Model parameters: d_model 768 ffw_size 3072 kv_size 64 n_heads 12 n_layers 15 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 15 --hidden-size 768 --num-attention-heads 12 --kv-channels 64 --ffn-hidden-size 3072 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 5_517_578 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-146moscareap --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 5_517_578 --lr-warmup-samples 55_176 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_146moscareap --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_146moscareap --load checkpoints_146moscareap --data-path /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2085658.json --zero-stage 0 START 2085658: Tue Nov 29 17:04:19 EET 2022 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 42.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 46.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 44.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 44.0c 94.0W 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 ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 46.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 49.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 46.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 41.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 40.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 46.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 47.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 42.0c 97.0W 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 49.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 45.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 4: Launching on nid005064 (4/8), master nid005060 port 9999, GPUs 8, CUDA: True 6: Launching on nid005066 (6/8), master nid005060 port 9999, GPUs 8, CUDA: True 1: Launching on nid005061 (1/8), master nid005060 port 9999, GPUs 8, CUDA: True 5: Launching on nid005065 (5/8), master nid005060 port 9999, GPUs 8, CUDA: True 0: Launching on nid005060 (0/8), master nid005060 port 9999, GPUs 8, CUDA: True 3: Launching on nid005063 (3/8), master nid005060 port 9999, GPUs 8, CUDA: True 7: Launching on nid005067 (7/8), master nid005060 port 9999, GPUs 8, CUDA: True 2: Launching on nid005062 (2/8), master nid005060 port 9999, GPUs 8, CUDA: True 0: using world size: 64, data-parallel-size: 64, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... False 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 64 0: data_path ....................................... ['/scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document'] 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/2085658.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 1000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 3072 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 768 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-146moscareap 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_146moscareap 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 ................................ 5517578 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 55176 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 4 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 12 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 15 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: 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_146moscareap 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_146moscareap 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 ................................... 5517578 0: train_tokens .................................... None 0: train_weighted_split_paths ...................... None 0: train_weighted_split_paths_path ................. None 0: universal_checkpoint ............................ False 0: use_bnb_optimizer ............................... False 0: use_checkpoint_lr_scheduler ..................... False 0: use_contiguous_buffers_in_ddp ................... True 0: use_cpu_initialization .......................... None 0: use_one_sent_docs ............................... False 0: use_pin_memory .................................. False 0: valid_num_workers ............................... 2 0: valid_weighted_split_names ...................... None 0: valid_weighted_split_paths ...................... None 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... None 0: valid_weighted_split_weights .................... None 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 64 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2022-11-29 17:05:15,927] [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: 0.114 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.o scaled_upper_triang_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: [1/1] c++ scaled_masked_softmax_hip.cuda.o scaled_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_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: ninja: no work to do. 0: >>> done with compiling and loading fused kernels. Compilation time: 16.168 seconds 0: time to initialize megatron (seconds): 63.502 0: [after megatron is initialized] datetime: 2022-11-29 17:05:35 0: building GPT model ... 0: [2022-11-29 17:05:35,555] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-29 17:05:35,555] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.0 GB Max_CA 0 GB 0: [2022-11-29 17:05:35,556] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.88 GB, percent = 5.9% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63} 0: [2022-11-29 17:05:37,558] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=22 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: undo 0: 19: MixedFusedLayerNorm 0: 20: EmbeddingPipe 0: 21: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-29 17:05:37,700] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-29 17:05:37,701] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.28 GB CA 0.29 GB Max_CA 0 GB 0: [2022-11-29 17:05:37,701] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.91 GB, percent = 5.9% 0: setting training iterations to 21553 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-29 17:05:37,703] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-29 17:05:48,282] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-29 17:05:48,282] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-29 17:05:48,283] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-29 17:05:48,287] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-29 17:05:48,287] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-29 17:05:48,333] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-29 17:05:48,333] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.29 GB CA 0.31 GB Max_CA 0 GB 0: [2022-11-29 17:05:48,333] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.58 GB, percent = 6.1% 0: ninja: no work to do. 0: Time to load utils op: 0.1854405403137207 seconds 0: Time to load utils op: 0.20511341094970703 seconds 0: Time to load utils op: 0.2054591178894043 seconds 0: Time to load utils op: 0.20521926879882812 seconds 0: Time to load utils op: 0.2058553695678711 seconds 0: Time to 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seconds 7: 5: Time to load utils op: 0.22706842422485352 secondsTime to load utils op: 0.2270674705505371 seconds 5: 5: Time to load utils op: 0.22707414627075195 seconds 5: Time to load utils op: 0.22711825370788574 secondsTime to load utils op: 0.22712087631225586 seconds 5: 5: Time to load utils op: 0.2271287441253662 seconds 5: Time to load utils op: 0.22713661193847656 secondsTime to load utils op: 0.22714710235595703 seconds 5: 3: Time to load utils op: 0.23506689071655273 seconds 1: Time to load utils op: 0.2351374626159668 secondsTime to load utils op: 0.23514080047607422 seconds 1: 3: Time to load utils op: 0.23509716987609863 seconds 1: Time to load utils op: 0.2351851463317871 seconds 1: Time to load utils op: 0.2351994514465332 seconds 1: Time to load utils op: 0.23519349098205566 seconds 4: Time to load utils op: 0.23491311073303223 secondsTime to load utils op: 0.23490214347839355 seconds 4: 4: Time to load utils op: 0.2349250316619873 seconds 3: Time to load utils op: 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Time to load utils op: 0.23576784133911133 seconds 2: Time to load utils op: 0.23577404022216797 seconds 2: Time to load utils op: 0.23576641082763672 seconds 0: [2022-11-29 17:05:48,583] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-29 17:05:48,584] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.28 GB CA 0.31 GB Max_CA 0 GB 0: [2022-11-29 17:05:48,584] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.58 GB, percent = 6.1% 0: Time to load utils op: 0.0006055831909179688 seconds 0: Time to load utils op: 0.0005714893341064453 seconds 0: Time to load utils op: 0.0006036758422851562 seconds 0: Time to load utils op: 0.0005228519439697266 seconds 0: Time to load utils op: 0.0005788803100585938 seconds 0: Time to load utils op: 0.0005946159362792969 seconds 0: Time to load utils op: 0.00052642822265625 seconds 7: Time to load utils op: 0.00118255615234375 seconds 7: Time to load utils op: 0.001276254653930664 seconds 7: Time 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Time to load utils op: 0.0012798309326171875 seconds 3: Time to load utils op: 0.0013165473937988281 seconds 0: [2022-11-29 17:05:48,635] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 4: Time to load utils op: 0.0007605552673339844 seconds 4: Time to load utils op: 0.0008978843688964844 seconds 4: Time to load utils op: 0.0008845329284667969 seconds 4: Time to load utils op: 0.0009028911590576172 seconds 4: Time to load utils op: 0.0010044574737548828 seconds 4: Time to load utils op: 0.001007080078125 secondsTime to load utils op: 0.0009655952453613281 seconds 4: 0: [2022-11-29 17:05:48,635] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 4: Time to load utils op: 0.001071929931640625 seconds 0: [2022-11-29 17:05:48,636] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.69 GB, percent = 6.1% 1: Time to load utils op: 0.0008280277252197266 seconds 1: Time to load utils op: 0.0009031295776367188 secondsTime to load utils op: 0.0009334087371826172 seconds 1: 1: Time to load utils op: 0.0011057853698730469 secondsTime to load utils op: 0.001163482666015625 seconds 1: 1: Time to load utils op: 0.0011248588562011719 secondsTime to load utils op: 0.0011985301971435547 seconds 1: 1: Time to load utils op: 0.0011789798736572266 seconds 0: [2022-11-29 17:05:48,669] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-29 17:05:48,670] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 0: [2022-11-29 17:05:48,670] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.72 GB, percent = 6.1% 0: [2022-11-29 17:05:48,702] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-29 17:05:48,703] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-29 17:05:48,703] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.72 GB, percent = 6.1% 0: [2022-11-29 17:05:48,733] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-29 17:05:48,734] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-29 17:05:48,734] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.72 GB, percent = 6.1% 0: [2022-11-29 17:05:48,767] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-29 17:05:48,767] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-29 17:05:48,767] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.72 GB, percent = 6.1% 0: [2022-11-29 17:05:48,797] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-29 17:05:48,798] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-29 17:05:48,798] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.72 GB, percent = 6.1% 0: [2022-11-29 17:05:48,833] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-29 17:05:48,834] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-29 17:05:48,834] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.72 GB, percent = 6.1% 0: [2022-11-29 17:05:48,865] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-29 17:05:48,865] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2022-11-29 17:05:48,865] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.72 GB, percent = 6.1% 0: [2022-11-29 17:05:48,866] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-29 17:05:48,866] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-29 17:05:48,866] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-29 17:05:48,866] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: [2022-11-29 17:05:48,866] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-29 17:05:48,866] [INFO] [config.py:1011:print] activation_checkpointing_config { 0: "partition_activations": false, 0: "contiguous_memory_optimization": false, 0: "cpu_checkpointing": false, 0: "number_checkpoints": null, 0: "synchronize_checkpoint_boundary": false, 0: "profile": false 0: } 0: [2022-11-29 17:05:48,866] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-29 17:05:48,866] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-29 17:05:48,866] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] autotuning_config ............ { 0: "enabled": false, 0: "start_step": null, 0: "end_step": null, 0: "metric_path": null, 0: "arg_mappings": null, 0: "metric": "throughput", 0: "model_info": null, 0: "results_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_results", 0: "exps_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_exps", 0: "overwrite": true, 0: "fast": true, 0: "start_profile_step": 3, 0: "end_profile_step": 5, 0: "tuner_type": "gridsearch", 0: "tuner_early_stopping": 5, 0: "tuner_num_trials": 50, 0: "model_info_path": null, 0: "mp_size": 1, 0: "max_train_batch_size": null, 0: "min_train_batch_size": 1, 0: "max_train_micro_batch_size_per_gpu": 1.024000e+03, 0: "min_train_micro_batch_size_per_gpu": 1, 0: "num_tuning_micro_batch_sizes": 3 0: } 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_pa 0: rameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] flops_profiler_config ........ { 0: "enabled": false, 0: "profile_step": 1, 0: "module_depth": -1, 0: "top_modules": 1, 0: "detailed": true, 0: "output_file": null 0: } 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-29 17:05:48,867] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] nebula_config ................ { 0: "enabled": false, 0: "persistent_storage_path": null, 0: "persistent_time_interval": 100, 0: "num_of_version_in_retention": 2, 0: "enable_nebula_load": true, 0: "load_path": null 0: } 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-29 17:05:48,868] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-29 17:05:48,868] [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: 0.0003962516784667969 seconds 0: [2022-11-29 17:05:48,869] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-29 17:05:48,921] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=22 [0, 22) STAGE_PARAMS=146525952 (146.526M) TOTAL_PARAMS=146525952 (146.526M) UNIQUE_PARAMS=146525952 (146.526M) 0: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/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_146moscareap 0: will not load any checkpoints and will start from random 6: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,927] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,928] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 17:05:48,929] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146moscareap/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: 5.56 0: estimated model parameters: 0.146525952 0: estimated model parameters without embeddings: 0.106319616 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-29 17:05:49 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 5517578 0: validation: 5632 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 0.024771 seconds 0: number of documents: 431992659 0: > dataset split: 0: train: 0: document indices in [0, 409961033) total of 409961033 documents 0: validation: 0: document indices in [409961033, 431560666) total of 21599633 documents 0: test: 0: document indices in [431560666, 431992659) total of 431993 documents 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 29.403373 0: using: 0: number of documents: 409961033 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 262636457 0: > elasped time to build and save sample-idx mapping (seconds): 7.771299 0: > building shuffle index with split [0, 262636457) and [262636457, 262636457) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 14.656659 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_5517578ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_5517578ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_5517578ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.911 seconds 0: total number of samples: 262636458 0: total number of epochs: 1 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 1.248159 0: using: 0: number of documents: 21599633 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 13852049 0: > elasped time to build and save sample-idx mapping (seconds): 0.423639 0: > building shuffle index with split [0, 13852049) and [13852049, 13852049) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.513238 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_5632ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_5632ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_5632ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.048 seconds 0: total number of samples: 13852050 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_test_indexmap_256ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_test_indexmap_256ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_test_indexmap_256ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.045 seconds 0: total number of samples: 276852 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-29 17:07:01 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: 13673.35 | train/valid/test-data-iterators-setup: 71300.98 0: [000-000] 0.1465B / 0.1063B 0: [before the start of training step] datetime: 2022-11-29 17:07:01 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 2734.17236328125 | max allocated: 22586.583984375 | reserved: 23360.0 | max reserved: 23360.0 7: iteration 10/ 21553 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.48 | learning rate: 9.279E-06 | global batch size: 256 | lm loss: 1.066109E+01 | grad norm: 5.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 173.131 | TFLOPs: 6.06 | 7: iteration 20/ 21553 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.31 | learning rate: 1.856E-05 | global batch size: 256 | lm loss: 9.809862E+00 | grad norm: 1.951 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.714 | TFLOPs: 28.63 | 7: iteration 30/ 21553 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.33 | learning rate: 2.784E-05 | global batch size: 256 | lm loss: 9.543860E+00 | grad norm: 1.774 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 785.308 | TFLOPs: 27.49 | 7: iteration 40/ 21553 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.31 | learning rate: 3.712E-05 | global batch size: 256 | lm loss: 9.172691E+00 | grad norm: 1.631 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.159 | TFLOPs: 28.71 | 7: iteration 50/ 21553 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.32 | learning rate: 4.640E-05 | global batch size: 256 | lm loss: 8.768566E+00 | grad norm: 1.661 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.737 | TFLOPs: 28.21 | 7: iteration 60/ 21553 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.31 | learning rate: 5.568E-05 | global batch size: 256 | lm loss: 8.361397E+00 | grad norm: 1.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.520 | TFLOPs: 28.65 | 7: iteration 70/ 21553 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.32 | learning rate: 6.496E-05 | global batch size: 256 | lm loss: 7.977834E+00 | grad norm: 1.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.895 | TFLOPs: 28.32 | 7: iteration 80/ 21553 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.32 | learning rate: 7.424E-05 | global batch size: 256 | lm loss: 7.666939E+00 | grad norm: 1.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.397 | TFLOPs: 28.23 | 7: iteration 90/ 21553 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.32 | learning rate: 8.351E-05 | global batch size: 256 | lm loss: 7.362474E+00 | grad norm: 1.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.858 | TFLOPs: 27.97 | 7: iteration 100/ 21553 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.31 | learning rate: 9.279E-05 | global batch size: 256 | lm loss: 7.197829E+00 | grad norm: 1.104 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.382 | TFLOPs: 28.79 | 7: iteration 110/ 21553 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.32 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 7.048285E+00 | grad norm: 1.045 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.060 | TFLOPs: 28.29 | 7: iteration 120/ 21553 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.33 | learning rate: 1.114E-04 | global batch size: 256 | lm loss: 6.950978E+00 | grad norm: 1.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 771.625 | TFLOPs: 27.01 | 7: iteration 130/ 21553 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.32 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 6.802317E+00 | grad norm: 0.934 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.483 | TFLOPs: 28.34 | 7: iteration 140/ 21553 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.33 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 6.743581E+00 | grad norm: 0.950 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.742 | TFLOPs: 27.54 | 7: iteration 150/ 21553 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.32 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 6.639964E+00 | grad norm: 0.711 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.890 | TFLOPs: 28.21 | 7: iteration 160/ 21553 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.31 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 6.580158E+00 | grad norm: 0.972 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.166 | TFLOPs: 29.03 | 7: iteration 170/ 21553 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.33 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 6.526424E+00 | grad norm: 1.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 773.227 | TFLOPs: 27.07 | 7: iteration 180/ 21553 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.31 | learning rate: 1.670E-04 | global batch size: 256 | lm loss: 6.450418E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.775 | TFLOPs: 29.01 | 7: iteration 190/ 21553 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.31 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 6.395010E+00 | grad norm: 1.030 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.574 | TFLOPs: 28.62 | 7: iteration 200/ 21553 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.31 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 6.372811E+00 | grad norm: 0.902 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.088 | TFLOPs: 28.78 | 7: iteration 210/ 21553 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.31 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 6.286521E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.392 | TFLOPs: 28.93 | 7: iteration 220/ 21553 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.254720E+00 | grad norm: 0.923 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.824 | TFLOPs: 27.86 | 7: iteration 230/ 21553 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.175033E+00 | grad norm: 0.781 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.908 | TFLOPs: 28.60 | 7: iteration 240/ 21553 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.35 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.109267E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 736.705 | TFLOPs: 25.79 | 7: iteration 250/ 21553 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.33 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.103474E+00 | grad norm: 0.868 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 783.422 | TFLOPs: 27.43 | 7: iteration 260/ 21553 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.074475E+00 | grad norm: 0.950 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.510 | TFLOPs: 29.07 | 7: iteration 270/ 21553 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.022895E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.084 | TFLOPs: 27.87 | 7: iteration 280/ 21553 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.004956E+00 | grad norm: 1.066 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.931 | TFLOPs: 28.49 | 7: iteration 290/ 21553 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.967760E+00 | grad norm: 0.979 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.262 | TFLOPs: 28.93 | 7: iteration 300/ 21553 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.911633E+00 | grad norm: 1.011 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.581 | TFLOPs: 28.13 | 7: iteration 310/ 21553 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.876690E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.663 | TFLOPs: 28.45 | 7: iteration 320/ 21553 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.842651E+00 | grad norm: 1.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.278 | TFLOPs: 28.37 | 7: iteration 330/ 21553 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.824531E+00 | grad norm: 0.998 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 793.148 | TFLOPs: 27.77 | 7: iteration 340/ 21553 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.799118E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.650 | TFLOPs: 28.13 | 7: iteration 350/ 21553 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.746695E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.949 | TFLOPs: 28.53 | 7: iteration 360/ 21553 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.733448E+00 | grad norm: 1.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.143 | TFLOPs: 28.40 | 7: iteration 370/ 21553 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.708457E+00 | grad norm: 1.113 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.955 | TFLOPs: 28.56 | 7: iteration 380/ 21553 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.33 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.634396E+00 | grad norm: 0.841 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 770.903 | TFLOPs: 26.99 | 7: iteration 390/ 21553 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.645324E+00 | grad norm: 0.951 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.600 | TFLOPs: 28.66 | 7: iteration 400/ 21553 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.593137E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.881 | TFLOPs: 29.16 | 7: iteration 410/ 21553 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.549834E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.461 | TFLOPs: 28.48 | 7: iteration 420/ 21553 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.556754E+00 | grad norm: 0.863 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.074 | TFLOPs: 28.60 | 7: iteration 430/ 21553 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.31 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.499828E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.528 | TFLOPs: 28.86 | 7: iteration 440/ 21553 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.474654E+00 | grad norm: 0.885 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 788.167 | TFLOPs: 27.59 | 7: iteration 450/ 21553 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.453230E+00 | grad norm: 0.900 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.814 | TFLOPs: 28.31 | 7: iteration 460/ 21553 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.452872E+00 | grad norm: 0.880 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.434 | TFLOPs: 29.00 | 7: iteration 470/ 21553 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.401311E+00 | grad norm: 0.995 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.771 | TFLOPs: 28.45 | 7: iteration 480/ 21553 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.406313E+00 | grad norm: 1.045 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.842 | TFLOPs: 28.28 | 7: iteration 490/ 21553 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.375214E+00 | grad norm: 0.955 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.604 | TFLOPs: 28.97 | 7: iteration 500/ 21553 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.352453E+00 | grad norm: 0.865 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 793.350 | TFLOPs: 27.77 | 7: iteration 510/ 21553 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.322059E+00 | grad norm: 0.826 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.843 | TFLOPs: 28.63 | 7: iteration 520/ 21553 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.272181E+00 | grad norm: 0.866 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.305 | TFLOPs: 27.74 | 7: iteration 530/ 21553 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.256516E+00 | grad norm: 0.795 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.838 | TFLOPs: 28.04 | 7: iteration 540/ 21553 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.255307E+00 | grad norm: 1.110 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.214 | TFLOPs: 28.29 | 7: iteration 550/ 21553 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.215833E+00 | grad norm: 1.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.574 | TFLOPs: 28.20 | 7: iteration 560/ 21553 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.183479E+00 | grad norm: 1.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.490 | TFLOPs: 28.58 | 7: iteration 570/ 21553 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.33 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.150847E+00 | grad norm: 1.034 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 769.558 | TFLOPs: 26.94 | 7: iteration 580/ 21553 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.32 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.137214E+00 | grad norm: 0.819 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.344 | TFLOPs: 27.67 | 7: iteration 590/ 21553 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.121592E+00 | grad norm: 1.105 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.764 | TFLOPs: 29.22 | 7: iteration 600/ 21553 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.077212E+00 | grad norm: 0.873 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.819 | TFLOPs: 29.12 | 7: iteration 610/ 21553 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.32 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.043966E+00 | grad norm: 0.909 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.482 | TFLOPs: 28.02 | 7: iteration 620/ 21553 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.027021E+00 | grad norm: 0.880 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.441 | TFLOPs: 28.72 | 7: iteration 630/ 21553 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.012317E+00 | grad norm: 1.041 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.722 | TFLOPs: 28.63 | 7: iteration 640/ 21553 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.996245E+00 | grad norm: 1.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.980 | TFLOPs: 29.06 | 7: iteration 650/ 21553 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.939416E+00 | grad norm: 1.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.256 | TFLOPs: 28.64 | 7: iteration 660/ 21553 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.939497E+00 | grad norm: 1.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.936 | TFLOPs: 28.56 | 7: iteration 670/ 21553 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.889921E+00 | grad norm: 1.040 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.452 | TFLOPs: 28.48 | 7: iteration 680/ 21553 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.865115E+00 | grad norm: 0.937 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.502 | TFLOPs: 28.69 | 7: iteration 690/ 21553 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.33 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.852061E+00 | grad norm: 1.107 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 783.986 | TFLOPs: 27.45 | 7: iteration 700/ 21553 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.828179E+00 | grad norm: 1.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.943 | TFLOPs: 29.05 | 7: iteration 710/ 21553 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.779774E+00 | grad norm: 0.997 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.480 | TFLOPs: 29.00 | 7: iteration 720/ 21553 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.771882E+00 | grad norm: 1.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.769 | TFLOPs: 29.01 | 7: iteration 730/ 21553 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.31 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.722205E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.822 | TFLOPs: 28.84 | 7: iteration 740/ 21553 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.31 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.691141E+00 | grad norm: 1.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.384 | TFLOPs: 28.51 | 7: iteration 750/ 21553 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.31 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.642891E+00 | grad norm: 1.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.648 | TFLOPs: 28.62 | 7: iteration 760/ 21553 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.31 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.616951E+00 | grad norm: 1.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.832 | TFLOPs: 28.56 | 7: iteration 770/ 21553 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.31 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.590213E+00 | grad norm: 1.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.131 | TFLOPs: 28.75 | 7: iteration 780/ 21553 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.32 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.565181E+00 | grad norm: 0.858 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.553 | TFLOPs: 28.20 | 7: iteration 790/ 21553 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.32 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.537123E+00 | grad norm: 1.033 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.237 | TFLOPs: 28.43 | 7: iteration 800/ 21553 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.31 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.536582E+00 | grad norm: 1.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.761 | TFLOPs: 28.49 | 7: iteration 810/ 21553 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.32 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.499851E+00 | grad norm: 1.021 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.692 | TFLOPs: 28.42 | 7: iteration 820/ 21553 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.440710E+00 | grad norm: 1.005 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.483 | TFLOPs: 28.83 | 7: iteration 830/ 21553 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.32 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.475616E+00 | grad norm: 1.007 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.169 | TFLOPs: 27.94 | 7: iteration 840/ 21553 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.32 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.452062E+00 | grad norm: 0.801 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.581 | TFLOPs: 27.89 | 7: iteration 850/ 21553 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.32 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.401528E+00 | grad norm: 0.988 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.230 | TFLOPs: 28.19 | 7: iteration 860/ 21553 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.377635E+00 | grad norm: 1.041 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.406 | TFLOPs: 28.86 | 7: iteration 870/ 21553 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.378871E+00 | grad norm: 0.825 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.060 | TFLOPs: 28.67 | 7: iteration 880/ 21553 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.32 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.339180E+00 | grad norm: 0.987 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.678 | TFLOPs: 28.38 | 7: iteration 890/ 21553 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.31 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.325839E+00 | grad norm: 1.059 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.566 | TFLOPs: 28.83 | 7: iteration 900/ 21553 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.32 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.354144E+00 | grad norm: 0.948 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.680 | TFLOPs: 27.68 | 7: iteration 910/ 21553 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.336571E+00 | grad norm: 1.030 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.479 | TFLOPs: 28.69 | 7: iteration 920/ 21553 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.277897E+00 | grad norm: 0.844 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.557 | TFLOPs: 29.18 | 7: iteration 930/ 21553 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.31 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.258017E+00 | grad norm: 0.765 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.095 | TFLOPs: 28.60 | 7: iteration 940/ 21553 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.32 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.227305E+00 | grad norm: 0.677 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.706 | TFLOPs: 28.17 | 7: iteration 950/ 21553 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.32 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.230376E+00 | grad norm: 0.672 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.959 | TFLOPs: 28.39 | 7: iteration 960/ 21553 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.32 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.231272E+00 | grad norm: 1.107 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 791.528 | TFLOPs: 27.71 | 7: iteration 970/ 21553 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.223045E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.399 | TFLOPs: 29.21 | 7: iteration 980/ 21553 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.32 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.214310E+00 | grad norm: 0.823 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.998 | TFLOPs: 28.01 | 7: iteration 990/ 21553 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.182174E+00 | grad norm: 0.938 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.662 | TFLOPs: 28.52 | 7: iteration 1000/ 21553 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.211174E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.967 | TFLOPs: 29.23 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 4.014799E+00 | lm loss PPL: 5.541214E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_146moscareap 0: [2022-11-29 17:12:29,240] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-29 17:12:29,261] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:12:29,350] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step1000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:12:29,351] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step1000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:12:29,367] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: [2022-11-29 17:12:29,700] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:12:29,700] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 469.62 7: iteration 1010/ 21553 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.38 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.167470E+00 | grad norm: 1.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 677.959 | TFLOPs: 23.73 | 7: iteration 1020/ 21553 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.32 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.171522E+00 | grad norm: 0.681 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.749 | TFLOPs: 28.35 | 7: iteration 1030/ 21553 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.31 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.153846E+00 | grad norm: 0.861 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.904 | TFLOPs: 28.95 | 7: iteration 1040/ 21553 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.32 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.123785E+00 | grad norm: 0.966 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.631 | TFLOPs: 28.24 | 7: iteration 1050/ 21553 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.33 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.132008E+00 | grad norm: 0.978 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 782.226 | TFLOPs: 27.38 | 7: iteration 1060/ 21553 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.126169E+00 | grad norm: 0.755 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.120 | TFLOPs: 28.50 | 7: iteration 1070/ 21553 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.099335E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.743 | TFLOPs: 28.87 | 7: iteration 1080/ 21553 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.32 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.087637E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.682 | TFLOPs: 28.45 | 7: iteration 1090/ 21553 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.31 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.094578E+00 | grad norm: 0.611 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.541 | TFLOPs: 29.07 | 7: iteration 1100/ 21553 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.076498E+00 | grad norm: 0.698 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.669 | TFLOPs: 29.08 | 7: iteration 1110/ 21553 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.32 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.041076E+00 | grad norm: 0.622 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 794.046 | TFLOPs: 27.80 | 7: iteration 1120/ 21553 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.041511E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.739 | TFLOPs: 28.63 | 7: iteration 1130/ 21553 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.32 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.038694E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.629 | TFLOPs: 27.89 | 7: iteration 1140/ 21553 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.31 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.047325E+00 | grad norm: 0.629 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.954 | TFLOPs: 28.91 | 7: iteration 1150/ 21553 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.030787E+00 | grad norm: 1.014 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.365 | TFLOPs: 28.79 | 7: iteration 1160/ 21553 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.045963E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.074 | TFLOPs: 28.71 | 7: iteration 1170/ 21553 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.033577E+00 | grad norm: 0.790 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.140 | TFLOPs: 28.99 | 7: iteration 1180/ 21553 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.016236E+00 | grad norm: 0.725 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.402 | TFLOPs: 29.07 | 7: iteration 1190/ 21553 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.064274E+00 | grad norm: 0.642 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.751 | TFLOPs: 28.94 | 7: iteration 1200/ 21553 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.31 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.001836E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.025 | TFLOPs: 28.74 | 7: iteration 1210/ 21553 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.33 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.987305E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 774.856 | TFLOPs: 27.13 | 7: iteration 1220/ 21553 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.31 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.993578E+00 | grad norm: 0.810 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.326 | TFLOPs: 28.68 | 7: iteration 1230/ 21553 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.31 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.983152E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.492 | TFLOPs: 28.55 | 7: iteration 1240/ 21553 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.31 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.010371E+00 | grad norm: 0.630 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.561 | TFLOPs: 29.18 | 7: iteration 1250/ 21553 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.30 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.973061E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.956 | TFLOPs: 29.40 | 7: iteration 1260/ 21553 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.977309E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.328 | TFLOPs: 29.35 | 7: iteration 1270/ 21553 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.32 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.973532E+00 | grad norm: 0.720 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.770 | TFLOPs: 28.21 | 7: iteration 1280/ 21553 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.956145E+00 | grad norm: 0.661 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.352 | TFLOPs: 28.68 | 7: iteration 1290/ 21553 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.944550E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.811 | TFLOPs: 28.63 | 7: iteration 1300/ 21553 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.959758E+00 | grad norm: 0.609 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.847 | TFLOPs: 28.60 | 7: iteration 1310/ 21553 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.31 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.948388E+00 | grad norm: 0.851 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.935 | TFLOPs: 29.16 | 7: iteration 1320/ 21553 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.32 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.936448E+00 | grad norm: 0.594 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.059 | TFLOPs: 28.43 | 7: iteration 1330/ 21553 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.31 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.911626E+00 | grad norm: 0.618 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.405 | TFLOPs: 28.97 | 7: iteration 1340/ 21553 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.30 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.906049E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.482 | TFLOPs: 29.39 | 7: iteration 1350/ 21553 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.909462E+00 | grad norm: 0.802 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.993 | TFLOPs: 28.92 | 7: iteration 1360/ 21553 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.30 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.911971E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.397 | TFLOPs: 29.49 | 7: iteration 1370/ 21553 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.889517E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.717 | TFLOPs: 28.66 | 7: iteration 1380/ 21553 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.883092E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.829 | TFLOPs: 29.19 | 7: iteration 1390/ 21553 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.31 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.880702E+00 | grad norm: 0.702 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.680 | TFLOPs: 29.01 | 7: iteration 1400/ 21553 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.31 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.896849E+00 | grad norm: 0.680 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.597 | TFLOPs: 29.29 | 7: iteration 1410/ 21553 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.31 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.874232E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.507 | TFLOPs: 28.97 | 7: iteration 1420/ 21553 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.31 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.856738E+00 | grad norm: 0.676 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.473 | TFLOPs: 29.04 | 7: iteration 1430/ 21553 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.31 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.898909E+00 | grad norm: 0.771 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.249 | TFLOPs: 28.61 | 7: iteration 1440/ 21553 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.31 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.864341E+00 | grad norm: 0.628 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.704 | TFLOPs: 28.87 | 7: iteration 1450/ 21553 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.32 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.876783E+00 | grad norm: 0.605 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.917 | TFLOPs: 28.39 | 7: iteration 1460/ 21553 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.31 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.854893E+00 | grad norm: 0.658 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.186 | TFLOPs: 29.17 | 7: iteration 1470/ 21553 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.31 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.871917E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.174 | TFLOPs: 29.20 | 7: iteration 1480/ 21553 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.875094E+00 | grad norm: 0.684 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.469 | TFLOPs: 28.69 | 7: iteration 1490/ 21553 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.819224E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.786 | TFLOPs: 28.94 | 7: iteration 1500/ 21553 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.31 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.839270E+00 | grad norm: 0.654 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.540 | TFLOPs: 29.11 | 7: iteration 1510/ 21553 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.32 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.855684E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.491 | TFLOPs: 28.20 | 7: iteration 1520/ 21553 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.32 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.824246E+00 | grad norm: 0.523 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.440 | TFLOPs: 27.85 | 7: iteration 1530/ 21553 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.31 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.811898E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.905 | TFLOPs: 28.67 | 7: iteration 1540/ 21553 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.32 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.848633E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.288 | TFLOPs: 28.12 | 7: iteration 1550/ 21553 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.31 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.805587E+00 | grad norm: 0.548 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.075 | TFLOPs: 28.67 | 7: iteration 1560/ 21553 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.797489E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.530 | TFLOPs: 28.90 | 7: iteration 1570/ 21553 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.793907E+00 | grad norm: 0.685 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.556 | TFLOPs: 29.01 | 7: iteration 1580/ 21553 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.770703E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.395 | TFLOPs: 28.68 | 7: iteration 1590/ 21553 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.32 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.776468E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.731 | TFLOPs: 28.00 | 7: iteration 1600/ 21553 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.31 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.817098E+00 | grad norm: 0.747 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.952 | TFLOPs: 28.84 | 7: iteration 1610/ 21553 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.31 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.781022E+00 | grad norm: 0.620 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.331 | TFLOPs: 28.51 | 7: iteration 1620/ 21553 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.33 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.798191E+00 | grad norm: 0.796 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 782.002 | TFLOPs: 27.38 | 7: iteration 1630/ 21553 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.31 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.797713E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.956 | TFLOPs: 29.26 | 7: iteration 1640/ 21553 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.31 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.784192E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.368 | TFLOPs: 28.96 | 7: iteration 1650/ 21553 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.31 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.788105E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.069 | TFLOPs: 28.60 | 7: iteration 1660/ 21553 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.32 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.784713E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.149 | TFLOPs: 27.66 | 7: iteration 1670/ 21553 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.31 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.778352E+00 | grad norm: 0.547 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.061 | TFLOPs: 28.78 | 7: iteration 1680/ 21553 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.33 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.752776E+00 | grad norm: 0.579 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 783.673 | TFLOPs: 27.43 | 7: iteration 1690/ 21553 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.33 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.785247E+00 | grad norm: 0.718 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 783.383 | TFLOPs: 27.42 | 7: iteration 1700/ 21553 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.31 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.746379E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.882 | TFLOPs: 28.77 | 7: iteration 1710/ 21553 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.32 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.739465E+00 | grad norm: 0.706 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.722 | TFLOPs: 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| lm loss: 3.706792E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.827 | TFLOPs: 28.70 | 7: iteration 1870/ 21553 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.31 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.671445E+00 | grad norm: 0.655 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.234 | TFLOPs: 29.34 | 7: iteration 1880/ 21553 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.32 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.684677E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.319 | TFLOPs: 28.44 | 7: iteration 1890/ 21553 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 0.31 | learning rate: 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consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.32 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.683799E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 797.972 | TFLOPs: 27.93 | 7: iteration 1990/ 21553 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.31 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.670525E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.438 | TFLOPs: 28.69 | 0: [2022-11-29 17:17:42,811] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00019691153209285103, 0.00019691153209285103, 0.00019691153209285103], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 21553 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.33 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.675546E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 774.647 | TFLOPs: 27.12 | 0: steps: 2000 loss: 3.6656 iter time (s): 0.318 samples/sec: 803.963 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 3.562869E+00 | lm loss PPL: 3.526424E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_146moscareap 0: [2022-11-29 17:17:42,941] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-29 17:17:42,945] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:17:43,070] [INFO] 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6: [2022-11-29 17:17:43,403] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-29 17:17:43,405] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:17:43,405] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-29 17:17:43,405] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:17:43,406] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:43,406] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-29 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:17:43,407] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:43,407] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:43,407] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:17:43,408] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:17:43,408] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 0: [2022-11-29 17:17:43,408] [INFO] 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[Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:17:43,410] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-29 17:17:43,410] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-29 17:17:43,410] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:17:43,410] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-29 17:17:43,410] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:17:43,411] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:17:43,417] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 5: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:17:43,417] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:43,417] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-29 17:17:43,418] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:17:43,418] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-29 17:17:43,418] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:17:43,418] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:43,418] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:43,418] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:17:43,418] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:43,418] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:43,418] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:17:43,418] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:43,419] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:43,419] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:17:43,419] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:43,419] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:43,419] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-29 17:17:43,419] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:17:43,420] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-29 17:17:43,420] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:17:43,417] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 17:17:43,417] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2022-11-29 17:17:43,417] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:17:43,422] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:17:43,423] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:17:43,423] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:17:43,423] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:17:43,424] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 17:17:43,424] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 495.66 7: iteration 2010/ 21553 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.39 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.655590E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 664.240 | TFLOPs: 23.25 | 7: iteration 2020/ 21553 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.31 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.660426E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.959 | TFLOPs: 28.49 | 7: iteration 2030/ 21553 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.31 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.675495E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.236 | TFLOPs: 29.03 | 7: iteration 2040/ 21553 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.31 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.647219E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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iterations: 0 | samples per second: 820.060 | TFLOPs: 28.71 | 7: iteration 2080/ 21553 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.31 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.639613E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.846 | TFLOPs: 29.30 | 7: iteration 2090/ 21553 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.32 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.614852E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.284 | TFLOPs: 28.09 | 7: iteration 2100/ 21553 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.31 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.644157E+00 | grad norm: 0.479 | num zeros: 0.0 | number of 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0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.750 | TFLOPs: 29.12 | 7: iteration 2140/ 21553 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.31 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.635258E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.625 | TFLOPs: 28.48 | 7: iteration 2150/ 21553 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.31 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.628497E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.063 | TFLOPs: 28.95 | 7: iteration 2160/ 21553 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.31 | learning rate: 1.963E-04 | global batch size: 256 | 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.231 | TFLOPs: 28.54 | 7: iteration 2400/ 21553 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.31 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.555460E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.545 | TFLOPs: 28.94 | 7: iteration 2410/ 21553 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.31 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.580394E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.573 | TFLOPs: 29.29 | 7: iteration 2420/ 21553 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.31 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.555076E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.513 | TFLOPs: 28.90 | 7: iteration 2430/ 21553 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.31 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.578085E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.873 | TFLOPs: 28.56 | 7: iteration 2440/ 21553 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.31 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.566947E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.333 | TFLOPs: 28.68 | 7: iteration 2450/ 21553 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.31 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.581797E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.061 | TFLOPs: 28.64 | 7: iteration 2460/ 21553 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.31 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.548123E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.117 | TFLOPs: 28.61 | 7: iteration 2470/ 21553 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.31 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.566425E+00 | grad norm: 0.514 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.559 | TFLOPs: 28.52 | 7: iteration 2480/ 21553 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 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| elapsed time per iteration (s): 0.31 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.569177E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.236 | TFLOPs: 28.82 | 7: iteration 2520/ 21553 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.31 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.560616E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.507 | TFLOPs: 29.11 | 7: iteration 2530/ 21553 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.31 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.548184E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.052 | TFLOPs: 28.95 | 7: iteration 2540/ 21553 | consumed samples: 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second: 828.326 | TFLOPs: 29.00 | 7: iteration 2600/ 21553 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.33 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.523330E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 787.618 | TFLOPs: 27.57 | 7: iteration 2610/ 21553 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.31 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.526301E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.902 | TFLOPs: 28.98 | 7: iteration 2620/ 21553 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.32 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 3.523296E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.512 | TFLOPs: 28.34 | 7: iteration 2630/ 21553 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.31 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 3.515672E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.341 | TFLOPs: 28.61 | 7: iteration 2640/ 21553 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.31 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 3.545652E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.862 | TFLOPs: 28.67 | 7: iteration 2650/ 21553 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.32 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 3.499031E+00 | grad norm: 0.413 | num zeros: 0.0 | number 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norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.797 | TFLOPs: 29.05 | 7: iteration 2690/ 21553 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.32 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 3.495128E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.376 | TFLOPs: 28.37 | 7: iteration 2700/ 21553 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.31 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.517995E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.716 | TFLOPs: 29.05 | 7: iteration 2710/ 21553 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.32 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.515532E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.334 | TFLOPs: 27.88 | 7: iteration 2720/ 21553 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.32 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.506565E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.007 | TFLOPs: 28.39 | 7: iteration 2730/ 21553 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.31 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.519918E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.711 | TFLOPs: 28.70 | 7: iteration 2740/ 21553 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.31 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.496447E+00 | grad norm: 0.456 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.240 | TFLOPs: 28.89 | 7: iteration 2750/ 21553 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.31 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.498393E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.704 | TFLOPs: 28.84 | 7: iteration 2760/ 21553 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.30 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.537300E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.558 | TFLOPs: 29.57 | 7: iteration 2770/ 21553 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.31 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 3.503557E+00 | grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.850 | TFLOPs: 28.60 | 7: iteration 2780/ 21553 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.32 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 3.493037E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.970 | TFLOPs: 28.21 | 7: iteration 2790/ 21553 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.31 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 3.521471E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.004 | TFLOPs: 28.92 | 7: iteration 2800/ 21553 | consumed samples: 716800 | consumed 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consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.32 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.479000E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.766 | TFLOPs: 28.21 | 7: iteration 2840/ 21553 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.32 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.494944E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.768 | TFLOPs: 27.75 | 7: iteration 2850/ 21553 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.31 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.512753E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.925 | TFLOPs: 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samples per second: 824.386 | TFLOPs: 28.86 | 7: iteration 2890/ 21553 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.30 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.472965E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.012 | TFLOPs: 29.44 | 7: iteration 2900/ 21553 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.32 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.493909E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.151 | TFLOPs: 28.29 | 7: iteration 2910/ 21553 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.32 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 3.499267E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.847 | TFLOPs: 27.86 | 7: iteration 2920/ 21553 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.31 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 3.472324E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.171 | TFLOPs: 28.99 | 7: iteration 2930/ 21553 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.30 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.456403E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.532 | TFLOPs: 29.70 | 7: iteration 2940/ 21553 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.31 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.518546E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.967 | TFLOPs: 29.02 | 7: iteration 2950/ 21553 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.31 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.454708E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.420 | TFLOPs: 28.62 | 7: iteration 2960/ 21553 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.31 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.456454E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.176 | TFLOPs: 28.64 | 7: iteration 2970/ 21553 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.32 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 3.461602E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.375 | TFLOPs: 27.84 | 7: iteration 2980/ 21553 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.31 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.512925E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.986 | TFLOPs: 29.02 | 7: iteration 2990/ 21553 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.31 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.462684E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.348 | TFLOPs: 29.28 | 7: iteration 3000/ 21553 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.46 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.456803E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 555.870 | TFLOPs: 19.46 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 3.278690E+00 | lm loss PPL: 2.654097E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_146moscareap 0: [2022-11-29 17:22:57,574] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-29 17:22:57,578] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:22:57,663] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step3000/layer_01-model_00-model_states.pt. 0: 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rate: 1.924E-04 | global batch size: 256 | lm loss: 3.476803E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.050 | TFLOPs: 29.51 | 7: iteration 3030/ 21553 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.31 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.456575E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.952 | TFLOPs: 28.95 | 7: iteration 3040/ 21553 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.30 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.480091E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.644 | TFLOPs: 29.53 | 7: iteration 3050/ 21553 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.31 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.472866E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.983 | TFLOPs: 28.88 | 7: iteration 3060/ 21553 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.31 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.440870E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.203 | TFLOPs: 28.75 | 7: iteration 3070/ 21553 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.31 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.475681E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.673 | TFLOPs: 29.04 | 7: iteration 3080/ 21553 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.31 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 3.477208E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.155 | TFLOPs: 28.99 | 7: iteration 3090/ 21553 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.31 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 3.477097E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.767 | TFLOPs: 29.33 | 7: iteration 3100/ 21553 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.31 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.457980E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.925 | TFLOPs: 29.02 | 7: iteration 3110/ 21553 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.31 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.459182E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.432 | TFLOPs: 28.72 | 7: iteration 3120/ 21553 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.31 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 3.471674E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.373 | TFLOPs: 28.96 | 7: iteration 3130/ 21553 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.32 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.472932E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.972 | TFLOPs: 28.42 | 7: iteration 3140/ 21553 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.34 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.448461E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 762.298 | TFLOPs: 26.69 | 7: iteration 3150/ 21553 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.31 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.438631E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.328 | TFLOPs: 29.10 | 7: iteration 3160/ 21553 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.31 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.437082E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.932 | TFLOPs: 29.16 | 7: iteration 3170/ 21553 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.31 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.438639E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.076 | TFLOPs: 28.92 | 7: iteration 3180/ 21553 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.31 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.452491E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.967 | TFLOPs: 28.98 | 7: iteration 3190/ 21553 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.31 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.426838E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.069 | TFLOPs: 28.74 | 7: iteration 3200/ 21553 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.31 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.477436E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.845 | TFLOPs: 29.02 | 7: iteration 3210/ 21553 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.31 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.443152E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.699 | TFLOPs: 29.08 | 7: iteration 3220/ 21553 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.30 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.446963E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.177 | TFLOPs: 29.59 | 7: iteration 3230/ 21553 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.31 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.430746E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.307 | TFLOPs: 29.21 | 7: iteration 3240/ 21553 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.31 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.428559E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.625 | TFLOPs: 29.25 | 7: iteration 3250/ 21553 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.31 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.413074E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.437 | TFLOPs: 28.58 | 7: iteration 3260/ 21553 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.33 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 3.412466E+00 | grad norm: 0.449 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 778.664 | TFLOPs: 27.26 | 7: iteration 3270/ 21553 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.31 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 3.450068E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.594 | TFLOPs: 28.73 | 7: iteration 3280/ 21553 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.31 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.429953E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.443 | TFLOPs: 28.65 | 7: iteration 3290/ 21553 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.33 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.415826E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.890 | TFLOPs: 27.48 | 7: iteration 3300/ 21553 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.43 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.434409E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 590.224 | TFLOPs: 20.66 | 7: iteration 3310/ 21553 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.32 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.431649E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.381 | TFLOPs: 28.09 | 7: iteration 3320/ 21553 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.31 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.411355E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.213 | TFLOPs: 28.71 | 7: iteration 3330/ 21553 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.31 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.437975E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.055 | TFLOPs: 29.16 | 7: iteration 3340/ 21553 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.31 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.442400E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.721 | TFLOPs: 28.70 | 7: iteration 3350/ 21553 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.31 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.419907E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.876 | TFLOPs: 28.53 | 7: iteration 3360/ 21553 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.31 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.404297E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.572 | TFLOPs: 28.48 | 7: iteration 3370/ 21553 | consumed samples: 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iteration 3400/ 21553 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.32 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.390908E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.965 | TFLOPs: 28.11 | 7: iteration 3410/ 21553 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.31 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 3.412766E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.902 | TFLOPs: 28.88 | 7: iteration 3420/ 21553 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.31 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 3.382483E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.488 | TFLOPs: 28.93 | 7: iteration 3430/ 21553 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.31 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 3.422618E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.337 | TFLOPs: 28.82 | 7: iteration 3440/ 21553 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.34 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.422724E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 757.547 | TFLOPs: 26.52 | 7: iteration 3450/ 21553 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.31 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.438011E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.746 | TFLOPs: 28.80 | 7: iteration 3460/ 21553 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.31 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.408802E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.061 | TFLOPs: 29.16 | 7: iteration 3470/ 21553 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.30 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.409819E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.693 | TFLOPs: 29.54 | 7: iteration 3480/ 21553 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.32 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.419602E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.379 | TFLOPs: 28.30 | 7: iteration 3490/ 21553 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.30 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.382113E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.066 | TFLOPs: 29.48 | 7: iteration 3500/ 21553 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.32 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.432601E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.429 | TFLOPs: 27.74 | 7: iteration 3510/ 21553 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.31 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.380632E+00 | grad norm: 0.424 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.086 | TFLOPs: 29.20 | 7: iteration 3520/ 21553 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.31 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.403729E+00 | grad norm: 0.433 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.196 | TFLOPs: 28.92 | 7: iteration 3530/ 21553 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.33 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 3.396992E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 781.433 | TFLOPs: 27.36 | 7: iteration 3540/ 21553 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.32 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.410170E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.730 | TFLOPs: 28.24 | 7: iteration 3550/ 21553 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.31 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.416576E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.210 | TFLOPs: 29.06 | 7: iteration 3560/ 21553 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.31 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 3.378879E+00 | grad norm: 0.416 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.982 | TFLOPs: 28.99 | 7: iteration 3570/ 21553 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.30 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 3.421217E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.648 | TFLOPs: 29.39 | 7: iteration 3580/ 21553 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.32 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 3.394491E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.492 | TFLOPs: 28.09 | 7: iteration 3590/ 21553 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.30 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.389695E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.458 | TFLOPs: 29.70 | 7: iteration 3600/ 21553 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.31 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.402650E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.054 | TFLOPs: 28.64 | 7: iteration 3610/ 21553 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.31 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 3.385482E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.534 | TFLOPs: 29.25 | 7: iteration 3620/ 21553 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.31 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 3.391723E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.407 | TFLOPs: 29.00 | 7: iteration 3630/ 21553 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.31 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 3.409732E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.904 | TFLOPs: 29.09 | 7: iteration 3640/ 21553 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.31 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 3.376658E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.220 | TFLOPs: 29.34 | 7: iteration 3650/ 21553 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.31 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.374152E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.133 | TFLOPs: 28.50 | 7: iteration 3660/ 21553 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.31 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.399891E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.951 | TFLOPs: 29.23 | 7: iteration 3670/ 21553 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.30 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 3.405409E+00 | grad norm: 0.430 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.365 | TFLOPs: 29.38 | 7: iteration 3680/ 21553 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.31 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 3.367010E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.466 | TFLOPs: 29.18 | 7: iteration 3690/ 21553 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.31 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 3.378099E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.273 | TFLOPs: 28.65 | 7: iteration 3700/ 21553 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.31 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 3.393118E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.451 | TFLOPs: 28.69 | 7: iteration 3710/ 21553 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.31 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 3.404628E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | 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0 | number of nan iterations: 0 | samples per second: 795.102 | TFLOPs: 27.83 | 7: iteration 3750/ 21553 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.31 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 3.368102E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.012 | TFLOPs: 28.85 | 7: iteration 3760/ 21553 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.31 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.369396E+00 | grad norm: 0.488 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.305 | TFLOPs: 29.07 | 7: iteration 3770/ 21553 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.32 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.391605E+00 | grad norm: 0.430 | num zeros: 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| elapsed time per iteration (s): 0.31 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 3.356144E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.186 | TFLOPs: 29.24 | 7: iteration 3900/ 21553 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.31 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 3.354762E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.697 | TFLOPs: 29.26 | 7: iteration 3910/ 21553 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.31 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 3.344117E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.871 | TFLOPs: 29.02 | 7: iteration 3920/ 21553 | consumed samples: 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second: 801.945 | TFLOPs: 28.07 | 7: iteration 3980/ 21553 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.31 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.356351E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.523 | TFLOPs: 28.97 | 7: iteration 3990/ 21553 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.32 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.357064E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.325 | TFLOPs: 28.40 | 0: [2022-11-29 17:28:10,594] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00018638652011758862, 0.00018638652011758862, 0.00018638652011758862], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 21553 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.30 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 3.351439E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.366 | TFLOPs: 29.63 | 0: steps: 4000 loss: 3.3539 iter time (s): 0.311 samples/sec: 823.687 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 3.214729E+00 | lm loss PPL: 2.489655E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_146moscareap 0: [2022-11-29 17:28:10,717] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-29 17:28:10,721] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step4000/layer_01-model_00-model_states.pt... 0: 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5: [2022-11-29 17:28:11,092] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:28:11,093] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:28:11,093] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:28:11,093] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:28:11,094] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:28:11,094] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:28:11,096] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:28:11,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:28:11,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:28:11,096] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:28:11,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-29 17:28:11,096] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:28:11,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:28:11,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:28:11,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:28:11,097] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:28:11,097] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-29 17:28:11,097] [INFO] 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checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 3: [2022-11-29 17:28:11,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:28:11,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 5: [2022-11-29 17:28:11,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:28:11,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 1: [2022-11-29 17:28:11,106] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:28:11,106] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 17:28:11,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-29 17:28:11,106] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:28:11,106] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 0: [2022-11-29 17:28:11,106] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:28:11,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:28:11,106] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-29 17:28:11,106] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-29 17:28:11,103] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:28:11,103] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 17:28:11,103] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-29 17:28:11,109] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:28:11,109] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 17:28:11,109] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-29 17:28:11,109] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:28:11,109] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 17:28:11,109] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:28:11,110] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:28:11,110] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 17:28:11,110] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:28:11,111] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:28:11,111] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-29 17:28:11,111] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:28:11,113] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:28:11,112] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:28:11,114] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:28:11,113] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:28:11,113] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 3: [2022-11-29 17:28:11,112] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 6: [2022-11-29 17:28:11,114] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 0: [2022-11-29 17:28:11,113] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:28:11,112] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:28:11,114] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:28:11,120] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:28:11,120] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 407.58 7: iteration 4010/ 21553 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.37 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 3.356156E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 698.172 | TFLOPs: 24.44 | 7: iteration 4020/ 21553 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.31 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 3.372314E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.105 | TFLOPs: 28.95 | 7: iteration 4030/ 21553 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.31 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 3.359583E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.478 | TFLOPs: 29.35 | 7: iteration 4040/ 21553 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.30 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 3.365321E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.708 | TFLOPs: 29.47 | 7: iteration 4050/ 21553 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.31 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.354115E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.048 | TFLOPs: 28.78 | 7: iteration 4060/ 21553 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.31 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.355288E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.718 | TFLOPs: 28.66 | 7: iteration 4070/ 21553 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.33 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 3.333377E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 771.784 | TFLOPs: 27.02 | 7: iteration 4080/ 21553 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.31 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 3.356729E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.456 | TFLOPs: 28.83 | 7: iteration 4090/ 21553 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.31 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 3.374183E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.538 | 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iterations: 0 | samples per second: 816.837 | TFLOPs: 28.60 | 7: iteration 4130/ 21553 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.31 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 3.356289E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.897 | TFLOPs: 28.74 | 7: iteration 4140/ 21553 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.31 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 3.332190E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.842 | TFLOPs: 28.91 | 7: iteration 4150/ 21553 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.31 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 3.346218E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.729 | TFLOPs: 29.36 | 7: iteration 4160/ 21553 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.31 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 3.344211E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.777 | TFLOPs: 29.05 | 7: iteration 4170/ 21553 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.31 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 3.326471E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.181 | TFLOPs: 29.06 | 7: iteration 4180/ 21553 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.30 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 3.316449E+00 | grad norm: 0.583 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.752 | TFLOPs: 29.50 | 7: iteration 4190/ 21553 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.31 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 3.334234E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.271 | TFLOPs: 28.93 | 7: iteration 4200/ 21553 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.31 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 3.335478E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.284 | TFLOPs: 28.72 | 7: iteration 4210/ 21553 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.31 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 3.352834E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.727 | TFLOPs: 29.01 | 7: iteration 4220/ 21553 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.33 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 3.353549E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 787.287 | TFLOPs: 27.56 | 7: iteration 4230/ 21553 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.30 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 3.330780E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.532 | TFLOPs: 29.46 | 7: iteration 4240/ 21553 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.31 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 3.371244E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.856 | TFLOPs: 28.46 | 7: iteration 4250/ 21553 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.32 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 3.297383E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.208 | TFLOPs: 28.43 | 7: iteration 4260/ 21553 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.30 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 3.374826E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.243 | TFLOPs: 29.45 | 7: iteration 4270/ 21553 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.31 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 3.342869E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.163 | TFLOPs: 28.85 | 7: iteration 4280/ 21553 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.32 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 3.344367E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.024 | TFLOPs: 28.15 | 7: iteration 4290/ 21553 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.32 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 3.341337E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.887 | TFLOPs: 27.90 | 7: iteration 4300/ 21553 | consumed samples: 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second: 841.825 | TFLOPs: 29.47 | 7: iteration 4360/ 21553 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.31 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 3.301622E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.352 | TFLOPs: 29.10 | 7: iteration 4370/ 21553 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.31 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 3.329930E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.415 | TFLOPs: 29.21 | 7: iteration 4380/ 21553 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.30 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 3.323895E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.577 | TFLOPs: 29.39 | 7: iteration 4390/ 21553 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.32 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 3.312745E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.805 | TFLOPs: 28.28 | 7: iteration 4400/ 21553 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.31 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 3.315438E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.134 | TFLOPs: 29.06 | 7: iteration 4410/ 21553 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.35 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 3.314599E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 736.924 | TFLOPs: 25.80 | 7: iteration 4420/ 21553 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.32 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 3.315548E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.148 | TFLOPs: 28.36 | 7: iteration 4430/ 21553 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.32 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 3.318191E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.674 | TFLOPs: 27.75 | 7: iteration 4440/ 21553 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.31 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 3.298453E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.631 | TFLOPs: 28.90 | 7: iteration 4450/ 21553 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.32 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 3.311999E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.623 | TFLOPs: 28.38 | 7: iteration 4460/ 21553 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.31 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 3.315392E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.544 | TFLOPs: 29.08 | 7: iteration 4470/ 21553 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.30 | learning rate: 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iteration (s): 0.31 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 3.308596E+00 | grad norm: 0.947 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.782 | TFLOPs: 28.98 | 7: iteration 4510/ 21553 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.31 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 3.365050E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.377 | TFLOPs: 29.21 | 7: iteration 4520/ 21553 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.31 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 3.355314E+00 | grad norm: 0.877 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.231 | TFLOPs: 28.92 | 7: iteration 4530/ 21553 | consumed samples: 1159680 | consumed 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learning rate: 1.808E-04 | global batch size: 256 | lm loss: 3.326620E+00 | grad norm: 0.400 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 771.213 | TFLOPs: 27.00 | 7: iteration 4740/ 21553 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.30 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 3.297338E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.055 | TFLOPs: 29.65 | 7: iteration 4750/ 21553 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.31 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 3.295958E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.872 | TFLOPs: 28.70 | 7: iteration 4760/ 21553 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.31 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.294987E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.270 | TFLOPs: 28.96 | 7: iteration 4770/ 21553 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.31 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 3.289118E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.062 | TFLOPs: 28.95 | 7: iteration 4780/ 21553 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 0.31 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 3.306347E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.236 | TFLOPs: 28.85 | 7: iteration 4790/ 21553 | consumed samples: 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.408 | TFLOPs: 28.72 | 7: iteration 4910/ 21553 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.31 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 3.279436E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.228 | TFLOPs: 28.89 | 7: iteration 4920/ 21553 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.32 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 3.303050E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.595 | TFLOPs: 27.89 | 7: iteration 4930/ 21553 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.31 | learning rate: 1.792E-04 | global batch size: 256 | lm loss: 3.264712E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.799 | TFLOPs: 28.63 | 7: iteration 4940/ 21553 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.31 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 3.308599E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.477 | TFLOPs: 29.18 | 7: iteration 4950/ 21553 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.31 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 3.278947E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.988 | TFLOPs: 29.06 | 7: iteration 4960/ 21553 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.32 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 3.304658E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.568 | TFLOPs: 28.13 | 7: iteration 4970/ 21553 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.32 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 3.302308E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.968 | TFLOPs: 28.42 | 7: iteration 4980/ 21553 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.31 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 3.274589E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.411 | TFLOPs: 29.07 | 7: iteration 4990/ 21553 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.32 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 3.291713E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.339 | TFLOPs: 28.40 | 7: iteration 5000/ 21553 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.31 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 3.274742E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.760 | TFLOPs: 28.77 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 3.224789E+00 | lm loss PPL: 2.514827E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_146moscareap 0: [2022-11-29 17:33:23,363] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-29 17:33:23,367] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:33:23,452] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:33:23,452] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:33:23,468] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step5000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:33:23,468] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step5000/layer_04-model_00-model_states.pt... 0: [2022-11-29 17:33:23,484] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 486.02 7: iteration 5010/ 21553 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.37 | learning rate: 1.785E-04 | global batch size: 256 | lm loss: 3.288962E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 696.602 | TFLOPs: 24.39 | 7: iteration 5020/ 21553 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.31 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 3.288670E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.135 | TFLOPs: 28.54 | 7: iteration 5030/ 21553 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.31 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 3.263904E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.628 | TFLOPs: 29.15 | 7: iteration 5040/ 21553 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.32 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 3.296788E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.185 | TFLOPs: 28.05 | 7: iteration 5050/ 21553 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.31 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 3.272903E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.319 | TFLOPs: 29.00 | 7: iteration 5060/ 21553 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.31 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 3.281297E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.891 | TFLOPs: 29.12 | 7: iteration 5070/ 21553 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.31 | learning rate: 1.780E-04 | global batch size: 256 | lm loss: 3.280602E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.061 | TFLOPs: 29.37 | 7: iteration 5080/ 21553 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.31 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 3.296594E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.081 | TFLOPs: 28.99 | 7: iteration 5090/ 21553 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.31 | learning rate: 1.778E-04 | global batch size: 256 | lm loss: 3.298006E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.177 | TFLOPs: 29.31 | 7: iteration 5100/ 21553 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.31 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 3.297634E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.569 | TFLOPs: 28.69 | 7: iteration 5110/ 21553 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.31 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 3.288765E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.841 | TFLOPs: 28.95 | 7: iteration 5120/ 21553 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.32 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 3.260808E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.930 | TFLOPs: 28.39 | 7: iteration 5130/ 21553 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.31 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 3.287831E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.837 | TFLOPs: 29.05 | 7: iteration 5140/ 21553 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.31 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 3.289235E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.956 | TFLOPs: 28.81 | 7: iteration 5150/ 21553 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.31 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 3.283505E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.906 | TFLOPs: 28.67 | 7: iteration 5160/ 21553 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.31 | learning rate: 1.772E-04 | global batch size: 256 | lm loss: 3.276638E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.988 | TFLOPs: 29.02 | 7: iteration 5170/ 21553 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.31 | learning rate: 1.771E-04 | global batch size: 256 | lm loss: 3.286792E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.356 | TFLOPs: 28.68 | 7: iteration 5180/ 21553 | 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TFLOPs: 28.46 | 7: iteration 5210/ 21553 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.33 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 3.264493E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.456 | TFLOPs: 27.53 | 7: iteration 5220/ 21553 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.31 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 3.264981E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.295 | TFLOPs: 29.07 | 7: iteration 5230/ 21553 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.31 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 3.231377E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.475 | TFLOPs: 29.11 | 7: iteration 5240/ 21553 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.31 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 3.246476E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.207 | TFLOPs: 29.20 | 7: iteration 5250/ 21553 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.31 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 3.266081E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.106 | TFLOPs: 29.16 | 7: iteration 5260/ 21553 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.31 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 3.252028E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.620 | TFLOPs: 29.01 | 7: iteration 5270/ 21553 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.31 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 3.254095E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.580 | TFLOPs: 28.73 | 7: iteration 5280/ 21553 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.30 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 3.251728E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.884 | TFLOPs: 29.44 | 7: iteration 5290/ 21553 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.32 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 3.273668E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.683 | TFLOPs: 28.17 | 7: iteration 5300/ 21553 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.31 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 3.253279E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.375 | TFLOPs: 28.82 | 7: iteration 5310/ 21553 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.31 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 3.231398E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.977 | TFLOPs: 28.92 | 7: iteration 5320/ 21553 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.31 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 3.286682E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.160 | TFLOPs: 28.96 | 7: iteration 5330/ 21553 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.31 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 3.248992E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.753 | TFLOPs: 28.87 | 7: iteration 5340/ 21553 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.31 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 3.252110E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.999 | TFLOPs: 28.64 | 7: iteration 5350/ 21553 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.31 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 3.263535E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.650 | TFLOPs: 28.94 | 7: iteration 5360/ 21553 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.30 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 3.234604E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.359 | TFLOPs: 29.38 | 7: iteration 5370/ 21553 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.33 | learning rate: 1.753E-04 | global batch size: 256 | lm loss: 3.246875E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.881 | TFLOPs: 27.48 | 7: iteration 5380/ 21553 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.31 | learning rate: 1.752E-04 | global batch size: 256 | lm loss: 3.276414E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.658 | TFLOPs: 29.36 | 7: iteration 5390/ 21553 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.31 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 3.250277E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.194 | TFLOPs: 28.92 | 7: iteration 5400/ 21553 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.30 | learning rate: 1.750E-04 | global batch size: 256 | lm loss: 3.212196E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.792 | TFLOPs: 29.71 | 7: iteration 5410/ 21553 | consumed samples: 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iteration 5440/ 21553 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.31 | learning rate: 1.747E-04 | global batch size: 256 | lm loss: 3.264530E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.911 | TFLOPs: 28.98 | 7: iteration 5450/ 21553 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.31 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 3.220209E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.705 | TFLOPs: 29.08 | 7: iteration 5460/ 21553 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.31 | learning rate: 1.745E-04 | global batch size: 256 | lm loss: 3.250216E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.262 | TFLOPs: 29.21 | 7: iteration 5470/ 21553 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.35 | learning rate: 1.744E-04 | global batch size: 256 | lm loss: 3.249505E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 734.715 | TFLOPs: 25.72 | 7: iteration 5480/ 21553 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.31 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 3.261930E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.521 | TFLOPs: 28.51 | 7: iteration 5490/ 21553 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.32 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 3.242454E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.938 | TFLOPs: 28.18 | 7: iteration 5500/ 21553 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.32 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 3.273951E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.695 | TFLOPs: 28.17 | 7: iteration 5510/ 21553 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.31 | learning rate: 1.740E-04 | global batch size: 256 | lm loss: 3.221731E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.015 | TFLOPs: 28.99 | 7: iteration 5520/ 21553 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.33 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 3.230446E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 785.219 | TFLOPs: 27.49 | 7: iteration 5530/ 21553 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.31 | learning rate: 1.738E-04 | global batch size: 256 | lm loss: 3.229006E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.258 | TFLOPs: 29.10 | 7: iteration 5540/ 21553 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.30 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 3.248904E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.771 | TFLOPs: 29.75 | 7: iteration 5550/ 21553 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.31 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 3.246728E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.118 | TFLOPs: 29.24 | 7: iteration 5560/ 21553 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.31 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 3.227701E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.488 | TFLOPs: 28.93 | 7: iteration 5570/ 21553 | consumed samples: 1425920 | consumed tokens: 2920284160 | elapsed time per iteration (s): 0.31 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 3.232221E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.324 | TFLOPs: 29.07 | 7: iteration 5580/ 21553 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.30 | learning rate: 1.734E-04 | global batch size: 256 | lm loss: 3.245388E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.861 | TFLOPs: 29.47 | 7: iteration 5590/ 21553 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.30 | learning rate: 1.733E-04 | global batch size: 256 | lm loss: 3.206933E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.513 | TFLOPs: 29.39 | 7: iteration 5600/ 21553 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.31 | learning rate: 1.732E-04 | global batch size: 256 | lm loss: 3.241080E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.344 | TFLOPs: 29.00 | 7: iteration 5610/ 21553 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.31 | learning rate: 1.731E-04 | global batch size: 256 | lm loss: 3.226643E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.058 | TFLOPs: 29.02 | 7: iteration 5620/ 21553 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.31 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 3.239425E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.961 | TFLOPs: 29.23 | 7: iteration 5630/ 21553 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.31 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 3.226463E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.729 | TFLOPs: 29.12 | 7: iteration 5640/ 21553 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.31 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 3.237056E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.539 | TFLOPs: 29.21 | 7: iteration 5650/ 21553 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.31 | learning rate: 1.727E-04 | global batch size: 256 | lm loss: 3.259244E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.582 | TFLOPs: 29.15 | 7: iteration 5660/ 21553 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.32 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 3.255648E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.648 | TFLOPs: 28.38 | 7: iteration 5670/ 21553 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.30 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 3.230665E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.207 | TFLOPs: 29.41 | 7: iteration 5680/ 21553 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.31 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 3.239487E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.538 | TFLOPs: 28.76 | 7: iteration 5690/ 21553 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.31 | learning rate: 1.723E-04 | global batch size: 256 | lm loss: 3.222583E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.242 | TFLOPs: 28.78 | 7: iteration 5700/ 21553 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.32 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 3.241264E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.528 | TFLOPs: 28.13 | 7: iteration 5710/ 21553 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.31 | learning rate: 1.721E-04 | global batch size: 256 | lm loss: 3.239518E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.593 | TFLOPs: 29.15 | 7: iteration 5720/ 21553 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.30 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 3.220007E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.718 | TFLOPs: 29.71 | 7: iteration 5730/ 21553 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.30 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 3.206579E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.971 | TFLOPs: 29.51 | 7: iteration 5740/ 21553 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.30 | learning rate: 1.718E-04 | global batch size: 256 | lm loss: 3.237750E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.550 | TFLOPs: 29.53 | 7: iteration 5750/ 21553 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.31 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 3.224679E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.826 | TFLOPs: 28.98 | 7: iteration 5760/ 21553 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.31 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 3.204031E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.651 | TFLOPs: 29.04 | 7: iteration 5770/ 21553 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.30 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 3.241042E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.979 | TFLOPs: 29.51 | 7: iteration 5780/ 21553 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.31 | learning rate: 1.714E-04 | global batch size: 256 | lm loss: 3.219922E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.282 | TFLOPs: 29.07 | 7: iteration 5790/ 21553 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.31 | learning rate: 1.714E-04 | global batch size: 256 | lm loss: 3.240030E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.044 | TFLOPs: 28.81 | 7: iteration 5800/ 21553 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.31 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 3.225947E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.750 | TFLOPs: 29.29 | 7: iteration 5810/ 21553 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.32 | learning rate: 1.712E-04 | global batch size: 256 | lm loss: 3.243945E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.989 | TFLOPs: 28.11 | 7: iteration 5820/ 21553 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.31 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 3.232056E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.792 | TFLOPs: 29.19 | 7: iteration 5830/ 21553 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.30 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 3.204475E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.900 | TFLOPs: 29.40 | 7: iteration 5840/ 21553 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.31 | 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loss: 3.1658 iter time (s): 0.309 samples/sec: 829.746 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 3.095521E+00 | lm loss PPL: 2.209874E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_146moscareap 0: [2022-11-29 17:38:34,329] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-29 17:38:34,333] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:38:34,416] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:38:34,417] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:38:34,720] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 17:38:34,720] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-29 17:38:34,720] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 2: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:38:34,720] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 2: [2022-11-29 17:38:34,720] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:38:34,720] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:38:34,720] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-29 17:38:34,721] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:38:34,721] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:38:34,721] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 17:38:34,721] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-29 17:38:34,721] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-29 17:38:34,721] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: [2022-11-29 17:38:34,726] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:38:34,726] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-29 17:38:34,727] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:38:34,727] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step6000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 17:38:34,727] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: successfully saved checkpoint at iteration 6000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 405.48 7: iteration 6010/ 21553 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.36 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 3.223615E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 720.779 | TFLOPs: 25.23 | 7: iteration 6020/ 21553 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.31 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 3.229572E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.101 | TFLOPs: 29.20 | 7: iteration 6030/ 21553 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.31 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 3.242147E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.813 | TFLOPs: 28.84 | 7: iteration 6040/ 21553 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.31 | learning rate: 1.689E-04 | global batch size: 256 | lm loss: 3.193808E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.520 | TFLOPs: 28.79 | 7: iteration 6050/ 21553 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.31 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 3.193464E+00 | grad norm: 0.429 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.789 | TFLOPs: 28.73 | 7: iteration 6060/ 21553 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.31 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 3.206738E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.030 | TFLOPs: 28.88 | 7: iteration 6070/ 21553 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.32 | learning rate: 1.686E-04 | global batch size: 256 | lm loss: 3.238066E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.507 | TFLOPs: 27.99 | 7: iteration 6080/ 21553 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.31 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 3.191551E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.937 | TFLOPs: 29.16 | 7: iteration 6090/ 21553 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.31 | learning rate: 1.684E-04 | global batch size: 256 | lm loss: 3.255566E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.905 | TFLOPs: 28.95 | 7: iteration 6100/ 21553 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.31 | learning rate: 1.683E-04 | global batch size: 256 | lm loss: 3.214491E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.523 | TFLOPs: 29.32 | 7: iteration 6110/ 21553 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.30 | learning rate: 1.682E-04 | global batch size: 256 | lm loss: 3.226561E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.681 | TFLOPs: 29.50 | 7: iteration 6120/ 21553 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.30 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 3.209882E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.444 | TFLOPs: 29.63 | 7: iteration 6130/ 21553 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.32 | learning rate: 1.680E-04 | global batch size: 256 | lm loss: 3.203744E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.726 | TFLOPs: 28.31 | 7: iteration 6140/ 21553 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.31 | learning rate: 1.679E-04 | global batch size: 256 | lm loss: 3.184591E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.223 | TFLOPs: 29.20 | 7: iteration 6150/ 21553 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.32 | learning rate: 1.678E-04 | global batch size: 256 | lm loss: 3.207337E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.307 | TFLOPs: 28.30 | 7: iteration 6160/ 21553 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.30 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 3.206741E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.536 | TFLOPs: 29.39 | 7: iteration 6170/ 21553 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.30 | learning rate: 1.676E-04 | global batch size: 256 | lm loss: 3.211990E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.939 | TFLOPs: 29.54 | 7: iteration 6180/ 21553 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.32 | learning rate: 1.675E-04 | global batch size: 256 | lm loss: 3.212678E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.001 | TFLOPs: 28.04 | 7: iteration 6190/ 21553 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.33 | learning rate: 1.674E-04 | global batch size: 256 | lm loss: 3.196765E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 782.384 | TFLOPs: 27.39 | 7: iteration 6200/ 21553 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.31 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 3.205116E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.837 | TFLOPs: 29.33 | 7: iteration 6210/ 21553 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.31 | learning rate: 1.672E-04 | global batch size: 256 | lm loss: 3.176930E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.185 | TFLOPs: 28.64 | 7: iteration 6220/ 21553 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.31 | learning rate: 1.671E-04 | global batch size: 256 | lm loss: 3.231595E+00 | grad norm: 0.935 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.449 | TFLOPs: 28.51 | 7: iteration 6230/ 21553 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.32 | learning rate: 1.670E-04 | global batch size: 256 | lm loss: 3.226583E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.661 | TFLOPs: 28.17 | 7: iteration 6240/ 21553 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 0.32 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 3.213863E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.252 | TFLOPs: 28.01 | 7: iteration 6250/ 21553 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.31 | learning rate: 1.668E-04 | global batch size: 256 | lm loss: 3.207579E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.105 | TFLOPs: 28.92 | 7: iteration 6260/ 21553 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.31 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 3.219876E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.269 | TFLOPs: 29.14 | 7: iteration 6270/ 21553 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.31 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 3.230619E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.547 | TFLOPs: 29.29 | 7: iteration 6280/ 21553 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.31 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 3.193984E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.379 | TFLOPs: 29.35 | 7: iteration 6290/ 21553 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.31 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 3.199455E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.554 | TFLOPs: 28.66 | 7: iteration 6300/ 21553 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.31 | learning rate: 1.662E-04 | global batch size: 256 | lm loss: 3.208609E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.485 | TFLOPs: 28.97 | 7: iteration 6310/ 21553 | consumed samples: 1615360 | consumed 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consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.32 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 3.196866E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.432 | TFLOPs: 28.06 | 7: iteration 6350/ 21553 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.31 | learning rate: 1.657E-04 | global batch size: 256 | lm loss: 3.220970E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.418 | TFLOPs: 29.28 | 7: iteration 6360/ 21553 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 0.30 | learning rate: 1.656E-04 | global batch size: 256 | lm loss: 3.179549E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.359 | TFLOPs: 29.38 | 7: iteration 6370/ 21553 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.31 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 3.198226E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.525 | TFLOPs: 28.86 | 7: iteration 6380/ 21553 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 0.31 | learning rate: 1.654E-04 | global batch size: 256 | lm loss: 3.194406E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.958 | TFLOPs: 29.33 | 7: iteration 6390/ 21553 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.31 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 3.199244E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.655 | TFLOPs: 28.76 | 7: iteration 6400/ 21553 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.30 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 3.221173E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.702 | TFLOPs: 29.61 | 7: iteration 6410/ 21553 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 0.31 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 3.197077E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.501 | TFLOPs: 29.07 | 7: iteration 6420/ 21553 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 0.31 | learning rate: 1.650E-04 | global batch size: 256 | lm loss: 3.204741E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.781 | TFLOPs: 29.22 | 7: iteration 6430/ 21553 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 0.33 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 3.203930E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 775.228 | TFLOPs: 27.14 | 7: iteration 6440/ 21553 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.31 | learning rate: 1.648E-04 | global batch size: 256 | lm loss: 3.199592E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.442 | TFLOPs: 29.32 | 7: iteration 6450/ 21553 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 0.31 | learning rate: 1.647E-04 | global batch size: 256 | lm loss: 3.207504E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.506 | TFLOPs: 29.04 | 7: iteration 6460/ 21553 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 0.31 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 3.197363E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.048 | TFLOPs: 28.60 | 7: iteration 6470/ 21553 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.31 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 3.221579E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.377 | TFLOPs: 28.47 | 7: iteration 6480/ 21553 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.31 | learning rate: 1.644E-04 | global batch size: 256 | lm loss: 3.193656E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.988 | TFLOPs: 28.74 | 7: iteration 6490/ 21553 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.31 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 3.197479E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.397 | TFLOPs: 28.61 | 7: iteration 6500/ 21553 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.32 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 3.193363E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.148 | TFLOPs: 28.26 | 7: iteration 6510/ 21553 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.30 | 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size: 256 | lm loss: 3.167228E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 736.083 | TFLOPs: 25.77 | 7: iteration 6980/ 21553 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.30 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 3.132767E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.005 | TFLOPs: 29.48 | 7: iteration 6990/ 21553 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.32 | learning rate: 1.588E-04 | global batch size: 256 | lm loss: 3.155882E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.375 | TFLOPs: 28.40 | 7: iteration 7000/ 21553 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.31 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 3.176341E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.057 | TFLOPs: 28.95 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 3.051772E+00 | lm loss PPL: 2.115279E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_146moscareap 0: [2022-11-29 17:43:45,436] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-29 17:43:45,440] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:43:45,525] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146moscareap/global_step7000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:43:45,827] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-29 17:43:45,836] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step7000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:43:45,836] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 404.20 7: iteration 7010/ 21553 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.36 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 3.188311E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 710.141 | TFLOPs: 24.86 | 7: iteration 7020/ 21553 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.31 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 3.168806E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.924 | TFLOPs: 28.77 | 7: iteration 7030/ 21553 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.30 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 3.171183E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.328 | TFLOPs: 29.52 | 7: iteration 7040/ 21553 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.31 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 3.174364E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.010 | TFLOPs: 28.46 | 7: iteration 7050/ 21553 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.30 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 3.182611E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.895 | TFLOPs: 29.61 | 7: iteration 7060/ 21553 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.31 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 3.187651E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.107 | TFLOPs: 28.64 | 7: iteration 7070/ 21553 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.31 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 3.149041E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.985 | TFLOPs: 28.60 | 7: iteration 7080/ 21553 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.31 | learning rate: 1.578E-04 | global batch size: 256 | lm loss: 3.167566E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.007 | TFLOPs: 29.02 | 7: iteration 7090/ 21553 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.31 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 3.166979E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.724 | TFLOPs: 28.77 | 7: iteration 7100/ 21553 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.31 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 3.166293E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.415 | TFLOPs: 28.48 | 7: iteration 7110/ 21553 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.31 | learning rate: 1.575E-04 | global batch size: 256 | lm loss: 3.182422E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.498 | TFLOPs: 28.86 | 7: iteration 7120/ 21553 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.32 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 3.186903E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.495 | TFLOPs: 28.20 | 7: iteration 7130/ 21553 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.31 | learning rate: 1.573E-04 | global batch size: 256 | lm loss: 3.187368E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.107 | TFLOPs: 28.57 | 7: iteration 7140/ 21553 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.31 | learning rate: 1.571E-04 | global batch size: 256 | lm loss: 3.170611E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.526 | TFLOPs: 29.21 | 7: iteration 7150/ 21553 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.33 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 3.177435E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.806 | TFLOPs: 27.54 | 7: iteration 7160/ 21553 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.31 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 3.161201E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.820 | TFLOPs: 29.19 | 7: iteration 7170/ 21553 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.31 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 3.151774E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.051 | TFLOPs: 29.27 | 7: iteration 7180/ 21553 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.30 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 3.158833E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.780 | TFLOPs: 29.43 | 7: iteration 7190/ 21553 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.31 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 3.190619E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.481 | TFLOPs: 29.25 | 7: iteration 7200/ 21553 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.30 | learning rate: 1.565E-04 | global batch size: 256 | lm loss: 3.124962E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.125 | TFLOPs: 29.73 | 7: iteration 7210/ 21553 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.31 | learning rate: 1.563E-04 | global batch size: 256 | lm loss: 3.189367E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.012 | TFLOPs: 29.23 | 7: iteration 7220/ 21553 | consumed samples: 1848320 | consumed 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TFLOPs: 28.38 | 7: iteration 7280/ 21553 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.31 | learning rate: 1.556E-04 | global batch size: 256 | lm loss: 3.140787E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.716 | TFLOPs: 29.05 | 7: iteration 7290/ 21553 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.31 | learning rate: 1.554E-04 | global batch size: 256 | lm loss: 3.157414E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.537 | TFLOPs: 28.51 | 7: iteration 7300/ 21553 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.34 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 3.175326E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 756.777 | TFLOPs: 26.49 | 7: iteration 7310/ 21553 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.31 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 3.162579E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.398 | TFLOPs: 28.68 | 7: iteration 7320/ 21553 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.30 | learning rate: 1.551E-04 | global batch size: 256 | lm loss: 3.165679E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.726 | TFLOPs: 29.54 | 7: iteration 7330/ 21553 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.31 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 3.146925E+00 | grad norm: 0.324 | num zeros: 0.0 | number of 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norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.641 | TFLOPs: 28.80 | 7: iteration 7370/ 21553 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.31 | learning rate: 1.545E-04 | global batch size: 256 | lm loss: 3.147676E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.100 | TFLOPs: 29.02 | 7: iteration 7380/ 21553 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.31 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 3.150652E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.231 | TFLOPs: 29.10 | 7: iteration 7390/ 21553 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.31 | learning rate: 1.543E-04 | global batch size: 256 | lm loss: 3.135802E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.968 | TFLOPs: 29.09 | 7: iteration 7400/ 21553 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 0.32 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 3.150561E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.870 | TFLOPs: 28.07 | 7: iteration 7410/ 21553 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.31 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 3.140905E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.389 | TFLOPs: 28.79 | 7: iteration 7420/ 21553 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.31 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 3.151252E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.976 | TFLOPs: 28.74 | 7: iteration 7430/ 21553 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.31 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 3.155315E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.999 | TFLOPs: 29.09 | 7: iteration 7440/ 21553 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.31 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 3.149332E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.361 | TFLOPs: 28.82 | 7: iteration 7450/ 21553 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.31 | learning rate: 1.536E-04 | global batch size: 256 | lm loss: 3.162667E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.688 | TFLOPs: 29.22 | 7: iteration 7460/ 21553 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.32 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 3.170882E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.042 | TFLOPs: 28.22 | 7: iteration 7470/ 21553 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.31 | learning rate: 1.534E-04 | global batch size: 256 | lm loss: 3.151485E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.908 | TFLOPs: 28.60 | 7: iteration 7480/ 21553 | consumed samples: 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iteration 7510/ 21553 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 0.31 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 3.145299E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.766 | TFLOPs: 28.98 | 7: iteration 7520/ 21553 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 0.31 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 3.158397E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.780 | TFLOPs: 29.08 | 7: iteration 7530/ 21553 | consumed samples: 1927680 | consumed tokens: 3947888640 | elapsed time per iteration (s): 0.31 | learning rate: 1.527E-04 | global batch size: 256 | lm loss: 3.150525E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.966 | TFLOPs: 28.56 | 7: iteration 7540/ 21553 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.31 | learning rate: 1.525E-04 | global batch size: 256 | lm loss: 3.163517E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.807 | TFLOPs: 28.70 | 7: iteration 7550/ 21553 | consumed samples: 1932800 | consumed tokens: 3958374400 | elapsed time per iteration (s): 0.32 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 3.150807E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.986 | TFLOPs: 28.25 | 7: iteration 7560/ 21553 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.32 | learning rate: 1.523E-04 | global batch size: 256 | lm loss: 3.140240E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.824 | TFLOPs: 28.35 | 7: iteration 7570/ 21553 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.31 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 3.157894E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.952 | TFLOPs: 28.70 | 7: iteration 7580/ 21553 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.33 | learning rate: 1.521E-04 | global batch size: 256 | lm loss: 3.149475E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 780.651 | TFLOPs: 27.33 | 7: iteration 7590/ 21553 | consumed samples: 1943040 | consumed tokens: 3979345920 | elapsed time per iteration (s): 0.31 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 3.134678E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.692 | TFLOPs: 29.36 | 7: iteration 7600/ 21553 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 0.31 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 3.124085E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.671 | TFLOPs: 28.69 | 7: iteration 7610/ 21553 | consumed samples: 1948160 | consumed tokens: 3989831680 | elapsed time per iteration (s): 0.31 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 3.159790E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.152 | TFLOPs: 29.34 | 7: iteration 7620/ 21553 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 0.31 | learning rate: 1.516E-04 | global batch size: 256 | lm loss: 3.142489E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.822 | TFLOPs: 28.87 | 7: iteration 7630/ 21553 | consumed samples: 1953280 | consumed tokens: 4000317440 | elapsed time per iteration (s): 0.30 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 3.152339E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.517 | TFLOPs: 29.39 | 7: iteration 7640/ 21553 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 0.30 | learning rate: 1.514E-04 | global batch size: 256 | lm loss: 3.150948E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.167 | TFLOPs: 29.41 | 7: iteration 7650/ 21553 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.30 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 3.161541E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.510 | TFLOPs: 29.70 | 7: iteration 7660/ 21553 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.31 | learning rate: 1.511E-04 | global batch size: 256 | lm loss: 3.173002E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.933 | TFLOPs: 29.05 | 7: iteration 7670/ 21553 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.31 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 3.166290E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.597 | TFLOPs: 28.83 | 7: iteration 7680/ 21553 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.31 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 3.131977E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.968 | TFLOPs: 28.67 | 7: iteration 7690/ 21553 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.31 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 3.114573E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.667 | TFLOPs: 29.29 | 7: iteration 7700/ 21553 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.31 | learning rate: 1.507E-04 | global batch size: 256 | lm loss: 3.140980E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.172 | TFLOPs: 28.89 | 7: iteration 7710/ 21553 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 0.31 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 3.137375E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.929 | TFLOPs: 29.26 | 7: iteration 7720/ 21553 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 0.31 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 3.134260E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.731 | TFLOPs: 29.36 | 7: iteration 7730/ 21553 | consumed samples: 1978880 | consumed tokens: 4052746240 | elapsed time per iteration (s): 0.31 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 3.146969E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.579 | TFLOPs: 29.36 | 7: iteration 7740/ 21553 | consumed samples: 1981440 | consumed tokens: 4057989120 | elapsed time per iteration (s): 0.31 | learning rate: 1.502E-04 | global batch size: 256 | lm loss: 3.149729E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.068 | TFLOPs: 29.27 | 7: iteration 7750/ 21553 | consumed samples: 1984000 | consumed tokens: 4063232000 | elapsed time per iteration (s): 0.31 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 3.138326E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.030 | TFLOPs: 28.50 | 7: iteration 7760/ 21553 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 0.30 | learning rate: 1.500E-04 | global batch size: 256 | lm loss: 3.134874E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.079 | TFLOPs: 29.55 | 7: iteration 7770/ 21553 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 0.30 | learning rate: 1.498E-04 | global batch size: 256 | lm loss: 3.108706E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.188 | TFLOPs: 29.52 | 7: iteration 7780/ 21553 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 0.30 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 3.127377E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.384 | TFLOPs: 29.42 | 7: iteration 7790/ 21553 | consumed samples: 1994240 | consumed tokens: 4084203520 | elapsed time per iteration (s): 0.32 | learning rate: 1.496E-04 | global batch size: 256 | lm loss: 3.129895E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.612 | TFLOPs: 28.24 | 7: iteration 7800/ 21553 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 0.32 | learning rate: 1.495E-04 | global batch size: 256 | lm loss: 3.148550E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.234 | TFLOPs: 28.05 | 7: iteration 7810/ 21553 | consumed samples: 1999360 | consumed tokens: 4094689280 | elapsed time per iteration (s): 0.31 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 3.104363E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.390 | TFLOPs: 28.58 | 7: iteration 7820/ 21553 | consumed samples: 2001920 | consumed tokens: 4099932160 | elapsed time per iteration (s): 0.31 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 3.152183E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.277 | TFLOPs: 29.00 | 7: iteration 7830/ 21553 | consumed samples: 2004480 | consumed tokens: 4105175040 | elapsed time per iteration (s): 0.31 | learning rate: 1.491E-04 | global batch size: 256 | lm loss: 3.134128E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.868 | TFLOPs: 28.91 | 7: iteration 7840/ 21553 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 0.31 | learning rate: 1.490E-04 | global batch size: 256 | lm loss: 3.139632E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.235 | TFLOPs: 29.27 | 7: iteration 7850/ 21553 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.30 | learning rate: 1.489E-04 | global batch size: 256 | lm loss: 3.159732E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.175 | TFLOPs: 29.41 | 7: iteration 7860/ 21553 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 0.31 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 3.140382E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.859 | TFLOPs: 28.88 | 7: iteration 7870/ 21553 | consumed samples: 2014720 | consumed tokens: 4126146560 | elapsed time per iteration (s): 0.31 | learning rate: 1.486E-04 | global batch size: 256 | lm loss: 3.104691E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.493 | TFLOPs: 29.18 | 7: iteration 7880/ 21553 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 0.31 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 3.139060E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.880 | TFLOPs: 29.09 | 7: iteration 7890/ 21553 | consumed samples: 2019840 | consumed tokens: 4136632320 | elapsed time per iteration (s): 0.31 | learning rate: 1.484E-04 | global batch size: 256 | lm loss: 3.149094E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.928 | TFLOPs: 28.67 | 7: iteration 7900/ 21553 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 0.36 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 3.106247E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 706.278 | TFLOPs: 24.72 | 7: iteration 7910/ 21553 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 0.34 | learning rate: 1.482E-04 | global batch size: 256 | lm loss: 3.165691E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 753.420 | TFLOPs: 26.38 | 7: iteration 7920/ 21553 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.30 | learning rate: 1.480E-04 | global batch size: 256 | lm loss: 3.103595E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.017 | TFLOPs: 29.62 | 7: iteration 7930/ 21553 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.31 | learning rate: 1.479E-04 | global batch size: 256 | lm loss: 3.124010E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.496 | TFLOPs: 29.07 | 7: iteration 7940/ 21553 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.31 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 3.130261E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.655 | TFLOPs: 29.18 | 7: iteration 7950/ 21553 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.31 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 3.138552E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.035 | TFLOPs: 28.88 | 7: iteration 7960/ 21553 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.31 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 3.137848E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.909 | TFLOPs: 29.02 | 7: iteration 7970/ 21553 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.31 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 3.147103E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.811 | TFLOPs: 29.26 | 7: iteration 7980/ 21553 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.31 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 3.128250E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.117 | TFLOPs: 29.06 | 7: iteration 7990/ 21553 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.31 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 3.139806E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.701 | TFLOPs: 29.12 | 0: [2022-11-29 17:48:56,571] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.00014708123251590496, 0.00014708123251590496, 0.00014708123251590496], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: steps: 8000 loss: 3.1268 iter time (s): 0.308 samples/sec: 830.540 7: iteration 8000/ 21553 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.31 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 3.110561E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.430 | TFLOPs: 29.00 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 3.152908E+00 | lm loss PPL: 2.340403E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_146moscareap 0: [2022-11-29 17:48:56,695] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-29 17:48:56,700] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step8000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:48:56,784] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:48:56,784] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step8000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:48:56,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:48:56,801] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step8000/layer_04-model_00-model_states.pt... 0: [2022-11-29 17:48:56,815] [INFO] 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[2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:48:57,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-29 17:48:57,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 5: [2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 5: [2022-11-29 17:48:57,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 7: [2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:48:57,096] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 17:48:57,096] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: [2022-11-29 17:48:57,099] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:48:57,102] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:48:57,102] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 17:48:57,102] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: [2022-11-29 17:48:57,105] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step8000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:48:57,105] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: successfully saved checkpoint at iteration 8000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 413.79 7: iteration 8010/ 21553 | consumed samples: 2050560 | consumed tokens: 4199546880 | elapsed time per iteration (s): 0.36 | learning rate: 1.470E-04 | global batch size: 256 | lm loss: 3.124490E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 716.230 | TFLOPs: 25.07 | 7: iteration 8020/ 21553 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.31 | learning rate: 1.468E-04 | global batch size: 256 | lm loss: 3.122890E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.208 | TFLOPs: 28.57 | 7: iteration 8030/ 21553 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.32 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 3.117209E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.879 | TFLOPs: 28.42 | 7: iteration 8040/ 21553 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 0.31 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 3.132550E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.565 | TFLOPs: 29.25 | 7: iteration 8050/ 21553 | consumed samples: 2060800 | consumed tokens: 4220518400 | elapsed time per iteration (s): 0.31 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 3.134911E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.402 | TFLOPs: 28.79 | 7: iteration 8060/ 21553 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 0.31 | learning rate: 1.464E-04 | global batch size: 256 | lm loss: 3.130740E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.385 | TFLOPs: 28.61 | 7: iteration 8070/ 21553 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.31 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 3.165963E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.812 | TFLOPs: 29.12 | 7: iteration 8080/ 21553 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.32 | learning rate: 1.461E-04 | global batch size: 256 | lm loss: 3.114986E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 788.887 | TFLOPs: 27.62 | 7: iteration 8090/ 21553 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.31 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 3.106641E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.022 | TFLOPs: 29.06 | 7: iteration 8100/ 21553 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 0.31 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 3.128501E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.551 | TFLOPs: 28.80 | 7: iteration 8110/ 21553 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 0.31 | learning rate: 1.457E-04 | global batch size: 256 | lm loss: 3.126662E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.792 | TFLOPs: 29.26 | 7: iteration 8120/ 21553 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 0.30 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 3.142784E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.852 | TFLOPs: 29.51 | 7: iteration 8130/ 21553 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.31 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 3.109856E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.503 | TFLOPs: 29.00 | 7: iteration 8140/ 21553 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.31 | learning rate: 1.454E-04 | global batch size: 256 | lm loss: 3.097780E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.855 | TFLOPs: 29.16 | 7: iteration 8150/ 21553 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.30 | learning rate: 1.453E-04 | global batch size: 256 | lm loss: 3.152598E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.461 | TFLOPs: 29.42 | 7: iteration 8160/ 21553 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.31 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 3.127050E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.317 | TFLOPs: 29.00 | 7: iteration 8170/ 21553 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.31 | learning rate: 1.450E-04 | global batch size: 256 | lm loss: 3.107510E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.019 | TFLOPs: 29.13 | 7: iteration 8180/ 21553 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.31 | learning rate: 1.449E-04 | global batch size: 256 | lm loss: 3.120150E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.283 | TFLOPs: 29.10 | 7: iteration 8190/ 21553 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.32 | learning rate: 1.448E-04 | global batch size: 256 | lm loss: 3.135330E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.431 | TFLOPs: 28.13 | 7: iteration 8200/ 21553 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.31 | learning rate: 1.447E-04 | global batch size: 256 | lm loss: 3.128779E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.536 | TFLOPs: 28.69 | 7: iteration 8210/ 21553 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.32 | learning rate: 1.445E-04 | global batch size: 256 | lm loss: 3.161195E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.512 | TFLOPs: 27.95 | 7: iteration 8220/ 21553 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.31 | learning rate: 1.444E-04 | global batch size: 256 | lm loss: 3.128671E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.552 | TFLOPs: 29.25 | 7: iteration 8230/ 21553 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.33 | learning rate: 1.443E-04 | global batch size: 256 | lm loss: 3.140360E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 772.846 | TFLOPs: 27.06 | 7: iteration 8240/ 21553 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.31 | learning rate: 1.442E-04 | global batch size: 256 | lm loss: 3.152635E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.188 | TFLOPs: 28.92 | 7: iteration 8250/ 21553 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 0.31 | learning rate: 1.440E-04 | global batch size: 256 | lm loss: 3.120145E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.837 | TFLOPs: 29.02 | 7: iteration 8260/ 21553 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 0.30 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 3.127242E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.047 | TFLOPs: 29.41 | 7: iteration 8270/ 21553 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 0.32 | learning rate: 1.438E-04 | global batch size: 256 | lm loss: 3.130664E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.889 | TFLOPs: 28.21 | 7: iteration 8280/ 21553 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.31 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 3.155653E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.334 | TFLOPs: 29.14 | 7: iteration 8290/ 21553 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.31 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 3.146124E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.884 | TFLOPs: 29.37 | 7: iteration 8300/ 21553 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.30 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 3.098742E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.122 | TFLOPs: 29.66 | 7: iteration 8310/ 21553 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.30 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 3.114207E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.518 | TFLOPs: 29.42 | 7: iteration 8320/ 21553 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.31 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 3.122025E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.454 | TFLOPs: 29.25 | 7: iteration 8330/ 21553 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 0.31 | learning rate: 1.431E-04 | global batch size: 256 | lm loss: 3.114532E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.027 | TFLOPs: 28.88 | 7: iteration 8340/ 21553 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 0.31 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 3.122092E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.693 | TFLOPs: 29.22 | 7: iteration 8350/ 21553 | consumed samples: 2137600 | consumed tokens: 4377804800 | elapsed time per iteration (s): 0.31 | learning rate: 1.428E-04 | global batch size: 256 | lm loss: 3.119344E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.185 | TFLOPs: 28.96 | 7: iteration 8360/ 21553 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 0.31 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 3.138058E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.741 | TFLOPs: 29.36 | 7: iteration 8370/ 21553 | consumed samples: 2142720 | consumed tokens: 4388290560 | elapsed time per iteration (s): 0.31 | learning rate: 1.426E-04 | global batch size: 256 | lm loss: 3.122697E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.523 | TFLOPs: 28.86 | 7: iteration 8380/ 21553 | consumed samples: 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iteration 8410/ 21553 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.31 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 3.113644E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.359 | TFLOPs: 29.28 | 7: iteration 8420/ 21553 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.30 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 3.120920E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.730 | TFLOPs: 29.43 | 7: iteration 8430/ 21553 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.31 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 3.107912E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.169 | TFLOPs: 29.06 | 7: iteration 8440/ 21553 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.30 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 3.111394E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.123 | TFLOPs: 29.55 | 7: iteration 8450/ 21553 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.31 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 3.110453E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.761 | TFLOPs: 29.08 | 7: iteration 8460/ 21553 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.31 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 3.127677E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.452 | TFLOPs: 28.58 | 7: iteration 8470/ 21553 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.31 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 3.125029E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.886 | TFLOPs: 29.23 | 7: iteration 8480/ 21553 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.30 | learning rate: 1.412E-04 | global batch size: 256 | lm loss: 3.111923E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.506 | TFLOPs: 29.53 | 7: iteration 8490/ 21553 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.31 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 3.132404E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.845 | TFLOPs: 29.23 | 7: iteration 8500/ 21553 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.30 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 3.157289E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.212 | TFLOPs: 29.62 | 7: iteration 8510/ 21553 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.30 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 3.124324E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.025 | TFLOPs: 29.44 | 7: iteration 8520/ 21553 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.31 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 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second: 806.947 | TFLOPs: 28.25 | 7: iteration 8930/ 21553 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 0.30 | learning rate: 1.355E-04 | global batch size: 256 | lm loss: 3.115045E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.796 | TFLOPs: 29.54 | 7: iteration 8940/ 21553 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.31 | learning rate: 1.354E-04 | global batch size: 256 | lm loss: 3.114893E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.089 | TFLOPs: 28.67 | 7: iteration 8950/ 21553 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.31 | learning rate: 1.353E-04 | global batch size: 256 | lm loss: 3.099687E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.944 | TFLOPs: 29.16 | 7: iteration 8960/ 21553 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.30 | learning rate: 1.352E-04 | global batch size: 256 | lm loss: 3.110146E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.480 | TFLOPs: 29.46 | 7: iteration 8970/ 21553 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.31 | learning rate: 1.350E-04 | global batch size: 256 | lm loss: 3.116294E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.464 | TFLOPs: 29.25 | 7: iteration 8980/ 21553 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.31 | learning rate: 1.349E-04 | global batch size: 256 | lm loss: 3.080305E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.714 | TFLOPs: 28.94 | 7: iteration 8990/ 21553 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.30 | learning rate: 1.348E-04 | global batch size: 256 | lm loss: 3.111667E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.368 | TFLOPs: 29.59 | 7: iteration 9000/ 21553 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.31 | learning rate: 1.346E-04 | global batch size: 256 | lm loss: 3.125481E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.330 | TFLOPs: 29.28 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.931618E+00 | lm loss PPL: 1.875796E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_146moscareap 0: [2022-11-29 17:54:06,986] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-29 17:54:06,990] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step9000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:54:07,076] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:54:07,076] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step9000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:54:07,099] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:54:07,100] [INFO] 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checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt... 1: [2022-11-29 17:54:07,388] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:54:07,388] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-29 17:54:07,388] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-29 17:54:07,388] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:54:07,388] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:54:07,388] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 4: [2022-11-29 17:54:07,388] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 2: [2022-11-29 17:54:07,388] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 4: [2022-11-29 17:54:07,388] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 5: [2022-11-29 17:54:07,389] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:54:07,389] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-29 17:54:07,389] [INFO] 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2: [2022-11-29 17:54:07,392] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 3: [2022-11-29 17:54:07,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-29 17:54:07,392] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 2: [2022-11-29 17:54:07,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 7: [2022-11-29 17:54:07,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: [2022-11-29 17:54:07,393] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:54:07,393] [INFO] 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checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:54:07,405] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 17:54:07,405] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 3: [2022-11-29 17:54:07,406] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:54:07,406] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:54:07,406] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 2: [2022-11-29 17:54:07,406] [INFO] 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checkpoints_146moscareap/global_step9000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-29 17:54:07,416] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: successfully saved checkpoint at iteration 9000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 436.95 7: iteration 9010/ 21553 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.38 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 3.101161E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 673.388 | TFLOPs: 23.57 | 7: iteration 9020/ 21553 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.31 | learning rate: 1.344E-04 | global batch size: 256 | lm loss: 3.093274E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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nan iterations: 0 | samples per second: 810.977 | TFLOPs: 28.39 | 7: iteration 9060/ 21553 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.31 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 3.073623E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.244 | TFLOPs: 29.38 | 7: iteration 9070/ 21553 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.31 | learning rate: 1.338E-04 | global batch size: 256 | lm loss: 3.105143E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.868 | TFLOPs: 29.12 | 7: iteration 9080/ 21553 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.31 | learning rate: 1.336E-04 | global batch size: 256 | lm loss: 3.119708E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.595 | TFLOPs: 29.18 | 7: iteration 9090/ 21553 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.32 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 3.123199E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.245 | TFLOPs: 28.22 | 7: iteration 9100/ 21553 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.30 | learning rate: 1.334E-04 | global batch size: 256 | lm loss: 3.082690E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.017 | TFLOPs: 29.41 | 7: iteration 9110/ 21553 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.31 | learning rate: 1.332E-04 | global batch size: 256 | lm loss: 3.091783E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.131 | TFLOPs: 29.13 | 7: iteration 9120/ 21553 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.31 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 3.085144E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.108 | TFLOPs: 28.78 | 7: iteration 9130/ 21553 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.31 | learning rate: 1.330E-04 | global batch size: 256 | lm loss: 3.096061E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.445 | TFLOPs: 28.83 | 7: iteration 9140/ 21553 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.30 | learning rate: 1.329E-04 | global batch size: 256 | lm loss: 3.095678E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.947 | TFLOPs: 29.61 | 7: iteration 9150/ 21553 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.31 | learning rate: 1.327E-04 | global batch size: 256 | lm loss: 3.065598E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.922 | TFLOPs: 28.56 | 7: iteration 9160/ 21553 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.31 | learning rate: 1.326E-04 | global batch size: 256 | lm loss: 3.099918E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.319 | TFLOPs: 29.28 | 7: iteration 9170/ 21553 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.30 | 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elapsed time per iteration (s): 0.31 | learning rate: 1.321E-04 | global batch size: 256 | lm loss: 3.120106E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.039 | TFLOPs: 28.99 | 7: iteration 9210/ 21553 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.31 | learning rate: 1.320E-04 | global batch size: 256 | lm loss: 3.115011E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.310 | TFLOPs: 29.35 | 7: iteration 9220/ 21553 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.31 | learning rate: 1.318E-04 | global batch size: 256 | lm loss: 3.111633E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.685 | TFLOPs: 28.76 | 7: iteration 9230/ 21553 | consumed samples: 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iteration 9260/ 21553 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.31 | learning rate: 1.313E-04 | global batch size: 256 | lm loss: 3.075017E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.327 | TFLOPs: 28.82 | 7: iteration 9270/ 21553 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.30 | learning rate: 1.312E-04 | global batch size: 256 | lm loss: 3.064619E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.795 | TFLOPs: 29.57 | 7: iteration 9280/ 21553 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.30 | learning rate: 1.311E-04 | global batch size: 256 | lm loss: 3.108914E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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3.085724E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.840 | TFLOPs: 29.68 | 7: iteration 9380/ 21553 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.31 | learning rate: 1.298E-04 | global batch size: 256 | lm loss: 3.094276E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.627 | TFLOPs: 29.22 | 7: iteration 9390/ 21553 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.31 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 3.083147E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.637 | TFLOPs: 28.52 | 7: iteration 9400/ 21553 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.31 | learning rate: 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TFLOPs: 29.45 | 7: iteration 9520/ 21553 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time per iteration (s): 0.32 | learning rate: 1.280E-04 | global batch size: 256 | lm loss: 3.111414E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.873 | TFLOPs: 27.97 | 7: iteration 9530/ 21553 | consumed samples: 2439680 | consumed tokens: 4996464640 | elapsed time per iteration (s): 0.31 | learning rate: 1.278E-04 | global batch size: 256 | lm loss: 3.081097E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.073 | TFLOPs: 29.16 | 7: iteration 9540/ 21553 | consumed samples: 2442240 | consumed tokens: 5001707520 | elapsed time per iteration (s): 0.33 | learning rate: 1.277E-04 | global batch size: 256 | lm loss: 3.101298E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 773.708 | TFLOPs: 27.09 | 7: iteration 9550/ 21553 | consumed samples: 2444800 | consumed tokens: 5006950400 | elapsed time per iteration (s): 0.31 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 3.092092E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.976 | TFLOPs: 28.95 | 7: iteration 9560/ 21553 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 0.30 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 3.078473E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.460 | TFLOPs: 29.39 | 7: iteration 9570/ 21553 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 0.33 | learning rate: 1.273E-04 | global batch size: 256 | lm loss: 3.063820E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 770.840 | TFLOPs: 26.98 | 7: iteration 9580/ 21553 | consumed samples: 2452480 | consumed tokens: 5022679040 | elapsed time per iteration (s): 0.31 | learning rate: 1.272E-04 | global batch size: 256 | lm loss: 3.088722E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.630 | TFLOPs: 28.97 | 7: iteration 9590/ 21553 | consumed samples: 2455040 | consumed tokens: 5027921920 | elapsed time per iteration (s): 0.30 | learning rate: 1.270E-04 | global batch size: 256 | lm loss: 3.098782E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.371 | TFLOPs: 29.38 | 7: iteration 9600/ 21553 | consumed samples: 2457600 | consumed tokens: 5033164800 | elapsed time per iteration (s): 0.30 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 3.081003E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.372 | TFLOPs: 29.45 | 7: iteration 9610/ 21553 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 0.30 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 3.048084E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.273 | TFLOPs: 29.42 | 7: iteration 9620/ 21553 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 0.31 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 3.096074E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.903 | TFLOPs: 29.26 | 7: iteration 9630/ 21553 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 0.31 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 3.085293E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.650 | TFLOPs: 29.22 | 7: iteration 9640/ 21553 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.31 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 3.084707E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.438 | TFLOPs: 29.21 | 7: iteration 9650/ 21553 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.30 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 3.083501E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.089 | TFLOPs: 29.44 | 7: iteration 9660/ 21553 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 0.31 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 3.075879E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.725 | TFLOPs: 29.36 | 7: iteration 9670/ 21553 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 0.30 | learning rate: 1.260E-04 | global batch size: 256 | lm loss: 3.081546E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.126 | TFLOPs: 29.52 | 7: iteration 9680/ 21553 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 0.31 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 3.044185E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.914 | TFLOPs: 28.56 | 7: iteration 9690/ 21553 | consumed samples: 2480640 | consumed tokens: 5080350720 | elapsed time per iteration (s): 0.31 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 3.092056E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.017 | TFLOPs: 29.20 | 7: iteration 9700/ 21553 | consumed samples: 2483200 | consumed tokens: 5085593600 | elapsed time per iteration (s): 0.31 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 3.066213E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.100 | TFLOPs: 28.92 | 7: iteration 9710/ 21553 | consumed samples: 2485760 | consumed tokens: 5090836480 | elapsed time per iteration (s): 0.31 | learning rate: 1.255E-04 | global batch size: 256 | lm loss: 3.100401E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.828 | TFLOPs: 29.05 | 7: iteration 9720/ 21553 | consumed samples: 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iteration 9750/ 21553 | consumed samples: 2496000 | consumed tokens: 5111808000 | elapsed time per iteration (s): 0.31 | learning rate: 1.250E-04 | global batch size: 256 | lm loss: 3.099731E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.908 | TFLOPs: 29.05 | 7: iteration 9760/ 21553 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 0.31 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 3.105150E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.998 | TFLOPs: 28.92 | 7: iteration 9770/ 21553 | consumed samples: 2501120 | consumed tokens: 5122293760 | elapsed time per iteration (s): 0.31 | learning rate: 1.247E-04 | global batch size: 256 | lm loss: 3.074568E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.555 | TFLOPs: 28.94 | 7: iteration 9780/ 21553 | consumed samples: 2503680 | consumed tokens: 5127536640 | elapsed time per iteration (s): 0.31 | learning rate: 1.246E-04 | global batch size: 256 | lm loss: 3.065738E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.599 | TFLOPs: 28.90 | 7: iteration 9790/ 21553 | consumed samples: 2506240 | consumed tokens: 5132779520 | elapsed time per iteration (s): 0.30 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 3.084377E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.223 | TFLOPs: 29.41 | 7: iteration 9800/ 21553 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 0.31 | learning rate: 1.243E-04 | global batch size: 256 | lm loss: 3.095651E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.711 | TFLOPs: 28.84 | 7: iteration 9810/ 21553 | consumed samples: 2511360 | consumed tokens: 5143265280 | elapsed time per iteration (s): 0.31 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 3.063469E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.125 | TFLOPs: 29.38 | 7: iteration 9820/ 21553 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 0.32 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 3.062999E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.795 | TFLOPs: 28.42 | 7: iteration 9830/ 21553 | consumed samples: 2516480 | consumed tokens: 5153751040 | elapsed time per iteration (s): 0.31 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 3.068647E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.024 | TFLOPs: 29.34 | 7: iteration 9840/ 21553 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 0.31 | learning rate: 1.238E-04 | global batch size: 256 | lm loss: 3.097772E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.618 | TFLOPs: 29.04 | 7: iteration 9850/ 21553 | consumed samples: 2521600 | consumed tokens: 5164236800 | elapsed time per iteration (s): 0.31 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 3.066786E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.622 | TFLOPs: 29.29 | 7: iteration 9860/ 21553 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 0.30 | learning rate: 1.235E-04 | global batch size: 256 | lm loss: 3.044129E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.529 | TFLOPs: 29.53 | 7: iteration 9870/ 21553 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 0.30 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 3.068626E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.207 | TFLOPs: 29.62 | 7: iteration 9880/ 21553 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 0.33 | learning rate: 1.233E-04 | global batch size: 256 | lm loss: 3.087832E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.962 | TFLOPs: 27.48 | 7: iteration 9890/ 21553 | consumed samples: 2531840 | consumed tokens: 5185208320 | elapsed time per iteration (s): 0.33 | learning rate: 1.231E-04 | global batch size: 256 | lm loss: 3.089837E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 783.282 | TFLOPs: 27.42 | 7: iteration 9900/ 21553 | consumed samples: 2534400 | consumed tokens: 5190451200 | elapsed time per iteration (s): 0.31 | learning rate: 1.230E-04 | global batch size: 256 | lm loss: 3.095751E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.820 | TFLOPs: 29.15 | 7: iteration 9910/ 21553 | consumed samples: 2536960 | consumed tokens: 5195694080 | elapsed time per iteration (s): 0.31 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 3.101421E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.417 | TFLOPs: 29.18 | 7: iteration 9920/ 21553 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 0.30 | learning rate: 1.227E-04 | global batch size: 256 | lm loss: 3.070117E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.090 | TFLOPs: 29.41 | 7: iteration 9930/ 21553 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 0.31 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 3.078450E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.851 | TFLOPs: 28.70 | 7: iteration 9940/ 21553 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 0.31 | learning rate: 1.225E-04 | global batch size: 256 | lm loss: 3.085127E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.825 | TFLOPs: 28.45 | 7: iteration 9950/ 21553 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.31 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 3.091592E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.710 | TFLOPs: 29.29 | 7: iteration 9960/ 21553 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.31 | learning rate: 1.222E-04 | global batch size: 256 | lm loss: 3.082697E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.577 | TFLOPs: 29.29 | 7: iteration 9970/ 21553 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.30 | learning rate: 1.221E-04 | global batch size: 256 | lm loss: 3.070135E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.606 | TFLOPs: 29.67 | 7: iteration 9980/ 21553 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.31 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 3.051276E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.336 | TFLOPs: 29.14 | 7: iteration 9990/ 21553 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.30 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 3.083332E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.708 | TFLOPs: 29.47 | 0: [2022-11-29 17:59:17,204] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.00012168458711439383, 0.00012168458711439383, 0.00012168458711439383], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 21553 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.31 | learning rate: 1.217E-04 | global batch size: 256 | lm loss: 3.088405E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.840 | TFLOPs: 29.16 | 0: steps: 10000 loss: 3.0901 iter time (s): 0.307 samples/sec: 832.971 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.969868E+00 | lm loss PPL: 1.948935E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_146moscareap 0: [2022-11-29 17:59:17,338] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-29 17:59:17,342] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step10000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:59:17,426] [INFO] 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checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 2: [2022-11-29 17:59:17,729] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 7: [2022-11-29 17:59:17,729] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-29 17:59:17,729] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-29 17:59:17,730] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:59:17,730] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-29 17:59:17,730] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-29 17:59:17,731] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:59:17,731] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-29 17:59:17,731] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2022-11-29 17:59:17,732] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:59:17,732] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-29 17:59:17,732] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 3: [2022-11-29 17:59:17,733] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:59:17,733] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:59:17,733] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: [2022-11-29 17:59:17,736] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step10000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:59:17,736] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 406.69 7: iteration 10010/ 21553 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 0.36 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 3.101935E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 716.314 | TFLOPs: 25.08 | 7: iteration 10020/ 21553 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.31 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 3.051731E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.697 | TFLOPs: 29.15 | 7: iteration 10030/ 21553 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.31 | learning rate: 1.213E-04 | global batch size: 256 | lm loss: 3.084822E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.231 | TFLOPs: 29.17 | 7: iteration 10040/ 21553 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.30 | learning rate: 1.212E-04 | global batch size: 256 | lm loss: 3.097530E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.160 | TFLOPs: 29.52 | 7: iteration 10050/ 21553 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.30 | learning rate: 1.210E-04 | global batch size: 256 | lm loss: 3.062292E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.751 | TFLOPs: 29.75 | 7: iteration 10060/ 21553 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.33 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 3.092615E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 773.566 | TFLOPs: 27.08 | 7: iteration 10070/ 21553 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.31 | learning rate: 1.208E-04 | global batch size: 256 | lm loss: 3.081256E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.332 | TFLOPs: 29.10 | 7: iteration 10080/ 21553 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.30 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 3.067495E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.709 | TFLOPs: 29.61 | 7: iteration 10090/ 21553 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.31 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 3.064496E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.636 | TFLOPs: 29.11 | 7: iteration 10100/ 21553 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.31 | learning rate: 1.204E-04 | global batch size: 256 | lm loss: 3.042019E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.551 | TFLOPs: 28.59 | 7: iteration 10110/ 21553 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.31 | learning rate: 1.202E-04 | global batch size: 256 | lm loss: 3.077037E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.157 | TFLOPs: 28.47 | 7: iteration 10120/ 21553 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.30 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 3.074398E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.040 | TFLOPs: 29.62 | 7: iteration 10130/ 21553 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.30 | learning rate: 1.200E-04 | global batch size: 256 | lm loss: 3.066319E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.217 | TFLOPs: 29.55 | 7: iteration 10140/ 21553 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.31 | learning rate: 1.198E-04 | global batch size: 256 | lm loss: 3.080775E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.635 | TFLOPs: 29.29 | 7: iteration 10150/ 21553 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.30 | learning rate: 1.197E-04 | global batch size: 256 | lm loss: 3.091616E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.320 | TFLOPs: 29.45 | 7: iteration 10160/ 21553 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.31 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 3.112759E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.409 | TFLOPs: 28.65 | 7: iteration 10170/ 21553 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.31 | learning rate: 1.194E-04 | global batch size: 256 | lm loss: 3.098215E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.609 | TFLOPs: 29.32 | 7: iteration 10180/ 21553 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 0.31 | learning rate: 1.193E-04 | global batch size: 256 | lm loss: 3.062722E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.745 | TFLOPs: 28.52 | 7: iteration 10190/ 21553 | consumed samples: 2608640 | consumed tokens: 5342494720 | elapsed time per iteration (s): 0.31 | learning rate: 1.192E-04 | global batch size: 256 | lm loss: 3.074955E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.254 | TFLOPs: 28.82 | 7: iteration 10200/ 21553 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 0.31 | learning rate: 1.191E-04 | global batch size: 256 | lm loss: 3.076324E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.672 | TFLOPs: 28.90 | 7: iteration 10210/ 21553 | consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 0.39 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 3.053612E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 656.370 | TFLOPs: 22.98 | 7: iteration 10220/ 21553 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 0.32 | learning rate: 1.188E-04 | global batch size: 256 | lm loss: 3.068676E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.729 | TFLOPs: 28.31 | 7: iteration 10230/ 21553 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 0.31 | learning rate: 1.187E-04 | global batch size: 256 | lm loss: 3.086082E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.557 | TFLOPs: 28.90 | 7: iteration 10240/ 21553 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 0.31 | learning rate: 1.185E-04 | global batch size: 256 | lm loss: 3.076619E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.736 | TFLOPs: 29.15 | 7: iteration 10250/ 21553 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 0.31 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 3.069819E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.080 | TFLOPs: 29.23 | 7: iteration 10260/ 21553 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.31 | learning rate: 1.183E-04 | global batch size: 256 | lm loss: 3.060173E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.266 | TFLOPs: 29.10 | 7: iteration 10270/ 21553 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.31 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 3.069637E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.058 | TFLOPs: 29.34 | 7: iteration 10280/ 21553 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 0.31 | learning rate: 1.180E-04 | global batch size: 256 | lm loss: 3.045089E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.227 | TFLOPs: 29.31 | 7: iteration 10290/ 21553 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 0.35 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 3.051491E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 724.094 | TFLOPs: 25.35 | 7: iteration 10300/ 21553 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.33 | learning rate: 1.177E-04 | global batch size: 256 | lm loss: 3.056728E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 777.553 | TFLOPs: 27.22 | 7: iteration 10310/ 21553 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.31 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 3.073452E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.717 | TFLOPs: 29.01 | 7: iteration 10320/ 21553 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.33 | learning rate: 1.175E-04 | global batch size: 256 | lm loss: 3.103901E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.048 | TFLOPs: 27.45 | 7: iteration 10330/ 21553 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.31 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 3.075531E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.532 | TFLOPs: 28.72 | 7: iteration 10340/ 21553 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.35 | learning rate: 1.172E-04 | global batch size: 256 | lm loss: 3.080236E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 733.584 | TFLOPs: 25.68 | 7: iteration 10350/ 21553 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.89 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 3.089172E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.972 | TFLOPs: 10.05 | 7: iteration 10360/ 21553 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.31 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 3.086770E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.335 | TFLOPs: 28.61 | 7: iteration 10370/ 21553 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 0.31 | learning rate: 1.168E-04 | global batch size: 256 | lm loss: 3.072936E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.034 | TFLOPs: 29.20 | 7: iteration 10380/ 21553 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 0.32 | learning rate: 1.167E-04 | global batch size: 256 | lm loss: 3.059031E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 794.407 | TFLOPs: 27.81 | 7: iteration 10390/ 21553 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.31 | learning rate: 1.165E-04 | global batch size: 256 | lm loss: 3.094077E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.509 | TFLOPs: 28.90 | 7: iteration 10400/ 21553 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.30 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 3.068248E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.595 | TFLOPs: 29.46 | 7: iteration 10410/ 21553 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.31 | learning rate: 1.163E-04 | global batch size: 256 | lm loss: 3.082508E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.172 | TFLOPs: 29.38 | 7: iteration 10420/ 21553 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.30 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 3.066338E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.184 | TFLOPs: 29.45 | 7: iteration 10430/ 21553 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 0.31 | learning rate: 1.160E-04 | global batch size: 256 | lm loss: 3.049464E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.347 | TFLOPs: 28.79 | 7: iteration 10440/ 21553 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 0.31 | learning rate: 1.159E-04 | global batch size: 256 | lm loss: 3.086033E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.427 | TFLOPs: 28.55 | 7: iteration 10450/ 21553 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.31 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 3.047740E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.376 | TFLOPs: 29.35 | 7: iteration 10460/ 21553 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.31 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 3.077335E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.211 | TFLOPs: 28.50 | 7: iteration 10470/ 21553 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.32 | learning rate: 1.155E-04 | global batch size: 256 | lm loss: 3.043403E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.557 | TFLOPs: 28.10 | 7: iteration 10480/ 21553 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.31 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 3.047260E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.465 | TFLOPs: 29.11 | 7: iteration 10490/ 21553 | consumed samples: 2685440 | consumed tokens: 5499781120 | elapsed time per iteration (s): 0.33 | learning rate: 1.152E-04 | global batch size: 256 | lm loss: 3.099412E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 782.743 | TFLOPs: 27.40 | 7: iteration 10500/ 21553 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 0.35 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 3.078673E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 726.247 | TFLOPs: 25.42 | 7: iteration 10510/ 21553 | consumed samples: 2690560 | consumed tokens: 5510266880 | elapsed time per iteration (s): 0.34 | learning rate: 1.150E-04 | global batch size: 256 | lm loss: 3.088224E+00 | grad norm: 1.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 751.935 | TFLOPs: 26.32 | 7: iteration 10520/ 21553 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 0.32 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 3.087441E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.028 | TFLOPs: 27.66 | 7: iteration 10530/ 21553 | consumed samples: 2695680 | consumed tokens: 5520752640 | elapsed time per iteration (s): 0.31 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 3.062491E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.437 | TFLOPs: 29.18 | 7: iteration 10540/ 21553 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 0.31 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 3.036097E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.970 | TFLOPs: 28.84 | 7: iteration 10550/ 21553 | consumed samples: 2700800 | consumed tokens: 5531238400 | elapsed time per iteration (s): 0.30 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 3.067878E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped 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256 | lm loss: 3.048903E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.385 | TFLOPs: 29.38 | 7: iteration 10850/ 21553 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 0.32 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 3.077213E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.065 | TFLOPs: 28.36 | 7: iteration 10860/ 21553 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 0.30 | learning rate: 1.103E-04 | global batch size: 256 | lm loss: 3.089554E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.858 | TFLOPs: 29.65 | 7: iteration 10870/ 21553 | consumed samples: 2782720 | consumed tokens: 5699010560 | elapsed time per iteration (s): 0.31 | learning rate: 1.102E-04 | global batch size: 256 | lm loss: 3.091503E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.348 | TFLOPs: 28.72 | 7: iteration 10880/ 21553 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 0.30 | learning rate: 1.101E-04 | global batch size: 256 | lm loss: 3.037291E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.002 | TFLOPs: 29.41 | 7: iteration 10890/ 21553 | consumed samples: 2787840 | consumed tokens: 5709496320 | elapsed time per iteration (s): 0.31 | learning rate: 1.099E-04 | global batch size: 256 | lm loss: 3.035063E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.913 | TFLOPs: 28.98 | 7: iteration 10900/ 21553 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 0.31 | learning rate: 1.098E-04 | global batch size: 256 | lm loss: 3.052606E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.340 | TFLOPs: 29.35 | 7: iteration 10910/ 21553 | consumed samples: 2792960 | consumed tokens: 5719982080 | elapsed time per iteration (s): 0.31 | learning rate: 1.097E-04 | global batch size: 256 | lm loss: 3.046585E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.763 | TFLOPs: 28.91 | 7: iteration 10920/ 21553 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 0.50 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 3.061488E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 508.073 | TFLOPs: 17.79 | 7: iteration 10930/ 21553 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 0.46 | learning rate: 1.094E-04 | global batch size: 256 | lm loss: 3.066928E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 555.976 | TFLOPs: 19.46 | 7: iteration 10940/ 21553 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.34 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 3.025098E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 744.719 | TFLOPs: 26.07 | 7: iteration 10950/ 21553 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.39 | learning rate: 1.091E-04 | global batch size: 256 | lm loss: 3.065198E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 652.084 | TFLOPs: 22.83 | 7: iteration 10960/ 21553 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.38 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 3.043441E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 678.276 | TFLOPs: 23.74 | 7: iteration 10970/ 21553 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 0.41 | learning rate: 1.089E-04 | global batch size: 256 | lm loss: 3.066739E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 631.033 | TFLOPs: 22.09 | 7: iteration 10980/ 21553 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.36 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 3.064581E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 702.403 | TFLOPs: 24.59 | 7: iteration 10990/ 21553 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.30 | learning rate: 1.086E-04 | global batch size: 256 | lm loss: 3.044945E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.324 | TFLOPs: 29.70 | 7: iteration 11000/ 21553 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.31 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 3.047306E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.482 | TFLOPs: 29.35 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 11000 | lm loss value: 2.978075E+00 | lm loss PPL: 1.964995E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 11000 to checkpoints_146moscareap 0: [2022-11-29 18:04:48,452] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step11000 is begin to save! 0: [2022-11-29 18:04:48,455] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step11000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:04:48,578] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:04:48,578] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step11000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:04:48,602] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:04:48,602] [INFO] 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checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt... 6: [2022-11-29 18:04:48,930] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:04:48,931] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 18:04:48,931] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 1: [2022-11-29 18:04:48,932] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:04:48,932] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-29 18:04:48,932] [INFO] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 18:04:48,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 2: [2022-11-29 18:04:48,934] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:04:48,934] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-29 18:04:48,934] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 0: [2022-11-29 18:04:48,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:04:48,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 18:04:48,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 6: [2022-11-29 18:04:48,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:04:48,935] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 18:04:48,935] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 5: [2022-11-29 18:04:48,935] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:04:48,935] [INFO] 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checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 18:04:48,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 18:04:48,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 3: [2022-11-29 18:04:48,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 3: [2022-11-29 18:04:48,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step11000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 18:04:48,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step11000 is ready now! 4: [2022-11-29 18:04:48,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.578 | TFLOPs: 28.87 | 7: iteration 11030/ 21553 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.31 | learning rate: 1.081E-04 | global batch size: 256 | lm loss: 3.062807E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.971 | TFLOPs: 28.77 | 7: iteration 11040/ 21553 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.31 | learning rate: 1.079E-04 | global batch size: 256 | lm loss: 3.074957E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.749 | TFLOPs: 28.91 | 7: iteration 11050/ 21553 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.31 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 3.047575E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.651 | TFLOPs: 29.08 | 7: iteration 11060/ 21553 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.31 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 3.069536E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.559 | TFLOPs: 29.18 | 7: iteration 11070/ 21553 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.31 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 3.067053E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.998 | TFLOPs: 29.27 | 7: iteration 11080/ 21553 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.30 | learning rate: 1.074E-04 | global batch size: 256 | lm loss: 3.018124E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.234 | TFLOPs: 29.55 | 7: iteration 11090/ 21553 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.31 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 3.045595E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.065 | TFLOPs: 28.95 | 7: iteration 11100/ 21553 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 0.31 | learning rate: 1.071E-04 | global batch size: 256 | lm loss: 3.033827E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.844 | TFLOPs: 28.49 | 7: iteration 11110/ 21553 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 0.31 | learning rate: 1.070E-04 | global batch size: 256 | lm loss: 3.051576E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.264 | TFLOPs: 29.07 | 7: iteration 11120/ 21553 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 0.32 | learning rate: 1.069E-04 | global batch size: 256 | lm loss: 3.060762E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 788.944 | TFLOPs: 27.62 | 7: iteration 11130/ 21553 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.30 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 3.070701E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.844 | TFLOPs: 29.61 | 7: iteration 11140/ 21553 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.30 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 3.046836E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.300 | TFLOPs: 29.87 | 7: iteration 11150/ 21553 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.30 | learning rate: 1.065E-04 | global batch size: 256 | lm loss: 3.067544E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.726 | TFLOPs: 29.57 | 7: iteration 11160/ 21553 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.31 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 3.038937E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.407 | TFLOPs: 29.28 | 7: iteration 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second: 828.204 | TFLOPs: 28.99 | 7: iteration 11200/ 21553 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.36 | learning rate: 1.058E-04 | global batch size: 256 | lm loss: 3.069201E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 711.750 | TFLOPs: 24.92 | 7: iteration 11210/ 21553 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.32 | learning rate: 1.057E-04 | global batch size: 256 | lm loss: 3.054589E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.949 | TFLOPs: 28.32 | 7: iteration 11220/ 21553 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.31 | learning rate: 1.056E-04 | global batch size: 256 | lm loss: 3.035802E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.505 | TFLOPs: 28.97 | 7: iteration 11230/ 21553 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.31 | learning rate: 1.054E-04 | global batch size: 256 | lm loss: 3.059647E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.721 | TFLOPs: 29.29 | 7: iteration 11240/ 21553 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.31 | learning rate: 1.053E-04 | global batch size: 256 | lm loss: 3.056754E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.509 | TFLOPs: 29.18 | 7: iteration 11250/ 21553 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.32 | learning rate: 1.052E-04 | global batch size: 256 | lm loss: 3.029201E+00 | grad norm: 0.312 | num zeros: 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3.052083E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 759.935 | TFLOPs: 26.60 | 7: iteration 11290/ 21553 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.30 | learning rate: 1.046E-04 | global batch size: 256 | lm loss: 3.044228E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.748 | TFLOPs: 29.75 | 7: iteration 11300/ 21553 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.30 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 3.053394E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.458 | TFLOPs: 29.70 | 7: iteration 11310/ 21553 | consumed samples: 2895360 | consumed tokens: 5929697280 | elapsed time per iteration (s): 0.31 | learning rate: 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second: 827.590 | TFLOPs: 28.97 | 7: iteration 11430/ 21553 | consumed samples: 2926080 | consumed tokens: 5992611840 | elapsed time per iteration (s): 0.30 | learning rate: 1.028E-04 | global batch size: 256 | lm loss: 3.033152E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.346 | TFLOPs: 29.59 | 7: iteration 11440/ 21553 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.32 | learning rate: 1.026E-04 | global batch size: 256 | lm loss: 3.096243E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.686 | TFLOPs: 28.41 | 7: iteration 11450/ 21553 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.31 | learning rate: 1.025E-04 | global batch size: 256 | lm loss: 3.024839E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.585 | TFLOPs: 29.15 | 7: iteration 11460/ 21553 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 0.31 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 3.033568E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.188 | TFLOPs: 29.27 | 7: iteration 11470/ 21553 | consumed samples: 2936320 | consumed tokens: 6013583360 | elapsed time per iteration (s): 0.31 | learning rate: 1.022E-04 | global batch size: 256 | lm loss: 3.031758E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.295 | TFLOPs: 28.93 | 7: iteration 11480/ 21553 | consumed samples: 2938880 | consumed tokens: 6018826240 | elapsed time per iteration (s): 0.30 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 3.069358E+00 | grad norm: 0.370 | num zeros: 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3.068323E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.855 | TFLOPs: 29.16 | 7: iteration 11520/ 21553 | consumed samples: 2949120 | consumed tokens: 6039797760 | elapsed time per iteration (s): 0.31 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 3.058068E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.916 | TFLOPs: 29.26 | 7: iteration 11530/ 21553 | consumed samples: 2951680 | consumed tokens: 6045040640 | elapsed time per iteration (s): 0.30 | learning rate: 1.015E-04 | global batch size: 256 | lm loss: 3.030941E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.830 | TFLOPs: 29.40 | 7: iteration 11540/ 21553 | consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 0.32 | learning rate: 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second: 841.750 | TFLOPs: 29.47 | 7: iteration 11660/ 21553 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 0.31 | learning rate: 9.974E-05 | global batch size: 256 | lm loss: 3.053092E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.171 | TFLOPs: 28.82 | 7: iteration 11670/ 21553 | consumed samples: 2987520 | consumed tokens: 6118440960 | elapsed time per iteration (s): 0.31 | learning rate: 9.961E-05 | global batch size: 256 | lm loss: 3.023067E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.390 | TFLOPs: 28.72 | 7: iteration 11680/ 21553 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 0.32 | learning rate: 9.948E-05 | global batch size: 256 | lm loss: 3.041007E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.955 | TFLOPs: 28.07 | 7: iteration 11690/ 21553 | consumed samples: 2992640 | consumed tokens: 6128926720 | elapsed time per iteration (s): 0.31 | learning rate: 9.935E-05 | global batch size: 256 | lm loss: 3.049404E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.031 | TFLOPs: 29.02 | 7: iteration 11700/ 21553 | consumed samples: 2995200 | consumed tokens: 6134169600 | elapsed time per iteration (s): 0.31 | learning rate: 9.922E-05 | global batch size: 256 | lm loss: 3.045892E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.636 | TFLOPs: 29.18 | 7: iteration 11710/ 21553 | consumed samples: 2997760 | consumed tokens: 6139412480 | elapsed time per iteration (s): 0.31 | learning rate: 9.909E-05 | global batch size: 256 | lm loss: 3.049973E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.974 | TFLOPs: 29.20 | 7: iteration 11720/ 21553 | consumed samples: 3000320 | consumed tokens: 6144655360 | elapsed time per iteration (s): 0.31 | learning rate: 9.895E-05 | global batch size: 256 | lm loss: 3.018106E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.109 | TFLOPs: 28.78 | 7: iteration 11730/ 21553 | consumed samples: 3002880 | consumed tokens: 6149898240 | elapsed time per iteration (s): 0.30 | learning rate: 9.882E-05 | global batch size: 256 | lm loss: 3.027415E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.531 | TFLOPs: 29.60 | 7: iteration 11740/ 21553 | consumed samples: 3005440 | consumed tokens: 6155141120 | elapsed time per iteration (s): 0.31 | learning rate: 9.869E-05 | global batch size: 256 | lm loss: 3.005216E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.011 | TFLOPs: 29.34 | 7: iteration 11750/ 21553 | consumed samples: 3008000 | consumed tokens: 6160384000 | elapsed time per iteration (s): 0.32 | learning rate: 9.856E-05 | global batch size: 256 | lm loss: 3.041295E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.882 | TFLOPs: 28.32 | 7: iteration 11760/ 21553 | consumed samples: 3010560 | consumed tokens: 6165626880 | elapsed time per iteration (s): 0.31 | learning rate: 9.843E-05 | global batch size: 256 | lm loss: 3.060173E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.030 | TFLOPs: 28.64 | 7: iteration 11770/ 21553 | consumed samples: 3013120 | consumed tokens: 6170869760 | elapsed time per iteration (s): 0.32 | learning rate: 9.830E-05 | global batch size: 256 | lm loss: 3.025389E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.517 | TFLOPs: 28.41 | 7: iteration 11780/ 21553 | consumed samples: 3015680 | consumed tokens: 6176112640 | elapsed time per iteration (s): 0.31 | learning rate: 9.817E-05 | global batch size: 256 | lm loss: 3.043961E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.156 | TFLOPs: 29.13 | 7: iteration 11790/ 21553 | consumed samples: 3018240 | consumed tokens: 6181355520 | elapsed time per iteration (s): 0.31 | learning rate: 9.803E-05 | global batch size: 256 | lm loss: 3.025750E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.501 | TFLOPs: 28.97 | 7: iteration 11800/ 21553 | consumed samples: 3020800 | consumed tokens: 6186598400 | elapsed time 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consumed tokens: 6202327040 | elapsed time per iteration (s): 0.31 | learning rate: 9.751E-05 | global batch size: 256 | lm loss: 3.054033E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.780 | TFLOPs: 28.91 | 7: iteration 11840/ 21553 | consumed samples: 3031040 | consumed tokens: 6207569920 | elapsed time per iteration (s): 0.30 | learning rate: 9.738E-05 | global batch size: 256 | lm loss: 3.038434E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.212 | TFLOPs: 29.55 | 7: iteration 11850/ 21553 | consumed samples: 3033600 | consumed tokens: 6212812800 | elapsed time per iteration (s): 0.30 | learning rate: 9.725E-05 | global batch size: 256 | lm loss: 3.053331E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.935 | TFLOPs: 29.44 | 7: iteration 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9.528206376265585e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 12000/ 21553 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.31 | learning rate: 9.528E-05 | global batch size: 256 | lm loss: 3.008811E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.770 | TFLOPs: 28.84 | 0: steps: 12000 loss: 2.9944 iter time (s): 0.318 samples/sec: 804.813 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 12000 | lm loss value: 2.889021E+00 | lm loss PPL: 1.797571E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 12000 to checkpoints_146moscareap 0: [2022-11-29 18:10:00,042] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step12000 is begin to save! 0: [2022-11-29 18:10:00,051] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 7: [2022-11-29 18:10:00,461] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:10:00,461] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 18:10:00,461] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 7: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:10:00,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 18:10:00,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 7: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 3: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:10:00,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 18:10:00,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 18:10:00,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 3: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 3: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 6: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:10:00,462] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 18:10:00,462] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 7: time (ms) | save-checkpoint: 435.15 0: [2022-11-29 18:10:00,470] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step12000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:10:00,471] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step12000 is ready now! 0: successfully saved checkpoint at iteration 12000 to checkpoints_146moscareap 7: iteration 12010/ 21553 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.36 | learning rate: 9.515E-05 | global batch size: 256 | lm loss: 3.040500E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 702.193 | TFLOPs: 24.58 | 7: iteration 12020/ 21553 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.31 | learning rate: 9.502E-05 | global batch size: 256 | lm loss: 3.059344E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.657 | TFLOPs: 29.04 | 7: iteration 12030/ 21553 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.31 | learning rate: 9.489E-05 | global batch size: 256 | lm loss: 3.032331E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.110 | TFLOPs: 28.88 | 7: iteration 12040/ 21553 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 0.31 | learning rate: 9.476E-05 | global batch size: 256 | lm loss: 3.022880E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.949 | TFLOPs: 29.30 | 7: iteration 12050/ 21553 | consumed samples: 3084800 | consumed tokens: 6317670400 | elapsed time per iteration (s): 0.31 | learning rate: 9.463E-05 | global batch size: 256 | lm loss: 3.004765E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.312 | TFLOPs: 28.82 | 7: iteration 12060/ 21553 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 0.32 | learning rate: 9.450E-05 | global batch size: 256 | lm loss: 3.053661E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.955 | TFLOPs: 28.14 | 7: iteration 12070/ 21553 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.32 | learning rate: 9.437E-05 | global batch size: 256 | lm loss: 3.058262E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.401 | TFLOPs: 27.95 | 7: iteration 12080/ 21553 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.33 | learning rate: 9.424E-05 | global batch size: 256 | lm loss: 3.025723E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 776.032 | TFLOPs: 27.17 | 7: iteration 12090/ 21553 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.32 | learning rate: 9.411E-05 | global batch size: 256 | lm loss: 3.056576E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.903 | TFLOPs: 28.04 | 7: iteration 12100/ 21553 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.31 | learning rate: 9.398E-05 | global batch size: 256 | lm loss: 3.031945E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.217 | TFLOPs: 28.89 | 7: iteration 12110/ 21553 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.31 | learning rate: 9.385E-05 | global batch size: 256 | lm loss: 3.023671E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.165 | TFLOPs: 29.27 | 7: iteration 12120/ 21553 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 0.42 | learning rate: 9.372E-05 | global batch size: 256 | lm loss: 3.060669E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 609.492 | TFLOPs: 21.34 | 7: iteration 12130/ 21553 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.38 | learning rate: 9.359E-05 | global batch size: 256 | lm loss: 3.009803E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 674.829 | TFLOPs: 23.62 | 7: iteration 12140/ 21553 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.37 | learning rate: 9.346E-05 | global batch size: 256 | lm loss: 3.019573E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 689.836 | TFLOPs: 24.15 | 7: iteration 12150/ 21553 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.45 | learning rate: 9.332E-05 | global batch size: 256 | lm loss: 3.044581E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 571.370 | TFLOPs: 20.00 | 7: iteration 12160/ 21553 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.32 | learning rate: 9.319E-05 | global batch size: 256 | lm loss: 3.038515E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.344 | TFLOPs: 27.95 | 7: iteration 12170/ 21553 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.31 | learning rate: 9.306E-05 | global batch size: 256 | lm loss: 3.041611E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.478 | TFLOPs: 28.83 | 7: iteration 12180/ 21553 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.31 | learning rate: 9.293E-05 | global batch size: 256 | lm loss: 2.994592E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.762 | TFLOPs: 28.94 | 7: iteration 12190/ 21553 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 0.31 | learning rate: 9.280E-05 | global batch size: 256 | lm loss: 3.019757E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.824 | TFLOPs: 29.26 | 7: iteration 12200/ 21553 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 0.31 | learning rate: 9.267E-05 | global batch size: 256 | lm loss: 3.051655E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.694 | TFLOPs: 29.01 | 7: iteration 12210/ 21553 | consumed samples: 3125760 | consumed tokens: 6401556480 | elapsed time per iteration (s): 0.31 | learning rate: 9.254E-05 | global batch size: 256 | lm loss: 3.026161E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.758 | TFLOPs: 28.94 | 7: iteration 12220/ 21553 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 0.31 | learning rate: 9.241E-05 | global batch size: 256 | lm loss: 3.039485E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.335 | TFLOPs: 28.93 | 7: iteration 12230/ 21553 | consumed samples: 3130880 | consumed tokens: 6412042240 | elapsed time per iteration (s): 0.33 | learning rate: 9.228E-05 | global batch size: 256 | lm loss: 3.035902E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.361 | TFLOPs: 27.53 | 7: iteration 12240/ 21553 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 0.32 | learning rate: 9.215E-05 | global batch size: 256 | lm loss: 3.040896E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.061 | TFLOPs: 27.83 | 7: iteration 12250/ 21553 | consumed samples: 3136000 | consumed tokens: 6422528000 | elapsed time per iteration (s): 0.31 | learning rate: 9.202E-05 | global batch size: 256 | lm loss: 3.042946E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.603 | TFLOPs: 28.48 | 7: iteration 12260/ 21553 | consumed samples: 3138560 | consumed tokens: 6427770880 | elapsed time per iteration (s): 0.31 | learning rate: 9.189E-05 | global batch size: 256 | lm loss: 3.020057E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.214 | TFLOPs: 28.96 | 7: iteration 12270/ 21553 | consumed samples: 3141120 | consumed tokens: 6433013760 | elapsed time per iteration (s): 0.32 | learning rate: 9.177E-05 | global batch size: 256 | lm loss: 3.051182E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.568 | TFLOPs: 28.45 | 7: iteration 12280/ 21553 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 0.31 | learning rate: 9.164E-05 | global batch size: 256 | lm loss: 3.032243E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.447 | TFLOPs: 29.14 | 7: iteration 12290/ 21553 | consumed samples: 3146240 | consumed tokens: 6443499520 | elapsed time per iteration (s): 0.30 | learning rate: 9.151E-05 | global batch size: 256 | lm loss: 3.029428E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.619 | TFLOPs: 29.39 | 7: iteration 12300/ 21553 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 0.31 | learning rate: 9.138E-05 | global batch size: 256 | lm loss: 3.025447E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.197 | TFLOPs: 28.50 | 7: iteration 12310/ 21553 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.31 | learning rate: 9.125E-05 | global batch size: 256 | lm loss: 3.025416E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.318 | TFLOPs: 29.31 | 7: iteration 12320/ 21553 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.30 | learning rate: 9.112E-05 | global batch size: 256 | lm loss: 3.039717E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.803 | TFLOPs: 29.64 | 7: iteration 12330/ 21553 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.31 | learning rate: 9.099E-05 | global batch size: 256 | lm loss: 3.021101E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.614 | TFLOPs: 29.15 | 7: iteration 12340/ 21553 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 0.31 | learning rate: 9.086E-05 | global batch size: 256 | lm loss: 3.010198E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.782 | TFLOPs: 29.36 | 7: iteration 12350/ 21553 | consumed samples: 3161600 | consumed tokens: 6474956800 | elapsed time per iteration (s): 0.31 | learning rate: 9.073E-05 | global batch size: 256 | lm loss: 3.034445E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.403 | TFLOPs: 29.18 | 7: iteration 12360/ 21553 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 0.31 | learning rate: 9.060E-05 | global batch size: 256 | lm loss: 3.037195E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.742 | TFLOPs: 28.84 | 7: iteration 12370/ 21553 | consumed samples: 3166720 | consumed tokens: 6485442560 | elapsed time per iteration (s): 0.31 | learning rate: 9.047E-05 | global batch size: 256 | lm loss: 3.032957E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.042 | TFLOPs: 29.20 | 7: iteration 12380/ 21553 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 0.31 | learning rate: 9.034E-05 | global batch size: 256 | lm loss: 3.018188E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.381 | TFLOPs: 29.10 | 7: iteration 12390/ 21553 | consumed samples: 3171840 | consumed tokens: 6495928320 | elapsed time per iteration (s): 0.32 | learning rate: 9.021E-05 | global batch size: 256 | lm loss: 3.002707E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.803 | TFLOPs: 27.89 | 7: iteration 12400/ 21553 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 0.32 | learning rate: 9.008E-05 | global batch size: 256 | lm loss: 3.059467E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.992 | TFLOPs: 27.90 | 7: iteration 12410/ 21553 | consumed samples: 3176960 | consumed tokens: 6506414080 | elapsed time per iteration (s): 0.31 | learning rate: 8.995E-05 | global batch size: 256 | lm loss: 3.037637E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.291 | TFLOPs: 28.93 | 7: iteration 12420/ 21553 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 0.32 | learning rate: 8.982E-05 | global batch size: 256 | lm loss: 3.026830E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.164 | TFLOPs: 28.36 | 7: iteration 12430/ 21553 | consumed samples: 3182080 | consumed tokens: 6516899840 | elapsed time per iteration (s): 0.31 | learning rate: 8.969E-05 | global batch size: 256 | lm loss: 3.036768E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.502 | TFLOPs: 29.00 | 7: iteration 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second: 814.670 | TFLOPs: 28.52 | 7: iteration 12470/ 21553 | consumed samples: 3192320 | consumed tokens: 6537871360 | elapsed time per iteration (s): 0.31 | learning rate: 8.918E-05 | global batch size: 256 | lm loss: 3.028412E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.420 | TFLOPs: 29.14 | 7: iteration 12480/ 21553 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 0.31 | learning rate: 8.905E-05 | global batch size: 256 | lm loss: 3.040649E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.890 | TFLOPs: 28.98 | 7: iteration 12490/ 21553 | consumed samples: 3197440 | consumed tokens: 6548357120 | elapsed time per iteration (s): 0.31 | learning rate: 8.892E-05 | global batch size: 256 | lm loss: 3.015631E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.919 | TFLOPs: 28.77 | 7: iteration 12500/ 21553 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 0.31 | learning rate: 8.879E-05 | global batch size: 256 | lm loss: 3.009589E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.206 | TFLOPs: 29.06 | 7: iteration 12510/ 21553 | consumed samples: 3202560 | consumed tokens: 6558842880 | elapsed time per iteration (s): 0.31 | learning rate: 8.866E-05 | global batch size: 256 | lm loss: 3.013798E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.439 | TFLOPs: 28.86 | 7: iteration 12520/ 21553 | consumed samples: 3205120 | consumed tokens: 6564085760 | elapsed time per iteration (s): 0.32 | learning rate: 8.853E-05 | global batch size: 256 | lm loss: 3.030852E+00 | grad norm: 0.326 | num zeros: 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per iteration (s): 0.31 | learning rate: 8.444E-05 | global batch size: 256 | lm loss: 3.017426E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.929 | TFLOPs: 28.98 | 7: iteration 12850/ 21553 | consumed samples: 3289600 | consumed tokens: 6737100800 | elapsed time per iteration (s): 0.33 | learning rate: 8.431E-05 | global batch size: 256 | lm loss: 3.009374E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.144 | TFLOPs: 27.52 | 7: iteration 12860/ 21553 | consumed samples: 3292160 | consumed tokens: 6742343680 | elapsed time per iteration (s): 0.31 | learning rate: 8.419E-05 | global batch size: 256 | lm loss: 3.003822E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.339 | TFLOPs: 28.65 | 7: iteration 12870/ 21553 | consumed samples: 3294720 | 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second: 811.269 | TFLOPs: 28.40 | 7: iteration 12930/ 21553 | consumed samples: 3310080 | consumed tokens: 6779043840 | elapsed time per iteration (s): 0.31 | learning rate: 8.330E-05 | global batch size: 256 | lm loss: 3.007882E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.446 | TFLOPs: 28.65 | 7: iteration 12940/ 21553 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 0.32 | learning rate: 8.317E-05 | global batch size: 256 | lm loss: 3.027325E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.469 | TFLOPs: 28.27 | 7: iteration 12950/ 21553 | consumed samples: 3315200 | consumed tokens: 6789529600 | elapsed time per iteration (s): 0.31 | learning rate: 8.305E-05 | global batch size: 256 | lm loss: 3.020550E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.340 | TFLOPs: 29.00 | 7: iteration 12960/ 21553 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 0.31 | learning rate: 8.292E-05 | global batch size: 256 | lm loss: 3.031963E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.447 | TFLOPs: 29.07 | 7: iteration 12970/ 21553 | consumed samples: 3320320 | consumed tokens: 6800015360 | elapsed time per iteration (s): 0.31 | learning rate: 8.279E-05 | global batch size: 256 | lm loss: 3.022638E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.475 | TFLOPs: 29.00 | 7: iteration 12980/ 21553 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 0.31 | learning rate: 8.267E-05 | global batch size: 256 | lm loss: 3.020835E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.922 | TFLOPs: 28.84 | 7: iteration 12990/ 21553 | consumed samples: 3325440 | consumed tokens: 6810501120 | elapsed time per iteration (s): 0.30 | learning rate: 8.254E-05 | global batch size: 256 | lm loss: 2.995591E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.188 | TFLOPs: 29.52 | 7: iteration 13000/ 21553 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 0.31 | learning rate: 8.242E-05 | global batch size: 256 | lm loss: 3.011425E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.032 | TFLOPs: 28.53 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 13000 | lm loss value: 2.962404E+00 | lm loss PPL: 1.934441E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 13000 to checkpoints_146moscareap 0: [2022-11-29 18:15:16,701] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step13000 is begin to save! 0: [2022-11-29 18:15:16,802] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step13000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:15:17,110] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:15:17,110] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step13000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:15:17,126] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:15:17,126] [INFO] 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checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt... 2: [2022-11-29 18:15:17,438] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:15:17,438] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2022-11-29 18:15:17,438] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 2: [2022-11-29 18:15:17,439] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:15:17,439] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:15:17,439] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 3: [2022-11-29 18:15:17,439] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 18:15:17,439] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 2: [2022-11-29 18:15:17,439] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 0: [2022-11-29 18:15:17,440] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:15:17,440] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:15:17,440] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 18:15:17,440] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 3: [2022-11-29 18:15:17,440] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:15:17,440] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 18:15:17,440] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step13000 is ready now! 3: [2022-11-29 18:15:17,441] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step13000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:15:17,441] [INFO] 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| lm loss: 3.023075E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.935 | TFLOPs: 28.63 | 7: iteration 13030/ 21553 | consumed samples: 3335680 | consumed tokens: 6831472640 | elapsed time per iteration (s): 0.31 | learning rate: 8.204E-05 | global batch size: 256 | lm loss: 3.024826E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.044 | TFLOPs: 28.53 | 7: iteration 13040/ 21553 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 0.34 | learning rate: 8.191E-05 | global batch size: 256 | lm loss: 3.003235E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 762.675 | TFLOPs: 26.70 | 7: iteration 13050/ 21553 | consumed samples: 3340800 | consumed tokens: 6841958400 | elapsed time per iteration (s): 0.31 | learning rate: 8.179E-05 | global batch size: 256 | lm loss: 2.992185E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.661 | TFLOPs: 28.97 | 7: iteration 13060/ 21553 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 0.31 | learning rate: 8.166E-05 | global batch size: 256 | lm loss: 3.034209E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.671 | TFLOPs: 28.69 | 7: iteration 13070/ 21553 | consumed samples: 3345920 | consumed tokens: 6852444160 | elapsed time per iteration (s): 0.31 | learning rate: 8.153E-05 | global batch size: 256 | lm loss: 2.985222E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.396 | TFLOPs: 28.96 | 7: iteration 13080/ 21553 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 0.31 | learning rate: 8.141E-05 | global batch size: 256 | lm loss: 3.028238E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.721 | TFLOPs: 29.01 | 7: iteration 13090/ 21553 | consumed samples: 3351040 | consumed tokens: 6862929920 | elapsed time per iteration (s): 0.31 | learning rate: 8.128E-05 | global batch size: 256 | lm loss: 3.034699E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.474 | TFLOPs: 28.48 | 7: iteration 13100/ 21553 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 0.31 | learning rate: 8.116E-05 | global batch size: 256 | lm loss: 3.044116E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.762 | TFLOPs: 29.05 | 7: iteration 13110/ 21553 | consumed samples: 3356160 | consumed tokens: 6873415680 | elapsed time per iteration (s): 0.31 | learning rate: 8.103E-05 | global batch size: 256 | lm loss: 2.988535E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.503 | TFLOPs: 29.18 | 7: iteration 13120/ 21553 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 0.31 | learning rate: 8.091E-05 | global batch size: 256 | lm loss: 3.003027E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.619 | TFLOPs: 28.52 | 7: iteration 13130/ 21553 | consumed samples: 3361280 | consumed tokens: 6883901440 | elapsed time per iteration (s): 0.31 | learning rate: 8.078E-05 | global batch size: 256 | lm loss: 3.008380E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.839 | TFLOPs: 29.05 | 7: iteration 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second: 834.095 | TFLOPs: 29.20 | 7: iteration 13170/ 21553 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.32 | learning rate: 8.028E-05 | global batch size: 256 | lm loss: 3.029069E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.870 | TFLOPs: 28.39 | 7: iteration 13180/ 21553 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.32 | learning rate: 8.016E-05 | global batch size: 256 | lm loss: 3.013885E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.318 | TFLOPs: 28.16 | 7: iteration 13190/ 21553 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.32 | learning rate: 8.003E-05 | global batch size: 256 | lm loss: 3.007264E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.632 | TFLOPs: 28.45 | 7: iteration 13200/ 21553 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.31 | learning rate: 7.991E-05 | global batch size: 256 | lm loss: 3.016214E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.153 | TFLOPs: 28.75 | 7: iteration 13210/ 21553 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 0.31 | learning rate: 7.978E-05 | global batch size: 256 | lm loss: 3.008058E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.944 | TFLOPs: 28.63 | 7: iteration 13220/ 21553 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 0.31 | learning rate: 7.966E-05 | global batch size: 256 | lm loss: 2.993146E+00 | grad norm: 0.302 | num zeros: 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3.034795E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.297 | TFLOPs: 29.17 | 7: iteration 13260/ 21553 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.32 | learning rate: 7.916E-05 | global batch size: 256 | lm loss: 2.996362E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.680 | TFLOPs: 28.24 | 7: iteration 13270/ 21553 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.31 | learning rate: 7.903E-05 | global batch size: 256 | lm loss: 3.022998E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.361 | TFLOPs: 28.96 | 7: iteration 13280/ 21553 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.31 | learning rate: 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second: 821.029 | TFLOPs: 28.74 | 7: iteration 13400/ 21553 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 0.31 | learning rate: 7.742E-05 | global batch size: 256 | lm loss: 2.991218E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.440 | TFLOPs: 28.86 | 7: iteration 13410/ 21553 | consumed samples: 3432960 | consumed tokens: 7030702080 | elapsed time per iteration (s): 0.31 | learning rate: 7.730E-05 | global batch size: 256 | lm loss: 3.006425E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.518 | TFLOPs: 28.76 | 7: iteration 13420/ 21553 | consumed samples: 3435520 | consumed tokens: 7035944960 | elapsed time per iteration (s): 0.31 | learning rate: 7.717E-05 | global batch size: 256 | lm loss: 3.001597E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.864 | TFLOPs: 28.88 | 7: iteration 13430/ 21553 | consumed samples: 3438080 | consumed tokens: 7041187840 | elapsed time per iteration (s): 0.31 | learning rate: 7.705E-05 | global batch size: 256 | lm loss: 3.016398E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.688 | TFLOPs: 28.84 | 7: iteration 13440/ 21553 | consumed samples: 3440640 | consumed tokens: 7046430720 | elapsed time per iteration (s): 0.53 | learning rate: 7.693E-05 | global batch size: 256 | lm loss: 2.998532E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 482.718 | TFLOPs: 16.90 | 7: iteration 13450/ 21553 | consumed samples: 3443200 | consumed tokens: 7051673600 | elapsed time per iteration (s): 0.36 | learning rate: 7.680E-05 | global batch size: 256 | lm loss: 3.006501E+00 | grad norm: 0.336 | num zeros: 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3.009017E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.479 | TFLOPs: 28.48 | 7: iteration 13490/ 21553 | consumed samples: 3453440 | consumed tokens: 7072645120 | elapsed time per iteration (s): 0.31 | learning rate: 7.631E-05 | global batch size: 256 | lm loss: 3.019187E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.925 | TFLOPs: 28.88 | 7: iteration 13500/ 21553 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 0.33 | learning rate: 7.619E-05 | global batch size: 256 | lm loss: 3.003338E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 776.517 | TFLOPs: 27.18 | 7: iteration 13510/ 21553 | consumed samples: 3458560 | consumed tokens: 7083130880 | elapsed time per iteration (s): 0.32 | learning rate: 7.607E-05 | global batch size: 256 | lm loss: 3.020750E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.273 | TFLOPs: 28.19 | 7: iteration 13520/ 21553 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 0.31 | learning rate: 7.594E-05 | global batch size: 256 | lm loss: 3.006097E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.825 | TFLOPs: 28.45 | 7: iteration 13530/ 21553 | consumed samples: 3463680 | consumed tokens: 7093616640 | elapsed time per iteration (s): 0.31 | learning rate: 7.582E-05 | global batch size: 256 | lm loss: 2.979517E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.882 | TFLOPs: 29.05 | 7: iteration 13540/ 21553 | consumed samples: 3466240 | consumed tokens: 7098859520 | elapsed time 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second: 813.757 | TFLOPs: 28.49 | 7: iteration 13630/ 21553 | consumed samples: 3489280 | consumed tokens: 7146045440 | elapsed time per iteration (s): 0.32 | learning rate: 7.460E-05 | global batch size: 256 | lm loss: 3.034702E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.782 | TFLOPs: 28.00 | 7: iteration 13640/ 21553 | consumed samples: 3491840 | consumed tokens: 7151288320 | elapsed time per iteration (s): 0.30 | learning rate: 7.448E-05 | global batch size: 256 | lm loss: 3.024898E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.147 | TFLOPs: 29.48 | 7: iteration 13650/ 21553 | consumed samples: 3494400 | consumed tokens: 7156531200 | elapsed time per iteration (s): 0.31 | learning rate: 7.436E-05 | global batch size: 256 | lm loss: 3.020448E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.783 | TFLOPs: 28.73 | 7: iteration 13660/ 21553 | consumed samples: 3496960 | consumed tokens: 7161774080 | elapsed time per iteration (s): 0.31 | learning rate: 7.423E-05 | global batch size: 256 | lm loss: 3.026060E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.889 | TFLOPs: 29.26 | 7: iteration 13670/ 21553 | consumed samples: 3499520 | consumed tokens: 7167016960 | elapsed time per iteration (s): 0.32 | learning rate: 7.411E-05 | global batch size: 256 | lm loss: 2.998920E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 793.670 | TFLOPs: 27.78 | 7: iteration 13680/ 21553 | consumed samples: 3502080 | consumed tokens: 7172259840 | elapsed time per iteration (s): 0.31 | learning rate: 7.399E-05 | global batch size: 256 | lm loss: 3.011267E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.299 | TFLOPs: 29.28 | 7: iteration 13690/ 21553 | consumed samples: 3504640 | consumed tokens: 7177502720 | elapsed time per iteration (s): 0.31 | learning rate: 7.387E-05 | global batch size: 256 | lm loss: 2.979966E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.871 | TFLOPs: 28.49 | 7: iteration 13700/ 21553 | consumed samples: 3507200 | consumed tokens: 7182745600 | elapsed time per iteration (s): 0.31 | learning rate: 7.375E-05 | global batch size: 256 | lm loss: 2.997007E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.242 | TFLOPs: 28.68 | 7: iteration 13710/ 21553 | consumed samples: 3509760 | consumed tokens: 7187988480 | elapsed time per iteration (s): 0.30 | learning rate: 7.363E-05 | global batch size: 256 | lm loss: 3.032613E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.692 | TFLOPs: 29.54 | 7: iteration 13720/ 21553 | consumed samples: 3512320 | consumed tokens: 7193231360 | elapsed time per iteration (s): 0.31 | learning rate: 7.351E-05 | global batch size: 256 | lm loss: 2.983518E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.518 | TFLOPs: 29.28 | 7: iteration 13730/ 21553 | consumed samples: 3514880 | consumed tokens: 7198474240 | elapsed time per iteration (s): 0.31 | learning rate: 7.339E-05 | global batch size: 256 | lm loss: 3.017857E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.846 | TFLOPs: 29.02 | 7: iteration 13740/ 21553 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 0.30 | learning rate: 7.326E-05 | global batch size: 256 | lm loss: 2.988370E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.794 | TFLOPs: 29.40 | 7: iteration 13750/ 21553 | consumed samples: 3520000 | consumed tokens: 7208960000 | elapsed time per iteration (s): 0.31 | learning rate: 7.314E-05 | global batch size: 256 | lm loss: 3.013315E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.921 | TFLOPs: 28.91 | 7: iteration 13760/ 21553 | consumed samples: 3522560 | consumed tokens: 7214202880 | elapsed time per iteration (s): 0.31 | learning rate: 7.302E-05 | global batch size: 256 | lm loss: 2.991409E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.522 | TFLOPs: 28.90 | 7: iteration 13770/ 21553 | consumed samples: 3525120 | consumed tokens: 7219445760 | elapsed time 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consumed tokens: 7235174400 | elapsed time per iteration (s): 0.32 | learning rate: 7.254E-05 | global batch size: 256 | lm loss: 2.992574E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.540 | TFLOPs: 28.09 | 7: iteration 13810/ 21553 | consumed samples: 3535360 | consumed tokens: 7240417280 | elapsed time per iteration (s): 0.32 | learning rate: 7.242E-05 | global batch size: 256 | lm loss: 3.007756E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.263 | TFLOPs: 28.37 | 7: iteration 13820/ 21553 | consumed samples: 3537920 | consumed tokens: 7245660160 | elapsed time per iteration (s): 0.30 | learning rate: 7.230E-05 | global batch size: 256 | lm loss: 2.998997E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.320 | TFLOPs: 29.66 | 7: iteration 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second: 833.764 | TFLOPs: 29.19 | 7: iteration 13860/ 21553 | consumed samples: 3548160 | consumed tokens: 7266631680 | elapsed time per iteration (s): 0.31 | learning rate: 7.182E-05 | global batch size: 256 | lm loss: 3.001694E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.703 | TFLOPs: 29.33 | 7: iteration 13870/ 21553 | consumed samples: 3550720 | consumed tokens: 7271874560 | elapsed time per iteration (s): 0.31 | learning rate: 7.170E-05 | global batch size: 256 | lm loss: 2.994279E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.910 | TFLOPs: 29.23 | 7: iteration 13880/ 21553 | consumed samples: 3553280 | consumed tokens: 7277117440 | elapsed time per iteration (s): 0.31 | learning rate: 7.158E-05 | global batch size: 256 | lm loss: 2.982671E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | 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7.050E-05 | global batch size: 256 | lm loss: 3.015377E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.153 | TFLOPs: 29.10 | 7: iteration 13980/ 21553 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.30 | learning rate: 7.038E-05 | global batch size: 256 | lm loss: 3.016470E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.792 | TFLOPs: 29.61 | 7: iteration 13990/ 21553 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.32 | learning rate: 7.027E-05 | global batch size: 256 | lm loss: 2.994829E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.144 | TFLOPs: 28.33 | 0: [2022-11-29 18:20:31,647] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[7.014654688611906e-05, 7.014654688611906e-05, 7.014654688611906e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 14000/ 21553 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.30 | learning rate: 7.015E-05 | global batch size: 256 | lm loss: 2.971956E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.287 | TFLOPs: 29.42 | 0: steps: 14000 loss: 3.0100 iter time (s): 0.312 samples/sec: 821.298 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 14000 | lm loss value: 2.998721E+00 | lm loss PPL: 2.005986E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 14000 to checkpoints_146moscareap 0: [2022-11-29 18:20:31,831] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step14000 is 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bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 18:20:32,655] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 18:20:32,655] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-29 18:20:32,655] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 18:20:32,655] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 18:20:32,655] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is 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[2022-11-29 18:20:32,655] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 5: [2022-11-29 18:20:32,655] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-29 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checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 3: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step14000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 1: [2022-11-29 18:20:32,656] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step14000 is ready now! 0: successfully saved checkpoint at iteration 14000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 870.03 7: iteration 14010/ 21553 | consumed samples: 3586560 | consumed tokens: 7345274880 | elapsed time per iteration (s): 0.41 | learning rate: 7.003E-05 | global batch size: 256 | lm loss: 3.022050E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 627.430 | TFLOPs: 21.96 | 7: iteration 14020/ 21553 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 0.31 | learning rate: 6.991E-05 | global batch size: 256 | lm loss: 2.968876E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.367 | TFLOPs: 28.72 | 7: iteration 14030/ 21553 | consumed samples: 3591680 | consumed tokens: 7355760640 | elapsed time per iteration (s): 0.31 | learning rate: 6.979E-05 | global batch size: 256 | lm loss: 2.990575E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.783 | TFLOPs: 29.19 | 7: iteration 14040/ 21553 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 0.31 | learning rate: 6.967E-05 | global batch size: 256 | lm loss: 2.980007E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.882 | TFLOPs: 28.84 | 7: iteration 14050/ 21553 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.31 | learning rate: 6.955E-05 | global batch size: 256 | lm loss: 2.997806E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.592 | TFLOPs: 28.76 | 7: iteration 14060/ 21553 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.31 | learning rate: 6.944E-05 | global batch size: 256 | lm loss: 3.003987E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.491 | TFLOPs: 28.65 | 7: iteration 14070/ 21553 | consumed samples: 3601920 | consumed tokens: 7376732160 | elapsed time per iteration (s): 0.30 | learning rate: 6.932E-05 | global batch size: 256 | lm loss: 2.986656E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.682 | TFLOPs: 29.68 | 7: iteration 14080/ 21553 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 0.33 | learning rate: 6.920E-05 | global batch size: 256 | lm loss: 3.007317E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 778.541 | TFLOPs: 27.25 | 7: iteration 14090/ 21553 | consumed samples: 3607040 | consumed tokens: 7387217920 | elapsed time per iteration (s): 0.31 | learning rate: 6.908E-05 | global batch size: 256 | lm loss: 3.007385E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.975 | TFLOPs: 28.81 | 7: iteration 14100/ 21553 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.31 | learning rate: 6.896E-05 | global batch size: 256 | lm loss: 2.979904E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.160 | TFLOPs: 28.47 | 7: iteration 14110/ 21553 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.35 | learning rate: 6.884E-05 | global batch size: 256 | lm loss: 3.000867E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 729.490 | TFLOPs: 25.54 | 7: iteration 14120/ 21553 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.32 | learning rate: 6.873E-05 | global batch size: 256 | lm loss: 3.009812E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.230 | TFLOPs: 28.33 | 7: iteration 14130/ 21553 | consumed samples: 3617280 | consumed tokens: 7408189440 | elapsed time per iteration (s): 0.40 | learning rate: 6.861E-05 | global batch size: 256 | lm loss: 3.006301E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 634.232 | TFLOPs: 22.20 | 7: iteration 14140/ 21553 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 0.32 | learning rate: 6.849E-05 | global batch size: 256 | lm loss: 2.964132E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 794.989 | TFLOPs: 27.83 | 7: iteration 14150/ 21553 | consumed samples: 3622400 | consumed tokens: 7418675200 | elapsed time per iteration (s): 0.31 | learning rate: 6.837E-05 | global batch size: 256 | lm loss: 2.967934E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.778 | TFLOPs: 28.49 | 7: iteration 14160/ 21553 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 0.31 | learning rate: 6.826E-05 | global batch size: 256 | lm loss: 3.014783E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.455 | TFLOPs: 28.55 | 7: iteration 14170/ 21553 | consumed samples: 3627520 | consumed tokens: 7429160960 | elapsed time per iteration (s): 0.31 | learning rate: 6.814E-05 | global batch size: 256 | lm loss: 2.982357E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.616 | TFLOPs: 29.04 | 7: iteration 14180/ 21553 | consumed samples: 3630080 | consumed tokens: 7434403840 | elapsed time per iteration (s): 0.31 | learning rate: 6.802E-05 | global batch size: 256 | lm loss: 3.003259E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.102 | TFLOPs: 29.20 | 7: iteration 14190/ 21553 | consumed samples: 3632640 | consumed tokens: 7439646720 | elapsed time per iteration (s): 0.30 | learning rate: 6.791E-05 | global batch size: 256 | lm loss: 3.001535E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.797 | TFLOPs: 29.43 | 7: iteration 14200/ 21553 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 0.31 | learning rate: 6.779E-05 | global batch size: 256 | lm loss: 3.007949E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.633 | TFLOPs: 28.83 | 7: iteration 14210/ 21553 | consumed samples: 3637760 | consumed tokens: 7450132480 | elapsed time per iteration (s): 0.30 | learning rate: 6.767E-05 | global batch size: 256 | lm loss: 2.979024E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.731 | TFLOPs: 29.64 | 7: iteration 14220/ 21553 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 0.41 | learning rate: 6.755E-05 | global batch size: 256 | lm loss: 2.980665E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 628.331 | TFLOPs: 22.00 | 7: iteration 14230/ 21553 | consumed samples: 3642880 | consumed tokens: 7460618240 | elapsed time per iteration (s): 0.31 | learning rate: 6.744E-05 | global batch size: 256 | lm loss: 3.004998E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.188 | TFLOPs: 29.38 | 7: iteration 14240/ 21553 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 0.31 | learning rate: 6.732E-05 | global batch size: 256 | lm loss: 2.984379E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.418 | TFLOPs: 28.58 | 7: iteration 14250/ 21553 | consumed samples: 3648000 | consumed tokens: 7471104000 | elapsed time per iteration (s): 0.30 | learning rate: 6.720E-05 | global batch size: 256 | lm loss: 2.991627E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.351 | TFLOPs: 29.38 | 7: iteration 14260/ 21553 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 0.31 | learning rate: 6.709E-05 | global batch size: 256 | lm loss: 2.991449E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.923 | TFLOPs: 28.77 | 7: iteration 14270/ 21553 | consumed samples: 3653120 | consumed tokens: 7481589760 | elapsed time per iteration (s): 0.77 | learning rate: 6.697E-05 | global batch size: 256 | lm loss: 2.999998E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.554 | TFLOPs: 11.57 | 7: iteration 14280/ 21553 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 0.38 | learning rate: 6.685E-05 | global batch size: 256 | lm loss: 3.010887E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 668.890 | TFLOPs: 23.42 | 7: iteration 14290/ 21553 | consumed samples: 3658240 | consumed tokens: 7492075520 | elapsed time per iteration (s): 0.32 | learning rate: 6.674E-05 | global batch size: 256 | lm loss: 2.999083E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.066 | TFLOPs: 27.73 | 7: iteration 14300/ 21553 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 0.31 | learning rate: 6.662E-05 | global batch size: 256 | lm loss: 2.997160E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.693 | TFLOPs: 28.94 | 7: iteration 14310/ 21553 | consumed samples: 3663360 | consumed tokens: 7502561280 | elapsed time per iteration (s): 0.32 | learning rate: 6.651E-05 | global batch size: 256 | lm loss: 2.954988E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.380 | TFLOPs: 28.30 | 7: iteration 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second: 819.193 | TFLOPs: 28.68 | 7: iteration 14350/ 21553 | consumed samples: 3673600 | consumed tokens: 7523532800 | elapsed time per iteration (s): 0.31 | learning rate: 6.604E-05 | global batch size: 256 | lm loss: 3.013472E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.168 | TFLOPs: 28.71 | 7: iteration 14360/ 21553 | consumed samples: 3676160 | consumed tokens: 7528775680 | elapsed time per iteration (s): 0.31 | learning rate: 6.593E-05 | global batch size: 256 | lm loss: 2.999213E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.615 | TFLOPs: 28.76 | 7: iteration 14370/ 21553 | consumed samples: 3678720 | consumed tokens: 7534018560 | elapsed time per iteration (s): 0.32 | learning rate: 6.581E-05 | global batch size: 256 | lm loss: 2.984146E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 796.497 | TFLOPs: 27.88 | 7: iteration 14380/ 21553 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 0.32 | learning rate: 6.570E-05 | global batch size: 256 | lm loss: 2.985140E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.047 | TFLOPs: 28.43 | 7: iteration 14390/ 21553 | consumed samples: 3683840 | consumed tokens: 7544504320 | elapsed time per iteration (s): 0.31 | learning rate: 6.558E-05 | global batch size: 256 | lm loss: 3.003012E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.639 | TFLOPs: 28.73 | 7: iteration 14400/ 21553 | consumed samples: 3686400 | consumed tokens: 7549747200 | elapsed time per iteration (s): 0.32 | learning rate: 6.547E-05 | global batch size: 256 | lm loss: 3.007957E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 789.916 | TFLOPs: 27.65 | 7: iteration 14410/ 21553 | consumed samples: 3688960 | consumed tokens: 7554990080 | elapsed time per iteration (s): 0.32 | learning rate: 6.535E-05 | global batch size: 256 | lm loss: 3.009773E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.885 | TFLOPs: 28.35 | 7: iteration 14420/ 21553 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 0.32 | learning rate: 6.524E-05 | global batch size: 256 | lm loss: 2.966387E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.566 | TFLOPs: 27.85 | 7: iteration 14430/ 21553 | consumed samples: 3694080 | consumed tokens: 7565475840 | elapsed time per iteration (s): 0.32 | learning rate: 6.512E-05 | global batch size: 256 | lm loss: 2.993391E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 802.774 | TFLOPs: 28.10 | 7: iteration 14440/ 21553 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 0.31 | learning rate: 6.501E-05 | global batch size: 256 | lm loss: 2.986397E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.537 | TFLOPs: 28.86 | 7: iteration 14450/ 21553 | consumed samples: 3699200 | consumed tokens: 7575961600 | elapsed time per iteration (s): 0.32 | learning rate: 6.489E-05 | global batch size: 256 | lm loss: 3.003704E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.901 | TFLOPs: 28.39 | 7: iteration 14460/ 21553 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 0.31 | learning rate: 6.478E-05 | global batch size: 256 | lm loss: 3.002273E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.483 | TFLOPs: 28.83 | 7: iteration 14470/ 21553 | consumed samples: 3704320 | consumed tokens: 7586447360 | elapsed time per iteration (s): 0.31 | learning rate: 6.466E-05 | global batch size: 256 | lm loss: 3.006079E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.193 | TFLOPs: 28.61 | 7: iteration 14480/ 21553 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 0.31 | learning rate: 6.455E-05 | global batch size: 256 | lm loss: 2.988760E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.739 | TFLOPs: 29.12 | 7: iteration 14490/ 21553 | consumed samples: 3709440 | consumed tokens: 7596933120 | elapsed time 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------------------------------------------------------------------------------------------- 7: valid loss at iteration 15000 | lm loss value: 2.923536E+00 | lm loss PPL: 1.860697E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 15000 to checkpoints_146moscareap 0: [2022-11-29 18:25:53,881] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step15000 is begin to save! 0: [2022-11-29 18:25:53,890] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step15000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:25:53,977] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step15000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:25:53,977] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step15000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:25:53,995] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-29 18:25:54,290] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 1: [2022-11-29 18:25:54,290] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:25:54,291] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:25:54,291] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-29 18:25:54,291] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 7: [2022-11-29 18:25:54,291] [INFO] 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checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:25:54,309] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 18:25:54,309] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 4: [2022-11-29 18:25:54,309] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:25:54,310] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-29 18:25:54,310] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 6: [2022-11-29 18:25:54,310] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:25:54,346] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step15000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-29 18:25:54,346] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step15000 is ready now! 0: successfully saved checkpoint at iteration 15000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 471.22 7: iteration 15010/ 21553 | consumed samples: 3842560 | consumed tokens: 7869562880 | elapsed time per iteration (s): 0.38 | learning rate: 5.863E-05 | global batch size: 256 | lm loss: 2.970377E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 681.133 | TFLOPs: 23.84 | 7: iteration 15020/ 21553 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 0.31 | learning rate: 5.852E-05 | global batch size: 256 | lm loss: 2.966776E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.046 | TFLOPs: 28.50 | 7: iteration 15030/ 21553 | consumed samples: 3847680 | consumed tokens: 7880048640 | elapsed time per iteration (s): 0.31 | learning rate: 5.841E-05 | global batch size: 256 | lm loss: 3.024497E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.321 | TFLOPs: 29.00 | 7: iteration 15040/ 21553 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 0.31 | learning rate: 5.830E-05 | global batch size: 256 | lm loss: 2.985422E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.813 | TFLOPs: 28.63 | 7: iteration 15050/ 21553 | consumed samples: 3852800 | consumed tokens: 7890534400 | elapsed time per iteration (s): 0.31 | learning rate: 5.820E-05 | global batch size: 256 | lm loss: 2.994701E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.223 | TFLOPs: 28.92 | 7: iteration 15060/ 21553 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 0.31 | learning rate: 5.809E-05 | global batch size: 256 | lm loss: 3.008389E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.321 | TFLOPs: 28.58 | 7: iteration 15070/ 21553 | consumed samples: 3857920 | consumed tokens: 7901020160 | elapsed time per iteration (s): 0.32 | learning rate: 5.798E-05 | global batch size: 256 | lm loss: 2.993576E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.653 | TFLOPs: 27.68 | 7: iteration 15080/ 21553 | consumed 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| samples per second: 838.993 | TFLOPs: 29.37 | 7: iteration 15140/ 21553 | consumed samples: 3875840 | consumed tokens: 7937720320 | elapsed time per iteration (s): 0.31 | learning rate: 5.723E-05 | global batch size: 256 | lm loss: 2.959741E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.368 | TFLOPs: 28.93 | 7: iteration 15150/ 21553 | consumed samples: 3878400 | consumed tokens: 7942963200 | elapsed time per iteration (s): 0.31 | learning rate: 5.712E-05 | global batch size: 256 | lm loss: 2.991278E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.922 | TFLOPs: 28.88 | 7: iteration 15160/ 21553 | consumed samples: 3880960 | consumed tokens: 7948206080 | elapsed time per iteration (s): 0.31 | learning rate: 5.701E-05 | global batch size: 256 | lm loss: 2.967437E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.001 | TFLOPs: 29.16 | 7: iteration 15170/ 21553 | consumed samples: 3883520 | consumed tokens: 7953448960 | elapsed time per iteration (s): 0.31 | learning rate: 5.690E-05 | global batch size: 256 | lm loss: 2.953775E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.845 | TFLOPs: 28.56 | 7: iteration 15180/ 21553 | consumed samples: 3886080 | consumed tokens: 7958691840 | elapsed time per iteration (s): 0.31 | learning rate: 5.680E-05 | global batch size: 256 | lm loss: 2.988412E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.251 | TFLOPs: 28.85 | 7: iteration 15190/ 21553 | consumed samples: 3888640 | consumed tokens: 7963934720 | elapsed time per iteration (s): 0.31 | learning rate: 5.669E-05 | global batch size: 256 | lm loss: 2.995893E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.137 | TFLOPs: 28.85 | 7: iteration 15200/ 21553 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 0.31 | learning rate: 5.658E-05 | global batch size: 256 | lm loss: 2.983950E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.762 | TFLOPs: 28.94 | 7: iteration 15210/ 21553 | consumed samples: 3893760 | consumed tokens: 7974420480 | elapsed time per iteration (s): 0.31 | learning rate: 5.648E-05 | global batch size: 256 | lm loss: 2.965488E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.218 | TFLOPs: 29.03 | 7: iteration 15220/ 21553 | consumed samples: 3896320 | consumed tokens: 7979663360 | elapsed time per iteration (s): 0.33 | learning rate: 5.637E-05 | global batch size: 256 | lm loss: 2.971768E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 775.882 | TFLOPs: 27.16 | 7: iteration 15230/ 21553 | consumed samples: 3898880 | consumed tokens: 7984906240 | elapsed time per iteration (s): 0.31 | learning rate: 5.626E-05 | global batch size: 256 | lm loss: 2.968096E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.421 | TFLOPs: 29.14 | 7: iteration 15240/ 21553 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 0.31 | learning rate: 5.616E-05 | global batch size: 256 | lm loss: 2.985922E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.418 | TFLOPs: 29.35 | 7: iteration 15250/ 21553 | consumed samples: 3904000 | consumed tokens: 7995392000 | elapsed time per iteration (s): 0.32 | 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256 | lm loss: 2.973133E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.471 | TFLOPs: 29.07 | 7: iteration 15460/ 21553 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 0.31 | learning rate: 5.385E-05 | global batch size: 256 | lm loss: 2.986510E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.441 | TFLOPs: 28.79 | 7: iteration 15470/ 21553 | consumed samples: 3960320 | consumed tokens: 8110735360 | elapsed time per iteration (s): 0.31 | learning rate: 5.375E-05 | global batch size: 256 | lm loss: 2.957860E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.650 | TFLOPs: 28.90 | 7: iteration 15480/ 21553 | consumed samples: 3962880 | consumed tokens: 8115978240 | elapsed time per iteration (s): 0.32 | learning rate: 5.364E-05 | global batch size: 256 | lm loss: 2.967616E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.690 | TFLOPs: 28.45 | 7: iteration 15490/ 21553 | consumed samples: 3965440 | consumed tokens: 8121221120 | elapsed time per iteration (s): 0.31 | learning rate: 5.354E-05 | global batch size: 256 | lm loss: 2.982662E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.163 | TFLOPs: 28.92 | 7: iteration 15500/ 21553 | consumed samples: 3968000 | consumed tokens: 8126464000 | elapsed time per iteration (s): 0.31 | learning rate: 5.344E-05 | global batch size: 256 | lm loss: 2.980338E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.669 | TFLOPs: 28.94 | 7: iteration 15510/ 21553 | consumed samples: 3970560 | consumed tokens: 8131706880 | elapsed time per iteration (s): 0.32 | learning rate: 5.333E-05 | global batch size: 256 | lm loss: 2.998348E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.705 | TFLOPs: 28.21 | 7: iteration 15520/ 21553 | consumed samples: 3973120 | consumed tokens: 8136949760 | elapsed time per iteration (s): 0.31 | learning rate: 5.323E-05 | global batch size: 256 | lm loss: 2.969151E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.445 | TFLOPs: 29.18 | 7: iteration 15530/ 21553 | consumed samples: 3975680 | consumed tokens: 8142192640 | elapsed time per iteration (s): 0.30 | learning rate: 5.313E-05 | global batch size: 256 | lm loss: 2.982989E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.473 | TFLOPs: 29.42 | 7: iteration 15540/ 21553 | consumed 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| samples per second: 824.716 | TFLOPs: 28.87 | 7: iteration 15600/ 21553 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 0.31 | learning rate: 5.241E-05 | global batch size: 256 | lm loss: 2.957220E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.754 | TFLOPs: 28.80 | 7: iteration 15610/ 21553 | consumed samples: 3996160 | consumed tokens: 8184135680 | elapsed time per iteration (s): 0.31 | learning rate: 5.231E-05 | global batch size: 256 | lm loss: 2.965801E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.101 | TFLOPs: 28.85 | 7: iteration 15620/ 21553 | consumed samples: 3998720 | consumed tokens: 8189378560 | elapsed time per iteration (s): 0.32 | learning rate: 5.221E-05 | global batch size: 256 | lm loss: 2.991184E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped 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0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.496 | TFLOPs: 29.32 | 7: iteration 15660/ 21553 | consumed samples: 4008960 | consumed tokens: 8210350080 | elapsed time per iteration (s): 0.31 | learning rate: 5.180E-05 | global batch size: 256 | lm loss: 2.973338E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.406 | TFLOPs: 29.35 | 7: iteration 15670/ 21553 | consumed samples: 4011520 | consumed tokens: 8215592960 | elapsed time per iteration (s): 0.31 | learning rate: 5.170E-05 | global batch size: 256 | lm loss: 2.980069E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.277 | TFLOPs: 28.61 | 7: iteration 15680/ 21553 | consumed samples: 4014080 | consumed tokens: 8220835840 | elapsed time per iteration (s): 0.30 | learning rate: 5.160E-05 | global batch size: 256 | lm loss: 2.975131E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.180 | TFLOPs: 29.45 | 7: iteration 15690/ 21553 | consumed samples: 4016640 | consumed tokens: 8226078720 | elapsed time per iteration (s): 0.31 | learning rate: 5.150E-05 | global batch size: 256 | lm loss: 2.981048E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.372 | TFLOPs: 29.28 | 7: iteration 15700/ 21553 | consumed samples: 4019200 | consumed tokens: 8231321600 | elapsed time per iteration (s): 0.31 | learning rate: 5.140E-05 | global batch size: 256 | lm loss: 2.980330E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.777 | TFLOPs: 28.91 | 7: iteration 15710/ 21553 | consumed samples: 4021760 | consumed tokens: 8236564480 | elapsed time per iteration (s): 0.31 | learning rate: 5.130E-05 | global batch size: 256 | lm loss: 2.982991E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.312 | TFLOPs: 28.79 | 7: iteration 15720/ 21553 | consumed samples: 4024320 | consumed tokens: 8241807360 | elapsed time per iteration (s): 0.31 | learning rate: 5.120E-05 | global batch size: 256 | lm loss: 2.974771E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.436 | TFLOPs: 29.35 | 7: iteration 15730/ 21553 | consumed samples: 4026880 | consumed tokens: 8247050240 | elapsed time per iteration (s): 0.31 | learning rate: 5.110E-05 | global batch size: 256 | lm loss: 2.994353E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.684 | TFLOPs: 28.69 | 7: iteration 15740/ 21553 | consumed samples: 4029440 | consumed tokens: 8252293120 | elapsed time per iteration (s): 0.32 | learning rate: 5.100E-05 | global batch size: 256 | lm loss: 3.016994E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 799.241 | TFLOPs: 27.98 | 7: iteration 15750/ 21553 | consumed samples: 4032000 | consumed tokens: 8257536000 | elapsed time per iteration (s): 0.31 | learning rate: 5.090E-05 | global batch size: 256 | lm loss: 2.998488E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.057 | TFLOPs: 29.09 | 7: iteration 15760/ 21553 | consumed samples: 4034560 | consumed tokens: 8262778880 | elapsed time per iteration (s): 0.31 | learning rate: 5.080E-05 | global batch size: 256 | lm loss: 2.991047E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.972 | TFLOPs: 29.09 | 7: iteration 15770/ 21553 | consumed 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29.10 | 7: iteration 15800/ 21553 | consumed samples: 4044800 | consumed tokens: 8283750400 | elapsed time per iteration (s): 0.31 | learning rate: 5.040E-05 | global batch size: 256 | lm loss: 2.975281E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.072 | TFLOPs: 29.02 | 7: iteration 15810/ 21553 | consumed samples: 4047360 | consumed tokens: 8288993280 | elapsed time per iteration (s): 0.31 | learning rate: 5.030E-05 | global batch size: 256 | lm loss: 2.959710E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.892 | TFLOPs: 29.09 | 7: iteration 15820/ 21553 | consumed samples: 4049920 | consumed tokens: 8294236160 | elapsed time per iteration (s): 0.31 | learning rate: 5.020E-05 | global batch size: 256 | lm loss: 2.973975E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.311 | TFLOPs: 28.51 | 7: iteration 15830/ 21553 | consumed samples: 4052480 | consumed tokens: 8299479040 | elapsed time per iteration (s): 0.31 | learning rate: 5.010E-05 | global batch size: 256 | lm loss: 2.991375E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.936 | TFLOPs: 29.09 | 7: iteration 15840/ 21553 | consumed samples: 4055040 | consumed tokens: 8304721920 | elapsed time per iteration (s): 0.31 | learning rate: 5.001E-05 | global batch size: 256 | lm loss: 2.983224E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.847 | TFLOPs: 29.12 | 7: iteration 15850/ 21553 | consumed samples: 4057600 | consumed tokens: 8309964800 | elapsed time per iteration (s): 0.31 | learning rate: 4.991E-05 | global batch size: 256 | lm loss: 2.978677E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.067 | TFLOPs: 28.78 | 7: iteration 15860/ 21553 | consumed samples: 4060160 | consumed tokens: 8315207680 | elapsed time per iteration (s): 0.31 | learning rate: 4.981E-05 | global batch size: 256 | lm loss: 2.983926E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.487 | TFLOPs: 28.86 | 7: iteration 15870/ 21553 | consumed samples: 4062720 | consumed tokens: 8320450560 | elapsed time per iteration (s): 0.31 | learning rate: 4.971E-05 | global batch size: 256 | lm loss: 2.966937E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.389 | TFLOPs: 28.93 | 7: iteration 15880/ 21553 | consumed samples: 4065280 | consumed tokens: 8325693440 | elapsed time per iteration (s): 0.31 | learning rate: 4.961E-05 | global batch size: 256 | lm loss: 3.009224E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.083 | TFLOPs: 29.16 | 7: iteration 15890/ 21553 | consumed samples: 4067840 | consumed tokens: 8330936320 | elapsed time per iteration (s): 0.31 | learning rate: 4.951E-05 | global batch size: 256 | lm loss: 2.996914E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.321 | TFLOPs: 28.89 | 7: iteration 15900/ 21553 | consumed samples: 4070400 | consumed tokens: 8336179200 | elapsed time per iteration (s): 0.32 | learning rate: 4.942E-05 | global batch size: 256 | lm loss: 2.978345E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.625 | TFLOPs: 28.20 | 7: iteration 15910/ 21553 | consumed samples: 4072960 | consumed tokens: 8341422080 | elapsed time per iteration (s): 0.31 | learning rate: 4.932E-05 | global batch size: 256 | lm loss: 2.991869E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.213 | TFLOPs: 28.85 | 7: iteration 15920/ 21553 | consumed samples: 4075520 | consumed tokens: 8346664960 | elapsed time per iteration (s): 0.31 | learning rate: 4.922E-05 | global batch size: 256 | lm loss: 2.992873E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.911 | TFLOPs: 28.46 | 7: iteration 15930/ 21553 | consumed samples: 4078080 | consumed tokens: 8351907840 | elapsed time per iteration (s): 0.30 | learning rate: 4.912E-05 | global batch size: 256 | lm loss: 2.958338E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.590 | TFLOPs: 29.53 | 7: iteration 15940/ 21553 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 0.31 | learning rate: 4.902E-05 | global batch size: 256 | lm loss: 3.014719E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.811 | TFLOPs: 29.22 | 7: iteration 15950/ 21553 | consumed samples: 4083200 | consumed tokens: 8362393600 | elapsed time per iteration (s): 0.31 | learning rate: 4.893E-05 | global batch size: 256 | lm loss: 2.965657E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.595 | TFLOPs: 29.32 | 7: iteration 15960/ 21553 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 0.31 | learning rate: 4.883E-05 | global batch size: 256 | lm loss: 2.992655E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.843 | TFLOPs: 29.30 | 7: iteration 15970/ 21553 | consumed samples: 4088320 | consumed tokens: 8372879360 | elapsed time per iteration (s): 0.30 | learning rate: 4.873E-05 | global batch size: 256 | lm loss: 2.982212E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.194 | TFLOPs: 29.41 | 7: iteration 15980/ 21553 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 0.30 | learning rate: 4.864E-05 | global batch size: 256 | lm loss: 2.942903E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.428 | TFLOPs: 29.56 | 7: iteration 15990/ 21553 | consumed samples: 4093440 | consumed tokens: 8383365120 | elapsed time per iteration (s): 0.31 | learning rate: 4.854E-05 | global batch size: 256 | lm loss: 2.943768E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.951 | TFLOPs: 29.09 | 0: [2022-11-29 18:31:04,942] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[4.8441849544340955e-05, 4.8441849544340955e-05, 4.8441849544340955e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: steps: 16000 loss: 2.9684 iter time (s): 0.314 samples/sec: 814.227 7: iteration 16000/ 21553 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 0.31 | learning rate: 4.844E-05 | global batch size: 256 | lm loss: 3.004676E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.083 | TFLOPs: 28.88 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 16000 | lm loss value: 2.888182E+00 | lm loss PPL: 1.796062E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 16000 to checkpoints_146moscareap 0: [2022-11-29 18:31:05,068] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step16000 is begin to save! 0: [2022-11-29 18:31:05,073] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step16000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:31:05,161] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:31:05,162] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step16000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:31:05,178] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:31:05,178] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step16000/layer_04-model_00-model_states.pt... 0: [2022-11-29 18:31:05,193] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] 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checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,457] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-29 18:31:05,457] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:31:05,458] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,458] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-29 18:31:05,458] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:31:05,458] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,458] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-29 18:31:05,464] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:31:05,464] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,465] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 6: [2022-11-29 18:31:05,465] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:31:05,465] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:31:05,465] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 2: [2022-11-29 18:31:05,465] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 6: [2022-11-29 18:31:05,465] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 2: [2022-11-29 18:31:05,465] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-29 18:31:05,465] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:31:05,465] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-29 18:31:05,466] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:31:05,466] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:31:05,466] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:31:05,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,466] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 18:31:05,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-29 18:31:05,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 7: [2022-11-29 18:31:05,466] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 0: [2022-11-29 18:31:05,480] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step16000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:31:05,480] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step16000 is ready now! 0: successfully saved checkpoint at iteration 16000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 416.04 7: iteration 16010/ 21553 | consumed samples: 4098560 | consumed tokens: 8393850880 | elapsed time per iteration (s): 0.36 | learning rate: 4.835E-05 | global batch size: 256 | lm loss: 2.991094E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 709.342 | TFLOPs: 24.83 | 7: iteration 16020/ 21553 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 0.31 | learning rate: 4.825E-05 | global batch size: 256 | lm loss: 2.960332E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.755 | TFLOPs: 28.98 | 7: iteration 16030/ 21553 | consumed samples: 4103680 | consumed tokens: 8404336640 | elapsed time per iteration (s): 0.31 | learning rate: 4.815E-05 | global batch size: 256 | lm loss: 2.960904E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.313 | TFLOPs: 28.96 | 7: iteration 16040/ 21553 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 0.31 | learning rate: 4.806E-05 | global batch size: 256 | lm loss: 2.953518E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.506 | TFLOPs: 29.21 | 7: iteration 16050/ 21553 | consumed samples: 4108800 | consumed tokens: 8414822400 | elapsed time per iteration (s): 0.31 | learning rate: 4.796E-05 | global batch size: 256 | lm loss: 2.964510E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.856 | TFLOPs: 28.95 | 7: iteration 16060/ 21553 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 0.31 | learning rate: 4.786E-05 | global batch size: 256 | lm loss: 2.959855E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.822 | TFLOPs: 28.84 | 7: iteration 16070/ 21553 | consumed samples: 4113920 | consumed tokens: 8425308160 | elapsed time per iteration (s): 0.31 | learning rate: 4.777E-05 | global batch size: 256 | lm loss: 2.990106E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.124 | TFLOPs: 28.89 | 7: iteration 16080/ 21553 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 0.31 | learning rate: 4.767E-05 | global batch size: 256 | lm loss: 2.989678E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.204 | TFLOPs: 28.96 | 7: iteration 16090/ 21553 | consumed samples: 4119040 | consumed tokens: 8435793920 | elapsed time per iteration (s): 0.31 | learning rate: 4.758E-05 | global batch size: 256 | lm loss: 2.950781E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.903 | TFLOPs: 29.16 | 7: iteration 16100/ 21553 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 0.31 | learning rate: 4.748E-05 | global batch size: 256 | lm loss: 2.957168E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.304 | TFLOPs: 28.82 | 7: iteration 16110/ 21553 | consumed samples: 4124160 | consumed tokens: 8446279680 | elapsed time per iteration (s): 0.31 | learning rate: 4.739E-05 | global batch size: 256 | lm loss: 2.961375E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.518 | TFLOPs: 28.69 | 7: iteration 16120/ 21553 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 0.31 | learning rate: 4.729E-05 | global batch size: 256 | lm loss: 2.996698E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.436 | TFLOPs: 28.93 | 7: iteration 16130/ 21553 | consumed samples: 4129280 | consumed tokens: 8456765440 | elapsed time per iteration (s): 0.31 | learning rate: 4.720E-05 | global batch size: 256 | lm loss: 2.969635E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.834 | TFLOPs: 29.26 | 7: iteration 16140/ 21553 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 0.31 | learning rate: 4.710E-05 | global batch size: 256 | lm loss: 2.976209E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.009 | TFLOPs: 28.85 | 7: iteration 16150/ 21553 | consumed samples: 4134400 | consumed tokens: 8467251200 | elapsed time per iteration (s): 0.31 | learning rate: 4.701E-05 | global batch size: 256 | lm loss: 2.958060E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.690 | TFLOPs: 28.94 | 7: iteration 16160/ 21553 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 0.32 | learning rate: 4.691E-05 | global batch size: 256 | lm loss: 2.958263E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.078 | TFLOPs: 27.83 | 7: iteration 16170/ 21553 | consumed samples: 4139520 | consumed tokens: 8477736960 | elapsed time per iteration (s): 0.31 | learning rate: 4.682E-05 | global batch size: 256 | lm loss: 2.967300E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.026 | TFLOPs: 28.71 | 7: iteration 16180/ 21553 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 0.33 | learning rate: 4.672E-05 | global batch size: 256 | lm loss: 2.949414E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 769.341 | TFLOPs: 26.93 | 7: iteration 16190/ 21553 | consumed samples: 4144640 | consumed tokens: 8488222720 | elapsed time per iteration (s): 0.31 | learning rate: 4.663E-05 | global batch size: 256 | lm loss: 2.938600E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.691 | TFLOPs: 28.84 | 7: iteration 16200/ 21553 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 0.31 | learning rate: 4.654E-05 | global batch size: 256 | lm loss: 2.981229E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.847 | TFLOPs: 28.70 | 7: iteration 16210/ 21553 | consumed samples: 4149760 | consumed tokens: 8498708480 | elapsed time per iteration (s): 0.31 | learning rate: 4.644E-05 | global batch size: 256 | lm loss: 3.001735E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.034 | TFLOPs: 28.99 | 7: iteration 16220/ 21553 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 0.32 | learning rate: 4.635E-05 | global batch size: 256 | lm loss: 2.994932E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 787.943 | TFLOPs: 27.58 | 7: iteration 16230/ 21553 | consumed samples: 4154880 | consumed tokens: 8509194240 | elapsed time per iteration (s): 0.31 | learning rate: 4.625E-05 | global batch size: 256 | lm loss: 2.979129E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.835 | TFLOPs: 28.74 | 7: iteration 16240/ 21553 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 0.31 | learning rate: 4.616E-05 | global batch size: 256 | lm loss: 2.979344E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.217 | TFLOPs: 29.24 | 7: iteration 16250/ 21553 | consumed samples: 4160000 | consumed tokens: 8519680000 | elapsed time per iteration (s): 0.31 | learning rate: 4.607E-05 | global batch size: 256 | lm loss: 2.967824E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.897 | TFLOPs: 29.09 | 7: iteration 16260/ 21553 | consumed samples: 4162560 | consumed tokens: 8524922880 | elapsed time per iteration (s): 0.30 | learning rate: 4.597E-05 | global batch size: 256 | lm loss: 2.982722E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.968 | TFLOPs: 29.61 | 7: iteration 16270/ 21553 | consumed samples: 4165120 | consumed tokens: 8530165760 | elapsed time per iteration (s): 0.31 | learning rate: 4.588E-05 | global batch size: 256 | lm loss: 2.961861E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.641 | TFLOPs: 28.73 | 7: iteration 16280/ 21553 | consumed samples: 4167680 | consumed tokens: 8535408640 | elapsed time per iteration (s): 0.31 | learning rate: 4.579E-05 | global batch size: 256 | lm loss: 2.962395E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.846 | TFLOPs: 28.91 | 7: iteration 16290/ 21553 | consumed samples: 4170240 | consumed tokens: 8540651520 | elapsed time per iteration (s): 0.30 | learning rate: 4.570E-05 | global batch size: 256 | lm loss: 2.986057E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.883 | TFLOPs: 29.61 | 7: iteration 16300/ 21553 | consumed samples: 4172800 | consumed tokens: 8545894400 | elapsed time per iteration (s): 0.30 | learning rate: 4.560E-05 | global batch size: 256 | lm loss: 2.984417E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.421 | TFLOPs: 29.42 | 7: iteration 16310/ 21553 | consumed samples: 4175360 | consumed tokens: 8551137280 | elapsed time per iteration (s): 0.31 | learning rate: 4.551E-05 | global batch size: 256 | lm loss: 2.950886E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.905 | TFLOPs: 29.16 | 7: iteration 16320/ 21553 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 0.31 | learning rate: 4.542E-05 | global batch size: 256 | lm loss: 2.969156E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.489 | TFLOPs: 28.55 | 7: iteration 16330/ 21553 | consumed samples: 4180480 | consumed tokens: 8561623040 | elapsed time per iteration (s): 0.31 | learning rate: 4.533E-05 | global batch size: 256 | lm loss: 2.943512E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.220 | TFLOPs: 28.99 | 7: iteration 16340/ 21553 | consumed samples: 4183040 | consumed tokens: 8566865920 | elapsed time per iteration (s): 0.31 | learning rate: 4.523E-05 | global batch size: 256 | lm loss: 2.970178E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.073 | TFLOPs: 28.81 | 7: iteration 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second: 778.246 | TFLOPs: 27.24 | 7: iteration 16380/ 21553 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 0.32 | learning rate: 4.487E-05 | global batch size: 256 | lm loss: 2.968900E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 791.330 | TFLOPs: 27.70 | 7: iteration 16390/ 21553 | consumed samples: 4195840 | consumed tokens: 8593080320 | elapsed time per iteration (s): 0.31 | learning rate: 4.478E-05 | global batch size: 256 | lm loss: 2.976219E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.862 | TFLOPs: 29.33 | 7: iteration 16400/ 21553 | consumed samples: 4198400 | consumed tokens: 8598323200 | elapsed time per iteration (s): 0.31 | learning rate: 4.468E-05 | global batch size: 256 | lm loss: 2.938837E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.262 | TFLOPs: 28.61 | 7: iteration 16410/ 21553 | consumed samples: 4200960 | consumed tokens: 8603566080 | elapsed time per iteration (s): 0.31 | learning rate: 4.459E-05 | global batch size: 256 | lm loss: 2.998323E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.871 | TFLOPs: 28.81 | 7: iteration 16420/ 21553 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 0.31 | learning rate: 4.450E-05 | global batch size: 256 | lm loss: 2.975903E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.510 | TFLOPs: 28.72 | 7: iteration 16430/ 21553 | consumed samples: 4206080 | consumed tokens: 8614051840 | elapsed time per iteration (s): 0.31 | learning rate: 4.441E-05 | global batch size: 256 | lm loss: 2.954773E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.075 | TFLOPs: 28.88 | 7: iteration 16440/ 21553 | consumed samples: 4208640 | consumed tokens: 8619294720 | elapsed time per iteration (s): 0.31 | learning rate: 4.432E-05 | global batch size: 256 | lm loss: 2.948766E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.164 | TFLOPs: 28.82 | 7: iteration 16450/ 21553 | consumed samples: 4211200 | consumed tokens: 8624537600 | elapsed time per iteration (s): 0.32 | learning rate: 4.423E-05 | global batch size: 256 | lm loss: 2.952425E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 807.873 | TFLOPs: 28.28 | 7: iteration 16460/ 21553 | consumed samples: 4213760 | consumed tokens: 8629780480 | elapsed time per iteration (s): 0.31 | learning rate: 4.414E-05 | global batch size: 256 | lm loss: 2.968303E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.903 | TFLOPs: 28.95 | 7: iteration 16470/ 21553 | consumed samples: 4216320 | consumed tokens: 8635023360 | elapsed time per iteration (s): 0.31 | learning rate: 4.405E-05 | global batch size: 256 | lm loss: 2.989225E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.154 | TFLOPs: 28.85 | 7: iteration 16480/ 21553 | consumed samples: 4218880 | consumed tokens: 8640266240 | elapsed time per iteration (s): 0.31 | learning rate: 4.396E-05 | global batch size: 256 | lm loss: 2.970274E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.360 | TFLOPs: 28.61 | 7: iteration 16490/ 21553 | consumed samples: 4221440 | consumed tokens: 8645509120 | elapsed time per iteration (s): 0.31 | learning rate: 4.387E-05 | global batch size: 256 | lm loss: 2.968129E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.639 | TFLOPs: 28.73 | 7: iteration 16500/ 21553 | consumed samples: 4224000 | consumed tokens: 8650752000 | elapsed time per iteration (s): 0.31 | learning rate: 4.378E-05 | global batch size: 256 | lm loss: 2.965632E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.519 | TFLOPs: 29.32 | 7: iteration 16510/ 21553 | consumed samples: 4226560 | consumed tokens: 8655994880 | elapsed time per iteration (s): 0.31 | learning rate: 4.369E-05 | global batch size: 256 | lm loss: 2.950434E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.729 | TFLOPs: 28.87 | 7: iteration 16520/ 21553 | consumed samples: 4229120 | consumed tokens: 8661237760 | elapsed time 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------------------------------------------------------------------------------------------- 7: valid loss at iteration 17000 | lm loss value: 2.879547E+00 | lm loss PPL: 1.780620E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 17000 to checkpoints_146moscareap 0: [2022-11-29 18:36:16,404] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step17000 is begin to save! 0: [2022-11-29 18:36:16,409] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step17000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:36:16,506] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:36:16,507] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step17000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:36:16,524] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-29 18:36:16,806] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 1: [2022-11-29 18:36:16,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:36:16,807] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-29 18:36:16,807] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 2: [2022-11-29 18:36:16,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:36:16,807] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-29 18:36:16,807] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 7: [2022-11-29 18:36:16,808] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:36:16,808] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:36:16,808] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:36:16,808] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 1: [2022-11-29 18:36:16,817] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:36:16,818] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 18:36:16,818] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 4: [2022-11-29 18:36:16,818] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:36:16,818] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-29 18:36:16,818] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 6: [2022-11-29 18:36:16,818] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:36:16,818] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 18:36:16,818] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 0: [2022-11-29 18:36:16,818] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:36:16,818] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:36:16,818] [INFO] 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 4: [2022-11-29 18:36:16,819] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:36:16,819] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 18:36:16,819] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 1: [2022-11-29 18:36:16,819] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:36:16,819] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 4: [2022-11-29 18:36:16,819] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 0: [2022-11-29 18:36:16,835] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step17000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:36:16,835] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step17000 is ready now! 0: successfully saved checkpoint at iteration 17000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 442.61 7: iteration 17010/ 21553 | consumed samples: 4354560 | consumed tokens: 8918138880 | elapsed time per iteration (s): 0.36 | learning rate: 3.939E-05 | global batch size: 256 | lm loss: 2.961952E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 706.051 | TFLOPs: 24.72 | 7: iteration 17020/ 21553 | consumed samples: 4357120 | consumed tokens: 8923381760 | elapsed time per iteration (s): 0.33 | learning rate: 3.931E-05 | global batch size: 256 | lm loss: 2.977371E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 775.952 | TFLOPs: 27.16 | 7: iteration 17030/ 21553 | consumed samples: 4359680 | consumed tokens: 8928624640 | elapsed time per iteration (s): 0.31 | learning rate: 3.923E-05 | global batch size: 256 | lm loss: 2.932738E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.792 | TFLOPs: 28.59 | 7: iteration 17040/ 21553 | consumed samples: 4362240 | consumed tokens: 8933867520 | elapsed time per iteration (s): 0.31 | learning rate: 3.915E-05 | global batch size: 256 | lm loss: 2.964189E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.816 | TFLOPs: 28.98 | 7: iteration 17050/ 21553 | consumed samples: 4364800 | consumed tokens: 8939110400 | elapsed time per iteration (s): 0.31 | learning rate: 3.907E-05 | global batch size: 256 | lm loss: 2.956125E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.458 | TFLOPs: 28.97 | 7: iteration 17060/ 21553 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 0.31 | learning rate: 3.898E-05 | global batch size: 256 | lm loss: 2.980567E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.837 | TFLOPs: 29.02 | 7: iteration 17070/ 21553 | consumed samples: 4369920 | consumed tokens: 8949596160 | elapsed time per iteration (s): 0.31 | learning rate: 3.890E-05 | global batch size: 256 | lm loss: 2.965784E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.415 | TFLOPs: 29.18 | 7: iteration 17080/ 21553 | consumed 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| samples per second: 828.873 | TFLOPs: 29.02 | 7: iteration 17140/ 21553 | consumed samples: 4387840 | consumed tokens: 8986296320 | elapsed time per iteration (s): 0.31 | learning rate: 3.834E-05 | global batch size: 256 | lm loss: 2.983832E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.023 | TFLOPs: 28.88 | 7: iteration 17150/ 21553 | consumed samples: 4390400 | consumed tokens: 8991539200 | elapsed time per iteration (s): 0.32 | learning rate: 3.826E-05 | global batch size: 256 | lm loss: 2.961102E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.864 | TFLOPs: 28.39 | 7: iteration 17160/ 21553 | consumed samples: 4392960 | consumed tokens: 8996782080 | elapsed time per iteration (s): 0.31 | learning rate: 3.818E-05 | global batch size: 256 | lm loss: 2.958002E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.832 | TFLOPs: 28.63 | 7: iteration 17170/ 21553 | consumed samples: 4395520 | consumed tokens: 9002024960 | elapsed time per iteration (s): 0.30 | learning rate: 3.810E-05 | global batch size: 256 | lm loss: 2.954753E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.386 | TFLOPs: 29.63 | 7: iteration 17180/ 21553 | consumed samples: 4398080 | consumed tokens: 9007267840 | elapsed time per iteration (s): 0.31 | learning rate: 3.802E-05 | global batch size: 256 | lm loss: 2.977147E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.172 | TFLOPs: 29.03 | 7: iteration 17190/ 21553 | consumed samples: 4400640 | consumed tokens: 9012510720 | elapsed time per iteration (s): 0.30 | learning rate: 3.794E-05 | global batch size: 256 | lm loss: 2.955858E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.811 | TFLOPs: 29.40 | 7: iteration 17200/ 21553 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 0.31 | learning rate: 3.786E-05 | global batch size: 256 | lm loss: 2.949971E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.109 | TFLOPs: 29.20 | 7: iteration 17210/ 21553 | consumed samples: 4405760 | consumed tokens: 9022996480 | elapsed time per iteration (s): 0.31 | learning rate: 3.778E-05 | global batch size: 256 | lm loss: 2.976286E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.564 | TFLOPs: 29.11 | 7: iteration 17220/ 21553 | consumed samples: 4408320 | consumed tokens: 9028239360 | elapsed time per iteration (s): 0.32 | learning rate: 3.770E-05 | global batch size: 256 | lm loss: 2.970787E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.170 | TFLOPs: 28.40 | 7: iteration 17230/ 21553 | consumed samples: 4410880 | consumed tokens: 9033482240 | elapsed time per iteration (s): 0.32 | learning rate: 3.762E-05 | global batch size: 256 | lm loss: 2.989794E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.486 | TFLOPs: 28.13 | 7: iteration 17240/ 21553 | consumed samples: 4413440 | consumed tokens: 9038725120 | elapsed time per iteration (s): 0.31 | learning rate: 3.754E-05 | global batch size: 256 | lm loss: 2.968856E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.724 | TFLOPs: 29.29 | 7: iteration 17250/ 21553 | consumed samples: 4416000 | consumed tokens: 9043968000 | elapsed time per iteration (s): 0.31 | 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256 | lm loss: 2.945967E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.381 | TFLOPs: 28.47 | 7: iteration 17460/ 21553 | consumed samples: 4469760 | consumed tokens: 9154068480 | elapsed time per iteration (s): 0.30 | learning rate: 3.585E-05 | global batch size: 256 | lm loss: 2.978754E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.907 | TFLOPs: 29.44 | 7: iteration 17470/ 21553 | consumed samples: 4472320 | consumed tokens: 9159311360 | elapsed time per iteration (s): 0.31 | learning rate: 3.578E-05 | global batch size: 256 | lm loss: 2.929362E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.718 | TFLOPs: 29.22 | 7: iteration 17480/ 21553 | consumed samples: 4474880 | consumed tokens: 9164554240 | elapsed time per iteration (s): 0.31 | 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| elapsed time per iteration (s): 0.31 | learning rate: 3.548E-05 | global batch size: 256 | lm loss: 2.946519E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.619 | TFLOPs: 29.01 | 7: iteration 17520/ 21553 | consumed samples: 4485120 | consumed tokens: 9185525760 | elapsed time per iteration (s): 0.31 | learning rate: 3.541E-05 | global batch size: 256 | lm loss: 2.930580E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.035 | TFLOPs: 29.16 | 7: iteration 17530/ 21553 | consumed samples: 4487680 | consumed tokens: 9190768640 | elapsed time per iteration (s): 0.31 | learning rate: 3.533E-05 | global batch size: 256 | lm loss: 2.959623E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.514 | TFLOPs: 28.76 | 7: iteration 17540/ 21553 | consumed 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256 | lm loss: 2.982485E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.856 | TFLOPs: 28.98 | 7: iteration 17690/ 21553 | consumed samples: 4528640 | consumed tokens: 9274654720 | elapsed time per iteration (s): 0.31 | learning rate: 3.417E-05 | global batch size: 256 | lm loss: 2.958417E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.148 | TFLOPs: 29.24 | 7: iteration 17700/ 21553 | consumed samples: 4531200 | consumed tokens: 9279897600 | elapsed time per iteration (s): 0.31 | learning rate: 3.410E-05 | global batch size: 256 | lm loss: 2.956221E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.992 | TFLOPs: 28.92 | 7: iteration 17710/ 21553 | consumed samples: 4533760 | consumed tokens: 9285140480 | elapsed time per iteration (s): 0.31 | 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| elapsed time per iteration (s): 0.31 | learning rate: 3.381E-05 | global batch size: 256 | lm loss: 2.954336E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.532 | TFLOPs: 28.97 | 7: iteration 17750/ 21553 | consumed samples: 4544000 | consumed tokens: 9306112000 | elapsed time per iteration (s): 0.31 | learning rate: 3.374E-05 | global batch size: 256 | lm loss: 2.973636E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.316 | TFLOPs: 29.38 | 7: iteration 17760/ 21553 | consumed samples: 4546560 | consumed tokens: 9311354880 | elapsed time per iteration (s): 0.31 | learning rate: 3.367E-05 | global batch size: 256 | lm loss: 2.969100E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.706 | TFLOPs: 29.19 | 7: iteration 17770/ 21553 | consumed 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28.52 | 7: iteration 17800/ 21553 | consumed samples: 4556800 | consumed tokens: 9332326400 | elapsed time per iteration (s): 0.30 | learning rate: 3.339E-05 | global batch size: 256 | lm loss: 2.983241E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.284 | TFLOPs: 29.42 | 7: iteration 17810/ 21553 | consumed samples: 4559360 | consumed tokens: 9337569280 | elapsed time per iteration (s): 0.31 | learning rate: 3.332E-05 | global batch size: 256 | lm loss: 2.999448E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.192 | TFLOPs: 28.89 | 7: iteration 17820/ 21553 | consumed samples: 4561920 | consumed tokens: 9342812160 | elapsed time per iteration (s): 0.30 | learning rate: 3.326E-05 | global batch size: 256 | lm loss: 2.936773E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.120 | TFLOPs: 29.52 | 7: iteration 17830/ 21553 | consumed samples: 4564480 | consumed tokens: 9348055040 | elapsed time per iteration (s): 0.32 | learning rate: 3.319E-05 | global batch size: 256 | lm loss: 2.978305E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 788.502 | TFLOPs: 27.60 | 7: iteration 17840/ 21553 | consumed samples: 4567040 | consumed tokens: 9353297920 | elapsed time per iteration (s): 0.33 | learning rate: 3.312E-05 | global batch size: 256 | lm loss: 2.965014E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 779.440 | TFLOPs: 27.29 | 7: iteration 17850/ 21553 | consumed samples: 4569600 | consumed tokens: 9358540800 | elapsed time per iteration (s): 0.31 | learning rate: 3.305E-05 | global batch size: 256 | lm loss: 2.953182E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.396 | TFLOPs: 29.00 | 7: iteration 17860/ 21553 | consumed samples: 4572160 | consumed tokens: 9363783680 | elapsed time per iteration (s): 0.32 | learning rate: 3.298E-05 | global batch size: 256 | lm loss: 2.960302E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.354 | TFLOPs: 28.30 | 7: iteration 17870/ 21553 | consumed samples: 4574720 | consumed tokens: 9369026560 | elapsed time per iteration (s): 0.31 | learning rate: 3.291E-05 | global batch size: 256 | lm loss: 2.964002E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.783 | TFLOPs: 29.19 | 7: iteration 17880/ 21553 | consumed samples: 4577280 | consumed tokens: 9374269440 | elapsed time per iteration (s): 0.31 | learning rate: 3.284E-05 | global batch size: 256 | lm loss: 2.956119E+00 | grad norm: 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256 | lm loss: 2.942649E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.782 | TFLOPs: 29.50 | 7: iteration 17920/ 21553 | consumed samples: 4587520 | consumed tokens: 9395240960 | elapsed time per iteration (s): 0.31 | learning rate: 3.257E-05 | global batch size: 256 | lm loss: 2.958900E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.614 | TFLOPs: 29.18 | 7: iteration 17930/ 21553 | consumed samples: 4590080 | consumed tokens: 9400483840 | elapsed time per iteration (s): 0.31 | learning rate: 3.250E-05 | global batch size: 256 | lm loss: 2.952410E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 817.142 | TFLOPs: 28.61 | 7: iteration 17940/ 21553 | consumed samples: 4592640 | consumed tokens: 9405726720 | elapsed time per iteration (s): 0.31 | 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| elapsed time per iteration (s): 0.31 | learning rate: 3.224E-05 | global batch size: 256 | lm loss: 2.947240E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.633 | TFLOPs: 28.76 | 7: iteration 17980/ 21553 | consumed samples: 4602880 | consumed tokens: 9426698240 | elapsed time per iteration (s): 0.31 | learning rate: 3.217E-05 | global batch size: 256 | lm loss: 2.977266E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.836 | TFLOPs: 28.70 | 7: iteration 17990/ 21553 | consumed samples: 4605440 | consumed tokens: 9431941120 | elapsed time per iteration (s): 0.30 | learning rate: 3.210E-05 | global batch size: 256 | lm loss: 2.952966E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.421 | TFLOPs: 29.49 | 0: [2022-11-29 18:41:26,805] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[3.2036439682204886e-05, 3.2036439682204886e-05, 3.2036439682204886e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 18000/ 21553 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 0.31 | learning rate: 3.204E-05 | global batch size: 256 | lm loss: 2.982598E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.627 | TFLOPs: 29.18 | 0: steps: 18000 loss: 3.0329 iter time (s): 0.309 samples/sec: 828.676 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 18000 | lm loss value: 2.799227E+00 | lm loss PPL: 1.643194E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 18000 to checkpoints_146moscareap 0: [2022-11-29 18:41:26,929] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step18000 is begin to save! 0: [2022-11-29 18:41:26,933] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step18000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:41:27,029] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:41:27,029] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step18000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:41:27,047] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:41:27,047] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step18000/layer_04-model_00-model_states.pt... 0: [2022-11-29 18:41:27,065] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 4: [2022-11-29 18:41:27,340] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:41:27,341] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 18:41:27,341] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 4: [2022-11-29 18:41:27,341] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:41:27,341] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:41:27,341] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:41:27,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-29 18:41:27,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-29 18:41:27,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 18:41:27,351] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 1: [2022-11-29 18:41:27,351] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 7: [2022-11-29 18:41:27,347] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:41:27,347] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 18:41:27,347] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 7: [2022-11-29 18:41:27,347] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:41:27,347] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:41:27,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 18:41:27,348] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 7: [2022-11-29 18:41:27,348] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-29 18:41:27,348] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 7: [2022-11-29 18:41:27,352] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:41:27,352] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-29 18:41:27,352] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 7: [2022-11-29 18:41:27,352] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:41:27,352] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 18:41:27,352] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 0: [2022-11-29 18:41:27,374] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step18000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:41:27,374] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step18000 is ready now! 0: successfully saved checkpoint at iteration 18000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 449.60 7: iteration 18010/ 21553 | consumed samples: 4610560 | consumed tokens: 9442426880 | elapsed time per iteration (s): 0.37 | learning rate: 3.197E-05 | global batch size: 256 | lm loss: 2.960490E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 700.739 | TFLOPs: 24.53 | 7: iteration 18020/ 21553 | consumed samples: 4613120 | consumed tokens: 9447669760 | elapsed time per iteration (s): 0.30 | learning rate: 3.190E-05 | global batch size: 256 | lm loss: 2.984208E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.666 | TFLOPs: 29.57 | 7: iteration 18030/ 21553 | consumed samples: 4615680 | consumed tokens: 9452912640 | elapsed time per iteration (s): 0.31 | learning rate: 3.184E-05 | global batch size: 256 | lm loss: 2.942823E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.236 | TFLOPs: 29.17 | 7: iteration 18040/ 21553 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 0.31 | learning rate: 3.177E-05 | global batch size: 256 | lm loss: 2.929715E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.611 | TFLOPs: 29.11 | 7: iteration 18050/ 21553 | consumed samples: 4620800 | consumed tokens: 9463398400 | elapsed time per iteration (s): 0.31 | learning rate: 3.171E-05 | global batch size: 256 | lm loss: 2.948136E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.927 | TFLOPs: 28.98 | 7: iteration 18060/ 21553 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 0.30 | learning rate: 3.164E-05 | global batch size: 256 | lm loss: 2.967511E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.077 | TFLOPs: 29.48 | 7: iteration 18070/ 21553 | consumed samples: 4625920 | consumed tokens: 9473884160 | elapsed time per iteration (s): 0.32 | learning rate: 3.158E-05 | global batch size: 256 | lm loss: 2.943221E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.294 | TFLOPs: 28.44 | 7: iteration 18080/ 21553 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 0.31 | learning rate: 3.151E-05 | global batch size: 256 | lm loss: 2.941460E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.924 | TFLOPs: 29.33 | 7: iteration 18090/ 21553 | consumed samples: 4631040 | consumed tokens: 9484369920 | elapsed time per iteration (s): 0.31 | learning rate: 3.145E-05 | global batch size: 256 | lm loss: 2.971399E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.313 | TFLOPs: 29.10 | 7: iteration 18100/ 21553 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 0.32 | learning rate: 3.138E-05 | global batch size: 256 | lm loss: 2.918613E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.069 | TFLOPs: 28.29 | 7: iteration 18110/ 21553 | consumed samples: 4636160 | consumed tokens: 9494855680 | elapsed time per iteration (s): 0.31 | learning rate: 3.132E-05 | global batch size: 256 | lm loss: 2.953259E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.098 | TFLOPs: 29.20 | 7: iteration 18120/ 21553 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 0.31 | learning rate: 3.125E-05 | global batch size: 256 | lm loss: 2.953252E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.108 | TFLOPs: 29.27 | 7: iteration 18130/ 21553 | consumed samples: 4641280 | consumed tokens: 9505341440 | elapsed time per iteration (s): 0.30 | learning rate: 3.119E-05 | global batch size: 256 | lm loss: 2.978024E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.549 | TFLOPs: 29.43 | 7: iteration 18140/ 21553 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 0.31 | learning rate: 3.113E-05 | global batch size: 256 | lm loss: 2.933273E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.588 | TFLOPs: 28.76 | 7: iteration 18150/ 21553 | consumed samples: 4646400 | consumed tokens: 9515827200 | elapsed time per iteration (s): 0.31 | learning rate: 3.106E-05 | global batch size: 256 | lm loss: 2.940590E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.400 | TFLOPs: 28.68 | 7: iteration 18160/ 21553 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 0.31 | learning rate: 3.100E-05 | global batch size: 256 | lm loss: 2.951271E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.696 | TFLOPs: 29.01 | 7: iteration 18170/ 21553 | consumed samples: 4651520 | consumed tokens: 9526312960 | elapsed time per iteration (s): 0.32 | learning rate: 3.094E-05 | global batch size: 256 | lm loss: 2.961935E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.872 | TFLOPs: 28.35 | 7: iteration 18180/ 21553 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 0.31 | learning rate: 3.087E-05 | global batch size: 256 | lm loss: 2.960924E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.735 | TFLOPs: 29.26 | 7: iteration 18190/ 21553 | consumed samples: 4656640 | consumed tokens: 9536798720 | elapsed time per iteration (s): 0.31 | learning rate: 3.081E-05 | global batch size: 256 | lm loss: 2.962894E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.357 | TFLOPs: 28.79 | 7: iteration 18200/ 21553 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 0.31 | learning rate: 3.075E-05 | global batch size: 256 | lm loss: 2.951007E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.468 | TFLOPs: 28.65 | 7: iteration 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second: 835.599 | TFLOPs: 29.25 | 7: iteration 18240/ 21553 | consumed samples: 4669440 | consumed tokens: 9563013120 | elapsed time per iteration (s): 0.31 | learning rate: 3.050E-05 | global batch size: 256 | lm loss: 2.967370E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.370 | TFLOPs: 28.89 | 7: iteration 18250/ 21553 | consumed samples: 4672000 | consumed tokens: 9568256000 | elapsed time per iteration (s): 0.31 | learning rate: 3.043E-05 | global batch size: 256 | lm loss: 2.946155E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.832 | TFLOPs: 29.33 | 7: iteration 18260/ 21553 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 0.30 | learning rate: 3.037E-05 | global batch size: 256 | lm loss: 2.986864E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.008 | TFLOPs: 29.58 | 7: iteration 18270/ 21553 | consumed samples: 4677120 | consumed tokens: 9578741760 | elapsed time per iteration (s): 0.32 | learning rate: 3.031E-05 | global batch size: 256 | lm loss: 2.968813E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.438 | TFLOPs: 28.41 | 7: iteration 18280/ 21553 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 0.31 | learning rate: 3.025E-05 | global batch size: 256 | lm loss: 2.967983E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.284 | TFLOPs: 29.00 | 7: iteration 18290/ 21553 | consumed samples: 4682240 | consumed tokens: 9589227520 | elapsed time per iteration (s): 0.31 | learning rate: 3.019E-05 | global batch size: 256 | lm loss: 2.969991E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.536 | TFLOPs: 29.25 | 7: iteration 18300/ 21553 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 0.32 | learning rate: 3.013E-05 | global batch size: 256 | lm loss: 2.962277E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.859 | TFLOPs: 28.18 | 7: iteration 18310/ 21553 | consumed samples: 4687360 | consumed tokens: 9599713280 | elapsed time per iteration (s): 0.31 | learning rate: 3.007E-05 | global batch size: 256 | lm loss: 2.935603E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.860 | TFLOPs: 29.05 | 7: iteration 18320/ 21553 | consumed samples: 4689920 | consumed tokens: 9604956160 | elapsed time per iteration (s): 0.32 | learning rate: 3.001E-05 | global batch size: 256 | lm loss: 2.959085E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.444 | TFLOPs: 28.06 | 7: iteration 18330/ 21553 | consumed samples: 4692480 | consumed tokens: 9610199040 | elapsed time per iteration (s): 0.31 | learning rate: 2.994E-05 | global batch size: 256 | lm loss: 2.944897E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.969 | TFLOPs: 28.53 | 7: iteration 18340/ 21553 | consumed samples: 4695040 | consumed tokens: 9615441920 | elapsed time per iteration (s): 0.32 | learning rate: 2.988E-05 | global batch size: 256 | lm loss: 2.941537E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.057 | TFLOPs: 28.43 | 7: iteration 18350/ 21553 | consumed samples: 4697600 | consumed tokens: 9620684800 | elapsed time per iteration (s): 0.31 | learning rate: 2.982E-05 | global batch size: 256 | lm loss: 2.958370E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.468 | TFLOPs: 29.32 | 7: iteration 18360/ 21553 | consumed samples: 4700160 | consumed tokens: 9625927680 | elapsed time per iteration (s): 0.31 | learning rate: 2.976E-05 | global batch size: 256 | lm loss: 2.978032E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.774 | TFLOPs: 29.12 | 7: iteration 18370/ 21553 | consumed samples: 4702720 | consumed tokens: 9631170560 | elapsed time per iteration (s): 0.31 | learning rate: 2.970E-05 | global batch size: 256 | lm loss: 2.958478E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.191 | TFLOPs: 28.96 | 7: iteration 18380/ 21553 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 0.31 | learning rate: 2.964E-05 | global batch size: 256 | lm loss: 2.948850E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.828 | TFLOPs: 29.33 | 7: iteration 18390/ 21553 | consumed samples: 4707840 | consumed tokens: 9641656320 | elapsed time per iteration (s): 0.31 | learning rate: 2.958E-05 | global batch size: 256 | lm loss: 2.936566E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 821.721 | TFLOPs: 28.77 | 7: iteration 18400/ 21553 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 0.31 | learning rate: 2.953E-05 | global batch size: 256 | lm loss: 2.936161E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.250 | TFLOPs: 29.03 | 7: iteration 18410/ 21553 | consumed samples: 4712960 | consumed tokens: 9652142080 | elapsed time per iteration (s): 0.31 | learning rate: 2.947E-05 | global batch size: 256 | lm loss: 2.978265E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.608 | TFLOPs: 29.08 | 7: iteration 18420/ 21553 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 0.30 | learning rate: 2.941E-05 | global batch size: 256 | lm loss: 2.949468E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.647 | TFLOPs: 29.39 | 7: iteration 18430/ 21553 | consumed samples: 4718080 | consumed tokens: 9662627840 | elapsed time per iteration (s): 0.30 | learning rate: 2.935E-05 | global batch size: 256 | lm loss: 2.961346E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.565 | TFLOPs: 29.39 | 7: iteration 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second: 825.262 | TFLOPs: 28.89 | 7: iteration 18470/ 21553 | consumed samples: 4728320 | consumed tokens: 9683599360 | elapsed time per iteration (s): 0.32 | learning rate: 2.911E-05 | global batch size: 256 | lm loss: 2.924507E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.306 | TFLOPs: 28.23 | 7: iteration 18480/ 21553 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 0.32 | learning rate: 2.906E-05 | global batch size: 256 | lm loss: 2.948721E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.064 | TFLOPs: 27.66 | 7: iteration 18490/ 21553 | consumed samples: 4733440 | consumed tokens: 9694085120 | elapsed time per iteration (s): 0.31 | learning rate: 2.900E-05 | global batch size: 256 | lm loss: 2.962306E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | 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second: 836.525 | TFLOPs: 29.28 | 7: iteration 18930/ 21553 | consumed samples: 4846080 | consumed tokens: 9924771840 | elapsed time per iteration (s): 0.31 | learning rate: 2.663E-05 | global batch size: 256 | lm loss: 2.958850E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.316 | TFLOPs: 28.86 | 7: iteration 18940/ 21553 | consumed samples: 4848640 | consumed tokens: 9930014720 | elapsed time per iteration (s): 0.31 | learning rate: 2.658E-05 | global batch size: 256 | lm loss: 2.970624E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.375 | TFLOPs: 29.24 | 7: iteration 18950/ 21553 | consumed samples: 4851200 | consumed tokens: 9935257600 | elapsed time per iteration (s): 0.33 | learning rate: 2.653E-05 | global batch size: 256 | lm loss: 2.964270E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 773.455 | TFLOPs: 27.08 | 7: iteration 18960/ 21553 | consumed samples: 4853760 | consumed tokens: 9940500480 | elapsed time per iteration (s): 0.31 | learning rate: 2.648E-05 | global batch size: 256 | lm loss: 2.939311E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.896 | TFLOPs: 28.53 | 7: iteration 18970/ 21553 | consumed samples: 4856320 | consumed tokens: 9945743360 | elapsed time per iteration (s): 0.31 | learning rate: 2.643E-05 | global batch size: 256 | lm loss: 2.997460E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.161 | TFLOPs: 28.82 | 7: iteration 18980/ 21553 | consumed samples: 4858880 | consumed tokens: 9950986240 | elapsed time per iteration (s): 0.31 | learning rate: 2.638E-05 | global batch size: 256 | lm loss: 2.973968E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.943 | TFLOPs: 29.23 | 7: iteration 18990/ 21553 | consumed samples: 4861440 | consumed tokens: 9956229120 | elapsed time per iteration (s): 0.31 | learning rate: 2.633E-05 | global batch size: 256 | lm loss: 2.977981E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.824 | TFLOPs: 29.05 | 7: iteration 19000/ 21553 | consumed samples: 4864000 | consumed tokens: 9961472000 | elapsed time per iteration (s): 0.31 | learning rate: 2.628E-05 | global batch size: 256 | lm loss: 2.946991E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.566 | TFLOPs: 29.08 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 19000 | lm loss value: 2.929189E+00 | lm loss PPL: 1.871245E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 19000 to checkpoints_146moscareap 0: [2022-11-29 18:46:37,405] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step19000 is begin to save! 0: [2022-11-29 18:46:37,408] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step19000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:46:37,504] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step19000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:46:37,505] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step19000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:46:37,522] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step19000/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:46:37,522] [INFO] 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2.604E-05 | global batch size: 256 | lm loss: 2.930621E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.298 | TFLOPs: 29.59 | 7: iteration 19060/ 21553 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 0.31 | learning rate: 2.600E-05 | global batch size: 256 | lm loss: 2.950077E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.808 | TFLOPs: 28.94 | 7: iteration 19070/ 21553 | consumed samples: 4881920 | consumed tokens: 9998172160 | elapsed time per iteration (s): 0.31 | learning rate: 2.595E-05 | global batch size: 256 | lm loss: 2.975562E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.095 | TFLOPs: 28.71 | 7: iteration 19080/ 21553 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 0.31 | learning rate: 2.590E-05 | global batch size: 256 | lm loss: 2.959605E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.298 | TFLOPs: 28.86 | 7: iteration 19090/ 21553 | consumed samples: 4887040 | consumed tokens: 10008657920 | elapsed time per iteration (s): 0.30 | learning rate: 2.585E-05 | global batch size: 256 | lm loss: 2.958516E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.517 | TFLOPs: 29.56 | 7: iteration 19100/ 21553 | consumed samples: 4889600 | consumed tokens: 10013900800 | elapsed time per iteration (s): 0.31 | learning rate: 2.581E-05 | global batch size: 256 | lm loss: 2.953547E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 813.205 | TFLOPs: 28.47 | 7: iteration 19110/ 21553 | consumed samples: 4892160 | consumed tokens: 10019143680 | elapsed time per iteration (s): 0.31 | learning rate: 2.576E-05 | global batch size: 256 | lm loss: 2.976519E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.402 | TFLOPs: 29.04 | 7: iteration 19120/ 21553 | consumed samples: 4894720 | consumed tokens: 10024386560 | elapsed time per iteration (s): 0.32 | learning rate: 2.571E-05 | global batch size: 256 | lm loss: 2.946388E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.613 | TFLOPs: 28.17 | 7: iteration 19130/ 21553 | consumed samples: 4897280 | consumed tokens: 10029629440 | elapsed time per iteration (s): 0.31 | learning rate: 2.567E-05 | global batch size: 256 | lm loss: 2.955418E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.339 | TFLOPs: 28.58 | 7: iteration 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second: 832.048 | TFLOPs: 29.13 | 7: iteration 19170/ 21553 | consumed samples: 4907520 | consumed tokens: 10050600960 | elapsed time per iteration (s): 0.31 | learning rate: 2.548E-05 | global batch size: 256 | lm loss: 2.944592E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.355 | TFLOPs: 28.68 | 7: iteration 19180/ 21553 | consumed samples: 4910080 | consumed tokens: 10055843840 | elapsed time per iteration (s): 0.31 | learning rate: 2.544E-05 | global batch size: 256 | lm loss: 2.976893E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.126 | TFLOPs: 28.99 | 7: iteration 19190/ 21553 | consumed samples: 4912640 | consumed tokens: 10061086720 | elapsed time per iteration (s): 0.31 | learning rate: 2.539E-05 | global batch size: 256 | lm loss: 2.946095E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.568 | TFLOPs: 29.11 | 7: iteration 19200/ 21553 | consumed samples: 4915200 | consumed tokens: 10066329600 | elapsed time per iteration (s): 0.30 | learning rate: 2.535E-05 | global batch size: 256 | lm loss: 2.964862E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 844.599 | TFLOPs: 29.57 | 7: iteration 19210/ 21553 | consumed samples: 4917760 | consumed tokens: 10071572480 | elapsed time per iteration (s): 0.30 | learning rate: 2.530E-05 | global batch size: 256 | lm loss: 2.955547E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.130 | TFLOPs: 29.59 | 7: iteration 19220/ 21553 | consumed samples: 4920320 | consumed tokens: 10076815360 | elapsed time per iteration (s): 0.30 | learning rate: 2.526E-05 | global batch size: 256 | lm loss: 2.960815E+00 | grad norm: 0.318 | num 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loss: 2.946926E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 825.628 | TFLOPs: 28.90 | 7: iteration 19260/ 21553 | consumed samples: 4930560 | consumed tokens: 10097786880 | elapsed time per iteration (s): 0.30 | learning rate: 2.508E-05 | global batch size: 256 | lm loss: 2.944497E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.520 | TFLOPs: 29.67 | 7: iteration 19270/ 21553 | consumed samples: 4933120 | consumed tokens: 10103029760 | elapsed time per iteration (s): 0.31 | learning rate: 2.504E-05 | global batch size: 256 | lm loss: 2.950224E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.153 | TFLOPs: 29.10 | 7: iteration 19280/ 21553 | consumed samples: 4935680 | consumed tokens: 10108272640 | elapsed time per iteration (s): 0.31 | learning 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29.46 | 7: iteration 19370/ 21553 | consumed samples: 4958720 | consumed tokens: 10155458560 | elapsed time per iteration (s): 0.31 | learning rate: 2.461E-05 | global batch size: 256 | lm loss: 2.934313E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.511 | TFLOPs: 28.93 | 7: iteration 19380/ 21553 | consumed samples: 4961280 | consumed tokens: 10160701440 | elapsed time per iteration (s): 0.31 | learning rate: 2.457E-05 | global batch size: 256 | lm loss: 2.978202E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.904 | TFLOPs: 29.26 | 7: iteration 19390/ 21553 | consumed samples: 4963840 | consumed tokens: 10165944320 | elapsed time per iteration (s): 0.31 | learning rate: 2.453E-05 | global batch size: 256 | lm loss: 2.954178E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.891 | TFLOPs: 28.67 | 7: iteration 19400/ 21553 | consumed samples: 4966400 | consumed tokens: 10171187200 | elapsed time per iteration (s): 0.31 | learning rate: 2.448E-05 | global batch size: 256 | lm loss: 2.945183E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.906 | TFLOPs: 29.33 | 7: iteration 19410/ 21553 | consumed samples: 4968960 | consumed tokens: 10176430080 | elapsed time per iteration (s): 0.31 | learning rate: 2.444E-05 | global batch size: 256 | lm loss: 2.952820E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 820.939 | TFLOPs: 28.74 | 7: iteration 19420/ 21553 | consumed samples: 4971520 | consumed tokens: 10181672960 | elapsed time per iteration (s): 0.31 | learning rate: 2.440E-05 | global batch size: 256 | lm loss: 2.970119E+00 | grad norm: 0.317 | num zeros: 0.0 | 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time per iteration (s): 0.30 | learning rate: 2.404E-05 | global batch size: 256 | lm loss: 2.929047E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.646 | TFLOPs: 29.53 | 7: iteration 19520/ 21553 | consumed samples: 4997120 | consumed tokens: 10234101760 | elapsed time per iteration (s): 0.31 | learning rate: 2.400E-05 | global batch size: 256 | lm loss: 2.966823E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.107 | TFLOPs: 28.99 | 7: iteration 19530/ 21553 | consumed samples: 4999680 | consumed tokens: 10239344640 | elapsed time per iteration (s): 0.30 | learning rate: 2.396E-05 | global batch size: 256 | lm loss: 2.949743E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 846.199 | TFLOPs: 29.62 | 7: iteration 19540/ 21553 | consumed samples: 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iteration 19570/ 21553 | consumed samples: 5009920 | consumed tokens: 10260316160 | elapsed time per iteration (s): 0.30 | learning rate: 2.381E-05 | global batch size: 256 | lm loss: 2.915695E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.374 | TFLOPs: 29.45 | 7: iteration 19580/ 21553 | consumed samples: 5012480 | consumed tokens: 10265559040 | elapsed time per iteration (s): 0.31 | learning rate: 2.377E-05 | global batch size: 256 | lm loss: 2.950319E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.683 | TFLOPs: 29.29 | 7: iteration 19590/ 21553 | consumed samples: 5015040 | consumed tokens: 10270801920 | elapsed time per iteration (s): 0.31 | learning rate: 2.373E-05 | global batch size: 256 | lm loss: 2.941210E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.354 | TFLOPs: 28.65 | 7: iteration 19600/ 21553 | consumed samples: 5017600 | consumed tokens: 10276044800 | elapsed time per iteration (s): 0.31 | learning rate: 2.370E-05 | global batch size: 256 | lm loss: 2.950290E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.287 | TFLOPs: 29.38 | 7: iteration 19610/ 21553 | consumed samples: 5020160 | consumed tokens: 10281287680 | elapsed time per iteration (s): 0.32 | learning rate: 2.366E-05 | global batch size: 256 | lm loss: 2.956772E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 791.576 | TFLOPs: 27.71 | 7: iteration 19620/ 21553 | consumed samples: 5022720 | consumed tokens: 10286530560 | elapsed time per iteration (s): 0.31 | learning rate: 2.362E-05 | global batch size: 256 | lm loss: 2.950986E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.068 | TFLOPs: 28.85 | 7: iteration 19630/ 21553 | consumed samples: 5025280 | consumed tokens: 10291773440 | elapsed time per iteration (s): 0.31 | learning rate: 2.358E-05 | global batch size: 256 | lm loss: 2.980904E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.690 | TFLOPs: 29.12 | 7: iteration 19640/ 21553 | consumed samples: 5027840 | consumed tokens: 10297016320 | elapsed time per iteration (s): 0.30 | learning rate: 2.355E-05 | global batch size: 256 | lm loss: 2.946919E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.657 | TFLOPs: 29.43 | 7: iteration 19650/ 21553 | consumed samples: 5030400 | consumed tokens: 10302259200 | elapsed time per iteration (s): 0.31 | learning rate: 2.351E-05 | global batch size: 256 | lm loss: 2.956842E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.936 | TFLOPs: 28.81 | 7: iteration 19660/ 21553 | consumed samples: 5032960 | consumed tokens: 10307502080 | elapsed time per iteration (s): 0.30 | learning rate: 2.347E-05 | global batch size: 256 | lm loss: 2.946052E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.280 | TFLOPs: 29.42 | 7: iteration 19670/ 21553 | consumed samples: 5035520 | consumed tokens: 10312744960 | elapsed time per iteration (s): 0.31 | learning rate: 2.344E-05 | global batch size: 256 | lm loss: 2.933194E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.029 | TFLOPs: 29.09 | 7: iteration 19680/ 21553 | consumed samples: 5038080 | consumed tokens: 10317987840 | elapsed time per iteration (s): 0.31 | learning rate: 2.340E-05 | global batch size: 256 | lm loss: 2.981053E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 818.347 | TFLOPs: 28.65 | 7: iteration 19690/ 21553 | consumed samples: 5040640 | consumed tokens: 10323230720 | elapsed time per iteration (s): 0.30 | learning rate: 2.336E-05 | global batch size: 256 | lm loss: 2.946484E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.673 | TFLOPs: 29.39 | 7: iteration 19700/ 21553 | consumed samples: 5043200 | consumed tokens: 10328473600 | elapsed time per iteration (s): 0.31 | learning rate: 2.333E-05 | global batch size: 256 | lm loss: 2.948185E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 819.689 | TFLOPs: 28.70 | 7: iteration 19710/ 21553 | consumed samples: 5045760 | consumed tokens: 10333716480 | elapsed time per iteration (s): 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consumed samples: 5061120 | consumed tokens: 10365173760 | elapsed time per iteration (s): 0.31 | learning rate: 2.308E-05 | global batch size: 256 | lm loss: 2.951498E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 815.393 | TFLOPs: 28.54 | 7: iteration 19780/ 21553 | consumed samples: 5063680 | consumed tokens: 10370416640 | elapsed time per iteration (s): 0.33 | learning rate: 2.305E-05 | global batch size: 256 | lm loss: 2.972974E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 786.061 | TFLOPs: 27.52 | 7: iteration 19790/ 21553 | consumed samples: 5066240 | consumed tokens: 10375659520 | elapsed time per iteration (s): 0.31 | learning rate: 2.302E-05 | global batch size: 256 | lm loss: 2.978277E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.276 | TFLOPs: 29.35 | 7: iteration 19800/ 21553 | consumed samples: 5068800 | consumed tokens: 10380902400 | elapsed time per iteration (s): 0.31 | learning rate: 2.298E-05 | global batch size: 256 | lm loss: 2.947406E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.354 | TFLOPs: 29.21 | 7: iteration 19810/ 21553 | consumed samples: 5071360 | consumed tokens: 10386145280 | elapsed time per iteration (s): 0.31 | learning rate: 2.295E-05 | global batch size: 256 | lm loss: 2.952905E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.690 | TFLOPs: 29.22 | 7: iteration 19820/ 21553 | consumed samples: 5073920 | consumed tokens: 10391388160 | elapsed time per iteration (s): 0.30 | learning rate: 2.291E-05 | global batch size: 256 | lm loss: 2.924504E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.873 | TFLOPs: 29.54 | 7: iteration 19830/ 21553 | consumed samples: 5076480 | consumed tokens: 10396631040 | elapsed time per iteration (s): 0.31 | learning rate: 2.288E-05 | global batch size: 256 | lm loss: 2.956547E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.226 | TFLOPs: 29.10 | 7: iteration 19840/ 21553 | consumed samples: 5079040 | consumed tokens: 10401873920 | elapsed time per iteration (s): 0.31 | learning rate: 2.285E-05 | global batch size: 256 | lm loss: 2.948135E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.570 | TFLOPs: 28.83 | 7: iteration 19850/ 21553 | consumed samples: 5081600 | consumed tokens: 10407116800 | elapsed time per iteration (s): 0.31 | learning rate: 2.281E-05 | global batch size: 256 | lm loss: 2.937880E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 832.880 | TFLOPs: 29.16 | 7: iteration 19860/ 21553 | consumed samples: 5084160 | consumed tokens: 10412359680 | elapsed time per iteration (s): 0.31 | learning rate: 2.278E-05 | global batch size: 256 | lm loss: 2.965538E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.373 | TFLOPs: 29.00 | 7: iteration 19870/ 21553 | consumed samples: 5086720 | consumed tokens: 10417602560 | elapsed time per iteration (s): 0.31 | learning rate: 2.275E-05 | global batch size: 256 | lm loss: 2.930407E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.431 | TFLOPs: 29.21 | 7: iteration 19880/ 21553 | consumed samples: 5089280 | consumed tokens: 10422845440 | elapsed time per iteration (s): 0.31 | learning rate: 2.272E-05 | global batch size: 256 | lm loss: 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[2022-11-29 18:51:45,881] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[2.234259142486404e-05, 2.234259142486404e-05, 2.234259142486404e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 20000/ 21553 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 0.30 | learning rate: 2.234E-05 | global batch size: 256 | lm loss: 2.967794E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 849.891 | TFLOPs: 29.75 | 0: steps: 20000 loss: 2.9494 iter time (s): 0.308 samples/sec: 832.515 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 20000 | lm loss value: 2.870371E+00 | lm loss PPL: 1.764356E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 20000 to checkpoints_146moscareap 0: [2022-11-29 18:51:46,013] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step20000 is begin to save! 0: [2022-11-29 18:51:46,017] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step20000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:51:46,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:51:46,157] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step20000/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:51:46,180] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:51:46,180] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step20000/layer_04-model_00-model_states.pt... 0: [2022-11-29 18:51:46,202] [INFO] 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global_step20000 is ready now! 7: [2022-11-29 18:51:46,491] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:51:46,491] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 18:51:46,491] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 1: [2022-11-29 18:51:46,493] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:51:46,493] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 18:51:46,493] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 6: [2022-11-29 18:51:46,493] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:51:46,493] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 18:51:46,494] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 6: [2022-11-29 18:51:46,494] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:51:46,494] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:51:46,494] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 5: [2022-11-29 18:51:46,494] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 6: [2022-11-29 18:51:46,494] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 5: [2022-11-29 18:51:46,494] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 5: [2022-11-29 18:51:46,495] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:51:46,495] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-29 18:51:46,495] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: [2022-11-29 18:51:46,513] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step20000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:51:46,513] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: successfully saved checkpoint at iteration 20000 to checkpoints_146moscareap 7: time (ms) | save-checkpoint: 505.28 7: iteration 20010/ 21553 | consumed samples: 5122560 | consumed tokens: 10491002880 | elapsed time per iteration (s): 0.37 | learning rate: 2.231E-05 | global batch size: 256 | lm loss: 2.960618E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 690.435 | TFLOPs: 24.17 | 7: iteration 20020/ 21553 | consumed samples: 5125120 | consumed tokens: 10496245760 | elapsed time per iteration (s): 0.31 | learning rate: 2.228E-05 | global batch size: 256 | lm loss: 2.934708E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.823 | TFLOPs: 29.05 | 7: iteration 20030/ 21553 | consumed samples: 5127680 | consumed tokens: 10501488640 | elapsed time per iteration (s): 0.31 | learning rate: 2.225E-05 | global batch size: 256 | lm loss: 2.969653E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.531 | TFLOPs: 29.04 | 7: iteration 20040/ 21553 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 0.31 | learning rate: 2.222E-05 | global batch size: 256 | lm loss: 2.953973E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.109 | TFLOPs: 28.81 | 7: iteration 20050/ 21553 | consumed samples: 5132800 | consumed tokens: 10511974400 | elapsed time per iteration (s): 0.31 | learning rate: 2.219E-05 | global batch size: 256 | lm loss: 2.948051E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.380 | TFLOPs: 29.03 | 7: iteration 20060/ 21553 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 0.30 | learning rate: 2.217E-05 | global batch size: 256 | lm loss: 2.957098E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.975 | TFLOPs: 29.69 | 7: iteration 20070/ 21553 | consumed samples: 5137920 | consumed tokens: 10522460160 | elapsed time per iteration (s): 0.32 | learning rate: 2.214E-05 | global batch size: 256 | lm loss: 2.957331E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 805.933 | TFLOPs: 28.21 | 7: iteration 20080/ 21553 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 0.31 | learning rate: 2.211E-05 | global batch size: 256 | lm loss: 2.925057E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.138 | TFLOPs: 28.96 | 7: iteration 20090/ 21553 | consumed samples: 5143040 | consumed tokens: 10532945920 | elapsed time per iteration (s): 0.30 | learning rate: 2.208E-05 | global batch size: 256 | lm loss: 2.933658E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.660 | TFLOPs: 29.43 | 7: iteration 20100/ 21553 | consumed samples: 5145600 | consumed tokens: 10538188800 | elapsed time per iteration (s): 0.32 | learning rate: 2.205E-05 | global batch size: 256 | lm loss: 2.913223E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 791.289 | TFLOPs: 27.70 | 7: iteration 20110/ 21553 | consumed samples: 5148160 | consumed tokens: 10543431680 | elapsed time per iteration (s): 0.30 | learning rate: 2.202E-05 | global batch size: 256 | lm loss: 2.940491E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.349 | TFLOPs: 29.52 | 7: iteration 20120/ 21553 | consumed samples: 5150720 | consumed tokens: 10548674560 | elapsed time per iteration (s): 0.30 | learning rate: 2.200E-05 | global batch size: 256 | lm loss: 2.949621E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.807 | TFLOPs: 29.78 | 7: iteration 20130/ 21553 | consumed samples: 5153280 | consumed tokens: 10553917440 | elapsed time per iteration (s): 0.32 | learning rate: 2.197E-05 | global batch size: 256 | lm loss: 2.949147E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 803.967 | TFLOPs: 28.14 | 7: iteration 20140/ 21553 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 0.31 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.938764E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.597 | TFLOPs: 28.87 | 7: iteration 20150/ 21553 | consumed samples: 5158400 | consumed tokens: 10564403200 | elapsed time per iteration (s): 0.31 | learning rate: 2.191E-05 | global batch size: 256 | lm loss: 2.977012E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.637 | TFLOPs: 29.04 | 7: iteration 20160/ 21553 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 0.31 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.922094E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.387 | TFLOPs: 29.21 | 7: iteration 20170/ 21553 | consumed samples: 5163520 | consumed tokens: 10574888960 | elapsed time per iteration (s): 0.31 | learning rate: 2.186E-05 | global batch size: 256 | lm loss: 2.941003E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.817 | TFLOPs: 29.12 | 7: iteration 20180/ 21553 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 0.30 | learning rate: 2.183E-05 | global batch size: 256 | lm loss: 2.950815E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 841.069 | TFLOPs: 29.44 | 7: iteration 20190/ 21553 | consumed samples: 5168640 | consumed tokens: 10585374720 | elapsed time per iteration (s): 0.31 | learning rate: 2.181E-05 | global batch size: 256 | lm loss: 2.960149E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.363 | TFLOPs: 29.31 | 7: iteration 20200/ 21553 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 0.31 | learning rate: 2.178E-05 | global batch size: 256 | lm loss: 2.940799E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.889 | TFLOPs: 29.30 | 7: iteration 20210/ 21553 | consumed samples: 5173760 | consumed tokens: 10595860480 | elapsed time per iteration (s): 0.31 | learning rate: 2.175E-05 | global batch size: 256 | lm loss: 2.924348E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.394 | TFLOPs: 29.31 | 7: iteration 20220/ 21553 | consumed samples: 5176320 | consumed tokens: 10601103360 | elapsed time per iteration (s): 0.31 | learning rate: 2.173E-05 | global batch size: 256 | lm loss: 2.958759E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.797 | TFLOPs: 29.01 | 7: iteration 20230/ 21553 | consumed samples: 5178880 | consumed tokens: 10606346240 | elapsed time per iteration (s): 0.31 | learning rate: 2.170E-05 | global batch size: 256 | lm loss: 2.946567E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.247 | TFLOPs: 29.03 | 7: iteration 20240/ 21553 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 0.30 | learning rate: 2.168E-05 | global batch size: 256 | lm loss: 2.928706E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 847.856 | TFLOPs: 29.68 | 7: iteration 20250/ 21553 | consumed samples: 5184000 | consumed tokens: 10616832000 | elapsed time per iteration (s): 0.31 | learning rate: 2.165E-05 | global batch size: 256 | lm loss: 2.949948E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.377 | TFLOPs: 29.31 | 7: iteration 20260/ 21553 | consumed samples: 5186560 | consumed tokens: 10622074880 | elapsed time per iteration (s): 0.31 | learning rate: 2.163E-05 | global batch size: 256 | lm loss: 2.981004E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.554 | TFLOPs: 28.83 | 7: iteration 20270/ 21553 | consumed samples: 5189120 | consumed tokens: 10627317760 | elapsed time per iteration (s): 0.32 | learning rate: 2.160E-05 | global batch size: 256 | lm loss: 2.956259E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.635 | TFLOPs: 27.85 | 7: iteration 20280/ 21553 | consumed samples: 5191680 | consumed tokens: 10632560640 | elapsed time per iteration (s): 0.31 | learning rate: 2.158E-05 | global batch size: 256 | lm loss: 2.941969E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.001 | TFLOPs: 28.95 | 7: iteration 20290/ 21553 | consumed samples: 5194240 | consumed tokens: 10637803520 | elapsed time per iteration (s): 0.31 | learning rate: 2.155E-05 | global batch size: 256 | lm loss: 2.937849E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 837.706 | TFLOPs: 29.33 | 7: iteration 20300/ 21553 | consumed samples: 5196800 | consumed tokens: 10643046400 | elapsed time per iteration (s): 0.31 | learning rate: 2.153E-05 | global batch size: 256 | lm loss: 2.926977E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.540 | TFLOPs: 28.83 | 7: iteration 20310/ 21553 | consumed samples: 5199360 | consumed tokens: 10648289280 | elapsed time per iteration (s): 0.32 | learning rate: 2.150E-05 | global batch size: 256 | lm loss: 2.927634E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 806.874 | TFLOPs: 28.25 | 7: iteration 20320/ 21553 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 0.31 | learning rate: 2.148E-05 | global batch size: 256 | lm loss: 2.954128E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.177 | TFLOPs: 29.17 | 7: iteration 20330/ 21553 | consumed samples: 5204480 | consumed tokens: 10658775040 | elapsed time per iteration (s): 0.30 | learning rate: 2.146E-05 | global batch size: 256 | lm loss: 2.967989E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 839.671 | TFLOPs: 29.39 | 7: iteration 20340/ 21553 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 0.31 | learning rate: 2.143E-05 | global batch size: 256 | lm loss: 2.967484E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 830.723 | TFLOPs: 29.08 | 7: iteration 20350/ 21553 | consumed samples: 5209600 | consumed tokens: 10669260800 | elapsed time per iteration (s): 0.31 | learning rate: 2.141E-05 | global batch size: 256 | lm loss: 2.943003E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.244 | TFLOPs: 29.20 | 7: iteration 20360/ 21553 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 0.31 | learning rate: 2.138E-05 | global batch size: 256 | lm loss: 2.923549E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.772 | 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iterations: 0 | samples per second: 847.123 | TFLOPs: 29.66 | 7: iteration 20400/ 21553 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 0.31 | learning rate: 2.129E-05 | global batch size: 256 | lm loss: 2.951824E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 834.847 | TFLOPs: 29.23 | 7: iteration 20410/ 21553 | consumed samples: 5224960 | consumed tokens: 10700718080 | elapsed time per iteration (s): 0.33 | learning rate: 2.127E-05 | global batch size: 256 | lm loss: 2.913027E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 784.973 | TFLOPs: 27.48 | 7: iteration 20420/ 21553 | consumed samples: 5227520 | consumed tokens: 10705960960 | elapsed time per iteration (s): 0.32 | learning rate: 2.125E-05 | global batch size: 256 | lm loss: 2.920920E+00 | grad norm: 0.356 | num zeros: 0.0 | 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iteration 21000/ 21553 | consumed samples: 5376000 | consumed tokens: 11010048000 | elapsed time per iteration (s): 0.31 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.937964E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.991 | TFLOPs: 29.20 | 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 21000 | lm loss value: 2.941766E+00 | lm loss PPL: 1.894928E+01 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 21000 to checkpoints_146moscareap 0: [2022-11-29 18:56:55,401] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21000 is begin to save! 0: [2022-11-29 18:56:55,407] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step21000/layer_01-model_00-model_states.pt... 0: 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checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:56:55,801] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 18:56:55,801] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 18:56:55,801] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 3: [2022-11-29 18:56:55,801] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 1: [2022-11-29 18:56:55,801] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:56:55,802] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint 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checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:56:55,803] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-29 18:56:55,803] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 0: [2022-11-29 18:56:55,803] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-29 18:56:55,803] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21000 is ready now! 2: [2022-11-29 18:56:55,803] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step21000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:56:55,803] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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samples: 5378560 | consumed tokens: 11015290880 | elapsed time per iteration (s): 0.36 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 2.917549E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 708.059 | TFLOPs: 24.79 | 7: iteration 21020/ 21553 | consumed samples: 5381120 | consumed tokens: 11020533760 | elapsed time per iteration (s): 0.31 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 2.940940E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.936 | TFLOPs: 29.12 | 7: iteration 21030/ 21553 | consumed samples: 5383680 | consumed tokens: 11025776640 | elapsed time per iteration (s): 0.31 | learning rate: 2.027E-05 | global batch size: 256 | lm loss: 2.950849E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 822.845 | TFLOPs: 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iterations: 0 | samples per second: 843.573 | TFLOPs: 29.53 | 7: iteration 21070/ 21553 | consumed samples: 5393920 | consumed tokens: 11046748160 | elapsed time per iteration (s): 0.32 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.933592E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 794.883 | TFLOPs: 27.83 | 7: iteration 21080/ 21553 | consumed samples: 5396480 | consumed tokens: 11051991040 | elapsed time per iteration (s): 0.31 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.966691E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.904 | TFLOPs: 28.84 | 7: iteration 21090/ 21553 | consumed samples: 5399040 | consumed tokens: 11057233920 | elapsed time per iteration (s): 0.31 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 2.963936E+00 | grad norm: 0.298 | num zeros: 0.0 | 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2.016E-05 | global batch size: 256 | lm loss: 2.933740E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 829.278 | TFLOPs: 29.03 | 7: iteration 21160/ 21553 | consumed samples: 5416960 | consumed tokens: 11093934080 | elapsed time per iteration (s): 0.32 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.931449E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 808.598 | TFLOPs: 28.31 | 7: iteration 21170/ 21553 | consumed samples: 5419520 | consumed tokens: 11099176960 | elapsed time per iteration (s): 0.31 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.962052E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 826.888 | TFLOPs: 28.95 | 7: iteration 21180/ 21553 | consumed samples: 5422080 | consumed tokens: 11104419840 | elapsed 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2.936220E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.420 | TFLOPs: 28.97 | 0: [after training is done] datetime: 2022-11-29 18:59:46 0: saving checkpoint at iteration 21553 to checkpoints_146moscareap 7: ------------------------------------------------------------------------------------------------------------ 7: valid loss at the end of training for val data | lm loss value: 2.839046E+00 | lm loss PPL: 1.709944E+01 | 7: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-29 18:59:46,988] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step21553 is begin to save! 0: [2022-11-29 18:59:46,991] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146moscareap/global_step21553/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:59:47,089] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 2: [2022-11-29 18:59:47,425] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 6: [2022-11-29 18:59:47,425] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-29 18:59:47,425] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 3: [2022-11-29 18:59:47,426] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:59:47,426] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 18:59:47,426] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint 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checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-29 18:59:47,428] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 2: [2022-11-29 18:59:47,428] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-29 18:59:47,428] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 7: [2022-11-29 18:59:47,428] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-29 18:59:47,428] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 18:59:47,428] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint 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checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 1: [2022-11-29 18:59:47,430] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 5: [2022-11-29 18:59:47,430] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 2: [2022-11-29 18:59:47,430] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:59:47,430] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 2: [2022-11-29 18:59:47,431] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-29 18:59:47,431] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 18:59:47,439] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 4: [2022-11-29 18:59:47,439] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:59:47,439] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 18:59:47,439] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 4: [2022-11-29 18:59:47,439] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:59:47,452] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 18:59:47,452] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 0: [2022-11-29 18:59:47,459] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146moscareap/global_step21553/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 18:59:47,459] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step21553 is ready now! 0: successfully saved checkpoint at iteration 21553 to checkpoints_146moscareap 7: ------------------------------------------------------------------------------------------------------------ 7: test loss at the end of training for test data | lm loss value: 2.841546E+00 | lm loss PPL: 1.714224E+01 | 7: ------------------------------------------------------------------------------------------------------------ END 2085658: Tue Nov 29 18:59:58 EET 2022