Model parameters: d_model 1280 ffw_size 5120 kv_size 128 n_heads 10 n_layers 18 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 18 --hidden-size 1280 --num-attention-heads 10 --kv-channels 128 --ffn-hidden-size 5120 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 1_922_149 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-421moscar --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 1_922_149 --lr-warmup-samples 19_221 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_421moscar --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_421moscar --load checkpoints_421moscar --data-path /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2085607.json --zero-stage 0 START 2085607: Tue Nov 29 16:52:43 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 47.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 42.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 40.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 45.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 39.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 48.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 35.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= 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 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 38.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 48.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 40.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 45.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 42.0c 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 47.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 49.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 38.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 39.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 39.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 45.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 4: Launching on nid007221 (4/8), master nid005655 port 9999, GPUs 8, CUDA: True 7: Launching on nid007493 (7/8), master nid005655 port 9999, GPUs 8, CUDA: True 3: Launching on nid006698 (3/8), master nid005655 port 9999, GPUs 8, CUDA: True 6: Launching on nid007362 (6/8), master nid005655 port 9999, GPUs 8, CUDA: True 0: Launching on nid005655 (0/8), master nid005655 port 9999, GPUs 8, CUDA: True 5: Launching on nid007222 (5/8), master nid005655 port 9999, GPUs 8, CUDA: True 1: Launching on nid005958 (1/8), master nid005655 port 9999, GPUs 8, CUDA: True 2: Launching on nid006681 (2/8), master nid005655 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/2085607.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 ................................. 5120 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 ..................................... 1280 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-421moscar 0: kv_channels ..................................... 128 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_421moscar 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 ................................ 1922149 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 19221 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 ............................. 10 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 18 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: retriever_report_topk_accuracies ................ [] 0: retriever_score_scaling ......................... False 0: retriever_seq_length ............................ 256 0: reweight_loss_based_on_position_frequency ....... False 0: sample_rate ..................................... 1.0 0: save ............................................ checkpoints_421moscar 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_421moscar 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 ................................... 1922149 0: train_tokens .................................... None 0: train_weighted_split_paths ...................... None 0: train_weighted_split_paths_path ................. None 0: universal_checkpoint ............................ False 0: use_bnb_optimizer ............................... False 0: use_checkpoint_lr_scheduler ..................... False 0: use_contiguous_buffers_in_ddp ................... True 0: use_cpu_initialization .......................... None 0: use_one_sent_docs ............................... False 0: use_pin_memory .................................. False 0: valid_num_workers ............................... 2 0: valid_weighted_split_names ...................... None 0: valid_weighted_split_paths ...................... None 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... None 0: valid_weighted_split_weights .................... None 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 64 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2022-11-29 16:53:04,954] [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: 0.104 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.cuda.o scaled_upper_triang_masked_softmax_hip.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: [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: [1/1] c++ layer_norm_hip_kernel.cuda.o layer_norm_cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o fused_mix_prec_layer_norm_cuda.so 0: >>> done with compiling and loading fused kernels. Compilation time: 17.879 seconds 0: time to initialize megatron (seconds): -25.498 0: [after megatron is initialized] datetime: 2022-11-29 16:53:26 0: building GPT model ... 0: [2022-11-29 16:53:26,556] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-29 16:53:26,557] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.0 GB Max_CA 0 GB 0: [2022-11-29 16:53:26,557] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 40.89 GB, percent = 8.1% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63} 0: [2022-11-29 16:53:28,558] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=25 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: undo 0: 22: MixedFusedLayerNorm 0: 23: EmbeddingPipe 0: 24: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-29 16:53:28,714] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-29 16:53:28,714] [INFO] [utils.py:828:see_memory_usage] MA 0.79 GB Max_MA 0.79 GB CA 0.86 GB Max_CA 1 GB 0: [2022-11-29 16:53:28,714] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 40.91 GB, percent = 8.1% 0: setting training iterations to 7508 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-29 16:53:28,716] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-29 16:53:41,217] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-29 16:53:41,217] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-29 16:53:41,217] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-29 16:53:41,223] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-29 16:53:41,223] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-29 16:53:41,265] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-29 16:53:41,266] [INFO] [utils.py:828:see_memory_usage] MA 0.78 GB Max_MA 0.79 GB CA 0.88 GB Max_CA 1 GB 0: [2022-11-29 16:53:41,266] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.57 GB, percent = 8.3% 1: ninja: no work to do. 1: Time to load utils op: 0.2361443042755127 seconds 0: Time to load utils op: 0.2090761661529541 seconds 0: [2022-11-29 16:53:41,512] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-29 16:53:41,512] [INFO] [utils.py:828:see_memory_usage] MA 0.78 GB Max_MA 0.78 GB CA 0.88 GB Max_CA 1 GB 0: [2022-11-29 16:53:41,513] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.57 GB, percent = 8.3% 0: [2022-11-29 16:53:41,583] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2022-11-29 16:53:41,583] [INFO] [utils.py:828:see_memory_usage] MA 1.68 GB Max_MA 1.68 GB CA 2.21 GB Max_CA 2 GB 0: [2022-11-29 16:53:41,584] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.58 GB, percent = 8.3% 0: ninja: no work to do. 0: [2022-11-29 16:53:41,614] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-29 16:53:41,615] [INFO] [utils.py:828:see_memory_usage] MA 1.68 GB Max_MA 1.68 GB CA 2.21 GB Max_CA 2 GB 0: [2022-11-29 16:53:41,615] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.58 GB, percent = 8.3% 0: Time to load utils op: 0.12143182754516602 seconds 1: Time to load utils op: 0.00048828125 seconds 0: Time to load utils op: 0.0005598068237304688 seconds 0: [2022-11-29 16:53:41,648] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-29 16:53:41,649] [INFO] [utils.py:828:see_memory_usage] MA 2.38 GB Max_MA 2.38 GB CA 3.23 GB Max_CA 3 GB 0: [2022-11-29 16:53:41,649] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.58 GB, percent = 8.3% 2: Time to load utils op: 0.410921573638916 seconds 5: Time to load utils op: 0.41174793243408203 seconds 3: Time to load utils op: 0.41187047958374023 seconds 7: Time to load utils op: 0.41039466857910156 seconds 0: [2022-11-29 16:53:41,680] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-29 16:53:41,681] [INFO] [utils.py:828:see_memory_usage] MA 2.38 GB Max_MA 2.38 GB CA 3.23 GB Max_CA 3 GB 0: [2022-11-29 16:53:41,681] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.6 GB, percent = 8.3% 0: Time to load utils op: 0.2028818130493164 secondsTime to load utils op: 0.20264053344726562 seconds 0: 0: Time to load utils op: 0.20287799835205078 seconds 0: Time to load utils op: 0.20269155502319336 seconds 0: Time to load utils op: 0.20176267623901367 seconds 1: Time to load utils op: 0.20329737663269043 seconds 0: Time to load utils op: 0.20236730575561523 seconds 1: Time to load utils op: 0.2028052806854248 secondsTime to load utils op: 0.20283937454223633 secondsTime to load utils op: 0.20318222045898438 seconds 1: Time to load utils op: 0.20346593856811523 seconds 1: 1: 1: Time to load utils op: 0.20406699180603027 seconds 1: Time to load utils op: 0.20372295379638672 seconds 3: Time to load utils op: 0.20284056663513184 seconds 2: Time to load utils op: 0.20302343368530273 seconds 3: Time to load utils op: 0.20286273956298828 seconds 3: Time to load utils op: 0.20293712615966797 seconds 3: Time to load utils op: 0.20300602912902832 seconds 2: Time to load utils op: 0.20328783988952637 seconds 3: Time to load utils op: 0.20300626754760742 secondsTime to load utils op: 0.2030937671661377 seconds 3: 2: Time to load utils op: 0.20229530334472656 seconds 3: Time to load utils op: 0.20365023612976074 seconds 2: Time to load utils op: 0.20223665237426758 seconds 2: Time to load utils op: 0.20183253288269043 seconds 2: Time to load utils op: 0.20245361328125 seconds 2: Time to load utils op: 0.202239990234375 seconds 7: Time to load utils op: 0.20261168479919434 seconds 7: Time to load utils op: 0.20272040367126465 seconds 7: Time to load utils op: 0.2023329734802246 seconds 7: Time to load utils op: 0.20244860649108887 seconds 7: Time to load utils op: 0.202925443649292 seconds 5: Time to load utils op: 0.20285391807556152 seconds 5: Time to load utils op: 0.20301175117492676 seconds 5: Time to load utils op: 0.2034158706665039 seconds 7: Time to load utils op: 0.20249295234680176 seconds 5: Time to load utils op: 0.20380783081054688 seconds 5: Time to load utils op: 0.20360803604125977 seconds 7: Time to load utils op: 0.20236563682556152 seconds 0: Time to load utils op: 0.00040340423583984375 seconds 0: Time to load utils op: 0.0003647804260253906 seconds 5: Time to load utils op: 0.202681303024292 seconds 1: Time to load utils op: 0.0003364086151123047 seconds 1: Time to load utils op: 0.0004086494445800781 seconds 5: Time to load utils op: 0.2024998664855957 seconds 0: Time to load utils op: 0.0003726482391357422 seconds 1: Time to load utils op: 0.0003147125244140625 seconds 0: [2022-11-29 16:53:41,717] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: Time to load utils op: 0.0003719329833984375 seconds 1: Time to load utils op: 0.0003077983856201172 seconds 0: Time to load utils op: 0.00039649009704589844 seconds 4: Time to load utils op: 0.2108149528503418 secondsTime to load utils op: 0.2108440399169922 seconds 4: 4: Time to load utils op: 0.21083998680114746 seconds 4: Time to load utils op: 0.210845947265625 seconds 4: Time to load utils op: 0.21084833145141602 secondsTime to load utils op: 0.21087384223937988 seconds 4: 4: Time to load utils op: 0.21088910102844238 secondsTime to load utils op: 0.21088290214538574 seconds 4: 0: Time to load utils op: 0.00044417381286621094 seconds 1: Time to load utils op: 0.0003643035888671875 seconds 0: [2022-11-29 16:53:41,718] [INFO] [utils.py:828:see_memory_usage] MA 2.38 GB Max_MA 2.38 GB CA 3.23 GB Max_CA 3 GB 1: Time to load utils op: 0.0003597736358642578 seconds 0: [2022-11-29 16:53:41,718] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.6 GB, percent = 8.3% 1: Time to load utils op: 0.0003857612609863281 seconds 6: Time to load utils op: 0.21180105209350586 seconds 6: Time to load utils op: 0.21180033683776855 seconds 6: Time to load utils op: 0.21181988716125488 seconds 6: Time to load utils op: 0.21182680130004883 seconds 6: Time to load utils op: 0.21184158325195312 seconds 6: Time to load 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[utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-29 16:53:41,762] [INFO] [utils.py:828:see_memory_usage] MA 2.38 GB Max_MA 2.38 GB CA 3.23 GB Max_CA 3 GB 0: [2022-11-29 16:53:41,762] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.72 GB, percent = 8.3% 6: Time to load utils op: 0.0007486343383789062 seconds 6: Time to load utils op: 0.0007789134979248047 seconds 6: Time to load utils op: 0.000942230224609375 secondsTime to load utils op: 0.0009853839874267578 seconds 6: 6: Time to load utils op: 0.001138925552368164 seconds 6: Time to load utils op: 0.0012326240539550781 seconds 6: Time to load utils op: 0.001117706298828125 seconds 6: Time to load utils op: 0.0013277530670166016 seconds 4: Time to load utils op: 0.0008478164672851562 seconds 4: Time to load utils op: 0.0011157989501953125 seconds 4: Time to load utils op: 0.0012993812561035156 seconds 4: Time to load utils op: 0.0013990402221679688 seconds 4: Time to load utils op: 0.0014119148254394531 seconds 4: Time to load utils op: 0.0014052391052246094 seconds 4: Time to load utils op: 0.0014026165008544922 seconds 4: Time to load utils op: 0.0014007091522216797 seconds 0: [2022-11-29 16:53:41,803] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-29 16:53:41,803] [INFO] [utils.py:828:see_memory_usage] MA 2.43 GB Max_MA 2.43 GB CA 3.23 GB Max_CA 3 GB 0: [2022-11-29 16:53:41,803] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.72 GB, percent = 8.3% 0: [2022-11-29 16:53:41,836] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-29 16:53:41,836] [INFO] [utils.py:828:see_memory_usage] MA 2.43 GB Max_MA 2.43 GB CA 3.23 GB Max_CA 3 GB 0: [2022-11-29 16:53:41,836] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 41.72 GB, percent = 8.3% 0: [2022-11-29 16:53:41,836] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-29 16:53:41,837] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-29 16:53:41,837] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-29 16:53:41,837] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: [2022-11-29 16:53:41,837] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-29 16:53:41,837] [INFO] [config.py:1011:print] activation_checkpointing_config { 0: "partition_activations": false, 0: "contiguous_memory_optimization": false, 0: "cpu_checkpointing": false, 0: "number_checkpoints": null, 0: "synchronize_checkpoint_boundary": false, 0: "profile": false 0: } 0: [2022-11-29 16:53:41,837] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-29 16:53:41,837] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-29 16:53:41,837] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] autotuning_config ............ { 0: "enabled": false, 0: "start_step": null, 0: "end_step": null, 0: "metric_path": null, 0: "arg_mappings": null, 0: "metric": "throughput", 0: "model_info": null, 0: "results_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_results", 0: "exps_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_exps", 0: "overwrite": true, 0: "fast": true, 0: "start_profile_step": 3, 0: "end_profile_step": 5, 0: "tuner_type": "gridsearch", 0: "tuner_early_stopping": 5, 0: "tuner_num_trials": 50, 0: "model_info_path": null, 0: "mp_size": 1, 0: "max_train_batch_size": null, 0: "min_train_batch_size": 1, 0: "max_train_micro_batch_size_per_gpu": 1.024000e+03, 0: "min_train_micro_batch_size_per_gpu": 1, 0: "num_tuning_micro_batch_sizes": 3 0: } 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_pa 0: rameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] flops_profiler_config ........ { 0: "enabled": false, 0: "profile_step": 1, 0: "module_depth": -1, 0: "top_modules": 1, 0: "detailed": true, 0: "output_file": null 0: } 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-29 16:53:41,838] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] nebula_config ................ { 0: "enabled": false, 0: "persistent_storage_path": null, 0: "persistent_time_interval": 100, 0: "num_of_version_in_retention": 2, 0: "enable_nebula_load": true, 0: "load_path": null 0: } 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-29 16:53:41,839] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-29 16:53:41,839] [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: 0.00039124488830566406 seconds 0: [2022-11-29 16:53:41,840] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2022-11-29 16:53:41,866] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=25 [0, 25) STAGE_PARAMS=421207040 (421.207M) TOTAL_PARAMS=421207040 (421.207M) UNIQUE_PARAMS=421207040 (421.207M) 6: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/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_421moscar 0: will not load any checkpoints and will start from random 4: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,871] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-29 16:53:41,872] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,873] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-29 16:53:41,873] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_421moscar/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: 7.27 0: estimated model parameters: 0.42120704 0: estimated model parameters without embeddings: 0.35419648 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-29 16:53:42 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 1922149 0: validation: 2048 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 0.019735 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): 31.309405 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): 7.720821 0: > building shuffle index with split [0, 262636457) and [262636457, 262636457) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 16.104907 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_1922149ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_1922149ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_train_indexmap_1922149ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.382 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): 1.171745 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): 0.415211 0: > building shuffle index with split [0, 13852049) and [13852049, 13852049) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.476429 0: > loading doc-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_2048ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_2048ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/oscar_megatron/gpt2tok_oscar_text_document_valid_indexmap_2048ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.036 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 0.033 seconds 0: total number of samples: 276852 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-29 16:55:08 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: 15534.67 | train/valid/test-data-iterators-setup: 86357.56 0: [000-000] 0.4212B / 0.3542B 0: [before the start of training step] datetime: 2022-11-29 16:55:08 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 4873.00537109375 | max allocated: 27817.7919921875 | reserved: 29816.0 | max reserved: 29816.0 7: iteration 10/ 7508 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.74 | learning rate: 2.664E-05 | global batch size: 256 | lm loss: 1.011599E+01 | grad norm: 3.685 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 147.190 | TFLOPs: 14.03 | 7: iteration 20/ 7508 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.58 | learning rate: 5.328E-05 | global batch size: 256 | lm loss: 9.053841E+00 | grad norm: 1.769 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.119 | TFLOPs: 41.96 | 7: iteration 30/ 7508 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.58 | learning rate: 7.991E-05 | global batch size: 256 | lm loss: 8.513687E+00 | grad norm: 1.866 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.471 | TFLOPs: 41.90 | 7: iteration 40/ 7508 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.58 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 7.765112E+00 | grad norm: 1.513 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.806 | TFLOPs: 42.41 | 7: iteration 50/ 7508 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.58 | learning rate: 1.332E-04 | global batch size: 256 | lm loss: 7.414233E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.062 | TFLOPs: 41.96 | 7: iteration 60/ 7508 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.61 | learning rate: 1.598E-04 | global batch size: 256 | lm loss: 7.184543E+00 | grad norm: 1.678 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 418.910 | TFLOPs: 39.94 | 7: iteration 70/ 7508 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.59 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 7.002280E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 437.493 | TFLOPs: 41.71 | 7: iteration 80/ 7508 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.57 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.871595E+00 | grad norm: 1.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.537 | TFLOPs: 42.86 | 7: iteration 90/ 7508 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.57 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.669206E+00 | grad norm: 0.784 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.072 | TFLOPs: 42.72 | 7: iteration 100/ 7508 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.58 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.565200E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.211 | TFLOPs: 42.26 | 7: iteration 110/ 7508 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.58 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.461543E+00 | grad norm: 0.938 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.867 | TFLOPs: 42.13 | 7: iteration 120/ 7508 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.59 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.419253E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 430.799 | TFLOPs: 41.07 | 7: iteration 130/ 7508 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.59 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.299912E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.871 | TFLOPs: 41.46 | 7: iteration 140/ 7508 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.60 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.251768E+00 | grad norm: 0.574 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 428.042 | TFLOPs: 40.81 | 7: iteration 150/ 7508 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.60 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.175555E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 426.924 | TFLOPs: 40.70 | 7: iteration 160/ 7508 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.56 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.163150E+00 | grad norm: 0.682 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.840 | TFLOPs: 43.46 | 7: iteration 170/ 7508 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.58 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.106737E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.946 | TFLOPs: 42.33 | 7: iteration 180/ 7508 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.57 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.059523E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.168 | TFLOPs: 42.92 | 7: iteration 190/ 7508 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.58 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.033111E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.521 | TFLOPs: 42.00 | 7: iteration 200/ 7508 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.59 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.008368E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 433.448 | TFLOPs: 41.32 | 7: iteration 210/ 7508 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.57 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.931927E+00 | grad norm: 0.789 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.941 | TFLOPs: 42.61 | 7: iteration 220/ 7508 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.56 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.913456E+00 | grad norm: 0.729 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.605 | TFLOPs: 43.25 | 7: iteration 230/ 7508 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.57 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.841859E+00 | grad norm: 0.607 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.295 | TFLOPs: 42.84 | 7: iteration 240/ 7508 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.59 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.778090E+00 | grad norm: 0.926 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 430.330 | TFLOPs: 41.03 | 7: iteration 250/ 7508 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.57 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.808302E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.230 | TFLOPs: 42.64 | 7: iteration 260/ 7508 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.57 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.777892E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.121 | TFLOPs: 42.53 | 7: iteration 270/ 7508 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.57 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.692069E+00 | grad norm: 0.938 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.248 | TFLOPs: 42.54 | 7: iteration 280/ 7508 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.61 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.695877E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 422.650 | TFLOPs: 40.30 | 7: iteration 290/ 7508 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.58 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.641705E+00 | grad norm: 1.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.808 | TFLOPs: 41.84 | 7: iteration 300/ 7508 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.58 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.596622E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.075 | TFLOPs: 41.96 | 7: iteration 310/ 7508 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.59 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 5.545544E+00 | grad norm: 0.903 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.855 | TFLOPs: 41.46 | 7: iteration 320/ 7508 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.58 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.523584E+00 | grad norm: 0.808 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.563 | TFLOPs: 41.81 | 7: iteration 330/ 7508 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.59 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 5.511876E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 430.342 | TFLOPs: 41.03 | 7: iteration 340/ 7508 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.58 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.458582E+00 | grad norm: 0.741 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.602 | TFLOPs: 42.01 | 7: iteration 350/ 7508 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.58 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 5.413711E+00 | grad norm: 0.780 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.495 | TFLOPs: 42.28 | 7: iteration 360/ 7508 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.57 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 5.386201E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.442 | TFLOPs: 42.66 | 7: iteration 370/ 7508 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.57 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 5.353096E+00 | grad norm: 0.735 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.181 | TFLOPs: 42.63 | 7: iteration 380/ 7508 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.58 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 5.280307E+00 | grad norm: 0.691 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.923 | TFLOPs: 42.23 | 7: iteration 390/ 7508 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.58 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 5.270271E+00 | grad norm: 1.041 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.703 | TFLOPs: 42.02 | 7: iteration 400/ 7508 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.57 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 5.233796E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.383 | TFLOPs: 42.75 | 7: iteration 410/ 7508 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.58 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 5.195114E+00 | grad norm: 0.883 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.020 | TFLOPs: 42.24 | 7: iteration 420/ 7508 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.56 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 5.177555E+00 | grad norm: 0.558 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.197 | TFLOPs: 43.21 | 7: iteration 430/ 7508 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.58 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 5.108966E+00 | grad norm: 0.797 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.639 | TFLOPs: 42.01 | 7: iteration 440/ 7508 | consumed samples: 112640 | consumed tokens: 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7508 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.59 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 4.915062E+00 | grad norm: 0.774 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.419 | TFLOPs: 41.61 | 7: iteration 510/ 7508 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.58 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 4.881478E+00 | grad norm: 0.787 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.474 | TFLOPs: 41.99 | 7: iteration 520/ 7508 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.58 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 4.800521E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.852 | TFLOPs: 42.03 | 7: iteration 530/ 7508 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.58 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 4.776206E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.718 | TFLOPs: 42.11 | 7: iteration 540/ 7508 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.57 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 4.777618E+00 | grad norm: 0.879 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.964 | TFLOPs: 42.80 | 7: iteration 550/ 7508 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.58 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 4.710006E+00 | grad norm: 1.024 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.560 | TFLOPs: 42.10 | 7: iteration 560/ 7508 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.58 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 4.669544E+00 | grad norm: 0.827 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.986 | TFLOPs: 42.42 | 7: iteration 570/ 7508 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.58 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 4.604503E+00 | grad norm: 0.834 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.013 | TFLOPs: 41.76 | 7: iteration 580/ 7508 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.58 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 4.554647E+00 | grad norm: 0.900 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.934 | TFLOPs: 42.32 | 7: iteration 590/ 7508 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.58 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 4.522474E+00 | grad norm: 0.929 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.405 | TFLOPs: 41.80 | 7: iteration 600/ 7508 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.58 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 4.464238E+00 | grad norm: 0.727 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.312 | TFLOPs: 42.36 | 7: iteration 610/ 7508 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.57 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 4.429767E+00 | grad norm: 0.621 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.939 | TFLOPs: 42.52 | 7: iteration 620/ 7508 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.57 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 4.390846E+00 | grad norm: 0.782 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.994 | TFLOPs: 42.90 | 7: iteration 630/ 7508 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.57 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 4.368159E+00 | grad norm: 0.715 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.051 | TFLOPs: 42.62 | 7: iteration 640/ 7508 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.57 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 4.350128E+00 | grad norm: 0.710 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.690 | TFLOPs: 42.59 | 7: iteration 650/ 7508 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.56 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 4.297277E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.806 | TFLOPs: 43.36 | 7: iteration 660/ 7508 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.59 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 4.286876E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.324 | TFLOPs: 41.60 | 7: iteration 670/ 7508 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.56 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 4.241048E+00 | grad norm: 0.772 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.875 | TFLOPs: 43.27 | 7: iteration 680/ 7508 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.57 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 4.234269E+00 | grad norm: 0.618 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.750 | TFLOPs: 43.16 | 7: iteration 690/ 7508 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.58 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 4.213050E+00 | grad norm: 0.747 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.853 | TFLOPs: 41.84 | 7: iteration 700/ 7508 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.57 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 4.215577E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.727 | TFLOPs: 42.59 | 7: iteration 710/ 7508 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.58 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 4.161447E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.374 | TFLOPs: 41.89 | 7: iteration 720/ 7508 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.58 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 4.169796E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.100 | TFLOPs: 42.05 | 7: iteration 730/ 7508 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.58 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 4.147791E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.940 | TFLOPs: 42.23 | 7: iteration 740/ 7508 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.58 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 4.135317E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.837 | TFLOPs: 42.03 | 7: iteration 750/ 7508 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.57 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 4.097876E+00 | grad norm: 0.717 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.772 | TFLOPs: 42.50 | 7: iteration 760/ 7508 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.57 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 4.095400E+00 | grad norm: 0.524 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.026 | TFLOPs: 42.71 | 7: iteration 770/ 7508 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.58 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 4.085460E+00 | grad norm: 1.118 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.833 | TFLOPs: 42.31 | 7: iteration 780/ 7508 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.57 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 4.091854E+00 | grad norm: 0.678 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.924 | TFLOPs: 42.80 | 7: iteration 790/ 7508 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.57 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 4.060580E+00 | grad norm: 0.566 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.607 | TFLOPs: 42.58 | 7: iteration 800/ 7508 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.59 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 4.066114E+00 | grad norm: 0.586 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 435.084 | TFLOPs: 41.48 | 7: iteration 810/ 7508 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.58 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 4.026172E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.314 | TFLOPs: 42.36 | 7: iteration 820/ 7508 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.57 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.986280E+00 | grad norm: 0.638 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.573 | TFLOPs: 42.96 | 7: iteration 830/ 7508 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.56 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 4.052116E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.615 | TFLOPs: 43.44 | 7: iteration 840/ 7508 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.57 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 4.058575E+00 | grad norm: 0.893 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.768 | TFLOPs: 42.59 | 7: iteration 850/ 7508 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.57 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 4.007571E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.926 | TFLOPs: 42.61 | 7: iteration 860/ 7508 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.56 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.974209E+00 | grad norm: 0.606 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.054 | TFLOPs: 43.29 | 7: iteration 870/ 7508 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.58 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.963317E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.828 | TFLOPs: 42.12 | 7: iteration 880/ 7508 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.58 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.937642E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 437.711 | TFLOPs: 41.73 | 7: iteration 890/ 7508 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.57 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.921901E+00 | grad norm: 0.476 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.620 | TFLOPs: 42.68 | 7: iteration 900/ 7508 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.56 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.957717E+00 | grad norm: 0.440 | 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: 457.314 | TFLOPs: 43.60 | 7: iteration 940/ 7508 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.59 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 3.857352E+00 | grad norm: 0.447 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.842 | TFLOPs: 41.65 | 7: iteration 950/ 7508 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.57 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.869463E+00 | grad norm: 0.665 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.420 | TFLOPs: 42.85 | 7: iteration 960/ 7508 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.57 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.896463E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.671 | TFLOPs: 43.16 | 7: iteration 970/ 7508 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.57 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 3.889107E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.743 | TFLOPs: 42.50 | 7: iteration 980/ 7508 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.57 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 3.865255E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.843 | TFLOPs: 42.51 | 7: iteration 990/ 7508 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.59 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.826718E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.324 | TFLOPs: 41.41 | 7: iteration 1000/ 7508 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.58 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 3.850665E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.375 | TFLOPs: 41.79 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 3.699024E+00 | lm loss PPL: 4.040786E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_421moscar 0: [2022-11-29 17:04:58,769] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-29 17:04:58,789] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:04:58,937] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:04:58,938] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step1000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:04:58,979] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:04:58,980] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step1000/layer_04-model_00-model_states.pt... 0: [2022-11-29 17:04:59,022] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/layer_04-model_00-model_states.pt. 0: [2022-11-29 17:04:59,022] [INFO] 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checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:04:59,821] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:04:59,821] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-29 17:04:59,821] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:04:59,821] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:04:59,821] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 17:04:59,821] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:04:59,821] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 3: [2022-11-29 17:04:59,821] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:04:59,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 17:04:59,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-29 17:04:59,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-29 17:04:59,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 17:04:59,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,838] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-29 17:04:59,845] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 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7: [2022-11-29 17:04:59,877] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 7: [2022-11-29 17:04:59,877] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2022-11-29 17:04:59,880] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:04:59,880] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:04:59,880] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:04:59,880] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:04:59,880] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:04:59,880] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt 4: [2022-11-29 17:04:59,880] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:04:59,880] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step1000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-29 17:04:59,880] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2022-11-29 17:04:59,880] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 4: [2022-11-29 17:04:59,880] [INFO] 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tokens: 534773760 | elapsed time per iteration (s): 0.58 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.816032E+00 | grad norm: 0.510 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.139 | TFLOPs: 41.87 | 7: iteration 1030/ 7508 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.57 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.804195E+00 | grad norm: 0.390 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.412 | TFLOPs: 42.56 | 7: iteration 1040/ 7508 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.58 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.772643E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.356 | TFLOPs: 41.89 | 7: iteration 1050/ 7508 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.57 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.783342E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.053 | TFLOPs: 42.62 | 7: iteration 1060/ 7508 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.58 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.792322E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.583 | TFLOPs: 42.29 | 7: iteration 1070/ 7508 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.58 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.759330E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.604 | TFLOPs: 42.20 | 7: iteration 1080/ 7508 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.58 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.760675E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.830 | TFLOPs: 42.31 | 7: iteration 1090/ 7508 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.57 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.764798E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.255 | TFLOPs: 42.83 | 7: iteration 1100/ 7508 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.57 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.754591E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.946 | TFLOPs: 42.80 | 7: iteration 1110/ 7508 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.57 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.712647E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.615 | TFLOPs: 43.06 | 7: iteration 1120/ 7508 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.56 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.725897E+00 | grad norm: 0.567 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.352 | TFLOPs: 43.51 | 7: iteration 1130/ 7508 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.59 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.721237E+00 | grad norm: 0.554 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.580 | TFLOPs: 41.62 | 7: iteration 1140/ 7508 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.58 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.730838E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.419 | TFLOPs: 42.28 | 7: iteration 1150/ 7508 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.58 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.708297E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.037 | TFLOPs: 42.43 | 7: iteration 1160/ 7508 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.56 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.726886E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.267 | TFLOPs: 43.21 | 7: iteration 1170/ 7508 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.57 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.715210E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.032 | TFLOPs: 43.00 | 7: iteration 1180/ 7508 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.58 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.702241E+00 | grad norm: 0.778 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.730 | TFLOPs: 42.30 | 7: iteration 1190/ 7508 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.57 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 3.773890E+00 | grad norm: 0.673 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.564 | TFLOPs: 42.48 | 7: iteration 1200/ 7508 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.59 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.708602E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 430.952 | TFLOPs: 41.09 | 7: iteration 1210/ 7508 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.58 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.686135E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.427 | TFLOPs: 41.80 | 7: iteration 1220/ 7508 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.57 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.687551E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.882 | TFLOPs: 42.70 | 7: iteration 1230/ 7508 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.59 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 3.679284E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.735 | TFLOPs: 41.64 | 7: iteration 1240/ 7508 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.57 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 3.702387E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.980 | TFLOPs: 42.90 | 7: iteration 1250/ 7508 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.59 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.672065E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.496 | TFLOPs: 41.42 | 7: iteration 1260/ 7508 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.57 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 3.673933E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.152 | TFLOPs: 43.11 | 7: iteration 1270/ 7508 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.57 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 3.668316E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.508 | TFLOPs: 42.86 | 7: iteration 1280/ 7508 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.57 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 3.656165E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.427 | TFLOPs: 42.47 | 7: iteration 1290/ 7508 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.58 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 3.645383E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.794 | TFLOPs: 42.41 | 7: iteration 1300/ 7508 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.57 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 3.661362E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.224 | TFLOPs: 42.73 | 7: iteration 1310/ 7508 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.58 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.645021E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.091 | TFLOPs: 42.34 | 7: iteration 1320/ 7508 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.57 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 3.638952E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.232 | TFLOPs: 43.02 | 7: iteration 1330/ 7508 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.57 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.611470E+00 | grad norm: 0.556 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.103 | TFLOPs: 42.63 | 7: iteration 1340/ 7508 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.56 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 3.611716E+00 | grad norm: 0.614 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.158 | TFLOPs: 43.30 | 7: iteration 1350/ 7508 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.57 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 3.616335E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.481 | TFLOPs: 42.76 | 7: iteration 1360/ 7508 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.58 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 3.610891E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.211 | TFLOPs: 42.26 | 7: iteration 1370/ 7508 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.57 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 3.594296E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.298 | TFLOPs: 42.64 | 7: iteration 1380/ 7508 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.56 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 3.590308E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.505 | TFLOPs: 43.43 | 7: iteration 1390/ 7508 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.58 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.587461E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.684 | TFLOPs: 42.11 | 7: iteration 1400/ 7508 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.57 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 3.603316E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.409 | TFLOPs: 42.46 | 7: iteration 1410/ 7508 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.56 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 3.584620E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.623 | TFLOPs: 43.72 | 7: iteration 1420/ 7508 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.56 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 3.566558E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.828 | TFLOPs: 43.55 | 7: iteration 1430/ 7508 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.57 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 3.608897E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.551 | TFLOPs: 42.57 | 7: iteration 1440/ 7508 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.58 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 3.569450E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.350 | TFLOPs: 42.08 | 7: iteration 1450/ 7508 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.57 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 3.590588E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.891 | TFLOPs: 42.51 | 7: iteration 1460/ 7508 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.58 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 3.573000E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.960 | TFLOPs: 41.95 | 7: iteration 1470/ 7508 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.57 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 3.583730E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.736 | TFLOPs: 43.07 | 7: iteration 1480/ 7508 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.57 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 3.590928E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.241 | TFLOPs: 42.93 | 7: iteration 1490/ 7508 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.57 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 3.536751E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.433 | TFLOPs: 43.04 | 7: iteration 1500/ 7508 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.58 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 3.552866E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.641 | TFLOPs: 42.30 | 7: iteration 1510/ 7508 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.56 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 3.569149E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.129 | TFLOPs: 43.20 | 7: iteration 1520/ 7508 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.56 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 3.539315E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.413 | TFLOPs: 43.32 | 7: iteration 1530/ 7508 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.58 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 3.522298E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.440 | TFLOPs: 42.18 | 7: iteration 1540/ 7508 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.57 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 3.561707E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.607 | TFLOPs: 42.48 | 7: iteration 1550/ 7508 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.56 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 3.519994E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.488 | TFLOPs: 43.33 | 7: iteration 1560/ 7508 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.56 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 3.513391E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.407 | TFLOPs: 43.61 | 7: iteration 1570/ 7508 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.57 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 3.511028E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.323 | TFLOPs: 42.65 | 7: iteration 1580/ 7508 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.56 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 3.486781E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.072 | TFLOPs: 43.39 | 7: iteration 1590/ 7508 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.56 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 3.493272E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.648 | TFLOPs: 43.73 | 7: iteration 1600/ 7508 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.56 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 3.533421E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.666 | TFLOPs: 43.35 | 7: iteration 1610/ 7508 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.56 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 3.502800E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.755 | TFLOPs: 43.26 | 7: iteration 1620/ 7508 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.58 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 3.515357E+00 | grad norm: 0.417 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.885 | TFLOPs: 42.03 | 7: iteration 1630/ 7508 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.56 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 3.515889E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.348 | TFLOPs: 43.41 | 7: iteration 1640/ 7508 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.57 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 3.504137E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.478 | TFLOPs: 42.95 | 7: iteration 1650/ 7508 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.56 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 3.513897E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.653 | TFLOPs: 43.25 | 7: iteration 1660/ 7508 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.56 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.507077E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.115 | TFLOPs: 43.29 | 7: iteration 1670/ 7508 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.56 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.497956E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.960 | TFLOPs: 43.28 | 7: iteration 1680/ 7508 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.56 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.472168E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.715 | TFLOPs: 43.45 | 7: iteration 1690/ 7508 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.57 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 3.511734E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.829 | TFLOPs: 42.50 | 7: iteration 1700/ 7508 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.56 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 3.471716E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.330 | TFLOPs: 43.79 | 7: iteration 1710/ 7508 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.56 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 3.463609E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.627 | TFLOPs: 43.63 | 7: iteration 1720/ 7508 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 0.57 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 3.488567E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.979 | TFLOPs: 42.90 | 7: iteration 1730/ 7508 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.58 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 3.465752E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.154 | TFLOPs: 41.77 | 7: iteration 1740/ 7508 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.57 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 3.478069E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.856 | TFLOPs: 42.79 | 7: iteration 1750/ 7508 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.57 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 3.482950E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.719 | TFLOPs: 43.16 | 7: iteration 1760/ 7508 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.56 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 3.441369E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.049 | TFLOPs: 43.86 | 7: iteration 1770/ 7508 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.56 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 3.462075E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.225 | TFLOPs: 43.21 | 7: iteration 1780/ 7508 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.58 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 3.459929E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.472 | TFLOPs: 42.09 | 7: iteration 1790/ 7508 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.56 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 3.462190E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.296 | TFLOPs: 43.60 | 7: iteration 1800/ 7508 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.56 | learning rate: 1.771E-04 | global batch size: 256 | lm loss: 3.474185E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.782 | TFLOPs: 43.26 | 7: iteration 1810/ 7508 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.56 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 3.452007E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.859 | TFLOPs: 43.46 | 7: iteration 1820/ 7508 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.57 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 3.433862E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.715 | TFLOPs: 43.16 | 7: iteration 1830/ 7508 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.57 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 3.478546E+00 | grad norm: 0.371 | num 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elapsed time per iteration (s): 0.57 | learning rate: 1.732E-04 | global batch size: 256 | lm loss: 3.429270E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.435 | TFLOPs: 43.04 | 7: iteration 1960/ 7508 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.58 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 3.428686E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.651 | TFLOPs: 41.82 | 7: iteration 1970/ 7508 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.57 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 3.427985E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.379 | TFLOPs: 43.13 | 7: iteration 1980/ 7508 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.57 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 3.410099E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.561 | TFLOPs: 42.57 | 7: iteration 1990/ 7508 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.57 | learning rate: 1.721E-04 | global batch size: 256 | lm loss: 3.396257E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.664 | TFLOPs: 43.06 | 0: [2022-11-29 17:14:29,648] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00017182361507925355, 0.00017182361507925355, 0.00017182361507925355], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 7508 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.56 | learning rate: 1.718E-04 | global batch size: 256 | lm loss: 3.404842E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.183 | TFLOPs: 43.49 | 0: steps: 2000 loss: 3.4049 iter time (s): 0.578 samples/sec: 443.265 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 3.297268E+00 | lm loss PPL: 2.703867E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_421moscar 0: [2022-11-29 17:14:29,851] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-29 17:14:29,855] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:14:29,994] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:14:30,822] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-29 17:14:30,822] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-29 17:14:30,822] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2022-11-29 17:14:30,822] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2022-11-29 17:14:30,823] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:14:30,823] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 17:14:30,824] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-29 17:14:30,824] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:14:30,825] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:14:30,825] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:14:30,825] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-29 17:14:30,825] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-29 17:14:30,825] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:14:30,825] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:14:30,828] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:14:30,828] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2022-11-29 17:14:30,828] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:14:30,828] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:14:30,829] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2022-11-29 17:14:30,829] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:14:30,829] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:14:30,829] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2022-11-29 17:14:30,829] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:14:30,829] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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4: [2022-11-29 17:14:30,836] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:14:30,836] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-29 17:14:30,836] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:14:30,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:14:30,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:14:30,838] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:14:30,838] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 17:14:30,822] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:14:30,823] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:14:30,823] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:14:30,823] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:14:30,828] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:14:30,828] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:14:30,828] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:14:30,829] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:14:30,829] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:14:30,829] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:14:30,830] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:14:30,830] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 17:14:30,830] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 3: [2022-11-29 17:14:30,830] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:14:30,830] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2022-11-29 17:14:30,830] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:14:30,866] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:14:30,866] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 17:14:30,866] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:14:30,866] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:14:30,866] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2022-11-29 17:14:30,866] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-29 17:14:30,893] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:14:30,893] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-29 17:14:30,893] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2022-11-29 17:14:30,900] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:14:30,900] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-29 17:14:30,900] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2022-11-29 17:14:30,920] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:14:30,920] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-29 17:14:30,957] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:14:30,957] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step2000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-29 17:14:30,958] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_421moscar 7: time (ms) | save-checkpoint: 1111.34 7: iteration 2010/ 7508 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.69 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 3.390011E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.405 | TFLOPs: 35.12 | 7: iteration 2020/ 7508 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.56 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 3.391814E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.216 | TFLOPs: 43.69 | 7: iteration 2030/ 7508 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.56 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 3.403981E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.006 | TFLOPs: 43.48 | 7: iteration 2040/ 7508 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.58 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 3.371955E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.809 | TFLOPs: 42.12 | 7: iteration 2050/ 7508 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.57 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 3.378664E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.012 | TFLOPs: 43.00 | 7: iteration 2060/ 7508 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.57 | learning rate: 1.701E-04 | global batch size: 256 | lm loss: 3.377085E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.757 | TFLOPs: 42.97 | 7: iteration 2070/ 7508 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.57 | learning rate: 1.699E-04 | global batch size: 256 | lm loss: 3.360523E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.599 | TFLOPs: 43.15 | 7: iteration 2080/ 7508 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.57 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 3.369624E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.205 | TFLOPs: 42.64 | 7: iteration 2090/ 7508 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.56 | learning rate: 1.693E-04 | global batch size: 256 | lm loss: 3.349948E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.153 | TFLOPs: 43.49 | 7: iteration 2100/ 7508 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.57 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 3.372674E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.729 | TFLOPs: 42.69 | 7: iteration 2110/ 7508 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.57 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 3.386343E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.315 | TFLOPs: 42.46 | 7: iteration 2120/ 7508 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.57 | learning rate: 1.684E-04 | global batch size: 256 | lm loss: 3.363240E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.220 | TFLOPs: 42.54 | 7: iteration 2130/ 7508 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.56 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 3.356987E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.122 | TFLOPs: 43.39 | 7: iteration 2140/ 7508 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.57 | learning rate: 1.678E-04 | global batch size: 256 | lm loss: 3.369801E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.570 | TFLOPs: 42.77 | 7: iteration 2150/ 7508 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.58 | learning rate: 1.676E-04 | global batch size: 256 | lm loss: 3.363717E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.463 | TFLOPs: 41.90 | 7: iteration 2160/ 7508 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.59 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 3.386611E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 437.396 | TFLOPs: 41.70 | 7: iteration 2170/ 7508 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.57 | learning rate: 1.670E-04 | global batch size: 256 | lm loss: 3.362263E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.657 | TFLOPs: 42.77 | 7: iteration 2180/ 7508 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.58 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 3.357027E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.800 | TFLOPs: 41.83 | 7: iteration 2190/ 7508 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.56 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 3.356084E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.891 | TFLOPs: 43.27 | 7: iteration 2200/ 7508 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.56 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 3.349191E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.495 | TFLOPs: 43.24 | 7: iteration 2210/ 7508 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.58 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 3.347779E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.625 | TFLOPs: 42.29 | 7: iteration 2220/ 7508 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.57 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 3.353388E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.901 | TFLOPs: 42.80 | 7: iteration 2230/ 7508 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.57 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 3.336145E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.522 | TFLOPs: 42.76 | 7: iteration 2240/ 7508 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.57 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 3.363124E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.295 | TFLOPs: 42.74 | 7: iteration 2250/ 7508 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.56 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 3.347157E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.952 | TFLOPs: 43.47 | 7: iteration 2260/ 7508 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.56 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 3.333178E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.964 | TFLOPs: 43.38 | 7: iteration 2270/ 7508 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.57 | learning rate: 1.640E-04 | global batch size: 256 | lm loss: 3.330810E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.601 | TFLOPs: 42.96 | 7: iteration 2280/ 7508 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.56 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 3.342937E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.886 | TFLOPs: 43.94 | 7: iteration 2290/ 7508 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.56 | learning rate: 1.634E-04 | global batch size: 256 | lm loss: 3.348915E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.827 | TFLOPs: 43.55 | 7: iteration 2300/ 7508 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.55 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 3.318779E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.400 | TFLOPs: 44.08 | 7: iteration 2310/ 7508 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.55 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 3.328281E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.048 | TFLOPs: 44.05 | 7: iteration 2320/ 7508 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.56 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 3.310418E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.911 | TFLOPs: 43.28 | 7: iteration 2330/ 7508 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.56 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 3.339315E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.059 | TFLOPs: 43.86 | 7: iteration 2340/ 7508 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.56 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 3.327718E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.165 | TFLOPs: 43.20 | 7: iteration 2350/ 7508 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.56 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 3.341915E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.053 | TFLOPs: 43.86 | 7: iteration 2360/ 7508 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.57 | learning rate: 1.612E-04 | global batch size: 256 | lm loss: 3.306520E+00 | grad norm: 0.374 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.162 | TFLOPs: 42.82 | 7: iteration 2370/ 7508 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.58 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 3.287401E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.277 | TFLOPs: 42.36 | 7: iteration 2380/ 7508 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.56 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 3.291170E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.392 | TFLOPs: 43.32 | 7: iteration 2390/ 7508 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.58 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 3.339131E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.833 | TFLOPs: 42.12 | 7: iteration 2400/ 7508 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.56 | learning rate: 1.599E-04 | global batch size: 256 | lm loss: 3.296612E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.870 | TFLOPs: 43.84 | 7: iteration 2410/ 7508 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.56 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 3.320082E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.133 | TFLOPs: 43.30 | 7: iteration 2420/ 7508 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.58 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 3.294624E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.478 | TFLOPs: 42.28 | 7: iteration 2430/ 7508 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.57 | learning rate: 1.590E-04 | global batch size: 256 | lm loss: 3.320169E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.532 | TFLOPs: 42.86 | 7: iteration 2440/ 7508 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.56 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 3.300963E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.592 | TFLOPs: 43.25 | 7: iteration 2450/ 7508 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.57 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 3.311911E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.060 | TFLOPs: 43.00 | 7: iteration 2460/ 7508 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.57 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 3.287400E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.642 | TFLOPs: 43.15 | 7: iteration 2470/ 7508 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.56 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 3.309516E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.992 | TFLOPs: 43.47 | 7: iteration 2480/ 7508 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.58 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 3.312620E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.806 | TFLOPs: 42.41 | 7: iteration 2490/ 7508 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.56 | learning rate: 1.571E-04 | global batch size: 256 | lm loss: 3.301789E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.741 | TFLOPs: 43.64 | 7: iteration 2500/ 7508 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.57 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 3.327293E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.146 | TFLOPs: 42.92 | 7: iteration 2510/ 7508 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.56 | learning rate: 1.564E-04 | global batch 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norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.538 | TFLOPs: 43.14 | 7: iteration 2780/ 7508 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.57 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 3.250872E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.688 | TFLOPs: 42.78 | 7: iteration 2790/ 7508 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.58 | learning rate: 1.470E-04 | global batch size: 256 | lm loss: 3.273694E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.157 | TFLOPs: 42.44 | 7: iteration 2800/ 7508 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.57 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 3.231618E+00 | grad norm: 0.816 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.437 | TFLOPs: 42.85 | 7: iteration 2810/ 7508 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.57 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 3.262796E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.701 | TFLOPs: 42.97 | 7: iteration 2820/ 7508 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.57 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 3.260009E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.515 | TFLOPs: 42.95 | 7: iteration 2830/ 7508 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.57 | learning rate: 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consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.56 | learning rate: 1.424E-04 | global batch size: 256 | lm loss: 3.231049E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.143 | TFLOPs: 43.20 | 7: iteration 2930/ 7508 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.56 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 3.208722E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.611 | TFLOPs: 43.25 | 7: iteration 2940/ 7508 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.57 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 3.269192E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.962 | TFLOPs: 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| number of nan iterations: 0 | samples per second: 460.386 | TFLOPs: 43.89 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 3.046074E+00 | lm loss PPL: 2.103261E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_421moscar 0: [2022-11-29 17:23:59,847] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! 0: [2022-11-29 17:23:59,850] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step3000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:23:59,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:23:59,990] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[2022-11-29 17:24:00,819] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:24:00,819] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 17:24:00,819] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 4: [2022-11-29 17:24:00,819] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:24:00,820] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2022-11-29 17:24:00,820] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 3: [2022-11-29 17:24:00,823] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:24:00,825] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:24:00,825] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-29 17:24:00,825] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-29 17:24:00,825] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 6: [2022-11-29 17:24:00,827] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-29 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:24:00,850] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 17:24:00,850] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 17:24:00,850] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 17:24:00,850] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step3000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 17:24:00,850] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint 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checkpoint at iteration 3000 to checkpoints_421moscar 7: time (ms) | save-checkpoint: 1078.24 7: iteration 3010/ 7508 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.69 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 3.225602E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.826 | TFLOPs: 35.45 | 7: iteration 3020/ 7508 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.57 | learning rate: 1.388E-04 | global batch size: 256 | lm loss: 3.232943E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.118 | TFLOPs: 42.72 | 7: iteration 3030/ 7508 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.56 | learning rate: 1.385E-04 | global batch size: 256 | lm loss: 3.207411E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.772 | TFLOPs: 43.26 | 7: iteration 3040/ 7508 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.56 | learning rate: 1.381E-04 | global batch size: 256 | lm loss: 3.231520E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.123 | TFLOPs: 43.39 | 7: iteration 3050/ 7508 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.56 | learning rate: 1.378E-04 | global batch size: 256 | lm loss: 3.223892E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.902 | TFLOPs: 43.47 | 7: iteration 3060/ 7508 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.56 | learning rate: 1.374E-04 | global batch size: 256 | lm loss: 3.193266E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.328 | TFLOPs: 43.51 | 7: iteration 3070/ 7508 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.57 | learning rate: 1.370E-04 | global batch size: 256 | lm loss: 3.220886E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.787 | TFLOPs: 42.98 | 7: iteration 3080/ 7508 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.57 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 3.229825E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.801 | TFLOPs: 42.69 | 7: iteration 3090/ 7508 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.57 | learning rate: 1.363E-04 | global batch size: 256 | lm loss: 3.220149E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.838 | TFLOPs: 42.79 | 7: iteration 3100/ 7508 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.57 | learning rate: 1.359E-04 | global batch size: 256 | lm loss: 3.207221E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.394 | TFLOPs: 42.56 | 7: iteration 3110/ 7508 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.56 | learning rate: 1.356E-04 | global batch size: 256 | lm loss: 3.208154E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.942 | TFLOPs: 43.56 | 7: iteration 3120/ 7508 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.57 | learning rate: 1.352E-04 | global batch size: 256 | lm loss: 3.223250E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.929 | TFLOPs: 43.09 | 7: iteration 3130/ 7508 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.56 | learning rate: 1.348E-04 | global batch size: 256 | lm loss: 3.225422E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.795 | TFLOPs: 43.36 | 7: iteration 3140/ 7508 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.56 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 3.199251E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.185 | TFLOPs: 43.21 | 7: iteration 3150/ 7508 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.57 | learning rate: 1.341E-04 | global batch size: 256 | lm loss: 3.192194E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.067 | TFLOPs: 43.10 | 7: iteration 3160/ 7508 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.58 | learning rate: 1.337E-04 | global batch size: 256 | lm loss: 3.190902E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.879 | TFLOPs: 41.94 | 7: iteration 3170/ 7508 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.58 | learning rate: 1.334E-04 | global batch size: 256 | lm loss: 3.192649E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.582 | TFLOPs: 42.20 | 7: iteration 3180/ 7508 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.55 | learning rate: 1.330E-04 | global batch size: 256 | lm loss: 3.212777E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.205 | TFLOPs: 44.07 | 7: iteration 3190/ 7508 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.57 | learning rate: 1.326E-04 | global batch size: 256 | lm loss: 3.183294E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.650 | TFLOPs: 42.77 | 7: iteration 3200/ 7508 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.57 | learning rate: 1.323E-04 | global batch size: 256 | lm loss: 3.226568E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.999 | TFLOPs: 42.62 | 7: iteration 3210/ 7508 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.57 | learning rate: 1.319E-04 | global batch size: 256 | lm loss: 3.194293E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.408 | TFLOPs: 42.56 | 7: iteration 3220/ 7508 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.56 | learning rate: 1.315E-04 | global batch size: 256 | lm loss: 3.199486E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.285 | TFLOPs: 43.41 | 7: iteration 3230/ 7508 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.58 | learning rate: 1.312E-04 | global batch size: 256 | lm loss: 3.183058E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.525 | TFLOPs: 42.19 | 7: iteration 3240/ 7508 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.56 | learning rate: 1.308E-04 | global batch size: 256 | lm loss: 3.185892E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.917 | TFLOPs: 43.47 | 7: iteration 3250/ 7508 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.56 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 3.164134E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.405 | TFLOPs: 43.61 | 7: iteration 3260/ 7508 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.56 | learning rate: 1.301E-04 | global batch size: 256 | lm loss: 3.159031E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.424 | TFLOPs: 43.80 | 7: iteration 3270/ 7508 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.56 | learning rate: 1.297E-04 | global batch size: 256 | lm loss: 3.204600E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.124 | TFLOPs: 43.49 | 7: iteration 3280/ 7508 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.56 | learning rate: 1.293E-04 | global batch size: 256 | lm loss: 3.184583E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.080 | TFLOPs: 43.39 | 7: iteration 3290/ 7508 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.58 | learning rate: 1.289E-04 | global batch size: 256 | lm loss: 3.169680E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.162 | TFLOPs: 41.87 | 7: iteration 3300/ 7508 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.59 | learning rate: 1.286E-04 | global batch size: 256 | lm loss: 3.187906E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.229 | TFLOPs: 41.59 | 7: iteration 3310/ 7508 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.57 | learning rate: 1.282E-04 | global batch size: 256 | lm loss: 3.188167E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.269 | TFLOPs: 43.12 | 7: iteration 3320/ 7508 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.57 | learning rate: 1.278E-04 | global batch size: 256 | lm loss: 3.162715E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.561 | TFLOPs: 42.67 | 7: iteration 3330/ 7508 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.57 | learning rate: 1.275E-04 | global batch size: 256 | lm loss: 3.189956E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.751 | TFLOPs: 43.16 | 7: iteration 3340/ 7508 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.57 | learning rate: 1.271E-04 | global batch size: 256 | lm loss: 3.191939E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.135 | TFLOPs: 42.53 | 7: iteration 3350/ 7508 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.56 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 3.172893E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.016 | TFLOPs: 43.38 | 7: iteration 3360/ 7508 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.56 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 3.160878E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.617 | TFLOPs: 43.63 | 7: iteration 3370/ 7508 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.59 | learning rate: 1.260E-04 | global batch size: 256 | lm loss: 3.186474E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.412 | TFLOPs: 41.42 | 7: iteration 3380/ 7508 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.56 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 3.176845E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.145 | TFLOPs: 43.20 | 7: iteration 3390/ 7508 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.56 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 3.188671E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.401 | TFLOPs: 43.89 | 7: iteration 3400/ 7508 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.57 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 3.147341E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.823 | TFLOPs: 43.17 | 7: iteration 3410/ 7508 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.56 | learning rate: 1.245E-04 | global batch size: 256 | lm loss: 3.163446E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.280 | TFLOPs: 43.31 | 7: iteration 3420/ 7508 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.56 | learning rate: 1.241E-04 | global batch size: 256 | lm loss: 3.138813E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.137 | TFLOPs: 43.49 | 7: iteration 3430/ 7508 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.56 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 3.174379E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.997 | TFLOPs: 43.95 | 7: iteration 3440/ 7508 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.56 | learning rate: 1.233E-04 | global batch size: 256 | lm loss: 3.177172E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.961 | TFLOPs: 43.38 | 7: iteration 3450/ 7508 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.57 | learning rate: 1.230E-04 | global batch size: 256 | lm loss: 3.184731E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.453 | TFLOPs: 43.14 | 7: iteration 3460/ 7508 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.56 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 3.161905E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.766 | TFLOPs: 43.36 | 7: iteration 3470/ 7508 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.57 | learning rate: 1.222E-04 | global batch size: 256 | lm loss: 3.164964E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.993 | TFLOPs: 43.00 | 7: iteration 3480/ 7508 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.57 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 3.172697E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.281 | TFLOPs: 42.55 | 7: iteration 3490/ 7508 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.56 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 3.137758E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.202 | TFLOPs: 43.40 | 7: iteration 3500/ 7508 | 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42.83 | 7: iteration 3530/ 7508 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.57 | learning rate: 1.199E-04 | global batch size: 256 | lm loss: 3.150394E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.939 | TFLOPs: 42.61 | 7: iteration 3540/ 7508 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.56 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 3.162367E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.931 | TFLOPs: 43.56 | 7: iteration 3550/ 7508 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.57 | learning rate: 1.192E-04 | global batch size: 256 | lm loss: 3.174954E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.697 | TFLOPs: 43.06 | 7: iteration 3560/ 7508 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.57 | learning rate: 1.188E-04 | global batch size: 256 | lm loss: 3.132491E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.924 | TFLOPs: 43.09 | 7: iteration 3570/ 7508 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.57 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 3.174811E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.276 | TFLOPs: 42.83 | 7: iteration 3580/ 7508 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.56 | learning rate: 1.180E-04 | global batch size: 256 | lm loss: 3.146375E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.957 | TFLOPs: 43.66 | 7: iteration 3590/ 7508 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.56 | learning rate: 1.177E-04 | global batch size: 256 | lm loss: 3.142975E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.303 | TFLOPs: 43.22 | 7: iteration 3600/ 7508 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.57 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 3.159371E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.628 | TFLOPs: 42.68 | 7: iteration 3610/ 7508 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.55 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 3.138197E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.195 | TFLOPs: 44.07 | 7: iteration 3620/ 7508 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.56 | learning rate: 1.165E-04 | global batch size: 256 | lm loss: 3.148647E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.163 | TFLOPs: 43.30 | 7: iteration 3630/ 7508 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.56 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 3.166543E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.072 | TFLOPs: 43.48 | 7: iteration 3640/ 7508 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.57 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 3.131576E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.715 | TFLOPs: 42.68 | 7: iteration 3650/ 7508 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.56 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 3.135140E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.686 | TFLOPs: 43.54 | 7: iteration 3660/ 7508 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.57 | learning rate: 1.150E-04 | global batch size: 256 | lm loss: 3.152849E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.225 | TFLOPs: 42.83 | 7: iteration 3670/ 7508 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.58 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 3.162427E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.972 | TFLOPs: 42.04 | 7: iteration 3680/ 7508 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.58 | learning rate: 1.142E-04 | global batch size: 256 | lm loss: 3.122979E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 437.717 | TFLOPs: 41.73 | 7: iteration 3690/ 7508 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.58 | learning rate: 1.139E-04 | global batch size: 256 | lm loss: 3.138215E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.391 | TFLOPs: 41.99 | 7: iteration 3700/ 7508 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.56 | learning rate: 1.135E-04 | global batch size: 256 | lm loss: 3.148333E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.712 | TFLOPs: 43.54 | 7: iteration 3710/ 7508 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.56 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 3.164355E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.097 | TFLOPs: 43.77 | 7: iteration 3720/ 7508 | consumed samples: 952320 | consumed tokens: 1950351360 | elapsed time per iteration (s): 0.57 | learning rate: 1.127E-04 | global batch size: 256 | lm loss: 3.152676E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.627 | TFLOPs: 42.96 | 7: iteration 3730/ 7508 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 0.56 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 3.149700E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.747 | TFLOPs: 43.64 | 7: iteration 3740/ 7508 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.55 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 3.113429E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.997 | TFLOPs: 44.05 | 7: iteration 3750/ 7508 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.57 | learning rate: 1.116E-04 | global batch size: 256 | lm loss: 3.118960E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.499 | TFLOPs: 43.05 | 7: iteration 3760/ 7508 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.56 | learning rate: 1.112E-04 | global batch size: 256 | lm loss: 3.121901E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.340 | TFLOPs: 43.51 | 7: iteration 3770/ 7508 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.56 | learning rate: 1.108E-04 | global batch size: 256 | lm loss: 3.146084E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.012 | TFLOPs: 43.48 | 7: iteration 3780/ 7508 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.56 | learning rate: 1.104E-04 | global batch size: 256 | lm loss: 3.137843E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.089 | TFLOPs: 43.39 | 7: iteration 3790/ 7508 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.56 | learning rate: 1.101E-04 | global batch size: 256 | lm loss: 3.115147E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.584 | TFLOPs: 43.44 | 7: iteration 3800/ 7508 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.56 | learning rate: 1.097E-04 | global batch size: 256 | lm loss: 3.153136E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.355 | TFLOPs: 43.70 | 7: iteration 3810/ 7508 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.59 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 3.136713E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 431.573 | TFLOPs: 41.15 | 7: iteration 3820/ 7508 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.56 | learning rate: 1.089E-04 | global batch size: 256 | lm loss: 3.131602E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.554 | TFLOPs: 43.62 | 7: iteration 3830/ 7508 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.57 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 3.131060E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.708 | TFLOPs: 42.87 | 7: iteration 3840/ 7508 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.56 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 3.136223E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.119 | TFLOPs: 43.68 | 7: iteration 3850/ 7508 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.57 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 3.161945E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.443 | TFLOPs: 43.04 | 7: iteration 3860/ 7508 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.56 | learning rate: 1.074E-04 | global batch size: 256 | lm loss: 3.119133E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.725 | TFLOPs: 43.93 | 7: iteration 3870/ 7508 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.56 | learning rate: 1.070E-04 | global batch size: 256 | lm loss: 3.123623E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.075 | TFLOPs: 43.29 | 7: iteration 3880/ 7508 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.57 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 3.114463E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.613 | TFLOPs: 43.06 | 7: iteration 3890/ 7508 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.55 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 3.115380E+00 | grad norm: 1.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.483 | TFLOPs: 44.00 | 7: iteration 3900/ 7508 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.56 | learning rate: 1.059E-04 | global batch size: 256 | lm loss: 3.114578E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.068 | TFLOPs: 43.96 | 7: iteration 3910/ 7508 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.55 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 3.105050E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.867 | TFLOPs: 44.03 | 7: iteration 3920/ 7508 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.56 | learning rate: 1.051E-04 | global batch size: 256 | lm loss: 3.106391E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.048 | TFLOPs: 43.96 | 7: iteration 3930/ 7508 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.59 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 3.112336E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.157 | TFLOPs: 41.58 | 7: iteration 3940/ 7508 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.56 | learning rate: 1.044E-04 | global batch size: 256 | lm loss: 3.114089E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.043 | TFLOPs: 43.48 | 7: iteration 3950/ 7508 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.58 | learning rate: 1.040E-04 | global batch size: 256 | lm loss: 3.125405E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.293 | TFLOPs: 42.36 | 7: iteration 3960/ 7508 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.56 | learning rate: 1.036E-04 | global batch size: 256 | lm loss: 3.093340E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.083 | TFLOPs: 43.67 | 7: iteration 3970/ 7508 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.55 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 3.122943E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.284 | TFLOPs: 44.07 | 7: iteration 3980/ 7508 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.56 | learning rate: 1.028E-04 | global batch size: 256 | lm loss: 3.110517E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.796 | TFLOPs: 43.26 | 7: iteration 3990/ 7508 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.58 | learning rate: 1.025E-04 | global batch size: 256 | lm loss: 3.116075E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.167 | TFLOPs: 42.44 | 0: [2022-11-29 17:33:26,734] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00010208850566272403, 0.00010208850566272403, 0.00010208850566272403], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 7508 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.56 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 3.107285E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.086 | TFLOPs: 43.96 | 0: steps: 4000 loss: 3.0982 iter time (s): 0.565 samples/sec: 453.219 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 2.971264E+00 | lm loss PPL: 1.951658E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_421moscar 0: [2022-11-29 17:33:26,938] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-29 17:33:26,943] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:33:27,084] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:33:27,085] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step4000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:33:27,125] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:33:27,126] 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0] Saving model checkpoint: checkpoints_421moscar/global_step4000/mp_rank_00_model_states.pt 0: [2022-11-29 17:33:27,815] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step4000/mp_rank_00_model_states.pt... 0: [2022-11-29 17:33:27,817] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/mp_rank_00_model_states.pt. 0: [2022-11-29 17:33:27,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:33:27,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:33:27,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt... 0: [2022-11-29 17:33:27,894] [INFO] 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checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2022-11-29 17:33:27,992] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:33:27,993] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:33:27,993] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:27,993] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:33:27,995] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2022-11-29 17:33:27,995] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:33:28,006] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-29 17:33:28,006] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 4: [2022-11-29 17:33:28,006] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:33:28,006] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 17:33:28,006] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-29 17:33:28,008] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-29 17:33:27,997] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-29 17:33:27,999] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:33:27,999] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-29 17:33:27,999] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-29 17:33:28,000] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:33:28,000] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-29 17:33:28,000] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-29 17:33:28,016] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:33:28,016] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-29 17:33:28,016] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:33:27,990] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:33:28,021] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:33:28,021] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-29 17:33:28,021] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 2: [2022-11-29 17:33:28,025] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:33:28,028] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-29 17:33:28,028] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-29 17:33:28,028] [INFO] 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checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:28,022] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:33:28,023] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:28,023] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:28,023] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:33:28,023] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:28,023] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:28,023] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 3: [2022-11-29 17:33:28,023] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:33:28,023] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:33:28,023] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: [2022-11-29 17:33:28,093] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step4000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:33:28,093] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_421moscar 7: time (ms) | save-checkpoint: 1165.62 7: iteration 4010/ 7508 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.71 | learning rate: 1.017E-04 | global batch size: 256 | lm loss: 3.114522E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.508 | TFLOPs: 34.47 | 7: iteration 4020/ 7508 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.55 | learning rate: 1.013E-04 | global batch size: 256 | lm loss: 3.126841E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.283 | TFLOPs: 43.98 | 7: iteration 4030/ 7508 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.56 | learning rate: 1.010E-04 | global batch size: 256 | lm loss: 3.119012E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.876 | TFLOPs: 43.84 | 7: iteration 4040/ 7508 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.58 | learning rate: 1.006E-04 | global batch size: 256 | lm loss: 3.124234E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.170 | TFLOPs: 41.87 | 7: iteration 4050/ 7508 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.56 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 3.111638E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.980 | TFLOPs: 43.95 | 7: iteration 4060/ 7508 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.56 | learning rate: 9.982E-05 | global batch size: 256 | lm loss: 3.117637E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.868 | TFLOPs: 43.94 | 7: iteration 4070/ 7508 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.56 | learning rate: 9.944E-05 | global batch size: 256 | lm loss: 3.086178E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.143 | TFLOPs: 43.20 | 7: iteration 4080/ 7508 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.57 | learning rate: 9.906E-05 | global batch size: 256 | lm loss: 3.113878E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.025 | TFLOPs: 42.62 | 7: iteration 4090/ 7508 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.57 | learning rate: 9.868E-05 | global batch size: 256 | lm loss: 3.133576E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.238 | TFLOPs: 43.02 | 7: iteration 4100/ 7508 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.56 | learning rate: 9.831E-05 | global batch size: 256 | lm loss: 3.109291E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.145 | TFLOPs: 43.20 | 7: iteration 4110/ 7508 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.56 | learning rate: 9.793E-05 | global batch size: 256 | lm loss: 3.097786E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.045 | TFLOPs: 43.29 | 7: iteration 4120/ 7508 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.56 | learning rate: 9.755E-05 | global batch size: 256 | lm loss: 3.084142E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.101 | TFLOPs: 43.67 | 7: iteration 4130/ 7508 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.58 | learning rate: 9.718E-05 | global batch size: 256 | lm loss: 3.115983E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.010 | TFLOPs: 42.33 | 7: iteration 4140/ 7508 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.56 | learning rate: 9.680E-05 | global batch size: 256 | lm loss: 3.093224E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.149 | TFLOPs: 43.30 | 7: iteration 4150/ 7508 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.56 | learning rate: 9.642E-05 | global batch size: 256 | lm loss: 3.104148E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.409 | TFLOPs: 43.42 | 7: iteration 4160/ 7508 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.57 | learning rate: 9.605E-05 | global batch size: 256 | lm loss: 3.104629E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.900 | TFLOPs: 42.70 | 7: iteration 4170/ 7508 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.58 | learning rate: 9.567E-05 | global batch size: 256 | lm loss: 3.085221E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.609 | TFLOPs: 42.29 | 7: iteration 4180/ 7508 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.56 | learning rate: 9.530E-05 | global batch size: 256 | lm loss: 3.068704E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.036 | TFLOPs: 43.95 | 7: iteration 4190/ 7508 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.57 | learning rate: 9.492E-05 | global batch size: 256 | lm loss: 3.094536E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.026 | TFLOPs: 42.62 | 7: iteration 4200/ 7508 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.57 | learning rate: 9.455E-05 | global batch size: 256 | lm loss: 3.092012E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.461 | TFLOPs: 42.47 | 7: iteration 4210/ 7508 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.58 | learning rate: 9.417E-05 | global batch size: 256 | lm loss: 3.114637E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.393 | TFLOPs: 42.27 | 7: iteration 4220/ 7508 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.58 | learning rate: 9.380E-05 | global batch size: 256 | lm loss: 3.120522E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.441 | TFLOPs: 42.37 | 7: iteration 4230/ 7508 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.56 | learning rate: 9.342E-05 | global batch size: 256 | lm loss: 3.095565E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.651 | TFLOPs: 43.44 | 7: iteration 4240/ 7508 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.60 | learning rate: 9.305E-05 | global batch size: 256 | lm loss: 3.130831E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 428.752 | TFLOPs: 40.88 | 7: iteration 4250/ 7508 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.60 | learning rate: 9.268E-05 | global batch size: 256 | lm loss: 3.052501E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 428.558 | TFLOPs: 40.86 | 7: iteration 4260/ 7508 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.57 | learning rate: 9.230E-05 | global batch size: 256 | lm loss: 3.129826E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.395 | TFLOPs: 42.46 | 7: iteration 4270/ 7508 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.57 | learning rate: 9.193E-05 | global batch size: 256 | lm loss: 3.102592E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.519 | TFLOPs: 42.86 | 7: iteration 4280/ 7508 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.57 | learning rate: 9.156E-05 | global batch size: 256 | lm loss: 3.105665E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.660 | TFLOPs: 42.58 | 7: iteration 4290/ 7508 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.58 | learning rate: 9.119E-05 | global batch size: 256 | lm loss: 3.102555E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.795 | TFLOPs: 42.31 | 7: iteration 4300/ 7508 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.56 | learning rate: 9.082E-05 | global batch size: 256 | lm loss: 3.047635E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.387 | TFLOPs: 43.89 | 7: iteration 4310/ 7508 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.56 | learning rate: 9.044E-05 | global batch size: 256 | lm loss: 3.081774E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.533 | TFLOPs: 43.53 | 7: iteration 4320/ 7508 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.57 | learning rate: 9.007E-05 | global batch size: 256 | lm loss: 3.072964E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.097 | TFLOPs: 43.01 | 7: iteration 4330/ 7508 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.56 | learning rate: 8.970E-05 | global batch size: 256 | lm loss: 3.077864E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.416 | TFLOPs: 43.61 | 7: iteration 4340/ 7508 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.57 | learning rate: 8.933E-05 | global batch size: 256 | lm loss: 3.118719E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.213 | TFLOPs: 43.11 | 7: iteration 4350/ 7508 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.57 | learning rate: 8.896E-05 | global batch size: 256 | lm loss: 3.066290E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.284 | TFLOPs: 43.12 | 7: iteration 4360/ 7508 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.56 | learning rate: 8.859E-05 | global batch size: 256 | lm loss: 3.056250E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.996 | TFLOPs: 43.38 | 7: iteration 4370/ 7508 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.56 | learning rate: 8.822E-05 | global batch size: 256 | lm loss: 3.084569E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.998 | TFLOPs: 43.67 | 7: iteration 4380/ 7508 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.56 | learning rate: 8.785E-05 | global batch size: 256 | lm loss: 3.088601E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.944 | TFLOPs: 43.66 | 7: iteration 4390/ 7508 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.57 | learning rate: 8.749E-05 | global batch size: 256 | lm loss: 3.074684E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.268 | TFLOPs: 42.93 | 7: iteration 4400/ 7508 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.58 | learning rate: 8.712E-05 | global batch size: 256 | lm loss: 3.071076E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.543 | TFLOPs: 42.10 | 7: iteration 4410/ 7508 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.57 | learning rate: 8.675E-05 | global batch size: 256 | lm loss: 3.080358E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.268 | TFLOPs: 42.83 | 7: iteration 4420/ 7508 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.57 | learning rate: 8.638E-05 | global batch size: 256 | lm loss: 3.073763E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.206 | TFLOPs: 42.64 | 7: iteration 4430/ 7508 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.56 | learning rate: 8.602E-05 | global batch size: 256 | lm loss: 3.078170E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.604 | TFLOPs: 43.72 | 7: iteration 4440/ 7508 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.55 | learning rate: 8.565E-05 | global batch size: 256 | lm loss: 3.062812E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.567 | TFLOPs: 44.01 | 7: iteration 4450/ 7508 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.56 | learning rate: 8.528E-05 | global batch size: 256 | lm loss: 3.072509E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.017 | TFLOPs: 43.76 | 7: iteration 4460/ 7508 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.56 | learning rate: 8.492E-05 | global batch size: 256 | lm loss: 3.075376E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.635 | TFLOPs: 43.92 | 7: iteration 4470/ 7508 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.56 | learning rate: 8.455E-05 | global batch size: 256 | lm loss: 3.049478E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.672 | TFLOPs: 43.63 | 7: iteration 4480/ 7508 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.58 | learning rate: 8.419E-05 | global batch size: 256 | lm loss: 3.075216E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.114 | TFLOPs: 42.34 | 7: iteration 4490/ 7508 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.56 | learning rate: 8.382E-05 | global batch size: 256 | lm loss: 3.078852E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.418 | TFLOPs: 43.32 | 7: iteration 4500/ 7508 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.56 | learning rate: 8.346E-05 | global batch size: 256 | lm loss: 3.065884E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.069 | TFLOPs: 43.48 | 7: iteration 4510/ 7508 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.56 | learning rate: 8.310E-05 | global batch size: 256 | lm loss: 3.092347E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.353 | TFLOPs: 43.22 | 7: iteration 4520/ 7508 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.57 | learning rate: 8.273E-05 | global batch size: 256 | lm loss: 3.058681E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.122 | TFLOPs: 42.63 | 7: iteration 4530/ 7508 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.55 | learning rate: 8.237E-05 | global batch size: 256 | lm loss: 3.065742E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.438 | TFLOPs: 44.09 | 7: iteration 4540/ 7508 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.58 | learning rate: 8.201E-05 | global batch size: 256 | lm loss: 3.069703E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.798 | TFLOPs: 41.93 | 7: iteration 4550/ 7508 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.56 | learning rate: 8.165E-05 | global batch size: 256 | lm loss: 3.068055E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.669 | TFLOPs: 43.73 | 7: iteration 4560/ 7508 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.56 | learning rate: 8.129E-05 | global batch size: 256 | lm loss: 3.055194E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.896 | TFLOPs: 43.27 | 7: iteration 4570/ 7508 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.56 | learning rate: 8.093E-05 | global batch size: 256 | lm loss: 3.067536E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.059 | TFLOPs: 43.48 | 7: iteration 4580/ 7508 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.56 | learning rate: 8.057E-05 | global batch size: 256 | lm loss: 3.057001E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.854 | TFLOPs: 43.56 | 7: iteration 4590/ 7508 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.56 | learning rate: 8.021E-05 | global batch size: 256 | lm loss: 3.057006E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.781 | TFLOPs: 43.74 | 7: iteration 4600/ 7508 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.56 | learning rate: 7.985E-05 | global batch size: 256 | lm loss: 3.065248E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.886 | TFLOPs: 43.37 | 7: iteration 4610/ 7508 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.57 | learning rate: 7.949E-05 | global batch size: 256 | lm loss: 3.062206E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.682 | TFLOPs: 43.16 | 7: iteration 4620/ 7508 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.58 | learning rate: 7.913E-05 | global batch size: 256 | lm loss: 3.049471E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.180 | TFLOPs: 42.44 | 7: iteration 4630/ 7508 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.58 | learning rate: 7.878E-05 | global batch size: 256 | lm loss: 3.071543E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.649 | TFLOPs: 42.39 | 7: iteration 4640/ 7508 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.57 | learning rate: 7.842E-05 | global batch size: 256 | lm loss: 3.078993E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.605 | TFLOPs: 42.96 | 7: iteration 4650/ 7508 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.59 | learning rate: 7.807E-05 | global batch size: 256 | lm loss: 3.049907E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 435.539 | TFLOPs: 41.52 | 7: iteration 4660/ 7508 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.57 | learning rate: 7.771E-05 | global batch size: 256 | lm loss: 3.054586E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.883 | TFLOPs: 43.08 | 7: iteration 4670/ 7508 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.57 | learning rate: 7.736E-05 | global batch size: 256 | lm loss: 3.054727E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.273 | TFLOPs: 43.12 | 7: iteration 4680/ 7508 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.56 | learning rate: 7.700E-05 | global batch size: 256 | lm loss: 3.063568E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.446 | TFLOPs: 43.33 | 7: iteration 4690/ 7508 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 0.55 | learning rate: 7.665E-05 | global batch size: 256 | lm loss: 3.075947E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.688 | TFLOPs: 44.02 | 7: iteration 4700/ 7508 | consumed samples: 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of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.488 | TFLOPs: 43.33 | 7: iteration 4820/ 7508 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.56 | learning rate: 7.211E-05 | global batch size: 256 | lm loss: 3.072107E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.991 | TFLOPs: 43.38 | 7: iteration 4830/ 7508 | consumed samples: 1236480 | consumed tokens: 2532311040 | elapsed time per iteration (s): 0.57 | learning rate: 7.176E-05 | global batch size: 256 | lm loss: 3.032426E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.559 | TFLOPs: 42.96 | 7: iteration 4840/ 7508 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 0.57 | learning rate: 7.142E-05 | global batch size: 256 | lm loss: 3.063377E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.835 | TFLOPs: 42.51 | 7: iteration 4850/ 7508 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 0.57 | learning rate: 7.108E-05 | global batch size: 256 | lm loss: 3.057552E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.252 | TFLOPs: 42.74 | 7: iteration 4860/ 7508 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 0.56 | learning rate: 7.073E-05 | global batch size: 256 | lm loss: 3.030808E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.820 | TFLOPs: 43.55 | 7: iteration 4870/ 7508 | consumed samples: 1246720 | consumed tokens: 2553282560 | elapsed time per iteration (s): 0.56 | learning rate: 7.039E-05 | global batch size: 256 | lm loss: 3.037318E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.549 | TFLOPs: 43.34 | 7: iteration 4880/ 7508 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 0.57 | learning rate: 7.005E-05 | global batch size: 256 | lm loss: 3.049381E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.022 | TFLOPs: 43.19 | 7: iteration 4890/ 7508 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 0.57 | learning rate: 6.971E-05 | global batch size: 256 | lm loss: 3.044379E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.897 | TFLOPs: 43.08 | 7: iteration 4900/ 7508 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.57 | learning rate: 6.937E-05 | global batch size: 256 | lm loss: 3.037666E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.717 | TFLOPs: 43.07 | 7: iteration 4910/ 7508 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.57 | learning rate: 6.903E-05 | global batch size: 256 | lm loss: 3.037605E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.752 | TFLOPs: 43.07 | 7: iteration 4920/ 7508 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.56 | learning rate: 6.869E-05 | global batch size: 256 | lm loss: 3.060104E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.981 | TFLOPs: 43.38 | 7: iteration 4930/ 7508 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.57 | learning rate: 6.835E-05 | global batch size: 256 | lm loss: 3.019411E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.752 | TFLOPs: 42.69 | 7: iteration 4940/ 7508 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.56 | learning rate: 6.802E-05 | global batch size: 256 | lm loss: 3.068993E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.692 | TFLOPs: 43.64 | 7: iteration 4950/ 7508 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.56 | learning rate: 6.768E-05 | global batch size: 256 | lm loss: 3.034330E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.743 | TFLOPs: 43.45 | 7: iteration 4960/ 7508 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.58 | learning rate: 6.735E-05 | global batch size: 256 | lm loss: 3.070744E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.663 | TFLOPs: 42.30 | 7: iteration 4970/ 7508 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.57 | learning rate: 6.701E-05 | global batch size: 256 | lm loss: 3.058860E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.221 | TFLOPs: 43.11 | 7: iteration 4980/ 7508 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.56 | learning rate: 6.668E-05 | global batch size: 256 | lm loss: 3.029410E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.017 | TFLOPs: 43.95 | 7: iteration 4990/ 7508 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.58 | learning rate: 6.634E-05 | global batch size: 256 | lm loss: 3.046268E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.740 | TFLOPs: 42.02 | 7: iteration 5000/ 7508 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.56 | learning rate: 6.601E-05 | global batch size: 256 | lm loss: 3.033295E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.234 | TFLOPs: 43.21 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 3.010551E+00 | lm loss PPL: 2.029859E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_421moscar 0: [2022-11-29 17:42:54,713] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-29 17:42:54,717] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:42:54,860] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:42:54,861] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step5000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:42:54,901] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:42:54,902] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step5000/layer_04-model_00-model_states.pt... 0: [2022-11-29 17:42:54,945] [INFO] 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checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 4: [2022-11-29 17:42:55,700] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:42:55,700] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 4: [2022-11-29 17:42:55,700] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 2: [2022-11-29 17:42:55,700] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2022-11-29 17:42:55,700] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 2: [2022-11-29 17:42:55,700] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt. 2: [2022-11-29 17:42:55,700] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2022-11-29 17:42:55,700] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 6: [2022-11-29 17:42:55,702] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-29 17:42:55,702] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 17:42:55,702] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:42:55,705] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:42:55,698] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 17:42:55,698] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:42:55,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2022-11-29 17:42:55,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2022-11-29 17:42:55,717] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt 5: [2022-11-29 17:42:55,702] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:42:55,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:42:55,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-29 17:42:55,702] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 3: [2022-11-29 17:42:55,717] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-29 17:42:55,702] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:42:55,725] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:42:55,707] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:42:55,725] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_26_mp_rank_00_optim_states.pt 5: [2022-11-29 17:42:55,707] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 3: [2022-11-29 17:42:55,725] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-29 17:42:55,707] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:42:55,725] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:42:55,725] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:42:55,708] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:42:55,725] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-29 17:42:55,725] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 5: [2022-11-29 17:42:55,708] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 3: [2022-11-29 17:42:55,725] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is 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17:42:55,714] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:42:55,731] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-29 17:42:55,715] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:42:55,731] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:42:55,715] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 3: [2022-11-29 17:42:55,731] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 5: [2022-11-29 17:42:55,715] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-29 17:42:55,732] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-29 17:42:55,727] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:42:55,728] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-29 17:42:55,728] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 5: [2022-11-29 17:42:55,728] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-29 17:42:55,728] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-29 17:42:55,728] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-29 17:42:55,796] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-29 17:42:55,796] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_421moscar 7: time (ms) | save-checkpoint: 1095.31 7: iteration 5010/ 7508 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.71 | learning rate: 6.568E-05 | global batch size: 256 | lm loss: 3.041396E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.642 | TFLOPs: 34.38 | 7: iteration 5020/ 7508 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.57 | learning rate: 6.535E-05 | global batch size: 256 | lm loss: 3.046171E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.812 | TFLOPs: 42.69 | 7: iteration 5030/ 7508 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.56 | learning rate: 6.502E-05 | global batch size: 256 | lm loss: 3.015382E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.424 | TFLOPs: 43.71 | 7: iteration 5040/ 7508 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.57 | learning rate: 6.469E-05 | global batch size: 256 | lm loss: 3.056819E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.065 | TFLOPs: 43.10 | 7: iteration 5050/ 7508 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.57 | learning rate: 6.436E-05 | global batch size: 256 | lm loss: 3.034401E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.825 | TFLOPs: 43.17 | 7: iteration 5060/ 7508 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.55 | learning rate: 6.404E-05 | global batch size: 256 | lm loss: 3.038684E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.868 | TFLOPs: 44.03 | 7: iteration 5070/ 7508 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.57 | learning rate: 6.371E-05 | global batch size: 256 | lm loss: 3.037035E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.105 | TFLOPs: 42.91 | 7: iteration 5080/ 7508 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.56 | learning rate: 6.338E-05 | global batch size: 256 | lm loss: 3.054399E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.182 | TFLOPs: 43.78 | 7: iteration 5090/ 7508 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.56 | learning rate: 6.306E-05 | global batch size: 256 | lm loss: 3.057043E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.012 | TFLOPs: 43.48 | 7: iteration 5100/ 7508 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.57 | learning rate: 6.273E-05 | global batch size: 256 | lm loss: 3.061097E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.416 | TFLOPs: 42.94 | 7: iteration 5110/ 7508 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.57 | learning rate: 6.241E-05 | global batch size: 256 | lm loss: 3.051705E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.356 | TFLOPs: 42.75 | 7: iteration 5120/ 7508 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.56 | learning rate: 6.209E-05 | global batch size: 256 | lm loss: 3.025942E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.238 | TFLOPs: 43.59 | 7: iteration 5130/ 7508 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.57 | learning rate: 6.177E-05 | global batch size: 256 | lm loss: 3.050431E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.576 | TFLOPs: 42.67 | 7: iteration 5140/ 7508 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.57 | learning rate: 6.145E-05 | global batch size: 256 | lm loss: 3.051023E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.813 | TFLOPs: 42.88 | 7: iteration 5150/ 7508 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.57 | learning rate: 6.113E-05 | global batch size: 256 | lm loss: 3.046274E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.605 | TFLOPs: 42.86 | 7: iteration 5160/ 7508 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.56 | learning rate: 6.081E-05 | global batch size: 256 | lm loss: 3.040669E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.330 | TFLOPs: 43.41 | 7: iteration 5170/ 7508 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.56 | learning rate: 6.049E-05 | global batch size: 256 | lm loss: 3.053841E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.482 | TFLOPs: 43.62 | 7: iteration 5180/ 7508 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.58 | learning rate: 6.017E-05 | global batch size: 256 | lm loss: 3.032410E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.109 | TFLOPs: 41.86 | 7: iteration 5190/ 7508 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.57 | learning rate: 5.986E-05 | global batch size: 256 | lm loss: 3.034900E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.220 | TFLOPs: 42.54 | 7: iteration 5200/ 7508 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.56 | learning rate: 5.954E-05 | global batch size: 256 | lm loss: 3.040169E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.929 | TFLOPs: 43.75 | 7: iteration 5210/ 7508 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.56 | learning rate: 5.923E-05 | global batch size: 256 | lm loss: 3.031647E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.925 | TFLOPs: 43.94 | 7: iteration 5220/ 7508 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.58 | learning rate: 5.891E-05 | global batch size: 256 | lm loss: 3.030108E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.627 | TFLOPs: 42.39 | 7: iteration 5230/ 7508 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.56 | learning rate: 5.860E-05 | global batch size: 256 | lm loss: 2.995861E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.283 | TFLOPs: 43.22 | 7: iteration 5240/ 7508 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.56 | learning rate: 5.829E-05 | global batch size: 256 | lm loss: 3.010943E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.959 | TFLOPs: 43.38 | 7: iteration 5250/ 7508 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.58 | learning rate: 5.798E-05 | global batch size: 256 | lm loss: 3.034743E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.499 | TFLOPs: 42.00 | 7: iteration 5260/ 7508 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.57 | learning rate: 5.767E-05 | global batch size: 256 | lm loss: 3.017117E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.514 | TFLOPs: 42.57 | 7: iteration 5270/ 7508 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.56 | learning rate: 5.736E-05 | global batch size: 256 | lm loss: 3.018555E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.133 | TFLOPs: 43.20 | 7: iteration 5280/ 7508 | consumed samples: 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second: 440.406 | TFLOPs: 41.99 | 7: iteration 5340/ 7508 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.56 | learning rate: 5.522E-05 | global batch size: 256 | lm loss: 3.020988E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.043 | TFLOPs: 43.38 | 7: iteration 5350/ 7508 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.56 | learning rate: 5.492E-05 | global batch size: 256 | lm loss: 3.030653E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.559 | TFLOPs: 43.43 | 7: iteration 5360/ 7508 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.59 | learning rate: 5.462E-05 | global batch size: 256 | lm loss: 3.001297E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.147 | TFLOPs: 41.39 | 7: iteration 5370/ 7508 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.56 | learning rate: 5.432E-05 | global batch size: 256 | lm loss: 3.014642E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.271 | TFLOPs: 43.60 | 7: iteration 5380/ 7508 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.57 | learning rate: 5.402E-05 | global batch size: 256 | lm loss: 3.039616E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.249 | TFLOPs: 43.12 | 7: iteration 5390/ 7508 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.56 | learning rate: 5.373E-05 | global batch size: 256 | lm loss: 3.018637E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.367 | TFLOPs: 43.32 | 7: iteration 5400/ 7508 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.56 | learning rate: 5.343E-05 | global batch size: 256 | lm loss: 2.979512E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.302 | TFLOPs: 43.41 | 7: iteration 5410/ 7508 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.57 | learning rate: 5.313E-05 | global batch size: 256 | lm loss: 3.019490E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.116 | TFLOPs: 42.82 | 7: iteration 5420/ 7508 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.57 | learning rate: 5.284E-05 | global batch size: 256 | lm loss: 3.052625E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.835 | TFLOPs: 42.60 | 7: iteration 5430/ 7508 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.57 | learning rate: 5.255E-05 | global batch size: 256 | lm loss: 3.024893E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.183 | TFLOPs: 43.11 | 7: iteration 5440/ 7508 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.57 | learning rate: 5.225E-05 | global batch size: 256 | lm loss: 3.032243E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.686 | TFLOPs: 42.87 | 7: iteration 5450/ 7508 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.57 | learning rate: 5.196E-05 | global batch size: 256 | lm loss: 2.989022E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.313 | TFLOPs: 42.84 | 7: iteration 5460/ 7508 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.57 | learning rate: 5.167E-05 | global batch size: 256 | lm loss: 3.014968E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.442 | TFLOPs: 42.47 | 7: iteration 5470/ 7508 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.57 | learning rate: 5.138E-05 | global batch size: 256 | lm loss: 3.014103E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.297 | TFLOPs: 43.03 | 7: iteration 5480/ 7508 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.58 | learning rate: 5.109E-05 | global batch size: 256 | lm loss: 3.029781E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.696 | TFLOPs: 41.82 | 7: iteration 5490/ 7508 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.57 | learning rate: 5.081E-05 | global batch size: 256 | lm loss: 3.010789E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.461 | TFLOPs: 42.95 | 7: iteration 5500/ 7508 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.56 | learning rate: 5.052E-05 | global batch size: 256 | lm loss: 3.041424E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.304 | TFLOPs: 43.50 | 7: iteration 5510/ 7508 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.56 | learning rate: 5.024E-05 | global batch size: 256 | lm loss: 2.989238E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.889 | TFLOPs: 43.65 | 7: iteration 5520/ 7508 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.57 | learning rate: 4.995E-05 | global batch size: 256 | lm loss: 2.992597E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.573 | TFLOPs: 42.67 | 7: iteration 5530/ 7508 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.57 | learning rate: 4.967E-05 | global batch size: 256 | lm loss: 2.993801E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.399 | TFLOPs: 42.65 | 7: iteration 5540/ 7508 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.56 | learning rate: 4.939E-05 | global batch size: 256 | lm loss: 3.021950E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.205 | TFLOPs: 43.78 | 7: iteration 5550/ 7508 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.56 | learning rate: 4.911E-05 | global batch size: 256 | lm loss: 3.010030E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.417 | TFLOPs: 43.23 | 7: iteration 5560/ 7508 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.56 | learning rate: 4.883E-05 | global batch size: 256 | lm loss: 2.998322E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.992 | TFLOPs: 43.57 | 7: iteration 5570/ 7508 | 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43.99 | 7: iteration 5600/ 7508 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 1.87 | learning rate: 4.772E-05 | global batch size: 256 | lm loss: 3.007170E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 137.228 | TFLOPs: 13.08 | 7: iteration 5610/ 7508 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.56 | learning rate: 4.745E-05 | global batch size: 256 | lm loss: 2.997447E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.669 | TFLOPs: 43.92 | 7: iteration 5620/ 7508 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.55 | learning rate: 4.717E-05 | global batch size: 256 | lm loss: 3.004913E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.431 | TFLOPs: 43.99 | 7: iteration 5630/ 7508 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.57 | learning rate: 4.690E-05 | global batch size: 256 | lm loss: 2.996018E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.871 | TFLOPs: 42.79 | 7: iteration 5640/ 7508 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.56 | learning rate: 4.663E-05 | global batch size: 256 | lm loss: 3.008030E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.245 | TFLOPs: 43.97 | 7: iteration 5650/ 7508 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.58 | learning rate: 4.636E-05 | global batch size: 256 | lm loss: 3.029536E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 439.132 | TFLOPs: 41.87 | 7: iteration 5660/ 7508 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.57 | learning rate: 4.609E-05 | global batch size: 256 | lm loss: 3.026993E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.070 | TFLOPs: 42.81 | 7: iteration 5670/ 7508 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.55 | learning rate: 4.583E-05 | global batch size: 256 | lm loss: 2.997848E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.383 | TFLOPs: 43.99 | 7: iteration 5680/ 7508 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.57 | learning rate: 4.556E-05 | global batch size: 256 | lm loss: 3.007464E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.989 | TFLOPs: 43.19 | 7: iteration 5690/ 7508 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.55 | learning rate: 4.530E-05 | global batch size: 256 | lm loss: 2.988613E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.973 | TFLOPs: 44.04 | 7: iteration 5700/ 7508 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.56 | learning rate: 4.503E-05 | global batch size: 256 | lm loss: 3.012907E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.815 | TFLOPs: 43.84 | 7: iteration 5710/ 7508 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.56 | learning rate: 4.477E-05 | global batch size: 256 | lm loss: 3.010942E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.655 | TFLOPs: 43.54 | 7: iteration 5720/ 7508 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.56 | learning rate: 4.451E-05 | global batch size: 256 | lm loss: 2.989182E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.175 | TFLOPs: 43.59 | 7: iteration 5730/ 7508 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.56 | learning rate: 4.425E-05 | global batch size: 256 | lm loss: 2.979213E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.744 | TFLOPs: 43.74 | 7: iteration 5740/ 7508 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.56 | learning rate: 4.399E-05 | global batch size: 256 | lm loss: 3.008508E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.728 | TFLOPs: 43.93 | 7: iteration 5750/ 7508 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.56 | learning rate: 4.373E-05 | global batch size: 256 | lm loss: 2.997910E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.374 | TFLOPs: 43.89 | 7: iteration 5760/ 7508 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.55 | learning rate: 4.347E-05 | global batch size: 256 | lm loss: 2.977054E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.794 | TFLOPs: 44.03 | 7: iteration 5770/ 7508 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.55 | learning rate: 4.322E-05 | global batch size: 256 | lm loss: 3.010169E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.430 | TFLOPs: 44.09 | 7: iteration 5780/ 7508 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.55 | learning rate: 4.296E-05 | global batch size: 256 | lm loss: 2.992875E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.908 | TFLOPs: 44.04 | 7: iteration 5790/ 7508 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.58 | learning rate: 4.271E-05 | global batch size: 256 | lm loss: 3.020855E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.630 | TFLOPs: 42.20 | 7: iteration 5800/ 7508 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.55 | learning rate: 4.246E-05 | global batch size: 256 | lm loss: 2.995771E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.471 | TFLOPs: 44.00 | 7: iteration 5810/ 7508 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.56 | learning rate: 4.221E-05 | global batch size: 256 | lm loss: 3.015191E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.417 | TFLOPs: 43.90 | 7: iteration 5820/ 7508 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.56 | learning rate: 4.196E-05 | global batch size: 256 | lm loss: 2.998772E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.414 | TFLOPs: 43.32 | 7: iteration 5830/ 7508 | consumed samples: 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iteration 5860/ 7508 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.55 | learning rate: 4.097E-05 | global batch size: 256 | lm loss: 2.978775E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.903 | TFLOPs: 44.04 | 7: iteration 5870/ 7508 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.57 | learning rate: 4.073E-05 | global batch size: 256 | lm loss: 2.999161E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.815 | TFLOPs: 42.60 | 7: iteration 5880/ 7508 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.56 | learning rate: 4.049E-05 | global batch size: 256 | lm loss: 2.990177E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.818 | TFLOPs: 43.55 | 7: iteration 5890/ 7508 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.56 | learning rate: 4.025E-05 | global batch size: 256 | lm loss: 2.971812E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.654 | TFLOPs: 43.63 | 7: iteration 5900/ 7508 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.56 | learning rate: 4.001E-05 | global batch size: 256 | lm loss: 2.964516E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.212 | TFLOPs: 43.40 | 7: iteration 5910/ 7508 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.56 | learning rate: 3.977E-05 | global batch size: 256 | lm loss: 3.012907E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.852 | TFLOPs: 43.56 | 7: iteration 5920/ 7508 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 0.58 | learning rate: 3.953E-05 | global batch size: 256 | lm loss: 2.991883E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.664 | TFLOPs: 42.20 | 7: iteration 5930/ 7508 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 0.57 | learning rate: 3.929E-05 | global batch size: 256 | lm loss: 3.008112E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.995 | TFLOPs: 42.81 | 7: iteration 5940/ 7508 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.57 | learning rate: 3.906E-05 | global batch size: 256 | lm loss: 3.004879E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.573 | TFLOPs: 42.67 | 7: iteration 5950/ 7508 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.57 | learning rate: 3.883E-05 | global batch size: 256 | lm loss: 3.002111E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.899 | TFLOPs: 43.08 | 7: iteration 5960/ 7508 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.55 | learning rate: 3.859E-05 | global batch size: 256 | lm loss: 3.001822E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.700 | TFLOPs: 44.02 | 7: iteration 5970/ 7508 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.58 | learning rate: 3.836E-05 | global batch size: 256 | lm loss: 2.996395E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 440.477 | TFLOPs: 41.99 | 7: iteration 5980/ 7508 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.55 | learning rate: 3.813E-05 | global batch size: 256 | lm loss: 2.979263E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.505 | TFLOPs: 44.00 | 7: iteration 5990/ 7508 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.58 | learning rate: 3.790E-05 | global batch size: 256 | lm loss: 3.013696E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.194 | TFLOPs: 42.06 | 0: [2022-11-29 17:52:34,022] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[3.76774148080129e-05, 3.76774148080129e-05, 3.76774148080129e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 7508 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.57 | learning rate: 3.768E-05 | global batch size: 256 | lm loss: 2.985151E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.086 | TFLOPs: 42.72 | 0: steps: 6000 loss: 2.9404 iter time (s): 0.570 samples/sec: 449.352 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 2.879395E+00 | lm loss PPL: 1.780351E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 6000 to checkpoints_421moscar 0: [2022-11-29 17:52:34,282] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step6000 is begin to save! 0: [2022-11-29 17:52:34,299] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step6000/layer_01-model_00-model_states.pt... 0: [2022-11-29 17:52:34,443] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step6000/layer_01-model_00-model_states.pt. 0: [2022-11-29 17:52:34,443] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step6000/layer_03-model_00-model_states.pt... 0: [2022-11-29 17:52:34,487] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step6000/layer_03-model_00-model_states.pt. 0: [2022-11-29 17:52:34,487] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step6000/layer_04-model_00-model_states.pt... 0: [2022-11-29 17:52:34,530] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step6000/layer_04-model_00-model_states.pt. 0: [2022-11-29 17:52:34,530] [INFO] 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checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:52:35,313] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 17:52:35,313] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 3: [2022-11-29 17:52:35,321] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:52:35,322] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_24_mp_rank_00_optim_states.pt 3: [2022-11-29 17:52:35,322] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_28_mp_rank_00_optim_states.pt. 3: [2022-11-29 17:52:35,322] [INFO] 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-29 17:52:35,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2022-11-29 17:52:35,337] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt 4: [2022-11-29 17:52:35,337] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:52:35,337] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:52:35,337] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 4: [2022-11-29 17:52:35,337] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint 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checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 17:52:35,528] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-29 17:52:35,528] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 5: [2022-11-29 17:52:35,528] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step6000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-29 17:52:35,528] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: successfully saved checkpoint at iteration 6000 to checkpoints_421moscar 7: time (ms) | save-checkpoint: 1300.64 7: iteration 6010/ 7508 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.72 | learning rate: 3.745E-05 | global batch size: 256 | lm loss: 3.000943E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.035 | TFLOPs: 33.94 | 7: iteration 6020/ 7508 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.56 | learning rate: 3.723E-05 | global batch size: 256 | lm loss: 3.009396E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.934 | TFLOPs: 43.37 | 7: iteration 6030/ 7508 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.55 | learning rate: 3.700E-05 | global batch size: 256 | lm loss: 3.019036E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.052 | TFLOPs: 44.05 | 7: iteration 6040/ 7508 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.55 | learning rate: 3.678E-05 | global batch size: 256 | lm loss: 2.966092E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.745 | TFLOPs: 44.02 | 7: iteration 6050/ 7508 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.57 | learning rate: 3.656E-05 | global batch size: 256 | lm loss: 2.968461E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.355 | TFLOPs: 43.03 | 7: iteration 6060/ 7508 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.57 | learning rate: 3.634E-05 | global batch size: 256 | lm loss: 2.985555E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.504 | TFLOPs: 42.95 | 7: iteration 6070/ 7508 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.56 | learning rate: 3.612E-05 | global batch size: 256 | lm loss: 3.013208E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.515 | TFLOPs: 43.91 | 7: iteration 6080/ 7508 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.56 | learning rate: 3.591E-05 | global batch size: 256 | lm loss: 2.970066E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.031 | TFLOPs: 43.48 | 7: iteration 6090/ 7508 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.57 | learning rate: 3.569E-05 | global batch size: 256 | lm loss: 3.034248E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.658 | TFLOPs: 43.16 | 7: iteration 6100/ 7508 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.55 | learning rate: 3.548E-05 | global batch size: 256 | lm loss: 2.991923E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.443 | TFLOPs: 43.99 | 7: iteration 6110/ 7508 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.56 | learning rate: 3.527E-05 | global batch size: 256 | lm loss: 3.003359E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.330 | TFLOPs: 43.41 | 7: iteration 6120/ 7508 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.56 | learning rate: 3.505E-05 | global batch size: 256 | lm loss: 2.987024E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.534 | TFLOPs: 43.43 | 7: iteration 6130/ 7508 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.56 | learning rate: 3.484E-05 | global batch size: 256 | lm loss: 2.982756E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.656 | TFLOPs: 43.44 | 7: iteration 6140/ 7508 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.56 | learning rate: 3.464E-05 | global batch size: 256 | lm loss: 2.958490E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.534 | TFLOPs: 43.33 | 7: iteration 6150/ 7508 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.57 | learning rate: 3.443E-05 | global batch size: 256 | lm loss: 2.982700E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.486 | TFLOPs: 43.04 | 7: iteration 6160/ 7508 | consumed samples: 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iteration 6190/ 7508 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.56 | learning rate: 3.361E-05 | global batch size: 256 | lm loss: 2.969316E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.364 | TFLOPs: 43.89 | 7: iteration 6200/ 7508 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.55 | learning rate: 3.341E-05 | global batch size: 256 | lm loss: 2.984440E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 462.300 | TFLOPs: 44.08 | 7: iteration 6210/ 7508 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.56 | learning rate: 3.321E-05 | global batch size: 256 | lm loss: 2.958535E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.943 | TFLOPs: 43.66 | 7: iteration 6310/ 7508 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.56 | learning rate: 3.130E-05 | global batch size: 256 | lm loss: 2.963395E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.983 | TFLOPs: 43.38 | 7: iteration 6320/ 7508 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.58 | learning rate: 3.112E-05 | global batch size: 256 | lm loss: 2.965170E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 437.722 | TFLOPs: 41.73 | 7: iteration 6330/ 7508 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.56 | learning rate: 3.093E-05 | global batch size: 256 | lm loss: 2.965648E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.730 | TFLOPs: 43.54 | 7: iteration 6340/ 7508 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.56 | learning rate: 3.075E-05 | global batch size: 256 | lm loss: 2.973683E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.589 | TFLOPs: 43.63 | 7: iteration 6350/ 7508 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.57 | learning rate: 3.057E-05 | global batch size: 256 | lm loss: 3.005300E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.365 | TFLOPs: 42.75 | 7: iteration 6360/ 7508 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 0.56 | learning rate: 3.039E-05 | global batch size: 256 | lm loss: 2.956441E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.359 | TFLOPs: 43.60 | 7: iteration 6370/ 7508 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.56 | learning rate: 3.022E-05 | global batch size: 256 | lm loss: 2.977809E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.123 | TFLOPs: 43.30 | 7: iteration 6380/ 7508 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 0.57 | learning rate: 3.004E-05 | global batch size: 256 | lm loss: 2.975270E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.554 | TFLOPs: 42.76 | 7: iteration 6390/ 7508 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time 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43.54 | 7: iteration 6480/ 7508 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.56 | learning rate: 2.837E-05 | global batch size: 256 | lm loss: 2.976949E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.289 | TFLOPs: 43.60 | 7: iteration 6490/ 7508 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.56 | learning rate: 2.821E-05 | global batch size: 256 | lm loss: 2.984031E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.354 | TFLOPs: 43.32 | 7: iteration 6500/ 7508 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.56 | learning rate: 2.805E-05 | global batch size: 256 | lm loss: 2.980750E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.666 | TFLOPs: 43.44 | 7: iteration 6510/ 7508 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.56 | learning rate: 2.789E-05 | global batch size: 256 | lm loss: 2.962226E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.659 | TFLOPs: 43.35 | 7: iteration 6520/ 7508 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 0.56 | learning rate: 2.774E-05 | global batch size: 256 | lm loss: 2.964520E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.096 | TFLOPs: 43.29 | 7: iteration 6530/ 7508 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.58 | learning rate: 2.759E-05 | global batch size: 256 | lm loss: 2.946256E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 438.655 | TFLOPs: 41.82 | 7: iteration 6540/ 7508 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.57 | learning rate: 2.743E-05 | global batch size: 256 | lm loss: 2.960185E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.041 | TFLOPs: 43.10 | 7: iteration 6550/ 7508 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.57 | learning rate: 2.728E-05 | global batch size: 256 | lm loss: 2.985470E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.281 | TFLOPs: 43.02 | 7: iteration 6560/ 7508 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.59 | learning rate: 2.713E-05 | global batch size: 256 | lm loss: 2.958564E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.073 | TFLOPs: 41.57 | 7: iteration 6570/ 7508 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.59 | learning rate: 2.699E-05 | global batch size: 256 | lm loss: 2.965214E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 430.322 | TFLOPs: 41.03 | 7: iteration 6580/ 7508 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.62 | learning rate: 2.684E-05 | global batch size: 256 | lm loss: 2.991188E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 410.110 | TFLOPs: 39.10 | 7: iteration 6590/ 7508 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.70 | learning rate: 2.669E-05 | global batch size: 256 | lm loss: 2.981313E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.248 | TFLOPs: 35.01 | 7: iteration 6600/ 7508 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.60 | learning rate: 2.655E-05 | global batch size: 256 | lm loss: 3.010211E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 429.684 | TFLOPs: 40.97 | 7: iteration 6610/ 7508 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.56 | learning rate: 2.641E-05 | global batch size: 256 | lm loss: 2.984510E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.786 | TFLOPs: 43.55 | 7: iteration 6620/ 7508 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.59 | learning rate: 2.627E-05 | global batch size: 256 | lm loss: 2.951047E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 434.551 | TFLOPs: 41.43 | 7: iteration 6630/ 7508 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.61 | learning rate: 2.613E-05 | global batch size: 256 | lm loss: 2.978027E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 417.458 | TFLOPs: 39.80 | 7: iteration 6640/ 7508 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.56 | learning rate: 2.599E-05 | global batch size: 256 | lm loss: 2.960755E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.513 | TFLOPs: 43.43 | 7: iteration 6650/ 7508 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.69 | learning rate: 2.586E-05 | global batch size: 256 | lm loss: 2.965673E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.631 | TFLOPs: 35.43 | 7: iteration 6660/ 7508 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.63 | learning rate: 2.572E-05 | global batch size: 256 | lm loss: 2.987079E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 409.387 | TFLOPs: 39.03 | 7: iteration 6670/ 7508 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.57 | learning rate: 2.559E-05 | global batch size: 256 | lm loss: 2.967545E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.612 | TFLOPs: 42.87 | 7: iteration 6680/ 7508 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.57 | learning rate: 2.546E-05 | global batch size: 256 | lm loss: 2.978930E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.448 | TFLOPs: 43.04 | 7: iteration 6690/ 7508 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.56 | learning rate: 2.533E-05 | global batch size: 256 | lm loss: 2.978386E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.246 | TFLOPs: 43.31 | 7: iteration 6700/ 7508 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.58 | learning rate: 2.520E-05 | global batch size: 256 | lm loss: 2.956943E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 444.428 | TFLOPs: 42.37 | 7: iteration 6710/ 7508 | consumed samples: 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iteration 6740/ 7508 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.56 | learning rate: 2.470E-05 | global batch size: 256 | lm loss: 2.988783E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.134 | TFLOPs: 43.96 | 7: iteration 6750/ 7508 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.57 | learning rate: 2.458E-05 | global batch size: 256 | lm loss: 2.985939E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.372 | TFLOPs: 43.13 | 7: iteration 6760/ 7508 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 0.56 | learning rate: 2.446E-05 | global batch size: 256 | lm loss: 2.968943E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 457.950 | TFLOPs: 43.66 | 7: iteration 6770/ 7508 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 0.56 | learning rate: 2.435E-05 | global batch size: 256 | lm loss: 3.003178E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.948 | TFLOPs: 43.76 | 7: iteration 6780/ 7508 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 0.56 | learning rate: 2.423E-05 | global batch size: 256 | lm loss: 2.949305E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.117 | TFLOPs: 43.96 | 7: iteration 6790/ 7508 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 0.70 | learning rate: 2.412E-05 | global batch size: 256 | lm loss: 2.964761E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.142 | TFLOPs: 35.00 | 7: iteration 6800/ 7508 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.65 | learning rate: 2.400E-05 | global batch size: 256 | lm loss: 3.014590E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 396.298 | TFLOPs: 37.78 | 7: iteration 6810/ 7508 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 0.59 | learning rate: 2.389E-05 | global batch size: 256 | lm loss: 2.945099E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 436.529 | TFLOPs: 41.62 | 7: iteration 6820/ 7508 | consumed samples: 1745920 | consumed tokens: 3575644160 | elapsed time per iteration (s): 0.57 | learning rate: 2.378E-05 | global batch size: 256 | lm loss: 2.980190E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.152 | TFLOPs: 42.82 | 7: iteration 6830/ 7508 | consumed samples: 1748480 | consumed tokens: 3580887040 | elapsed time per iteration (s): 0.56 | learning rate: 2.367E-05 | global batch size: 256 | lm loss: 2.971993E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.993 | TFLOPs: 43.28 | 7: iteration 6840/ 7508 | consumed samples: 1751040 | consumed tokens: 3586129920 | elapsed time per iteration (s): 0.57 | learning rate: 2.357E-05 | global batch size: 256 | lm loss: 2.980289E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.373 | TFLOPs: 43.13 | 7: iteration 6850/ 7508 | consumed samples: 1753600 | consumed tokens: 3591372800 | elapsed time per iteration (s): 0.57 | learning rate: 2.346E-05 | global batch size: 256 | lm loss: 2.959142E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.228 | TFLOPs: 42.92 | 7: iteration 6860/ 7508 | consumed samples: 1756160 | consumed tokens: 3596615680 | elapsed time per iteration (s): 0.56 | learning rate: 2.336E-05 | global batch size: 256 | lm loss: 2.942008E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.459 | TFLOPs: 43.71 | 7: iteration 6870/ 7508 | consumed samples: 1758720 | consumed tokens: 3601858560 | elapsed time per iteration (s): 0.56 | learning rate: 2.326E-05 | global batch size: 256 | lm loss: 2.955273E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.485 | TFLOPs: 43.71 | 7: iteration 6880/ 7508 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 0.57 | learning rate: 2.316E-05 | global batch size: 256 | lm loss: 2.951917E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.587 | TFLOPs: 43.05 | 7: iteration 6890/ 7508 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 0.56 | learning rate: 2.306E-05 | global batch size: 256 | lm loss: 2.974718E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.577 | TFLOPs: 43.91 | 7: iteration 6900/ 7508 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 0.87 | learning rate: 2.296E-05 | global batch size: 256 | lm loss: 2.977376E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 295.369 | TFLOPs: 28.16 | 7: iteration 6910/ 7508 | consumed samples: 1768960 | consumed tokens: 3622830080 | elapsed time per iteration (s): 0.56 | learning rate: 2.286E-05 | global batch size: 256 | lm loss: 2.963410E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.288 | TFLOPs: 43.22 | 7: iteration 6920/ 7508 | consumed samples: 1771520 | consumed tokens: 3628072960 | elapsed time per iteration (s): 0.57 | learning rate: 2.277E-05 | global batch size: 256 | lm loss: 2.973555E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 452.224 | TFLOPs: 43.11 | 7: iteration 6930/ 7508 | consumed samples: 1774080 | consumed tokens: 3633315840 | elapsed time per iteration (s): 0.56 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 2.957263E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.149 | TFLOPs: 43.30 | 7: iteration 6940/ 7508 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 0.57 | learning rate: 2.258E-05 | global batch size: 256 | lm loss: 2.951806E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.966 | TFLOPs: 42.90 | 7: iteration 6950/ 7508 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.56 | learning rate: 2.249E-05 | global batch size: 256 | lm loss: 2.971831E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.416 | TFLOPs: 43.42 | 7: iteration 6960/ 7508 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.56 | learning rate: 2.241E-05 | global batch size: 256 | lm loss: 2.946022E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.571 | TFLOPs: 43.91 | 7: iteration 6970/ 7508 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.57 | learning rate: 2.232E-05 | global batch size: 256 | lm loss: 2.962206E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.865 | TFLOPs: 43.08 | 7: iteration 6980/ 7508 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.57 | learning rate: 2.223E-05 | global batch size: 256 | lm loss: 2.921258E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.031 | TFLOPs: 42.62 | 7: iteration 6990/ 7508 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.56 | learning rate: 2.215E-05 | global batch size: 256 | lm loss: 2.952674E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.341 | TFLOPs: 43.51 | 7: iteration 7000/ 7508 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.57 | learning rate: 2.207E-05 | global batch size: 256 | lm loss: 2.966997E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.556 | TFLOPs: 43.05 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 2.858569E+00 | lm loss PPL: 1.743656E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_421moscar 0: [2022-11-29 18:02:10,261] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-29 18:02:10,326] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:02:10,722] [INFO] 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checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2022-11-29 18:02:11,659] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-29 18:02:11,655] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:02:11,661] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:02:11,661] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2022-11-29 18:02:11,661] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-29 18:02:11,655] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-29 18:02:11,661] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-29 18:02:11,662] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:02:11,662] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-29 18:02:11,662] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: [2022-11-29 18:02:11,676] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2022-11-29 18:02:11,676] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2022-11-29 18:02:11,686] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-29 18:02:11,665] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:02:11,665] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2022-11-29 18:02:11,665] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-29 18:02:11,669] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:02:11,669] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-29 18:02:11,669] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-29 18:02:11,671] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:02:11,671] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-29 18:02:11,671] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 5: [2022-11-29 18:02:11,676] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-29 18:02:11,676] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-29 18:02:11,867] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-29 18:02:11,867] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 6: [2022-11-29 18:02:11,871] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_421moscar 7: time (ms) | save-checkpoint: 1722.62 7: iteration 7010/ 7508 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.76 | learning rate: 2.199E-05 | global batch size: 256 | lm loss: 2.981154E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.926 | TFLOPs: 32.22 | 7: iteration 7020/ 7508 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.56 | learning rate: 2.191E-05 | global batch size: 256 | lm loss: 2.958582E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.461 | TFLOPs: 43.80 | 7: iteration 7030/ 7508 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.56 | learning rate: 2.183E-05 | global batch size: 256 | lm loss: 2.964995E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.134 | TFLOPs: 43.77 | 7: iteration 7040/ 7508 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.55 | learning rate: 2.176E-05 | global batch size: 256 | lm loss: 2.969609E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.452 | TFLOPs: 43.99 | 7: iteration 7050/ 7508 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.56 | learning rate: 2.168E-05 | global batch size: 256 | lm loss: 2.976188E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.812 | TFLOPs: 43.93 | 7: iteration 7060/ 7508 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.57 | learning rate: 2.161E-05 | global batch size: 256 | lm loss: 2.984895E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.561 | TFLOPs: 42.77 | 7: iteration 7070/ 7508 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.70 | learning rate: 2.154E-05 | global batch size: 256 | lm loss: 2.941167E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.903 | TFLOPs: 34.79 | 7: iteration 7080/ 7508 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.60 | learning rate: 2.147E-05 | global batch size: 256 | lm loss: 2.962628E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 423.853 | TFLOPs: 40.41 | 7: iteration 7090/ 7508 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.57 | learning rate: 2.140E-05 | global batch size: 256 | lm loss: 2.960954E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 448.384 | TFLOPs: 42.75 | 7: iteration 7100/ 7508 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.56 | learning rate: 2.134E-05 | global batch size: 256 | lm loss: 2.960176E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.934 | TFLOPs: 43.37 | 7: iteration 7110/ 7508 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.56 | learning rate: 2.127E-05 | global batch size: 256 | lm loss: 2.978084E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.253 | TFLOPs: 43.21 | 7: iteration 7120/ 7508 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.56 | learning rate: 2.121E-05 | global batch size: 256 | lm loss: 2.979277E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.285 | TFLOPs: 43.69 | 7: iteration 7130/ 7508 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.57 | learning rate: 2.115E-05 | global batch size: 256 | lm loss: 2.983127E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.313 | TFLOPs: 42.55 | 7: iteration 7140/ 7508 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.57 | learning rate: 2.109E-05 | global batch size: 256 | lm loss: 2.973146E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.750 | TFLOPs: 42.69 | 7: iteration 7150/ 7508 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.58 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.979718E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.176 | TFLOPs: 42.44 | 7: iteration 7160/ 7508 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.58 | learning rate: 2.097E-05 | global batch size: 256 | lm loss: 2.957079E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 443.829 | TFLOPs: 42.31 | 7: iteration 7170/ 7508 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.56 | learning rate: 2.092E-05 | global batch size: 256 | lm loss: 2.949294E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.779 | TFLOPs: 43.55 | 7: iteration 7180/ 7508 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.56 | learning rate: 2.087E-05 | global batch size: 256 | lm loss: 2.959209E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 461.031 | TFLOPs: 43.95 | 7: iteration 7190/ 7508 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.57 | learning rate: 2.081E-05 | global batch size: 256 | lm loss: 2.982593E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.050 | TFLOPs: 42.81 | 7: iteration 7200/ 7508 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.56 | learning rate: 2.076E-05 | global batch size: 256 | lm loss: 2.922289E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.833 | TFLOPs: 43.27 | 7: iteration 7210/ 7508 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.57 | learning rate: 2.071E-05 | global batch size: 256 | lm loss: 2.987403E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.456 | TFLOPs: 42.95 | 7: iteration 7220/ 7508 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.56 | learning rate: 2.067E-05 | global batch size: 256 | lm loss: 2.965555E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 456.001 | TFLOPs: 43.47 | 7: iteration 7230/ 7508 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.64 | learning rate: 2.062E-05 | global batch size: 256 | lm loss: 2.958902E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 398.564 | TFLOPs: 38.00 | 7: iteration 7240/ 7508 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.56 | learning rate: 2.058E-05 | global batch size: 256 | lm loss: 2.944448E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.691 | TFLOPs: 43.25 | 7: iteration 7250/ 7508 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.58 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.970836E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 441.428 | TFLOPs: 42.09 | 7: iteration 7260/ 7508 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.56 | learning rate: 2.050E-05 | global batch size: 256 | lm loss: 2.952397E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.561 | TFLOPs: 43.43 | 7: iteration 7270/ 7508 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.56 | learning rate: 2.046E-05 | global batch size: 256 | lm loss: 2.977472E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 459.490 | TFLOPs: 43.81 | 7: iteration 7280/ 7508 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.56 | learning rate: 2.042E-05 | global batch size: 256 | lm loss: 2.943424E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 460.715 | TFLOPs: 43.92 | 7: iteration 7290/ 7508 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.56 | learning rate: 2.038E-05 | global batch size: 256 | lm loss: 2.956812E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.802 | TFLOPs: 43.36 | 7: iteration 7300/ 7508 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.57 | learning rate: 2.035E-05 | global batch size: 256 | lm loss: 2.976246E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.886 | TFLOPs: 42.89 | 7: iteration 7310/ 7508 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.58 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.964425E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 445.053 | TFLOPs: 42.43 | 7: iteration 7320/ 7508 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.57 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 2.964277E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.699 | TFLOPs: 42.87 | 7: iteration 7330/ 7508 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.58 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.952487E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 437.930 | TFLOPs: 41.75 | 7: iteration 7340/ 7508 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.57 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.940125E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.240 | TFLOPs: 42.54 | 7: iteration 7350/ 7508 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.56 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.990954E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.151 | TFLOPs: 43.20 | 7: iteration 7360/ 7508 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.57 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.981512E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 450.492 | TFLOPs: 42.95 | 7: iteration 7370/ 7508 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.57 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.949195E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 446.971 | TFLOPs: 42.61 | 7: iteration 7380/ 7508 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.56 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.952882E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 458.212 | TFLOPs: 43.69 | 7: iteration 7390/ 7508 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.58 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.937130E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 442.812 | TFLOPs: 42.22 | 7: iteration 7400/ 7508 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 0.57 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.955361E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.122 | TFLOPs: 43.01 | 7: iteration 7410/ 7508 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.56 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.943304E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 454.483 | TFLOPs: 43.33 | 7: iteration 7420/ 7508 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.57 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.954021E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 449.905 | TFLOPs: 42.89 | 7: iteration 7430/ 7508 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.56 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.958958E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.433 | TFLOPs: 43.42 | 7: iteration 7440/ 7508 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.56 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.956088E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.301 | TFLOPs: 43.22 | 7: iteration 7450/ 7508 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.59 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.967162E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 435.927 | TFLOPs: 41.56 | 7: iteration 7460/ 7508 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.56 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.972096E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.495 | TFLOPs: 43.24 | 7: iteration 7470/ 7508 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.57 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.952355E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 451.295 | TFLOPs: 43.03 | 7: iteration 7480/ 7508 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 0.57 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.930433E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 447.389 | TFLOPs: 42.65 | 7: iteration 7490/ 7508 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 0.56 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.949854E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 455.524 | TFLOPs: 43.43 | 7: iteration 7500/ 7508 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 0.56 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.966339E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 453.494 | TFLOPs: 43.24 | 0: [after training is done] datetime: 2022-11-29 18:07:02 0: saving checkpoint at iteration 7508 to checkpoints_421moscar 7: ------------------------------------------------------------------------------------------------------------ 7: valid loss at the end of training for val data | lm loss value: 2.990056E+00 | lm loss PPL: 1.988679E+01 | 7: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-29 18:07:02,387] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7508 is begin to save! 0: [2022-11-29 18:07:02,391] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step7508/layer_01-model_00-model_states.pt... 0: [2022-11-29 18:07:02,549] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7508/layer_01-model_00-model_states.pt. 0: [2022-11-29 18:07:02,549] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_421moscar/global_step7508/layer_03-model_00-model_states.pt... 0: [2022-11-29 18:07:02,592] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7508/layer_03-model_00-model_states.pt. 0: [2022-11-29 18:07:02,593] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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bf16_zero checkpoint saved checkpoints_421moscar/global_step7508/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-29 18:07:03,463] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_421moscar/global_step7508/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-29 18:07:03,463] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7508 is ready now! 7: [2022-11-29 18:07:03,463] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7508 is ready now! 6: [2022-11-29 18:07:03,480] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7508/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:07:03,480] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_421moscar/global_step7508/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-29 18:07:03,480] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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training for test data | lm loss value: 2.876468E+00 | lm loss PPL: 1.775146E+01 | 7: ------------------------------------------------------------------------------------------------------------ END 2085607: Tue Nov 29 18:07:15 EET 2022