Model parameters: d_model 1024 ffw_size 4096 kv_size 64 n_heads 16 n_layers 18 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 18 --hidden-size 1024 --num-attention-heads 16 --kv-channels 64 --ffn-hidden-size 4096 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 2_884_878 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-280mcpu --bf16 --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 2_884_878 --lr-warmup-samples 28_849 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_280mcpu --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_280mcpu --load checkpoints_280mcpu --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/2073130.json --zero-stage 0 START 2073130: Fri Nov 25 20:58:11 EET 2022 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 46.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 38.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 42.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 41.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 40.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 38.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 54.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 39.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 41.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 41.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 34.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 38.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 42.0c 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 49.0c 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 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 40.0c 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 ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 40.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 35.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 43.0c 92.0W 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 ============================== 4: Launching on nid005018 (4/8), master nid005014 port 9999, GPUs 8, CUDA: True 0: Launching on nid005014 (0/8), master nid005014 port 9999, GPUs 8, CUDA: True 1: Launching on nid005015 (1/8), master nid005014 port 9999, GPUs 8, CUDA: True 5: Launching on nid005019 (5/8), master nid005014 port 9999, GPUs 8, CUDA: True 2: Launching on nid005016 (2/8), master nid005014 port 9999, GPUs 8, CUDA: True 6: Launching on nid005020 (6/8), master nid005014 port 9999, GPUs 8, CUDA: True 7: Launching on nid005021 (7/8), master nid005014 port 9999, GPUs 8, CUDA: True 3: Launching on nid005017 (3/8), master nid005014 port 9999, GPUs 8, CUDA: True 0: using world size: 64, data-parallel-size: 64, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... False 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 64 0: data_path ....................................... ['/scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document'] 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/2073130.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 1000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 4096 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 1024 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-280mcpu 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_280mcpu 0: local_rank ...................................... None 0: log_batch_size_to_tensorboard ................... True 0: log_interval .................................... 10 0: log_learning_rate_to_tensorboard ................ True 0: log_level ....................................... None 0: log_level_replica ............................... None 0: log_loss_scale_to_tensorboard ................... True 0: log_num_zeros_in_grad ........................... False 0: log_params_norm ................................. False 0: log_path ........................................ None 0: log_timers_to_tensorboard ....................... True 0: log_validation_ppl_to_tensorboard ............... True 0: loss_on_targets_only ............................ False 0: loss_scale ...................................... None 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 2884878 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 28849 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 4 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 16 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 18 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: retriever_report_topk_accuracies ................ [] 0: retriever_score_scaling ......................... False 0: retriever_seq_length ............................ 256 0: reweight_loss_based_on_position_frequency ....... False 0: sample_rate ..................................... 1.0 0: save ............................................ checkpoints_280mcpu 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_280mcpu 0: tensorboard_log_interval ........................ 1 0: tensorboard_queue_size .......................... 5 0: test_weighted_split_names ....................... None 0: test_weighted_split_paths ....................... None 0: test_weighted_split_paths_path .................. None 0: test_weighted_split_splits ...................... None 0: test_weighted_split_weights ..................... None 0: tile_factor ..................................... 1 0: titles_data_path ................................ None 0: tokenizer_name_or_path .......................... None 0: tokenizer_type .................................. GPT2BPETokenizer 0: train_iters ..................................... None 0: train_samples ................................... 2884878 0: train_tokens .................................... None 0: train_weighted_split_paths ...................... None 0: train_weighted_split_paths_path ................. None 0: universal_checkpoint ............................ False 0: use_bnb_optimizer ............................... False 0: use_checkpoint_lr_scheduler ..................... False 0: use_contiguous_buffers_in_ddp ................... True 0: use_cpu_initialization .......................... None 0: use_one_sent_docs ............................... False 0: use_pin_memory .................................. False 0: valid_num_workers ............................... 2 0: valid_weighted_split_names ...................... None 0: valid_weighted_split_paths ...................... None 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... None 0: valid_weighted_split_weights .................... None 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 64 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2022-11-25 21:00:00,697] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 7: > setting tensorboard ... 0: > initializing tensor model parallel with size 1 0: > initializing pipeline model parallel with size 1 0: > setting random seeds to 1234 ... 0: > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234 0: > compiling dataset index builder ... 0: make: Entering directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: make: Nothing to be done for 'default'. 0: make: Leaving directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: >>> done with dataset index builder. Compilation time: 0.100 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.cuda.o scaled_upper_triang_masked_softmax_hip.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: 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: [1/1] c++ layer_norm_cuda.o layer_norm_hip_kernel.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o fused_mix_prec_layer_norm_cuda.so 0: >>> done with compiling and loading fused kernels. Compilation time: 18.474 seconds 0: time to initialize megatron (seconds): 72.872 0: [after megatron is initialized] datetime: 2022-11-25 21:00:24 0: building GPT model ... 0: [2022-11-25 21:00:24,924] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-25 21:00:24,925] [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: [2022-11-25 21:00:24,925] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 28.69 GB, percent = 5.7% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63} 0: [2022-11-25 21:00:26,968] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=25 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: undo 0: 22: MixedFusedLayerNorm 0: 23: EmbeddingPipe 0: 24: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-25 21:00:27,324] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-25 21:00:27,324] [INFO] [utils.py:828:see_memory_usage] MA 0.53 GB Max_MA 0.53 GB CA 0.57 GB Max_CA 1 GB 0: [2022-11-25 21:00:27,324] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 28.7 GB, percent = 5.7% 0: setting training iterations to 11269 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-25 21:00:27,326] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-25 21:00:39,633] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-25 21:00:39,633] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-25 21:00:39,634] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-25 21:00:39,640] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-25 21:00:39,640] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-25 21:00:39,682] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-25 21:00:39,682] [INFO] [utils.py:828:see_memory_usage] MA 0.52 GB Max_MA 0.53 GB CA 0.57 GB Max_CA 1 GB 0: [2022-11-25 21:00:39,682] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.39 GB, percent = 5.8% 7: ninja: no work to do. 4: Time to load utils op: 0.12787389755249023 seconds 4: Time to load utils op: 0.1277017593383789 seconds 4: Time to load utils op: 0.12670469284057617 seconds 4: Time 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seconds 0: Time to load utils op: 0.12619233131408691 seconds 0: Time to load utils op: 0.22086358070373535 seconds 2: Time to load utils op: 0.12590742111206055 seconds 2: Time to load utils op: 0.12591791152954102 seconds 2: Time to load utils op: 0.12592124938964844 seconds 2: Time to load utils op: 0.12594079971313477 seconds 2: Time to load utils op: 0.12594866752624512 secondsTime to load utils op: 0.12594175338745117 seconds 2: 2: Time to load utils op: 0.12595605850219727 seconds 2: Time to load utils op: 0.1259784698486328 seconds 7: Time to load utils op: 0.1250014305114746 seconds 7: Time to load utils op: 0.12475419044494629 seconds 7: Time to load utils op: 0.1255025863647461 seconds 7: Time to load utils op: 0.12422323226928711 secondsTime to load utils op: 0.12479662895202637 secondsTime to load utils op: 0.12410593032836914 secondsTime to load utils op: 0.25661444664001465 seconds 7: 7: 7: 7: Time to load utils op: 0.12424182891845703 seconds 1: Time to load utils op: 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op: 0.0005750656127929688 seconds 7: 0: [2022-11-25 21:00:40,040] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 7: Time to load utils op: 0.000576019287109375 secondsTime to load utils op: 0.0005605220794677734 seconds 7: 7: Time to load utils op: 0.00046825408935546875 seconds 7: Time to load utils op: 0.0003666877746582031 seconds 0: [2022-11-25 21:00:40,041] [INFO] [utils.py:828:see_memory_usage] MA 1.14 GB Max_MA 1.14 GB CA 1.48 GB Max_CA 1 GB 0: [2022-11-25 21:00:40,041] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.47 GB, percent = 5.9% 3: Time to load utils op: 0.0009167194366455078 seconds 3: Time to load utils op: 0.0009515285491943359 seconds 3: Time to load utils op: 0.0011570453643798828 seconds 3: Time to load utils op: 0.001344442367553711 seconds 3: Time to load utils op: 0.0013265609741210938 seconds 3: Time to load utils op: 0.0013623237609863281 seconds 3: Time to load utils op: 0.001325845718383789 seconds 3: Time to load utils op: 0.0013806819915771484 seconds 5: Time to load utils op: 0.0004031658172607422 seconds 5: Time to load utils op: 0.0004138946533203125 seconds 5: Time to load utils op: 0.0005154609680175781 seconds 5: Time to load utils op: 0.000518798828125 secondsTime to load utils op: 0.0004265308380126953 seconds 5: 5: Time to load utils op: 0.00040721893310546875 seconds 5: Time to load utils op: 0.0005164146423339844 seconds 0: [2022-11-25 21:00:40,088] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-25 21:00:40,089] [INFO] [utils.py:828:see_memory_usage] MA 1.14 GB Max_MA 1.14 GB CA 1.48 GB Max_CA 1 GB 0: [2022-11-25 21:00:40,089] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.54 GB, percent = 5.9% 0: [2022-11-25 21:00:40,128] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-25 21:00:40,129] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-25 21:00:40,129] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.54 GB, percent = 5.9% 0: [2022-11-25 21:00:40,162] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-25 21:00:40,162] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-25 21:00:40,163] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.54 GB, percent = 5.9% 0: [2022-11-25 21:00:40,197] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-25 21:00:40,198] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-25 21:00:40,198] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.54 GB, percent = 5.9% 0: [2022-11-25 21:00:40,229] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-25 21:00:40,229] [INFO] [utils.py:828:see_memory_usage] MA 1.58 GB Max_MA 1.58 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-25 21:00:40,230] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.54 GB, percent = 5.9% 0: [2022-11-25 21:00:40,266] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-25 21:00:40,266] [INFO] [utils.py:828:see_memory_usage] MA 1.62 GB Max_MA 1.62 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-25 21:00:40,266] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.54 GB, percent = 5.9% 0: [2022-11-25 21:00:40,298] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-25 21:00:40,299] [INFO] [utils.py:828:see_memory_usage] MA 1.62 GB Max_MA 1.62 GB CA 2.14 GB Max_CA 2 GB 0: [2022-11-25 21:00:40,299] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.54 GB, percent = 5.9% 0: [2022-11-25 21:00:40,299] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-25 21:00:40,299] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-25 21:00:40,299] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-25 21:00:40,299] [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: [2022-11-25 21:00:40,300] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-25 21:00:40,300] [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: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-25 21:00:40,300] [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: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-25 21:00:40,300] [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: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-25 21:00:40,300] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-25 21:00:40,301] [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: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-25 21:00:40,301] [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: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-25 21:00:40,301] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-25 21:00:40,302] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-25 21:00:40,302] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-25 21:00:40,302] [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: [2022-11-25 21:00:40,302] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-25 21:00:40,302] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-25 21:00:40,302] [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: 0.00041604042053222656 seconds 0: [2022-11-25 21:00:40,302] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-25 21:00:40,354] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=25 [0, 25) STAGE_PARAMS=280342528 (280.343M) TOTAL_PARAMS=280342528 (280.343M) UNIQUE_PARAMS=280342528 (280.343M) 0: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/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_280mcpu 0: will not load any checkpoints and will start from random 0: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,360] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-25 21:00:40,361] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_280mcpu/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: time (ms) | load-checkpoint: 6.30 0: estimated model parameters: 0.280342528 0: estimated model parameters without embeddings: 0.22673408 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-25 21:00:41 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 2884878 0: validation: 3072 0: test: 256 0: > building train, validation, and test datasets for GPT ... 0: > building dataset index ... 0: reading sizes... 0: reading pointers... 0: reading document index... 0: creating numpy buffer of mmap... 0: creating memory view of numpy buffer... 0: > finished creating indexed dataset in 0.006239 seconds 0: number of documents: 210604984 0: > dataset split: 0: train: 0: document indices in [0, 199864130) total of 199864130 documents 0: validation: 0: document indices in [199864130, 210394379) total of 10530249 documents 0: test: 0: document indices in [210394379, 210604984) total of 210605 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_2884878ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_2884878ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_2884878ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.092 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_3072ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_3072ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_3072ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.072 seconds 0: total number of samples: 9118345 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.075 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-25 21:00:58 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: 16136.22 | train/valid/test-data-iterators-setup: 16936.41 0: [000-000] 0.2803B / 0.2267B 0: [before the start of training step] datetime: 2022-11-25 21:00:58 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 3765.8056640625 | max allocated: 34106.99267578125 | reserved: 35064.0 | max reserved: 35064.0 7: iteration 10/ 11269 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.71 | learning rate: 1.775E-05 | global batch size: 256 | lm loss: 1.000858E+01 | grad norm: 4.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 149.783 | TFLOPs: 9.80 | 7: iteration 20/ 11269 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.51 | learning rate: 3.550E-05 | global batch size: 256 | lm loss: 8.828316E+00 | grad norm: 4.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 502.976 | TFLOPs: 32.89 | 7: iteration 30/ 11269 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.49 | learning rate: 5.324E-05 | global batch size: 256 | lm loss: 8.428944E+00 | grad norm: 2.599 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.986 | TFLOPs: 33.94 | 7: iteration 40/ 11269 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.49 | learning rate: 7.099E-05 | global batch size: 256 | lm loss: 7.833710E+00 | grad norm: 1.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.191 | TFLOPs: 34.15 | 7: iteration 50/ 11269 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.50 | learning rate: 8.874E-05 | global batch size: 256 | lm loss: 7.279370E+00 | grad norm: 1.849 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.912 | TFLOPs: 33.41 | 7: iteration 60/ 11269 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.50 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 6.949174E+00 | grad norm: 1.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.660 | TFLOPs: 33.53 | 7: iteration 70/ 11269 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.49 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 6.690184E+00 | grad norm: 1.980 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.722 | TFLOPs: 33.92 | 7: iteration 80/ 11269 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.49 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 6.488471E+00 | grad norm: 1.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.513 | TFLOPs: 34.04 | 7: iteration 90/ 11269 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.50 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 6.354682E+00 | grad norm: 1.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.270 | TFLOPs: 33.70 | 7: iteration 100/ 11269 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.51 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 6.188760E+00 | grad norm: 1.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.852 | TFLOPs: 33.08 | 7: iteration 110/ 11269 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.48 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 6.051421E+00 | grad norm: 1.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.349 | TFLOPs: 34.55 | 7: iteration 120/ 11269 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.919111E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.821 | TFLOPs: 34.13 | 7: iteration 130/ 11269 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.794323E+00 | grad norm: 0.816 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.918 | TFLOPs: 34.33 | 7: iteration 140/ 11269 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.708687E+00 | grad norm: 0.731 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.421 | TFLOPs: 34.30 | 7: iteration 150/ 11269 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.669838E+00 | grad norm: 0.791 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.523 | TFLOPs: 34.63 | 7: iteration 160/ 11269 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.544213E+00 | grad norm: 0.576 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.676 | TFLOPs: 34.44 | 7: iteration 170/ 11269 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.49 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.526630E+00 | grad norm: 0.615 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.816 | TFLOPs: 34.26 | 7: iteration 180/ 11269 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.431839E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.369 | TFLOPs: 33.64 | 7: iteration 190/ 11269 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.51 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.405466E+00 | grad norm: 0.875 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 500.697 | TFLOPs: 32.75 | 7: iteration 200/ 11269 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.361482E+00 | grad norm: 0.750 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.747 | TFLOPs: 35.04 | 7: iteration 210/ 11269 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.334781E+00 | grad norm: 1.026 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.887 | TFLOPs: 34.85 | 7: iteration 220/ 11269 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.273336E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.884 | TFLOPs: 34.52 | 7: iteration 230/ 11269 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.259962E+00 | grad norm: 0.792 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.843 | TFLOPs: 35.11 | 7: iteration 240/ 11269 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.48 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.241607E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.044 | TFLOPs: 34.86 | 7: iteration 250/ 11269 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.48 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.194963E+00 | grad norm: 0.726 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.925 | TFLOPs: 34.72 | 7: iteration 260/ 11269 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.183554E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.796 | TFLOPs: 34.45 | 7: iteration 270/ 11269 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.48 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.102424E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.879 | TFLOPs: 34.65 | 7: iteration 280/ 11269 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.48 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.101668E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.352 | TFLOPs: 34.75 | 7: iteration 290/ 11269 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.49 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.040331E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.017 | TFLOPs: 34.27 | 7: iteration 300/ 11269 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.48 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.983615E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.452 | TFLOPs: 34.76 | 7: iteration 310/ 11269 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.48 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.007932E+00 | grad norm: 0.942 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.011 | TFLOPs: 34.92 | 7: iteration 320/ 11269 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.49 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.981754E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.342 | TFLOPs: 34.36 | 7: iteration 330/ 11269 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.48 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.936943E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.347 | TFLOPs: 34.55 | 7: iteration 340/ 11269 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.49 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.912647E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.488 | TFLOPs: 34.30 | 7: iteration 350/ 11269 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.49 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.866285E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.106 | TFLOPs: 34.34 | 7: iteration 360/ 11269 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.48 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.822205E+00 | grad norm: 0.878 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.056 | TFLOPs: 34.67 | 7: iteration 370/ 11269 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.49 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.775766E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.684 | TFLOPs: 34.51 | 7: iteration 380/ 11269 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.49 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.762910E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.209 | TFLOPs: 34.41 | 7: iteration 390/ 11269 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.48 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.724461E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.030 | TFLOPs: 34.66 | 7: iteration 400/ 11269 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.48 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.733028E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.039 | TFLOPs: 34.53 | 7: iteration 410/ 11269 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.49 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.686871E+00 | grad norm: 0.827 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.441 | TFLOPs: 34.23 | 7: iteration 420/ 11269 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.48 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.717857E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.561 | TFLOPs: 34.96 | 7: iteration 430/ 11269 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.49 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.644739E+00 | grad norm: 0.728 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.224 | TFLOPs: 34.48 | 7: iteration 440/ 11269 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.48 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.594714E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.735 | TFLOPs: 34.71 | 7: iteration 450/ 11269 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.48 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.567679E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.270 | TFLOPs: 34.68 | 7: iteration 460/ 11269 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.49 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.556012E+00 | grad norm: 1.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.823 | TFLOPs: 34.19 | 7: iteration 470/ 11269 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.48 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.550178E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.461 | TFLOPs: 35.08 | 7: iteration 480/ 11269 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.49 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.521556E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.055 | TFLOPs: 34.14 | 7: iteration 490/ 11269 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.48 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.445313E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.957 | TFLOPs: 35.12 | 7: iteration 500/ 11269 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.50 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.433036E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.551 | TFLOPs: 33.39 | 7: iteration 510/ 11269 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.47 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.414820E+00 | grad norm: 0.872 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.035 | TFLOPs: 35.25 | 7: iteration 520/ 11269 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.50 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.393660E+00 | grad norm: 0.862 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.245 | TFLOPs: 33.76 | 7: iteration 530/ 11269 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.48 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.319071E+00 | grad norm: 0.854 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.225 | TFLOPs: 35.00 | 7: iteration 540/ 11269 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.48 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.359878E+00 | grad norm: 0.906 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.371 | TFLOPs: 34.62 | 7: iteration 550/ 11269 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.48 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.343578E+00 | grad norm: 0.803 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.290 | TFLOPs: 35.01 | 7: iteration 560/ 11269 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.48 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.328799E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.202 | TFLOPs: 34.68 | 7: iteration 570/ 11269 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.48 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.242248E+00 | grad norm: 0.961 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.266 | TFLOPs: 35.14 | 7: iteration 580/ 11269 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.48 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.195870E+00 | grad norm: 0.862 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.347 | TFLOPs: 34.95 | 7: iteration 590/ 11269 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.48 | learning rate: 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iteration (s): 0.49 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.998896E+00 | grad norm: 1.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.725 | TFLOPs: 34.38 | 7: iteration 630/ 11269 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.48 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.039422E+00 | grad norm: 0.787 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.080 | TFLOPs: 34.60 | 7: iteration 640/ 11269 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.48 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.922608E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.767 | TFLOPs: 35.04 | 7: iteration 650/ 11269 | consumed samples: 166400 | consumed tokens: 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iterations: 0 | samples per second: 529.260 | TFLOPs: 34.61 | 7: iteration 770/ 11269 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.48 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.669004E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.053 | TFLOPs: 34.99 | 7: iteration 780/ 11269 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.48 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.594936E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.509 | TFLOPs: 34.89 | 7: iteration 790/ 11269 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.49 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.588658E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.225 | TFLOPs: 33.96 | 7: iteration 800/ 11269 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.48 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.558947E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.059 | TFLOPs: 34.80 | 7: iteration 810/ 11269 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.51 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.535791E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 504.417 | TFLOPs: 32.99 | 7: iteration 820/ 11269 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.48 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.552819E+00 | grad norm: 0.690 | num 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global batch size: 256 | lm loss: 3.517427E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.217 | TFLOPs: 35.00 | 7: iteration 890/ 11269 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.48 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.469095E+00 | grad norm: 0.507 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.517 | TFLOPs: 35.15 | 7: iteration 900/ 11269 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.48 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.447007E+00 | grad norm: 0.577 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.951 | TFLOPs: 34.99 | 7: iteration 910/ 11269 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.49 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.471710E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.671 | TFLOPs: 34.38 | 7: iteration 920/ 11269 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.49 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.476611E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.474 | TFLOPs: 34.17 | 7: iteration 930/ 11269 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.49 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.441330E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.785 | TFLOPs: 34.26 | 7: iteration 940/ 11269 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.48 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.416757E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.008 | TFLOPs: 34.60 | 7: iteration 950/ 11269 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.49 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.431121E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.120 | TFLOPs: 34.21 | 7: iteration 960/ 11269 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.48 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.403982E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.454 | TFLOPs: 34.69 | 7: iteration 970/ 11269 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.48 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.400082E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.794 | TFLOPs: 34.84 | 7: iteration 980/ 11269 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.49 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.354685E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.551 | TFLOPs: 34.31 | 7: iteration 990/ 11269 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.48 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.372648E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.958 | TFLOPs: 34.86 | 7: iteration 1000/ 11269 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.48 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.358284E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.223 | TFLOPs: 34.74 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 3.316469E+00 | lm loss PPL: 2.756286E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_280mcpu 0: [2022-11-25 21:09:17,148] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-25 21:09:17,327] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-25 21:09:17,523] [INFO] 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[Torch] Saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 21:09:18,126] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 21:09:18,126] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2022-11-25 21:09:18,130] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 21:09:18,130] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 21:09:18,131] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-25 21:09:18,131] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 21:09:18,157] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 7: [2022-11-25 21:09:18,169] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-25 21:09:18,170] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 21:09:18,170] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-25 21:09:18,182] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-25 21:09:18,182] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-25 21:09:18,182] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 1042.11 7: iteration 1010/ 11269 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.61 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.395315E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 422.349 | TFLOPs: 27.62 | 7: iteration 1020/ 11269 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.48 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.358326E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.603 | TFLOPs: 34.77 | 7: iteration 1030/ 11269 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.48 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.350755E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.394 | TFLOPs: 34.82 | 7: iteration 1040/ 11269 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.48 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.391322E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.663 | TFLOPs: 34.77 | 7: iteration 1050/ 11269 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.48 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.379193E+00 | grad norm: 0.564 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.859 | TFLOPs: 34.85 | 7: iteration 1060/ 11269 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.48 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.330688E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.527 | TFLOPs: 34.96 | 7: iteration 1070/ 11269 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.48 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.329499E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.177 | TFLOPs: 35.20 | 7: iteration 1080/ 11269 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.48 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.272053E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.004 | TFLOPs: 35.05 | 7: iteration 1090/ 11269 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.48 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.296911E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.080 | TFLOPs: 35.12 | 7: iteration 1100/ 11269 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.50 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.327726E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.171 | TFLOPs: 33.69 | 7: iteration 1110/ 11269 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.48 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.284775E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.325 | TFLOPs: 35.01 | 7: iteration 1120/ 11269 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.51 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.313506E+00 | grad norm: 0.511 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 506.668 | TFLOPs: 33.14 | 7: iteration 1130/ 11269 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.49 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.319589E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.107 | TFLOPs: 34.15 | 7: iteration 1140/ 11269 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.49 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.275800E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.458 | TFLOPs: 34.23 | 7: iteration 1150/ 11269 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.49 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.305934E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.406 | TFLOPs: 34.49 | 7: iteration 1160/ 11269 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.49 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.285415E+00 | grad norm: 0.624 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.063 | TFLOPs: 33.95 | 7: iteration 1170/ 11269 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.48 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.288506E+00 | grad norm: 0.546 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.784 | TFLOPs: 35.11 | 7: iteration 1180/ 11269 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.48 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.301568E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.053 | TFLOPs: 34.73 | 7: iteration 1190/ 11269 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.49 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.302706E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.079 | TFLOPs: 34.41 | 7: iteration 1200/ 11269 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.49 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.268923E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.444 | TFLOPs: 33.84 | 7: iteration 1210/ 11269 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.48 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.258099E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.207 | TFLOPs: 34.54 | 7: iteration 1220/ 11269 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.49 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.198678E+00 | grad norm: 0.585 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.032 | TFLOPs: 34.47 | 7: iteration 1230/ 11269 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.49 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.263924E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.452 | TFLOPs: 34.43 | 7: iteration 1240/ 11269 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.48 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.230768E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.957 | TFLOPs: 35.12 | 7: iteration 1250/ 11269 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.49 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.232701E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.762 | TFLOPs: 34.38 | 7: iteration 1260/ 11269 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.48 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.173417E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.862 | TFLOPs: 35.18 | 7: iteration 1270/ 11269 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.49 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.239314E+00 | grad norm: 0.702 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.969 | TFLOPs: 33.88 | 7: iteration 1280/ 11269 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.48 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.242191E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.723 | TFLOPs: 35.04 | 7: iteration 1290/ 11269 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.48 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.120588E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.267 | TFLOPs: 34.94 | 7: iteration 1300/ 11269 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.47 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.201139E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.761 | TFLOPs: 35.30 | 7: iteration 1310/ 11269 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.48 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.182889E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.612 | TFLOPs: 34.64 | 7: iteration 1320/ 11269 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.48 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.181777E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.395 | TFLOPs: 35.01 | 7: iteration 1330/ 11269 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.48 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.183789E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.808 | TFLOPs: 34.91 | 7: iteration 1340/ 11269 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.48 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.196173E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.720 | TFLOPs: 34.58 | 7: iteration 1350/ 11269 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.48 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.178297E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.151 | TFLOPs: 34.61 | 7: iteration 1360/ 11269 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.49 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.136261E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.458 | TFLOPs: 34.23 | 7: iteration 1370/ 11269 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.48 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 3.172554E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.457 | TFLOPs: 35.08 | 7: iteration 1380/ 11269 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.49 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 3.165317E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.262 | TFLOPs: 34.48 | 7: iteration 1390/ 11269 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.48 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.162641E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.902 | TFLOPs: 34.66 | 7: iteration 1400/ 11269 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.48 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.204269E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.009 | TFLOPs: 34.53 | 7: iteration 1410/ 11269 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.50 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 3.164634E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.031 | TFLOPs: 33.68 | 7: iteration 1420/ 11269 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.50 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.117211E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.646 | TFLOPs: 33.59 | 7: iteration 1430/ 11269 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.51 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.120267E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 504.132 | TFLOPs: 32.97 | 7: iteration 1440/ 11269 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.48 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.150729E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.007 | TFLOPs: 34.92 | 7: iteration 1450/ 11269 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.53 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 3.139721E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 481.819 | TFLOPs: 31.51 | 7: iteration 1460/ 11269 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.48 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 3.151249E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.019 | TFLOPs: 34.73 | 7: iteration 1470/ 11269 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.49 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 3.119835E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.111 | TFLOPs: 34.21 | 7: iteration 1480/ 11269 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.48 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.141802E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.712 | TFLOPs: 35.10 | 7: iteration 1490/ 11269 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.48 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.155764E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.182 | TFLOPs: 35.07 | 7: iteration 1500/ 11269 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.48 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 3.125018E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.841 | TFLOPs: 34.85 | 7: iteration 1510/ 11269 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.48 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.129917E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.481 | TFLOPs: 35.15 | 7: iteration 1520/ 11269 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.48 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 3.126500E+00 | grad norm: 0.555 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.576 | TFLOPs: 35.03 | 7: iteration 1530/ 11269 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.49 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.116329E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.785 | TFLOPs: 34.52 | 7: iteration 1540/ 11269 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.48 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.132042E+00 | grad norm: 0.549 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.685 | TFLOPs: 35.03 | 7: iteration 1550/ 11269 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.49 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 3.104047E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.043 | TFLOPs: 34.21 | 7: iteration 1560/ 11269 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.51 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.084221E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.617 | TFLOPs: 33.07 | 7: iteration 1570/ 11269 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.48 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.074529E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.409 | TFLOPs: 34.95 | 7: iteration 1580/ 11269 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.48 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.100743E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.005 | TFLOPs: 34.73 | 7: iteration 1590/ 11269 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.48 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.105932E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.581 | TFLOPs: 35.09 | 7: iteration 1600/ 11269 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.48 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.076939E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.741 | TFLOPs: 34.78 | 7: iteration 1610/ 11269 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.48 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 3.061101E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.811 | TFLOPs: 34.85 | 7: iteration 1620/ 11269 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.48 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.060013E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.699 | TFLOPs: 34.77 | 7: iteration 1630/ 11269 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.48 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 3.076993E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.929 | TFLOPs: 34.92 | 7: iteration 1640/ 11269 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.48 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.050241E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.691 | TFLOPs: 34.77 | 7: iteration 1650/ 11269 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.48 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.113334E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.239 | TFLOPs: 35.00 | 7: iteration 1660/ 11269 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.47 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.037200E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.056 | TFLOPs: 35.32 | 7: iteration 1670/ 11269 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.48 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.074982E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.408 | TFLOPs: 34.69 | 7: iteration 1680/ 11269 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.48 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.046771E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.721 | TFLOPs: 34.84 | 7: iteration 1690/ 11269 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.48 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.095194E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.615 | TFLOPs: 34.96 | 7: iteration 1700/ 11269 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.47 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.087626E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.327 | TFLOPs: 35.34 | 7: iteration 1710/ 11269 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.48 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.054331E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.704 | TFLOPs: 35.03 | 7: iteration 1720/ 11269 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 0.48 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.049987E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.593 | TFLOPs: 35.09 | 7: iteration 1730/ 11269 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.50 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.038881E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.097 | TFLOPs: 33.56 | 7: iteration 1740/ 11269 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.48 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.076989E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.756 | TFLOPs: 35.10 | 7: iteration 1750/ 11269 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.48 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.050253E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.730 | TFLOPs: 34.71 | 7: iteration 1760/ 11269 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.48 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.061271E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.534 | TFLOPs: 35.02 | 7: iteration 1770/ 11269 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.48 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.024332E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.111 | TFLOPs: 34.73 | 7: iteration 1780/ 11269 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.48 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.013781E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.221 | TFLOPs: 34.68 | 7: iteration 1790/ 11269 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.48 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 3.070899E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.105 | TFLOPs: 34.86 | 7: iteration 1800/ 11269 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.48 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.013573E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.070 | TFLOPs: 35.12 | 7: iteration 1810/ 11269 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.49 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.041959E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.738 | TFLOPs: 34.38 | 7: iteration 1820/ 11269 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.48 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.023238E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.754 | TFLOPs: 35.17 | 7: iteration 1830/ 11269 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.47 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.010991E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.775 | TFLOPs: 35.30 | 7: iteration 1840/ 11269 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 0.48 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.012796E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.002 | TFLOPs: 34.99 | 7: iteration 1850/ 11269 | consumed samples: 473600 | consumed tokens: 969932800 | elapsed time per iteration (s): 0.48 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.022678E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.508 | TFLOPs: 35.09 | 7: iteration 1860/ 11269 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 0.48 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.983999E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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| number of nan iterations: 0 | samples per second: 532.113 | TFLOPs: 34.80 | 7: iteration 1900/ 11269 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 0.49 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.960100E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.144 | TFLOPs: 33.89 | 7: iteration 1910/ 11269 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 0.48 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.015336E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.863 | TFLOPs: 35.05 | 7: iteration 1920/ 11269 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.48 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 2.978483E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.133 | TFLOPs: 35.06 | 7: iteration 1930/ 11269 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.48 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.991790E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.949 | TFLOPs: 35.12 | 7: iteration 1940/ 11269 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.48 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.982102E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.824 | TFLOPs: 34.78 | 7: iteration 1950/ 11269 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.48 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.961746E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.708 | TFLOPs: 34.84 | 7: iteration 1960/ 11269 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.48 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 3.018357E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.313 | TFLOPs: 34.81 | 7: iteration 1970/ 11269 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.48 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.019187E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.526 | TFLOPs: 35.02 | 7: iteration 1980/ 11269 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.48 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.988740E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.720 | TFLOPs: 34.77 | 7: iteration 1990/ 11269 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.48 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.015192E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.343 | TFLOPs: 34.68 | 0: [2022-11-25 21:17:21,474] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00018758615112345138, 0.00018758615112345138, 0.00018758615112345138], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 11269 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.48 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.005599E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.595 | TFLOPs: 34.77 | 0: steps: 2000 loss: 3.0865 iter time (s): 0.488 samples/sec: 524.211 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 2.882891E+00 | lm loss PPL: 1.786586E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_280mcpu 0: [2022-11-25 21:17:21,650] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-25 21:17:21,653] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-25 21:17:21,766] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/layer_01-model_00-model_states.pt. 0: [2022-11-25 21:17:21,767] [INFO] 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checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-25 21:17:22,354] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-25 21:17:22,369] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 21:17:22,369] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 21:17:22,371] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-25 21:17:22,371] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-25 21:17:22,371] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-25 21:17:22,371] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 21:17:22,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 21:17:22,372] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-25 21:17:22,383] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-25 21:17:22,384] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 21:17:22,384] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-25 21:17:22,385] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-25 21:17:22,385] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-25 21:17:22,385] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-25 21:17:22,392] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-25 21:17:22,392] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-25 21:17:22,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 21:17:22,395] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-25 21:17:22,395] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-25 21:17:22,395] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-25 21:17:22,401] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-25 21:17:22,401] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-25 21:17:22,402] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 756.79 7: iteration 2010/ 11269 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.58 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 3.017628E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.094 | TFLOPs: 28.98 | 7: iteration 2020/ 11269 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.49 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 3.029161E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.549 | TFLOPs: 34.50 | 7: iteration 2030/ 11269 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.49 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.949592E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.649 | TFLOPs: 33.92 | 7: iteration 2040/ 11269 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.48 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.974575E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.008 | TFLOPs: 34.79 | 7: iteration 2050/ 11269 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.48 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 3.001214E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.388 | TFLOPs: 34.56 | 7: iteration 2060/ 11269 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.49 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.974041E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.799 | TFLOPs: 34.45 | 7: iteration 2070/ 11269 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.48 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.953118E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.387 | TFLOPs: 34.69 | 7: iteration 2080/ 11269 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.48 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.973875E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.071 | TFLOPs: 34.86 | 7: iteration 2090/ 11269 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.48 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 2.965342E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.516 | TFLOPs: 34.83 | 7: iteration 2100/ 11269 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.48 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 2.955746E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.977 | TFLOPs: 35.05 | 7: iteration 2110/ 11269 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.48 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 2.941735E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.426 | TFLOPs: 34.62 | 7: iteration 2120/ 11269 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.48 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 2.957833E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.784 | TFLOPs: 34.65 | 7: iteration 2130/ 11269 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.47 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 2.957174E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.166 | TFLOPs: 35.33 | 7: iteration 2140/ 11269 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.48 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 2.953184E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.361 | TFLOPs: 34.82 | 7: iteration 2150/ 11269 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.48 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 2.941121E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.759 | TFLOPs: 34.91 | 7: iteration 2160/ 11269 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.48 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 2.946496E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.854 | TFLOPs: 34.59 | 7: iteration 2170/ 11269 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.48 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 2.963658E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.232 | TFLOPs: 34.87 | 7: iteration 2180/ 11269 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.48 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 2.969874E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.768 | TFLOPs: 35.04 | 7: iteration 2190/ 11269 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.48 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 2.943981E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.495 | TFLOPs: 35.02 | 7: iteration 2200/ 11269 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.48 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.967554E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.269 | TFLOPs: 34.88 | 7: iteration 2210/ 11269 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.48 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.919164E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.126 | TFLOPs: 35.06 | 7: iteration 2220/ 11269 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.48 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.989383E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.769 | TFLOPs: 35.04 | 7: iteration 2230/ 11269 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.48 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.942124E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.050 | TFLOPs: 35.06 | 7: iteration 2240/ 11269 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.47 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.967858E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.602 | TFLOPs: 35.29 | 7: iteration 2250/ 11269 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.48 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 2.928161E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.605 | TFLOPs: 34.77 | 7: iteration 2260/ 11269 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.48 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.894292E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.937 | TFLOPs: 35.05 | 7: iteration 2270/ 11269 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.49 | learning rate: 1.839E-04 | global batch size: 256 | lm loss: 2.897449E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.003 | TFLOPs: 34.47 | 7: iteration 2280/ 11269 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.49 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.921067E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.640 | TFLOPs: 34.44 | 7: iteration 2290/ 11269 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.48 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.954175E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.711 | TFLOPs: 34.97 | 7: iteration 2300/ 11269 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.48 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.927967E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.620 | TFLOPs: 34.70 | 7: iteration 2310/ 11269 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.48 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.950872E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.247 | TFLOPs: 35.00 | 7: iteration 2320/ 11269 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.48 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 2.943582E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.156 | TFLOPs: 35.06 | 7: iteration 2330/ 11269 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.51 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 2.871855E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 500.189 | TFLOPs: 32.71 | 7: iteration 2340/ 11269 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.48 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.886100E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.356 | TFLOPs: 34.88 | 7: iteration 2350/ 11269 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.48 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 2.913424E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.321 | TFLOPs: 34.88 | 7: iteration 2360/ 11269 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.48 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.932278E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.865 | TFLOPs: 34.72 | 7: iteration 2370/ 11269 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.50 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.940805E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.274 | TFLOPs: 33.63 | 7: iteration 2380/ 11269 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.49 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 2.919497E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.816 | TFLOPs: 34.52 | 7: iteration 2390/ 11269 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.48 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 2.906829E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.954 | TFLOPs: 34.79 | 7: iteration 2400/ 11269 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.49 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.953011E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.016 | TFLOPs: 34.47 | 7: iteration 2410/ 11269 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.48 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 2.917826E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.924 | TFLOPs: 34.79 | 7: iteration 2420/ 11269 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.48 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.907597E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.648 | TFLOPs: 35.16 | 7: iteration 2430/ 11269 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.48 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 2.913387E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.080 | TFLOPs: 35.06 | 7: iteration 2440/ 11269 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.48 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.884485E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.406 | TFLOPs: 35.02 | 7: iteration 2450/ 11269 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.48 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 2.908148E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.403 | TFLOPs: 34.88 | 7: iteration 2460/ 11269 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.48 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 2.932447E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.967 | TFLOPs: 35.05 | 7: iteration 2470/ 11269 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.48 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 2.902537E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.874 | TFLOPs: 34.92 | 7: iteration 2480/ 11269 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.48 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 2.880254E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.464 | TFLOPs: 34.89 | 7: iteration 2490/ 11269 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.49 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 2.878850E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.344 | TFLOPs: 34.10 | 7: iteration 2500/ 11269 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.48 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 2.938403E+00 | grad norm: 1.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.914 | TFLOPs: 34.79 | 7: iteration 2510/ 11269 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.48 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.022796E+00 | grad norm: 1.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.113 | TFLOPs: 34.87 | 7: iteration 2520/ 11269 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.49 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.001163E+00 | grad norm: 0.761 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.371 | TFLOPs: 33.97 | 7: iteration 2530/ 11269 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.48 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 2.956611E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.042 | TFLOPs: 34.93 | 7: iteration 2540/ 11269 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.48 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 2.908864E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.698 | TFLOPs: 34.84 | 7: iteration 2550/ 11269 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.48 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 2.871479E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.038 | TFLOPs: 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| elapsed time per iteration (s): 0.49 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 2.848265E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.087 | TFLOPs: 34.41 | 7: iteration 2770/ 11269 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.48 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.871688E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.791 | TFLOPs: 34.98 | 7: iteration 2780/ 11269 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.48 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 2.859764E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.798 | TFLOPs: 35.17 | 7: iteration 2790/ 11269 | consumed samples: 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norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.800 | TFLOPs: 34.91 | 7: iteration 2940/ 11269 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.48 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 2.809461E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.233 | TFLOPs: 34.81 | 7: iteration 2950/ 11269 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.48 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 2.803459E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.655 | TFLOPs: 34.77 | 7: iteration 2960/ 11269 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.49 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 2.856405E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.806 | TFLOPs: 33.86 | 7: iteration 2970/ 11269 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.48 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 2.865637E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.164 | TFLOPs: 34.80 | 7: iteration 2980/ 11269 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.48 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 2.839405E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.984 | TFLOPs: 35.12 | 7: iteration 2990/ 11269 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.48 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 2.828852E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.326 | TFLOPs: 34.81 | 7: iteration 3000/ 11269 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.48 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 2.830964E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.416 | TFLOPs: 34.82 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 2.772258E+00 | lm loss PPL: 1.599471E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_280mcpu 0: [2022-11-25 21:25:24,773] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint 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checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-25 21:25:25,407] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-25 21:25:25,407] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-25 21:25:25,408] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-25 21:25:25,408] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-25 21:25:25,408] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-25 21:25:25,411] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[Torch] Saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 3: [2022-11-25 21:25:25,412] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 5: [2022-11-25 21:25:25,412] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-25 21:25:25,412] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-25 21:25:25,412] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 5: [2022-11-25 21:25:25,412] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-25 21:25:25,413] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[Torch] Saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 21:25:25,419] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-25 21:25:25,419] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 21:25:25,419] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-25 21:25:25,419] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 7: [2022-11-25 21:25:25,419] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-25 21:25:25,429] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-25 21:25:25,428] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-25 21:25:25,428] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-25 21:25:25,428] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 21:25:25,428] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-25 21:25:25,432] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-25 21:25:25,432] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280mcpu/global_step3000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-25 21:25:25,519] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 0: successfully saved checkpoint at iteration 3000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 750.86 7: iteration 3010/ 11269 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.56 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 2.811312E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.697 | TFLOPs: 29.74 | 7: iteration 3020/ 11269 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.48 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 2.828985E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.579 | TFLOPs: 35.09 | 7: iteration 3030/ 11269 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.48 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 2.784286E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.437 | TFLOPs: 34.82 | 7: iteration 3040/ 11269 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.48 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.825314E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.532 | TFLOPs: 34.70 | 7: iteration 3050/ 11269 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.48 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 2.833118E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.655 | TFLOPs: 34.90 | 7: iteration 3060/ 11269 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.48 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 2.850346E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.285 | TFLOPs: 34.81 | 7: iteration 3070/ 11269 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.48 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 2.852076E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.042 | TFLOPs: 35.12 | 7: iteration 3080/ 11269 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.48 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 2.819139E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.364 | TFLOPs: 34.75 | 7: iteration 3090/ 11269 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.48 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 2.818949E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.849 | TFLOPs: 35.11 | 7: iteration 3100/ 11269 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.48 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 2.847962E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.389 | TFLOPs: 34.95 | 7: iteration 3110/ 11269 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.49 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 2.782170E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.410 | TFLOPs: 34.43 | 7: iteration 3120/ 11269 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.48 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 2.824697E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.195 | TFLOPs: 34.74 | 7: iteration 3130/ 11269 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.48 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 2.820462E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.653 | TFLOPs: 34.84 | 7: iteration 3140/ 11269 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.49 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 2.788588E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.300 | TFLOPs: 33.96 | 7: iteration 3150/ 11269 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.48 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 2.830043E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.023 | TFLOPs: 34.73 | 7: iteration 3160/ 11269 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.48 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 2.782759E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.866 | TFLOPs: 34.85 | 7: iteration 3170/ 11269 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.48 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 2.796507E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.391 | TFLOPs: 34.62 | 7: iteration 3180/ 11269 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.48 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 2.815835E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.900 | TFLOPs: 35.05 | 7: iteration 3190/ 11269 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.48 | learning rate: 1.683E-04 | global batch size: 256 | lm loss: 2.771339E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.799 | TFLOPs: 34.98 | 7: iteration 3200/ 11269 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.48 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 2.778460E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.205 | TFLOPs: 34.74 | 7: iteration 3210/ 11269 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.48 | learning rate: 1.679E-04 | global batch size: 256 | lm loss: 2.828316E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.161 | TFLOPs: 35.20 | 7: iteration 3220/ 11269 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.48 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 2.789464E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.127 | TFLOPs: 35.00 | 7: iteration 3230/ 11269 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.48 | learning rate: 1.675E-04 | global batch size: 256 | lm loss: 2.815137E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.041 | TFLOPs: 35.19 | 7: iteration 3240/ 11269 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.48 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 2.787490E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.353 | TFLOPs: 35.14 | 7: iteration 3250/ 11269 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.48 | learning rate: 1.671E-04 | global batch size: 256 | lm loss: 2.809377E+00 | grad norm: 1.582 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.573 | TFLOPs: 35.03 | 7: iteration 3260/ 11269 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.47 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 2.869932E+00 | grad norm: 0.951 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.824 | TFLOPs: 35.30 | 7: iteration 3270/ 11269 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.48 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 2.852056E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.879 | TFLOPs: 34.78 | 7: iteration 3280/ 11269 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.48 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.813884E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.120 | TFLOPs: 35.00 | 7: iteration 3290/ 11269 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.48 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 2.775502E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.565 | TFLOPs: 35.03 | 7: iteration 3300/ 11269 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.48 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 2.822070E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.707 | TFLOPs: 35.04 | 7: iteration 3310/ 11269 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.49 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.799767E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.058 | TFLOPs: 34.47 | 7: iteration 3320/ 11269 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.48 | learning rate: 1.657E-04 | global batch size: 256 | lm loss: 2.814001E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.652 | TFLOPs: 34.70 | 7: iteration 3330/ 11269 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.48 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 2.827273E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.629 | TFLOPs: 34.90 | 7: iteration 3340/ 11269 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.48 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 2.819741E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number 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of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.441 | TFLOPs: 34.69 | 7: iteration 3380/ 11269 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.48 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 2.796877E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.577 | TFLOPs: 35.09 | 7: iteration 3390/ 11269 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.48 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 2.792770E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.545 | TFLOPs: 35.02 | 7: iteration 3400/ 11269 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.48 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 2.764701E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.398 | TFLOPs: 34.75 | 7: iteration 3410/ 11269 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.48 | learning rate: 1.639E-04 | global batch size: 256 | lm loss: 2.827714E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.845 | TFLOPs: 34.91 | 7: iteration 3420/ 11269 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.48 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 2.813371E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.950 | TFLOPs: 34.59 | 7: iteration 3430/ 11269 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.48 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 2.768169E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.935 | TFLOPs: 34.98 | 7: iteration 3440/ 11269 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.48 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.740228E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.071 | TFLOPs: 34.99 | 7: iteration 3450/ 11269 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.48 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.806959E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.964 | TFLOPs: 34.53 | 7: iteration 3460/ 11269 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.48 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.778377E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.649 | TFLOPs: 35.16 | 7: iteration 3470/ 11269 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.49 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 2.807653E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.454 | TFLOPs: 34.36 | 7: iteration 3480/ 11269 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.48 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 2.794509E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.516 | TFLOPs: 34.83 | 7: iteration 3490/ 11269 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.47 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 2.764663E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.603 | TFLOPs: 35.29 | 7: iteration 3500/ 11269 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.48 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.764331E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.926 | TFLOPs: 35.18 | 7: iteration 3510/ 11269 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.48 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 2.779842E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.540 | TFLOPs: 35.15 | 7: iteration 3520/ 11269 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.48 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.755489E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.944 | TFLOPs: 34.72 | 7: iteration 3530/ 11269 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.48 | learning rate: 1.614E-04 | global batch size: 256 | lm loss: 2.770450E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.064 | TFLOPs: 35.06 | 7: iteration 3540/ 11269 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.48 | learning rate: 1.612E-04 | global batch size: 256 | lm loss: 2.790730E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.356 | TFLOPs: 35.14 | 7: iteration 3550/ 11269 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.47 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.772230E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.818 | TFLOPs: 35.30 | 7: iteration 3560/ 11269 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.48 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.793364E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.310 | TFLOPs: 35.01 | 7: iteration 3570/ 11269 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.48 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.778564E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.490 | TFLOPs: 34.76 | 7: iteration 3580/ 11269 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.48 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.791747E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.286 | TFLOPs: 35.14 | 7: iteration 3590/ 11269 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.49 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.747694E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.555 | TFLOPs: 34.04 | 7: iteration 3600/ 11269 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.48 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.764351E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.755 | TFLOPs: 34.65 | 7: iteration 3610/ 11269 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.48 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 2.786733E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.306 | TFLOPs: 35.01 | 7: iteration 3620/ 11269 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.48 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.751542E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.840 | TFLOPs: 35.11 | 7: iteration 3630/ 11269 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.48 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.783002E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.915 | TFLOPs: 34.98 | 7: iteration 3640/ 11269 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.48 | learning rate: 1.591E-04 | global batch size: 256 | lm loss: 2.793524E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.982 | TFLOPs: 34.73 | 7: iteration 3650/ 11269 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.48 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 2.753024E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.857 | TFLOPs: 35.11 | 7: iteration 3660/ 11269 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.48 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 2.756372E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.785 | TFLOPs: 35.24 | 7: iteration 3670/ 11269 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.48 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.751491E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.309 | TFLOPs: 34.94 | 7: iteration 3680/ 11269 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.48 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.787155E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.407 | TFLOPs: 35.08 | 7: iteration 3690/ 11269 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.48 | learning rate: 1.581E-04 | global batch size: 256 | lm loss: 2.784480E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.373 | TFLOPs: 34.95 | 7: iteration 3700/ 11269 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.49 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 2.758952E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.223 | TFLOPs: 34.35 | 7: iteration 3710/ 11269 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.48 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 2.767662E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.062 | TFLOPs: 34.73 | 7: iteration 3720/ 11269 | consumed samples: 952320 | consumed tokens: 1950351360 | elapsed time per iteration (s): 0.48 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 2.779893E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.730 | TFLOPs: 34.97 | 7: iteration 3730/ 11269 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 0.48 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 2.769873E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.848 | TFLOPs: 35.11 | 7: iteration 3740/ 11269 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.48 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 2.750636E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.781 | TFLOPs: 35.11 | 7: iteration 3750/ 11269 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.48 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 2.785088E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.339 | TFLOPs: 34.68 | 7: iteration 3760/ 11269 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.48 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 2.733069E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.345 | TFLOPs: 34.82 | 7: iteration 3770/ 11269 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.48 | learning rate: 1.563E-04 | global batch size: 256 | lm loss: 2.761256E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.506 | TFLOPs: 35.15 | 7: iteration 3780/ 11269 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.48 | learning rate: 1.561E-04 | global batch size: 256 | lm loss: 2.756608E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.753 | TFLOPs: 35.04 | 7: iteration 3790/ 11269 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.49 | learning rate: 1.559E-04 | global batch size: 256 | lm loss: 2.767549E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.391 | TFLOPs: 34.03 | 7: iteration 3800/ 11269 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.48 | learning rate: 1.557E-04 | global batch size: 256 | lm loss: 2.769394E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.363 | TFLOPs: 35.01 | 7: iteration 3810/ 11269 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.48 | learning rate: 1.555E-04 | global batch size: 256 | lm loss: 2.757799E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.518 | TFLOPs: 35.02 | 7: iteration 3820/ 11269 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.48 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 2.770771E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.866 | TFLOPs: 34.72 | 7: iteration 3830/ 11269 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.48 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.786399E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.835 | TFLOPs: 34.78 | 7: iteration 3840/ 11269 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.48 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 2.753514E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.357 | TFLOPs: 34.95 | 7: iteration 3850/ 11269 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.48 | learning rate: 1.546E-04 | global batch size: 256 | lm loss: 2.727027E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.224 | TFLOPs: 34.81 | 7: iteration 3860/ 11269 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.48 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 2.747623E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.602 | TFLOPs: 34.77 | 7: iteration 3870/ 11269 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.48 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 2.717063E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.627 | TFLOPs: 35.03 | 7: iteration 3880/ 11269 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.48 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.769593E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.562 | TFLOPs: 34.96 | 7: iteration 3890/ 11269 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.48 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.769393E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.376 | TFLOPs: 34.82 | 7: iteration 3900/ 11269 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.49 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 2.731228E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.735 | TFLOPs: 34.45 | 7: iteration 3910/ 11269 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.48 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 2.750894E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.802 | TFLOPs: 34.78 | 7: iteration 3920/ 11269 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.48 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 2.749561E+00 | grad norm: 0.577 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.654 | TFLOPs: 34.70 | 7: iteration 3930/ 11269 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.50 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.793670E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 507.677 | TFLOPs: 33.20 | 7: iteration 3940/ 11269 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.48 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 2.720385E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.825 | TFLOPs: 34.91 | 7: iteration 3950/ 11269 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.48 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 2.744068E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.484 | TFLOPs: 34.82 | 7: iteration 3960/ 11269 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.48 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.714278E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.727 | TFLOPs: 35.10 | 7: iteration 3970/ 11269 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.48 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 2.775482E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.980 | TFLOPs: 34.66 | 7: iteration 3980/ 11269 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.48 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 2.751658E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.848 | TFLOPs: 34.52 | 7: iteration 3990/ 11269 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.48 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 2.767068E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.048 | TFLOPs: 34.99 | 0: [2022-11-25 21:33:25,820] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00015125198701273666, 0.00015125198701273666, 0.00015125198701273666], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 11269 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.48 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 2.722976E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.837 | TFLOPs: 34.65 | 0: steps: 4000 loss: 2.6805 iter time (s): 0.479 samples/sec: 534.370 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 2.801420E+00 | lm loss PPL: 1.646801E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_280mcpu 0: [2022-11-25 21:33:25,997] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-25 21:33:26,002] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-25 21:33:26,113] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step4000/layer_01-model_00-model_states.pt. 0: [2022-11-25 21:33:26,114] [INFO] 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checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-25 21:33:26,715] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-25 21:33:26,715] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-25 21:33:26,715] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-25 21:33:26,715] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-25 21:33:26,716] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-25 21:33:26,716] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-25 21:33:26,716] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-25 21:33:26,725] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-25 21:33:26,725] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-25 21:33:26,725] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-25 21:33:26,735] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 21:33:26,736] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 742.85 7: iteration 4010/ 11269 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.57 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.731902E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.531 | TFLOPs: 29.33 | 7: iteration 4020/ 11269 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.48 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.763991E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.625 | TFLOPs: 34.77 | 7: iteration 4030/ 11269 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.48 | learning rate: 1.506E-04 | global batch size: 256 | lm loss: 2.733350E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.777 | TFLOPs: 34.65 | 7: iteration 4040/ 11269 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.48 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 2.703979E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.498 | TFLOPs: 35.02 | 7: iteration 4050/ 11269 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.49 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 2.714015E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.006 | TFLOPs: 33.88 | 7: iteration 4060/ 11269 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.48 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 2.754800E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.937 | TFLOPs: 34.79 | 7: iteration 4070/ 11269 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.48 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 2.764081E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.531 | TFLOPs: 35.15 | 7: iteration 4080/ 11269 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.50 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 2.733990E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.325 | TFLOPs: 33.70 | 7: iteration 4090/ 11269 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.49 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 2.741655E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.498 | TFLOPs: 34.43 | 7: iteration 4100/ 11269 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.49 | learning rate: 1.490E-04 | global batch size: 256 | lm loss: 2.733891E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.478 | TFLOPs: 34.37 | 7: iteration 4110/ 11269 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.48 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 2.698333E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.721 | TFLOPs: 34.58 | 7: iteration 4120/ 11269 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.48 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 2.692433E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.466 | TFLOPs: 35.02 | 7: iteration 4130/ 11269 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.48 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 2.698116E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.278 | TFLOPs: 34.81 | 7: iteration 4140/ 11269 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.48 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 2.716157E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.357 | TFLOPs: 34.88 | 7: iteration 4150/ 11269 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.48 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.730460E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.292 | TFLOPs: 35.14 | 7: iteration 4160/ 11269 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.48 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 2.729473E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.574 | TFLOPs: 34.90 | 7: iteration 4170/ 11269 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.49 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.704339E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.207 | TFLOPs: 34.02 | 7: iteration 4180/ 11269 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.48 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 2.724096E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.937 | TFLOPs: 34.79 | 7: iteration 4190/ 11269 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.48 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.690152E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.205 | TFLOPs: 35.13 | 7: iteration 4200/ 11269 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.48 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.724708E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.275 | TFLOPs: 35.14 | 7: iteration 4210/ 11269 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.48 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 2.722580E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.858 | TFLOPs: 34.78 | 7: iteration 4220/ 11269 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.48 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 2.740703E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.824 | TFLOPs: 35.04 | 7: iteration 4230/ 11269 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.49 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.720443E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.175 | TFLOPs: 34.41 | 7: iteration 4240/ 11269 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.50 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.719763E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.701 | TFLOPs: 33.60 | 7: iteration 4250/ 11269 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.48 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 2.699366E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.707 | TFLOPs: 35.17 | 7: iteration 4260/ 11269 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.48 | learning rate: 1.453E-04 | global batch size: 256 | lm loss: 2.726246E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.961 | TFLOPs: 34.72 | 7: iteration 4270/ 11269 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.48 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 2.683500E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.642 | TFLOPs: 34.77 | 7: iteration 4280/ 11269 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.48 | learning rate: 1.448E-04 | global batch size: 256 | lm loss: 2.722186E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.109 | TFLOPs: 34.60 | 7: iteration 4290/ 11269 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.47 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 2.705782E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.570 | TFLOPs: 35.35 | 7: iteration 4300/ 11269 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.48 | learning rate: 1.444E-04 | global batch size: 256 | lm loss: 2.722153E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.067 | TFLOPs: 35.12 | 7: iteration 4310/ 11269 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.49 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 2.710543E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 519.775 | TFLOPs: 33.99 | 7: iteration 4320/ 11269 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.48 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 2.708776E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.639 | TFLOPs: 35.10 | 7: iteration 4330/ 11269 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.48 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 2.682790E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.763 | TFLOPs: 34.84 | 7: iteration 4340/ 11269 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.48 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 2.745646E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.431 | TFLOPs: 35.02 | 7: iteration 4350/ 11269 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.48 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 2.715859E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.349 | TFLOPs: 35.08 | 7: iteration 4360/ 11269 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.48 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 2.708133E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.748 | TFLOPs: 34.71 | 7: iteration 4370/ 11269 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.50 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 2.742822E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.460 | TFLOPs: 33.65 | 7: iteration 4380/ 11269 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.48 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.705650E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.413 | TFLOPs: 35.15 | 7: iteration 4390/ 11269 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.50 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 2.738302E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.630 | TFLOPs: 33.72 | 7: iteration 4400/ 11269 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.48 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 2.716383E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.046 | TFLOPs: 34.80 | 7: iteration 4410/ 11269 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.48 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 2.690803E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.584 | TFLOPs: 34.77 | 7: iteration 4420/ 11269 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.48 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 2.702528E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.311 | TFLOPs: 34.81 | 7: iteration 4430/ 11269 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.48 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 2.678063E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.066 | TFLOPs: 34.80 | 7: iteration 4440/ 11269 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.47 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 2.714192E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.231 | TFLOPs: 35.33 | 7: iteration 4450/ 11269 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.47 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.717547E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.966 | TFLOPs: 35.31 | 7: iteration 4460/ 11269 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.48 | learning rate: 1.406E-04 | global batch size: 256 | lm loss: 2.652135E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.002 | TFLOPs: 35.05 | 7: iteration 4470/ 11269 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.48 | learning rate: 1.403E-04 | global batch size: 256 | lm loss: 2.694103E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.008 | TFLOPs: 34.60 | 7: iteration 4480/ 11269 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.49 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 2.713334E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.268 | TFLOPs: 34.35 | 7: iteration 4490/ 11269 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.48 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.667712E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.341 | TFLOPs: 34.81 | 7: iteration 4500/ 11269 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.48 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 2.700995E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.038 | TFLOPs: 34.93 | 7: iteration 4510/ 11269 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.48 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 2.682084E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.250 | TFLOPs: 35.20 | 7: iteration 4520/ 11269 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.48 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 2.704539E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.829 | TFLOPs: 34.85 | 7: iteration 4530/ 11269 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.49 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 2.728469E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.466 | TFLOPs: 33.91 | 7: iteration 4540/ 11269 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.49 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 2.708332E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.231 | TFLOPs: 34.09 | 7: iteration 4550/ 11269 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.48 | learning rate: 1.384E-04 | global batch size: 256 | lm loss: 2.681443E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.579 | TFLOPs: 34.57 | 7: iteration 4560/ 11269 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.48 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.699193E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.108 | TFLOPs: 34.87 | 7: iteration 4570/ 11269 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.49 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.684974E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.887 | TFLOPs: 34.39 | 7: iteration 4580/ 11269 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.48 | learning rate: 1.377E-04 | global batch size: 256 | lm loss: 2.705432E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.452 | TFLOPs: 34.89 | 7: iteration 4590/ 11269 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.48 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 2.657226E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.448 | TFLOPs: 34.95 | 7: iteration 4600/ 11269 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.48 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 2.723941E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.758 | TFLOPs: 34.71 | 7: iteration 4610/ 11269 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.48 | learning rate: 1.370E-04 | global batch size: 256 | lm loss: 2.692565E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.344 | TFLOPs: 35.14 | 7: iteration 4620/ 11269 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.48 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 2.699870E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.514 | TFLOPs: 34.83 | 7: iteration 4630/ 11269 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.48 | learning rate: 1.365E-04 | global batch size: 256 | lm loss: 2.715629E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.486 | TFLOPs: 34.69 | 7: iteration 4640/ 11269 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.48 | learning rate: 1.362E-04 | global batch size: 256 | lm loss: 2.726611E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.374 | TFLOPs: 35.01 | 7: iteration 4650/ 11269 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.48 | learning rate: 1.360E-04 | global batch size: 256 | lm loss: 2.683640E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.556 | TFLOPs: 35.03 | 7: iteration 4660/ 11269 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.48 | learning rate: 1.358E-04 | global batch size: 256 | lm loss: 2.682582E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.583 | 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elapsed time per iteration (s): 0.48 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 2.641556E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.263 | TFLOPs: 35.07 | 7: iteration 4850/ 11269 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 0.48 | learning rate: 1.311E-04 | global batch size: 256 | lm loss: 2.675724E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.682 | TFLOPs: 34.90 | 7: iteration 4860/ 11269 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 0.48 | learning rate: 1.309E-04 | global batch size: 256 | lm loss: 2.709182E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.329 | TFLOPs: 34.75 | 7: iteration 4870/ 11269 | consumed samples: 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iteration 4900/ 11269 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.48 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 2.655751E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.757 | TFLOPs: 34.84 | 7: iteration 4910/ 11269 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.48 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 2.643072E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.319 | TFLOPs: 35.01 | 7: iteration 4920/ 11269 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.48 | learning rate: 1.294E-04 | global batch size: 256 | lm loss: 2.692296E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.474 | TFLOPs: 34.82 | 7: iteration 4930/ 11269 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.48 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.667882E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.159 | TFLOPs: 35.06 | 7: iteration 4940/ 11269 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.48 | learning rate: 1.289E-04 | global batch size: 256 | lm loss: 2.678878E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.759 | TFLOPs: 35.04 | 7: iteration 4950/ 11269 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.48 | learning rate: 1.286E-04 | global batch size: 256 | lm loss: 2.703685E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.463 | TFLOPs: 35.02 | 7: iteration 4960/ 11269 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.48 | learning rate: 1.284E-04 | global batch size: 256 | lm loss: 2.671183E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.801 | TFLOPs: 34.84 | 7: iteration 4970/ 11269 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.48 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 2.665305E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.622 | TFLOPs: 34.64 | 7: iteration 4980/ 11269 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.48 | learning rate: 1.279E-04 | global batch size: 256 | lm loss: 2.680545E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.322 | TFLOPs: 35.08 | 7: iteration 4990/ 11269 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.47 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.658217E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.456 | TFLOPs: 35.35 | 7: iteration 5000/ 11269 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.48 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 2.653764E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.768 | TFLOPs: 34.97 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 2.681519E+00 | lm loss PPL: 1.460727E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_280mcpu 0: [2022-11-25 21:41:28,182] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-25 21:41:28,185] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-25 21:41:28,296] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-25 21:41:28,297] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-25 21:41:28,323] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/layer_03-model_00-model_states.pt. 0: [2022-11-25 21:41:28,323] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] 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checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-25 21:41:28,840] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2022-11-25 21:41:28,863] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-25 21:41:28,863] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-25 21:41:28,863] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 1: [2022-11-25 21:41:28,875] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-25 21:41:28,875] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-25 21:41:28,875] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 1: [2022-11-25 21:41:28,881] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-25 21:41:28,881] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-25 21:41:28,881] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-25 21:41:28,884] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-25 21:41:28,884] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-25 21:41:28,885] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-25 21:41:28,885] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 1: [2022-11-25 21:41:28,885] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 21:41:28,885] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 21:41:28,885] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 1: [2022-11-25 21:41:28,889] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-25 21:41:28,927] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-25 21:41:28,936] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-25 21:41:28,936] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-25 21:41:28,936] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 759.06 7: iteration 5010/ 11269 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.56 | learning rate: 1.272E-04 | global batch size: 256 | lm loss: 2.664285E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.675 | TFLOPs: 29.67 | 7: iteration 5020/ 11269 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.48 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 2.643826E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.607 | TFLOPs: 34.57 | 7: iteration 5030/ 11269 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.48 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.658626E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.887 | TFLOPs: 34.79 | 7: iteration 5040/ 11269 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.48 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 2.637430E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.009 | TFLOPs: 35.05 | 7: iteration 5050/ 11269 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.48 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 2.631349E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.139 | TFLOPs: 35.00 | 7: iteration 5060/ 11269 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.48 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 2.638519E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.968 | TFLOPs: 35.05 | 7: iteration 5070/ 11269 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.48 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.659976E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.318 | TFLOPs: 35.14 | 7: iteration 5080/ 11269 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.48 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.682901E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.093 | TFLOPs: 34.93 | 7: iteration 5090/ 11269 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.48 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.660599E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.086 | TFLOPs: 34.54 | 7: iteration 5100/ 11269 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.48 | learning rate: 1.249E-04 | global batch size: 256 | lm loss: 2.690271E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.188 | TFLOPs: 34.74 | 7: iteration 5110/ 11269 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.48 | learning rate: 1.247E-04 | global batch size: 256 | lm loss: 2.668454E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.401 | TFLOPs: 35.15 | 7: iteration 5120/ 11269 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.48 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 2.675087E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.210 | TFLOPs: 34.61 | 7: iteration 5130/ 11269 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.48 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 2.672120E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.024 | TFLOPs: 34.73 | 7: iteration 5140/ 11269 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.47 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 2.657571E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.890 | TFLOPs: 35.31 | 7: iteration 5150/ 11269 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.48 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 2.672308E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.170 | TFLOPs: 35.13 | 7: iteration 5160/ 11269 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.48 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 2.672119E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.110 | TFLOPs: 35.13 | 7: iteration 5170/ 11269 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.48 | learning rate: 1.232E-04 | global batch size: 256 | lm loss: 2.656705E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.380 | TFLOPs: 34.95 | 7: iteration 5180/ 11269 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.49 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 2.662016E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.984 | TFLOPs: 34.14 | 7: iteration 5190/ 11269 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.48 | learning rate: 1.227E-04 | global batch size: 256 | lm loss: 2.641257E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.658 | TFLOPs: 35.10 | 7: iteration 5200/ 11269 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.48 | learning rate: 1.224E-04 | global batch size: 256 | lm loss: 2.652629E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.465 | TFLOPs: 35.02 | 7: iteration 5210/ 11269 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.48 | learning rate: 1.221E-04 | global batch size: 256 | lm loss: 2.631895E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.228 | TFLOPs: 35.00 | 7: iteration 5220/ 11269 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.48 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.643275E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.706 | TFLOPs: 34.90 | 7: iteration 5230/ 11269 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.48 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.682584E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.303 | TFLOPs: 35.01 | 7: iteration 5240/ 11269 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.48 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 2.636927E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.374 | TFLOPs: 34.95 | 7: iteration 5250/ 11269 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.48 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 2.662017E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.047 | TFLOPs: 34.86 | 7: iteration 5260/ 11269 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.48 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 2.676815E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.325 | TFLOPs: 34.75 | 7: iteration 5270/ 11269 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.48 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.615693E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.569 | TFLOPs: 34.96 | 7: iteration 5280/ 11269 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.48 | learning rate: 1.204E-04 | global batch size: 256 | lm loss: 2.668753E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.961 | TFLOPs: 35.12 | 7: iteration 5290/ 11269 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.48 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.632226E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.883 | TFLOPs: 34.78 | 7: iteration 5300/ 11269 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.48 | learning rate: 1.199E-04 | global batch size: 256 | lm loss: 2.637878E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.167 | TFLOPs: 35.00 | 7: iteration 5310/ 11269 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.48 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 2.675174E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.469 | TFLOPs: 34.76 | 7: iteration 5320/ 11269 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.48 | learning rate: 1.194E-04 | global batch size: 256 | lm loss: 2.646531E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.435 | TFLOPs: 34.62 | 7: iteration 5330/ 11269 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.49 | learning rate: 1.191E-04 | global batch size: 256 | lm loss: 2.653011E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.717 | TFLOPs: 34.51 | 7: iteration 5340/ 11269 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.48 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 2.675173E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.399 | TFLOPs: 34.69 | 7: iteration 5350/ 11269 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.49 | learning rate: 1.186E-04 | global batch size: 256 | lm loss: 2.624027E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.724 | TFLOPs: 34.38 | 7: iteration 5360/ 11269 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.48 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 2.678029E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.780 | TFLOPs: 34.97 | 7: iteration 5370/ 11269 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.48 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 2.663469E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.829 | TFLOPs: 35.17 | 7: iteration 5380/ 11269 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.49 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 2.622090E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.499 | TFLOPs: 34.50 | 7: iteration 5390/ 11269 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.50 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.658307E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.420 | TFLOPs: 33.51 | 7: iteration 5400/ 11269 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.48 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.619592E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.936 | TFLOPs: 35.12 | 7: iteration 5410/ 11269 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.49 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.655215E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.714 | TFLOPs: 34.32 | 7: iteration 5420/ 11269 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.48 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 2.641120E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.996 | TFLOPs: 35.12 | 7: iteration 5430/ 11269 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.48 | learning rate: 1.166E-04 | global batch size: 256 | lm loss: 2.665192E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.774 | TFLOPs: 34.58 | 7: iteration 5440/ 11269 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.47 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 2.647088E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.324 | TFLOPs: 35.27 | 7: iteration 5450/ 11269 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.48 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 2.651951E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.337 | TFLOPs: 34.75 | 7: iteration 5460/ 11269 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.48 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 2.670540E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.622 | TFLOPs: 35.16 | 7: iteration 5470/ 11269 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.48 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 2.647638E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.789 | TFLOPs: 35.11 | 7: iteration 5480/ 11269 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.48 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 2.645853E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.609 | TFLOPs: 34.83 | 7: iteration 5490/ 11269 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.49 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.618018E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.475 | TFLOPs: 34.17 | 7: iteration 5500/ 11269 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.48 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 2.678154E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.165 | TFLOPs: 34.93 | 7: iteration 5510/ 11269 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.48 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.644091E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.406 | TFLOPs: 35.08 | 7: iteration 5520/ 11269 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.48 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 2.675306E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.001 | TFLOPs: 34.66 | 7: iteration 5530/ 11269 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.48 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 2.643635E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.077 | TFLOPs: 35.12 | 7: iteration 5540/ 11269 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.48 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 2.683995E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.342 | TFLOPs: 35.08 | 7: iteration 5550/ 11269 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.48 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 2.650560E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.506 | TFLOPs: 34.83 | 7: iteration 5560/ 11269 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.49 | learning rate: 1.133E-04 | global batch size: 256 | lm loss: 2.640148E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.035 | TFLOPs: 34.27 | 7: iteration 5570/ 11269 | consumed samples: 1425920 | consumed tokens: 2920284160 | elapsed time per iteration (s): 0.47 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.666381E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.854 | TFLOPs: 35.31 | 7: iteration 5580/ 11269 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.48 | learning rate: 1.128E-04 | global batch size: 256 | lm loss: 2.627692E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.648 | TFLOPs: 34.77 | 7: iteration 5590/ 11269 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.48 | learning rate: 1.126E-04 | global batch size: 256 | lm loss: 2.638563E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.191 | TFLOPs: 35.13 | 7: iteration 5600/ 11269 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.48 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 2.623998E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.844 | TFLOPs: 34.72 | 7: iteration 5610/ 11269 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.47 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 2.678088E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.993 | TFLOPs: 35.32 | 7: iteration 5620/ 11269 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.47 | learning rate: 1.118E-04 | global batch size: 256 | lm loss: 2.627155E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.778 | TFLOPs: 35.30 | 7: iteration 5630/ 11269 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.48 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.676964E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.627 | TFLOPs: 34.83 | 7: iteration 5640/ 11269 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.48 | learning rate: 1.113E-04 | global batch size: 256 | lm loss: 2.596623E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.796 | TFLOPs: 34.91 | 7: iteration 5650/ 11269 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.48 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 2.647384E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.618 | TFLOPs: 34.96 | 7: iteration 5660/ 11269 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.48 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 2.629322E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.240 | TFLOPs: 34.81 | 7: iteration 5670/ 11269 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.48 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 2.666292E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.853 | TFLOPs: 34.85 | 7: iteration 5680/ 11269 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.48 | learning rate: 1.103E-04 | global batch size: 256 | lm loss: 2.648401E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.980 | TFLOPs: 34.79 | 7: iteration 5690/ 11269 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.48 | learning rate: 1.100E-04 | global batch size: 256 | lm loss: 2.689518E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.434 | TFLOPs: 34.89 | 7: iteration 5700/ 11269 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.48 | learning rate: 1.098E-04 | global batch size: 256 | lm loss: 2.665260E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.229 | TFLOPs: 35.00 | 7: iteration 5710/ 11269 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.48 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 2.634866E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.239 | TFLOPs: 34.94 | 7: iteration 5720/ 11269 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.47 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 2.617080E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.055 | TFLOPs: 35.32 | 7: iteration 5730/ 11269 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.48 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.663321E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.943 | TFLOPs: 35.18 | 7: iteration 5740/ 11269 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.48 | learning rate: 1.088E-04 | global batch size: 256 | lm loss: 2.634046E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.805 | TFLOPs: 35.04 | 7: iteration 5750/ 11269 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.48 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 2.594745E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.161 | TFLOPs: 34.93 | 7: iteration 5760/ 11269 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.48 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 2.632357E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.546 | TFLOPs: 34.89 | 7: iteration 5770/ 11269 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.48 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 2.624111E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.099 | TFLOPs: 35.13 | 7: iteration 5780/ 11269 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.48 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.624792E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.489 | TFLOPs: 34.82 | 7: iteration 5790/ 11269 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.48 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 2.639010E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.358 | TFLOPs: 34.69 | 7: iteration 5800/ 11269 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.48 | learning rate: 1.072E-04 | global batch size: 256 | lm loss: 2.657705E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.409 | TFLOPs: 34.88 | 7: iteration 5810/ 11269 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.49 | learning rate: 1.070E-04 | global batch size: 256 | lm loss: 2.624074E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.153 | TFLOPs: 34.02 | 7: iteration 5820/ 11269 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.48 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 2.654688E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.687 | TFLOPs: 34.90 | 7: iteration 5830/ 11269 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.48 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 2.621647E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.445 | TFLOPs: 34.69 | 7: iteration 5840/ 11269 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.48 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.639957E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.793 | TFLOPs: 34.78 | 7: iteration 5850/ 11269 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 0.48 | learning rate: 1.060E-04 | global batch size: 256 | lm loss: 2.646408E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.712 | TFLOPs: 35.04 | 7: iteration 5860/ 11269 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.48 | learning rate: 1.057E-04 | global batch size: 256 | lm loss: 2.637104E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.651 | TFLOPs: 35.03 | 7: iteration 5870/ 11269 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.48 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 2.639072E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.817 | TFLOPs: 34.98 | 7: iteration 5880/ 11269 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.48 | learning rate: 1.052E-04 | global batch size: 256 | lm loss: 2.634971E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.657 | TFLOPs: 34.57 | 7: iteration 5890/ 11269 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.48 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 2.595209E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.491 | TFLOPs: 34.89 | 7: iteration 5900/ 11269 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.48 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 2.607697E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.438 | TFLOPs: 34.89 | 7: iteration 5910/ 11269 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.48 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 2.628790E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.158 | TFLOPs: 34.67 | 7: iteration 5920/ 11269 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 0.48 | learning rate: 1.042E-04 | global batch size: 256 | lm loss: 2.648265E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.010 | TFLOPs: 34.99 | 7: iteration 5930/ 11269 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 0.49 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 2.625488E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.350 | TFLOPs: 34.03 | 7: iteration 5940/ 11269 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.48 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 2.630339E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.234 | TFLOPs: 35.07 | 7: iteration 5950/ 11269 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.48 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 2.639078E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.685 | TFLOPs: 35.16 | 7: iteration 5960/ 11269 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.48 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 2.634944E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.364 | TFLOPs: 35.01 | 7: iteration 5970/ 11269 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.48 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 2.673994E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.883 | TFLOPs: 35.18 | 7: iteration 5980/ 11269 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.48 | learning rate: 1.027E-04 | global batch size: 256 | lm loss: 2.635169E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.162 | TFLOPs: 35.20 | 7: iteration 5990/ 11269 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.48 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 2.641284E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.304 | TFLOPs: 35.20 | 0: [2022-11-25 21:49:29,043] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00010217547488893524, 0.00010217547488893524, 0.00010217547488893524], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 11269 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.49 | learning rate: 1.022E-04 | global batch size: 256 | lm loss: 2.630149E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.516 | TFLOPs: 34.30 | 0: steps: 6000 loss: 2.6406 iter time (s): 0.478 samples/sec: 535.418 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 2.649355E+00 | lm loss PPL: 1.414491E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_280mcpu 0: [2022-11-25 21:49:29,232] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-25 21:49:29,236] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-25 21:49:29,346] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-25 21:49:29,347] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step6000/layer_03-model_00-model_states.pt... 0: [2022-11-25 21:49:29,372] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step6000/layer_03-model_00-model_states.pt. 0: [2022-11-25 21:49:29,372] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] 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1.017E-04 | global batch size: 256 | lm loss: 2.617980E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.031 | TFLOPs: 33.81 | 7: iteration 6030/ 11269 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.50 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 2.613178E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.106 | TFLOPs: 33.62 | 7: iteration 6040/ 11269 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.48 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 2.658087E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.199 | TFLOPs: 34.74 | 7: iteration 6050/ 11269 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.48 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.602688E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.112 | TFLOPs: 34.93 | 7: iteration 6060/ 11269 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.48 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 2.612511E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.410 | TFLOPs: 34.82 | 7: iteration 6070/ 11269 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.54 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.648431E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 473.301 | TFLOPs: 30.95 | 7: iteration 6080/ 11269 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.48 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 2.639334E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.824 | TFLOPs: 34.91 | 7: iteration 6090/ 11269 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.49 | learning rate: 9.991E-05 | global batch size: 256 | lm loss: 2.617604E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.526 | TFLOPs: 34.37 | 7: iteration 6100/ 11269 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.48 | learning rate: 9.965E-05 | global batch size: 256 | lm loss: 2.641151E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.900 | TFLOPs: 34.72 | 7: iteration 6110/ 11269 | 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TFLOPs: 35.04 | 7: iteration 6140/ 11269 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.48 | learning rate: 9.865E-05 | global batch size: 256 | lm loss: 2.611812E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.888 | TFLOPs: 35.11 | 7: iteration 6150/ 11269 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.48 | learning rate: 9.840E-05 | global batch size: 256 | lm loss: 2.614158E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.991 | TFLOPs: 34.92 | 7: iteration 6160/ 11269 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.48 | learning rate: 9.815E-05 | global batch size: 256 | lm loss: 2.604217E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.327 | TFLOPs: 34.75 | 7: iteration 6170/ 11269 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.48 | learning rate: 9.789E-05 | global batch size: 256 | lm loss: 2.613047E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.890 | TFLOPs: 34.65 | 7: iteration 6180/ 11269 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.48 | learning rate: 9.764E-05 | global batch size: 256 | lm loss: 2.600519E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.083 | TFLOPs: 34.67 | 7: iteration 6190/ 11269 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.48 | learning rate: 9.739E-05 | global batch size: 256 | lm loss: 2.634316E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.539 | TFLOPs: 34.83 | 7: iteration 6200/ 11269 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.48 | learning rate: 9.714E-05 | global batch size: 256 | lm loss: 2.621107E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.576 | TFLOPs: 35.09 | 7: iteration 6210/ 11269 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.50 | learning rate: 9.689E-05 | global batch size: 256 | lm loss: 2.655540E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 516.895 | TFLOPs: 33.80 | 7: iteration 6220/ 11269 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.49 | learning rate: 9.664E-05 | global batch size: 256 | lm loss: 2.631284E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.880 | TFLOPs: 34.39 | 7: iteration 6230/ 11269 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.48 | learning rate: 9.639E-05 | global batch size: 256 | lm loss: 2.647594E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.801 | TFLOPs: 35.17 | 7: iteration 6240/ 11269 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 0.49 | learning rate: 9.614E-05 | global batch size: 256 | lm loss: 2.644228E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.689 | TFLOPs: 34.25 | 7: iteration 6250/ 11269 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.48 | learning rate: 9.589E-05 | global batch size: 256 | lm loss: 2.602946E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.572 | TFLOPs: 34.63 | 7: iteration 6260/ 11269 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.48 | learning rate: 9.564E-05 | global batch size: 256 | lm loss: 2.639394E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.349 | TFLOPs: 35.21 | 7: iteration 6270/ 11269 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.48 | learning rate: 9.539E-05 | global batch size: 256 | lm loss: 2.610327E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.075 | TFLOPs: 34.60 | 7: iteration 6280/ 11269 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.48 | learning rate: 9.514E-05 | global batch size: 256 | lm loss: 2.606168E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.088 | TFLOPs: 35.13 | 7: iteration 6290/ 11269 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.48 | learning rate: 9.489E-05 | global batch size: 256 | lm loss: 2.600177E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.606 | TFLOPs: 35.16 | 7: iteration 6300/ 11269 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.48 | learning rate: 9.464E-05 | global batch size: 256 | lm loss: 2.608599E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.136 | TFLOPs: 35.06 | 7: iteration 6310/ 11269 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.48 | learning rate: 9.439E-05 | global batch size: 256 | lm loss: 2.595931E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.796 | TFLOPs: 34.71 | 7: iteration 6320/ 11269 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.48 | learning rate: 9.414E-05 | global batch size: 256 | lm loss: 2.619126E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.434 | TFLOPs: 35.08 | 7: iteration 6330/ 11269 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.50 | learning rate: 9.389E-05 | global batch size: 256 | lm loss: 2.648618E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.646 | TFLOPs: 33.46 | 7: iteration 6340/ 11269 | consumed samples: 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iteration 6370/ 11269 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.48 | learning rate: 9.289E-05 | global batch size: 256 | lm loss: 2.631093E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.883 | TFLOPs: 35.11 | 7: iteration 6380/ 11269 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 0.48 | learning rate: 9.264E-05 | global batch size: 256 | lm loss: 2.596328E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.745 | TFLOPs: 34.84 | 7: iteration 6390/ 11269 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.49 | learning rate: 9.240E-05 | global batch size: 256 | lm loss: 2.606884E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.456 | TFLOPs: 34.23 | 7: iteration 6400/ 11269 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.49 | learning rate: 9.215E-05 | global batch size: 256 | lm loss: 2.606343E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.586 | TFLOPs: 34.05 | 7: iteration 6410/ 11269 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 0.48 | learning rate: 9.190E-05 | global batch size: 256 | lm loss: 2.630524E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.371 | TFLOPs: 35.08 | 7: iteration 6420/ 11269 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 0.50 | learning rate: 9.165E-05 | global batch size: 256 | lm loss: 2.586150E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.466 | TFLOPs: 33.45 | 7: iteration 6430/ 11269 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 0.49 | learning rate: 9.140E-05 | global batch size: 256 | lm loss: 2.607280E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.846 | TFLOPs: 34.13 | 7: iteration 6440/ 11269 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.48 | learning rate: 9.115E-05 | global batch size: 256 | lm loss: 2.613060E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.760 | TFLOPs: 34.84 | 7: iteration 6450/ 11269 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 0.48 | learning rate: 9.091E-05 | global batch size: 256 | lm loss: 2.606221E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.333 | TFLOPs: 34.62 | 7: iteration 6460/ 11269 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 0.48 | learning rate: 9.066E-05 | global batch size: 256 | lm loss: 2.570133E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.429 | TFLOPs: 35.02 | 7: iteration 6470/ 11269 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.48 | learning rate: 9.041E-05 | global batch size: 256 | lm loss: 2.588335E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.145 | TFLOPs: 35.13 | 7: iteration 6480/ 11269 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.48 | learning rate: 9.016E-05 | global batch size: 256 | lm loss: 2.616825E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.841 | TFLOPs: 35.11 | 7: iteration 6490/ 11269 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.48 | learning rate: 8.992E-05 | global batch size: 256 | lm loss: 2.598118E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.117 | TFLOPs: 35.13 | 7: iteration 6500/ 11269 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.48 | learning rate: 8.967E-05 | global batch size: 256 | lm loss: 2.576383E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.323 | TFLOPs: 35.01 | 7: iteration 6510/ 11269 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.48 | learning rate: 8.942E-05 | global batch size: 256 | lm loss: 2.608347E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.443 | TFLOPs: 35.02 | 7: iteration 6520/ 11269 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 0.48 | learning rate: 8.918E-05 | global batch size: 256 | lm loss: 2.621248E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.786 | TFLOPs: 34.78 | 7: iteration 6530/ 11269 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.48 | learning rate: 8.893E-05 | global batch size: 256 | lm loss: 2.585021E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.770 | TFLOPs: 34.65 | 7: iteration 6540/ 11269 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.48 | learning rate: 8.868E-05 | global batch size: 256 | lm loss: 2.591032E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.256 | TFLOPs: 35.07 | 7: iteration 6550/ 11269 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.48 | learning rate: 8.844E-05 | global batch size: 256 | lm loss: 2.621392E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.222 | TFLOPs: 35.00 | 7: iteration 6560/ 11269 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.48 | learning rate: 8.819E-05 | global batch size: 256 | lm loss: 2.606228E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.107 | TFLOPs: 35.00 | 7: iteration 6570/ 11269 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.48 | learning rate: 8.795E-05 | global batch size: 256 | lm loss: 2.606206E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.999 | TFLOPs: 34.86 | 7: iteration 6580/ 11269 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.48 | learning rate: 8.770E-05 | global batch size: 256 | lm loss: 2.615308E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.278 | TFLOPs: 35.01 | 7: iteration 6590/ 11269 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.48 | learning rate: 8.746E-05 | global batch size: 256 | lm loss: 2.602205E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.809 | TFLOPs: 34.98 | 7: iteration 6600/ 11269 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.48 | learning rate: 8.721E-05 | global batch size: 256 | lm loss: 2.602823E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.476 | TFLOPs: 34.95 | 7: iteration 6610/ 11269 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.48 | learning rate: 8.697E-05 | global batch size: 256 | lm loss: 2.605812E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.293 | TFLOPs: 34.88 | 7: iteration 6620/ 11269 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.48 | learning rate: 8.672E-05 | global batch size: 256 | lm loss: 2.578978E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.434 | TFLOPs: 34.69 | 7: iteration 6630/ 11269 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.48 | learning rate: 8.648E-05 | global batch size: 256 | lm loss: 2.609834E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.010 | TFLOPs: 34.99 | 7: iteration 6640/ 11269 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.49 | learning rate: 8.623E-05 | global batch size: 256 | lm loss: 2.581196E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.261 | TFLOPs: 33.83 | 7: iteration 6650/ 11269 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.48 | learning rate: 8.599E-05 | global batch size: 256 | lm loss: 2.567898E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.636 | TFLOPs: 35.23 | 7: iteration 6660/ 11269 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.48 | learning rate: 8.574E-05 | global batch size: 256 | lm loss: 2.622252E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.331 | TFLOPs: 34.95 | 7: iteration 6670/ 11269 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.48 | learning rate: 8.550E-05 | global batch size: 256 | lm loss: 2.586456E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.501 | TFLOPs: 35.02 | 7: iteration 6680/ 11269 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.48 | learning rate: 8.525E-05 | global batch size: 256 | lm loss: 2.579794E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.981 | TFLOPs: 35.12 | 7: iteration 6690/ 11269 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.48 | learning rate: 8.501E-05 | global batch size: 256 | lm loss: 2.598439E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.831 | TFLOPs: 34.65 | 7: iteration 6700/ 11269 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.47 | learning rate: 8.477E-05 | global batch size: 256 | lm loss: 2.604791E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.423 | TFLOPs: 35.28 | 7: iteration 6710/ 11269 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.50 | learning rate: 8.452E-05 | global batch size: 256 | lm loss: 2.620098E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.752 | TFLOPs: 33.66 | 7: iteration 6720/ 11269 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.48 | learning rate: 8.428E-05 | global batch size: 256 | lm loss: 2.575998E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.049 | TFLOPs: 34.80 | 7: iteration 6730/ 11269 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 0.49 | learning rate: 8.404E-05 | global batch size: 256 | lm loss: 2.622257E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.078 | TFLOPs: 34.41 | 7: iteration 6740/ 11269 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.50 | learning rate: 8.380E-05 | global batch size: 256 | lm loss: 2.598026E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.132 | TFLOPs: 33.49 | 7: iteration 6750/ 11269 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.48 | learning rate: 8.355E-05 | global batch size: 256 | lm loss: 2.575069E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.307 | TFLOPs: 35.14 | 7: iteration 6760/ 11269 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 0.49 | learning rate: 8.331E-05 | global batch size: 256 | lm loss: 2.595128E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.976 | TFLOPs: 34.46 | 7: iteration 6770/ 11269 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 0.47 | 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.263 | TFLOPs: 34.88 | 7: iteration 6950/ 11269 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.48 | learning rate: 7.875E-05 | global batch size: 256 | lm loss: 2.574149E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.000 | TFLOPs: 34.86 | 7: iteration 6960/ 11269 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.50 | learning rate: 7.852E-05 | global batch size: 256 | lm loss: 2.618488E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.709 | TFLOPs: 33.73 | 7: iteration 6970/ 11269 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.48 | learning rate: 7.828E-05 | global batch size: 256 | lm loss: 2.578724E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.145 | TFLOPs: 35.00 | 7: iteration 6980/ 11269 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.48 | learning rate: 7.804E-05 | global batch size: 256 | lm loss: 2.558242E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.285 | TFLOPs: 35.01 | 7: iteration 6990/ 11269 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.48 | learning rate: 7.780E-05 | global batch size: 256 | lm loss: 2.613503E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.961 | TFLOPs: 35.05 | 7: iteration 7000/ 11269 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.48 | learning rate: 7.757E-05 | global batch size: 256 | lm loss: 2.598276E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.233 | TFLOPs: 35.00 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 2.546631E+00 | lm loss PPL: 1.276403E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_280mcpu 0: [2022-11-25 21:57:32,339] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-25 21:57:32,343] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-25 21:57:32,456] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/layer_01-model_00-model_states.pt. 0: 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 21:57:32,980] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-25 21:57:32,981] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 7: [2022-11-25 21:57:32,978] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 1: [2022-11-25 21:57:32,982] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 7: [2022-11-25 21:57:32,978] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 1: [2022-11-25 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checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 21:57:33,011] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2022-11-25 21:57:33,016] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-25 21:57:33,016] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-25 21:57:33,016] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2022-11-25 21:57:33,016] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-25 21:57:33,016] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-25 21:57:33,016] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2022-11-25 21:57:33,016] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-25 21:57:33,016] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-25 21:57:33,016] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-25 21:57:33,052] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-25 21:57:33,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-25 21:57:33,052] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-25 21:57:33,053] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-25 21:57:33,053] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-25 21:57:33,053] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-25 21:57:33,062] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-25 21:57:33,062] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-25 21:57:33,062] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-25 21:57:33,062] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-25 21:57:33,062] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-25 21:57:33,062] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-25 21:57:33,073] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-25 21:57:33,073] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-25 21:57:33,073] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-25 21:57:33,073] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-25 21:57:33,073] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-25 21:57:33,073] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-25 21:57:33,080] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 21:57:33,080] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 744.70 7: iteration 7010/ 11269 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.57 | learning rate: 7.733E-05 | global batch size: 256 | lm loss: 2.571686E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.866 | TFLOPs: 29.49 | 7: iteration 7020/ 11269 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.49 | learning rate: 7.710E-05 | global batch size: 256 | lm loss: 2.622999E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.547 | TFLOPs: 34.50 | 7: iteration 7030/ 11269 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.50 | learning rate: 7.686E-05 | global batch size: 256 | lm loss: 2.561404E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.799 | TFLOPs: 33.60 | 7: iteration 7040/ 11269 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.49 | learning rate: 7.662E-05 | global batch size: 256 | lm loss: 2.601885E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.115 | TFLOPs: 34.34 | 7: iteration 7050/ 11269 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.50 | learning rate: 7.639E-05 | global batch size: 256 | lm loss: 2.601881E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 511.046 | TFLOPs: 33.42 | 7: iteration 7060/ 11269 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.48 | learning rate: 7.615E-05 | global batch size: 256 | lm loss: 2.572008E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.789 | TFLOPs: 35.17 | 7: iteration 7070/ 11269 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.48 | learning rate: 7.592E-05 | global batch size: 256 | lm loss: 2.589737E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.307 | TFLOPs: 35.01 | 7: iteration 7080/ 11269 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.48 | learning rate: 7.569E-05 | global batch size: 256 | lm loss: 2.570206E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.185 | TFLOPs: 35.13 | 7: iteration 7090/ 11269 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.48 | learning rate: 7.545E-05 | global batch size: 256 | lm loss: 2.594903E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.031 | TFLOPs: 35.12 | 7: iteration 7100/ 11269 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.48 | learning rate: 7.522E-05 | global batch size: 256 | lm loss: 2.556957E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.305 | TFLOPs: 35.14 | 7: iteration 7110/ 11269 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.48 | learning rate: 7.498E-05 | global batch size: 256 | lm loss: 2.615387E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.768 | TFLOPs: 34.91 | 7: iteration 7120/ 11269 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.48 | learning rate: 7.475E-05 | global batch size: 256 | lm loss: 2.577015E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.896 | TFLOPs: 35.18 | 7: iteration 7130/ 11269 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.47 | learning rate: 7.452E-05 | global batch size: 256 | lm loss: 2.597958E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.202 | TFLOPs: 35.26 | 7: iteration 7140/ 11269 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.48 | learning rate: 7.428E-05 | global batch size: 256 | lm loss: 2.576089E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.617 | TFLOPs: 34.96 | 7: iteration 7150/ 11269 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.48 | learning rate: 7.405E-05 | global batch size: 256 | lm loss: 2.583586E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.181 | TFLOPs: 35.00 | 7: iteration 7160/ 11269 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.48 | learning rate: 7.382E-05 | global batch size: 256 | lm loss: 2.608344E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.209 | TFLOPs: 35.07 | 7: iteration 7170/ 11269 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.48 | learning rate: 7.359E-05 | global batch size: 256 | lm loss: 2.610265E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.582 | TFLOPs: 35.03 | 7: iteration 7180/ 11269 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.49 | learning rate: 7.336E-05 | global batch size: 256 | lm loss: 2.590388E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.150 | TFLOPs: 34.21 | 7: iteration 7190/ 11269 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.48 | learning rate: 7.313E-05 | global batch size: 256 | lm loss: 2.563224E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.993 | TFLOPs: 34.99 | 7: iteration 7200/ 11269 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.49 | learning rate: 7.289E-05 | global batch size: 256 | lm loss: 2.569676E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.482 | TFLOPs: 34.10 | 7: iteration 7210/ 11269 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.47 | learning rate: 7.266E-05 | global batch size: 256 | lm loss: 2.585349E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.141 | TFLOPs: 35.33 | 7: iteration 7220/ 11269 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.47 | learning rate: 7.243E-05 | global batch size: 256 | lm loss: 2.580097E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.427 | TFLOPs: 35.28 | 7: iteration 7230/ 11269 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.48 | learning rate: 7.220E-05 | global batch size: 256 | lm loss: 2.590615E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.089 | TFLOPs: 34.93 | 7: iteration 7240/ 11269 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.48 | learning rate: 7.197E-05 | global batch size: 256 | lm loss: 2.600242E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.191 | TFLOPs: 35.13 | 7: iteration 7250/ 11269 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.48 | learning rate: 7.174E-05 | global batch size: 256 | lm loss: 2.613518E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.999 | TFLOPs: 34.73 | 7: iteration 7260/ 11269 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.48 | learning rate: 7.151E-05 | global batch size: 256 | lm loss: 2.558475E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.037 | TFLOPs: 35.06 | 7: iteration 7270/ 11269 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.48 | learning rate: 7.129E-05 | global batch size: 256 | lm loss: 2.599473E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.178 | TFLOPs: 34.94 | 7: iteration 7280/ 11269 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.48 | learning rate: 7.106E-05 | global batch size: 256 | lm loss: 2.604999E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.751 | TFLOPs: 34.91 | 7: iteration 7290/ 11269 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.48 | learning rate: 7.083E-05 | global batch size: 256 | lm loss: 2.591540E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.983 | TFLOPs: 35.12 | 7: iteration 7300/ 11269 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.48 | learning rate: 7.060E-05 | global batch size: 256 | lm loss: 2.599156E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.304 | TFLOPs: 34.81 | 7: iteration 7310/ 11269 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.47 | learning rate: 7.037E-05 | global batch size: 256 | lm loss: 2.586106E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.341 | TFLOPs: 35.34 | 7: iteration 7320/ 11269 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.49 | learning rate: 7.014E-05 | global batch size: 256 | lm loss: 2.572681E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.769 | TFLOPs: 34.39 | 7: iteration 7330/ 11269 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.48 | learning rate: 6.992E-05 | global batch size: 256 | lm loss: 2.588368E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.867 | TFLOPs: 35.24 | 7: iteration 7340/ 11269 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.48 | learning rate: 6.969E-05 | global batch size: 256 | lm loss: 2.556401E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.705 | TFLOPs: 34.97 | 7: iteration 7350/ 11269 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.48 | learning rate: 6.946E-05 | global batch size: 256 | lm loss: 2.577078E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.578 | TFLOPs: 34.83 | 7: iteration 7360/ 11269 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.50 | learning rate: 6.924E-05 | global batch size: 256 | lm loss: 2.594313E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.680 | TFLOPs: 33.40 | 7: iteration 7370/ 11269 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.48 | learning rate: 6.901E-05 | global batch size: 256 | lm loss: 2.575928E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.585 | TFLOPs: 34.70 | 7: iteration 7380/ 11269 | consumed samples: 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iteration 7410/ 11269 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.48 | learning rate: 6.811E-05 | global batch size: 256 | lm loss: 2.595308E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.299 | TFLOPs: 34.94 | 7: iteration 7420/ 11269 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.48 | learning rate: 6.789E-05 | global batch size: 256 | lm loss: 2.545747E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.941 | TFLOPs: 34.98 | 7: iteration 7430/ 11269 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.47 | learning rate: 6.766E-05 | global batch size: 256 | lm loss: 2.576559E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.588 | TFLOPs: 35.35 | 7: iteration 7440/ 11269 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.49 | learning rate: 6.744E-05 | global batch size: 256 | lm loss: 2.527263E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 527.354 | TFLOPs: 34.49 | 7: iteration 7450/ 11269 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.49 | learning rate: 6.722E-05 | global batch size: 256 | lm loss: 2.575088E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.161 | TFLOPs: 34.15 | 7: iteration 7460/ 11269 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.48 | learning rate: 6.700E-05 | global batch size: 256 | lm loss: 2.586980E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.006 | TFLOPs: 34.53 | 7: iteration 7470/ 11269 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.48 | learning rate: 6.677E-05 | global batch size: 256 | lm loss: 2.550972E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.328 | TFLOPs: 35.14 | 7: iteration 7480/ 11269 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 0.48 | learning rate: 6.655E-05 | global batch size: 256 | lm loss: 2.550182E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.817 | TFLOPs: 35.17 | 7: iteration 7490/ 11269 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 0.47 | learning rate: 6.633E-05 | global batch size: 256 | lm loss: 2.582326E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.207 | TFLOPs: 35.26 | 7: iteration 7500/ 11269 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 0.48 | learning rate: 6.611E-05 | global batch size: 256 | lm loss: 2.543626E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.209 | TFLOPs: 35.13 | 7: iteration 7510/ 11269 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 0.47 | learning rate: 6.589E-05 | global batch size: 256 | lm loss: 2.552120E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.283 | TFLOPs: 35.33 | 7: iteration 7520/ 11269 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 0.48 | learning rate: 6.567E-05 | global batch size: 256 | lm loss: 2.597608E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.290 | TFLOPs: 34.81 | 7: iteration 7530/ 11269 | consumed samples: 1927680 | consumed tokens: 3947888640 | elapsed time per iteration (s): 0.48 | learning rate: 6.545E-05 | global batch size: 256 | lm loss: 2.599110E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.742 | TFLOPs: 35.04 | 7: iteration 7540/ 11269 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.48 | learning rate: 6.523E-05 | global batch size: 256 | lm loss: 2.582386E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.366 | TFLOPs: 35.08 | 7: iteration 7550/ 11269 | consumed samples: 1932800 | consumed tokens: 3958374400 | elapsed time per iteration (s): 0.47 | learning rate: 6.501E-05 | global batch size: 256 | lm loss: 2.557654E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.324 | TFLOPs: 35.34 | 7: iteration 7560/ 11269 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.48 | learning rate: 6.479E-05 | global batch size: 256 | lm loss: 2.558841E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.673 | TFLOPs: 35.03 | 7: iteration 7570/ 11269 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.47 | learning rate: 6.457E-05 | global batch size: 256 | lm loss: 2.570291E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.001 | TFLOPs: 35.32 | 7: iteration 7580/ 11269 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.48 | learning rate: 6.435E-05 | global batch size: 256 | lm loss: 2.592519E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.710 | TFLOPs: 34.97 | 7: iteration 7590/ 11269 | consumed samples: 1943040 | consumed tokens: 3979345920 | elapsed time per iteration (s): 0.50 | learning rate: 6.413E-05 | global batch size: 256 | lm loss: 2.595887E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 513.202 | TFLOPs: 33.56 | 7: iteration 7600/ 11269 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 0.47 | learning rate: 6.391E-05 | global batch size: 256 | lm loss: 2.561718E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.112 | TFLOPs: 35.32 | 7: iteration 7610/ 11269 | consumed samples: 1948160 | consumed tokens: 3989831680 | elapsed time per iteration (s): 0.48 | learning rate: 6.370E-05 | global batch size: 256 | lm loss: 2.610435E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.708 | TFLOPs: 34.97 | 7: iteration 7620/ 11269 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 0.49 | learning rate: 6.348E-05 | global batch size: 256 | lm loss: 2.530597E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.378 | TFLOPs: 34.16 | 7: iteration 7630/ 11269 | consumed samples: 1953280 | consumed tokens: 4000317440 | elapsed time per iteration (s): 0.48 | learning rate: 6.326E-05 | global batch size: 256 | lm loss: 2.554110E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.648 | TFLOPs: 35.23 | 7: iteration 7640/ 11269 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 0.48 | learning rate: 6.305E-05 | global batch size: 256 | lm loss: 2.585109E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.003 | TFLOPs: 35.12 | 7: iteration 7650/ 11269 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.50 | learning rate: 6.283E-05 | global batch size: 256 | lm loss: 2.580153E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.463 | TFLOPs: 33.71 | 7: iteration 7660/ 11269 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.48 | learning rate: 6.261E-05 | global batch size: 256 | lm loss: 2.531809E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.341 | TFLOPs: 35.08 | 7: iteration 7670/ 11269 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.48 | learning rate: 6.240E-05 | global batch size: 256 | lm loss: 2.568994E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.192 | TFLOPs: 35.07 | 7: iteration 7680/ 11269 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.48 | learning rate: 6.218E-05 | global batch size: 256 | lm loss: 2.556535E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.186 | TFLOPs: 34.94 | 7: iteration 7690/ 11269 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.48 | learning rate: 6.197E-05 | global batch size: 256 | lm loss: 2.588805E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.543 | TFLOPs: 34.96 | 7: iteration 7700/ 11269 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.48 | learning rate: 6.175E-05 | global batch size: 256 | lm loss: 2.566091E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.166 | TFLOPs: 34.93 | 7: iteration 7710/ 11269 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 0.49 | learning rate: 6.154E-05 | global batch size: 256 | lm loss: 2.562288E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.081 | TFLOPs: 34.41 | 7: iteration 7720/ 11269 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 0.55 | learning rate: 6.133E-05 | global batch size: 256 | lm loss: 2.569289E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 466.801 | TFLOPs: 30.53 | 7: iteration 7730/ 11269 | consumed samples: 1978880 | consumed tokens: 4052746240 | elapsed time per iteration (s): 0.50 | learning rate: 6.111E-05 | global batch size: 256 | lm loss: 2.593861E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 507.658 | TFLOPs: 33.20 | 7: iteration 7740/ 11269 | consumed samples: 1981440 | consumed tokens: 4057989120 | elapsed time per iteration (s): 0.48 | learning rate: 6.090E-05 | global batch size: 256 | lm loss: 2.573549E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.743 | TFLOPs: 34.71 | 7: iteration 7750/ 11269 | consumed samples: 1984000 | consumed tokens: 4063232000 | elapsed time per iteration (s): 0.47 | learning rate: 6.069E-05 | global batch size: 256 | lm loss: 2.572858E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 539.682 | TFLOPs: 35.30 | 7: iteration 7760/ 11269 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 0.48 | learning rate: 6.048E-05 | global batch size: 256 | lm loss: 2.579025E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.320 | TFLOPs: 35.08 | 7: iteration 7770/ 11269 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 0.48 | learning rate: 6.027E-05 | global batch size: 256 | lm loss: 2.565983E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.111 | TFLOPs: 35.19 | 7: iteration 7780/ 11269 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 0.48 | learning rate: 6.006E-05 | global batch size: 256 | lm loss: 2.608767E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.344 | TFLOPs: 35.21 | 7: iteration 7790/ 11269 | consumed samples: 1994240 | consumed tokens: 4084203520 | elapsed time per iteration (s): 0.48 | learning rate: 5.984E-05 | global batch size: 256 | lm loss: 2.560260E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.474 | TFLOPs: 34.76 | 7: iteration 7800/ 11269 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 0.48 | learning rate: 5.963E-05 | global batch size: 256 | lm loss: 2.557834E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.148 | TFLOPs: 35.19 | 7: iteration 7810/ 11269 | consumed samples: 1999360 | consumed tokens: 4094689280 | elapsed time per iteration (s): 0.47 | learning rate: 5.942E-05 | global batch size: 256 | lm loss: 2.550264E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.338 | TFLOPs: 35.34 | 7: iteration 7820/ 11269 | consumed samples: 2001920 | consumed tokens: 4099932160 | elapsed time per iteration (s): 0.48 | learning rate: 5.922E-05 | global batch size: 256 | lm loss: 2.601084E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.500 | TFLOPs: 35.09 | 7: iteration 7830/ 11269 | consumed samples: 2004480 | consumed tokens: 4105175040 | elapsed time per iteration (s): 0.49 | learning rate: 5.901E-05 | global batch size: 256 | lm loss: 2.552403E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.185 | TFLOPs: 33.82 | 7: iteration 7840/ 11269 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 0.48 | learning rate: 5.880E-05 | global batch size: 256 | lm loss: 2.548205E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.340 | TFLOPs: 35.14 | 7: iteration 7850/ 11269 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.47 | learning rate: 5.859E-05 | global batch size: 256 | lm loss: 2.591083E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 540.655 | TFLOPs: 35.36 | 7: iteration 7860/ 11269 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 0.48 | learning rate: 5.838E-05 | global batch size: 256 | lm loss: 2.551508E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.463 | TFLOPs: 34.82 | 7: iteration 7870/ 11269 | consumed samples: 2014720 | consumed tokens: 4126146560 | elapsed time per iteration (s): 0.48 | learning rate: 5.817E-05 | global batch size: 256 | lm loss: 2.577093E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.296 | TFLOPs: 35.20 | 7: iteration 7880/ 11269 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 0.48 | learning rate: 5.797E-05 | global batch size: 256 | lm loss: 2.556174E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.952 | TFLOPs: 35.12 | 7: iteration 7890/ 11269 | consumed samples: 2019840 | consumed tokens: 4136632320 | elapsed time per iteration (s): 0.49 | learning rate: 5.776E-05 | global batch size: 256 | lm loss: 2.560078E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.092 | TFLOPs: 34.41 | 7: iteration 7900/ 11269 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 0.48 | learning rate: 5.755E-05 | global batch size: 256 | lm loss: 2.535579E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.094 | TFLOPs: 34.93 | 7: iteration 7910/ 11269 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 0.48 | learning rate: 5.735E-05 | global batch size: 256 | lm loss: 2.584823E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.562 | TFLOPs: 34.96 | 7: iteration 7920/ 11269 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.48 | learning rate: 5.714E-05 | global batch size: 256 | lm loss: 2.545509E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.208 | TFLOPs: 34.74 | 7: iteration 7930/ 11269 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.48 | learning rate: 5.694E-05 | global batch size: 256 | lm loss: 2.591732E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.906 | TFLOPs: 35.18 | 7: iteration 7940/ 11269 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.49 | learning rate: 5.673E-05 | global batch size: 256 | lm loss: 2.530593E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.664 | TFLOPs: 34.31 | 7: iteration 7950/ 11269 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.48 | learning rate: 5.653E-05 | global batch size: 256 | lm loss: 2.536194E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.006 | TFLOPs: 34.86 | 7: iteration 7960/ 11269 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.49 | learning rate: 5.633E-05 | global batch size: 256 | lm loss: 2.608407E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.503 | TFLOPs: 34.37 | 7: iteration 7970/ 11269 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.48 | learning rate: 5.612E-05 | global batch size: 256 | lm loss: 2.570675E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.998 | TFLOPs: 34.66 | 7: iteration 7980/ 11269 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.53 | learning rate: 5.592E-05 | global batch size: 256 | lm loss: 2.561650E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 484.085 | TFLOPs: 31.66 | 7: iteration 7990/ 11269 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.61 | learning rate: 5.572E-05 | global batch size: 256 | lm loss: 2.598254E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 420.154 | TFLOPs: 27.48 | 0: [2022-11-25 22:05:36,151] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[5.551588445114958e-05, 5.551588445114958e-05, 5.551588445114958e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 8000/ 11269 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.49 | learning rate: 5.552E-05 | global batch size: 256 | lm loss: 2.561030E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 522.745 | TFLOPs: 34.19 | 0: steps: 8000 loss: 2.5563 iter time (s): 0.480 samples/sec: 533.534 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 2.532374E+00 | lm loss PPL: 1.258334E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_280mcpu 0: [2022-11-25 22:05:36,332] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-25 22:05:36,338] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step8000/layer_01-model_00-model_states.pt... 0: [2022-11-25 22:05:36,499] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step8000/layer_01-model_00-model_states.pt. 0: [2022-11-25 22:05:36,499] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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iteration 8130/ 11269 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.48 | learning rate: 5.293E-05 | global batch size: 256 | lm loss: 2.547206E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.190 | TFLOPs: 35.00 | 7: iteration 8140/ 11269 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.48 | learning rate: 5.273E-05 | global batch size: 256 | lm loss: 2.562514E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.453 | TFLOPs: 35.08 | 7: iteration 8150/ 11269 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.48 | learning rate: 5.254E-05 | global batch size: 256 | lm loss: 2.544394E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.251 | TFLOPs: 34.74 | 7: iteration 8160/ 11269 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.48 | learning rate: 5.234E-05 | global batch size: 256 | lm loss: 2.567895E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.847 | TFLOPs: 34.91 | 7: iteration 8170/ 11269 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.48 | learning rate: 5.215E-05 | global batch size: 256 | lm loss: 2.549285E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.888 | TFLOPs: 35.18 | 7: iteration 8180/ 11269 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.48 | learning rate: 5.196E-05 | global batch size: 256 | lm loss: 2.542685E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.830 | TFLOPs: 35.17 | 7: iteration 8190/ 11269 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.48 | learning rate: 5.176E-05 | global batch size: 256 | lm loss: 2.576598E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.374 | TFLOPs: 35.01 | 7: iteration 8200/ 11269 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.48 | learning rate: 5.157E-05 | global batch size: 256 | lm loss: 2.612299E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.549 | TFLOPs: 34.83 | 7: iteration 8210/ 11269 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.48 | learning rate: 5.138E-05 | global batch size: 256 | lm loss: 2.568214E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.675 | TFLOPs: 34.84 | 7: iteration 8220/ 11269 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.48 | learning rate: 5.119E-05 | global batch size: 256 | lm loss: 2.556603E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.106 | TFLOPs: 35.19 | 7: iteration 8230/ 11269 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.48 | learning rate: 5.099E-05 | global batch size: 256 | lm loss: 2.523947E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.193 | TFLOPs: 34.87 | 7: iteration 8240/ 11269 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.48 | learning rate: 5.080E-05 | global batch size: 256 | lm loss: 2.553195E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.666 | TFLOPs: 34.97 | 7: iteration 8250/ 11269 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 0.48 | learning rate: 5.061E-05 | global batch size: 256 | lm loss: 2.583763E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.847 | TFLOPs: 35.04 | 7: iteration 8260/ 11269 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 0.48 | learning rate: 5.042E-05 | global batch size: 256 | lm loss: 2.563334E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.334 | TFLOPs: 34.95 | 7: iteration 8270/ 11269 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 0.49 | learning rate: 5.023E-05 | global batch size: 256 | lm loss: 2.556040E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.783 | TFLOPs: 34.32 | 7: iteration 8280/ 11269 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.48 | learning rate: 5.004E-05 | global batch size: 256 | lm loss: 2.548906E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.616 | TFLOPs: 35.16 | 7: iteration 8290/ 11269 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.51 | learning rate: 4.985E-05 | global batch size: 256 | lm loss: 2.599805E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 505.536 | TFLOPs: 33.06 | 7: iteration 8300/ 11269 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.50 | learning rate: 4.967E-05 | global batch size: 256 | lm loss: 2.571730E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.023 | TFLOPs: 33.36 | 7: iteration 8310/ 11269 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.48 | learning rate: 4.948E-05 | global batch size: 256 | lm loss: 2.547770E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.866 | TFLOPs: 34.85 | 7: iteration 8320/ 11269 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.48 | learning rate: 4.929E-05 | global batch size: 256 | lm loss: 2.589984E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.855 | TFLOPs: 34.85 | 7: iteration 8330/ 11269 | consumed samples: 2132480 | consumed 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consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 0.48 | learning rate: 4.855E-05 | global batch size: 256 | lm loss: 2.567319E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.116 | TFLOPs: 35.00 | 7: iteration 8370/ 11269 | consumed samples: 2142720 | consumed tokens: 4388290560 | elapsed time per iteration (s): 0.48 | learning rate: 4.836E-05 | global batch size: 256 | lm loss: 2.522242E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.420 | TFLOPs: 34.89 | 7: iteration 8380/ 11269 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 0.48 | learning rate: 4.818E-05 | global batch size: 256 | lm loss: 2.552987E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.238 | TFLOPs: 34.81 | 7: iteration 8390/ 11269 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.48 | learning rate: 4.799E-05 | global batch size: 256 | lm loss: 2.545954E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.602 | TFLOPs: 35.03 | 7: iteration 8400/ 11269 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 0.48 | learning rate: 4.781E-05 | global batch size: 256 | lm loss: 2.524542E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.326 | TFLOPs: 34.94 | 7: iteration 8410/ 11269 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.48 | learning rate: 4.763E-05 | global batch size: 256 | lm loss: 2.507513E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.005 | TFLOPs: 34.99 | 7: iteration 8420/ 11269 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.49 | learning rate: 4.744E-05 | global batch size: 256 | lm loss: 2.534719E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.325 | TFLOPs: 34.23 | 7: iteration 8430/ 11269 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.48 | learning rate: 4.726E-05 | global batch size: 256 | lm loss: 2.565599E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.733 | TFLOPs: 35.04 | 7: iteration 8440/ 11269 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.48 | learning rate: 4.708E-05 | global batch size: 256 | lm loss: 2.543568E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.548 | TFLOPs: 35.16 | 7: iteration 8450/ 11269 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.48 | learning rate: 4.690E-05 | global batch size: 256 | lm loss: 2.554974E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.203 | TFLOPs: 35.20 | 7: iteration 8460/ 11269 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.48 | learning rate: 4.672E-05 | global batch size: 256 | lm loss: 2.577698E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.258 | TFLOPs: 34.94 | 7: iteration 8470/ 11269 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.48 | learning rate: 4.654E-05 | global batch size: 256 | lm loss: 2.538978E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.093 | TFLOPs: 35.19 | 7: iteration 8480/ 11269 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.48 | learning rate: 4.636E-05 | global batch size: 256 | lm loss: 2.536146E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.795 | TFLOPs: 35.17 | 7: iteration 8490/ 11269 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.48 | learning rate: 4.618E-05 | global batch size: 256 | lm loss: 2.566037E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.810 | TFLOPs: 34.91 | 7: iteration 8500/ 11269 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.48 | learning rate: 4.600E-05 | global batch size: 256 | lm loss: 2.568493E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.952 | TFLOPs: 34.85 | 7: iteration 8510/ 11269 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.48 | learning rate: 4.582E-05 | global batch size: 256 | lm loss: 2.503061E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.553 | TFLOPs: 35.22 | 7: iteration 8520/ 11269 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.48 | learning rate: 4.565E-05 | global batch size: 256 | lm loss: 2.527288E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.757 | TFLOPs: 34.97 | 7: iteration 8530/ 11269 | consumed samples: 2183680 | consumed tokens: 4472176640 | elapsed time per iteration (s): 0.48 | learning rate: 4.547E-05 | global batch size: 256 | lm loss: 2.532740E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.424 | TFLOPs: 35.15 | 7: iteration 8540/ 11269 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 0.48 | learning rate: 4.529E-05 | global batch size: 256 | lm loss: 2.543522E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.384 | TFLOPs: 35.21 | 7: iteration 8550/ 11269 | consumed samples: 2188800 | consumed tokens: 4482662400 | elapsed time per iteration (s): 0.48 | learning rate: 4.512E-05 | global batch size: 256 | lm loss: 2.540355E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.957 | TFLOPs: 34.92 | 7: iteration 8560/ 11269 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 0.48 | learning rate: 4.494E-05 | global batch size: 256 | lm loss: 2.550157E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.343 | TFLOPs: 35.14 | 7: iteration 8570/ 11269 | consumed samples: 2193920 | consumed tokens: 4493148160 | elapsed time per iteration (s): 0.48 | learning rate: 4.477E-05 | global batch size: 256 | lm loss: 2.546954E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.492 | TFLOPs: 34.69 | 7: iteration 8580/ 11269 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 0.48 | learning rate: 4.459E-05 | global batch size: 256 | lm loss: 2.549979E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.721 | TFLOPs: 35.17 | 7: iteration 8590/ 11269 | consumed samples: 2199040 | consumed tokens: 4503633920 | elapsed time per iteration (s): 0.48 | learning rate: 4.442E-05 | global batch size: 256 | lm loss: 2.577692E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.495 | TFLOPs: 35.09 | 7: iteration 8600/ 11269 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 0.48 | learning rate: 4.425E-05 | global batch size: 256 | lm loss: 2.565319E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.761 | TFLOPs: 35.23 | 7: iteration 8610/ 11269 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 0.50 | learning rate: 4.407E-05 | global batch size: 256 | lm loss: 2.539292E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 510.243 | TFLOPs: 33.37 | 7: iteration 8620/ 11269 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 0.48 | learning rate: 4.390E-05 | global batch size: 256 | lm loss: 2.577479E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.514 | TFLOPs: 35.15 | 7: iteration 8630/ 11269 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 0.48 | learning rate: 4.373E-05 | global batch size: 256 | lm loss: 2.530776E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.083 | TFLOPs: 34.67 | 7: iteration 8640/ 11269 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 0.48 | learning rate: 4.356E-05 | global batch size: 256 | lm loss: 2.525671E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.004 | TFLOPs: 35.19 | 7: iteration 8650/ 11269 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 0.48 | learning rate: 4.339E-05 | global batch size: 256 | lm loss: 2.516148E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.132 | TFLOPs: 34.87 | 7: iteration 8660/ 11269 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 0.48 | learning rate: 4.322E-05 | global batch size: 256 | lm loss: 2.550337E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.668 | TFLOPs: 34.90 | 7: iteration 8670/ 11269 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 0.48 | learning rate: 4.305E-05 | global batch size: 256 | lm loss: 2.540712E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.341 | TFLOPs: 35.01 | 7: iteration 8680/ 11269 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 0.48 | learning rate: 4.288E-05 | global batch size: 256 | lm loss: 2.540157E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.150 | TFLOPs: 35.19 | 7: iteration 8690/ 11269 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 0.48 | learning rate: 4.271E-05 | global batch size: 256 | lm loss: 2.527675E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.336 | TFLOPs: 34.55 | 7: iteration 8700/ 11269 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 0.49 | learning rate: 4.254E-05 | global batch size: 256 | lm loss: 2.536649E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.156 | TFLOPs: 33.89 | 7: iteration 8710/ 11269 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 0.48 | learning rate: 4.237E-05 | global batch size: 256 | lm loss: 2.521375E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.816 | TFLOPs: 34.91 | 7: iteration 8720/ 11269 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 0.48 | learning rate: 4.221E-05 | global batch size: 256 | lm loss: 2.521842E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.240 | TFLOPs: 35.14 | 7: iteration 8730/ 11269 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 0.49 | learning rate: 4.204E-05 | global batch size: 256 | lm loss: 2.566508E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.100 | TFLOPs: 34.41 | 7: iteration 8740/ 11269 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 0.48 | learning rate: 4.188E-05 | global batch size: 256 | lm loss: 2.509681E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.839 | TFLOPs: 34.98 | 7: iteration 8750/ 11269 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 0.48 | learning rate: 4.171E-05 | global batch size: 256 | lm loss: 2.554916E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.890 | TFLOPs: 34.98 | 7: iteration 8760/ 11269 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 0.48 | learning rate: 4.154E-05 | global batch size: 256 | lm loss: 2.545724E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.719 | TFLOPs: 35.04 | 7: iteration 8770/ 11269 | consumed samples: 2245120 | consumed tokens: 4598005760 | elapsed time per iteration (s): 0.48 | learning rate: 4.138E-05 | global batch size: 256 | lm loss: 2.513796E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.649 | TFLOPs: 34.97 | 7: iteration 8780/ 11269 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 0.48 | learning rate: 4.122E-05 | global batch size: 256 | lm loss: 2.532298E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.325 | TFLOPs: 35.08 | 7: iteration 8790/ 11269 | consumed samples: 2250240 | consumed tokens: 4608491520 | elapsed time per iteration (s): 0.48 | learning rate: 4.105E-05 | global batch size: 256 | lm loss: 2.523533E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 528.199 | TFLOPs: 34.54 | 7: iteration 8800/ 11269 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 0.48 | learning rate: 4.089E-05 | global batch size: 256 | lm loss: 2.546963E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.393 | TFLOPs: 34.82 | 7: iteration 8810/ 11269 | consumed samples: 2255360 | consumed tokens: 4618977280 | elapsed time per iteration (s): 0.48 | learning rate: 4.073E-05 | global batch size: 256 | lm loss: 2.525776E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.570 | TFLOPs: 34.90 | 7: iteration 8820/ 11269 | consumed samples: 2257920 | consumed 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norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.472 | TFLOPs: 34.95 | 7: iteration 8970/ 11269 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.48 | learning rate: 3.821E-05 | global batch size: 256 | lm loss: 2.534798E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.076 | TFLOPs: 35.19 | 7: iteration 8980/ 11269 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.48 | learning rate: 3.806E-05 | global batch size: 256 | lm loss: 2.515063E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.227 | TFLOPs: 35.13 | 7: iteration 8990/ 11269 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.48 | learning rate: 3.791E-05 | global batch size: 256 | lm loss: 2.520297E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.626 | TFLOPs: 34.77 | 7: iteration 9000/ 11269 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.48 | learning rate: 3.776E-05 | global batch size: 256 | lm loss: 2.527051E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.535 | TFLOPs: 35.15 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.405744E+00 | lm loss PPL: 1.108667E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_280mcpu 0: [2022-11-25 22:13:38,910] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: 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[Torch] Checkpoint global_step9000 is ready now! 6: [2022-11-25 22:13:39,567] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 6: [2022-11-25 22:13:39,569] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-25 22:13:39,569] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-25 22:13:39,569] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 6: [2022-11-25 22:13:39,572] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-25 22:13:39,572] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-25 22:13:39,572] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-25 22:13:39,613] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-25 22:13:39,613] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-25 22:13:39,613] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-25 22:13:39,619] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-25 22:13:39,619] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-25 22:13:39,619] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-25 22:13:39,623] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-25 22:13:39,623] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-25 22:13:39,623] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-25 22:13:39,646] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-25 22:13:39,646] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-25 22:13:39,646] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-25 22:13:39,652] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-25 22:13:39,653] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-25 22:13:39,653] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-25 22:13:39,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-25 22:13:39,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step9000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-25 22:13:39,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 752.76 7: iteration 9010/ 11269 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.57 | learning rate: 3.760E-05 | global batch size: 256 | lm loss: 2.547389E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.846 | TFLOPs: 29.42 | 7: iteration 9020/ 11269 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.48 | learning rate: 3.745E-05 | global batch size: 256 | lm loss: 2.521597E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.386 | TFLOPs: 34.82 | 7: iteration 9030/ 11269 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.48 | learning rate: 3.730E-05 | global batch size: 256 | lm loss: 2.554130E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.688 | TFLOPs: 34.84 | 7: iteration 9040/ 11269 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.48 | learning rate: 3.716E-05 | global batch size: 256 | lm loss: 2.544160E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.943 | TFLOPs: 35.18 | 7: iteration 9050/ 11269 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.48 | learning rate: 3.701E-05 | global batch size: 256 | lm loss: 2.561569E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.538 | TFLOPs: 35.22 | 7: iteration 9060/ 11269 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.48 | learning rate: 3.686E-05 | global batch size: 256 | lm loss: 2.554310E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.358 | TFLOPs: 35.21 | 7: iteration 9070/ 11269 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.48 | learning rate: 3.671E-05 | global batch size: 256 | lm loss: 2.537583E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.094 | TFLOPs: 35.13 | 7: iteration 9080/ 11269 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.48 | learning rate: 3.656E-05 | global batch size: 256 | lm loss: 2.566623E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.166 | TFLOPs: 34.80 | 7: iteration 9090/ 11269 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.59 | learning rate: 3.642E-05 | global batch size: 256 | lm loss: 2.521608E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 432.696 | TFLOPs: 28.30 | 7: iteration 9100/ 11269 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.52 | learning rate: 3.627E-05 | global batch size: 256 | lm loss: 2.549698E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 492.298 | TFLOPs: 32.20 | 7: iteration 9110/ 11269 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.48 | learning rate: 3.613E-05 | global batch size: 256 | lm loss: 2.516048E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.625 | TFLOPs: 35.03 | 7: iteration 9120/ 11269 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.48 | learning rate: 3.598E-05 | global batch size: 256 | lm loss: 2.544035E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.330 | TFLOPs: 35.14 | 7: iteration 9130/ 11269 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.48 | learning rate: 3.584E-05 | global batch size: 256 | lm loss: 2.537185E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.540 | TFLOPs: 34.89 | 7: iteration 9140/ 11269 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.50 | learning rate: 3.570E-05 | global batch size: 256 | lm loss: 2.524236E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.361 | TFLOPs: 33.64 | 7: iteration 9150/ 11269 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.48 | learning rate: 3.555E-05 | global batch size: 256 | lm loss: 2.541855E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.091 | TFLOPs: 34.99 | 7: iteration 9160/ 11269 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.48 | learning rate: 3.541E-05 | global batch size: 256 | lm loss: 2.548930E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.626 | TFLOPs: 34.70 | 7: iteration 9170/ 11269 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.48 | learning rate: 3.527E-05 | global batch size: 256 | lm loss: 2.588728E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.881 | TFLOPs: 34.92 | 7: iteration 9180/ 11269 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.48 | learning rate: 3.513E-05 | global batch size: 256 | lm loss: 2.542320E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.481 | TFLOPs: 35.02 | 7: iteration 9190/ 11269 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.48 | learning rate: 3.499E-05 | global batch size: 256 | lm loss: 2.545564E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.786 | TFLOPs: 35.17 | 7: iteration 9200/ 11269 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.48 | learning rate: 3.485E-05 | global batch size: 256 | lm loss: 2.529170E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.995 | TFLOPs: 35.12 | 7: iteration 9210/ 11269 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.48 | learning rate: 3.471E-05 | global batch size: 256 | lm loss: 2.525352E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.329 | TFLOPs: 35.14 | 7: iteration 9220/ 11269 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.48 | learning rate: 3.457E-05 | global batch size: 256 | lm loss: 2.482638E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.015 | TFLOPs: 34.79 | 7: iteration 9230/ 11269 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.49 | learning rate: 3.443E-05 | global batch size: 256 | lm loss: 2.547542E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 523.945 | TFLOPs: 34.27 | 7: iteration 9240/ 11269 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.48 | learning rate: 3.430E-05 | global batch size: 256 | lm loss: 2.530625E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.799 | TFLOPs: 35.04 | 7: iteration 9250/ 11269 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.48 | learning rate: 3.416E-05 | global batch size: 256 | lm loss: 2.529192E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.258 | TFLOPs: 34.87 | 7: iteration 9260/ 11269 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.48 | learning rate: 3.402E-05 | global batch size: 256 | lm loss: 2.561641E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.767 | TFLOPs: 35.17 | 7: iteration 9270/ 11269 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.48 | learning rate: 3.389E-05 | global batch size: 256 | lm loss: 2.548019E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.141 | TFLOPs: 34.93 | 7: iteration 9280/ 11269 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.48 | learning rate: 3.375E-05 | global batch size: 256 | lm loss: 2.549560E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.426 | TFLOPs: 35.21 | 7: iteration 9290/ 11269 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.48 | learning rate: 3.362E-05 | global batch size: 256 | lm loss: 2.533037E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.513 | TFLOPs: 35.15 | 7: iteration 9300/ 11269 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.48 | learning rate: 3.348E-05 | global batch size: 256 | lm loss: 2.515469E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.092 | TFLOPs: 35.19 | 7: iteration 9310/ 11269 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.48 | learning rate: 3.335E-05 | global batch size: 256 | lm loss: 2.536206E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.414 | TFLOPs: 35.02 | 7: iteration 9320/ 11269 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.48 | learning rate: 3.322E-05 | global batch size: 256 | lm loss: 2.533714E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.187 | TFLOPs: 35.00 | 7: iteration 9330/ 11269 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.48 | learning rate: 3.309E-05 | global batch size: 256 | lm loss: 2.562185E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.725 | TFLOPs: 34.71 | 7: iteration 9340/ 11269 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.48 | learning rate: 3.296E-05 | global batch size: 256 | lm loss: 2.543676E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.692 | TFLOPs: 35.16 | 7: iteration 9350/ 11269 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.48 | learning rate: 3.282E-05 | global batch size: 256 | lm loss: 2.546501E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.443 | TFLOPs: 35.08 | 7: iteration 9360/ 11269 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.48 | learning rate: 3.269E-05 | global batch size: 256 | lm loss: 2.501522E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.706 | TFLOPs: 35.17 | 7: iteration 9370/ 11269 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 0.48 | learning rate: 3.257E-05 | global batch size: 256 | lm loss: 2.528439E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.488 | TFLOPs: 35.22 | 7: iteration 9380/ 11269 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.48 | learning rate: 3.244E-05 | global batch size: 256 | lm loss: 2.544244E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.612 | TFLOPs: 35.03 | 7: iteration 9390/ 11269 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.48 | learning rate: 3.231E-05 | global batch size: 256 | lm loss: 2.511885E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.838 | TFLOPs: 34.91 | 7: iteration 9400/ 11269 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.48 | learning rate: 3.218E-05 | global batch size: 256 | lm loss: 2.542073E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.845 | TFLOPs: 34.91 | 7: iteration 9410/ 11269 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.48 | learning rate: 3.205E-05 | global batch size: 256 | lm loss: 2.490315E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.991 | TFLOPs: 35.18 | 7: iteration 9420/ 11269 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.48 | learning rate: 3.193E-05 | global batch size: 256 | lm loss: 2.552406E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.680 | TFLOPs: 34.97 | 7: iteration 9430/ 11269 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.48 | learning rate: 3.180E-05 | global batch size: 256 | lm loss: 2.517240E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.249 | TFLOPs: 35.01 | 7: iteration 9440/ 11269 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.48 | learning rate: 3.168E-05 | global batch size: 256 | lm loss: 2.543737E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.406 | TFLOPs: 35.02 | 7: iteration 9450/ 11269 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.48 | learning rate: 3.155E-05 | global batch size: 256 | lm loss: 2.579022E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.656 | TFLOPs: 34.77 | 7: iteration 9460/ 11269 | consumed samples: 2421760 | consumed 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consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 0.48 | learning rate: 3.106E-05 | global batch size: 256 | lm loss: 2.505714E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.158 | TFLOPs: 35.13 | 7: iteration 9500/ 11269 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.49 | learning rate: 3.094E-05 | global batch size: 256 | lm loss: 2.537991E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.250 | TFLOPs: 34.42 | 7: iteration 9510/ 11269 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.48 | learning rate: 3.082E-05 | global batch size: 256 | lm loss: 2.535304E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.307 | 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iterations: 0 | samples per second: 537.943 | TFLOPs: 35.18 | 7: iteration 9550/ 11269 | consumed samples: 2444800 | consumed tokens: 5006950400 | elapsed time per iteration (s): 0.49 | learning rate: 3.034E-05 | global batch size: 256 | lm loss: 2.545695E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.717 | TFLOPs: 33.86 | 7: iteration 9560/ 11269 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 0.48 | learning rate: 3.022E-05 | global batch size: 256 | lm loss: 2.540213E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.060 | TFLOPs: 34.93 | 7: iteration 9570/ 11269 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 0.48 | learning rate: 3.011E-05 | global batch size: 256 | lm loss: 2.472030E+00 | grad norm: 0.248 | num zeros: 0.0 | number of 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norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.900 | TFLOPs: 35.18 | 7: iteration 9610/ 11269 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 0.48 | learning rate: 2.964E-05 | global batch size: 256 | lm loss: 2.510097E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.491 | TFLOPs: 34.76 | 7: iteration 9620/ 11269 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 0.48 | learning rate: 2.953E-05 | global batch size: 256 | lm loss: 2.573044E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.145 | TFLOPs: 35.13 | 7: iteration 9630/ 11269 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 0.48 | learning rate: 2.942E-05 | global batch size: 256 | lm loss: 2.544519E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.694 | TFLOPs: 35.03 | 7: iteration 9640/ 11269 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.48 | learning rate: 2.930E-05 | global batch size: 256 | lm loss: 2.499818E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.798 | TFLOPs: 34.91 | 7: iteration 9650/ 11269 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.48 | learning rate: 2.919E-05 | global batch size: 256 | lm loss: 2.538843E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.346 | TFLOPs: 35.21 | 7: iteration 9660/ 11269 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 0.48 | learning rate: 2.908E-05 | global batch size: 256 | lm loss: 2.541669E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.616 | TFLOPs: 35.23 | 7: iteration 9670/ 11269 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 0.48 | learning rate: 2.897E-05 | global batch size: 256 | lm loss: 2.511540E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.144 | TFLOPs: 35.19 | 7: iteration 9680/ 11269 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 0.48 | learning rate: 2.886E-05 | global batch size: 256 | lm loss: 2.514542E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.888 | TFLOPs: 35.18 | 7: iteration 9690/ 11269 | consumed samples: 2480640 | consumed tokens: 5080350720 | elapsed time per iteration (s): 0.48 | learning rate: 2.875E-05 | global batch size: 256 | lm loss: 2.515444E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.093 | TFLOPs: 34.93 | 7: iteration 9700/ 11269 | consumed samples: 2483200 | consumed tokens: 5085593600 | elapsed time per iteration (s): 0.48 | learning rate: 2.864E-05 | global batch size: 256 | lm loss: 2.526145E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.713 | TFLOPs: 35.17 | 7: iteration 9710/ 11269 | consumed samples: 2485760 | consumed tokens: 5090836480 | elapsed time per iteration (s): 0.48 | learning rate: 2.853E-05 | global batch size: 256 | lm loss: 2.518990E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.756 | TFLOPs: 35.17 | 7: iteration 9720/ 11269 | consumed samples: 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second: 536.408 | TFLOPs: 35.08 | 7: iteration 9780/ 11269 | consumed samples: 2503680 | consumed tokens: 5127536640 | elapsed time per iteration (s): 0.48 | learning rate: 2.780E-05 | global batch size: 256 | lm loss: 2.555505E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.150 | TFLOPs: 35.13 | 7: iteration 9790/ 11269 | consumed samples: 2506240 | consumed tokens: 5132779520 | elapsed time per iteration (s): 0.48 | learning rate: 2.769E-05 | global batch size: 256 | lm loss: 2.512175E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.123 | TFLOPs: 35.13 | 7: iteration 9800/ 11269 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 0.48 | learning rate: 2.759E-05 | global batch size: 256 | lm loss: 2.540537E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.664 | TFLOPs: 35.16 | 7: iteration 9810/ 11269 | consumed samples: 2511360 | consumed tokens: 5143265280 | elapsed time per iteration (s): 0.48 | learning rate: 2.749E-05 | global batch size: 256 | lm loss: 2.535700E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.818 | TFLOPs: 35.17 | 7: iteration 9820/ 11269 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 0.48 | learning rate: 2.739E-05 | global batch size: 256 | lm loss: 2.508367E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.080 | TFLOPs: 35.19 | 7: iteration 9830/ 11269 | consumed samples: 2516480 | consumed tokens: 5153751040 | elapsed time per iteration (s): 0.50 | learning rate: 2.729E-05 | global batch size: 256 | lm loss: 2.535744E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 515.863 | TFLOPs: 33.74 | 7: iteration 9840/ 11269 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 0.48 | learning rate: 2.719E-05 | global batch size: 256 | lm loss: 2.489908E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.499 | TFLOPs: 34.83 | 7: iteration 9850/ 11269 | consumed samples: 2521600 | consumed tokens: 5164236800 | elapsed time per iteration (s): 0.49 | learning rate: 2.709E-05 | global batch size: 256 | lm loss: 2.533950E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.045 | TFLOPs: 34.08 | 7: iteration 9860/ 11269 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 0.48 | learning rate: 2.699E-05 | global batch size: 256 | lm loss: 2.549792E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.262 | TFLOPs: 34.88 | 7: iteration 9870/ 11269 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 0.48 | learning rate: 2.689E-05 | global batch size: 256 | lm loss: 2.493154E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.175 | TFLOPs: 35.20 | 7: iteration 9880/ 11269 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 0.48 | learning rate: 2.680E-05 | global batch size: 256 | lm loss: 2.522164E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.825 | TFLOPs: 35.17 | 7: iteration 9890/ 11269 | consumed samples: 2531840 | consumed tokens: 5185208320 | elapsed time per iteration (s): 0.48 | learning rate: 2.670E-05 | global batch size: 256 | lm loss: 2.557867E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.214 | TFLOPs: 35.00 | 7: iteration 9900/ 11269 | consumed samples: 2534400 | consumed tokens: 5190451200 | elapsed time per iteration (s): 0.48 | learning rate: 2.661E-05 | global batch size: 256 | lm loss: 2.554144E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.209 | TFLOPs: 34.81 | 7: iteration 9910/ 11269 | consumed samples: 2536960 | consumed tokens: 5195694080 | elapsed time per iteration (s): 0.48 | learning rate: 2.651E-05 | global batch size: 256 | lm loss: 2.536549E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.049 | TFLOPs: 35.19 | 7: iteration 9920/ 11269 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 0.48 | learning rate: 2.642E-05 | global batch size: 256 | lm loss: 2.562557E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.144 | TFLOPs: 35.19 | 7: iteration 9930/ 11269 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 0.48 | learning rate: 2.632E-05 | global batch size: 256 | lm loss: 2.533957E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.973 | TFLOPs: 35.12 | 7: iteration 9940/ 11269 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 0.48 | learning rate: 2.623E-05 | global batch size: 256 | lm loss: 2.509231E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.708 | TFLOPs: 35.23 | 7: iteration 9950/ 11269 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.48 | learning rate: 2.614E-05 | global batch size: 256 | lm loss: 2.505325E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.456 | TFLOPs: 35.21 | 7: iteration 9960/ 11269 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.48 | learning rate: 2.605E-05 | global batch size: 256 | lm loss: 2.538872E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.305 | TFLOPs: 35.20 | 7: iteration 9970/ 11269 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.48 | learning rate: 2.595E-05 | global batch size: 256 | lm loss: 2.496568E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.407 | TFLOPs: 35.15 | 7: iteration 9980/ 11269 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.48 | learning rate: 2.586E-05 | global batch size: 256 | lm loss: 2.547223E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.464 | TFLOPs: 34.82 | 7: iteration 9990/ 11269 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.49 | learning rate: 2.577E-05 | global batch size: 256 | lm loss: 2.547042E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.633 | TFLOPs: 34.05 | 0: [2022-11-25 22:21:40,051] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[2.568592118488235e-05, 2.568592118488235e-05, 2.568592118488235e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 11269 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.49 | learning rate: 2.569E-05 | global batch size: 256 | lm loss: 2.551108E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.179 | TFLOPs: 34.41 | 0: steps: 10000 loss: 2.5183 iter time (s): 0.478 samples/sec: 535.250 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.446072E+00 | lm loss PPL: 1.154292E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_280mcpu 0: [2022-11-25 22:21:40,231] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-25 22:21:40,234] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step10000/layer_01-model_00-model_states.pt... 0: [2022-11-25 22:21:40,346] [INFO] 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[2022-11-25 22:21:40,980] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step10000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-25 22:21:40,980] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-25 22:21:40,980] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-25 22:21:40,980] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 5: [2022-11-25 22:21:40,980] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 1: [2022-11-25 22:21:41,003] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step10000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 22:21:41,003] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step10000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 22:21:41,003] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 779.80 7: iteration 10010/ 11269 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 0.59 | learning rate: 2.560E-05 | global batch size: 256 | lm loss: 2.521200E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 433.130 | TFLOPs: 28.33 | 7: iteration 10020/ 11269 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.49 | learning rate: 2.551E-05 | global batch size: 256 | lm loss: 2.547071E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.883 | TFLOPs: 34.07 | 7: iteration 10030/ 11269 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.49 | learning rate: 2.542E-05 | global batch size: 256 | lm loss: 2.548577E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 521.049 | TFLOPs: 34.08 | 7: iteration 10040/ 11269 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.48 | learning rate: 2.534E-05 | global batch size: 256 | lm loss: 2.547085E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.947 | TFLOPs: 35.12 | 7: iteration 10050/ 11269 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.48 | learning rate: 2.525E-05 | global batch size: 256 | lm loss: 2.524449E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.684 | TFLOPs: 34.64 | 7: iteration 10060/ 11269 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.48 | learning rate: 2.517E-05 | global batch size: 256 | lm loss: 2.530209E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.375 | TFLOPs: 35.01 | 7: iteration 10070/ 11269 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.49 | learning rate: 2.508E-05 | global batch size: 256 | lm loss: 2.531757E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.509 | TFLOPs: 34.30 | 7: iteration 10080/ 11269 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.48 | learning rate: 2.500E-05 | global batch size: 256 | lm loss: 2.493664E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.668 | TFLOPs: 34.97 | 7: iteration 10090/ 11269 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.48 | learning rate: 2.492E-05 | global batch size: 256 | lm loss: 2.507342E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.496 | TFLOPs: 34.89 | 7: iteration 10100/ 11269 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.48 | learning rate: 2.483E-05 | global batch size: 256 | lm loss: 2.538652E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.724 | TFLOPs: 34.77 | 7: iteration 10110/ 11269 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.48 | learning rate: 2.475E-05 | global batch size: 256 | lm loss: 2.512700E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.294 | TFLOPs: 34.88 | 7: iteration 10120/ 11269 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.48 | learning rate: 2.467E-05 | global batch size: 256 | lm loss: 2.498510E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.153 | TFLOPs: 34.93 | 7: iteration 10130/ 11269 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.48 | learning rate: 2.459E-05 | global batch size: 256 | lm loss: 2.524500E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.420 | TFLOPs: 35.08 | 7: iteration 10140/ 11269 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.48 | learning rate: 2.451E-05 | global batch size: 256 | lm loss: 2.535876E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.400 | TFLOPs: 34.69 | 7: iteration 10150/ 11269 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.48 | learning rate: 2.443E-05 | global batch size: 256 | lm loss: 2.504461E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.964 | TFLOPs: 34.92 | 7: iteration 10160/ 11269 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.48 | learning rate: 2.435E-05 | global batch size: 256 | lm loss: 2.523547E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 530.002 | TFLOPs: 34.66 | 7: iteration 10170/ 11269 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.49 | learning rate: 2.428E-05 | global batch size: 256 | lm loss: 2.547295E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.046 | TFLOPs: 34.27 | 7: iteration 10180/ 11269 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 0.48 | learning rate: 2.420E-05 | global batch size: 256 | lm loss: 2.519128E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.732 | TFLOPs: 34.78 | 7: iteration 10190/ 11269 | consumed samples: 2608640 | consumed tokens: 5342494720 | elapsed time per iteration (s): 0.48 | learning rate: 2.412E-05 | global batch size: 256 | lm loss: 2.532675E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.471 | TFLOPs: 35.02 | 7: iteration 10200/ 11269 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 0.48 | learning rate: 2.405E-05 | global batch size: 256 | lm loss: 2.519134E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.175 | TFLOPs: 35.13 | 7: iteration 10210/ 11269 | consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 0.48 | learning rate: 2.397E-05 | global batch size: 256 | lm loss: 2.521961E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.845 | TFLOPs: 34.91 | 7: iteration 10220/ 11269 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 0.48 | learning rate: 2.390E-05 | global batch size: 256 | lm loss: 2.502684E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.442 | TFLOPs: 34.95 | 7: iteration 10230/ 11269 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 0.48 | learning rate: 2.383E-05 | global batch size: 256 | lm loss: 2.519956E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.244 | TFLOPs: 35.07 | 7: iteration 10240/ 11269 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 0.48 | learning rate: 2.375E-05 | global batch size: 256 | lm loss: 2.537540E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.949 | TFLOPs: 35.18 | 7: iteration 10250/ 11269 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 0.48 | learning rate: 2.368E-05 | global batch size: 256 | lm loss: 2.526248E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.114 | TFLOPs: 35.00 | 7: iteration 10260/ 11269 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.48 | learning rate: 2.361E-05 | global batch size: 256 | lm loss: 2.497947E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.461 | TFLOPs: 35.15 | 7: iteration 10270/ 11269 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.48 | learning rate: 2.354E-05 | global batch size: 256 | lm loss: 2.523944E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.734 | TFLOPs: 34.97 | 7: iteration 10280/ 11269 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 0.48 | learning rate: 2.347E-05 | global batch size: 256 | lm loss: 2.533037E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.793 | TFLOPs: 34.84 | 7: iteration 10290/ 11269 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 0.48 | learning rate: 2.340E-05 | global batch size: 256 | lm loss: 2.546424E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.505 | TFLOPs: 34.96 | 7: iteration 10300/ 11269 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.48 | learning rate: 2.333E-05 | global batch size: 256 | lm loss: 2.500032E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.055 | TFLOPs: 35.19 | 7: iteration 10310/ 11269 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.48 | learning rate: 2.326E-05 | global batch size: 256 | lm loss: 2.532182E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.786 | TFLOPs: 34.97 | 7: iteration 10320/ 11269 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.49 | learning rate: 2.319E-05 | global batch size: 256 | lm loss: 2.552126E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.686 | TFLOPs: 33.86 | 7: iteration 10330/ 11269 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.48 | learning rate: 2.313E-05 | global batch size: 256 | lm loss: 2.510014E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.646 | TFLOPs: 34.77 | 7: iteration 10340/ 11269 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.48 | learning rate: 2.306E-05 | global batch size: 256 | lm loss: 2.551931E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.018 | TFLOPs: 35.12 | 7: iteration 10350/ 11269 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.48 | learning rate: 2.300E-05 | global batch size: 256 | lm loss: 2.523516E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.231 | TFLOPs: 35.07 | 7: iteration 10360/ 11269 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.48 | learning rate: 2.293E-05 | global batch size: 256 | lm loss: 2.530371E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.470 | TFLOPs: 35.08 | 7: iteration 10370/ 11269 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 0.48 | learning rate: 2.287E-05 | global batch size: 256 | lm loss: 2.524027E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.294 | TFLOPs: 34.81 | 7: iteration 10380/ 11269 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 0.48 | learning rate: 2.281E-05 | global batch size: 256 | lm loss: 2.518559E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 529.239 | TFLOPs: 34.61 | 7: iteration 10390/ 11269 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.48 | learning rate: 2.274E-05 | global batch size: 256 | lm loss: 2.508806E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.117 | TFLOPs: 35.19 | 7: iteration 10400/ 11269 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.50 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 2.522946E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 512.190 | TFLOPs: 33.50 | 7: iteration 10410/ 11269 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.48 | learning rate: 2.262E-05 | global batch size: 256 | lm loss: 2.512196E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.587 | TFLOPs: 34.90 | 7: iteration 10420/ 11269 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.48 | learning rate: 2.256E-05 | global batch size: 256 | lm loss: 2.536868E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.435 | TFLOPs: 34.82 | 7: iteration 10430/ 11269 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 0.48 | learning rate: 2.250E-05 | global batch size: 256 | lm loss: 2.532105E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.990 | TFLOPs: 35.18 | 7: iteration 10440/ 11269 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 0.48 | learning rate: 2.244E-05 | global batch size: 256 | lm loss: 2.520939E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.708 | TFLOPs: 35.17 | 7: iteration 10450/ 11269 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.48 | learning rate: 2.238E-05 | global batch size: 256 | lm loss: 2.509603E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.067 | TFLOPs: 34.86 | 7: iteration 10460/ 11269 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.48 | learning rate: 2.233E-05 | global batch size: 256 | lm loss: 2.517702E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.538 | TFLOPs: 35.15 | 7: iteration 10470/ 11269 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.48 | learning rate: 2.227E-05 | global batch size: 256 | lm loss: 2.521698E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.681 | TFLOPs: 35.16 | 7: iteration 10480/ 11269 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.48 | learning rate: 2.221E-05 | global batch size: 256 | lm loss: 2.516444E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.386 | TFLOPs: 34.82 | 7: iteration 10490/ 11269 | consumed samples: 2685440 | consumed tokens: 5499781120 | elapsed time per iteration (s): 0.48 | learning rate: 2.216E-05 | global batch size: 256 | lm loss: 2.512588E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.726 | TFLOPs: 35.04 | 7: iteration 10500/ 11269 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 0.48 | learning rate: 2.210E-05 | global batch size: 256 | lm loss: 2.515495E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.618 | TFLOPs: 35.16 | 7: iteration 10510/ 11269 | consumed samples: 2690560 | consumed tokens: 5510266880 | elapsed time per iteration (s): 0.48 | learning rate: 2.205E-05 | global batch size: 256 | lm loss: 2.533187E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.394 | TFLOPs: 35.15 | 7: iteration 10520/ 11269 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 0.48 | learning rate: 2.199E-05 | global batch size: 256 | lm loss: 2.566232E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.282 | TFLOPs: 34.81 | 7: iteration 10530/ 11269 | consumed samples: 2695680 | consumed tokens: 5520752640 | elapsed time per iteration (s): 0.48 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.520023E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.090 | TFLOPs: 34.99 | 7: iteration 10540/ 11269 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 0.48 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.513339E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.030 | TFLOPs: 35.19 | 7: iteration 10550/ 11269 | consumed samples: 2700800 | consumed tokens: 5531238400 | elapsed time per iteration (s): 0.48 | learning rate: 2.184E-05 | global batch size: 256 | lm loss: 2.501830E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.003 | TFLOPs: 35.19 | 7: iteration 10560/ 11269 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 0.48 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 2.509724E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.006 | TFLOPs: 35.19 | 7: iteration 10570/ 11269 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 0.48 | learning rate: 2.174E-05 | global batch size: 256 | lm loss: 2.508075E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.029 | TFLOPs: 34.86 | 7: iteration 10580/ 11269 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 0.48 | learning rate: 2.169E-05 | global batch size: 256 | lm loss: 2.513324E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.193 | TFLOPs: 35.20 | 7: iteration 10590/ 11269 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 0.48 | learning rate: 2.164E-05 | global batch size: 256 | lm loss: 2.548214E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.882 | TFLOPs: 34.98 | 7: iteration 10600/ 11269 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 0.48 | learning rate: 2.159E-05 | global batch size: 256 | lm loss: 2.509964E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.910 | TFLOPs: 35.18 | 7: iteration 10610/ 11269 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.48 | learning rate: 2.155E-05 | global batch size: 256 | lm loss: 2.491097E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.034 | TFLOPs: 34.93 | 7: iteration 10620/ 11269 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 0.48 | learning rate: 2.150E-05 | global batch size: 256 | lm loss: 2.508010E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.082 | TFLOPs: 35.12 | 7: iteration 10630/ 11269 | consumed samples: 2721280 | consumed tokens: 5573181440 | elapsed time per iteration (s): 0.48 | learning rate: 2.145E-05 | global batch size: 256 | lm loss: 2.490916E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.393 | TFLOPs: 35.15 | 7: iteration 10640/ 11269 | consumed samples: 2723840 | consumed tokens: 5578424320 | elapsed time per iteration (s): 0.48 | learning rate: 2.141E-05 | global batch size: 256 | lm loss: 2.523149E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.451 | TFLOPs: 35.15 | 7: iteration 10650/ 11269 | consumed samples: 2726400 | consumed tokens: 5583667200 | elapsed time per iteration (s): 0.48 | learning rate: 2.136E-05 | global batch size: 256 | lm loss: 2.528204E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.375 | TFLOPs: 35.14 | 7: iteration 10660/ 11269 | consumed samples: 2728960 | consumed tokens: 5588910080 | elapsed time per iteration (s): 0.48 | learning rate: 2.132E-05 | global batch size: 256 | lm loss: 2.522514E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.730 | TFLOPs: 35.17 | 7: iteration 10670/ 11269 | consumed samples: 2731520 | consumed tokens: 5594152960 | elapsed time per iteration (s): 0.48 | learning rate: 2.128E-05 | global batch size: 256 | lm loss: 2.540796E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.183 | TFLOPs: 35.13 | 7: iteration 10680/ 11269 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 0.48 | learning rate: 2.124E-05 | global batch size: 256 | lm loss: 2.514792E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.097 | TFLOPs: 35.06 | 7: iteration 10690/ 11269 | consumed samples: 2736640 | consumed tokens: 5604638720 | elapsed time per iteration (s): 0.48 | learning rate: 2.119E-05 | global batch size: 256 | lm loss: 2.531067E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.827 | TFLOPs: 35.11 | 7: iteration 10700/ 11269 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 0.48 | learning rate: 2.115E-05 | global batch size: 256 | lm loss: 2.514989E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.027 | TFLOPs: 34.79 | 7: iteration 10710/ 11269 | consumed samples: 2741760 | consumed tokens: 5615124480 | elapsed time per iteration (s): 0.49 | learning rate: 2.111E-05 | global batch size: 256 | lm loss: 2.537173E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.152 | TFLOPs: 34.28 | 7: iteration 10720/ 11269 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 0.48 | learning rate: 2.107E-05 | global batch size: 256 | lm loss: 2.546954E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 531.716 | TFLOPs: 34.77 | 7: iteration 10730/ 11269 | consumed samples: 2746880 | consumed tokens: 5625610240 | elapsed time per iteration (s): 0.48 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.513033E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.708 | TFLOPs: 35.17 | 7: iteration 10740/ 11269 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 0.48 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 2.492731E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.117 | TFLOPs: 34.87 | 7: iteration 10750/ 11269 | consumed samples: 2752000 | consumed tokens: 5636096000 | elapsed time per iteration (s): 0.48 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.519279E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.729 | TFLOPs: 34.84 | 7: iteration 10760/ 11269 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 0.48 | learning rate: 2.092E-05 | global batch size: 256 | lm loss: 2.522850E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.646 | TFLOPs: 35.16 | 7: iteration 10770/ 11269 | consumed samples: 2757120 | consumed tokens: 5646581760 | elapsed time per iteration (s): 0.49 | learning rate: 2.089E-05 | global batch size: 256 | lm loss: 2.485907E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 520.629 | TFLOPs: 34.05 | 7: iteration 10780/ 11269 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 0.48 | learning rate: 2.085E-05 | global batch size: 256 | lm loss: 2.479832E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.191 | TFLOPs: 35.13 | 7: iteration 10790/ 11269 | consumed samples: 2762240 | consumed tokens: 5657067520 | elapsed time per iteration (s): 0.49 | learning rate: 2.082E-05 | global batch size: 256 | lm loss: 2.529190E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 518.587 | TFLOPs: 33.92 | 7: iteration 10800/ 11269 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 0.49 | learning rate: 2.078E-05 | global batch size: 256 | lm loss: 2.490986E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 525.788 | TFLOPs: 34.39 | 7: iteration 10810/ 11269 | consumed samples: 2767360 | consumed tokens: 5667553280 | elapsed time per iteration (s): 0.48 | learning rate: 2.075E-05 | global batch size: 256 | lm loss: 2.501706E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.505 | TFLOPs: 35.15 | 7: iteration 10820/ 11269 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 0.48 | learning rate: 2.072E-05 | global batch size: 256 | lm loss: 2.510022E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.706 | TFLOPs: 35.17 | 7: iteration 10830/ 11269 | consumed samples: 2772480 | consumed tokens: 5678039040 | elapsed time per iteration (s): 0.48 | learning rate: 2.069E-05 | global batch size: 256 | lm loss: 2.517346E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.076 | TFLOPs: 35.12 | 7: iteration 10840/ 11269 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 0.48 | learning rate: 2.066E-05 | global batch size: 256 | lm loss: 2.510421E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.142 | TFLOPs: 35.13 | 7: iteration 10850/ 11269 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 0.48 | learning rate: 2.063E-05 | global batch size: 256 | lm loss: 2.476356E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.249 | TFLOPs: 35.14 | 7: iteration 10860/ 11269 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 0.48 | learning rate: 2.060E-05 | global batch size: 256 | lm loss: 2.542738E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.438 | TFLOPs: 35.15 | 7: iteration 10870/ 11269 | consumed samples: 2782720 | consumed tokens: 5699010560 | elapsed time per iteration (s): 0.48 | learning rate: 2.057E-05 | global batch size: 256 | lm loss: 2.520384E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.684 | TFLOPs: 35.10 | 7: iteration 10880/ 11269 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 0.48 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.532728E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.854 | TFLOPs: 34.98 | 7: iteration 10890/ 11269 | consumed samples: 2787840 | consumed tokens: 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consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 0.48 | learning rate: 2.043E-05 | global batch size: 256 | lm loss: 2.489325E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.479 | TFLOPs: 34.89 | 7: iteration 10930/ 11269 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 0.49 | learning rate: 2.041E-05 | global batch size: 256 | lm loss: 2.499416E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.906 | TFLOPs: 34.33 | 7: iteration 10940/ 11269 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.48 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.471646E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.217 | 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iterations: 0 | samples per second: 538.611 | TFLOPs: 35.23 | 7: iteration 10980/ 11269 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.48 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.509363E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.486 | TFLOPs: 35.22 | 7: iteration 10990/ 11269 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.48 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.520381E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.708 | TFLOPs: 35.17 | 7: iteration 11000/ 11269 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.48 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.518743E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.499 | TFLOPs: 35.22 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 11000 | lm loss value: 2.436549E+00 | lm loss PPL: 1.143351E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 11000 to checkpoints_280mcpu 0: [2022-11-25 22:29:40,848] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save! 0: [2022-11-25 22:29:40,852] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step11000/layer_01-model_00-model_states.pt... 0: [2022-11-25 22:29:40,965] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step11000/layer_01-model_00-model_states.pt. 0: [2022-11-25 22:29:40,965] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 6: [2022-11-25 22:29:41,523] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-25 22:29:41,510] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-25 22:29:41,510] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-25 22:29:41,510] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-25 22:29:41,510] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-25 22:29:41,510] [INFO] 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checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 22:29:41,511] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 22:29:41,511] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-25 22:29:41,511] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-25 22:29:41,511] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 22:29:41,511] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-25 22:29:41,511] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-25 22:29:41,511] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 22:29:41,511] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-25 22:29:41,511] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 7: [2022-11-25 22:29:41,511] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-25 22:29:41,553] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 22:29:41,553] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: successfully saved checkpoint at iteration 11000 to checkpoints_280mcpu 7: time (ms) | save-checkpoint: 725.60 7: iteration 11010/ 11269 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.57 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.496660E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.097 | TFLOPs: 29.31 | 7: iteration 11020/ 11269 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.48 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.548933E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.437 | TFLOPs: 35.15 | 7: iteration 11030/ 11269 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.49 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.483917E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 517.582 | TFLOPs: 33.85 | 7: iteration 11040/ 11269 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.48 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.513324E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.014 | TFLOPs: 35.19 | 7: iteration 11050/ 11269 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.48 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.529244E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.956 | TFLOPs: 35.18 | 7: iteration 11060/ 11269 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.48 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.490252E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.200 | TFLOPs: 35.20 | 7: iteration 11070/ 11269 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.48 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.501941E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.865 | TFLOPs: 35.18 | 7: iteration 11080/ 11269 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.48 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.521435E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 538.236 | TFLOPs: 35.20 | 7: iteration 11090/ 11269 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.49 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.502811E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 524.963 | TFLOPs: 34.33 | 7: iteration 11100/ 11269 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 0.48 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.530215E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.924 | TFLOPs: 35.18 | 7: iteration 11110/ 11269 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 0.48 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.537469E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.543 | TFLOPs: 34.83 | 7: iteration 11120/ 11269 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 0.48 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.523269E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.508 | TFLOPs: 35.15 | 7: iteration 11130/ 11269 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.48 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.486594E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.775 | TFLOPs: 35.17 | 7: iteration 11140/ 11269 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.48 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.515080E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 534.609 | TFLOPs: 34.96 | 7: iteration 11150/ 11269 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.48 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.502784E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.883 | TFLOPs: 35.18 | 7: iteration 11160/ 11269 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.48 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.521762E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 533.564 | TFLOPs: 34.89 | 7: iteration 11170/ 11269 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 0.48 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.511346E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.003 | TFLOPs: 34.99 | 7: iteration 11180/ 11269 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 0.48 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.516895E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.948 | TFLOPs: 35.18 | 7: iteration 11190/ 11269 | consumed samples: 2864640 | consumed tokens: 5866782720 | elapsed time per iteration (s): 0.49 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.463066E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 526.281 | TFLOPs: 34.42 | 7: iteration 11200/ 11269 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.48 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.557611E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 532.671 | TFLOPs: 34.84 | 7: iteration 11210/ 11269 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.48 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.517345E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.987 | TFLOPs: 35.18 | 7: iteration 11220/ 11269 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.48 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.541922E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 535.309 | TFLOPs: 35.01 | 7: iteration 11230/ 11269 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.48 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.525832E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.936 | TFLOPs: 35.18 | 7: iteration 11240/ 11269 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.534830E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 537.628 | TFLOPs: 35.16 | 7: iteration 11250/ 11269 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.48 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.525311E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 536.862 | TFLOPs: 35.11 | 7: iteration 11260/ 11269 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.50 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.510416E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 514.420 | TFLOPs: 33.64 | 0: [after training is done] datetime: 2022-11-25 22:31:50 0: saving checkpoint at iteration 11269 to checkpoints_280mcpu 7: ------------------------------------------------------------------------------------------------------------ 7: valid loss at the end of training for val data | lm loss value: 2.486469E+00 | lm loss PPL: 1.201876E+01 | 7: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-25 22:31:50,689] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11269 is begin to save! 0: [2022-11-25 22:31:50,695] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_280mcpu/global_step11269/layer_01-model_00-model_states.pt... 0: [2022-11-25 22:31:50,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280mcpu/global_step11269/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 22:31:51,341] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 7: [2022-11-25 22:31:51,341] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11269/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 22:31:51,341] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 5: [2022-11-25 22:31:51,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step11269/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-25 22:31:51,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_280mcpu/global_step11269/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-25 22:31:51,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_280mcpu/global_step11269/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 22:31:51,439] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_280mcpu/global_step11269/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 22:31:51,439] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11269 is ready now! 0: successfully saved checkpoint at iteration 11269 to checkpoints_280mcpu 7: ------------------------------------------------------------------------------------------------------------ 7: test loss at the end of training for test data | lm loss value: 2.441951E+00 | lm loss PPL: 1.149544E+01 | 7: ------------------------------------------------------------------------------------------------------------ END 2073130: Fri Nov 25 22:32:04 EET 2022