lm loss: 2.158539E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.162 | TFLOPs: 46.04 | 7: iteration 28970/ 41007 | consumed samples: 7416320 | consumed tokens: 15188623360 | elapsed time per iteration (s): 0.77 | learning rate: 5.631E-05 | global batch size: 256 | lm loss: 2.222117E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.933 | TFLOPs: 45.46 | 7: iteration 28980/ 41007 | consumed samples: 7418880 | consumed tokens: 15193866240 | elapsed time per iteration (s): 0.77 | learning rate: 5.625E-05 | global batch size: 256 | lm loss: 2.215783E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.861 | TFLOPs: 45.72 | 7: iteration 28990/ 41007 | consumed samples: 7421440 | consumed tokens: 15199109120 | elapsed time per iteration (s): 0.76 | learning rate: 5.619E-05 | global batch size: 256 | lm loss: 2.194140E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.539 | TFLOPs: 46.09 | 7: iteration 29000/ 41007 | consumed samples: 7424000 | consumed tokens: 15204352000 | elapsed time per iteration (s): 0.78 | learning rate: 5.614E-05 | global batch size: 256 | lm loss: 2.169976E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.524 | TFLOPs: 45.26 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 29000 | lm loss value: 2.233196E+00 | lm loss PPL: 9.329632E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 29000 to checkpoints_619m22b 0: [2022-11-28 19:10:51,792] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step29000 is begin to save! 0: [2022-11-28 19:10:51,820] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step29000/layer_01-model_00-model_states.pt... 0: [2022-11-28 19:10:51,993] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step29000/layer_01-model_00-model_states.pt. 0: [2022-11-28 19:10:51,993] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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19:10:53,447] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-28 19:10:53,447] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-28 19:10:53,447] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-28 19:10:53,452] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-28 19:10:53,452] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-28 19:10:53,452] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-28 19:10:53,452] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step29000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 3: [2022-11-28 19:10:53,452] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step29000 is ready now! 0: successfully saved checkpoint at iteration 29000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1679.06 7: iteration 29010/ 41007 | consumed samples: 7426560 | consumed tokens: 15209594880 | elapsed time per iteration (s): 0.96 | learning rate: 5.608E-05 | global batch size: 256 | lm loss: 2.146598E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.979 | TFLOPs: 36.81 | 7: iteration 29020/ 41007 | consumed samples: 7429120 | consumed tokens: 15214837760 | elapsed time per iteration (s): 0.76 | learning rate: 5.603E-05 | global batch size: 256 | lm loss: 2.191219E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.438 | TFLOPs: 46.08 | 7: iteration 29030/ 41007 | consumed samples: 7431680 | consumed tokens: 15220080640 | elapsed time per iteration (s): 0.77 | learning rate: 5.597E-05 | global batch size: 256 | lm loss: 2.177300E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.348 | TFLOPs: 45.38 | 7: iteration 29040/ 41007 | consumed samples: 7434240 | consumed tokens: 15225323520 | elapsed time per iteration (s): 0.77 | learning rate: 5.592E-05 | global batch size: 256 | lm loss: 2.170191E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.718 | TFLOPs: 45.84 | 7: iteration 29050/ 41007 | consumed samples: 7436800 | consumed tokens: 15230566400 | elapsed time per iteration (s): 0.76 | learning rate: 5.586E-05 | global batch size: 256 | lm loss: 2.193964E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.721 | TFLOPs: 46.25 | 7: iteration 29060/ 41007 | consumed samples: 7439360 | consumed tokens: 15235809280 | elapsed time per iteration (s): 0.76 | learning rate: 5.580E-05 | global batch size: 256 | lm loss: 2.194691E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.065 | TFLOPs: 46.02 | 7: iteration 29070/ 41007 | consumed samples: 7441920 | consumed tokens: 15241052160 | elapsed time per iteration (s): 0.76 | learning rate: 5.575E-05 | global batch size: 256 | lm loss: 2.170543E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.747 | TFLOPs: 46.39 | 7: iteration 29080/ 41007 | consumed samples: 7444480 | consumed tokens: 15246295040 | elapsed time per iteration (s): 0.78 | learning rate: 5.569E-05 | global batch size: 256 | lm loss: 2.203747E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.935 | TFLOPs: 44.91 | 7: iteration 29090/ 41007 | consumed samples: 7447040 | consumed tokens: 15251537920 | elapsed time per iteration (s): 0.76 | learning rate: 5.564E-05 | global batch size: 256 | lm loss: 2.190014E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.009 | TFLOPs: 46.02 | 7: iteration 29100/ 41007 | consumed samples: 7449600 | consumed tokens: 15256780800 | elapsed time per iteration (s): 0.76 | learning rate: 5.558E-05 | global batch size: 256 | lm loss: 2.157898E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.647 | TFLOPs: 45.97 | 7: iteration 29110/ 41007 | consumed samples: 7452160 | consumed tokens: 15262023680 | elapsed time per iteration (s): 0.77 | learning rate: 5.553E-05 | global batch size: 256 | lm loss: 2.186221E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.322 | TFLOPs: 45.51 | 7: iteration 29120/ 41007 | consumed samples: 7454720 | consumed tokens: 15267266560 | elapsed time per iteration (s): 0.94 | learning rate: 5.547E-05 | global batch size: 256 | lm loss: 2.166187E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.883 | TFLOPs: 37.35 | 7: iteration 29130/ 41007 | consumed samples: 7457280 | consumed tokens: 15272509440 | elapsed time per iteration (s): 0.75 | learning rate: 5.542E-05 | global batch size: 256 | lm loss: 2.182576E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.037 | TFLOPs: 46.71 | 7: iteration 29140/ 41007 | consumed samples: 7459840 | consumed tokens: 15277752320 | elapsed time per iteration (s): 0.76 | learning rate: 5.536E-05 | global batch size: 256 | lm loss: 2.171848E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.954 | TFLOPs: 46.01 | 7: iteration 29150/ 41007 | consumed samples: 7462400 | consumed tokens: 15282995200 | elapsed time per iteration (s): 0.77 | learning rate: 5.531E-05 | global batch size: 256 | lm loss: 2.198004E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.088 | TFLOPs: 45.62 | 7: iteration 29160/ 41007 | consumed samples: 7464960 | consumed tokens: 15288238080 | elapsed time per iteration (s): 0.77 | learning rate: 5.525E-05 | global batch size: 256 | lm loss: 2.176789E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.509 | TFLOPs: 45.40 | 7: iteration 29170/ 41007 | consumed samples: 7467520 | consumed tokens: 15293480960 | elapsed time per iteration (s): 0.76 | learning rate: 5.519E-05 | global batch size: 256 | lm loss: 2.170322E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.714 | TFLOPs: 45.98 | 7: iteration 29180/ 41007 | consumed samples: 7470080 | consumed tokens: 15298723840 | elapsed time per iteration (s): 0.76 | learning rate: 5.514E-05 | global batch size: 256 | lm loss: 2.195149E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.503 | TFLOPs: 46.08 | 7: iteration 29190/ 41007 | consumed samples: 7472640 | consumed tokens: 15303966720 | elapsed time per iteration (s): 0.76 | learning rate: 5.508E-05 | global batch size: 256 | lm loss: 2.180592E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.760 | TFLOPs: 46.39 | 7: iteration 29200/ 41007 | consumed samples: 7475200 | consumed tokens: 15309209600 | elapsed time per iteration (s): 0.76 | learning rate: 5.503E-05 | global batch size: 256 | lm loss: 2.138764E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.008 | TFLOPs: 46.15 | 7: iteration 29210/ 41007 | consumed samples: 7477760 | consumed tokens: 15314452480 | elapsed time per iteration (s): 0.77 | learning rate: 5.497E-05 | global batch size: 256 | lm loss: 2.202746E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.423 | TFLOPs: 45.39 | 7: iteration 29220/ 41007 | consumed samples: 7480320 | consumed tokens: 15319695360 | elapsed time per iteration (s): 0.77 | learning rate: 5.492E-05 | global batch size: 256 | lm loss: 2.185839E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.462 | TFLOPs: 45.94 | 7: iteration 29230/ 41007 | consumed samples: 7482880 | consumed tokens: 15324938240 | elapsed time per iteration (s): 0.76 | learning rate: 5.486E-05 | global batch size: 256 | lm loss: 2.157126E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.571 | TFLOPs: 46.09 | 7: iteration 29240/ 41007 | consumed samples: 7485440 | consumed tokens: 15330181120 | elapsed time per iteration (s): 0.76 | learning rate: 5.481E-05 | global batch size: 256 | lm loss: 2.178337E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.067 | TFLOPs: 46.30 | 7: iteration 29250/ 41007 | consumed samples: 7488000 | consumed tokens: 15335424000 | elapsed time per iteration (s): 0.76 | learning rate: 5.475E-05 | global batch size: 256 | lm loss: 2.157820E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.587 | TFLOPs: 46.10 | 7: iteration 29260/ 41007 | consumed samples: 7490560 | consumed tokens: 15340666880 | elapsed time per iteration (s): 0.76 | learning rate: 5.470E-05 | global batch size: 256 | lm loss: 2.172771E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.956 | TFLOPs: 46.42 | 7: iteration 29270/ 41007 | consumed samples: 7493120 | consumed tokens: 15345909760 | elapsed time per iteration (s): 0.76 | learning rate: 5.464E-05 | global batch size: 256 | lm loss: 2.183352E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.577 | TFLOPs: 46.37 | 7: iteration 29280/ 41007 | consumed samples: 7495680 | consumed tokens: 15351152640 | elapsed time per iteration (s): 0.77 | learning rate: 5.459E-05 | global batch size: 256 | lm loss: 2.193055E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.947 | TFLOPs: 45.73 | 7: iteration 29290/ 41007 | consumed samples: 7498240 | consumed tokens: 15356395520 | elapsed time per iteration (s): 0.77 | learning rate: 5.453E-05 | global batch size: 256 | lm loss: 2.174853E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.741 | TFLOPs: 45.84 | 7: iteration 29300/ 41007 | consumed samples: 7500800 | consumed tokens: 15361638400 | elapsed time per iteration (s): 0.76 | learning rate: 5.448E-05 | global batch size: 256 | lm loss: 2.188168E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.399 | TFLOPs: 46.34 | 7: iteration 29310/ 41007 | consumed samples: 7503360 | consumed tokens: 15366881280 | elapsed time per iteration (s): 0.77 | learning rate: 5.442E-05 | global batch size: 256 | lm loss: 2.155874E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.366 | TFLOPs: 45.79 | 7: iteration 29320/ 41007 | consumed samples: 7505920 | consumed tokens: 15372124160 | elapsed time per iteration (s): 0.78 | learning rate: 5.437E-05 | global batch size: 256 | lm loss: 2.205588E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.268 | TFLOPs: 45.36 | 7: iteration 29330/ 41007 | consumed samples: 7508480 | consumed tokens: 15377367040 | elapsed time per iteration (s): 0.77 | learning rate: 5.431E-05 | global batch size: 256 | lm loss: 2.177502E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.165 | TFLOPs: 45.76 | 7: iteration 29340/ 41007 | consumed samples: 7511040 | consumed tokens: 15382609920 | elapsed time per iteration (s): 0.76 | learning rate: 5.426E-05 | global batch size: 256 | lm loss: 2.157707E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.851 | TFLOPs: 46.27 | 7: iteration 29350/ 41007 | consumed samples: 7513600 | consumed tokens: 15387852800 | elapsed time per iteration (s): 0.76 | learning rate: 5.421E-05 | global batch size: 256 | lm loss: 2.162971E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.271 | TFLOPs: 46.19 | 7: iteration 29360/ 41007 | consumed samples: 7516160 | consumed tokens: 15393095680 | elapsed time per iteration (s): 0.77 | learning rate: 5.415E-05 | global batch size: 256 | lm loss: 2.195113E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.627 | TFLOPs: 45.96 | 7: iteration 29370/ 41007 | consumed samples: 7518720 | consumed tokens: 15398338560 | elapsed time per iteration (s): 0.77 | learning rate: 5.410E-05 | global batch size: 256 | lm loss: 2.173146E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.328 | TFLOPs: 45.37 | 7: iteration 29380/ 41007 | consumed samples: 7521280 | consumed tokens: 15403581440 | elapsed time per iteration (s): 0.77 | learning rate: 5.404E-05 | global batch size: 256 | lm loss: 2.198446E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.832 | TFLOPs: 45.72 | 7: iteration 29390/ 41007 | consumed samples: 7523840 | consumed tokens: 15408824320 | elapsed time per iteration (s): 0.77 | learning rate: 5.399E-05 | global batch size: 256 | lm loss: 2.178866E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.385 | TFLOPs: 45.38 | 7: iteration 29400/ 41007 | consumed samples: 7526400 | consumed tokens: 15414067200 | elapsed time per iteration (s): 0.78 | learning rate: 5.393E-05 | global batch size: 256 | lm loss: 2.205614E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.744 | TFLOPs: 45.16 | 7: iteration 29410/ 41007 | consumed samples: 7528960 | consumed tokens: 15419310080 | elapsed time per iteration (s): 0.76 | learning rate: 5.388E-05 | global batch size: 256 | lm loss: 2.137124E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.423 | TFLOPs: 46.07 | 7: iteration 29420/ 41007 | consumed samples: 7531520 | consumed tokens: 15424552960 | elapsed time per iteration (s): 0.76 | learning rate: 5.382E-05 | global batch size: 256 | lm loss: 2.142967E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.346 | TFLOPs: 46.34 | 7: iteration 29430/ 41007 | consumed samples: 7534080 | consumed tokens: 15429795840 | elapsed time per iteration (s): 0.78 | learning rate: 5.377E-05 | global batch size: 256 | lm loss: 2.202092E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.844 | TFLOPs: 44.89 | 7: iteration 29440/ 41007 | consumed samples: 7536640 | consumed tokens: 15435038720 | elapsed time per iteration (s): 0.77 | learning rate: 5.372E-05 | global batch size: 256 | lm loss: 2.184252E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.171 | TFLOPs: 45.76 | 7: iteration 29450/ 41007 | consumed samples: 7539200 | consumed tokens: 15440281600 | elapsed time per iteration (s): 0.78 | learning rate: 5.366E-05 | global batch size: 256 | lm loss: 2.176069E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.921 | TFLOPs: 45.18 | 7: iteration 29460/ 41007 | consumed samples: 7541760 | consumed tokens: 15445524480 | elapsed time per iteration (s): 0.79 | learning rate: 5.361E-05 | global batch size: 256 | lm loss: 2.204713E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.856 | TFLOPs: 44.62 | 7: iteration 29470/ 41007 | consumed samples: 7544320 | consumed tokens: 15450767360 | elapsed time per iteration (s): 0.79 | learning rate: 5.355E-05 | global batch size: 256 | lm loss: 2.193069E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.919 | TFLOPs: 44.77 | 7: iteration 29480/ 41007 | consumed samples: 7546880 | consumed tokens: 15456010240 | elapsed time per iteration (s): 0.77 | learning rate: 5.350E-05 | global batch size: 256 | lm loss: 2.196778E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.546 | TFLOPs: 45.68 | 7: iteration 29490/ 41007 | consumed samples: 7549440 | consumed tokens: 15461253120 | elapsed time per iteration (s): 0.76 | learning rate: 5.344E-05 | global batch size: 256 | lm loss: 2.170856E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.242 | TFLOPs: 46.05 | 7: iteration 29500/ 41007 | consumed samples: 7552000 | consumed tokens: 15466496000 | elapsed time per iteration (s): 0.77 | learning rate: 5.339E-05 | global batch size: 256 | lm loss: 2.199410E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.758 | TFLOPs: 45.57 | 7: iteration 29510/ 41007 | consumed samples: 7554560 | consumed tokens: 15471738880 | elapsed time per iteration (s): 0.76 | learning rate: 5.334E-05 | global batch size: 256 | lm loss: 2.195982E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.463 | TFLOPs: 46.22 | 7: iteration 29520/ 41007 | consumed samples: 7557120 | consumed tokens: 15476981760 | elapsed time per iteration (s): 0.78 | learning rate: 5.328E-05 | global batch size: 256 | lm loss: 2.191860E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.429 | TFLOPs: 45.11 | 7: iteration 29530/ 41007 | consumed samples: 7559680 | consumed tokens: 15482224640 | elapsed time per iteration (s): 0.76 | learning rate: 5.323E-05 | global batch size: 256 | lm loss: 2.163438E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.902 | TFLOPs: 46.41 | 7: iteration 29540/ 41007 | consumed samples: 7562240 | consumed tokens: 15487467520 | elapsed time per iteration (s): 0.78 | learning rate: 5.317E-05 | global batch size: 256 | lm loss: 2.195907E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.524 | TFLOPs: 44.85 | 7: iteration 29550/ 41007 | consumed samples: 7564800 | consumed tokens: 15492710400 | elapsed time per iteration (s): 0.77 | learning rate: 5.312E-05 | global batch size: 256 | lm loss: 2.160389E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.048 | TFLOPs: 45.61 | 7: iteration 29560/ 41007 | consumed samples: 7567360 | consumed tokens: 15497953280 | elapsed time per iteration (s): 0.76 | learning rate: 5.307E-05 | global batch size: 256 | lm loss: 2.172414E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.748 | TFLOPs: 46.39 | 7: iteration 29570/ 41007 | consumed samples: 7569920 | consumed tokens: 15503196160 | elapsed time per iteration (s): 0.75 | learning rate: 5.301E-05 | global batch size: 256 | lm loss: 2.170836E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.991 | TFLOPs: 46.84 | 7: iteration 29580/ 41007 | consumed samples: 7572480 | consumed tokens: 15508439040 | elapsed time per iteration (s): 0.77 | learning rate: 5.296E-05 | global batch size: 256 | lm loss: 2.191811E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.889 | TFLOPs: 45.73 | 7: iteration 29590/ 41007 | consumed samples: 7575040 | consumed tokens: 15513681920 | elapsed time per iteration (s): 0.78 | learning rate: 5.290E-05 | global batch size: 256 | lm loss: 2.165270E+00 | grad norm: 0.176 | num zeros: 0.0 | 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2.184331E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.219 | TFLOPs: 46.46 | 7: iteration 29630/ 41007 | consumed samples: 7585280 | consumed tokens: 15534653440 | elapsed time per iteration (s): 0.77 | learning rate: 5.269E-05 | global batch size: 256 | lm loss: 2.159166E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.289 | TFLOPs: 45.78 | 7: iteration 29640/ 41007 | consumed samples: 7587840 | consumed tokens: 15539896320 | elapsed time per iteration (s): 0.75 | learning rate: 5.263E-05 | global batch size: 256 | lm loss: 2.181693E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.771 | TFLOPs: 46.67 | 7: iteration 29650/ 41007 | consumed samples: 7590400 | consumed tokens: 15545139200 | elapsed time per iteration (s): 0.77 | learning rate: 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size: 256 | lm loss: 2.147258E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.984 | TFLOPs: 46.56 | 7: iteration 29860/ 41007 | consumed samples: 7644160 | consumed tokens: 15655239680 | elapsed time per iteration (s): 0.77 | learning rate: 5.146E-05 | global batch size: 256 | lm loss: 2.166037E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.489 | TFLOPs: 45.40 | 7: iteration 29870/ 41007 | consumed samples: 7646720 | consumed tokens: 15660482560 | elapsed time per iteration (s): 0.79 | learning rate: 5.141E-05 | global batch size: 256 | lm loss: 2.156481E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.902 | TFLOPs: 44.63 | 7: iteration 29880/ 41007 | consumed samples: 7649280 | consumed tokens: 15665725440 | elapsed time per iteration (s): 0.78 | learning rate: 5.136E-05 | global batch size: 256 | lm loss: 2.175435E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.266 | TFLOPs: 45.36 | 7: iteration 29890/ 41007 | consumed samples: 7651840 | consumed tokens: 15670968320 | elapsed time per iteration (s): 0.77 | learning rate: 5.130E-05 | global batch size: 256 | lm loss: 2.176134E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.877 | TFLOPs: 45.72 | 7: iteration 29900/ 41007 | consumed samples: 7654400 | consumed tokens: 15676211200 | elapsed time per iteration (s): 0.77 | learning rate: 5.125E-05 | global batch size: 256 | lm loss: 2.194827E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.292 | TFLOPs: 45.51 | 7: iteration 29910/ 41007 | consumed samples: 7656960 | consumed tokens: 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consumed samples: 7664640 | consumed tokens: 15697182720 | elapsed time per iteration (s): 0.77 | learning rate: 5.104E-05 | global batch size: 256 | lm loss: 2.157629E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.312 | TFLOPs: 45.92 | 7: iteration 29950/ 41007 | consumed samples: 7667200 | consumed tokens: 15702425600 | elapsed time per iteration (s): 0.75 | learning rate: 5.099E-05 | global batch size: 256 | lm loss: 2.180322E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.296 | TFLOPs: 46.88 | 7: iteration 29960/ 41007 | consumed samples: 7669760 | consumed tokens: 15707668480 | elapsed time per iteration (s): 0.76 | learning rate: 5.094E-05 | global batch size: 256 | lm loss: 2.176732E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.424 | TFLOPs: 46.35 | 7: iteration 29970/ 41007 | consumed samples: 7672320 | consumed tokens: 15712911360 | elapsed time per iteration (s): 0.78 | learning rate: 5.088E-05 | global batch size: 256 | lm loss: 2.160303E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.182 | TFLOPs: 44.94 | 7: iteration 29980/ 41007 | consumed samples: 7674880 | consumed tokens: 15718154240 | elapsed time per iteration (s): 0.77 | learning rate: 5.083E-05 | global batch size: 256 | lm loss: 2.167423E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.980 | TFLOPs: 45.74 | 7: iteration 29990/ 41007 | consumed samples: 7677440 | consumed tokens: 15723397120 | elapsed time per iteration (s): 0.77 | learning rate: 5.078E-05 | global batch size: 256 | lm loss: 2.183457E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.218 | TFLOPs: 45.63 | 0: [2022-11-28 19:23:41,849] [INFO] [logging.py:68:log_dist] [Rank 0] step=30000, skipped=0, lr=[5.072554430862317e-05, 5.072554430862317e-05, 5.072554430862317e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 30000/ 41007 | consumed samples: 7680000 | consumed tokens: 15728640000 | elapsed time per iteration (s): 0.75 | learning rate: 5.073E-05 | global batch size: 256 | lm loss: 2.189943E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.780 | TFLOPs: 46.67 | 0: steps: 30000 loss: 2.1642 iter time (s): 0.765 samples/sec: 334.563 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 30000 | lm loss value: 2.210972E+00 | lm loss PPL: 9.124584E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 30000 to checkpoints_619m22b 0: [2022-11-28 19:23:42,112] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step30000 is begin to save! 0: [2022-11-28 19:23:42,119] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step30000/layer_01-model_00-model_states.pt... 0: [2022-11-28 19:23:42,284] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step30000/layer_01-model_00-model_states.pt. 0: [2022-11-28 19:23:42,285] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step30000/layer_03-model_00-model_states.pt... 0: [2022-11-28 19:23:42,337] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step30000/layer_03-model_00-model_states.pt. 0: [2022-11-28 19:23:42,338] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step30000/layer_04-model_00-model_states.pt... 0: [2022-11-28 19:23:42,393] 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checkpoints_619m22b/global_step30000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-28 19:23:44,758] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now! 4: [2022-11-28 19:23:44,758] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now! 4: [2022-11-28 19:23:44,758] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now! 4: [2022-11-28 19:23:44,758] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step30000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-28 19:23:44,758] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step30000 is ready now! 4: [2022-11-28 19:23:44,761] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step30000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-28 19:23:44,761] [INFO] 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global_step30000 is ready now! 0: successfully saved checkpoint at iteration 30000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 2713.98 7: iteration 30010/ 41007 | consumed samples: 7682560 | consumed tokens: 15733882880 | elapsed time per iteration (s): 1.20 | learning rate: 5.067E-05 | global batch size: 256 | lm loss: 2.167433E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 212.563 | TFLOPs: 29.20 | 7: iteration 30020/ 41007 | consumed samples: 7685120 | consumed tokens: 15739125760 | elapsed time per iteration (s): 0.87 | learning rate: 5.062E-05 | global batch size: 256 | lm loss: 2.188729E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.599 | TFLOPs: 40.47 | 7: iteration 30030/ 41007 | consumed samples: 7687680 | consumed tokens: 15744368640 | elapsed time per iteration (s): 0.76 | learning rate: 5.057E-05 | global batch size: 256 | lm loss: 2.187958E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.129 | TFLOPs: 46.44 | 7: iteration 30040/ 41007 | consumed samples: 7690240 | consumed tokens: 15749611520 | elapsed time per iteration (s): 0.99 | learning rate: 5.052E-05 | global batch size: 256 | lm loss: 2.163843E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.004 | TFLOPs: 35.44 | 7: iteration 30050/ 41007 | consumed samples: 7692800 | consumed tokens: 15754854400 | elapsed time per iteration (s): 0.77 | learning rate: 5.046E-05 | global batch size: 256 | lm loss: 2.184438E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.311 | TFLOPs: 45.92 | 7: iteration 30060/ 41007 | consumed samples: 7695360 | consumed tokens: 15760097280 | elapsed time per iteration (s): 0.88 | learning rate: 5.041E-05 | global batch size: 256 | lm loss: 2.188180E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.496 | TFLOPs: 40.18 | 7: iteration 30070/ 41007 | consumed samples: 7697920 | consumed tokens: 15765340160 | elapsed time per iteration (s): 0.77 | learning rate: 5.036E-05 | global batch size: 256 | lm loss: 2.180425E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.286 | TFLOPs: 45.64 | 7: iteration 30080/ 41007 | consumed samples: 7700480 | consumed tokens: 15770583040 | elapsed time per iteration (s): 0.76 | learning rate: 5.031E-05 | global batch size: 256 | lm loss: 2.190798E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.090 | TFLOPs: 46.16 | 7: iteration 30090/ 41007 | consumed samples: 7703040 | consumed tokens: 15775825920 | elapsed time per iteration (s): 0.76 | learning rate: 5.026E-05 | global batch size: 256 | lm loss: 2.166175E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.664 | TFLOPs: 46.38 | 7: iteration 30100/ 41007 | consumed samples: 7705600 | consumed tokens: 15781068800 | elapsed time per iteration (s): 0.77 | learning rate: 5.020E-05 | global batch size: 256 | lm loss: 2.159015E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.333 | TFLOPs: 45.37 | 7: iteration 30110/ 41007 | consumed samples: 7708160 | consumed tokens: 15786311680 | elapsed time per iteration (s): 0.78 | learning rate: 5.015E-05 | global batch size: 256 | lm loss: 2.189147E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.993 | TFLOPs: 45.33 | 7: iteration 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second: 332.561 | TFLOPs: 45.68 | 7: iteration 30150/ 41007 | consumed samples: 7718400 | consumed tokens: 15807283200 | elapsed time per iteration (s): 0.76 | learning rate: 4.994E-05 | global batch size: 256 | lm loss: 2.178459E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.730 | TFLOPs: 45.98 | 7: iteration 30160/ 41007 | consumed samples: 7720960 | consumed tokens: 15812526080 | elapsed time per iteration (s): 0.79 | learning rate: 4.989E-05 | global batch size: 256 | lm loss: 2.184384E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.674 | TFLOPs: 44.60 | 7: iteration 30170/ 41007 | consumed samples: 7723520 | consumed tokens: 15817768960 | elapsed time per iteration (s): 0.76 | learning rate: 4.984E-05 | global batch size: 256 | lm loss: 2.169508E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.633 | TFLOPs: 46.24 | 7: iteration 30180/ 41007 | consumed samples: 7726080 | consumed tokens: 15823011840 | elapsed time per iteration (s): 0.75 | learning rate: 4.979E-05 | global batch size: 256 | lm loss: 2.178407E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.231 | TFLOPs: 46.60 | 7: iteration 30190/ 41007 | consumed samples: 7728640 | consumed tokens: 15828254720 | elapsed time per iteration (s): 1.01 | learning rate: 4.974E-05 | global batch size: 256 | lm loss: 2.163306E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.246 | TFLOPs: 34.65 | 7: iteration 30200/ 41007 | consumed samples: 7731200 | consumed tokens: 15833497600 | elapsed time per iteration (s): 0.77 | learning rate: 4.968E-05 | global batch size: 256 | lm loss: 2.181879E+00 | grad norm: 0.209 | num 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loss: 2.171811E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.112 | TFLOPs: 44.79 | 7: iteration 30240/ 41007 | consumed samples: 7741440 | consumed tokens: 15854469120 | elapsed time per iteration (s): 0.78 | learning rate: 4.948E-05 | global batch size: 256 | lm loss: 2.147123E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.907 | TFLOPs: 44.90 | 7: iteration 30250/ 41007 | consumed samples: 7744000 | consumed tokens: 15859712000 | elapsed time per iteration (s): 0.78 | learning rate: 4.943E-05 | global batch size: 256 | lm loss: 2.203087E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.298 | TFLOPs: 45.23 | 7: iteration 30260/ 41007 | consumed samples: 7746560 | consumed tokens: 15864954880 | elapsed time per iteration (s): 0.78 | learning rate: 4.938E-05 | global batch size: 256 | lm loss: 2.195688E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.733 | TFLOPs: 45.29 | 7: iteration 30270/ 41007 | consumed samples: 7749120 | consumed tokens: 15870197760 | elapsed time per iteration (s): 0.78 | learning rate: 4.932E-05 | global batch size: 256 | lm loss: 2.177120E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.062 | TFLOPs: 44.92 | 7: iteration 30280/ 41007 | consumed samples: 7751680 | consumed tokens: 15875440640 | elapsed time per iteration (s): 0.76 | learning rate: 4.927E-05 | global batch size: 256 | lm loss: 2.194913E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.457 | TFLOPs: 46.08 | 7: iteration 30290/ 41007 | consumed samples: 7754240 | consumed tokens: 15880683520 | elapsed time per iteration (s): 0.77 | learning rate: 4.922E-05 | global batch size: 256 | lm loss: 2.197411E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.743 | TFLOPs: 45.71 | 7: iteration 30300/ 41007 | consumed samples: 7756800 | consumed tokens: 15885926400 | elapsed time per iteration (s): 0.78 | learning rate: 4.917E-05 | global batch size: 256 | lm loss: 2.151550E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.999 | TFLOPs: 45.33 | 7: iteration 30310/ 41007 | consumed samples: 7759360 | consumed tokens: 15891169280 | elapsed time per iteration (s): 0.76 | learning rate: 4.912E-05 | global batch size: 256 | lm loss: 2.153380E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.518 | TFLOPs: 46.09 | 7: iteration 30320/ 41007 | consumed 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45.69 | 7: iteration 30350/ 41007 | consumed samples: 7769600 | consumed tokens: 15912140800 | elapsed time per iteration (s): 0.78 | learning rate: 4.891E-05 | global batch size: 256 | lm loss: 2.153460E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.176 | TFLOPs: 45.08 | 7: iteration 30360/ 41007 | consumed samples: 7772160 | consumed tokens: 15917383680 | elapsed time per iteration (s): 0.76 | learning rate: 4.886E-05 | global batch size: 256 | lm loss: 2.191192E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.778 | TFLOPs: 45.98 | 7: iteration 30370/ 41007 | consumed samples: 7774720 | consumed tokens: 15922626560 | elapsed time per iteration (s): 0.79 | learning rate: 4.881E-05 | global batch size: 256 | lm loss: 2.172503E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.039 | TFLOPs: 44.51 | 7: iteration 30380/ 41007 | consumed samples: 7777280 | consumed tokens: 15927869440 | elapsed time per iteration (s): 0.77 | learning rate: 4.876E-05 | global batch size: 256 | lm loss: 2.196862E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.561 | TFLOPs: 45.41 | 7: iteration 30390/ 41007 | consumed samples: 7779840 | consumed tokens: 15933112320 | elapsed time per iteration (s): 0.79 | learning rate: 4.871E-05 | global batch size: 256 | lm loss: 2.198412E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.135 | TFLOPs: 44.39 | 7: iteration 30400/ 41007 | consumed samples: 7782400 | consumed tokens: 15938355200 | elapsed time per iteration (s): 0.78 | learning rate: 4.866E-05 | global batch size: 256 | lm loss: 2.183967E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.215 | TFLOPs: 45.22 | 7: iteration 30410/ 41007 | consumed samples: 7784960 | consumed tokens: 15943598080 | elapsed time per iteration (s): 0.78 | learning rate: 4.861E-05 | global batch size: 256 | lm loss: 2.157268E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.636 | TFLOPs: 45.14 | 7: iteration 30420/ 41007 | consumed samples: 7787520 | consumed tokens: 15948840960 | elapsed time per iteration (s): 0.77 | learning rate: 4.856E-05 | global batch size: 256 | lm loss: 2.164491E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.595 | TFLOPs: 45.96 | 7: iteration 30430/ 41007 | consumed samples: 7790080 | consumed tokens: 15954083840 | elapsed time per iteration (s): 0.75 | learning rate: 4.851E-05 | global batch size: 256 | lm loss: 2.158362E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.840 | TFLOPs: 46.68 | 7: iteration 30440/ 41007 | consumed samples: 7792640 | consumed tokens: 15959326720 | elapsed time per iteration (s): 0.77 | learning rate: 4.845E-05 | global batch size: 256 | lm loss: 2.193428E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.861 | TFLOPs: 45.72 | 7: iteration 30450/ 41007 | consumed samples: 7795200 | consumed tokens: 15964569600 | elapsed time per iteration (s): 0.78 | learning rate: 4.840E-05 | global batch size: 256 | lm loss: 2.155200E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.916 | TFLOPs: 44.90 | 7: iteration 30460/ 41007 | consumed samples: 7797760 | consumed tokens: 15969812480 | elapsed time per iteration (s): 0.77 | learning rate: 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iteration 30550/ 41007 | consumed samples: 7820800 | consumed tokens: 16016998400 | elapsed time per iteration (s): 0.79 | learning rate: 4.790E-05 | global batch size: 256 | lm loss: 2.188526E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.611 | TFLOPs: 44.73 | 7: iteration 30560/ 41007 | consumed samples: 7823360 | consumed tokens: 16022241280 | elapsed time per iteration (s): 0.77 | learning rate: 4.785E-05 | global batch size: 256 | lm loss: 2.189829E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.679 | TFLOPs: 45.42 | 7: iteration 30570/ 41007 | consumed samples: 7825920 | consumed tokens: 16027484160 | elapsed time per iteration (s): 0.76 | learning rate: 4.780E-05 | global batch size: 256 | lm loss: 2.206730E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.748 | TFLOPs: 46.26 | 7: iteration 30580/ 41007 | consumed samples: 7828480 | consumed tokens: 16032727040 | elapsed time per iteration (s): 0.76 | learning rate: 4.775E-05 | global batch size: 256 | lm loss: 2.134931E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.352 | TFLOPs: 46.06 | 7: iteration 30590/ 41007 | consumed samples: 7831040 | consumed tokens: 16037969920 | elapsed time per iteration (s): 0.77 | learning rate: 4.770E-05 | global batch size: 256 | lm loss: 2.182132E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.378 | TFLOPs: 45.38 | 7: iteration 30600/ 41007 | consumed samples: 7833600 | consumed tokens: 16043212800 | elapsed time per iteration (s): 0.77 | learning rate: 4.765E-05 | global batch size: 256 | lm loss: 2.178653E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.800 | TFLOPs: 45.85 | 7: iteration 30610/ 41007 | consumed samples: 7836160 | consumed tokens: 16048455680 | elapsed time per iteration (s): 0.76 | learning rate: 4.760E-05 | global batch size: 256 | lm loss: 2.169600E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.937 | TFLOPs: 46.28 | 7: iteration 30620/ 41007 | consumed samples: 7838720 | consumed tokens: 16053698560 | elapsed time per iteration (s): 0.77 | learning rate: 4.755E-05 | global batch size: 256 | lm loss: 2.174036E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.856 | TFLOPs: 45.72 | 7: iteration 30630/ 41007 | consumed samples: 7841280 | consumed tokens: 16058941440 | elapsed time per iteration (s): 0.78 | learning rate: 4.750E-05 | global batch size: 256 | lm loss: 2.154194E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.960 | TFLOPs: 45.19 | 7: iteration 30640/ 41007 | consumed samples: 7843840 | consumed tokens: 16064184320 | elapsed time per iteration (s): 0.77 | learning rate: 4.745E-05 | global batch size: 256 | lm loss: 2.148235E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.265 | TFLOPs: 45.78 | 7: iteration 30650/ 41007 | consumed samples: 7846400 | consumed tokens: 16069427200 | elapsed time per iteration (s): 0.78 | learning rate: 4.740E-05 | global batch size: 256 | lm loss: 2.180781E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.523 | TFLOPs: 45.26 | 7: iteration 30660/ 41007 | consumed samples: 7848960 | consumed tokens: 16074670080 | elapsed time per iteration (s): 0.77 | learning rate: 4.735E-05 | global batch size: 256 | lm loss: 2.172028E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.056 | TFLOPs: 45.61 | 7: iteration 30670/ 41007 | consumed samples: 7851520 | consumed tokens: 16079912960 | elapsed time per iteration (s): 0.77 | learning rate: 4.730E-05 | global batch size: 256 | lm loss: 2.184884E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.245 | TFLOPs: 45.77 | 7: iteration 30680/ 41007 | consumed samples: 7854080 | consumed tokens: 16085155840 | elapsed time per iteration (s): 0.78 | learning rate: 4.725E-05 | global batch size: 256 | lm loss: 2.216864E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.073 | TFLOPs: 44.93 | 7: iteration 30690/ 41007 | consumed samples: 7856640 | consumed tokens: 16090398720 | elapsed time per iteration (s): 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consumed samples: 7872000 | consumed tokens: 16121856000 | elapsed time per iteration (s): 0.78 | learning rate: 4.690E-05 | global batch size: 256 | lm loss: 2.167793E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.052 | TFLOPs: 44.92 | 7: iteration 30760/ 41007 | consumed samples: 7874560 | consumed tokens: 16127098880 | elapsed time per iteration (s): 0.79 | learning rate: 4.685E-05 | global batch size: 256 | lm loss: 2.164757E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.806 | TFLOPs: 44.75 | 7: iteration 30770/ 41007 | consumed samples: 7877120 | consumed tokens: 16132341760 | elapsed time per iteration (s): 0.77 | learning rate: 4.680E-05 | global batch size: 256 | lm loss: 2.149954E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.110 | TFLOPs: 45.48 | 7: iteration 30780/ 41007 | consumed samples: 7879680 | consumed tokens: 16137584640 | elapsed time per iteration (s): 0.76 | learning rate: 4.675E-05 | global batch size: 256 | lm loss: 2.177064E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.201 | TFLOPs: 46.04 | 7: iteration 30790/ 41007 | consumed samples: 7882240 | consumed tokens: 16142827520 | elapsed time per iteration (s): 0.76 | learning rate: 4.670E-05 | global batch size: 256 | lm loss: 2.129249E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.933 | TFLOPs: 46.28 | 7: iteration 30800/ 41007 | consumed samples: 7884800 | consumed tokens: 16148070400 | elapsed time per iteration (s): 0.79 | learning rate: 4.665E-05 | global batch size: 256 | lm loss: 2.176044E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.583 | TFLOPs: 44.58 | 7: iteration 30810/ 41007 | consumed samples: 7887360 | consumed tokens: 16153313280 | elapsed time per iteration (s): 0.79 | learning rate: 4.660E-05 | global batch size: 256 | lm loss: 2.153193E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.506 | TFLOPs: 44.44 | 7: iteration 30820/ 41007 | consumed samples: 7889920 | consumed tokens: 16158556160 | elapsed time per iteration (s): 0.77 | learning rate: 4.655E-05 | global batch size: 256 | lm loss: 2.168332E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.252 | TFLOPs: 45.64 | 7: iteration 30830/ 41007 | consumed samples: 7892480 | consumed tokens: 16163799040 | elapsed time per iteration (s): 0.77 | learning rate: 4.650E-05 | global batch size: 256 | lm loss: 2.154650E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.179 | TFLOPs: 45.63 | 7: iteration 30840/ 41007 | consumed samples: 7895040 | consumed tokens: 16169041920 | elapsed time per iteration (s): 0.78 | learning rate: 4.645E-05 | global batch size: 256 | lm loss: 2.188019E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.889 | TFLOPs: 45.18 | 7: iteration 30850/ 41007 | consumed samples: 7897600 | consumed tokens: 16174284800 | elapsed time per iteration (s): 0.76 | learning rate: 4.640E-05 | global batch size: 256 | lm loss: 2.176350E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.412 | TFLOPs: 46.35 | 7: iteration 30860/ 41007 | consumed samples: 7900160 | consumed tokens: 16179527680 | elapsed time per iteration (s): 0.77 | learning rate: 4.635E-05 | global batch size: 256 | lm loss: 2.163916E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.874 | TFLOPs: 45.72 | 7: iteration 30870/ 41007 | consumed samples: 7902720 | consumed tokens: 16184770560 | elapsed time per iteration (s): 0.76 | learning rate: 4.630E-05 | global batch size: 256 | lm loss: 2.187734E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.754 | TFLOPs: 46.26 | 7: iteration 30880/ 41007 | consumed samples: 7905280 | consumed tokens: 16190013440 | elapsed time per iteration (s): 0.78 | learning rate: 4.625E-05 | global batch size: 256 | lm loss: 2.152773E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.747 | TFLOPs: 45.02 | 7: iteration 30890/ 41007 | consumed samples: 7907840 | consumed tokens: 16195256320 | elapsed time per iteration (s): 0.78 | learning rate: 4.621E-05 | global batch size: 256 | lm loss: 2.172342E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.964 | TFLOPs: 45.19 | 7: iteration 30900/ 41007 | consumed samples: 7910400 | consumed tokens: 16200499200 | elapsed time per iteration (s): 0.77 | learning rate: 4.616E-05 | global batch size: 256 | lm loss: 2.154792E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.586 | TFLOPs: 45.82 | 7: iteration 30910/ 41007 | consumed samples: 7912960 | consumed tokens: 16205742080 | elapsed time per iteration (s): 0.77 | learning rate: 4.611E-05 | global batch size: 256 | lm loss: 2.154899E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.077 | TFLOPs: 45.89 | 7: iteration 30920/ 41007 | consumed samples: 7915520 | consumed tokens: 16210984960 | elapsed time per iteration (s): 0.75 | learning rate: 4.606E-05 | global batch size: 256 | lm loss: 2.179640E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.549 | TFLOPs: 46.78 | 7: iteration 30930/ 41007 | consumed samples: 7918080 | consumed tokens: 16216227840 | elapsed time per iteration (s): 0.78 | learning rate: 4.601E-05 | global batch size: 256 | lm loss: 2.164251E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.189 | TFLOPs: 45.22 | 7: iteration 30940/ 41007 | consumed samples: 7920640 | consumed tokens: 16221470720 | elapsed time per iteration (s): 0.79 | learning rate: 4.596E-05 | global batch size: 256 | lm loss: 2.176217E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.361 | TFLOPs: 44.42 | 7: iteration 30950/ 41007 | consumed samples: 7923200 | consumed tokens: 16226713600 | elapsed time per iteration (s): 0.79 | learning rate: 4.591E-05 | global batch size: 256 | lm loss: 2.151461E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.948 | TFLOPs: 44.50 | 7: iteration 30960/ 41007 | consumed samples: 7925760 | consumed tokens: 16231956480 | elapsed time per iteration (s): 0.77 | learning rate: 4.586E-05 | global batch size: 256 | lm loss: 2.186512E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.638 | TFLOPs: 45.69 | 7: iteration 30970/ 41007 | consumed samples: 7928320 | consumed tokens: 16237199360 | elapsed time per iteration (s): 0.76 | learning rate: 4.581E-05 | global batch size: 256 | lm loss: 2.177789E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.844 | TFLOPs: 46.27 | 7: iteration 30980/ 41007 | consumed samples: 7930880 | consumed tokens: 16242442240 | elapsed time per iteration (s): 0.78 | learning rate: 4.576E-05 | global batch size: 256 | lm loss: 2.134451E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.546 | TFLOPs: 45.27 | 7: iteration 30990/ 41007 | consumed samples: 7933440 | consumed tokens: 16247685120 | elapsed time per iteration (s): 0.79 | learning rate: 4.572E-05 | global batch size: 256 | lm loss: 2.165857E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.030 | TFLOPs: 44.78 | 7: iteration 31000/ 41007 | consumed samples: 7936000 | consumed tokens: 16252928000 | elapsed time per iteration (s): 0.78 | learning rate: 4.567E-05 | global batch size: 256 | lm loss: 2.174733E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.638 | TFLOPs: 45.28 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 31000 | lm loss value: 2.071018E+00 | lm loss PPL: 7.932895E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 31000 to checkpoints_619m22b 0: [2022-11-28 19:36:44,825] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step31000 is begin to save! 0: [2022-11-28 19:36:44,866] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step31000/layer_01-model_00-model_states.pt... 0: [2022-11-28 19:36:45,152] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step31000/layer_01-model_00-model_states.pt. 0: [2022-11-28 19:36:45,152] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step31000/layer_03-model_00-model_states.pt... 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-28 19:36:46,461] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-28 19:36:46,461] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now! 1: [2022-11-28 19:36:46,461] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-28 19:36:46,461] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-28 19:36:46,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now! 1: [2022-11-28 19:36:46,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-28 19:36:46,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-28 19:36:46,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now! 7: [2022-11-28 19:36:46,482] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-28 19:36:46,482] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now! 0: [2022-11-28 19:36:46,504] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-28 19:36:46,505] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-28 19:36:46,505] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-28 19:36:46,505] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now! 0: [2022-11-28 19:36:46,505] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-28 19:36:46,505] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-28 19:36:46,505] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now! 0: [2022-11-28 19:36:46,595] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step31000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 19:36:46,595] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step31000 is ready now! 0: successfully saved checkpoint at iteration 31000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1775.94 7: iteration 31010/ 41007 | consumed samples: 7938560 | consumed tokens: 16258170880 | elapsed time per iteration (s): 0.99 | learning rate: 4.562E-05 | global batch size: 256 | lm loss: 2.182287E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 259.159 | TFLOPs: 35.60 | 7: iteration 31020/ 41007 | consumed samples: 7941120 | consumed tokens: 16263413760 | elapsed time per iteration (s): 0.76 | learning rate: 4.557E-05 | global batch size: 256 | lm loss: 2.221921E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.061 | TFLOPs: 46.30 | 7: iteration 31030/ 41007 | consumed samples: 7943680 | consumed tokens: 16268656640 | elapsed time per iteration (s): 0.78 | learning rate: 4.552E-05 | global batch size: 256 | lm loss: 2.166259E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.161 | TFLOPs: 45.35 | 7: iteration 31040/ 41007 | consumed samples: 7946240 | consumed tokens: 16273899520 | elapsed time per iteration (s): 0.77 | learning rate: 4.547E-05 | global batch size: 256 | lm loss: 2.230822E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.696 | TFLOPs: 45.42 | 7: iteration 31050/ 41007 | consumed samples: 7948800 | consumed tokens: 16279142400 | elapsed time per iteration (s): 0.79 | learning rate: 4.542E-05 | global batch size: 256 | lm loss: 2.163391E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.056 | TFLOPs: 44.51 | 7: iteration 31060/ 41007 | consumed samples: 7951360 | consumed tokens: 16284385280 | elapsed time per iteration (s): 0.78 | learning rate: 4.538E-05 | global batch size: 256 | lm loss: 2.158567E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.880 | TFLOPs: 45.31 | 7: iteration 31070/ 41007 | consumed samples: 7953920 | consumed tokens: 16289628160 | elapsed time per iteration (s): 0.78 | learning rate: 4.533E-05 | global batch size: 256 | lm loss: 2.209665E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.302 | TFLOPs: 44.82 | 7: iteration 31080/ 41007 | consumed samples: 7956480 | consumed tokens: 16294871040 | elapsed time per iteration (s): 0.77 | learning rate: 4.528E-05 | global batch size: 256 | lm loss: 2.190022E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.387 | TFLOPs: 45.93 | 7: iteration 31090/ 41007 | consumed samples: 7959040 | consumed tokens: 16300113920 | elapsed time per iteration (s): 0.77 | learning rate: 4.523E-05 | global batch size: 256 | lm loss: 2.191958E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.492 | TFLOPs: 45.40 | 7: iteration 31100/ 41007 | consumed samples: 7961600 | consumed tokens: 16305356800 | elapsed time per iteration (s): 0.78 | learning rate: 4.518E-05 | global batch size: 256 | lm loss: 2.159228E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.445 | TFLOPs: 45.25 | 7: iteration 31110/ 41007 | consumed samples: 7964160 | consumed tokens: 16310599680 | elapsed time per iteration (s): 0.78 | learning rate: 4.513E-05 | global batch size: 256 | lm loss: 2.183956E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.170 | TFLOPs: 45.35 | 7: iteration 31120/ 41007 | consumed samples: 7966720 | consumed tokens: 16315842560 | elapsed time per iteration (s): 0.78 | learning rate: 4.509E-05 | global batch size: 256 | lm loss: 2.163755E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.898 | TFLOPs: 45.31 | 7: iteration 31130/ 41007 | consumed samples: 7969280 | consumed tokens: 16321085440 | elapsed time per iteration (s): 0.77 | learning rate: 4.504E-05 | global batch size: 256 | lm loss: 2.200236E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.895 | TFLOPs: 45.86 | 7: iteration 31140/ 41007 | consumed samples: 7971840 | consumed tokens: 16326328320 | elapsed time per iteration (s): 0.77 | learning rate: 4.499E-05 | global batch size: 256 | lm loss: 2.171135E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.780 | TFLOPs: 45.85 | 7: iteration 31150/ 41007 | consumed samples: 7974400 | consumed tokens: 16331571200 | elapsed time per iteration (s): 0.77 | learning rate: 4.494E-05 | global batch size: 256 | lm loss: 2.155710E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.370 | TFLOPs: 45.79 | 7: iteration 31160/ 41007 | consumed samples: 7976960 | consumed tokens: 16336814080 | elapsed time per iteration (s): 0.77 | learning rate: 4.489E-05 | global batch size: 256 | lm loss: 2.162292E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.582 | TFLOPs: 45.82 | 7: iteration 31170/ 41007 | consumed samples: 7979520 | consumed tokens: 16342056960 | elapsed time per iteration (s): 0.76 | learning rate: 4.485E-05 | global batch size: 256 | lm loss: 2.171652E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.693 | TFLOPs: 45.97 | 7: iteration 31180/ 41007 | consumed samples: 7982080 | consumed tokens: 16347299840 | elapsed time per iteration (s): 0.94 | learning rate: 4.480E-05 | global batch size: 256 | lm loss: 2.185819E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 273.619 | TFLOPs: 37.58 | 7: iteration 31190/ 41007 | consumed samples: 7984640 | consumed tokens: 16352542720 | elapsed time per iteration (s): 0.76 | learning rate: 4.475E-05 | global batch size: 256 | lm loss: 2.163056E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.240 | TFLOPs: 46.46 | 7: iteration 31200/ 41007 | consumed samples: 7987200 | consumed tokens: 16357785600 | elapsed time per iteration (s): 0.78 | learning rate: 4.470E-05 | global batch size: 256 | lm loss: 2.170787E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.056 | TFLOPs: 45.20 | 7: iteration 31210/ 41007 | consumed samples: 7989760 | consumed tokens: 16363028480 | elapsed time per iteration (s): 0.77 | learning rate: 4.465E-05 | global batch size: 256 | lm loss: 2.161750E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.484 | TFLOPs: 45.67 | 7: iteration 31220/ 41007 | consumed samples: 7992320 | consumed tokens: 16368271360 | elapsed time per iteration (s): 0.76 | learning rate: 4.461E-05 | global batch size: 256 | lm loss: 2.186651E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.958 | TFLOPs: 46.15 | 7: iteration 31230/ 41007 | consumed samples: 7994880 | consumed tokens: 16373514240 | elapsed time per iteration (s): 0.76 | learning rate: 4.456E-05 | global batch size: 256 | lm loss: 2.164869E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.209 | TFLOPs: 46.32 | 7: iteration 31240/ 41007 | consumed samples: 7997440 | consumed tokens: 16378757120 | elapsed time per iteration (s): 0.75 | learning rate: 4.451E-05 | global batch size: 256 | lm loss: 2.186592E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.075 | TFLOPs: 46.85 | 7: iteration 31250/ 41007 | consumed samples: 8000000 | consumed tokens: 16384000000 | elapsed time per iteration (s): 0.78 | learning rate: 4.446E-05 | global batch size: 256 | lm loss: 2.161067E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.096 | TFLOPs: 44.93 | 7: iteration 31260/ 41007 | consumed samples: 8002560 | consumed tokens: 16389242880 | elapsed time per iteration (s): 0.77 | learning rate: 4.441E-05 | global batch size: 256 | lm loss: 2.141089E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.615 | TFLOPs: 45.96 | 7: iteration 31270/ 41007 | consumed samples: 8005120 | consumed tokens: 16394485760 | elapsed time per iteration (s): 0.77 | learning rate: 4.437E-05 | global batch size: 256 | lm loss: 2.139530E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.193 | TFLOPs: 45.63 | 7: iteration 31280/ 41007 | consumed samples: 8007680 | consumed tokens: 16399728640 | elapsed time per iteration (s): 0.78 | learning rate: 4.432E-05 | global batch size: 256 | lm loss: 2.149409E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.029 | TFLOPs: 45.33 | 7: iteration 31290/ 41007 | consumed samples: 8010240 | consumed tokens: 16404971520 | elapsed time per iteration (s): 0.77 | learning rate: 4.427E-05 | global batch size: 256 | lm loss: 2.144175E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.560 | TFLOPs: 45.41 | 7: iteration 31300/ 41007 | consumed samples: 8012800 | consumed tokens: 16410214400 | elapsed time per iteration (s): 0.76 | learning rate: 4.422E-05 | global batch size: 256 | lm loss: 2.174595E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.268 | TFLOPs: 46.33 | 7: iteration 31310/ 41007 | consumed samples: 8015360 | consumed tokens: 16415457280 | elapsed time per iteration (s): 0.77 | learning rate: 4.418E-05 | global batch size: 256 | lm loss: 2.133880E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.085 | TFLOPs: 45.48 | 7: iteration 31320/ 41007 | consumed samples: 8017920 | consumed tokens: 16420700160 | elapsed time per iteration (s): 0.79 | learning rate: 4.413E-05 | global batch size: 256 | lm loss: 2.186249E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.124 | TFLOPs: 44.52 | 7: iteration 31330/ 41007 | consumed samples: 8020480 | consumed tokens: 16425943040 | elapsed time per iteration (s): 0.76 | learning rate: 4.408E-05 | global batch size: 256 | lm loss: 2.151947E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.761 | TFLOPs: 45.98 | 7: iteration 31340/ 41007 | consumed samples: 8023040 | consumed tokens: 16431185920 | elapsed time per iteration (s): 0.77 | learning rate: 4.403E-05 | global batch size: 256 | lm loss: 2.191825E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.019 | TFLOPs: 45.47 | 7: iteration 31350/ 41007 | consumed samples: 8025600 | consumed tokens: 16436428800 | elapsed time per iteration (s): 0.76 | learning rate: 4.399E-05 | global batch size: 256 | lm loss: 2.154100E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.708 | TFLOPs: 46.25 | 7: iteration 31360/ 41007 | consumed samples: 8028160 | consumed tokens: 16441671680 | elapsed time per iteration (s): 0.76 | learning rate: 4.394E-05 | global batch size: 256 | lm loss: 2.190863E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.504 | TFLOPs: 46.22 | 7: iteration 31370/ 41007 | consumed samples: 8030720 | consumed tokens: 16446914560 | elapsed time per iteration (s): 0.76 | learning rate: 4.389E-05 | global batch size: 256 | lm loss: 2.152673E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.357 | TFLOPs: 46.20 | 7: iteration 31380/ 41007 | consumed samples: 8033280 | consumed tokens: 16452157440 | elapsed time per iteration (s): 0.77 | learning rate: 4.384E-05 | global batch size: 256 | lm loss: 2.151149E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.435 | TFLOPs: 45.39 | 7: iteration 31390/ 41007 | consumed samples: 8035840 | consumed tokens: 16457400320 | elapsed time per iteration (s): 0.76 | learning rate: 4.380E-05 | global batch size: 256 | lm loss: 2.187184E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.036 | TFLOPs: 46.29 | 7: iteration 31400/ 41007 | consumed samples: 8038400 | consumed tokens: 16462643200 | elapsed time per iteration (s): 0.79 | learning rate: 4.375E-05 | global batch size: 256 | lm loss: 2.162327E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.542 | TFLOPs: 44.72 | 7: iteration 31410/ 41007 | consumed samples: 8040960 | consumed tokens: 16467886080 | elapsed time per iteration (s): 0.78 | learning rate: 4.370E-05 | global batch size: 256 | lm loss: 2.168584E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.508 | TFLOPs: 45.12 | 7: iteration 31420/ 41007 | consumed samples: 8043520 | consumed tokens: 16473128960 | elapsed time per iteration (s): 0.77 | learning rate: 4.366E-05 | global batch size: 256 | lm loss: 2.149753E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.813 | TFLOPs: 45.58 | 7: iteration 31430/ 41007 | consumed samples: 8046080 | consumed tokens: 16478371840 | elapsed time per iteration (s): 0.77 | learning rate: 4.361E-05 | global batch size: 256 | lm loss: 2.187932E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.347 | TFLOPs: 45.38 | 7: iteration 31440/ 41007 | consumed samples: 8048640 | consumed tokens: 16483614720 | elapsed time per iteration (s): 0.78 | learning rate: 4.356E-05 | global batch size: 256 | lm loss: 2.173666E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.363 | TFLOPs: 44.83 | 7: iteration 31450/ 41007 | consumed samples: 8051200 | consumed tokens: 16488857600 | elapsed time per iteration (s): 0.79 | learning rate: 4.352E-05 | global batch size: 256 | lm loss: 2.148599E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.731 | TFLOPs: 44.60 | 7: iteration 31460/ 41007 | consumed samples: 8053760 | consumed tokens: 16494100480 | elapsed time per iteration (s): 0.76 | learning rate: 4.347E-05 | global batch size: 256 | lm loss: 2.194980E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.880 | TFLOPs: 46.27 | 7: iteration 31470/ 41007 | consumed samples: 8056320 | consumed tokens: 16499343360 | elapsed time per iteration (s): 0.76 | learning rate: 4.342E-05 | global batch size: 256 | lm loss: 2.200534E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.231 | TFLOPs: 46.18 | 7: iteration 31480/ 41007 | consumed samples: 8058880 | consumed tokens: 16504586240 | elapsed time per iteration (s): 0.80 | learning rate: 4.337E-05 | global batch size: 256 | lm loss: 2.176267E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.265 | TFLOPs: 44.13 | 7: iteration 31490/ 41007 | consumed samples: 8061440 | consumed tokens: 16509829120 | elapsed time per iteration (s): 0.77 | learning rate: 4.333E-05 | global batch size: 256 | lm loss: 2.152978E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.058 | TFLOPs: 45.89 | 7: iteration 31500/ 41007 | consumed samples: 8064000 | consumed tokens: 16515072000 | elapsed time per iteration (s): 0.76 | learning rate: 4.328E-05 | global batch size: 256 | lm loss: 2.164256E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.967 | TFLOPs: 46.42 | 7: iteration 31510/ 41007 | consumed samples: 8066560 | consumed tokens: 16520314880 | elapsed time per iteration (s): 0.77 | learning rate: 4.323E-05 | global batch size: 256 | lm loss: 2.206508E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.513 | TFLOPs: 45.54 | 7: iteration 31520/ 41007 | consumed samples: 8069120 | consumed tokens: 16525557760 | elapsed time per iteration (s): 0.77 | learning rate: 4.319E-05 | global batch size: 256 | lm loss: 2.126698E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.065 | TFLOPs: 45.47 | 7: iteration 31530/ 41007 | consumed samples: 8071680 | consumed tokens: 16530800640 | elapsed time per iteration (s): 0.77 | learning rate: 4.314E-05 | global batch size: 256 | lm loss: 2.142667E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.678 | TFLOPs: 45.83 | 7: iteration 31540/ 41007 | consumed samples: 8074240 | consumed tokens: 16536043520 | elapsed time per iteration (s): 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0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.470 | TFLOPs: 44.57 | 7: iteration 31920/ 41007 | consumed samples: 8171520 | consumed tokens: 16735272960 | elapsed time per iteration (s): 0.76 | learning rate: 4.135E-05 | global batch size: 256 | lm loss: 2.137102E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.885 | TFLOPs: 46.41 | 7: iteration 31930/ 41007 | consumed samples: 8174080 | consumed tokens: 16740515840 | elapsed time per iteration (s): 0.78 | learning rate: 4.131E-05 | global batch size: 256 | lm loss: 2.164395E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.750 | TFLOPs: 45.16 | 7: iteration 31940/ 41007 | consumed samples: 8176640 | consumed tokens: 16745758720 | elapsed time per iteration (s): 0.76 | learning rate: 4.126E-05 | global batch size: 256 | lm loss: 2.179051E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.672 | TFLOPs: 45.97 | 7: iteration 31950/ 41007 | consumed samples: 8179200 | consumed tokens: 16751001600 | elapsed time per iteration (s): 0.77 | learning rate: 4.122E-05 | global batch size: 256 | lm loss: 2.148820E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.111 | TFLOPs: 45.76 | 7: iteration 31960/ 41007 | consumed samples: 8181760 | consumed tokens: 16756244480 | elapsed time per iteration (s): 0.77 | learning rate: 4.117E-05 | global batch size: 256 | lm loss: 2.132312E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.874 | TFLOPs: 45.45 | 7: iteration 31970/ 41007 | consumed samples: 8184320 | consumed tokens: 16761487360 | elapsed time per iteration (s): 0.76 | learning rate: 4.113E-05 | global batch size: 256 | lm loss: 2.183411E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.739 | TFLOPs: 45.98 | 7: iteration 31980/ 41007 | consumed samples: 8186880 | consumed tokens: 16766730240 | elapsed time per iteration (s): 0.76 | learning rate: 4.108E-05 | global batch size: 256 | lm loss: 2.163109E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.867 | TFLOPs: 46.41 | 7: iteration 31990/ 41007 | consumed samples: 8189440 | consumed tokens: 16771973120 | elapsed time per iteration (s): 0.78 | learning rate: 4.104E-05 | global batch size: 256 | lm loss: 2.165305E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.498 | TFLOPs: 45.26 | 0: [2022-11-28 19:49:38,207] [INFO] [logging.py:68:log_dist] [Rank 0] step=32000, skipped=0, lr=[4.099442464182449e-05, 4.099442464182449e-05, 4.099442464182449e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 32000/ 41007 | consumed samples: 8192000 | consumed tokens: 16777216000 | elapsed time per iteration (s): 0.77 | learning rate: 4.099E-05 | global batch size: 256 | lm loss: 2.143708E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.660 | TFLOPs: 45.56 | 0: steps: 32000 loss: 2.0674 iter time (s): 0.773 samples/sec: 330.964 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 32000 | lm loss value: 2.029701E+00 | lm loss PPL: 7.611808E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 32000 to checkpoints_619m22b 0: [2022-11-28 19:49:38,497] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step32000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-28 19:49:39,898] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step32000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-28 19:49:39,898] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now! 6: [2022-11-28 19:49:39,900] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step32000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-28 19:49:39,900] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step32000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-28 19:49:39,900] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step32000 is ready now! 2: [2022-11-28 19:49:39,901] [INFO] 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7: iteration 32010/ 41007 | consumed samples: 8194560 | consumed tokens: 16782458880 | elapsed time per iteration (s): 0.97 | learning rate: 4.095E-05 | global batch size: 256 | lm loss: 2.163778E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.596 | TFLOPs: 36.21 | 7: iteration 32020/ 41007 | consumed samples: 8197120 | consumed tokens: 16787701760 | elapsed time per iteration (s): 0.76 | learning rate: 4.091E-05 | global batch size: 256 | lm loss: 2.143488E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.686 | TFLOPs: 46.38 | 7: iteration 32030/ 41007 | consumed samples: 8199680 | consumed tokens: 16792944640 | elapsed time per iteration (s): 0.76 | learning rate: 4.086E-05 | global batch size: 256 | lm loss: 2.169320E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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0.77 | learning rate: 4.033E-05 | global batch size: 256 | lm loss: 2.151775E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.462 | TFLOPs: 45.67 | 7: iteration 32160/ 41007 | consumed samples: 8232960 | consumed tokens: 16861102080 | elapsed time per iteration (s): 0.78 | learning rate: 4.028E-05 | global batch size: 256 | lm loss: 2.187289E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.466 | TFLOPs: 45.25 | 7: iteration 32170/ 41007 | consumed samples: 8235520 | consumed tokens: 16866344960 | elapsed time per iteration (s): 0.77 | learning rate: 4.024E-05 | global batch size: 256 | lm loss: 2.150448E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.337 | TFLOPs: 45.65 | 7: iteration 32180/ 41007 | consumed samples: 8238080 | consumed tokens: 16871587840 | elapsed time per iteration (s): 0.76 | learning rate: 4.020E-05 | global batch size: 256 | lm loss: 2.157974E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.456 | TFLOPs: 46.35 | 7: iteration 32190/ 41007 | consumed samples: 8240640 | consumed tokens: 16876830720 | elapsed time per iteration (s): 0.78 | learning rate: 4.015E-05 | global batch size: 256 | lm loss: 2.162127E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.580 | TFLOPs: 44.86 | 7: iteration 32200/ 41007 | consumed samples: 8243200 | consumed tokens: 16882073600 | elapsed time per iteration (s): 0.76 | learning rate: 4.011E-05 | global batch size: 256 | lm loss: 2.178355E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.747 | TFLOPs: 46.39 | 7: iteration 32210/ 41007 | 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iteration 32440/ 41007 | consumed samples: 8304640 | consumed tokens: 17007902720 | elapsed time per iteration (s): 0.77 | learning rate: 3.907E-05 | global batch size: 256 | lm loss: 2.186735E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.210 | TFLOPs: 45.77 | 7: iteration 32450/ 41007 | consumed samples: 8307200 | consumed tokens: 17013145600 | elapsed time per iteration (s): 0.76 | learning rate: 3.902E-05 | global batch size: 256 | lm loss: 2.146659E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.068 | TFLOPs: 46.57 | 7: iteration 32460/ 41007 | consumed samples: 8309760 | consumed tokens: 17018388480 | elapsed time per iteration (s): 0.78 | learning rate: 3.898E-05 | global batch size: 256 | lm loss: 2.162654E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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time per iteration (s): 0.77 | learning rate: 3.751E-05 | global batch size: 256 | lm loss: 2.175967E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.580 | TFLOPs: 45.55 | 7: iteration 32820/ 41007 | consumed samples: 8401920 | consumed tokens: 17207132160 | elapsed time per iteration (s): 0.76 | learning rate: 3.747E-05 | global batch size: 256 | lm loss: 2.178947E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.407 | TFLOPs: 46.35 | 7: iteration 32830/ 41007 | consumed samples: 8404480 | consumed tokens: 17212375040 | elapsed time per iteration (s): 0.75 | learning rate: 3.743E-05 | global batch size: 256 | lm loss: 2.198760E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.264 | TFLOPs: 46.60 | 7: iteration 32840/ 41007 | consumed samples: 8407040 | consumed tokens: 17217617920 | elapsed time per iteration (s): 0.76 | learning rate: 3.739E-05 | global batch size: 256 | lm loss: 2.176014E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.750 | TFLOPs: 46.53 | 7: iteration 32850/ 41007 | consumed samples: 8409600 | consumed tokens: 17222860800 | elapsed time per iteration (s): 0.77 | learning rate: 3.735E-05 | global batch size: 256 | lm loss: 2.143667E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.865 | TFLOPs: 45.86 | 7: iteration 32860/ 41007 | consumed samples: 8412160 | consumed tokens: 17228103680 | elapsed time per iteration (s): 0.75 | learning rate: 3.730E-05 | global batch size: 256 | lm loss: 2.172349E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.253 | TFLOPs: 46.74 | 7: 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samples per second: 330.981 | TFLOPs: 45.46 | 7: iteration 32900/ 41007 | consumed samples: 8422400 | consumed tokens: 17249075200 | elapsed time per iteration (s): 0.78 | learning rate: 3.714E-05 | global batch size: 256 | lm loss: 2.154488E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.742 | TFLOPs: 45.29 | 7: iteration 32910/ 41007 | consumed samples: 8424960 | consumed tokens: 17254318080 | elapsed time per iteration (s): 0.77 | learning rate: 3.710E-05 | global batch size: 256 | lm loss: 2.154349E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.248 | TFLOPs: 45.91 | 7: iteration 32920/ 41007 | consumed samples: 8427520 | consumed tokens: 17259560960 | elapsed time per iteration (s): 0.76 | learning rate: 3.706E-05 | global batch size: 256 | lm loss: 2.145157E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.925 | TFLOPs: 46.14 | 7: iteration 32930/ 41007 | consumed samples: 8430080 | consumed tokens: 17264803840 | elapsed time per iteration (s): 0.75 | learning rate: 3.702E-05 | global batch size: 256 | lm loss: 2.193945E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.271 | TFLOPs: 46.60 | 7: iteration 32940/ 41007 | consumed samples: 8432640 | consumed tokens: 17270046720 | elapsed time per iteration (s): 0.76 | learning rate: 3.698E-05 | global batch size: 256 | lm loss: 2.188193E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.138 | TFLOPs: 46.03 | 7: iteration 32950/ 41007 | consumed samples: 8435200 | consumed tokens: 17275289600 | elapsed time per iteration (s): 0.76 | learning rate: 3.694E-05 | global batch size: 256 | lm loss: 2.185812E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.897 | TFLOPs: 46.28 | 7: iteration 32960/ 41007 | consumed samples: 8437760 | consumed tokens: 17280532480 | elapsed time per iteration (s): 0.76 | learning rate: 3.690E-05 | global batch size: 256 | lm loss: 2.158879E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.309 | TFLOPs: 46.33 | 7: iteration 32970/ 41007 | consumed samples: 8440320 | consumed tokens: 17285775360 | elapsed time per iteration (s): 0.76 | learning rate: 3.686E-05 | global batch size: 256 | lm loss: 2.169875E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.844 | TFLOPs: 46.13 | 7: iteration 32980/ 41007 | consumed samples: 8442880 | consumed tokens: 17291018240 | elapsed time per iteration (s): 0.77 | learning rate: 3.682E-05 | global batch size: 256 | lm loss: 2.187253E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.397 | TFLOPs: 45.93 | 7: iteration 32990/ 41007 | consumed samples: 8445440 | consumed tokens: 17296261120 | elapsed time per iteration (s): 0.76 | learning rate: 3.677E-05 | global batch size: 256 | lm loss: 2.136599E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.173 | TFLOPs: 46.45 | 7: iteration 33000/ 41007 | consumed samples: 8448000 | consumed tokens: 17301504000 | elapsed time per iteration (s): 0.77 | learning rate: 3.673E-05 | global batch size: 256 | lm loss: 2.193183E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.424 | TFLOPs: 45.39 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 33000 | lm loss value: 2.121336E+00 | lm loss PPL: 8.342271E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 33000 to checkpoints_619m22b 0: [2022-11-28 20:02:23,135] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step33000 is begin to save! 0: [2022-11-28 20:02:23,140] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step33000/layer_01-model_00-model_states.pt... 0: [2022-11-28 20:02:23,316] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/layer_01-model_00-model_states.pt. 0: [2022-11-28 20:02:23,316] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step33000/layer_03-model_00-model_states.pt... 0: [2022-11-28 20:02:23,374] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/layer_03-model_00-model_states.pt. 0: 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-28 20:02:24,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 7: [2022-11-28 20:02:24,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 7: [2022-11-28 20:02:24,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 7: [2022-11-28 20:02:24,810] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 2: [2022-11-28 20:02:24,870] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-28 20:02:24,870] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 0: [2022-11-28 20:02:24,919] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step33000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 20:02:24,919] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step33000 is ready now! 0: successfully saved checkpoint at iteration 33000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1823.00 7: iteration 33010/ 41007 | consumed samples: 8450560 | consumed tokens: 17306746880 | elapsed time per iteration (s): 0.97 | learning rate: 3.669E-05 | global batch size: 256 | lm loss: 2.180346E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.447 | TFLOPs: 36.32 | 7: iteration 33020/ 41007 | consumed samples: 8453120 | consumed tokens: 17311989760 | elapsed time per iteration (s): 0.76 | learning rate: 3.665E-05 | global batch size: 256 | lm loss: 2.177507E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.545 | TFLOPs: 46.09 | 7: iteration 33030/ 41007 | consumed samples: 8455680 | consumed tokens: 17317232640 | elapsed time per iteration (s): 0.76 | learning rate: 3.661E-05 | global batch size: 256 | lm loss: 2.170035E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.370 | TFLOPs: 46.48 | 7: iteration 33040/ 41007 | consumed samples: 8458240 | consumed tokens: 17322475520 | elapsed time per iteration (s): 0.79 | learning rate: 3.657E-05 | global batch size: 256 | lm loss: 2.138158E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.340 | TFLOPs: 44.69 | 7: iteration 33050/ 41007 | consumed samples: 8460800 | consumed tokens: 17327718400 | elapsed time per iteration (s): 0.77 | learning rate: 3.653E-05 | global batch size: 256 | lm loss: 2.131824E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.003 | TFLOPs: 45.74 | 7: iteration 33060/ 41007 | consumed samples: 8463360 | consumed tokens: 17332961280 | elapsed time per iteration (s): 0.76 | learning rate: 3.649E-05 | global batch size: 256 | lm loss: 2.151587E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.562 | TFLOPs: 46.23 | 7: iteration 33070/ 41007 | consumed samples: 8465920 | consumed tokens: 17338204160 | elapsed time per iteration (s): 0.76 | learning rate: 3.645E-05 | global batch size: 256 | lm loss: 2.155574E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.933 | TFLOPs: 46.56 | 7: iteration 33080/ 41007 | consumed samples: 8468480 | consumed tokens: 17343447040 | elapsed time per iteration (s): 0.76 | learning rate: 3.641E-05 | global batch size: 256 | lm loss: 2.126232E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.230 | TFLOPs: 46.32 | 7: iteration 33090/ 41007 | consumed samples: 8471040 | consumed tokens: 17348689920 | elapsed time per iteration (s): 0.77 | learning rate: 3.637E-05 | global batch size: 256 | lm loss: 2.164520E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.484 | TFLOPs: 45.53 | 7: iteration 33100/ 41007 | consumed samples: 8473600 | consumed tokens: 17353932800 | elapsed time per iteration (s): 0.78 | learning rate: 3.633E-05 | global batch size: 256 | lm loss: 2.160535E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.727 | TFLOPs: 45.15 | 7: iteration 33110/ 41007 | consumed samples: 8476160 | consumed tokens: 17359175680 | elapsed time per iteration (s): 0.77 | learning rate: 3.629E-05 | global batch size: 256 | lm loss: 2.160753E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.200 | TFLOPs: 45.77 | 7: iteration 33120/ 41007 | consumed samples: 8478720 | consumed tokens: 17364418560 | elapsed time per iteration (s): 0.76 | learning rate: 3.625E-05 | global batch size: 256 | lm loss: 2.124380E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.897 | TFLOPs: 46.14 | 7: iteration 33130/ 41007 | consumed samples: 8481280 | consumed tokens: 17369661440 | elapsed time per iteration (s): 0.79 | learning rate: 3.621E-05 | global batch size: 256 | lm loss: 2.137791E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.236 | TFLOPs: 44.54 | 7: iteration 33140/ 41007 | consumed samples: 8483840 | consumed tokens: 17374904320 | elapsed time per iteration (s): 0.78 | learning rate: 3.617E-05 | global batch size: 256 | lm loss: 2.137709E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.838 | TFLOPs: 45.03 | 7: iteration 33150/ 41007 | consumed samples: 8486400 | consumed tokens: 17380147200 | elapsed time per iteration (s): 0.76 | learning rate: 3.613E-05 | global batch size: 256 | lm loss: 2.149090E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.605 | TFLOPs: 46.51 | 7: iteration 33160/ 41007 | consumed samples: 8488960 | consumed tokens: 17385390080 | elapsed time per iteration (s): 0.77 | learning rate: 3.609E-05 | global batch size: 256 | lm loss: 2.167759E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.868 | TFLOPs: 45.45 | 7: iteration 33170/ 41007 | consumed samples: 8491520 | consumed tokens: 17390632960 | elapsed time per iteration (s): 0.86 | learning rate: 3.605E-05 | global batch size: 256 | lm loss: 2.158524E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.382 | TFLOPs: 40.99 | 7: iteration 33180/ 41007 | consumed samples: 8494080 | consumed tokens: 17395875840 | elapsed time per iteration (s): 0.77 | learning rate: 3.601E-05 | global batch size: 256 | lm loss: 2.161601E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.711 | TFLOPs: 45.56 | 7: iteration 33190/ 41007 | consumed samples: 8496640 | consumed tokens: 17401118720 | elapsed time per iteration (s): 0.77 | learning rate: 3.597E-05 | global batch size: 256 | lm loss: 2.159377E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.526 | TFLOPs: 45.81 | 7: iteration 33200/ 41007 | consumed samples: 8499200 | consumed tokens: 17406361600 | elapsed time per iteration (s): 0.76 | learning rate: 3.593E-05 | global batch size: 256 | lm loss: 2.150890E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.168 | TFLOPs: 46.31 | 7: iteration 33210/ 41007 | consumed samples: 8501760 | consumed tokens: 17411604480 | elapsed time per iteration (s): 0.76 | learning rate: 3.589E-05 | global batch size: 256 | lm loss: 2.164319E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.339 | TFLOPs: 46.06 | 7: iteration 33220/ 41007 | consumed samples: 8504320 | consumed tokens: 17416847360 | elapsed time per iteration (s): 0.76 | learning rate: 3.586E-05 | global batch size: 256 | lm loss: 2.160709E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.479 | TFLOPs: 46.49 | 7: iteration 33230/ 41007 | consumed samples: 8506880 | consumed tokens: 17422090240 | elapsed time per iteration (s): 0.77 | learning rate: 3.582E-05 | global batch size: 256 | lm loss: 2.155942E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.642 | TFLOPs: 45.55 | 7: iteration 33240/ 41007 | consumed samples: 8509440 | consumed tokens: 17427333120 | elapsed time per iteration (s): 0.76 | learning rate: 3.578E-05 | global batch size: 256 | lm loss: 2.180625E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.231 | TFLOPs: 46.46 | 7: iteration 33250/ 41007 | consumed samples: 8512000 | consumed tokens: 17432576000 | elapsed time per iteration (s): 0.75 | learning rate: 3.574E-05 | global batch size: 256 | lm loss: 2.161041E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.200 | TFLOPs: 46.73 | 7: iteration 33260/ 41007 | consumed samples: 8514560 | consumed tokens: 17437818880 | elapsed time per iteration (s): 0.75 | learning rate: 3.570E-05 | global batch size: 256 | lm loss: 2.128503E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.759 | TFLOPs: 46.94 | 7: iteration 33270/ 41007 | consumed samples: 8517120 | consumed tokens: 17443061760 | elapsed time per iteration (s): 0.77 | learning rate: 3.566E-05 | global batch size: 256 | lm loss: 2.192763E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.896 | TFLOPs: 45.59 | 7: iteration 33280/ 41007 | consumed samples: 8519680 | consumed tokens: 17448304640 | elapsed time per iteration (s): 0.79 | learning rate: 3.562E-05 | global batch size: 256 | lm loss: 2.200443E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.336 | TFLOPs: 44.41 | 7: iteration 33290/ 41007 | consumed samples: 8522240 | consumed tokens: 17453547520 | elapsed time per iteration (s): 0.76 | learning rate: 3.558E-05 | global batch size: 256 | lm loss: 2.179575E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.669 | TFLOPs: 46.38 | 7: iteration 33300/ 41007 | consumed samples: 8524800 | consumed tokens: 17458790400 | elapsed time per iteration (s): 0.77 | learning rate: 3.554E-05 | global batch size: 256 | lm loss: 2.134587E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.637 | TFLOPs: 45.83 | 7: iteration 33310/ 41007 | consumed samples: 8527360 | consumed tokens: 17464033280 | elapsed time per iteration (s): 0.76 | learning rate: 3.550E-05 | global batch size: 256 | lm loss: 2.199237E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.798 | TFLOPs: 46.26 | 7: iteration 33320/ 41007 | consumed samples: 8529920 | consumed tokens: 17469276160 | elapsed time per iteration (s): 0.76 | learning rate: 3.546E-05 | global batch size: 256 | lm loss: 2.189908E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.648 | TFLOPs: 46.52 | 7: iteration 33330/ 41007 | consumed samples: 8532480 | consumed tokens: 17474519040 | elapsed time per iteration (s): 0.75 | learning rate: 3.542E-05 | global batch size: 256 | lm loss: 2.164340E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.458 | TFLOPs: 46.63 | 7: iteration 33340/ 41007 | consumed samples: 8535040 | consumed tokens: 17479761920 | elapsed time per iteration (s): 0.77 | learning rate: 3.538E-05 | global batch size: 256 | lm loss: 2.169170E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.393 | TFLOPs: 45.66 | 7: iteration 33350/ 41007 | consumed samples: 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iteration 33380/ 41007 | consumed samples: 8545280 | consumed tokens: 17500733440 | elapsed time per iteration (s): 0.76 | learning rate: 3.523E-05 | global batch size: 256 | lm loss: 2.185627E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.683 | TFLOPs: 46.25 | 7: iteration 33390/ 41007 | consumed samples: 8547840 | consumed tokens: 17505976320 | elapsed time per iteration (s): 0.76 | learning rate: 3.519E-05 | global batch size: 256 | lm loss: 2.171662E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.003 | TFLOPs: 46.02 | 7: iteration 33400/ 41007 | consumed samples: 8550400 | consumed tokens: 17511219200 | elapsed time per iteration (s): 0.79 | learning rate: 3.515E-05 | global batch size: 256 | lm loss: 2.164469E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.348 | TFLOPs: 44.69 | 7: iteration 33410/ 41007 | consumed samples: 8552960 | consumed tokens: 17516462080 | elapsed time per iteration (s): 0.77 | learning rate: 3.511E-05 | global batch size: 256 | lm loss: 2.175288E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.445 | TFLOPs: 45.53 | 7: iteration 33420/ 41007 | consumed samples: 8555520 | consumed tokens: 17521704960 | elapsed time per iteration (s): 0.76 | learning rate: 3.507E-05 | global batch size: 256 | lm loss: 2.126272E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.906 | TFLOPs: 46.28 | 7: iteration 33430/ 41007 | consumed samples: 8558080 | consumed tokens: 17526947840 | elapsed time per iteration (s): 0.76 | learning rate: 3.504E-05 | global batch size: 256 | lm loss: 2.157294E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.187 | TFLOPs: 46.18 | 7: iteration 33440/ 41007 | consumed samples: 8560640 | consumed tokens: 17532190720 | elapsed time per iteration (s): 0.76 | learning rate: 3.500E-05 | global batch size: 256 | lm loss: 2.136273E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.502 | TFLOPs: 46.08 | 7: iteration 33450/ 41007 | consumed samples: 8563200 | consumed tokens: 17537433600 | elapsed time per iteration (s): 0.77 | learning rate: 3.496E-05 | global batch size: 256 | lm loss: 2.193170E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.245 | TFLOPs: 45.77 | 7: iteration 33460/ 41007 | consumed samples: 8565760 | consumed tokens: 17542676480 | elapsed time per iteration (s): 0.76 | learning rate: 3.492E-05 | global batch size: 256 | lm loss: 2.182057E+00 | grad norm: 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size: 256 | lm loss: 2.171264E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.571 | TFLOPs: 45.54 | 7: iteration 33500/ 41007 | consumed samples: 8576000 | consumed tokens: 17563648000 | elapsed time per iteration (s): 0.76 | learning rate: 3.477E-05 | global batch size: 256 | lm loss: 2.156958E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.989 | TFLOPs: 46.29 | 7: iteration 33510/ 41007 | consumed samples: 8578560 | consumed tokens: 17568890880 | elapsed time per iteration (s): 0.76 | learning rate: 3.473E-05 | global batch size: 256 | lm loss: 2.160592E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.812 | TFLOPs: 45.99 | 7: iteration 33520/ 41007 | consumed samples: 8581120 | consumed tokens: 17574133760 | elapsed time per iteration (s): 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0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.678 | TFLOPs: 46.25 | 7: iteration 33900/ 41007 | consumed samples: 8678400 | consumed tokens: 17773363200 | elapsed time per iteration (s): 0.76 | learning rate: 3.327E-05 | global batch size: 256 | lm loss: 2.152503E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.765 | TFLOPs: 45.98 | 7: iteration 33910/ 41007 | consumed samples: 8680960 | consumed tokens: 17778606080 | elapsed time per iteration (s): 0.79 | learning rate: 3.324E-05 | global batch size: 256 | lm loss: 2.172347E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.312 | TFLOPs: 44.68 | 7: iteration 33920/ 41007 | consumed samples: 8683520 | consumed tokens: 17783848960 | elapsed time per iteration (s): 0.78 | learning rate: 3.320E-05 | global batch size: 256 | lm loss: 2.160689E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.220 | TFLOPs: 45.08 | 7: iteration 33930/ 41007 | consumed samples: 8686080 | consumed tokens: 17789091840 | elapsed time per iteration (s): 0.77 | learning rate: 3.317E-05 | global batch size: 256 | lm loss: 2.135363E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.158 | TFLOPs: 45.76 | 7: iteration 33940/ 41007 | consumed samples: 8688640 | consumed tokens: 17794334720 | elapsed time per iteration (s): 0.77 | learning rate: 3.313E-05 | global batch size: 256 | lm loss: 2.154574E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.072 | TFLOPs: 45.48 | 7: iteration 33950/ 41007 | consumed samples: 8691200 | consumed tokens: 17799577600 | elapsed time per iteration (s): 0.75 | learning rate: 3.309E-05 | global batch size: 256 | lm loss: 2.157544E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.919 | TFLOPs: 46.83 | 7: iteration 33960/ 41007 | consumed samples: 8693760 | consumed tokens: 17804820480 | elapsed time per iteration (s): 0.76 | learning rate: 3.306E-05 | global batch size: 256 | lm loss: 2.161868E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.316 | TFLOPs: 46.06 | 7: iteration 33970/ 41007 | consumed samples: 8696320 | consumed tokens: 17810063360 | elapsed time per iteration (s): 0.75 | learning rate: 3.302E-05 | global batch size: 256 | lm loss: 2.135140E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.950 | TFLOPs: 46.97 | 7: iteration 33980/ 41007 | consumed samples: 8698880 | consumed tokens: 17815306240 | elapsed time per iteration (s): 0.76 | learning rate: 3.298E-05 | global batch size: 256 | lm loss: 2.155304E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.246 | TFLOPs: 46.46 | 7: iteration 33990/ 41007 | consumed samples: 8701440 | consumed tokens: 17820549120 | elapsed time per iteration (s): 0.75 | learning rate: 3.295E-05 | global batch size: 256 | lm loss: 2.164915E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.463 | TFLOPs: 46.77 | 0: [2022-11-28 20:15:10,289] [INFO] [logging.py:68:log_dist] [Rank 0] step=34000, skipped=0, lr=[3.29128696544717e-05, 3.29128696544717e-05, 3.29128696544717e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 34000/ 41007 | consumed samples: 8704000 | consumed tokens: 17825792000 | elapsed time per iteration (s): 0.75 | learning rate: 3.291E-05 | global batch size: 256 | lm loss: 2.176249E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.383 | TFLOPs: 46.62 | 0: steps: 34000 loss: 2.2208 iter time (s): 0.762 samples/sec: 336.055 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 34000 | lm loss value: 2.094229E+00 | lm loss PPL: 8.119179E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 34000 to checkpoints_619m22b 0: [2022-11-28 20:15:10,560] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step34000 is begin to save! 0: [2022-11-28 20:15:10,565] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step34000/layer_01-model_00-model_states.pt... 0: [2022-11-28 20:15:10,740] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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| lm loss: 2.181655E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 267.619 | TFLOPs: 36.76 | 7: iteration 34020/ 41007 | consumed samples: 8709120 | consumed tokens: 17836277760 | elapsed time per iteration (s): 0.76 | learning rate: 3.284E-05 | global batch size: 256 | lm loss: 2.167991E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.661 | TFLOPs: 46.38 | 7: iteration 34030/ 41007 | consumed samples: 8711680 | consumed tokens: 17841520640 | elapsed time per iteration (s): 0.75 | learning rate: 3.281E-05 | global batch size: 256 | lm loss: 2.158546E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.408 | TFLOPs: 46.62 | 7: iteration 34040/ 41007 | consumed samples: 8714240 | consumed tokens: 17846763520 | elapsed time per iteration (s): 0.77 | learning rate: 3.277E-05 | global batch size: 256 | lm loss: 2.169649E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.602 | TFLOPs: 45.82 | 7: iteration 34050/ 41007 | consumed samples: 8716800 | consumed tokens: 17852006400 | elapsed time per iteration (s): 0.76 | learning rate: 3.273E-05 | global batch size: 256 | lm loss: 2.157830E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.254 | TFLOPs: 46.19 | 7: iteration 34060/ 41007 | consumed samples: 8719360 | consumed tokens: 17857249280 | elapsed time per iteration (s): 0.76 | learning rate: 3.270E-05 | global batch size: 256 | lm loss: 2.130075E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.024 | TFLOPs: 46.43 | 7: iteration 34070/ 41007 | consumed samples: 8721920 | consumed tokens: 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TFLOPs: 46.58 | 7: iteration 34130/ 41007 | consumed samples: 8737280 | consumed tokens: 17893949440 | elapsed time per iteration (s): 0.76 | learning rate: 3.245E-05 | global batch size: 256 | lm loss: 2.182490E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.714 | TFLOPs: 46.53 | 7: iteration 34140/ 41007 | consumed samples: 8739840 | consumed tokens: 17899192320 | elapsed time per iteration (s): 0.76 | learning rate: 3.241E-05 | global batch size: 256 | lm loss: 2.129465E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.891 | TFLOPs: 46.14 | 7: iteration 34150/ 41007 | consumed samples: 8742400 | consumed tokens: 17904435200 | elapsed time per iteration (s): 0.75 | learning rate: 3.238E-05 | global batch size: 256 | lm loss: 2.153959E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.834 | TFLOPs: 46.82 | 7: iteration 34160/ 41007 | consumed samples: 8744960 | consumed tokens: 17909678080 | elapsed time per iteration (s): 0.76 | learning rate: 3.234E-05 | global batch size: 256 | lm loss: 2.148683E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.412 | TFLOPs: 46.48 | 7: iteration 34170/ 41007 | consumed samples: 8747520 | consumed tokens: 17914920960 | elapsed time per iteration (s): 0.91 | learning rate: 3.231E-05 | global batch size: 256 | lm loss: 2.158739E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.249 | TFLOPs: 38.49 | 7: iteration 34180/ 41007 | consumed samples: 8750080 | consumed tokens: 17920163840 | elapsed time per iteration (s): 0.76 | learning rate: 3.227E-05 | global batch size: 256 | lm loss: 2.190420E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.892 | TFLOPs: 46.27 | 7: iteration 34190/ 41007 | consumed samples: 8752640 | consumed tokens: 17925406720 | elapsed time per iteration (s): 0.76 | learning rate: 3.224E-05 | global batch size: 256 | lm loss: 2.170204E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.332 | TFLOPs: 46.20 | 7: iteration 34200/ 41007 | consumed samples: 8755200 | consumed tokens: 17930649600 | elapsed time per iteration (s): 0.76 | learning rate: 3.220E-05 | global batch size: 256 | lm loss: 2.132672E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.583 | TFLOPs: 46.10 | 7: iteration 34210/ 41007 | consumed samples: 8757760 | consumed tokens: 17935892480 | elapsed time per iteration (s): 0.79 | learning rate: 3.217E-05 | global batch size: 256 | lm loss: 2.150367E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.522 | TFLOPs: 44.30 | 7: iteration 34220/ 41007 | consumed samples: 8760320 | consumed tokens: 17941135360 | elapsed time per iteration (s): 0.78 | learning rate: 3.213E-05 | global batch size: 256 | lm loss: 2.161608E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.649 | TFLOPs: 45.28 | 7: iteration 34230/ 41007 | consumed samples: 8762880 | consumed tokens: 17946378240 | elapsed time per iteration (s): 0.77 | learning rate: 3.210E-05 | global batch size: 256 | lm loss: 2.133328E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.024 | TFLOPs: 45.61 | 7: iteration 34240/ 41007 | consumed samples: 8765440 | consumed tokens: 17951621120 | elapsed time per iteration (s): 0.77 | learning rate: 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iteration 34330/ 41007 | consumed samples: 8788480 | consumed tokens: 17998807040 | elapsed time per iteration (s): 0.75 | learning rate: 3.175E-05 | global batch size: 256 | lm loss: 2.180541E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.862 | TFLOPs: 46.82 | 7: iteration 34340/ 41007 | consumed samples: 8791040 | consumed tokens: 18004049920 | elapsed time per iteration (s): 0.76 | learning rate: 3.172E-05 | global batch size: 256 | lm loss: 2.135814E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.576 | TFLOPs: 46.23 | 7: iteration 34350/ 41007 | consumed samples: 8793600 | consumed tokens: 18009292800 | elapsed time per iteration (s): 0.76 | learning rate: 3.168E-05 | global batch size: 256 | lm loss: 2.137761E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.844 | TFLOPs: 46.41 | 7: iteration 34360/ 41007 | consumed samples: 8796160 | consumed tokens: 18014535680 | elapsed time per iteration (s): 0.76 | learning rate: 3.165E-05 | global batch size: 256 | lm loss: 2.130765E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.218 | TFLOPs: 46.18 | 7: iteration 34370/ 41007 | consumed samples: 8798720 | consumed tokens: 18019778560 | elapsed time per iteration (s): 0.76 | learning rate: 3.161E-05 | global batch size: 256 | lm loss: 2.175145E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.563 | TFLOPs: 46.50 | 7: iteration 34380/ 41007 | consumed samples: 8801280 | consumed tokens: 18025021440 | elapsed time per iteration (s): 0.75 | learning rate: 3.158E-05 | global batch size: 256 | lm loss: 2.184269E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.237 | TFLOPs: 46.60 | 7: iteration 34390/ 41007 | consumed samples: 8803840 | consumed tokens: 18030264320 | elapsed time per iteration (s): 0.77 | learning rate: 3.155E-05 | global batch size: 256 | lm loss: 2.134757E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.125 | TFLOPs: 45.89 | 7: iteration 34400/ 41007 | consumed samples: 8806400 | consumed tokens: 18035507200 | elapsed time per iteration (s): 0.76 | learning rate: 3.151E-05 | global batch size: 256 | lm loss: 2.182841E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.388 | TFLOPs: 46.07 | 7: iteration 34410/ 41007 | consumed samples: 8808960 | consumed tokens: 18040750080 | elapsed time per iteration (s): 0.78 | learning rate: 3.148E-05 | global batch size: 256 | lm loss: 2.176562E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.644 | TFLOPs: 45.28 | 7: iteration 34420/ 41007 | consumed samples: 8811520 | consumed tokens: 18045992960 | elapsed time per iteration (s): 0.76 | learning rate: 3.144E-05 | global batch size: 256 | lm loss: 2.165018E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.096 | TFLOPs: 46.17 | 7: iteration 34430/ 41007 | consumed samples: 8814080 | consumed tokens: 18051235840 | elapsed time per iteration (s): 0.77 | learning rate: 3.141E-05 | global batch size: 256 | lm loss: 2.178026E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.096 | TFLOPs: 45.75 | 7: iteration 34440/ 41007 | consumed samples: 8816640 | consumed tokens: 18056478720 | elapsed time per iteration (s): 0.77 | learning rate: 3.138E-05 | global batch size: 256 | lm loss: 2.165762E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.438 | TFLOPs: 45.94 | 7: iteration 34450/ 41007 | consumed samples: 8819200 | consumed tokens: 18061721600 | elapsed time per iteration (s): 0.77 | learning rate: 3.134E-05 | global batch size: 256 | lm loss: 2.169334E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.276 | TFLOPs: 45.64 | 7: iteration 34460/ 41007 | consumed samples: 8821760 | consumed tokens: 18066964480 | elapsed time per iteration (s): 0.79 | learning rate: 3.131E-05 | global batch size: 256 | lm loss: 2.133346E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.113 | TFLOPs: 44.38 | 7: iteration 34470/ 41007 | consumed samples: 8824320 | consumed tokens: 18072207360 | elapsed time per iteration (s): 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TFLOPs: 46.34 | 7: iteration 34560/ 41007 | consumed samples: 8847360 | consumed tokens: 18119393280 | elapsed time per iteration (s): 0.79 | learning rate: 3.097E-05 | global batch size: 256 | lm loss: 2.132522E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.714 | TFLOPs: 44.33 | 7: iteration 34570/ 41007 | consumed samples: 8849920 | consumed tokens: 18124636160 | elapsed time per iteration (s): 0.77 | learning rate: 3.094E-05 | global batch size: 256 | lm loss: 2.156631E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.693 | TFLOPs: 45.70 | 7: iteration 34580/ 41007 | consumed samples: 8852480 | consumed tokens: 18129879040 | elapsed time per iteration (s): 0.77 | learning rate: 3.091E-05 | global batch size: 256 | lm loss: 2.176149E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.264 | TFLOPs: 45.78 | 7: iteration 34590/ 41007 | consumed samples: 8855040 | consumed tokens: 18135121920 | elapsed time per iteration (s): 0.76 | learning rate: 3.087E-05 | global batch size: 256 | lm loss: 2.126261E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.449 | TFLOPs: 46.08 | 7: iteration 34600/ 41007 | consumed samples: 8857600 | consumed tokens: 18140364800 | elapsed time per iteration (s): 0.77 | learning rate: 3.084E-05 | global batch size: 256 | lm loss: 2.149110E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.613 | TFLOPs: 45.55 | 7: iteration 34610/ 41007 | consumed samples: 8860160 | consumed tokens: 18145607680 | elapsed time per iteration (s): 0.75 | learning rate: 3.081E-05 | global batch size: 256 | lm loss: 2.105266E+00 | grad norm: 0.181 | num zeros: 0.0 | 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3.061E-05 | global batch size: 256 | lm loss: 2.163524E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.253 | TFLOPs: 46.05 | 7: iteration 34680/ 41007 | consumed samples: 8878080 | consumed tokens: 18182307840 | elapsed time per iteration (s): 0.77 | learning rate: 3.058E-05 | global batch size: 256 | lm loss: 2.157616E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.236 | TFLOPs: 45.64 | 7: iteration 34690/ 41007 | consumed samples: 8880640 | consumed tokens: 18187550720 | elapsed time per iteration (s): 0.77 | learning rate: 3.054E-05 | global batch size: 256 | lm loss: 2.160155E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.915 | TFLOPs: 45.59 | 7: iteration 34700/ 41007 | consumed samples: 8883200 | consumed tokens: 18192793600 | elapsed 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0.78 | learning rate: 2.987E-05 | global batch size: 256 | lm loss: 2.171337E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.836 | TFLOPs: 45.31 | 7: iteration 34910/ 41007 | consumed samples: 8936960 | consumed tokens: 18302894080 | elapsed time per iteration (s): 0.76 | learning rate: 2.984E-05 | global batch size: 256 | lm loss: 2.168103E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.424 | TFLOPs: 46.21 | 7: iteration 34920/ 41007 | consumed samples: 8939520 | consumed tokens: 18308136960 | elapsed time per iteration (s): 0.76 | learning rate: 2.980E-05 | global batch size: 256 | lm loss: 2.140710E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.841 | TFLOPs: 46.41 | 7: iteration 34930/ 41007 | consumed samples: 8942080 | consumed tokens: 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consumed samples: 8949760 | consumed tokens: 18329108480 | elapsed time per iteration (s): 0.76 | learning rate: 2.968E-05 | global batch size: 256 | lm loss: 2.148965E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.847 | TFLOPs: 45.99 | 7: iteration 34970/ 41007 | consumed samples: 8952320 | consumed tokens: 18334351360 | elapsed time per iteration (s): 0.76 | learning rate: 2.965E-05 | global batch size: 256 | lm loss: 2.175695E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.541 | TFLOPs: 46.09 | 7: iteration 34980/ 41007 | consumed samples: 8954880 | consumed tokens: 18339594240 | elapsed time per iteration (s): 0.77 | learning rate: 2.962E-05 | global batch size: 256 | lm loss: 2.170191E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.722 | TFLOPs: 45.43 | 7: iteration 34990/ 41007 | consumed samples: 8957440 | consumed tokens: 18344837120 | elapsed time per iteration (s): 0.76 | learning rate: 2.958E-05 | global batch size: 256 | lm loss: 2.190210E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.094 | TFLOPs: 46.17 | 7: iteration 35000/ 41007 | consumed samples: 8960000 | consumed tokens: 18350080000 | elapsed time per iteration (s): 0.77 | learning rate: 2.955E-05 | global batch size: 256 | lm loss: 2.182365E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.835 | TFLOPs: 45.85 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 35000 | lm loss value: 2.169882E+00 | lm loss PPL: 8.757253E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 35000 to checkpoints_619m22b 0: [2022-11-28 20:28:01,150] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step35000 is begin to save! 0: [2022-11-28 20:28:01,156] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step35000/layer_01-model_00-model_states.pt... 0: [2022-11-28 20:28:01,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step35000/layer_01-model_00-model_states.pt. 0: [2022-11-28 20:28:01,327] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step35000/layer_03-model_00-model_states.pt... 0: [2022-11-28 20:28:01,380] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step35000/layer_03-model_00-model_states.pt. 0: [2022-11-28 20:28:01,381] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step35000/layer_04-model_00-model_states.pt... 0: 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bf16_zero checkpoint saved checkpoints_619m22b/global_step35000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-28 20:28:02,585] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step35000 is ready now! 1: [2022-11-28 20:28:02,586] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step35000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-28 20:28:02,586] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step35000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-28 20:28:02,586] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step35000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-28 20:28:02,586] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step35000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-28 20:28:02,586] [INFO] 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now! 0: successfully saved checkpoint at iteration 35000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1573.86 7: iteration 35010/ 41007 | consumed samples: 8962560 | consumed tokens: 18355322880 | elapsed time per iteration (s): 0.95 | learning rate: 2.952E-05 | global batch size: 256 | lm loss: 2.168418E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.757 | TFLOPs: 37.19 | 7: iteration 35020/ 41007 | consumed samples: 8965120 | consumed tokens: 18360565760 | elapsed time per iteration (s): 0.76 | learning rate: 2.949E-05 | global batch size: 256 | lm loss: 2.177377E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.632 | TFLOPs: 46.51 | 7: iteration 35030/ 41007 | consumed samples: 8967680 | consumed tokens: 18365808640 | elapsed time per iteration (s): 0.75 | learning rate: 2.946E-05 | global batch size: 256 | lm loss: 2.169107E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.421 | TFLOPs: 46.62 | 7: iteration 35040/ 41007 | consumed samples: 8970240 | consumed tokens: 18371051520 | elapsed time per iteration (s): 0.78 | learning rate: 2.943E-05 | global batch size: 256 | lm loss: 2.153128E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.863 | TFLOPs: 45.31 | 7: iteration 35050/ 41007 | consumed samples: 8972800 | consumed tokens: 18376294400 | elapsed time per iteration (s): 0.79 | learning rate: 2.940E-05 | global batch size: 256 | lm loss: 2.178565E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.683 | TFLOPs: 44.74 | 7: iteration 35060/ 41007 | consumed samples: 8975360 | consumed tokens: 18381537280 | elapsed time per iteration (s): 0.76 | learning rate: 2.937E-05 | global batch size: 256 | lm loss: 2.148707E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.012 | TFLOPs: 46.29 | 7: iteration 35070/ 41007 | consumed samples: 8977920 | consumed tokens: 18386780160 | elapsed time per iteration (s): 0.89 | learning rate: 2.934E-05 | global batch size: 256 | lm loss: 2.168282E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.481 | TFLOPs: 39.35 | 7: iteration 35080/ 41007 | consumed samples: 8980480 | consumed tokens: 18392023040 | elapsed time per iteration (s): 1.01 | learning rate: 2.930E-05 | global batch size: 256 | lm loss: 2.128164E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.223 | TFLOPs: 34.64 | 7: iteration 35090/ 41007 | consumed samples: 8983040 | consumed tokens: 18397265920 | elapsed time per iteration (s): 0.75 | learning rate: 2.927E-05 | global batch size: 256 | lm loss: 2.148054E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.532 | TFLOPs: 46.77 | 7: iteration 35100/ 41007 | consumed samples: 8985600 | consumed tokens: 18402508800 | elapsed time per iteration (s): 0.88 | learning rate: 2.924E-05 | global batch size: 256 | lm loss: 2.128395E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.601 | TFLOPs: 40.05 | 7: iteration 35110/ 41007 | consumed samples: 8988160 | consumed tokens: 18407751680 | elapsed time per iteration (s): 0.89 | learning rate: 2.921E-05 | global batch size: 256 | lm loss: 2.136666E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.488 | TFLOPs: 39.35 | 7: iteration 35120/ 41007 | consumed samples: 8990720 | consumed tokens: 18412994560 | elapsed time per iteration (s): 0.77 | learning rate: 2.918E-05 | global batch size: 256 | lm loss: 2.148632E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.415 | TFLOPs: 45.39 | 7: iteration 35130/ 41007 | consumed samples: 8993280 | consumed tokens: 18418237440 | elapsed time per iteration (s): 0.76 | learning rate: 2.915E-05 | global batch size: 256 | lm loss: 2.162465E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.194 | TFLOPs: 46.18 | 7: iteration 35140/ 41007 | consumed samples: 8995840 | consumed tokens: 18423480320 | elapsed time per iteration (s): 0.75 | learning rate: 2.912E-05 | global batch size: 256 | lm loss: 2.161193E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.790 | TFLOPs: 46.95 | 7: iteration 35150/ 41007 | consumed samples: 8998400 | consumed tokens: 18428723200 | elapsed time per iteration (s): 0.77 | learning rate: 2.909E-05 | global batch size: 256 | lm loss: 2.159080E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.008 | TFLOPs: 45.60 | 7: iteration 35160/ 41007 | consumed samples: 9000960 | consumed tokens: 18433966080 | elapsed time per iteration (s): 0.77 | learning rate: 2.906E-05 | global batch size: 256 | lm loss: 2.145625E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.219 | TFLOPs: 45.91 | 7: iteration 35170/ 41007 | consumed samples: 9003520 | consumed tokens: 18439208960 | elapsed time per iteration (s): 0.78 | learning rate: 2.903E-05 | global batch size: 256 | lm loss: 2.134117E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.099 | TFLOPs: 45.34 | 7: iteration 35180/ 41007 | consumed samples: 9006080 | consumed tokens: 18444451840 | elapsed time per iteration (s): 0.76 | learning rate: 2.900E-05 | global batch size: 256 | lm loss: 2.148236E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.046 | TFLOPs: 46.02 | 7: iteration 35190/ 41007 | consumed samples: 9008640 | consumed tokens: 18449694720 | elapsed time per iteration (s): 0.75 | learning rate: 2.897E-05 | global batch size: 256 | lm loss: 2.165625E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.161 | TFLOPs: 46.72 | 7: iteration 35200/ 41007 | consumed samples: 9011200 | consumed tokens: 18454937600 | elapsed time per iteration (s): 0.76 | learning rate: 2.894E-05 | global batch size: 256 | lm loss: 2.168204E+00 | grad norm: 0.179 | num zeros: 0.0 | 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2.876E-05 | global batch size: 256 | lm loss: 2.134952E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.144 | TFLOPs: 46.03 | 7: iteration 35270/ 41007 | consumed samples: 9029120 | consumed tokens: 18491637760 | elapsed time per iteration (s): 0.77 | learning rate: 2.873E-05 | global batch size: 256 | lm loss: 2.143915E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.899 | TFLOPs: 45.73 | 7: iteration 35280/ 41007 | consumed samples: 9031680 | consumed tokens: 18496880640 | elapsed time per iteration (s): 0.76 | learning rate: 2.870E-05 | global batch size: 256 | lm loss: 2.170465E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.399 | TFLOPs: 46.07 | 7: iteration 35290/ 41007 | consumed samples: 9034240 | consumed tokens: 18502123520 | elapsed time per iteration (s): 0.75 | learning rate: 2.867E-05 | global batch size: 256 | lm loss: 2.129683E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.646 | TFLOPs: 46.93 | 7: iteration 35300/ 41007 | consumed samples: 9036800 | consumed tokens: 18507366400 | elapsed time per iteration (s): 0.78 | learning rate: 2.864E-05 | global batch size: 256 | lm loss: 2.165654E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.387 | TFLOPs: 44.83 | 7: iteration 35310/ 41007 | consumed samples: 9039360 | consumed tokens: 18512609280 | elapsed time per iteration (s): 0.75 | learning rate: 2.861E-05 | global batch size: 256 | lm loss: 2.142396E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.694 | TFLOPs: 46.80 | 7: iteration 35320/ 41007 | consumed samples: 9041920 | consumed tokens: 18517852160 | elapsed time per iteration (s): 0.76 | learning rate: 2.858E-05 | global batch size: 256 | lm loss: 2.176568E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.773 | TFLOPs: 46.53 | 7: iteration 35330/ 41007 | consumed samples: 9044480 | consumed tokens: 18523095040 | elapsed time per iteration (s): 0.76 | learning rate: 2.855E-05 | global batch size: 256 | lm loss: 2.127334E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.137 | TFLOPs: 46.45 | 7: iteration 35340/ 41007 | consumed samples: 9047040 | consumed tokens: 18528337920 | elapsed time per iteration (s): 0.76 | learning rate: 2.852E-05 | global batch size: 256 | lm loss: 2.169404E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.185 | TFLOPs: 46.32 | 7: iteration 35350/ 41007 | consumed samples: 9049600 | consumed tokens: 18533580800 | elapsed time per iteration (s): 0.77 | learning rate: 2.849E-05 | global batch size: 256 | lm loss: 2.150242E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.059 | TFLOPs: 45.75 | 7: iteration 35360/ 41007 | consumed samples: 9052160 | consumed tokens: 18538823680 | elapsed time per iteration (s): 0.76 | learning rate: 2.846E-05 | global batch size: 256 | lm loss: 2.138773E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.127 | TFLOPs: 46.44 | 7: iteration 35370/ 41007 | consumed samples: 9054720 | consumed tokens: 18544066560 | elapsed time per iteration (s): 0.80 | learning rate: 2.843E-05 | global batch size: 256 | lm loss: 2.139659E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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size: 256 | lm loss: 2.146387E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.821 | TFLOPs: 45.85 | 7: iteration 35900/ 41007 | consumed samples: 9190400 | consumed tokens: 18821939200 | elapsed time per iteration (s): 0.76 | learning rate: 2.694E-05 | global batch size: 256 | lm loss: 2.153810E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.647 | TFLOPs: 46.52 | 7: iteration 35910/ 41007 | consumed samples: 9192960 | consumed tokens: 18827182080 | elapsed time per iteration (s): 0.76 | learning rate: 2.691E-05 | global batch size: 256 | lm loss: 2.142497E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.274 | TFLOPs: 46.05 | 7: iteration 35920/ 41007 | consumed samples: 9195520 | consumed tokens: 18832424960 | elapsed time per iteration (s): 0.77 | learning rate: 2.689E-05 | global batch size: 256 | lm loss: 2.165854E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.590 | TFLOPs: 45.96 | 7: iteration 35930/ 41007 | consumed samples: 9198080 | consumed tokens: 18837667840 | elapsed time per iteration (s): 0.77 | learning rate: 2.686E-05 | global batch size: 256 | lm loss: 2.131845E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.367 | TFLOPs: 45.79 | 7: iteration 35940/ 41007 | consumed samples: 9200640 | consumed tokens: 18842910720 | elapsed time per iteration (s): 0.76 | learning rate: 2.683E-05 | global batch size: 256 | lm loss: 2.139915E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.329 | TFLOPs: 46.47 | 7: iteration 35950/ 41007 | consumed samples: 9203200 | consumed tokens: 18848153600 | elapsed time per iteration (s): 0.77 | learning rate: 2.681E-05 | global batch size: 256 | lm loss: 2.165072E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.633 | TFLOPs: 45.96 | 7: iteration 35960/ 41007 | consumed samples: 9205760 | consumed tokens: 18853396480 | elapsed time per iteration (s): 0.76 | learning rate: 2.678E-05 | global batch size: 256 | lm loss: 2.173432E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.368 | TFLOPs: 46.34 | 7: iteration 35970/ 41007 | consumed samples: 9208320 | consumed tokens: 18858639360 | elapsed time per iteration (s): 0.75 | learning rate: 2.675E-05 | global batch size: 256 | lm loss: 2.157829E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.608 | TFLOPs: 46.65 | 7: iteration 35980/ 41007 | consumed samples: 9210880 | consumed tokens: 18863882240 | elapsed time per iteration (s): 0.78 | learning rate: 2.673E-05 | global batch size: 256 | lm loss: 2.133528E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.447 | TFLOPs: 44.98 | 7: iteration 35990/ 41007 | consumed samples: 9213440 | consumed tokens: 18869125120 | elapsed time per iteration (s): 0.75 | learning rate: 2.670E-05 | global batch size: 256 | lm loss: 2.134774E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.229 | TFLOPs: 46.73 | 0: [2022-11-28 20:40:52,817] [INFO] [logging.py:68:log_dist] [Rank 0] step=36000, skipped=0, lr=[2.6674067325839503e-05, 2.6674067325839503e-05, 2.6674067325839503e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 36000/ 41007 | consumed samples: 9216000 | consumed tokens: 18874368000 | elapsed time per iteration (s): 0.76 | learning rate: 2.667E-05 | global batch size: 256 | lm loss: 2.166242E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.384 | TFLOPs: 46.07 | 0: steps: 36000 loss: 2.2014 iter time (s): 0.768 samples/sec: 333.518 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 36000 | lm loss value: 2.106086E+00 | lm loss PPL: 8.216025E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 36000 to checkpoints_619m22b 0: [2022-11-28 20:40:53,093] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step36000 is begin to save! 0: [2022-11-28 20:40:53,098] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step36000/layer_01-model_00-model_states.pt... 0: [2022-11-28 20:40:53,319] [INFO] 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checkpoints_619m22b/global_step36000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-28 20:40:54,706] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step36000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-28 20:40:54,706] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step36000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-28 20:40:54,706] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step36000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-28 20:40:54,706] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step36000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2022-11-28 20:40:54,706] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step36000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-28 20:40:54,706] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now! 0: [2022-11-28 20:40:54,706] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now! 0: [2022-11-28 20:40:54,706] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now! 0: [2022-11-28 20:40:54,785] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step36000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 20:40:54,785] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step36000 is ready now! 0: successfully saved checkpoint at iteration 36000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1716.15 7: iteration 36010/ 41007 | consumed samples: 9218560 | consumed tokens: 18879610880 | elapsed time per iteration (s): 0.96 | learning rate: 2.665E-05 | global batch size: 256 | lm loss: 2.138142E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 265.608 | TFLOPs: 36.48 | 7: iteration 36020/ 41007 | consumed samples: 9221120 | consumed tokens: 18884853760 | elapsed time per iteration (s): 0.76 | learning rate: 2.662E-05 | global batch size: 256 | lm loss: 2.146910E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.242 | TFLOPs: 46.32 | 7: iteration 36030/ 41007 | consumed samples: 9223680 | consumed tokens: 18890096640 | elapsed time per iteration (s): 0.76 | learning rate: 2.660E-05 | global batch size: 256 | lm loss: 2.131407E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.367 | TFLOPs: 46.20 | 7: iteration 36040/ 41007 | consumed samples: 9226240 | consumed tokens: 18895339520 | elapsed time per iteration (s): 0.76 | learning rate: 2.657E-05 | global batch size: 256 | lm loss: 2.143526E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.703 | TFLOPs: 46.39 | 7: iteration 36050/ 41007 | consumed samples: 9228800 | consumed tokens: 18900582400 | elapsed time per iteration (s): 0.75 | learning rate: 2.654E-05 | global batch size: 256 | lm loss: 2.163445E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.591 | TFLOPs: 46.78 | 7: iteration 36060/ 41007 | consumed samples: 9231360 | consumed tokens: 18905825280 | elapsed time per iteration (s): 0.78 | learning rate: 2.652E-05 | global batch size: 256 | lm loss: 2.169959E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.900 | TFLOPs: 44.90 | 7: iteration 36070/ 41007 | consumed samples: 9233920 | consumed tokens: 18911068160 | elapsed time per iteration (s): 0.77 | learning rate: 2.649E-05 | global batch size: 256 | lm loss: 2.156180E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.969 | TFLOPs: 45.74 | 7: iteration 36080/ 41007 | consumed samples: 9236480 | consumed tokens: 18916311040 | elapsed time per iteration (s): 0.76 | learning rate: 2.647E-05 | global batch size: 256 | lm loss: 2.140296E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.530 | TFLOPs: 46.23 | 7: iteration 36090/ 41007 | consumed samples: 9239040 | consumed tokens: 18921553920 | elapsed time per iteration (s): 0.76 | learning rate: 2.644E-05 | global batch size: 256 | lm loss: 2.136106E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.061 | TFLOPs: 46.44 | 7: iteration 36100/ 41007 | consumed samples: 9241600 | consumed tokens: 18926796800 | elapsed time per iteration (s): 0.78 | learning rate: 2.641E-05 | global batch size: 256 | lm loss: 2.178328E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.195 | TFLOPs: 45.08 | 7: iteration 36110/ 41007 | consumed samples: 9244160 | consumed tokens: 18932039680 | elapsed time per iteration (s): 0.93 | learning rate: 2.639E-05 | global batch size: 256 | lm loss: 2.158789E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.902 | TFLOPs: 37.90 | 7: iteration 36120/ 41007 | consumed samples: 9246720 | consumed tokens: 18937282560 | elapsed time per iteration (s): 0.79 | learning rate: 2.636E-05 | global batch size: 256 | lm loss: 2.145354E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.217 | TFLOPs: 44.26 | 7: iteration 36130/ 41007 | consumed samples: 9249280 | consumed tokens: 18942525440 | elapsed time per iteration (s): 0.76 | learning rate: 2.634E-05 | global batch size: 256 | lm loss: 2.125948E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.713 | TFLOPs: 46.39 | 7: iteration 36140/ 41007 | consumed samples: 9251840 | consumed tokens: 18947768320 | elapsed time per iteration (s): 0.77 | learning rate: 2.631E-05 | global batch size: 256 | lm loss: 2.133434E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.548 | TFLOPs: 45.68 | 7: iteration 36150/ 41007 | consumed samples: 9254400 | consumed tokens: 18953011200 | elapsed time per iteration (s): 0.77 | learning rate: 2.628E-05 | global batch size: 256 | lm loss: 2.184854E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.477 | TFLOPs: 45.81 | 7: iteration 36160/ 41007 | consumed samples: 9256960 | consumed tokens: 18958254080 | elapsed time per iteration (s): 0.75 | learning rate: 2.626E-05 | global batch size: 256 | lm loss: 2.175013E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.257 | TFLOPs: 46.87 | 7: iteration 36170/ 41007 | consumed samples: 9259520 | consumed tokens: 18963496960 | elapsed time per iteration (s): 0.76 | learning rate: 2.623E-05 | global batch size: 256 | lm loss: 2.166171E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.730 | TFLOPs: 46.25 | 7: iteration 36180/ 41007 | consumed samples: 9262080 | consumed tokens: 18968739840 | elapsed time per iteration (s): 0.78 | learning rate: 2.621E-05 | global batch size: 256 | lm loss: 2.151353E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.263 | TFLOPs: 44.95 | 7: iteration 36190/ 41007 | consumed samples: 9264640 | consumed tokens: 18973982720 | elapsed time per iteration (s): 0.77 | learning rate: 2.618E-05 | global batch size: 256 | lm loss: 2.152857E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.460 | TFLOPs: 45.94 | 7: iteration 36200/ 41007 | consumed samples: 9267200 | consumed tokens: 18979225600 | elapsed time per iteration (s): 0.75 | learning rate: 2.616E-05 | global batch size: 256 | lm loss: 2.165356E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.687 | TFLOPs: 46.93 | 7: iteration 36210/ 41007 | consumed samples: 9269760 | consumed tokens: 18984468480 | elapsed time per iteration (s): 0.76 | learning rate: 2.613E-05 | global batch size: 256 | lm loss: 2.138405E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.807 | TFLOPs: 46.13 | 7: iteration 36220/ 41007 | consumed samples: 9272320 | consumed tokens: 18989711360 | elapsed time per iteration (s): 0.76 | learning rate: 2.611E-05 | global batch size: 256 | lm loss: 2.175415E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.531 | TFLOPs: 46.09 | 7: iteration 36230/ 41007 | consumed samples: 9274880 | consumed tokens: 18994954240 | elapsed time per iteration (s): 0.79 | learning rate: 2.608E-05 | global batch size: 256 | lm loss: 2.165185E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.497 | TFLOPs: 44.71 | 7: iteration 36240/ 41007 | consumed samples: 9277440 | consumed tokens: 19000197120 | elapsed time per iteration (s): 0.77 | learning rate: 2.606E-05 | global batch size: 256 | lm loss: 2.166767E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.607 | TFLOPs: 45.96 | 7: iteration 36250/ 41007 | consumed samples: 9280000 | consumed tokens: 19005440000 | elapsed time per iteration (s): 0.76 | learning rate: 2.603E-05 | global batch size: 256 | lm loss: 2.138453E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.678 | TFLOPs: 46.25 | 7: iteration 36260/ 41007 | consumed samples: 9282560 | consumed tokens: 19010682880 | elapsed time per iteration (s): 0.75 | learning rate: 2.601E-05 | global batch size: 256 | lm loss: 2.129385E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.963 | TFLOPs: 46.70 | 7: iteration 36270/ 41007 | consumed samples: 9285120 | consumed tokens: 19015925760 | elapsed time per iteration (s): 0.77 | learning rate: 2.598E-05 | global batch size: 256 | lm loss: 2.166968E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.505 | TFLOPs: 45.81 | 7: iteration 36280/ 41007 | consumed samples: 9287680 | consumed tokens: 19021168640 | elapsed time per iteration (s): 0.79 | learning rate: 2.596E-05 | global batch size: 256 | lm loss: 2.142211E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.868 | TFLOPs: 44.76 | 7: iteration 36290/ 41007 | consumed samples: 9290240 | consumed tokens: 19026411520 | elapsed time per iteration (s): 0.78 | learning rate: 2.593E-05 | global batch size: 256 | lm loss: 2.171353E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.844 | TFLOPs: 45.31 | 7: iteration 36300/ 41007 | consumed samples: 9292800 | consumed tokens: 19031654400 | elapsed time per iteration (s): 0.77 | learning rate: 2.591E-05 | global batch size: 256 | lm loss: 2.165532E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.416 | TFLOPs: 45.93 | 7: iteration 36310/ 41007 | consumed samples: 9295360 | consumed tokens: 19036897280 | elapsed time per iteration (s): 0.77 | learning rate: 2.588E-05 | global batch size: 256 | lm loss: 2.161816E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.441 | TFLOPs: 45.66 | 7: iteration 36320/ 41007 | consumed samples: 9297920 | consumed tokens: 19042140160 | elapsed time per iteration (s): 0.76 | learning rate: 2.586E-05 | global batch size: 256 | lm loss: 2.139973E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.431 | TFLOPs: 46.21 | 7: iteration 36330/ 41007 | consumed samples: 9300480 | consumed tokens: 19047383040 | elapsed time per iteration (s): 0.76 | learning rate: 2.583E-05 | global batch size: 256 | lm loss: 2.124140E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.457 | TFLOPs: 46.08 | 7: iteration 36340/ 41007 | consumed samples: 9303040 | consumed tokens: 19052625920 | elapsed time per iteration (s): 0.77 | learning rate: 2.581E-05 | global batch size: 256 | lm loss: 2.156142E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.595 | TFLOPs: 45.41 | 7: iteration 36350/ 41007 | consumed samples: 9305600 | consumed tokens: 19057868800 | elapsed time per iteration (s): 0.77 | learning rate: 2.578E-05 | global batch size: 256 | lm loss: 2.125348E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.215 | TFLOPs: 45.91 | 7: iteration 36360/ 41007 | consumed samples: 9308160 | consumed tokens: 19063111680 | elapsed time per iteration (s): 0.78 | learning rate: 2.576E-05 | global batch size: 256 | lm loss: 2.162981E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.544 | TFLOPs: 45.27 | 7: iteration 36370/ 41007 | consumed samples: 9310720 | consumed tokens: 19068354560 | elapsed time per iteration (s): 0.79 | learning rate: 2.573E-05 | global batch size: 256 | lm loss: 2.152287E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.989 | TFLOPs: 44.78 | 7: iteration 36380/ 41007 | consumed samples: 9313280 | consumed tokens: 19073597440 | elapsed time per iteration (s): 0.76 | learning rate: 2.571E-05 | global batch size: 256 | lm loss: 2.163494E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.504 | TFLOPs: 46.08 | 7: iteration 36390/ 41007 | consumed samples: 9315840 | consumed tokens: 19078840320 | elapsed time per iteration (s): 0.77 | learning rate: 2.569E-05 | global batch size: 256 | lm loss: 2.145057E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.097 | TFLOPs: 45.62 | 7: iteration 36400/ 41007 | consumed samples: 9318400 | consumed tokens: 19084083200 | elapsed time per iteration (s): 0.76 | learning rate: 2.566E-05 | global batch size: 256 | lm loss: 2.166735E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.701 | TFLOPs: 46.52 | 7: iteration 36410/ 41007 | consumed samples: 9320960 | consumed tokens: 19089326080 | elapsed time per iteration (s): 0.77 | learning rate: 2.564E-05 | global batch size: 256 | lm loss: 2.135719E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.438 | TFLOPs: 45.94 | 7: iteration 36420/ 41007 | consumed samples: 9323520 | consumed tokens: 19094568960 | elapsed time per iteration (s): 0.75 | learning rate: 2.561E-05 | global batch size: 256 | lm loss: 2.138456E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.692 | TFLOPs: 46.93 | 7: iteration 36430/ 41007 | consumed samples: 9326080 | consumed tokens: 19099811840 | elapsed time per iteration (s): 0.76 | learning rate: 2.559E-05 | global batch size: 256 | lm loss: 2.150286E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.825 | TFLOPs: 45.99 | 7: iteration 36440/ 41007 | consumed samples: 9328640 | consumed tokens: 19105054720 | elapsed time per iteration (s): 0.76 | learning rate: 2.556E-05 | global batch size: 256 | lm loss: 2.135310E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.523 | TFLOPs: 46.36 | 7: iteration 36450/ 41007 | consumed samples: 9331200 | consumed tokens: 19110297600 | elapsed time per iteration (s): 0.76 | learning rate: 2.554E-05 | global batch size: 256 | lm loss: 2.166728E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.590 | TFLOPs: 46.23 | 7: iteration 36460/ 41007 | consumed samples: 9333760 | consumed tokens: 19115540480 | elapsed time per iteration (s): 0.76 | learning rate: 2.552E-05 | global batch size: 256 | lm loss: 2.147557E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.474 | TFLOPs: 46.49 | 7: iteration 36470/ 41007 | consumed samples: 9336320 | consumed tokens: 19120783360 | elapsed time per iteration (s): 0.76 | learning rate: 2.549E-05 | global batch size: 256 | lm loss: 2.136096E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.467 | TFLOPs: 46.22 | 7: iteration 36480/ 41007 | consumed samples: 9338880 | consumed tokens: 19126026240 | elapsed time per iteration (s): 0.76 | learning rate: 2.547E-05 | global batch size: 256 | lm loss: 2.156189E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.553 | TFLOPs: 46.37 | 7: iteration 36490/ 41007 | consumed samples: 9341440 | consumed tokens: 19131269120 | elapsed time per iteration (s): 0.75 | learning rate: 2.544E-05 | global batch size: 256 | lm loss: 2.168968E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.524 | TFLOPs: 46.64 | 7: iteration 36500/ 41007 | consumed samples: 9344000 | consumed tokens: 19136512000 | elapsed time per iteration (s): 0.78 | learning rate: 2.542E-05 | global batch size: 256 | lm loss: 2.124730E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.016 | TFLOPs: 44.92 | 7: iteration 36510/ 41007 | consumed samples: 9346560 | consumed tokens: 19141754880 | elapsed time per iteration (s): 0.77 | learning rate: 2.540E-05 | global batch size: 256 | lm loss: 2.158687E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.395 | TFLOPs: 45.38 | 7: iteration 36520/ 41007 | consumed samples: 9349120 | consumed tokens: 19146997760 | elapsed time per iteration (s): 0.78 | learning rate: 2.537E-05 | global batch size: 256 | lm loss: 2.121722E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.105 | TFLOPs: 45.07 | 7: iteration 36530/ 41007 | consumed samples: 9351680 | consumed tokens: 19152240640 | elapsed time per iteration (s): 0.76 | learning rate: 2.535E-05 | global batch size: 256 | lm loss: 2.153864E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.587 | TFLOPs: 46.37 | 7: iteration 36540/ 41007 | consumed samples: 9354240 | consumed tokens: 19157483520 | elapsed time per iteration (s): 0.75 | learning rate: 2.533E-05 | global batch size: 256 | lm loss: 2.152336E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.385 | TFLOPs: 46.62 | 7: iteration 36550/ 41007 | consumed samples: 9356800 | consumed tokens: 19162726400 | elapsed time per iteration (s): 0.75 | learning rate: 2.530E-05 | global batch size: 256 | lm loss: 2.146555E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.156 | TFLOPs: 46.59 | 7: iteration 36560/ 41007 | consumed samples: 9359360 | consumed tokens: 19167969280 | elapsed time per iteration (s): 0.77 | learning rate: 2.528E-05 | global batch size: 256 | lm loss: 2.161695E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.183 | TFLOPs: 45.49 | 7: iteration 36570/ 41007 | consumed samples: 9361920 | consumed tokens: 19173212160 | elapsed time per iteration (s): 0.75 | learning rate: 2.526E-05 | global batch size: 256 | lm loss: 2.133874E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.128 | TFLOPs: 46.99 | 7: iteration 36580/ 41007 | consumed samples: 9364480 | consumed tokens: 19178455040 | elapsed time per iteration (s): 0.78 | learning rate: 2.523E-05 | global batch size: 256 | lm loss: 2.125296E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.713 | TFLOPs: 45.01 | 7: iteration 36590/ 41007 | consumed samples: 9367040 | consumed tokens: 19183697920 | elapsed time per iteration (s): 0.77 | learning rate: 2.521E-05 | global batch size: 256 | lm loss: 2.135775E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.323 | TFLOPs: 45.78 | 7: iteration 36600/ 41007 | consumed samples: 9369600 | consumed tokens: 19188940800 | elapsed time per iteration (s): 0.76 | learning rate: 2.519E-05 | global batch size: 256 | lm loss: 2.108995E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.048 | TFLOPs: 46.30 | 7: iteration 36610/ 41007 | consumed samples: 9372160 | consumed tokens: 19194183680 | elapsed time per iteration (s): 0.75 | learning rate: 2.516E-05 | global batch size: 256 | lm loss: 2.180715E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.373 | TFLOPs: 46.62 | 7: iteration 36620/ 41007 | consumed samples: 9374720 | consumed tokens: 19199426560 | elapsed time per iteration (s): 0.77 | learning rate: 2.514E-05 | global batch size: 256 | lm loss: 2.151630E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.042 | TFLOPs: 45.75 | 7: iteration 36630/ 41007 | consumed samples: 9377280 | consumed tokens: 19204669440 | elapsed time per iteration (s): 0.77 | learning rate: 2.512E-05 | global batch size: 256 | lm loss: 2.103521E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.807 | TFLOPs: 45.85 | 7: iteration 36640/ 41007 | consumed samples: 9379840 | consumed tokens: 19209912320 | elapsed time per iteration (s): 0.75 | learning rate: 2.509E-05 | global batch size: 256 | lm loss: 2.151626E+00 | grad norm: 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size: 256 | lm loss: 2.162799E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.057 | TFLOPs: 46.30 | 7: iteration 36680/ 41007 | consumed samples: 9390080 | consumed tokens: 19230883840 | elapsed time per iteration (s): 0.77 | learning rate: 2.500E-05 | global batch size: 256 | lm loss: 2.150694E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.649 | TFLOPs: 45.55 | 7: iteration 36690/ 41007 | consumed samples: 9392640 | consumed tokens: 19236126720 | elapsed time per iteration (s): 0.78 | learning rate: 2.498E-05 | global batch size: 256 | lm loss: 2.145851E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.599 | TFLOPs: 45.00 | 7: iteration 36700/ 41007 | consumed samples: 9395200 | consumed tokens: 19241369600 | elapsed time per iteration (s): 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iterations: 0 | samples per second: 334.145 | TFLOPs: 45.90 | 7: iteration 36820/ 41007 | consumed samples: 9425920 | consumed tokens: 19304284160 | elapsed time per iteration (s): 0.77 | learning rate: 2.469E-05 | global batch size: 256 | lm loss: 2.157091E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.212 | TFLOPs: 45.77 | 7: iteration 36830/ 41007 | consumed samples: 9428480 | consumed tokens: 19309527040 | elapsed time per iteration (s): 0.76 | learning rate: 2.466E-05 | global batch size: 256 | lm loss: 2.159552E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.396 | TFLOPs: 46.21 | 7: iteration 36840/ 41007 | consumed samples: 9431040 | consumed tokens: 19314769920 | elapsed time per iteration (s): 0.76 | learning rate: 2.464E-05 | global batch size: 256 | lm loss: 2.133638E+00 | grad norm: 0.199 | num zeros: 0.0 | 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2.451E-05 | global batch size: 256 | lm loss: 2.173767E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.364 | TFLOPs: 45.38 | 7: iteration 36910/ 41007 | consumed samples: 9448960 | consumed tokens: 19351470080 | elapsed time per iteration (s): 0.75 | learning rate: 2.449E-05 | global batch size: 256 | lm loss: 2.176962E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.221 | TFLOPs: 46.59 | 7: iteration 36920/ 41007 | consumed samples: 9451520 | consumed tokens: 19356712960 | elapsed time per iteration (s): 0.77 | learning rate: 2.447E-05 | global batch size: 256 | lm loss: 2.146456E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.910 | TFLOPs: 45.73 | 7: iteration 36930/ 41007 | consumed samples: 9454080 | consumed tokens: 19361955840 | elapsed time per iteration (s): 0.77 | learning rate: 2.444E-05 | global batch size: 256 | lm loss: 2.161561E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.621 | TFLOPs: 45.96 | 7: iteration 36940/ 41007 | consumed samples: 9456640 | consumed tokens: 19367198720 | elapsed time per iteration (s): 0.76 | learning rate: 2.442E-05 | global batch size: 256 | lm loss: 2.184012E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.848 | TFLOPs: 46.13 | 7: iteration 36950/ 41007 | consumed samples: 9459200 | consumed tokens: 19372441600 | elapsed time per iteration (s): 0.76 | learning rate: 2.440E-05 | global batch size: 256 | lm loss: 2.149061E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.758 | TFLOPs: 46.39 | 7: iteration 36960/ 41007 | consumed samples: 9461760 | consumed tokens: 19377684480 | elapsed time per iteration (s): 0.75 | learning rate: 2.438E-05 | global batch size: 256 | lm loss: 2.129018E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.610 | TFLOPs: 46.65 | 7: iteration 36970/ 41007 | consumed samples: 9464320 | consumed tokens: 19382927360 | elapsed time per iteration (s): 0.78 | learning rate: 2.436E-05 | global batch size: 256 | lm loss: 2.169073E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.986 | TFLOPs: 45.05 | 7: iteration 36980/ 41007 | consumed samples: 9466880 | consumed tokens: 19388170240 | elapsed time per iteration (s): 0.75 | learning rate: 2.434E-05 | global batch size: 256 | lm loss: 2.158592E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.095 | TFLOPs: 46.58 | 7: iteration 36990/ 41007 | consumed samples: 9469440 | consumed tokens: 19393413120 | elapsed time per iteration (s): 0.76 | learning rate: 2.432E-05 | global batch size: 256 | lm loss: 2.133200E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.415 | TFLOPs: 46.21 | 7: iteration 37000/ 41007 | consumed samples: 9472000 | consumed tokens: 19398656000 | elapsed time per iteration (s): 0.76 | learning rate: 2.429E-05 | global batch size: 256 | lm loss: 2.142052E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.833 | TFLOPs: 46.13 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 37000 | lm loss value: 2.144042E+00 | lm loss PPL: 8.533862E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 37000 to checkpoints_619m22b 0: [2022-11-28 20:53:41,524] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step37000 is begin to save! 0: [2022-11-28 20:53:41,579] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step37000/layer_01-model_00-model_states.pt... 0: [2022-11-28 20:53:41,877] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step37000/layer_01-model_00-model_states.pt. 0: [2022-11-28 20:53:41,877] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step37000/layer_03-model_00-model_states.pt... 0: [2022-11-28 20:53:41,932] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step37000/layer_03-model_00-model_states.pt. 0: [2022-11-28 20:53:41,932] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step37000/layer_04-model_00-model_states.pt... 0: [2022-11-28 20:53:41,989] 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2.164892E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 263.878 | TFLOPs: 36.25 | 7: iteration 37020/ 41007 | consumed samples: 9477120 | consumed tokens: 19409141760 | elapsed time per iteration (s): 0.76 | learning rate: 2.425E-05 | global batch size: 256 | lm loss: 2.125327E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.305 | TFLOPs: 46.33 | 7: iteration 37030/ 41007 | consumed samples: 9479680 | consumed tokens: 19414384640 | elapsed time per iteration (s): 0.78 | learning rate: 2.423E-05 | global batch size: 256 | lm loss: 2.165721E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.459 | TFLOPs: 45.25 | 7: iteration 37040/ 41007 | consumed samples: 9482240 | consumed tokens: 19419627520 | elapsed time per iteration (s): 0.76 | learning rate: 2.421E-05 | global batch size: 256 | lm loss: 2.138557E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.707 | TFLOPs: 46.11 | 7: iteration 37050/ 41007 | consumed samples: 9484800 | consumed tokens: 19424870400 | elapsed time per iteration (s): 0.77 | learning rate: 2.419E-05 | global batch size: 256 | lm loss: 2.162480E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.736 | TFLOPs: 45.84 | 7: iteration 37060/ 41007 | consumed samples: 9487360 | consumed tokens: 19430113280 | elapsed time per iteration (s): 0.76 | learning rate: 2.417E-05 | global batch size: 256 | lm loss: 2.139660E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.409 | TFLOPs: 46.21 | 7: iteration 37070/ 41007 | consumed samples: 9489920 | consumed tokens: 19435356160 | elapsed time per iteration (s): 0.76 | learning rate: 2.415E-05 | global batch size: 256 | lm loss: 2.141421E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.564 | TFLOPs: 46.09 | 7: iteration 37080/ 41007 | consumed samples: 9492480 | consumed tokens: 19440599040 | elapsed time per iteration (s): 0.77 | learning rate: 2.413E-05 | global batch size: 256 | lm loss: 2.143122E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.423 | TFLOPs: 45.66 | 7: iteration 37090/ 41007 | consumed samples: 9495040 | consumed tokens: 19445841920 | elapsed time per iteration (s): 0.77 | learning rate: 2.410E-05 | global batch size: 256 | lm loss: 2.161656E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.953 | TFLOPs: 45.73 | 7: iteration 37100/ 41007 | consumed samples: 9497600 | consumed tokens: 19451084800 | elapsed time per iteration (s): 0.77 | learning rate: 2.408E-05 | global batch size: 256 | lm loss: 2.140594E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.888 | TFLOPs: 45.86 | 7: iteration 37110/ 41007 | consumed samples: 9500160 | consumed tokens: 19456327680 | elapsed time per iteration (s): 0.76 | learning rate: 2.406E-05 | global batch size: 256 | lm loss: 2.166423E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.810 | TFLOPs: 45.99 | 7: iteration 37120/ 41007 | consumed samples: 9502720 | consumed tokens: 19461570560 | elapsed time per iteration (s): 0.77 | learning rate: 2.404E-05 | global batch size: 256 | lm loss: 2.126501E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.917 | TFLOPs: 45.59 | 7: iteration 37130/ 41007 | consumed samples: 9505280 | consumed tokens: 19466813440 | elapsed time per iteration (s): 0.76 | learning rate: 2.402E-05 | global batch size: 256 | lm loss: 2.184184E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.046 | TFLOPs: 46.43 | 7: iteration 37140/ 41007 | consumed samples: 9507840 | consumed tokens: 19472056320 | elapsed time per iteration (s): 0.77 | learning rate: 2.400E-05 | global batch size: 256 | lm loss: 2.136822E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.221 | TFLOPs: 45.91 | 7: iteration 37150/ 41007 | consumed samples: 9510400 | consumed tokens: 19477299200 | elapsed time per iteration (s): 0.77 | learning rate: 2.398E-05 | global batch size: 256 | lm loss: 2.150532E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.646 | TFLOPs: 45.42 | 7: iteration 37160/ 41007 | consumed samples: 9512960 | consumed tokens: 19482542080 | elapsed time per iteration (s): 0.75 | learning rate: 2.396E-05 | global batch size: 256 | lm loss: 2.162329E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.559 | TFLOPs: 46.78 | 7: iteration 37170/ 41007 | consumed samples: 9515520 | consumed tokens: 19487784960 | elapsed time per iteration (s): 0.77 | learning rate: 2.394E-05 | global batch size: 256 | lm loss: 2.126086E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.921 | TFLOPs: 45.59 | 7: iteration 37180/ 41007 | consumed samples: 9518080 | consumed tokens: 19493027840 | elapsed time per iteration (s): 0.75 | learning rate: 2.392E-05 | global batch size: 256 | lm loss: 2.147994E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.136 | TFLOPs: 46.58 | 7: iteration 37190/ 41007 | consumed samples: 9520640 | consumed tokens: 19498270720 | elapsed time per iteration (s): 0.75 | learning rate: 2.390E-05 | global batch size: 256 | lm loss: 2.142602E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.079 | TFLOPs: 46.99 | 7: iteration 37200/ 41007 | consumed samples: 9523200 | consumed tokens: 19503513600 | elapsed time per iteration (s): 0.76 | learning rate: 2.388E-05 | global batch size: 256 | lm loss: 2.134690E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.127 | TFLOPs: 46.03 | 7: iteration 37210/ 41007 | consumed samples: 9525760 | consumed tokens: 19508756480 | elapsed time per iteration (s): 0.76 | learning rate: 2.386E-05 | global batch size: 256 | lm loss: 2.144657E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.447 | TFLOPs: 46.21 | 7: iteration 37220/ 41007 | consumed samples: 9528320 | consumed tokens: 19513999360 | elapsed time per iteration (s): 0.76 | learning rate: 2.384E-05 | global batch size: 256 | lm loss: 2.156728E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.667 | TFLOPs: 45.97 | 7: iteration 37230/ 41007 | consumed samples: 9530880 | consumed tokens: 19519242240 | elapsed time per iteration (s): 0.77 | learning rate: 2.382E-05 | global batch size: 256 | lm loss: 2.163194E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.608 | TFLOPs: 45.69 | 7: iteration 37240/ 41007 | consumed samples: 9533440 | consumed tokens: 19524485120 | elapsed time per iteration (s): 0.76 | learning rate: 2.380E-05 | global batch size: 256 | lm loss: 2.118941E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.403 | TFLOPs: 46.21 | 7: iteration 37250/ 41007 | consumed samples: 9536000 | consumed tokens: 19529728000 | elapsed time per iteration (s): 0.75 | learning rate: 2.378E-05 | global batch size: 256 | lm loss: 2.156597E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.779 | TFLOPs: 46.67 | 7: iteration 37260/ 41007 | consumed samples: 9538560 | consumed tokens: 19534970880 | elapsed time per iteration (s): 0.76 | learning rate: 2.376E-05 | global batch size: 256 | lm loss: 2.131011E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.196 | TFLOPs: 46.32 | 7: iteration 37270/ 41007 | consumed samples: 9541120 | consumed tokens: 19540213760 | elapsed time per iteration (s): 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iteration 37560/ 41007 | consumed samples: 9615360 | consumed tokens: 19692257280 | elapsed time per iteration (s): 0.75 | learning rate: 2.318E-05 | global batch size: 256 | lm loss: 2.110787E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.229 | TFLOPs: 46.73 | 7: iteration 37570/ 41007 | consumed samples: 9617920 | consumed tokens: 19697500160 | elapsed time per iteration (s): 0.77 | learning rate: 2.317E-05 | global batch size: 256 | lm loss: 2.144292E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.888 | TFLOPs: 45.86 | 7: iteration 37580/ 41007 | consumed samples: 9620480 | consumed tokens: 19702743040 | elapsed time per iteration (s): 0.76 | learning rate: 2.315E-05 | global batch size: 256 | lm loss: 2.173995E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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2.151623E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.387 | TFLOPs: 46.48 | 7: iteration 37880/ 41007 | consumed samples: 9697280 | consumed tokens: 19860029440 | elapsed time per iteration (s): 0.76 | learning rate: 2.262E-05 | global batch size: 256 | lm loss: 2.149303E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.025 | TFLOPs: 46.43 | 7: iteration 37890/ 41007 | consumed samples: 9699840 | consumed tokens: 19865272320 | elapsed time per iteration (s): 0.76 | learning rate: 2.261E-05 | global batch size: 256 | lm loss: 2.158537E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.626 | TFLOPs: 46.24 | 7: iteration 37900/ 41007 | consumed samples: 9702400 | consumed tokens: 19870515200 | elapsed time per iteration (s): 0.78 | learning rate: 2.259E-05 | global batch size: 256 | lm loss: 2.125414E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.275 | TFLOPs: 45.23 | 7: iteration 37910/ 41007 | consumed samples: 9704960 | consumed tokens: 19875758080 | elapsed time per iteration (s): 0.75 | learning rate: 2.257E-05 | global batch size: 256 | lm loss: 2.133768E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.646 | TFLOPs: 46.93 | 7: iteration 37920/ 41007 | consumed samples: 9707520 | consumed tokens: 19881000960 | elapsed time per iteration (s): 0.76 | learning rate: 2.256E-05 | global batch size: 256 | lm loss: 2.174566E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.273 | TFLOPs: 46.46 | 7: iteration 37930/ 41007 | consumed samples: 9710080 | consumed tokens: 19886243840 | elapsed time per iteration (s): 0.76 | learning rate: 2.254E-05 | global batch size: 256 | lm loss: 2.128552E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.248 | TFLOPs: 46.32 | 7: iteration 37940/ 41007 | consumed samples: 9712640 | consumed tokens: 19891486720 | elapsed time per iteration (s): 0.76 | learning rate: 2.252E-05 | global batch size: 256 | lm loss: 2.145701E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.471 | TFLOPs: 46.49 | 7: iteration 37950/ 41007 | consumed samples: 9715200 | consumed tokens: 19896729600 | elapsed time per iteration (s): 0.76 | learning rate: 2.251E-05 | global batch size: 256 | lm loss: 2.158751E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.804 | TFLOPs: 45.99 | 7: iteration 37960/ 41007 | consumed samples: 9717760 | consumed tokens: 19901972480 | elapsed time per iteration (s): 0.77 | learning rate: 2.249E-05 | global batch size: 256 | lm loss: 2.158771E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.920 | TFLOPs: 45.59 | 7: iteration 37970/ 41007 | consumed samples: 9720320 | consumed tokens: 19907215360 | elapsed time per iteration (s): 0.75 | learning rate: 2.248E-05 | global batch size: 256 | lm loss: 2.145395E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.137 | TFLOPs: 46.72 | 7: iteration 37980/ 41007 | consumed samples: 9722880 | consumed tokens: 19912458240 | elapsed time per iteration (s): 0.80 | learning rate: 2.246E-05 | global batch size: 256 | lm loss: 2.133397E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.746 | TFLOPs: 44.19 | 7: iteration 37990/ 41007 | consumed samples: 9725440 | consumed tokens: 19917701120 | elapsed time per iteration (s): 0.76 | learning rate: 2.244E-05 | global batch size: 256 | lm loss: 2.150679E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.428 | TFLOPs: 46.49 | 0: [2022-11-28 21:06:25,601] [INFO] [logging.py:68:log_dist] [Rank 0] step=38000, skipped=0, lr=[2.242715499606224e-05, 2.242715499606224e-05, 2.242715499606224e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 38000/ 41007 | consumed samples: 9728000 | consumed tokens: 19922944000 | elapsed time per iteration (s): 0.76 | learning rate: 2.243E-05 | global batch size: 256 | lm loss: 2.147386E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.742 | TFLOPs: 46.25 | 0: steps: 38000 loss: 2.2248 iter time (s): 0.763 samples/sec: 335.696 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 38000 | lm loss value: 2.150792E+00 | lm loss PPL: 8.591663E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 38000 to checkpoints_619m22b 0: [2022-11-28 21:06:25,867] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step38000 is begin to save! 0: [2022-11-28 21:06:25,870] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step38000/layer_01-model_00-model_states.pt... 0: [2022-11-28 21:06:26,048] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step38000/layer_01-model_00-model_states.pt. 0: [2022-11-28 21:06:26,049] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step38000/layer_03-model_00-model_states.pt... 0: [2022-11-28 21:06:26,103] [INFO] 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Saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-28 21:06:27,368] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-28 21:06:27,368] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-28 21:06:27,368] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-28 21:06:27,368] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 1: [2022-11-28 21:06:27,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 1: [2022-11-28 21:06:27,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 0: [2022-11-28 21:06:27,394] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-28 21:06:27,395] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-28 21:06:27,395] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 0: [2022-11-28 21:06:27,408] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step38000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-28 21:06:27,408] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step38000 is ready now! 0: successfully saved checkpoint at iteration 38000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 1560.57 7: iteration 38010/ 41007 | consumed samples: 9730560 | consumed tokens: 19928186880 | elapsed time per iteration (s): 0.95 | learning rate: 2.241E-05 | global batch size: 256 | lm loss: 2.142912E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.345 | TFLOPs: 37.13 | 7: iteration 38020/ 41007 | consumed samples: 9733120 | consumed tokens: 19933429760 | elapsed time per iteration (s): 0.75 | learning rate: 2.240E-05 | global batch size: 256 | lm loss: 2.104068E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.145 | TFLOPs: 46.58 | 7: iteration 38030/ 41007 | consumed samples: 9735680 | consumed tokens: 19938672640 | elapsed time per iteration (s): 0.77 | learning rate: 2.238E-05 | global batch size: 256 | lm loss: 2.143943E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.382 | TFLOPs: 45.38 | 7: iteration 38040/ 41007 | consumed samples: 9738240 | consumed tokens: 19943915520 | elapsed time per iteration (s): 0.77 | learning rate: 2.236E-05 | global batch size: 256 | lm loss: 2.114874E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.597 | TFLOPs: 45.55 | 7: iteration 38050/ 41007 | consumed samples: 9740800 | consumed tokens: 19949158400 | elapsed time per iteration (s): 0.77 | learning rate: 2.235E-05 | global batch size: 256 | lm loss: 2.152701E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.128 | TFLOPs: 45.90 | 7: iteration 38060/ 41007 | consumed samples: 9743360 | consumed tokens: 19954401280 | elapsed time per iteration (s): 0.78 | learning rate: 2.233E-05 | global batch size: 256 | lm loss: 2.144641E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.854 | TFLOPs: 45.17 | 7: iteration 38070/ 41007 | consumed samples: 9745920 | consumed tokens: 19959644160 | elapsed time per iteration (s): 0.77 | learning rate: 2.232E-05 | global batch size: 256 | lm loss: 2.131794E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.745 | TFLOPs: 45.71 | 7: iteration 38080/ 41007 | consumed samples: 9748480 | consumed tokens: 19964887040 | elapsed time per iteration (s): 0.76 | learning rate: 2.230E-05 | global batch size: 256 | lm loss: 2.129741E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.711 | TFLOPs: 46.11 | 7: iteration 38090/ 41007 | consumed samples: 9751040 | consumed tokens: 19970129920 | elapsed time per iteration (s): 0.77 | learning rate: 2.228E-05 | global batch size: 256 | lm loss: 2.129641E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.822 | TFLOPs: 45.85 | 7: iteration 38100/ 41007 | consumed samples: 9753600 | consumed tokens: 19975372800 | elapsed time per iteration (s): 0.77 | learning rate: 2.227E-05 | global batch size: 256 | lm loss: 2.136819E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.686 | TFLOPs: 45.83 | 7: iteration 38110/ 41007 | consumed samples: 9756160 | consumed tokens: 19980615680 | elapsed time per iteration (s): 0.77 | learning rate: 2.225E-05 | global batch size: 256 | lm loss: 2.151265E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.507 | TFLOPs: 45.81 | 7: iteration 38120/ 41007 | consumed samples: 9758720 | consumed tokens: 19985858560 | elapsed time per iteration (s): 0.78 | learning rate: 2.224E-05 | global batch size: 256 | lm loss: 2.154928E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.535 | TFLOPs: 45.26 | 7: iteration 38130/ 41007 | consumed samples: 9761280 | consumed tokens: 19991101440 | elapsed time per iteration (s): 0.79 | learning rate: 2.222E-05 | global batch size: 256 | lm loss: 2.161893E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.345 | TFLOPs: 44.69 | 7: iteration 38140/ 41007 | consumed samples: 9763840 | consumed tokens: 19996344320 | elapsed time per iteration (s): 0.77 | learning rate: 2.221E-05 | global batch size: 256 | lm loss: 2.166213E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.176 | TFLOPs: 45.76 | 7: iteration 38150/ 41007 | consumed samples: 9766400 | consumed tokens: 20001587200 | elapsed time per iteration (s): 0.75 | learning rate: 2.219E-05 | global batch size: 256 | lm loss: 2.152816E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.712 | TFLOPs: 46.80 | 7: iteration 38160/ 41007 | consumed samples: 9768960 | consumed tokens: 20006830080 | elapsed time per iteration (s): 0.76 | learning rate: 2.218E-05 | global batch size: 256 | lm loss: 2.151994E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.952 | TFLOPs: 46.56 | 7: iteration 38170/ 41007 | consumed samples: 9771520 | consumed tokens: 20012072960 | elapsed time per iteration (s): 0.76 | learning rate: 2.216E-05 | global batch size: 256 | lm loss: 2.179486E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.832 | TFLOPs: 46.27 | 7: iteration 38180/ 41007 | consumed samples: 9774080 | consumed tokens: 20017315840 | elapsed time per iteration (s): 0.76 | learning rate: 2.215E-05 | global batch size: 256 | lm loss: 2.151645E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.514 | TFLOPs: 46.50 | 7: iteration 38190/ 41007 | consumed samples: 9776640 | consumed tokens: 20022558720 | elapsed time per iteration (s): 0.75 | learning rate: 2.213E-05 | global batch size: 256 | lm loss: 2.157169E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.172 | TFLOPs: 46.59 | 7: iteration 38200/ 41007 | consumed samples: 9779200 | consumed tokens: 20027801600 | elapsed time per iteration (s): 0.77 | learning rate: 2.212E-05 | global batch size: 256 | lm loss: 2.144236E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.591 | TFLOPs: 45.41 | 7: iteration 38210/ 41007 | consumed samples: 9781760 | consumed tokens: 20033044480 | elapsed time per iteration (s): 0.76 | learning rate: 2.210E-05 | global batch size: 256 | lm loss: 2.168736E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.624 | TFLOPs: 46.24 | 7: iteration 38220/ 41007 | consumed samples: 9784320 | consumed tokens: 20038287360 | elapsed time per iteration (s): 0.79 | learning rate: 2.209E-05 | global batch size: 256 | lm loss: 2.134128E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.817 | TFLOPs: 44.75 | 7: iteration 38230/ 41007 | consumed samples: 9786880 | consumed tokens: 20043530240 | elapsed time per iteration (s): 0.76 | learning rate: 2.207E-05 | global batch size: 256 | lm loss: 2.143817E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.310 | TFLOPs: 46.06 | 7: iteration 38240/ 41007 | consumed samples: 9789440 | consumed tokens: 20048773120 | elapsed time per iteration (s): 0.77 | learning rate: 2.206E-05 | global batch size: 256 | lm loss: 2.190188E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.089 | TFLOPs: 45.75 | 7: iteration 38250/ 41007 | consumed samples: 9792000 | consumed tokens: 20054016000 | elapsed time per iteration (s): 0.76 | learning rate: 2.204E-05 | global batch size: 256 | lm loss: 2.161760E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.376 | TFLOPs: 46.48 | 7: iteration 38260/ 41007 | consumed samples: 9794560 | consumed tokens: 20059258880 | elapsed time per iteration (s): 0.75 | learning rate: 2.203E-05 | global batch size: 256 | lm loss: 2.123258E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.578 | TFLOPs: 46.78 | 7: iteration 38270/ 41007 | consumed samples: 9797120 | consumed tokens: 20064501760 | elapsed time per iteration (s): 0.76 | learning rate: 2.201E-05 | global batch size: 256 | lm loss: 2.156495E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.509 | TFLOPs: 46.36 | 7: iteration 38280/ 41007 | consumed samples: 9799680 | consumed tokens: 20069744640 | elapsed time per iteration (s): 0.76 | learning rate: 2.200E-05 | global batch size: 256 | lm loss: 2.138378E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.865 | TFLOPs: 46.27 | 7: iteration 38290/ 41007 | consumed samples: 9802240 | consumed tokens: 20074987520 | elapsed time per iteration (s): 0.76 | learning rate: 2.198E-05 | global batch size: 256 | lm loss: 2.150232E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.601 | TFLOPs: 46.37 | 7: iteration 38300/ 41007 | consumed samples: 9804800 | consumed tokens: 20080230400 | elapsed time per iteration (s): 0.76 | learning rate: 2.197E-05 | global batch size: 256 | lm loss: 2.137518E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.151 | TFLOPs: 46.31 | 7: iteration 38310/ 41007 | consumed samples: 9807360 | consumed tokens: 20085473280 | elapsed time per iteration (s): 0.76 | learning rate: 2.195E-05 | global batch size: 256 | lm loss: 2.156193E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.664 | TFLOPs: 45.97 | 7: iteration 38320/ 41007 | consumed samples: 9809920 | consumed tokens: 20090716160 | elapsed time per iteration (s): 0.75 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.134284E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.028 | TFLOPs: 46.71 | 7: iteration 38330/ 41007 | consumed samples: 9812480 | consumed tokens: 20095959040 | elapsed time per iteration (s): 0.77 | learning rate: 2.193E-05 | global batch size: 256 | lm loss: 2.105547E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.811 | TFLOPs: 45.44 | 7: iteration 38340/ 41007 | consumed samples: 9815040 | consumed tokens: 20101201920 | elapsed time per iteration (s): 0.76 | learning rate: 2.191E-05 | global batch size: 256 | lm loss: 2.139531E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.113 | TFLOPs: 46.44 | 7: iteration 38350/ 41007 | consumed samples: 9817600 | consumed tokens: 20106444800 | elapsed time per iteration (s): 0.76 | learning rate: 2.190E-05 | global batch size: 256 | lm loss: 2.157860E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.611 | TFLOPs: 46.51 | 7: iteration 38360/ 41007 | consumed samples: 9820160 | consumed tokens: 20111687680 | elapsed time per iteration (s): 0.76 | learning rate: 2.188E-05 | global batch size: 256 | lm loss: 2.137889E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.502 | TFLOPs: 46.36 | 7: iteration 38370/ 41007 | consumed samples: 9822720 | consumed tokens: 20116930560 | elapsed time per iteration (s): 0.76 | learning rate: 2.187E-05 | global batch size: 256 | lm loss: 2.126430E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.969 | TFLOPs: 46.15 | 7: iteration 38380/ 41007 | consumed samples: 9825280 | consumed tokens: 20122173440 | elapsed time per iteration (s): 0.76 | learning rate: 2.185E-05 | global batch size: 256 | lm loss: 2.153537E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.901 | TFLOPs: 46.00 | 7: iteration 38390/ 41007 | consumed samples: 9827840 | consumed tokens: 20127416320 | elapsed time per iteration (s): 0.75 | learning rate: 2.184E-05 | global batch size: 256 | lm loss: 2.155330E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.251 | TFLOPs: 46.74 | 7: iteration 38400/ 41007 | consumed samples: 9830400 | consumed tokens: 20132659200 | elapsed time per iteration (s): 0.76 | learning rate: 2.183E-05 | global batch size: 256 | lm loss: 2.146547E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.061 | TFLOPs: 46.44 | 7: iteration 38410/ 41007 | consumed samples: 9832960 | consumed tokens: 20137902080 | elapsed time per iteration (s): 0.76 | learning rate: 2.181E-05 | global batch size: 256 | lm loss: 2.136929E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.481 | TFLOPs: 46.36 | 7: iteration 38420/ 41007 | consumed samples: 9835520 | consumed tokens: 20143144960 | elapsed time per iteration (s): 0.76 | learning rate: 2.180E-05 | global batch size: 256 | lm loss: 2.170219E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.355 | TFLOPs: 46.06 | 7: iteration 38430/ 41007 | consumed samples: 9838080 | consumed tokens: 20148387840 | elapsed time per iteration (s): 0.75 | learning rate: 2.178E-05 | global batch size: 256 | lm loss: 2.141526E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.265 | TFLOPs: 46.74 | 7: iteration 38440/ 41007 | consumed samples: 9840640 | consumed tokens: 20153630720 | elapsed time per iteration (s): 0.77 | learning rate: 2.177E-05 | global batch size: 256 | lm loss: 2.152062E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.940 | TFLOPs: 45.87 | 7: iteration 38450/ 41007 | consumed samples: 9843200 | consumed tokens: 20158873600 | elapsed time per iteration (s): 0.76 | learning rate: 2.176E-05 | global batch size: 256 | lm loss: 2.150566E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.958 | TFLOPs: 46.56 | 7: iteration 38460/ 41007 | consumed samples: 9845760 | consumed tokens: 20164116480 | elapsed time per iteration (s): 0.77 | learning rate: 2.174E-05 | global batch size: 256 | lm loss: 2.131476E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.216 | TFLOPs: 45.91 | 7: iteration 38470/ 41007 | consumed samples: 9848320 | consumed tokens: 20169359360 | elapsed time per iteration (s): 0.76 | learning rate: 2.173E-05 | global batch size: 256 | lm loss: 2.113752E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.204 | TFLOPs: 46.18 | 7: iteration 38480/ 41007 | consumed samples: 9850880 | consumed tokens: 20174602240 | elapsed time per iteration (s): 0.76 | learning rate: 2.172E-05 | global batch size: 256 | lm loss: 2.153835E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.888 | TFLOPs: 46.55 | 7: iteration 38490/ 41007 | consumed samples: 9853440 | consumed tokens: 20179845120 | elapsed time per iteration (s): 0.76 | learning rate: 2.170E-05 | global batch size: 256 | lm loss: 2.146288E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.571 | TFLOPs: 46.09 | 7: iteration 38500/ 41007 | consumed samples: 9856000 | consumed tokens: 20185088000 | elapsed time per iteration (s): 0.76 | learning rate: 2.169E-05 | global batch size: 256 | lm loss: 2.149508E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.947 | TFLOPs: 46.28 | 7: iteration 38510/ 41007 | consumed samples: 9858560 | consumed tokens: 20190330880 | elapsed time per iteration (s): 0.77 | learning rate: 2.168E-05 | global batch size: 256 | lm loss: 2.147153E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.263 | TFLOPs: 45.78 | 7: 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iterations: 0 | number of nan iterations: 0 | samples per second: 335.670 | TFLOPs: 46.11 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 39000 | lm loss value: 2.066969E+00 | lm loss PPL: 7.900842E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 39000 to checkpoints_619m22b 0: [2022-11-28 21:19:11,019] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step39000 is begin to save! 0: [2022-11-28 21:19:11,025] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step39000/layer_01-model_00-model_states.pt... 0: [2022-11-28 21:19:11,196] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step39000/layer_01-model_00-model_states.pt. 0: [2022-11-28 21:19:11,197] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[2022-11-28 21:19:12,500] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step39000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-28 21:19:12,500] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step39000 is ready now! 2: [2022-11-28 21:19:12,500] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step39000 is ready now! 2: [2022-11-28 21:19:12,500] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step39000 is ready now! 2: [2022-11-28 21:19:12,500] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step39000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-28 21:19:12,500] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step39000 is ready now! 2: [2022-11-28 21:19:12,501] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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tokens: 20457717760 | elapsed time per iteration (s): 0.76 | learning rate: 2.106E-05 | global batch size: 256 | lm loss: 2.169036E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.807 | TFLOPs: 45.99 | 7: iteration 39030/ 41007 | consumed samples: 9991680 | consumed tokens: 20462960640 | elapsed time per iteration (s): 0.76 | learning rate: 2.105E-05 | global batch size: 256 | lm loss: 2.108831E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.689 | TFLOPs: 46.11 | 7: iteration 39040/ 41007 | consumed samples: 9994240 | consumed tokens: 20468203520 | elapsed time per iteration (s): 0.75 | learning rate: 2.104E-05 | global batch size: 256 | lm loss: 2.156829E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.366 | TFLOPs: 46.61 | 7: iteration 39050/ 41007 | consumed samples: 9996800 | consumed tokens: 20473446400 | elapsed time per iteration (s): 0.76 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.131097E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.808 | TFLOPs: 46.26 | 7: iteration 39060/ 41007 | consumed samples: 9999360 | consumed tokens: 20478689280 | elapsed time per iteration (s): 0.76 | learning rate: 2.102E-05 | global batch size: 256 | lm loss: 2.150066E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.774 | TFLOPs: 46.12 | 7: iteration 39070/ 41007 | consumed samples: 10001920 | consumed tokens: 20483932160 | elapsed time per iteration (s): 0.76 | learning rate: 2.101E-05 | global batch size: 256 | lm loss: 2.107819E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 332.277 | TFLOPs: 45.64 | 7: iteration 39110/ 41007 | consumed samples: 10012160 | consumed tokens: 20504903680 | elapsed time per iteration (s): 0.76 | learning rate: 2.097E-05 | global batch size: 256 | lm loss: 2.123091E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.280 | TFLOPs: 46.19 | 7: iteration 39120/ 41007 | consumed samples: 10014720 | consumed tokens: 20510146560 | elapsed time per iteration (s): 0.93 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.153868E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.525 | TFLOPs: 37.85 | 7: iteration 39130/ 41007 | consumed samples: 10017280 | consumed tokens: 20515389440 | elapsed time per iteration (s): 0.77 | learning rate: 2.095E-05 | global batch size: 256 | lm loss: 2.148825E+00 | grad norm: 0.191 | num 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lm loss: 2.132050E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.533 | TFLOPs: 46.64 | 7: iteration 39170/ 41007 | consumed samples: 10027520 | consumed tokens: 20536360960 | elapsed time per iteration (s): 0.76 | learning rate: 2.091E-05 | global batch size: 256 | lm loss: 2.147888E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.527 | TFLOPs: 46.09 | 7: iteration 39180/ 41007 | consumed samples: 10030080 | consumed tokens: 20541603840 | elapsed time per iteration (s): 0.95 | learning rate: 2.090E-05 | global batch size: 256 | lm loss: 2.158856E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.321 | TFLOPs: 36.86 | 7: iteration 39190/ 41007 | consumed samples: 10032640 | consumed tokens: 20546846720 | elapsed time per iteration (s): 0.77 | learning rate: 2.089E-05 | global batch size: 256 | lm loss: 2.124139E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.724 | TFLOPs: 45.43 | 7: iteration 39200/ 41007 | consumed samples: 10035200 | consumed tokens: 20552089600 | elapsed time per iteration (s): 0.77 | learning rate: 2.088E-05 | global batch size: 256 | lm loss: 2.137676E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.685 | TFLOPs: 45.83 | 7: iteration 39210/ 41007 | consumed samples: 10037760 | consumed tokens: 20557332480 | elapsed time per iteration (s): 0.76 | learning rate: 2.087E-05 | global batch size: 256 | lm loss: 2.126221E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.201 | TFLOPs: 46.18 | 7: iteration 39220/ 41007 | consumed samples: 10040320 | consumed tokens: 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| TFLOPs: 46.37 | 7: iteration 39280/ 41007 | consumed samples: 10055680 | consumed tokens: 20594032640 | elapsed time per iteration (s): 0.76 | learning rate: 2.080E-05 | global batch size: 256 | lm loss: 2.150210E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.938 | TFLOPs: 46.28 | 7: iteration 39290/ 41007 | consumed samples: 10058240 | consumed tokens: 20599275520 | elapsed time per iteration (s): 0.76 | learning rate: 2.079E-05 | global batch size: 256 | lm loss: 2.145749E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.195 | TFLOPs: 46.04 | 7: iteration 39300/ 41007 | consumed samples: 10060800 | consumed tokens: 20604518400 | elapsed time per iteration (s): 0.76 | learning rate: 2.078E-05 | global batch size: 256 | lm loss: 2.163844E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of 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norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.358 | TFLOPs: 45.24 | 7: iteration 39570/ 41007 | consumed samples: 10129920 | consumed tokens: 20746076160 | elapsed time per iteration (s): 0.76 | learning rate: 2.056E-05 | global batch size: 256 | lm loss: 2.129365E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.712 | TFLOPs: 46.39 | 7: iteration 39580/ 41007 | consumed samples: 10132480 | consumed tokens: 20751319040 | elapsed time per iteration (s): 0.75 | learning rate: 2.055E-05 | global batch size: 256 | lm loss: 2.135702E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.185 | TFLOPs: 46.59 | 7: iteration 39590/ 41007 | consumed samples: 10135040 | consumed tokens: 20756561920 | elapsed time per iteration (s): 0.78 | learning rate: 2.054E-05 | global 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41007 | consumed samples: 10158080 | consumed tokens: 20803747840 | elapsed time per iteration (s): 0.78 | learning rate: 2.047E-05 | global batch size: 256 | lm loss: 2.127207E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.214 | TFLOPs: 45.08 | 7: iteration 39690/ 41007 | consumed samples: 10160640 | consumed tokens: 20808990720 | elapsed time per iteration (s): 0.77 | learning rate: 2.047E-05 | global batch size: 256 | lm loss: 2.124987E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.347 | TFLOPs: 45.65 | 7: iteration 39700/ 41007 | consumed samples: 10163200 | consumed tokens: 20814233600 | elapsed time per iteration (s): 0.76 | learning rate: 2.046E-05 | global batch size: 256 | lm loss: 2.167683E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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lm loss: 2.157800E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.528 | TFLOPs: 46.22 | 7: iteration 39800/ 41007 | consumed samples: 10188800 | consumed tokens: 20866662400 | elapsed time per iteration (s): 0.77 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.129890E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.769 | TFLOPs: 45.57 | 7: iteration 39810/ 41007 | consumed samples: 10191360 | consumed tokens: 20871905280 | elapsed time per iteration (s): 0.78 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.141767E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.979 | TFLOPs: 45.05 | 7: iteration 39820/ 41007 | consumed samples: 10193920 | consumed tokens: 20877148160 | elapsed time per iteration (s): 0.76 | learning rate: 2.038E-05 | global batch size: 256 | lm loss: 2.129086E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.817 | TFLOPs: 45.99 | 7: iteration 39830/ 41007 | consumed samples: 10196480 | consumed tokens: 20882391040 | elapsed time per iteration (s): 0.76 | learning rate: 2.037E-05 | global batch size: 256 | lm loss: 2.136790E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.385 | TFLOPs: 46.21 | 7: iteration 39840/ 41007 | consumed samples: 10199040 | consumed tokens: 20887633920 | elapsed time per iteration (s): 0.76 | learning rate: 2.037E-05 | global batch size: 256 | lm loss: 2.158243E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.306 | TFLOPs: 46.33 | 7: iteration 39850/ 41007 | consumed samples: 10201600 | consumed tokens: 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consumed samples: 10209280 | consumed tokens: 20908605440 | elapsed time per iteration (s): 0.77 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.144971E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.355 | TFLOPs: 45.51 | 7: iteration 39890/ 41007 | consumed samples: 10211840 | consumed tokens: 20913848320 | elapsed time per iteration (s): 0.77 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.107931E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.346 | TFLOPs: 45.65 | 7: iteration 39900/ 41007 | consumed samples: 10214400 | consumed tokens: 20919091200 | elapsed time per iteration (s): 0.77 | learning rate: 2.033E-05 | global batch size: 256 | lm loss: 2.112139E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.273 | TFLOPs: 45.92 | 7: iteration 39910/ 41007 | consumed samples: 10216960 | consumed tokens: 20924334080 | elapsed time per iteration (s): 0.78 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.126012E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.819 | TFLOPs: 45.30 | 7: iteration 39920/ 41007 | consumed samples: 10219520 | consumed tokens: 20929576960 | elapsed time per iteration (s): 0.76 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.153455E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.913 | TFLOPs: 46.28 | 7: iteration 39930/ 41007 | consumed samples: 10222080 | consumed tokens: 20934819840 | elapsed time per iteration (s): 0.75 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.155907E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.411 | TFLOPs: 46.62 | 7: iteration 39940/ 41007 | consumed samples: 10224640 | consumed tokens: 20940062720 | elapsed time per iteration (s): 0.78 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.116557E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.400 | TFLOPs: 45.25 | 7: iteration 39950/ 41007 | consumed samples: 10227200 | consumed tokens: 20945305600 | elapsed time per iteration (s): 0.77 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.138532E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.538 | TFLOPs: 45.54 | 7: iteration 39960/ 41007 | consumed samples: 10229760 | consumed tokens: 20950548480 | elapsed time per iteration (s): 0.77 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.127283E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.615 | TFLOPs: 45.55 | 7: iteration 39970/ 41007 | consumed samples: 10232320 | consumed tokens: 20955791360 | elapsed time per iteration (s): 0.76 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 2.115499E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.380 | TFLOPs: 46.20 | 7: iteration 39980/ 41007 | consumed samples: 10234880 | consumed tokens: 20961034240 | elapsed time per iteration (s): 0.76 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.123237E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.043 | TFLOPs: 46.16 | 7: iteration 39990/ 41007 | consumed samples: 10237440 | consumed tokens: 20966277120 | elapsed time per iteration (s): 0.76 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.169332E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.704 | TFLOPs: 46.52 | 0: [2022-11-28 21:32:01,830] [INFO] [logging.py:68:log_dist] [Rank 0] step=40000, skipped=0, lr=[2.0273654267409592e-05, 2.0273654267409592e-05, 2.0273654267409592e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 40000/ 41007 | consumed samples: 10240000 | consumed tokens: 20971520000 | elapsed time per iteration (s): 0.75 | learning rate: 2.027E-05 | global batch size: 256 | lm loss: 2.130325E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.140 | TFLOPs: 46.58 | 0: steps: 40000 loss: 2.0506 iter time (s): 0.764 samples/sec: 335.037 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 40000 | lm loss value: 2.063204E+00 | lm loss PPL: 7.871147E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 40000 to checkpoints_619m22b 0: [2022-11-28 21:32:02,139] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step40000 is begin to save! 0: [2022-11-28 21:32:02,185] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step40000/layer_01-model_00-model_states.pt... 0: [2022-11-28 21:32:02,535] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/layer_01-model_00-model_states.pt. 0: [2022-11-28 21:32:02,536] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step40000/layer_03-model_00-model_states.pt... 0: [2022-11-28 21:32:02,617] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/layer_03-model_00-model_states.pt. 0: [2022-11-28 21:32:02,617] [INFO] [torch_checkpoint_engine.py:15:save] 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21:32:04,365] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,449] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,449] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,449] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,450] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,450] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,464] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,464] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,464] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,465] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,465] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,465] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,466] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,466] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 7: [2022-11-28 21:32:04,471] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-28 21:32:04,471] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_619m22b/global_step40000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-28 21:32:04,471] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step40000 is ready now! 0: successfully saved checkpoint at iteration 40000 to checkpoints_619m22b 7: time (ms) | save-checkpoint: 2367.83 7: iteration 40010/ 41007 | consumed samples: 10242560 | consumed tokens: 20976762880 | elapsed time per iteration (s): 1.04 | learning rate: 2.027E-05 | global batch size: 256 | lm loss: 2.166840E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 246.895 | TFLOPs: 33.91 | 7: iteration 40020/ 41007 | consumed samples: 10245120 | consumed tokens: 20982005760 | elapsed time per iteration (s): 0.75 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.164300E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.403 | TFLOPs: 46.76 | 7: iteration 40030/ 41007 | consumed samples: 10247680 | consumed tokens: 20987248640 | elapsed time per iteration (s): 0.76 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.161547E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.282 | TFLOPs: 46.19 | 7: iteration 40040/ 41007 | consumed samples: 10250240 | consumed tokens: 20992491520 | elapsed time per iteration (s): 0.76 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 2.142622E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.494 | TFLOPs: 46.08 | 7: iteration 40050/ 41007 | consumed samples: 10252800 | consumed tokens: 20997734400 | elapsed time per iteration (s): 0.75 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 2.153205E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.385 | TFLOPs: 46.75 | 7: iteration 40060/ 41007 | consumed samples: 10255360 | consumed tokens: 21002977280 | elapsed time per iteration (s): 0.78 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.137889E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.217 | TFLOPs: 45.08 | 7: iteration 40070/ 41007 | consumed samples: 10257920 | consumed tokens: 21008220160 | elapsed time per iteration (s): 0.77 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.130704E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.142 | TFLOPs: 45.62 | 7: iteration 40080/ 41007 | consumed samples: 10260480 | consumed tokens: 21013463040 | elapsed time per iteration (s): 0.77 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.118933E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.508 | TFLOPs: 45.54 | 7: iteration 40090/ 41007 | consumed samples: 10263040 | consumed tokens: 21018705920 | elapsed time per iteration (s): 0.76 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.179496E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.708 | TFLOPs: 45.97 | 7: iteration 40100/ 41007 | consumed samples: 10265600 | consumed tokens: 21023948800 | elapsed time per iteration (s): 0.79 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.125389E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.453 | TFLOPs: 44.57 | 7: iteration 40110/ 41007 | consumed samples: 10268160 | consumed tokens: 21029191680 | elapsed time per iteration (s): 0.76 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.152431E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.347 | TFLOPs: 46.06 | 7: iteration 40120/ 41007 | consumed samples: 10270720 | consumed tokens: 21034434560 | elapsed time per iteration (s): 0.90 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 2.131652E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.708 | TFLOPs: 39.24 | 7: iteration 40130/ 41007 | consumed samples: 10273280 | consumed tokens: 21039677440 | elapsed time per iteration (s): 0.76 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 2.127961E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.248 | TFLOPs: 46.05 | 7: iteration 40140/ 41007 | consumed samples: 10275840 | consumed tokens: 21044920320 | elapsed time per iteration (s): 0.93 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.120793E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 276.560 | TFLOPs: 37.99 | 7: iteration 40150/ 41007 | consumed samples: 10278400 | consumed tokens: 21050163200 | elapsed time per iteration (s): 0.90 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.128745E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.831 | TFLOPs: 39.12 | 7: iteration 40160/ 41007 | consumed samples: 10280960 | consumed tokens: 21055406080 | elapsed time per iteration (s): 0.76 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.126118E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.256 | TFLOPs: 46.32 | 7: iteration 40170/ 41007 | consumed samples: 10283520 | consumed tokens: 21060648960 | elapsed time per iteration (s): 1.01 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.122525E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 252.722 | TFLOPs: 34.71 | 7: iteration 40180/ 41007 | consumed samples: 10286080 | consumed tokens: 21065891840 | elapsed time per iteration (s): 0.77 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.160400E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.305 | TFLOPs: 45.78 | 7: iteration 40190/ 41007 | consumed samples: 10288640 | consumed tokens: 21071134720 | elapsed time per iteration (s): 0.77 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.135503E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.936 | TFLOPs: 45.87 | 7: iteration 40200/ 41007 | consumed samples: 10291200 | consumed tokens: 21076377600 | elapsed time per iteration (s): 0.78 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.150314E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.721 | TFLOPs: 45.02 | 7: iteration 40210/ 41007 | consumed samples: 10293760 | consumed tokens: 21081620480 | elapsed time per iteration (s): 0.76 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.169605E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.477 | TFLOPs: 46.49 | 7: iteration 40220/ 41007 | consumed samples: 10296320 | consumed tokens: 21086863360 | elapsed time per iteration (s): 0.77 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.123185E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.951 | TFLOPs: 45.73 | 7: iteration 40230/ 41007 | consumed samples: 10298880 | consumed tokens: 21092106240 | elapsed time per iteration (s): 0.76 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.116940E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.933 | TFLOPs: 46.01 | 7: iteration 40240/ 41007 | consumed samples: 10301440 | consumed tokens: 21097349120 | elapsed time per iteration (s): 0.78 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.145777E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.323 | TFLOPs: 44.96 | 7: iteration 40250/ 41007 | consumed samples: 10304000 | consumed tokens: 21102592000 | elapsed time per iteration (s): 0.75 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.158574E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.784 | TFLOPs: 47.08 | 7: iteration 40260/ 41007 | consumed samples: 10306560 | consumed tokens: 21107834880 | elapsed time per iteration (s): 0.76 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.125610E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.844 | TFLOPs: 45.99 | 7: iteration 40270/ 41007 | consumed samples: 10309120 | consumed tokens: 21113077760 | elapsed time per iteration (s): 0.79 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.132910E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.020 | TFLOPs: 44.64 | 7: iteration 40280/ 41007 | consumed samples: 10311680 | consumed tokens: 21118320640 | elapsed time per iteration (s): 0.76 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.133692E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.874 | TFLOPs: 46.27 | 7: iteration 40290/ 41007 | consumed samples: 10314240 | consumed tokens: 21123563520 | elapsed time per iteration (s): 0.77 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.141313E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.946 | TFLOPs: 45.87 | 7: iteration 40300/ 41007 | consumed samples: 10316800 | consumed tokens: 21128806400 | elapsed time per iteration (s): 0.76 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.136534E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.705 | TFLOPs: 46.39 | 7: iteration 40310/ 41007 | consumed samples: 10319360 | consumed tokens: 21134049280 | elapsed time per iteration (s): 0.76 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.144299E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 338.010 | TFLOPs: 46.43 | 7: iteration 40350/ 41007 | consumed samples: 10329600 | consumed tokens: 21155020800 | elapsed time per iteration (s): 0.77 | learning rate: 2.012E-05 | global batch size: 256 | lm loss: 2.131984E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.733 | TFLOPs: 45.70 | 7: iteration 40360/ 41007 | consumed samples: 10332160 | consumed tokens: 21160263680 | elapsed time per iteration (s): 0.75 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.141616E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.032 | TFLOPs: 46.71 | 7: iteration 40370/ 41007 | consumed samples: 10334720 | consumed tokens: 21165506560 | elapsed time per iteration (s): 0.77 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.149982E+00 | grad norm: 0.198 | num 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lm loss: 2.141632E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.987 | TFLOPs: 45.74 | 7: iteration 40410/ 41007 | consumed samples: 10344960 | consumed tokens: 21186478080 | elapsed time per iteration (s): 0.76 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.143089E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.520 | TFLOPs: 46.09 | 7: iteration 40420/ 41007 | consumed samples: 10347520 | consumed tokens: 21191720960 | elapsed time per iteration (s): 0.77 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.153736E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.552 | TFLOPs: 45.40 | 7: iteration 40430/ 41007 | consumed samples: 10350080 | consumed tokens: 21196963840 | elapsed time per iteration (s): 0.76 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.156456E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.848 | TFLOPs: 46.54 | 7: iteration 40440/ 41007 | consumed samples: 10352640 | consumed tokens: 21202206720 | elapsed time per iteration (s): 0.77 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.133109E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.962 | TFLOPs: 45.74 | 7: iteration 40450/ 41007 | consumed samples: 10355200 | consumed tokens: 21207449600 | elapsed time per iteration (s): 0.77 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.095633E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.532 | TFLOPs: 45.68 | 7: iteration 40460/ 41007 | consumed samples: 10357760 | consumed tokens: 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41007 | consumed samples: 10475520 | consumed tokens: 21453864960 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.162687E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.452 | TFLOPs: 45.80 | 7: iteration 40930/ 41007 | consumed samples: 10478080 | consumed tokens: 21459107840 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.133654E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.695 | TFLOPs: 45.97 | 7: iteration 40940/ 41007 | consumed samples: 10480640 | consumed tokens: 21464350720 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.144085E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.995 | TFLOPs: 46.01 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 41000 | lm loss value: 2.041228E+00 | lm loss PPL: 7.700056E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 41000 to checkpoints_619m22b 0: [2022-11-28 21:44:58,498] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step41000 is begin to save! 0: [2022-11-28 21:44:58,502] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_619m22b/global_step41000/layer_01-model_00-model_states.pt... 0: [2022-11-28 21:44:58,698] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_619m22b/global_step41000/layer_01-model_00-model_states.pt. 0: [2022-11-28 21:44:58,698] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] 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8.070867E+00 | 7: ------------------------------------------------------------------------------------------------------------ END 2077147: Mon Nov 28 21:45:19 EET 2022