Model parameters: d_model 2304 ffw_size 9216 kv_size 128 n_heads 18 n_layers 32 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 32 --hidden-size 2304 --num-attention-heads 18 --kv-channels 128 --ffn-hidden-size 9216 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 2 --global-batch-size 512 --train-samples 22_565_693 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-2b2 --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 22_565_693 --lr-warmup-samples 225_657 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_2b2 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_2b2 --load checkpoints_2b2 --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2068551.json --zero-stage 0 START 2068551: Thu Nov 24 21:53:54 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 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 48.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 46.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 38.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= 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 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 39.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 47.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 46.0c 81.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 34.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= 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 39.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 40.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 43.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 51.0c 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 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 37.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 46.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 44.0c 84.0W 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 ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 43.0c 79.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 49.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 40.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= 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 41.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 44.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 41.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 3: Launching on nid005003 (3/8), master nid005000 port 9999, GPUs 8, CUDA: True 5: Launching on nid005046 (5/8), master nid005000 port 9999, GPUs 8, CUDA: True 7: Launching on nid005048 (7/8), master nid005000 port 9999, GPUs 8, CUDA: True 2: Launching on nid005002 (2/8), master nid005000 port 9999, GPUs 8, CUDA: True 4: Launching on nid005004 (4/8), master nid005000 port 9999, GPUs 8, CUDA: True 0: Launching on nid005000 (0/8), master nid005000 port 9999, GPUs 8, CUDA: True 1: Launching on nid005001 (1/8), master nid005000 port 9999, GPUs 8, CUDA: True 6: Launching on nid005047 (6/8), master nid005000 port 9999, GPUs 8, CUDA: True 0: using world size: 64, data-parallel-size: 64, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... False 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 64 0: data_path ....................................... ['/scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document'] 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/2068551.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 ................................. 9216 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 ............................... 512 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 2304 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-2b2 0: kv_channels ..................................... 128 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_2b2 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 ................................ 22565693 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 225657 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 ................................ 2 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 ............................. 18 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 32 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_2b2 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_2b2 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 ................................... 22565693 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 4 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: [2022-11-24 21:54:29,652] [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: 0.079 seconds 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: [1/1] c++ scaled_upper_triang_masked_softmax_hip.o scaled_upper_triang_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_upper_triang_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: [1/1] c++ scaled_masked_softmax_hip.o scaled_masked_softmax_hip.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: [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: 18.243 seconds 0: time to initialize megatron (seconds): 11.672 0: [after megatron is initialized] datetime: 2022-11-24 21:54:51 0: building GPT model ... 0: [2022-11-24 21:54:51,727] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-24 21:54:51,727] [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: [2022-11-24 21:54:51,727] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.64 GB, percent = 5.9% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63} 0: [2022-11-24 21:54:53,719] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=39 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: ParallelTransformerLayerPipe 0: 22: ParallelTransformerLayerPipe 0: 23: ParallelTransformerLayerPipe 0: 24: ParallelTransformerLayerPipe 0: 25: ParallelTransformerLayerPipe 0: 26: ParallelTransformerLayerPipe 0: 27: ParallelTransformerLayerPipe 0: 28: ParallelTransformerLayerPipe 0: 29: ParallelTransformerLayerPipe 0: 30: ParallelTransformerLayerPipe 0: 31: ParallelTransformerLayerPipe 0: 32: ParallelTransformerLayerPipe 0: 33: ParallelTransformerLayerPipe 0: 34: ParallelTransformerLayerPipe 0: 35: undo 0: 36: MixedFusedLayerNorm 0: 37: EmbeddingPipe 0: 38: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-24 21:54:53,998] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-24 21:54:53,998] [INFO] [utils.py:828:see_memory_usage] MA 4.03 GB Max_MA 4.03 GB CA 4.24 GB Max_CA 4 GB 0: [2022-11-24 21:54:53,999] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 29.68 GB, percent = 5.9% 0: setting training iterations to 44073 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-24 21:54:54,001] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-24 21:55:07,739] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-24 21:55:07,739] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-24 21:55:07,739] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-24 21:55:07,756] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-24 21:55:07,756] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-24 21:55:07,799] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-24 21:55:07,799] [INFO] [utils.py:828:see_memory_usage] MA 4.02 GB Max_MA 4.04 GB CA 4.26 GB Max_CA 4 GB 0: [2022-11-24 21:55:07,799] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.35 GB, percent = 6.0% 0: ninja: no work to do. 4: Time to load utils op: 0.009452581405639648 secondsTime to load utils op: 0.009412765502929688 secondsTime to load utils op: 0.009423255920410156 seconds 4: 4: 4: Time to load utils op: 0.009052276611328125 seconds 4: Time to load utils op: 0.011083364486694336 seconds 0: Time to load utils op: 0.16979527473449707 seconds 5: ninja: no work to do. 5: Time to load utils op: 0.12822890281677246 seconds 6: Time to load utils op: 0.11031985282897949 seconds 6: Time to load utils op: 0.11032366752624512 seconds 6: Time to load utils op: 0.11033248901367188 secondsTime to load utils op: 0.11032915115356445 seconds 6: 6: Time to load 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2: Time to load utils op: 0.11115193367004395 seconds 3: Time to load utils op: 0.3107938766479492 seconds 0: Time to load utils op: 0.3034367561340332 seconds 0: Time to load utils op: 0.20168805122375488 seconds 0: Time to load utils op: 0.2019031047821045 seconds 0: Time to load utils op: 0.2020571231842041 seconds 0: Time to load utils op: 0.20173382759094238 seconds 0: Time to load utils op: 0.20193266868591309 seconds 0: Time to load utils op: 0.2017967700958252 seconds 5: Time to load utils op: 0.20375752449035645 seconds 5: Time to load utils op: 0.20415234565734863 seconds 4: Time to load utils op: 0.20471453666687012 seconds 5: Time to load utils op: 0.20292067527770996 seconds 5: Time to load utils op: 0.20364117622375488 seconds 4: Time to load utils op: 0.2047405242919922 seconds 4: Time to load utils op: 0.2046947479248047 seconds 5: Time to load utils op: 0.2036120891571045 seconds 5: Time to load utils op: 0.2034153938293457 seconds 5: Time to load utils op: 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GB Max_MA 4.02 GB CA 4.26 GB Max_CA 4 GB 0: [2022-11-24 21:55:08,144] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.36 GB, percent = 6.0% 7: Time to load utils op: 0.0005371570587158203 seconds 1: Time to load utils op: 0.0006802082061767578 seconds 7: Time to load utils op: 0.0004150867462158203 seconds 3: Time to load utils op: 0.00036025047302246094 secondsTime to load utils op: 0.0005123615264892578 seconds 3: 7: Time to load utils op: 0.0004477500915527344 seconds 7: Time to load utils op: 0.0004947185516357422 seconds 0: Time to load utils op: 0.0006539821624755859 seconds 0: Time to load utils op: 0.0006265640258789062 seconds 0: Time to load utils op: 0.0006611347198486328 seconds 4: Time to load utils op: 0.0005261898040771484 seconds 0: Time to load utils op: 0.0006442070007324219 secondsTime to load utils op: 0.0006833076477050781 seconds 0: 4: Time to load utils op: 0.0005712509155273438 seconds 7: Time to load utils op: 0.0004661083221435547 seconds 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seconds 4: Time to load utils op: 0.0008480548858642578 seconds 5: Time to load utils op: 0.0010821819305419922 secondsTime to load utils op: 0.0011167526245117188 seconds 5: 5: Time to load utils op: 0.0008568763732910156 seconds 1: Time to load utils op: 0.0012197494506835938 secondsTime to load utils op: 0.0011036396026611328 seconds 1: 1: Time to load utils op: 0.001359701156616211 seconds 5: Time to load utils op: 0.0012679100036621094 seconds 1: Time to load utils op: 0.001280069351196289 seconds 1: Time to load utils op: 0.001302480697631836 seconds 6: Time to load utils op: 0.0012004375457763672 seconds 5: Time to load utils op: 0.0012502670288085938 seconds 5: Time to load utils op: 0.0012714862823486328 seconds 5: Time to load utils op: 0.001378774642944336 seconds 5: Time to load utils op: 0.0013718605041503906 seconds 2: Time to load utils op: 0.001373291015625 seconds 2: Time to load utils op: 0.001552581787109375 seconds 6: Time to load utils op: 0.0013051033020019531 seconds 6: Time to load utils op: 0.0013082027435302734 seconds 2: Time to load utils op: 0.0015468597412109375 seconds 6: Time to load utils op: 0.0013585090637207031 secondsTime to load utils op: 0.00130462646484375 seconds 6: 6: Time to load utils op: 0.0013391971588134766 seconds 6: Time to load utils op: 0.0013353824615478516 seconds 2: Time to load utils op: 0.0017516613006591797 seconds 6: Time to load utils op: 0.0015583038330078125 seconds 2: Time to load utils op: 0.0019872188568115234 seconds 2: Time to load utils op: 0.0019445419311523438 secondsTime to load utils op: 0.0017209053039550781 seconds 2: 2: Time to load utils op: 0.001768350601196289 seconds 0: [2022-11-24 21:55:08,410] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2022-11-24 21:55:08,411] [INFO] [utils.py:828:see_memory_usage] MA 8.26 GB Max_MA 8.26 GB CA 10.51 GB Max_CA 11 GB 0: [2022-11-24 21:55:08,411] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.39 GB, percent = 6.0% 0: [2022-11-24 21:55:08,444] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-24 21:55:08,445] [INFO] [utils.py:828:see_memory_usage] MA 8.26 GB Max_MA 8.26 GB CA 10.51 GB Max_CA 11 GB 0: [2022-11-24 21:55:08,445] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.48 GB, percent = 6.1% 0: [2022-11-24 21:55:08,479] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-24 21:55:08,480] [INFO] [utils.py:828:see_memory_usage] MA 12.19 GB Max_MA 12.19 GB CA 16.33 GB Max_CA 16 GB 0: [2022-11-24 21:55:08,480] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.51 GB, percent = 6.1% 0: [2022-11-24 21:55:08,511] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-24 21:55:08,512] [INFO] [utils.py:828:see_memory_usage] MA 12.19 GB Max_MA 12.19 GB CA 16.33 GB Max_CA 16 GB 0: [2022-11-24 21:55:08,512] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.51 GB, percent = 6.1% 0: [2022-11-24 21:55:08,548] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-24 21:55:08,549] [INFO] [utils.py:828:see_memory_usage] MA 12.2 GB Max_MA 12.2 GB CA 16.33 GB Max_CA 16 GB 0: [2022-11-24 21:55:08,549] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.51 GB, percent = 6.1% 0: [2022-11-24 21:55:08,581] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-24 21:55:08,581] [INFO] [utils.py:828:see_memory_usage] MA 12.2 GB Max_MA 12.2 GB CA 16.33 GB Max_CA 16 GB 0: [2022-11-24 21:55:08,581] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.51 GB, percent = 6.1% 0: [2022-11-24 21:55:08,619] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-24 21:55:08,619] [INFO] [utils.py:828:see_memory_usage] MA 12.45 GB Max_MA 12.45 GB CA 16.52 GB Max_CA 17 GB 0: [2022-11-24 21:55:08,619] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.51 GB, percent = 6.1% 0: [2022-11-24 21:55:08,652] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-24 21:55:08,652] [INFO] [utils.py:828:see_memory_usage] MA 12.45 GB Max_MA 12.45 GB CA 16.52 GB Max_CA 17 GB 0: [2022-11-24 21:55:08,653] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 30.51 GB, percent = 6.1% 0: [2022-11-24 21:55:08,653] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-24 21:55:08,653] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-24 21:55:08,653] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-24 21:55:08,653] [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: [2022-11-24 21:55:08,653] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-24 21:55:08,654] [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: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-24 21:55:08,654] [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: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-24 21:55:08,654] [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: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-24 21:55:08,654] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-24 21:55:08,654] [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: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 4 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-24 21:55:08,655] [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: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] train_batch_size ............. 512 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 2 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] world_size ................... 64 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-24 21:55:08,655] [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: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-24 21:55:08,655] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-24 21:55:08,655] [INFO] [config.py:996:print_user_config] json = { 0: "train_micro_batch_size_per_gpu": 2, 0: "train_batch_size": 512, 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: 0.0004131793975830078 seconds 0: [2022-11-24 21:55:08,656] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=4 micro_batch_size=2 0: [2022-11-24 21:55:08,710] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=39 [0, 39) STAGE_PARAMS=2160013824 (2160.014M) TOTAL_PARAMS=2160013824 (2160.014M) UNIQUE_PARAMS=2160013824 (2160.014M) 4: [2022-11-24 21:55:08,715] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 21:55:08,715] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 21:55:08,715] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,715] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/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_2b2 0: will not load any checkpoints and will start from random 0: [2022-11-24 21:55:08,715] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 21:55:08,715] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,715] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,717] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-24 21:55:08,716] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,717] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-24 21:55:08,717] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,717] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-24 21:55:08,717] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_2b2/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: time (ms) | load-checkpoint: 6.88 0: estimated model parameters: 2.160013824 0: estimated model parameters without embeddings: 2.039394816 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-24 21:55:09 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 22565693 0: validation: 23040 0: test: 512 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 0.006931 seconds 0: number of documents: 210604984 0: > dataset split: 0: train: 0: document indices in [0, 199864130) total of 199864130 documents 0: validation: 0: document indices in [199864130, 210394379) total of 10530249 documents 0: test: 0: document indices in [210394379, 210604984) total of 210605 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_22565693ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_22565693ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_22565693ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.087 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_23040ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_23040ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_23040ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.070 seconds 0: total number of samples: 9118345 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_512ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_512ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_512ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.066 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-24 21:55:27 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: 17470.85 | train/valid/test-data-iterators-setup: 18109.94 0: [000-000] 2.1600B / 2.0394B 0: [before the start of training step] datetime: 2022-11-24 21:55:27 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 18448.37548828125 | max allocated: 52513.4677734375 | reserved: 59052.0 | max reserved: 59052.0 7: iteration 10/ 44073 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 5.93 | learning rate: 4.538E-06 | global batch size: 512 | lm loss: 1.031786E+01 | grad norm: 21.832 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 86.410 | TFLOPs: 40.27 | 7: iteration 20/ 44073 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 4.14 | learning rate: 9.076E-06 | global batch size: 512 | lm loss: 8.693311E+00 | grad norm: 8.736 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.684 | TFLOPs: 57.64 | 7: iteration 30/ 44073 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 4.14 | learning rate: 1.361E-05 | global batch size: 512 | lm loss: 8.206876E+00 | grad norm: 5.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.814 | TFLOPs: 57.70 | 7: iteration 40/ 44073 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 4.15 | learning rate: 1.815E-05 | global batch size: 512 | lm loss: 7.840375E+00 | grad norm: 3.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.271 | TFLOPs: 57.45 | 7: iteration 50/ 44073 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 6.64 | learning rate: 2.269E-05 | global batch size: 512 | lm loss: 7.448897E+00 | grad norm: 2.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 77.058 | TFLOPs: 35.91 | 7: iteration 60/ 44073 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 4.15 | learning rate: 2.723E-05 | global batch size: 512 | lm loss: 7.088107E+00 | grad norm: 1.890 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.451 | TFLOPs: 57.53 | 7: iteration 70/ 44073 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 4.16 | learning rate: 3.177E-05 | global batch size: 512 | lm loss: 6.849487E+00 | grad norm: 2.853 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.976 | TFLOPs: 57.31 | 7: iteration 80/ 44073 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 4.16 | learning rate: 3.630E-05 | global batch size: 512 | lm loss: 6.655862E+00 | grad norm: 2.785 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.095 | TFLOPs: 57.37 | 7: iteration 90/ 44073 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 4.17 | learning rate: 4.084E-05 | global batch size: 512 | lm loss: 6.516167E+00 | grad norm: 3.844 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.801 | TFLOPs: 57.23 | 7: iteration 100/ 44073 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 4.18 | learning rate: 4.538E-05 | global batch size: 512 | lm loss: 6.367654E+00 | grad norm: 2.803 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.593 | TFLOPs: 57.13 | 7: iteration 110/ 44073 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 4.20 | learning rate: 4.992E-05 | global batch size: 512 | lm loss: 6.223198E+00 | grad norm: 2.811 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.949 | TFLOPs: 56.83 | 7: iteration 120/ 44073 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 4.17 | learning rate: 5.445E-05 | global batch size: 512 | lm loss: 6.138682E+00 | grad norm: 2.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.798 | TFLOPs: 57.23 | 7: iteration 130/ 44073 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 4.15 | learning rate: 5.899E-05 | global batch size: 512 | lm loss: 6.034589E+00 | grad norm: 2.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.266 | TFLOPs: 57.45 | 7: iteration 140/ 44073 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 4.17 | learning rate: 6.353E-05 | global batch size: 512 | lm loss: 5.951537E+00 | grad norm: 3.757 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.785 | TFLOPs: 57.22 | 7: iteration 150/ 44073 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 4.16 | learning rate: 6.807E-05 | global batch size: 512 | lm loss: 5.848100E+00 | grad norm: 2.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.935 | TFLOPs: 57.29 | 7: iteration 160/ 44073 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 4.20 | learning rate: 7.261E-05 | global batch size: 512 | lm loss: 5.820253E+00 | grad norm: 1.736 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.860 | TFLOPs: 56.79 | 7: iteration 170/ 44073 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 4.18 | learning rate: 7.714E-05 | global batch size: 512 | lm loss: 5.755837E+00 | grad norm: 1.579 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.466 | TFLOPs: 57.08 | 7: iteration 180/ 44073 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 4.20 | learning rate: 8.168E-05 | global batch size: 512 | lm loss: 5.684624E+00 | grad norm: 1.668 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.895 | TFLOPs: 56.81 | 7: iteration 190/ 44073 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 4.18 | learning rate: 8.622E-05 | global batch size: 512 | lm loss: 5.588400E+00 | grad norm: 1.683 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.624 | TFLOPs: 57.15 | 7: iteration 200/ 44073 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 4.17 | learning rate: 9.076E-05 | global batch size: 512 | lm loss: 5.564513E+00 | grad norm: 2.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.770 | TFLOPs: 57.22 | 7: iteration 210/ 44073 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 4.16 | learning rate: 9.530E-05 | global batch size: 512 | lm loss: 5.530732E+00 | grad norm: 1.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.974 | TFLOPs: 57.31 | 7: iteration 220/ 44073 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 4.17 | learning rate: 9.983E-05 | global batch size: 512 | lm loss: 5.467340E+00 | grad norm: 1.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.741 | TFLOPs: 57.20 | 7: iteration 230/ 44073 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 4.19 | learning rate: 1.044E-04 | global batch size: 512 | lm loss: 5.414989E+00 | grad norm: 1.642 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.085 | TFLOPs: 56.90 | 7: iteration 240/ 44073 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 4.18 | learning rate: 1.089E-04 | global batch size: 512 | lm loss: 5.367589E+00 | grad norm: 1.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.585 | TFLOPs: 57.13 | 7: iteration 250/ 44073 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 4.17 | learning rate: 1.134E-04 | global batch size: 512 | lm loss: 5.305630E+00 | grad norm: 1.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.922 | TFLOPs: 57.29 | 7: iteration 260/ 44073 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 4.18 | learning rate: 1.180E-04 | global batch size: 512 | lm loss: 5.271925E+00 | grad norm: 1.101 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.384 | TFLOPs: 57.04 | 7: iteration 270/ 44073 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 4.22 | learning rate: 1.225E-04 | global batch size: 512 | lm loss: 5.235262E+00 | grad norm: 1.745 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.419 | TFLOPs: 56.59 | 7: iteration 280/ 44073 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 4.21 | learning rate: 1.271E-04 | global batch size: 512 | lm loss: 5.242725E+00 | grad norm: 1.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.661 | TFLOPs: 56.70 | 7: iteration 290/ 44073 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 4.19 | learning rate: 1.316E-04 | global batch size: 512 | lm loss: 5.169073E+00 | grad norm: 0.945 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.102 | TFLOPs: 56.91 | 7: iteration 300/ 44073 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 4.18 | learning rate: 1.361E-04 | global batch size: 512 | lm loss: 5.102835E+00 | grad norm: 0.920 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.364 | TFLOPs: 57.03 | 7: iteration 310/ 44073 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 4.15 | learning rate: 1.407E-04 | global batch size: 512 | lm loss: 5.055267E+00 | grad norm: 0.978 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.296 | TFLOPs: 57.46 | 7: iteration 320/ 44073 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 4.17 | learning rate: 1.452E-04 | global batch size: 512 | lm loss: 5.080972E+00 | grad norm: 1.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.693 | TFLOPs: 57.18 | 7: iteration 330/ 44073 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 4.16 | learning rate: 1.497E-04 | global batch size: 512 | lm loss: 5.018291E+00 | grad norm: 1.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.175 | TFLOPs: 57.41 | 7: iteration 340/ 44073 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 4.15 | learning rate: 1.543E-04 | global batch size: 512 | lm loss: 4.940012E+00 | grad norm: 0.716 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.347 | TFLOPs: 57.49 | 7: iteration 350/ 44073 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 4.15 | learning rate: 1.588E-04 | global batch size: 512 | lm loss: 4.908014E+00 | grad norm: 0.819 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.236 | TFLOPs: 57.43 | 7: iteration 360/ 44073 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 4.23 | learning rate: 1.634E-04 | global batch size: 512 | lm loss: 4.930172E+00 | grad norm: 1.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.071 | TFLOPs: 56.43 | 7: iteration 370/ 44073 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 4.15 | learning rate: 1.679E-04 | global batch size: 512 | lm loss: 4.886673E+00 | grad norm: 1.019 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.505 | TFLOPs: 57.56 | 7: iteration 380/ 44073 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 4.17 | learning rate: 1.724E-04 | global batch size: 512 | lm loss: 4.803664E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.908 | TFLOPs: 57.28 | 7: iteration 390/ 44073 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 4.18 | learning rate: 1.770E-04 | global batch size: 512 | lm loss: 4.803553E+00 | grad norm: 0.872 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.359 | TFLOPs: 57.03 | 7: iteration 400/ 44073 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 4.17 | learning rate: 1.815E-04 | global batch size: 512 | lm loss: 4.708539E+00 | grad norm: 0.658 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.813 | TFLOPs: 57.24 | 7: iteration 410/ 44073 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 4.20 | learning rate: 1.861E-04 | global batch size: 512 | lm loss: 4.700165E+00 | grad norm: 0.769 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.987 | TFLOPs: 56.85 | 7: iteration 420/ 44073 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 4.17 | learning rate: 1.906E-04 | global batch size: 512 | lm loss: 4.663181E+00 | grad norm: 0.693 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.800 | TFLOPs: 57.23 | 7: iteration 430/ 44073 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 4.22 | learning rate: 1.951E-04 | global batch size: 512 | lm loss: 4.603146E+00 | grad norm: 0.677 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.412 | TFLOPs: 56.58 | 7: iteration 440/ 44073 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 4.16 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 4.622343E+00 | grad norm: 0.937 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.084 | TFLOPs: 57.36 | 7: iteration 450/ 44073 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 4.18 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.582607E+00 | grad norm: 1.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.502 | TFLOPs: 57.09 | 7: iteration 460/ 44073 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 4.19 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.559572E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.112 | TFLOPs: 56.91 | 7: iteration 470/ 44073 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 4.20 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.427233E+00 | grad norm: 0.608 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.992 | TFLOPs: 56.85 | 7: iteration 480/ 44073 | consumed samples: 245760 | consumed tokens: 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samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 4.14 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.270889E+00 | grad norm: 0.669 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.648 | TFLOPs: 57.63 | 7: iteration 520/ 44073 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.238422E+00 | grad norm: 0.712 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.022 | TFLOPs: 57.33 | 7: iteration 530/ 44073 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 4.18 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.159966E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.396 | TFLOPs: 57.04 | 7: iteration 540/ 44073 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 4.15 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.100504E+00 | grad norm: 0.831 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.236 | TFLOPs: 57.43 | 7: iteration 550/ 44073 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 4.17 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 4.055560E+00 | grad norm: 0.705 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.890 | TFLOPs: 57.27 | 7: iteration 560/ 44073 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.953367E+00 | grad norm: 0.682 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.931 | TFLOPs: 57.29 | 7: iteration 570/ 44073 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 4.15 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.864960E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.267 | TFLOPs: 57.45 | 7: iteration 580/ 44073 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.812043E+00 | grad norm: 0.721 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.936 | TFLOPs: 57.29 | 7: iteration 590/ 44073 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.752113E+00 | grad norm: 0.550 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.223 | TFLOPs: 57.43 | 7: iteration 600/ 44073 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 4.20 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.704802E+00 | grad norm: 0.661 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.037 | TFLOPs: 56.88 | 7: iteration 610/ 44073 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.619638E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.149 | TFLOPs: 57.39 | 7: iteration 620/ 44073 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 4.17 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.597163E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.905 | TFLOPs: 57.28 | 7: iteration 630/ 44073 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 4.15 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.513525E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.448 | TFLOPs: 57.53 | 7: iteration 640/ 44073 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 4.19 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.537682E+00 | grad norm: 0.540 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.148 | TFLOPs: 56.93 | 7: iteration 650/ 44073 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 4.18 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.440879E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.458 | TFLOPs: 57.07 | 7: iteration 660/ 44073 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.460236E+00 | grad norm: 0.557 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.106 | TFLOPs: 57.37 | 7: iteration 670/ 44073 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 4.17 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.444968E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.802 | TFLOPs: 57.23 | 7: iteration 680/ 44073 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 4.19 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.385626E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.083 | TFLOPs: 56.90 | 7: iteration 690/ 44073 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 4.20 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.399790E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.912 | TFLOPs: 56.82 | 7: iteration 700/ 44073 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 4.20 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.385705E+00 | grad norm: 0.369 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.031 | TFLOPs: 56.87 | 7: iteration 710/ 44073 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 4.18 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.341087E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.531 | TFLOPs: 57.11 | 7: iteration 720/ 44073 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 4.21 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.327607E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.490 | TFLOPs: 56.62 | 7: iteration 730/ 44073 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 4.17 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.329799E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.763 | TFLOPs: 57.21 | 7: iteration 740/ 44073 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 4.19 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.287175E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.162 | TFLOPs: 56.93 | 7: iteration 750/ 44073 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 4.18 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.285693E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.510 | TFLOPs: 57.10 | 7: iteration 760/ 44073 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.276583E+00 | grad norm: 0.835 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.968 | TFLOPs: 57.31 | 7: iteration 770/ 44073 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed 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consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.160024E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.152 | TFLOPs: 57.39 | 7: iteration 840/ 44073 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 4.19 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.137240E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.295 | TFLOPs: 57.00 | 7: iteration 850/ 44073 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 4.17 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.172816E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.764 | TFLOPs: 57.21 | 7: iteration 860/ 44073 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 4.20 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.122580E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.805 | TFLOPs: 56.77 | 7: iteration 870/ 44073 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 4.17 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.123966E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.913 | TFLOPs: 57.28 | 7: iteration 880/ 44073 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 4.19 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.116187E+00 | grad norm: 0.743 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.234 | TFLOPs: 56.97 | 7: iteration 890/ 44073 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 4.16 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.128916E+00 | grad norm: 0.817 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.971 | TFLOPs: 57.31 | 7: iteration 900/ 44073 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 4.21 | learning rate: 2.000E-04 | global batch size: 512 | lm loss: 3.284354E+00 | grad norm: 2.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.533 | TFLOPs: 56.64 | 7: iteration 910/ 44073 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 4.17 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.324784E+00 | grad norm: 0.903 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.671 | TFLOPs: 57.17 | 7: iteration 920/ 44073 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 4.56 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.283570E+00 | grad norm: 0.766 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 112.393 | TFLOPs: 52.38 | 7: iteration 930/ 44073 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 4.23 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.252379E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.904 | TFLOPs: 56.35 | 7: iteration 940/ 44073 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 4.24 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.137615E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.789 | TFLOPs: 56.29 | 7: iteration 950/ 44073 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 4.20 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.095798E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.912 | TFLOPs: 56.82 | 7: iteration 960/ 44073 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 4.21 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.073556E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.691 | TFLOPs: 56.71 | 7: iteration 970/ 44073 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 4.20 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.045887E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.801 | TFLOPs: 56.77 | 7: iteration 980/ 44073 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.037700E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.072 | TFLOPs: 56.89 | 7: iteration 990/ 44073 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 4.21 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.042038E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.662 | TFLOPs: 56.70 | 7: iteration 1000/ 44073 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 4.18 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.046179E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.376 | TFLOPs: 57.03 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 1000 | lm loss value: 2.946902E+00 | lm loss PPL: 1.904686E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 1000 to checkpoints_2b2 0: [2022-11-24 23:05:53,039] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2022-11-24 23:05:53,229] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step1000/layer_01-model_00-model_states.pt... 0: [2022-11-24 23:05:53,585] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step1000/layer_01-model_00-model_states.pt. 0: [2022-11-24 23:05:53,586] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 1: [2022-11-24 23:05:59,086] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-24 23:05:59,086] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-24 23:05:59,086] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 7: [2022-11-24 23:05:59,070] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-24 23:05:59,071] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-24 23:05:59,132] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-24 23:05:59,132] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-24 23:05:59,132] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 7: [2022-11-24 23:05:59,170] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-24 23:05:59,170] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-24 23:05:59,170] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: [2022-11-24 23:05:59,226] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-24 23:05:59,226] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2022-11-24 23:05:59,287] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2022-11-24 23:05:59,287] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2022-11-24 23:05:59,287] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2022-11-24 23:05:59,301] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt. 5: [2022-11-24 23:05:59,301] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_46_mp_rank_00_optim_states.pt 5: [2022-11-24 23:05:59,301] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 6: [2022-11-24 23:06:04,448] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-24 23:06:04,448] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step1000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2022-11-24 23:06:04,448] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 0: successfully saved checkpoint at iteration 1000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 11472.61 7: iteration 1010/ 44073 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 5.52 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.048956E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.790 | TFLOPs: 43.25 | 7: iteration 1020/ 44073 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.982562E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.229 | TFLOPs: 56.97 | 7: iteration 1030/ 44073 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 4.21 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.006166E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.722 | TFLOPs: 56.73 | 7: iteration 1040/ 44073 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 4.24 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.977444E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.894 | TFLOPs: 56.34 | 7: iteration 1050/ 44073 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 4.21 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.968232E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.690 | TFLOPs: 56.71 | 7: iteration 1060/ 44073 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.952261E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.286 | TFLOPs: 56.99 | 7: iteration 1070/ 44073 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.956355E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.309 | TFLOPs: 57.00 | 7: iteration 1080/ 44073 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 4.24 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.939719E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.679 | TFLOPs: 56.24 | 7: iteration 1090/ 44073 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 4.23 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.961987E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.970 | TFLOPs: 56.38 | 7: iteration 1100/ 44073 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 4.18 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.952326E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.348 | TFLOPs: 57.02 | 7: iteration 1110/ 44073 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 4.21 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.944314E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.564 | TFLOPs: 56.65 | 7: iteration 1120/ 44073 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 4.22 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.942591E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.322 | TFLOPs: 56.54 | 7: iteration 1130/ 44073 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.893078E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.177 | TFLOPs: 56.94 | 7: iteration 1140/ 44073 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 4.22 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.889978E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.319 | TFLOPs: 56.54 | 7: iteration 1150/ 44073 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 4.20 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.916191E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.860 | TFLOPs: 56.79 | 7: iteration 1160/ 44073 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.921078E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.241 | TFLOPs: 56.97 | 7: iteration 1170/ 44073 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 4.18 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.851636E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.587 | TFLOPs: 57.13 | 7: iteration 1180/ 44073 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 4.18 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.891707E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.479 | TFLOPs: 57.08 | 7: iteration 1190/ 44073 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 4.20 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.897008E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.936 | TFLOPs: 56.83 | 7: iteration 1200/ 44073 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 4.21 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.892445E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.500 | TFLOPs: 56.63 | 7: iteration 1210/ 44073 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 4.16 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.872112E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.057 | TFLOPs: 57.35 | 7: iteration 1220/ 44073 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.856385E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.080 | TFLOPs: 56.90 | 7: iteration 1230/ 44073 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 4.20 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 2.947136E+00 | grad norm: 1.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.784 | TFLOPs: 56.76 | 7: iteration 1240/ 44073 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 4.19 | learning rate: 1.999E-04 | global batch size: 512 | lm loss: 3.083501E+00 | grad norm: 1.043 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.200 | TFLOPs: 56.95 | 7: iteration 1250/ 44073 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 4.19 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.329999E+00 | grad norm: 2.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.144 | TFLOPs: 56.93 | 7: iteration 1260/ 44073 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 4.22 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.343958E+00 | grad norm: 1.028 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.380 | TFLOPs: 56.57 | 7: iteration 1270/ 44073 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 4.19 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.246570E+00 | grad norm: 0.989 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.105 | TFLOPs: 56.91 | 7: iteration 1280/ 44073 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 4.21 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.228189E+00 | grad norm: 1.065 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.700 | TFLOPs: 56.72 | 7: iteration 1290/ 44073 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 4.18 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.215653E+00 | grad norm: 1.039 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.612 | TFLOPs: 57.14 | 7: iteration 1300/ 44073 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 4.18 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.142997E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.584 | TFLOPs: 57.13 | 7: iteration 1310/ 44073 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 4.19 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 3.040951E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.170 | TFLOPs: 56.94 | 7: iteration 1320/ 44073 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 4.18 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.981597E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.412 | TFLOPs: 57.05 | 7: iteration 1330/ 44073 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 4.17 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.922380E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.696 | TFLOPs: 57.18 | 7: iteration 1340/ 44073 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 4.22 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.877888E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.416 | TFLOPs: 56.59 | 7: iteration 1350/ 44073 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 4.22 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.877750E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.209 | TFLOPs: 56.49 | 7: iteration 1360/ 44073 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 4.18 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.864160E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.523 | TFLOPs: 57.10 | 7: iteration 1370/ 44073 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 4.20 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.832541E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.802 | TFLOPs: 56.77 | 7: iteration 1380/ 44073 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 4.22 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.831197E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.391 | TFLOPs: 56.57 | 7: iteration 1390/ 44073 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 4.16 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.849655E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.014 | TFLOPs: 57.33 | 7: iteration 1400/ 44073 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 4.22 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.863799E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.194 | TFLOPs: 56.48 | 7: iteration 1410/ 44073 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 4.20 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.826973E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.880 | TFLOPs: 56.80 | 7: iteration 1420/ 44073 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 4.16 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.829591E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.084 | TFLOPs: 57.36 | 7: iteration 1430/ 44073 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 4.24 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.822718E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.704 | TFLOPs: 56.25 | 7: iteration 1440/ 44073 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 4.17 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.819917E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.912 | TFLOPs: 57.28 | 7: iteration 1450/ 44073 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 4.21 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.796312E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.549 | TFLOPs: 56.65 | 7: iteration 1460/ 44073 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 4.20 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.785123E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.014 | TFLOPs: 56.86 | 7: iteration 1470/ 44073 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 4.19 | learning rate: 1.998E-04 | global batch size: 512 | lm loss: 2.763860E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.288 | TFLOPs: 56.99 | 7: iteration 1480/ 44073 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 4.19 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.785118E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.296 | TFLOPs: 57.00 | 7: iteration 1490/ 44073 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 4.16 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.803974E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.086 | TFLOPs: 57.36 | 7: iteration 1500/ 44073 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 4.17 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.778476E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.650 | TFLOPs: 57.16 | 7: iteration 1510/ 44073 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 4.16 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.766838E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.945 | TFLOPs: 57.30 | 7: iteration 1520/ 44073 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 4.19 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.751607E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.187 | TFLOPs: 56.95 | 7: iteration 1530/ 44073 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 4.18 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.783700E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.361 | TFLOPs: 57.03 | 7: iteration 1540/ 44073 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 4.21 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.775693E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.593 | TFLOPs: 56.67 | 7: iteration 1550/ 44073 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 4.19 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.773174E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.149 | TFLOPs: 56.93 | 7: iteration 1560/ 44073 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 4.16 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.742114E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.075 | TFLOPs: 57.36 | 7: iteration 1570/ 44073 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 4.18 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.739991E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.375 | TFLOPs: 57.03 | 7: iteration 1580/ 44073 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 4.21 | learning rate: 1.997E-04 | global batch size: 512 | lm loss: 2.739775E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.722 | TFLOPs: 56.73 | 7: iteration 1590/ 44073 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 4.18 | learning rate: 1.997E-04 | global batch size: 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global batch size: 512 | lm loss: 2.678469E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.565 | TFLOPs: 57.12 | 7: iteration 1890/ 44073 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 4.18 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.676262E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.589 | TFLOPs: 57.13 | 7: iteration 1900/ 44073 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 4.21 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.683139E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.487 | TFLOPs: 56.62 | 7: iteration 1910/ 44073 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 4.18 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.677628E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.412 | TFLOPs: 57.05 | 7: iteration 1920/ 44073 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 4.20 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.682176E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.990 | TFLOPs: 56.85 | 7: iteration 1930/ 44073 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 4.19 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.647984E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.271 | TFLOPs: 56.98 | 7: iteration 1940/ 44073 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 4.22 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.652192E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.408 | TFLOPs: 56.58 | 7: iteration 1950/ 44073 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 4.20 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.735960E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.890 | TFLOPs: 56.81 | 7: iteration 1960/ 44073 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 4.19 | learning rate: 1.995E-04 | global batch size: 512 | lm loss: 2.742381E+00 | grad norm: 0.671 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.142 | TFLOPs: 56.92 | 7: iteration 1970/ 44073 | consumed samples: 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[2022-11-25 00:16:01,384] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00019943341201512647, 0.00019943341201512647, 0.00019943341201512647], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 44073 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 4.28 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.671627E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.763 | TFLOPs: 55.82 | 0: steps: 2000 loss: 2.6860 iter time (s): 4.207 samples/sec: 121.704 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 2000 | lm loss value: 2.678066E+00 | lm loss PPL: 1.455691E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 2000 to checkpoints_2b2 0: [2022-11-25 00:16:02,770] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2022-11-25 00:16:02,776] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step2000/layer_01-model_00-model_states.pt... 0: [2022-11-25 00:16:03,196] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step2000/layer_01-model_00-model_states.pt. 0: [2022-11-25 00:16:03,197] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step2000/layer_03-model_00-model_states.pt... 0: [2022-11-25 00:16:03,341] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step2000/layer_03-model_00-model_states.pt. 0: [2022-11-25 00:16:03,342] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step2000/layer_04-model_00-model_states.pt... 0: [2022-11-25 00:16:03,489] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[2022-11-25 00:16:08,706] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-25 00:16:08,707] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-25 00:16:08,707] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 00:16:08,707] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2022-11-25 00:16:08,707] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-25 00:16:08,707] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-25 00:16:08,707] [INFO] 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4: [2022-11-25 00:16:08,800] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2022-11-25 00:16:08,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 00:16:08,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 00:16:08,800] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-25 00:16:08,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 00:16:08,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2022-11-25 00:16:08,801] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[2022-11-25 00:16:08,805] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 5: [2022-11-25 00:16:08,805] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2022-11-25 00:16:08,884] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-25 00:16:08,884] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-25 00:16:08,884] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 6174.32 7: iteration 2010/ 44073 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 4.96 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.667940E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.158 | TFLOPs: 48.08 | 7: iteration 2020/ 44073 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 4.21 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.636174E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.580 | TFLOPs: 56.66 | 7: iteration 2030/ 44073 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 4.21 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.649468E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.479 | TFLOPs: 56.62 | 7: iteration 2040/ 44073 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 4.19 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.659915E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.233 | TFLOPs: 56.97 | 7: iteration 2050/ 44073 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 4.22 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.646695E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.446 | TFLOPs: 56.60 | 7: iteration 2060/ 44073 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 4.19 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.603301E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.328 | TFLOPs: 57.01 | 7: iteration 2070/ 44073 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 4.16 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.613984E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.111 | TFLOPs: 57.38 | 7: iteration 2080/ 44073 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 4.18 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.633107E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.429 | TFLOPs: 57.06 | 7: iteration 2090/ 44073 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 4.23 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.615896E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.907 | TFLOPs: 56.35 | 7: iteration 2100/ 44073 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 4.21 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.608874E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.642 | TFLOPs: 56.69 | 7: iteration 2110/ 44073 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 4.21 | learning rate: 1.994E-04 | global batch size: 512 | lm loss: 2.630955E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.601 | TFLOPs: 56.67 | 7: iteration 2120/ 44073 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 4.19 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.618124E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.137 | TFLOPs: 56.92 | 7: iteration 2130/ 44073 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 4.20 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.610464E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.820 | TFLOPs: 56.77 | 7: iteration 2140/ 44073 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 4.18 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.599285E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.372 | TFLOPs: 57.03 | 7: iteration 2150/ 44073 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 4.19 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.611056E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.329 | TFLOPs: 57.01 | 7: iteration 2160/ 44073 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 4.20 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.608069E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.936 | TFLOPs: 56.83 | 7: iteration 2170/ 44073 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 4.19 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.611055E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.058 | TFLOPs: 56.89 | 7: iteration 2180/ 44073 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 4.20 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.606837E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.022 | TFLOPs: 56.87 | 7: iteration 2190/ 44073 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 4.21 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.618109E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.581 | TFLOPs: 56.66 | 7: iteration 2200/ 44073 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 4.19 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.618779E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.063 | TFLOPs: 56.89 | 7: iteration 2210/ 44073 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 4.24 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.588359E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.862 | TFLOPs: 56.33 | 7: iteration 2220/ 44073 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 4.18 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.588308E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.541 | TFLOPs: 57.11 | 7: iteration 2230/ 44073 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 4.24 | learning rate: 1.993E-04 | global batch size: 512 | lm loss: 2.576404E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.883 | TFLOPs: 56.34 | 7: iteration 2240/ 44073 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 4.17 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.592848E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.738 | TFLOPs: 57.20 | 7: iteration 2250/ 44073 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 4.25 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.571815E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.416 | TFLOPs: 56.12 | 7: iteration 2260/ 44073 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 4.21 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.580780E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.656 | TFLOPs: 56.70 | 7: iteration 2270/ 44073 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 4.19 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.604621E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.173 | TFLOPs: 56.94 | 7: iteration 2280/ 44073 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 4.18 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.576210E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.442 | TFLOPs: 57.06 | 7: iteration 2290/ 44073 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 4.20 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.584446E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.838 | TFLOPs: 56.78 | 7: iteration 2300/ 44073 | consumed samples: 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iteration 2330/ 44073 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 4.24 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.923487E+00 | grad norm: 0.791 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.885 | TFLOPs: 56.34 | 7: iteration 2340/ 44073 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 4.18 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.860063E+00 | grad norm: 0.691 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.385 | TFLOPs: 57.04 | 7: iteration 2350/ 44073 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 4.18 | learning rate: 1.992E-04 | global batch size: 512 | lm loss: 2.817703E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.516 | TFLOPs: 57.10 | 7: iteration 2360/ 44073 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 4.24 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.696893E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.787 | TFLOPs: 56.29 | 7: iteration 2370/ 44073 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 4.18 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.650282E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.611 | TFLOPs: 57.14 | 7: iteration 2380/ 44073 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 4.20 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.635935E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.941 | TFLOPs: 56.83 | 7: iteration 2390/ 44073 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 4.16 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.630346E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.091 | TFLOPs: 57.37 | 7: iteration 2400/ 44073 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 4.19 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.629663E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.210 | TFLOPs: 56.96 | 7: iteration 2410/ 44073 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 4.19 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.608670E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.312 | TFLOPs: 57.00 | 7: iteration 2420/ 44073 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 4.18 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.573076E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.612 | TFLOPs: 57.14 | 7: iteration 2430/ 44073 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 4.17 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.608138E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.914 | TFLOPs: 57.28 | 7: iteration 2440/ 44073 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 4.16 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.601952E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.156 | TFLOPs: 57.40 | 7: iteration 2450/ 44073 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 4.22 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.587174E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.249 | TFLOPs: 56.51 | 7: iteration 2460/ 44073 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 4.21 | learning rate: 1.991E-04 | global batch size: 512 | lm loss: 2.580599E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.592 | TFLOPs: 56.67 | 7: iteration 2470/ 44073 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 4.21 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.582730E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.756 | TFLOPs: 56.74 | 7: iteration 2480/ 44073 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 4.18 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.592010E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.461 | TFLOPs: 57.07 | 7: iteration 2490/ 44073 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 4.22 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.576089E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.300 | TFLOPs: 56.53 | 7: iteration 2500/ 44073 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 4.18 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.556760E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.617 | TFLOPs: 57.15 | 7: iteration 2510/ 44073 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 4.16 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.551686E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.951 | TFLOPs: 57.30 | 7: iteration 2520/ 44073 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 4.18 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.545279E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.529 | TFLOPs: 57.10 | 7: iteration 2530/ 44073 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 4.23 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.531496E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.109 | TFLOPs: 56.44 | 7: iteration 2540/ 44073 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 4.22 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.564799E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.196 | TFLOPs: 56.48 | 7: iteration 2550/ 44073 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 4.20 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.568092E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.768 | TFLOPs: 56.75 | 7: iteration 2560/ 44073 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 4.23 | learning rate: 1.990E-04 | global batch size: 512 | lm loss: 2.564003E+00 | grad norm: 0.882 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.047 | TFLOPs: 56.41 | 7: iteration 2570/ 44073 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 4.20 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.563660E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.871 | TFLOPs: 56.80 | 7: iteration 2580/ 44073 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 4.28 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.568767E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.559 | TFLOPs: 55.72 | 7: iteration 2590/ 44073 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 4.19 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.551929E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.062 | TFLOPs: 56.89 | 7: iteration 2600/ 44073 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 4.23 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.538818E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.134 | TFLOPs: 56.45 | 7: iteration 2610/ 44073 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 4.22 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.528184E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.188 | TFLOPs: 56.48 | 7: iteration 2620/ 44073 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 4.20 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.546983E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.915 | TFLOPs: 56.82 | 7: iteration 2630/ 44073 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 4.18 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.555309E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.603 | TFLOPs: 57.14 | 7: iteration 2640/ 44073 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 4.18 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.528287E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.462 | TFLOPs: 57.07 | 7: iteration 2650/ 44073 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 4.20 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.520861E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.993 | TFLOPs: 56.85 | 7: iteration 2660/ 44073 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 4.19 | learning rate: 1.989E-04 | global batch size: 512 | lm loss: 2.545004E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.121 | TFLOPs: 56.91 | 7: iteration 2670/ 44073 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 4.20 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.546003E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.961 | TFLOPs: 56.84 | 7: iteration 2680/ 44073 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 4.17 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.533483E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.724 | TFLOPs: 57.20 | 7: iteration 2690/ 44073 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 4.20 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.523167E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.027 | TFLOPs: 56.87 | 7: iteration 2700/ 44073 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 4.18 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.519511E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.517 | TFLOPs: 57.10 | 7: iteration 2710/ 44073 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 4.21 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.528016E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.496 | TFLOPs: 56.62 | 7: iteration 2720/ 44073 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 4.18 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.535865E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.599 | TFLOPs: 57.14 | 7: iteration 2730/ 44073 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 4.21 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.539503E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.603 | TFLOPs: 56.67 | 7: iteration 2740/ 44073 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 4.21 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.526006E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.715 | TFLOPs: 56.73 | 7: iteration 2750/ 44073 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 4.20 | learning rate: 1.988E-04 | global batch size: 512 | lm loss: 2.527079E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.771 | TFLOPs: 56.75 | 7: iteration 2760/ 44073 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 4.16 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.536926E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.969 | TFLOPs: 57.31 | 7: iteration 2770/ 44073 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 4.30 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.539932E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.160 | TFLOPs: 55.53 | 7: iteration 2780/ 44073 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 4.23 | learning rate: 1.987E-04 | global batch size: 512 | lm loss: 2.522013E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.915 | TFLOPs: 56.35 | 7: iteration 2790/ 44073 | consumed samples: 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iteration (s): 4.21 | learning rate: 1.985E-04 | global batch size: 512 | lm loss: 2.520154E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.486 | TFLOPs: 56.62 | 7: iteration 3000/ 44073 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 4.17 | learning rate: 1.985E-04 | global batch size: 512 | lm loss: 2.500864E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.665 | TFLOPs: 57.17 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 3000 | lm loss value: 2.518705E+00 | lm loss PPL: 1.241252E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 3000 to checkpoints_2b2 0: [2022-11-25 01:26:13,356] [INFO] [logging.py:68:log_dist] [Rank 0] 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-25 01:26:19,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step3000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-25 01:26:19,372] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-25 01:26:19,372] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-25 01:26:19,372] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step3000 is ready now! 1: [2022-11-25 01:26:19,372] [INFO] 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save-checkpoint: 6147.57 7: iteration 3010/ 44073 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 4.97 | learning rate: 1.985E-04 | global batch size: 512 | lm loss: 2.501414E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 102.965 | TFLOPs: 47.99 | 7: iteration 3020/ 44073 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 4.23 | learning rate: 1.985E-04 | global batch size: 512 | lm loss: 2.500460E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.129 | TFLOPs: 56.45 | 7: iteration 3030/ 44073 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 4.26 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.472802E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.328 | TFLOPs: 56.08 | 7: iteration 3040/ 44073 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 4.21 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.508948E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.548 | TFLOPs: 56.65 | 7: iteration 3050/ 44073 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 4.23 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.493024E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.127 | TFLOPs: 56.45 | 7: iteration 3060/ 44073 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 4.20 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.463602E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.011 | TFLOPs: 56.86 | 7: iteration 3070/ 44073 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 4.21 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.480939E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.586 | TFLOPs: 56.67 | 7: iteration 3080/ 44073 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 4.21 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.472904E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.530 | TFLOPs: 56.64 | 7: iteration 3090/ 44073 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 4.23 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.481435E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.911 | TFLOPs: 56.35 | 7: iteration 3100/ 44073 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 4.21 | learning rate: 1.984E-04 | global batch size: 512 | lm loss: 2.498338E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.514 | TFLOPs: 56.63 | 7: iteration 3110/ 44073 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 4.19 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.508925E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.056 | TFLOPs: 56.88 | 7: iteration 3120/ 44073 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 4.18 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.510841E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.498 | TFLOPs: 57.09 | 7: iteration 3130/ 44073 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 4.21 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.490585E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.574 | TFLOPs: 56.66 | 7: iteration 3140/ 44073 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 4.18 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.478363E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.607 | TFLOPs: 57.14 | 7: iteration 3150/ 44073 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 4.19 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.470381E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.072 | TFLOPs: 56.89 | 7: iteration 3160/ 44073 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 4.28 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.469394E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.673 | TFLOPs: 55.77 | 7: iteration 3170/ 44073 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 4.21 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.473151E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.489 | TFLOPs: 56.62 | 7: iteration 3180/ 44073 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 4.23 | learning rate: 1.983E-04 | global batch size: 512 | lm loss: 2.511717E+00 | grad norm: 0.975 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.161 | TFLOPs: 56.47 | 7: iteration 3190/ 44073 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 4.21 | learning rate: 1.982E-04 | global batch size: 512 | lm loss: 3.005795E+00 | grad norm: 2.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.753 | TFLOPs: 56.74 | 7: iteration 3200/ 44073 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 4.22 | learning rate: 1.982E-04 | global batch size: 512 | lm loss: 3.048395E+00 | grad norm: 1.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.428 | TFLOPs: 56.59 | 7: iteration 3210/ 44073 | consumed samples: 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number of nan iterations: 0 | samples per second: 122.533 | TFLOPs: 57.11 | 7: iteration 3300/ 44073 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 4.18 | learning rate: 1.981E-04 | global batch size: 512 | lm loss: 2.544158E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.397 | TFLOPs: 57.04 | 7: iteration 3310/ 44073 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 4.23 | learning rate: 1.981E-04 | global batch size: 512 | lm loss: 2.525013E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.129 | TFLOPs: 56.45 | 7: iteration 3320/ 44073 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 4.17 | learning rate: 1.981E-04 | global batch size: 512 | lm loss: 2.523210E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.892 | TFLOPs: 57.27 | 7: iteration 3330/ 44073 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 4.24 | learning rate: 1.981E-04 | global batch size: 512 | lm loss: 2.512925E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.738 | TFLOPs: 56.27 | 7: iteration 3340/ 44073 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 4.17 | learning rate: 1.980E-04 | global batch size: 512 | lm loss: 2.496305E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.715 | TFLOPs: 57.19 | 7: iteration 3350/ 44073 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 4.21 | learning rate: 1.980E-04 | global batch size: 512 | lm loss: 2.514453E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.754 | TFLOPs: 56.74 | 7: iteration 3360/ 44073 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 4.25 | learning rate: 1.980E-04 | global batch size: 512 | lm loss: 2.501866E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.510 | TFLOPs: 56.16 | 7: iteration 3370/ 44073 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 4.23 | learning rate: 1.980E-04 | global batch size: 512 | lm loss: 2.509407E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.932 | TFLOPs: 56.36 | 7: iteration 3380/ 44073 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 4.20 | learning rate: 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TFLOPs: 56.72 | 7: iteration 3500/ 44073 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 4.21 | learning rate: 1.978E-04 | global batch size: 512 | lm loss: 2.480674E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.676 | TFLOPs: 56.71 | 7: iteration 3510/ 44073 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 4.18 | learning rate: 1.978E-04 | global batch size: 512 | lm loss: 2.471727E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.442 | TFLOPs: 57.06 | 7: iteration 3520/ 44073 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 4.20 | learning rate: 1.978E-04 | global batch size: 512 | lm loss: 2.455891E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.822 | TFLOPs: 56.78 | 7: iteration 3530/ 44073 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 4.18 | learning rate: 1.978E-04 | global batch size: 512 | lm loss: 2.459863E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.507 | TFLOPs: 57.09 | 7: iteration 3540/ 44073 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 4.21 | learning rate: 1.978E-04 | global batch size: 512 | lm loss: 2.451777E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.575 | TFLOPs: 56.66 | 7: iteration 3550/ 44073 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 4.23 | learning rate: 1.978E-04 | global batch size: 512 | lm loss: 2.446255E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.939 | TFLOPs: 56.36 | 7: iteration 3560/ 44073 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 4.17 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.467263E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.890 | TFLOPs: 57.27 | 7: iteration 3570/ 44073 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 4.21 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.471759E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.578 | TFLOPs: 56.66 | 7: iteration 3580/ 44073 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 4.18 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.470513E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.499 | TFLOPs: 57.09 | 7: iteration 3590/ 44073 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 4.18 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.470849E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.523 | TFLOPs: 57.10 | 7: iteration 3600/ 44073 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 4.20 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.436213E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.021 | TFLOPs: 56.87 | 7: iteration 3610/ 44073 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 4.17 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.449372E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.795 | TFLOPs: 57.23 | 7: iteration 3620/ 44073 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 4.20 | learning rate: 1.977E-04 | global batch size: 512 | lm loss: 2.461925E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.945 | TFLOPs: 56.83 | 7: iteration 3630/ 44073 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 4.21 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 2.452827E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.607 | TFLOPs: 56.67 | 7: iteration 3640/ 44073 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 4.24 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 2.467082E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.845 | TFLOPs: 56.32 | 7: iteration 3650/ 44073 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 4.20 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 2.460991E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.828 | TFLOPs: 56.78 | 7: iteration 3660/ 44073 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 4.19 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 2.445359E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.289 | TFLOPs: 56.99 | 7: iteration 3670/ 44073 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 4.22 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 2.436924E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.193 | TFLOPs: 56.48 | 7: iteration 3680/ 44073 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 4.16 | learning rate: 1.976E-04 | global batch size: 512 | lm loss: 2.448527E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.992 | TFLOPs: 57.32 | 7: iteration 3690/ 44073 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 4.25 | learning rate: 1.975E-04 | global batch size: 512 | lm loss: 2.440751E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.360 | TFLOPs: 56.09 | 7: iteration 3700/ 44073 | consumed samples: 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iteration 3730/ 44073 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 4.18 | learning rate: 1.975E-04 | global batch size: 512 | lm loss: 2.442210E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.536 | TFLOPs: 57.11 | 7: iteration 3740/ 44073 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 4.27 | learning rate: 1.975E-04 | global batch size: 512 | lm loss: 2.411998E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.982 | TFLOPs: 55.92 | 7: iteration 3750/ 44073 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 4.20 | learning rate: 1.975E-04 | global batch size: 512 | lm loss: 2.423022E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.016 | TFLOPs: 56.87 | 7: iteration 3760/ 44073 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 4.23 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.434138E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.016 | TFLOPs: 56.40 | 7: iteration 3770/ 44073 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 4.22 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.448205E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.197 | TFLOPs: 56.48 | 7: iteration 3780/ 44073 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 4.26 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.416473E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.314 | TFLOPs: 56.07 | 7: iteration 3790/ 44073 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 4.22 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.441776E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.418 | TFLOPs: 56.59 | 7: iteration 3800/ 44073 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 4.22 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.439358E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.366 | TFLOPs: 56.56 | 7: iteration 3810/ 44073 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 4.21 | learning rate: 1.974E-04 | global batch size: 512 | lm loss: 2.428748E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.510 | TFLOPs: 56.63 | 7: iteration 3820/ 44073 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 4.26 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 2.425951E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.208 | TFLOPs: 56.02 | 7: iteration 3830/ 44073 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 4.20 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 2.412665E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.790 | TFLOPs: 56.76 | 7: iteration 3840/ 44073 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 4.19 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 2.416212E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.250 | TFLOPs: 56.97 | 7: iteration 3850/ 44073 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 4.17 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 2.429298E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.669 | TFLOPs: 57.17 | 7: iteration 3860/ 44073 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 4.21 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 2.449447E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.587 | TFLOPs: 56.67 | 7: iteration 3870/ 44073 | consumed samples: 1981440 | consumed tokens: 4057989120 | elapsed time per iteration (s): 4.28 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 2.473199E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.633 | TFLOPs: 55.75 | 7: iteration 3880/ 44073 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 4.20 | learning rate: 1.973E-04 | global batch size: 512 | lm loss: 2.446705E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.016 | TFLOPs: 56.87 | 7: iteration 3890/ 44073 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 4.22 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 2.449501E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.398 | TFLOPs: 56.58 | 7: iteration 3900/ 44073 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 4.20 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 2.417696E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.973 | TFLOPs: 56.85 | 7: iteration 3910/ 44073 | consumed samples: 2001920 | consumed tokens: 4099932160 | elapsed time per iteration (s): 4.24 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 2.429999E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.835 | TFLOPs: 56.32 | 7: iteration 3920/ 44073 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 4.23 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 2.405777E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.961 | TFLOPs: 56.37 | 7: iteration 3930/ 44073 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 4.41 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 2.425753E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.168 | TFLOPs: 54.14 | 7: iteration 3940/ 44073 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 4.23 | learning rate: 1.972E-04 | global batch size: 512 | lm loss: 2.420885E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.166 | TFLOPs: 56.47 | 7: iteration 3950/ 44073 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 4.24 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 2.402656E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.627 | TFLOPs: 56.22 | 7: iteration 3960/ 44073 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 4.24 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 2.417758E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.615 | TFLOPs: 56.21 | 7: iteration 3970/ 44073 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 4.22 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 2.413486E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.189 | TFLOPs: 56.48 | 7: iteration 3980/ 44073 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 4.19 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 2.422588E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.187 | TFLOPs: 56.95 | 7: iteration 3990/ 44073 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 4.19 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 2.415223E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.287 | TFLOPs: 56.99 | 0: [2022-11-25 02:36:34,038] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00019706081683852067, 0.00019706081683852067, 0.00019706081683852067], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 4000/ 44073 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 4.18 | learning rate: 1.971E-04 | global batch size: 512 | lm loss: 2.426867E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.360 | TFLOPs: 57.03 | 0: steps: 4000 loss: 2.3977 iter time (s): 4.206 samples/sec: 121.728 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 4000 | lm loss value: 2.389601E+00 | lm loss PPL: 1.090914E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 4000 to checkpoints_2b2 0: [2022-11-25 02:36:35,419] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step4000 is begin to save! 0: [2022-11-25 02:36:35,510] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step4000/layer_01-model_00-model_states.pt... 0: [2022-11-25 02:36:36,173] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/layer_01-model_00-model_states.pt. 0: [2022-11-25 02:36:36,173] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step4000/layer_03-model_00-model_states.pt... 0: [2022-11-25 02:36:36,383] [INFO] [torch_checkpoint_engine.py:17:save] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,153] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,153] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,153] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,153] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,153] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,153] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,153] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,153] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,154] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 6: [2022-11-25 02:36:43,326] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-25 02:36:43,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 02:36:43,327] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 7: [2022-11-25 02:36:43,430] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 02:36:43,430] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step4000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 02:36:43,430] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step4000 is ready now! 0: successfully saved checkpoint at iteration 4000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 8065.80 7: iteration 4010/ 44073 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 5.19 | learning rate: 1.970E-04 | global batch size: 512 | lm loss: 2.418774E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 98.678 | TFLOPs: 45.99 | 7: iteration 4020/ 44073 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 4.23 | learning rate: 1.970E-04 | global batch size: 512 | lm loss: 2.399221E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.975 | TFLOPs: 56.38 | 7: iteration 4030/ 44073 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 4.24 | learning rate: 1.970E-04 | global batch size: 512 | lm loss: 2.413215E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.823 | TFLOPs: 56.31 | 7: iteration 4040/ 44073 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 4.21 | learning rate: 1.970E-04 | global batch size: 512 | lm loss: 2.393093E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.724 | TFLOPs: 56.73 | 7: iteration 4050/ 44073 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 4.22 | learning rate: 1.970E-04 | global batch size: 512 | lm loss: 2.397388E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.338 | TFLOPs: 56.55 | 7: iteration 4060/ 44073 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 4.19 | learning rate: 1.970E-04 | global batch size: 512 | lm loss: 2.395676E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.173 | TFLOPs: 56.94 | 7: iteration 4070/ 44073 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 4.17 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.404736E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.915 | TFLOPs: 57.28 | 7: iteration 4080/ 44073 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 4.20 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.408962E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.970 | TFLOPs: 56.84 | 7: iteration 4090/ 44073 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 4.23 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.397797E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.898 | TFLOPs: 56.34 | 7: iteration 4100/ 44073 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 4.24 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.442252E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.876 | TFLOPs: 56.33 | 7: iteration 4110/ 44073 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 4.23 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.409397E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.093 | TFLOPs: 56.44 | 7: iteration 4120/ 44073 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 4.20 | learning rate: 1.969E-04 | global batch size: 512 | lm loss: 2.385623E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.811 | TFLOPs: 56.77 | 7: iteration 4130/ 44073 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 4.18 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.417806E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.449 | TFLOPs: 57.07 | 7: iteration 4140/ 44073 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 4.19 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.397386E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.134 | TFLOPs: 56.92 | 7: iteration 4150/ 44073 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 4.18 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.428199E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.383 | TFLOPs: 57.04 | 7: iteration 4160/ 44073 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 4.20 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.412618E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.939 | TFLOPs: 56.83 | 7: iteration 4170/ 44073 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 4.19 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.426413E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.313 | TFLOPs: 57.00 | 7: iteration 4180/ 44073 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 4.20 | learning rate: 1.968E-04 | global batch size: 512 | lm loss: 2.406737E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.961 | TFLOPs: 56.84 | 7: iteration 4190/ 44073 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 4.24 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.381380E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.719 | TFLOPs: 56.26 | 7: iteration 4200/ 44073 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 4.21 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.379512E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.547 | TFLOPs: 56.65 | 7: iteration 4210/ 44073 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 4.24 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.365398E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.808 | TFLOPs: 56.30 | 7: iteration 4220/ 44073 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 4.20 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.397319E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.805 | TFLOPs: 56.77 | 7: iteration 4230/ 44073 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 4.20 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.407310E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.776 | TFLOPs: 56.75 | 7: iteration 4240/ 44073 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 4.18 | learning rate: 1.967E-04 | global batch size: 512 | lm loss: 2.378183E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.395 | TFLOPs: 57.04 | 7: iteration 4250/ 44073 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 4.18 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.405255E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.532 | TFLOPs: 57.11 | 7: iteration 4260/ 44073 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 4.21 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.356765E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.500 | TFLOPs: 56.63 | 7: iteration 4270/ 44073 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 4.21 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.376925E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.722 | TFLOPs: 56.73 | 7: iteration 4280/ 44073 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 4.23 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.384640E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.921 | TFLOPs: 56.36 | 7: iteration 4290/ 44073 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 4.19 | learning rate: 1.966E-04 | global batch size: 512 | lm loss: 2.385738E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.171 | TFLOPs: 56.94 | 7: iteration 4300/ 44073 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 4.26 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.408186E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.071 | TFLOPs: 55.96 | 7: iteration 4310/ 44073 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 4.25 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.394680E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.346 | TFLOPs: 56.09 | 7: iteration 4320/ 44073 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 4.23 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.364961E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.971 | TFLOPs: 56.38 | 7: iteration 4330/ 44073 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 4.21 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.369899E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.510 | TFLOPs: 56.63 | 7: iteration 4340/ 44073 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 4.26 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.376595E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.067 | TFLOPs: 55.96 | 7: iteration 4350/ 44073 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 4.18 | learning rate: 1.965E-04 | global batch size: 512 | lm loss: 2.369461E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.438 | TFLOPs: 57.06 | 7: iteration 4360/ 44073 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 4.20 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.359175E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.765 | TFLOPs: 56.75 | 7: iteration 4370/ 44073 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 4.19 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.374695E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.228 | TFLOPs: 56.96 | 7: iteration 4380/ 44073 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 4.22 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.383851E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.420 | TFLOPs: 56.59 | 7: iteration 4390/ 44073 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 4.21 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.358695E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.749 | TFLOPs: 56.74 | 7: iteration 4400/ 44073 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 4.22 | learning rate: 1.964E-04 | global batch size: 512 | lm loss: 2.369423E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.358 | TFLOPs: 56.56 | 7: iteration 4410/ 44073 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 4.24 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.370321E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.865 | TFLOPs: 56.33 | 7: iteration 4420/ 44073 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 4.23 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.383261E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.078 | TFLOPs: 56.43 | 7: iteration 4430/ 44073 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 4.18 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.372821E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.437 | TFLOPs: 57.06 | 7: iteration 4440/ 44073 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 4.21 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.361685E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.516 | TFLOPs: 56.63 | 7: iteration 4450/ 44073 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 4.23 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.362945E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.946 | TFLOPs: 56.37 | 7: iteration 4460/ 44073 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 4.20 | learning rate: 1.963E-04 | global batch size: 512 | lm loss: 2.453702E+00 | grad norm: 0.767 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.014 | TFLOPs: 56.86 | 7: iteration 4470/ 44073 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 4.23 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.589665E+00 | grad norm: 1.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.057 | TFLOPs: 56.42 | 7: iteration 4480/ 44073 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 4.26 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.741286E+00 | grad norm: 0.937 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.179 | TFLOPs: 56.01 | 7: iteration 4490/ 44073 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 4.23 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.715267E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.107 | TFLOPs: 56.44 | 7: iteration 4500/ 44073 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 4.25 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.570080E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.373 | TFLOPs: 56.10 | 7: iteration 4510/ 44073 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 4.22 | learning rate: 1.962E-04 | global batch size: 512 | lm loss: 2.492377E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.378 | TFLOPs: 56.57 | 7: iteration 4520/ 44073 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 4.29 | learning rate: 1.961E-04 | global batch size: 512 | lm loss: 2.462484E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.348 | TFLOPs: 55.62 | 7: iteration 4530/ 44073 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 4.22 | learning rate: 1.961E-04 | global batch size: 512 | lm loss: 2.447688E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.337 | TFLOPs: 56.55 | 7: iteration 4540/ 44073 | consumed samples: 2324480 | consumed 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number of nan iterations: 0 | samples per second: 120.149 | TFLOPs: 56.00 | 7: iteration 4890/ 44073 | consumed samples: 2503680 | consumed tokens: 5127536640 | elapsed time per iteration (s): 4.22 | learning rate: 1.954E-04 | global batch size: 512 | lm loss: 2.367849E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.212 | TFLOPs: 56.49 | 7: iteration 4900/ 44073 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 4.19 | learning rate: 1.954E-04 | global batch size: 512 | lm loss: 2.352124E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.133 | TFLOPs: 56.92 | 7: iteration 4910/ 44073 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 4.21 | learning rate: 1.954E-04 | global batch size: 512 | lm loss: 2.347490E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.678 | TFLOPs: 56.71 | 7: iteration 4920/ 44073 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 4.18 | learning rate: 1.954E-04 | global batch size: 512 | lm loss: 2.338112E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.354 | TFLOPs: 57.02 | 7: iteration 4930/ 44073 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 4.41 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.364086E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.206 | TFLOPs: 54.16 | 7: iteration 4940/ 44073 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 4.26 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.330400E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.111 | TFLOPs: 55.98 | 7: iteration 4950/ 44073 | consumed samples: 2534400 | consumed tokens: 5190451200 | elapsed time per iteration (s): 4.18 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.376352E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.573 | TFLOPs: 57.13 | 7: iteration 4960/ 44073 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 4.20 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.371745E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.979 | TFLOPs: 56.85 | 7: iteration 4970/ 44073 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 4.22 | learning rate: 1.953E-04 | global batch size: 512 | lm loss: 2.343571E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.456 | TFLOPs: 56.60 | 7: iteration 4980/ 44073 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 4.19 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.343429E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.319 | TFLOPs: 57.01 | 7: iteration 4990/ 44073 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 4.22 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.342192E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.266 | TFLOPs: 56.52 | 7: iteration 5000/ 44073 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 4.18 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.368849E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.457 | TFLOPs: 57.07 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 5000 | lm loss value: 2.261483E+00 | lm loss PPL: 9.597316E+00 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 5000 to checkpoints_2b2 0: [2022-11-25 03:47:01,011] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step5000 is begin to save! 0: [2022-11-25 03:47:01,104] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step5000/layer_01-model_00-model_states.pt... 0: [2022-11-25 03:47:01,638] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[2022-11-25 03:47:07,059] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 03:47:07,059] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 03:47:07,059] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 03:47:07,059] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 7: [2022-11-25 03:47:07,059] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: [2022-11-25 03:47:07,127] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step5000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 03:47:07,128] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 4: [2022-11-25 03:47:07,216] [INFO] [torch_checkpoint_engine.py:17:save] 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[2022-11-25 03:47:07,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-25 03:47:07,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-25 03:47:07,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-25 03:47:07,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 3: [2022-11-25 03:47:07,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step5000 is ready now! 0: successfully saved checkpoint at iteration 5000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 6300.15 7: iteration 5010/ 44073 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 4.95 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.354123E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.461 | TFLOPs: 48.22 | 7: iteration 5020/ 44073 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 4.18 | learning rate: 1.952E-04 | global batch size: 512 | lm loss: 2.367246E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.375 | TFLOPs: 57.03 | 7: iteration 5030/ 44073 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 4.21 | learning rate: 1.951E-04 | global batch size: 512 | lm loss: 2.347837E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.511 | TFLOPs: 56.63 | 7: iteration 5040/ 44073 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 4.20 | learning rate: 1.951E-04 | global batch size: 512 | lm loss: 2.332362E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.817 | TFLOPs: 56.77 | 7: iteration 5050/ 44073 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 4.19 | learning rate: 1.951E-04 | global batch size: 512 | lm loss: 2.341466E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.112 | TFLOPs: 56.91 | 7: iteration 5060/ 44073 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 4.22 | learning rate: 1.951E-04 | global batch size: 512 | lm loss: 2.323644E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.217 | TFLOPs: 56.49 | 7: iteration 5070/ 44073 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 4.24 | learning rate: 1.950E-04 | global batch size: 512 | lm loss: 2.347613E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.637 | TFLOPs: 56.22 | 7: iteration 5080/ 44073 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 4.18 | learning rate: 1.950E-04 | global batch size: 512 | lm loss: 2.331264E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.622 | TFLOPs: 57.15 | 7: iteration 5090/ 44073 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 4.23 | learning rate: 1.950E-04 | global batch size: 512 | lm loss: 2.349526E+00 | grad norm: 0.646 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.057 | TFLOPs: 56.42 | 7: iteration 5100/ 44073 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 4.20 | learning rate: 1.950E-04 | global batch size: 512 | lm loss: 2.350253E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.044 | TFLOPs: 56.88 | 7: iteration 5110/ 44073 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 4.21 | learning rate: 1.950E-04 | global batch size: 512 | lm loss: 2.335134E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.566 | TFLOPs: 56.66 | 7: iteration 5120/ 44073 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 4.19 | learning rate: 1.949E-04 | global batch size: 512 | lm loss: 2.348039E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.290 | TFLOPs: 56.99 | 7: iteration 5130/ 44073 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 4.18 | learning rate: 1.949E-04 | global batch size: 512 | lm loss: 2.334500E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.443 | TFLOPs: 57.06 | 7: iteration 5140/ 44073 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 4.25 | learning rate: 1.949E-04 | global batch size: 512 | lm loss: 2.347139E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.470 | TFLOPs: 56.15 | 7: iteration 5150/ 44073 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 4.20 | learning rate: 1.949E-04 | global batch size: 512 | lm loss: 2.340686E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.864 | TFLOPs: 56.79 | 7: iteration 5160/ 44073 | consumed samples: 2641920 | consumed 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TFLOPs: 56.75 | 7: iteration 5220/ 44073 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 4.17 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.340535E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.741 | TFLOPs: 57.20 | 7: iteration 5230/ 44073 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 4.20 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.326804E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.823 | TFLOPs: 56.78 | 7: iteration 5240/ 44073 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 4.18 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.331627E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.613 | TFLOPs: 57.14 | 7: iteration 5250/ 44073 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 4.19 | learning rate: 1.947E-04 | global batch size: 512 | lm loss: 2.326657E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.273 | TFLOPs: 56.99 | 7: iteration 5260/ 44073 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 4.21 | learning rate: 1.946E-04 | global batch size: 512 | lm loss: 2.359118E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.562 | TFLOPs: 56.65 | 7: iteration 5270/ 44073 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 4.17 | learning rate: 1.946E-04 | global batch size: 512 | lm loss: 2.326892E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.895 | TFLOPs: 57.28 | 7: iteration 5280/ 44073 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 4.20 | learning rate: 1.946E-04 | global batch size: 512 | lm loss: 2.316382E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.785 | TFLOPs: 56.76 | 7: iteration 5290/ 44073 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 4.23 | learning rate: 1.946E-04 | global batch size: 512 | lm loss: 2.319881E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.057 | TFLOPs: 56.42 | 7: iteration 5300/ 44073 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 4.20 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.336962E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.819 | TFLOPs: 56.77 | 7: iteration 5310/ 44073 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 4.19 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.308213E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.178 | TFLOPs: 56.94 | 7: iteration 5320/ 44073 | consumed samples: 2723840 | consumed tokens: 5578424320 | elapsed time per iteration (s): 4.17 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.314774E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.792 | TFLOPs: 57.23 | 7: iteration 5330/ 44073 | consumed samples: 2728960 | consumed tokens: 5588910080 | elapsed time per iteration (s): 4.21 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.332048E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.520 | TFLOPs: 56.63 | 7: iteration 5340/ 44073 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 4.20 | learning rate: 1.945E-04 | global batch size: 512 | lm loss: 2.334245E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.767 | TFLOPs: 56.75 | 7: iteration 5350/ 44073 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 4.18 | learning rate: 1.944E-04 | global batch size: 512 | lm loss: 2.330633E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.410 | TFLOPs: 57.05 | 7: iteration 5360/ 44073 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 4.18 | learning rate: 1.944E-04 | global batch size: 512 | lm loss: 2.347503E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.348 | TFLOPs: 57.02 | 7: iteration 5370/ 44073 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 4.22 | learning rate: 1.944E-04 | global batch size: 512 | lm loss: 2.310438E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.365 | TFLOPs: 56.56 | 7: iteration 5380/ 44073 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 4.16 | learning rate: 1.944E-04 | global batch size: 512 | lm loss: 2.327362E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.946 | TFLOPs: 57.30 | 7: iteration 5390/ 44073 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 4.19 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.290480E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.107 | TFLOPs: 56.91 | 7: iteration 5400/ 44073 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 4.21 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.314888E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.750 | TFLOPs: 56.74 | 7: iteration 5410/ 44073 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 4.23 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.310661E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.129 | TFLOPs: 56.45 | 7: iteration 5420/ 44073 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 4.21 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.316743E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.740 | TFLOPs: 56.74 | 7: iteration 5430/ 44073 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 4.21 | learning rate: 1.943E-04 | global batch size: 512 | lm loss: 2.312607E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.473 | TFLOPs: 56.61 | 7: iteration 5440/ 44073 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 4.16 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.328681E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.982 | TFLOPs: 57.32 | 7: iteration 5450/ 44073 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 4.21 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.313169E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.520 | TFLOPs: 56.63 | 7: iteration 5460/ 44073 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 4.19 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.317591E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.189 | TFLOPs: 56.95 | 7: iteration 5470/ 44073 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 4.20 | learning rate: 1.942E-04 | global batch size: 512 | lm loss: 2.289552E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.946 | TFLOPs: 56.83 | 7: iteration 5480/ 44073 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 4.22 | learning rate: 1.941E-04 | global batch size: 512 | lm loss: 2.322494E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.445 | TFLOPs: 56.60 | 7: iteration 5490/ 44073 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 4.16 | learning rate: 1.941E-04 | global batch size: 512 | lm loss: 2.312510E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.087 | TFLOPs: 57.36 | 7: iteration 5500/ 44073 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 4.21 | learning rate: 1.941E-04 | global batch size: 512 | lm loss: 2.322764E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.677 | TFLOPs: 56.71 | 7: iteration 5510/ 44073 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 4.20 | learning rate: 1.941E-04 | global batch size: 512 | lm loss: 2.322576E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.992 | TFLOPs: 56.85 | 7: iteration 5520/ 44073 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 4.19 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.300802E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.287 | TFLOPs: 56.99 | 7: iteration 5530/ 44073 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 4.21 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.312586E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.709 | TFLOPs: 56.72 | 7: iteration 5540/ 44073 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 4.21 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.312331E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.601 | TFLOPs: 56.67 | 7: iteration 5550/ 44073 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 4.26 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.316909E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.193 | TFLOPs: 56.02 | 7: iteration 5560/ 44073 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 4.24 | learning rate: 1.940E-04 | global batch size: 512 | lm loss: 2.329133E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.869 | TFLOPs: 56.33 | 7: iteration 5570/ 44073 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 4.19 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.299991E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.118 | TFLOPs: 56.91 | 7: iteration 5580/ 44073 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 4.19 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.310463E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.141 | TFLOPs: 56.92 | 7: iteration 5590/ 44073 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 4.20 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.310862E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.007 | TFLOPs: 56.86 | 7: iteration 5600/ 44073 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 4.19 | learning rate: 1.939E-04 | global batch size: 512 | lm loss: 2.306912E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.176 | TFLOPs: 56.94 | 7: iteration 5610/ 44073 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 4.25 | learning rate: 1.938E-04 | global batch size: 512 | lm loss: 2.326416E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.605 | TFLOPs: 56.21 | 7: iteration 5620/ 44073 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 4.18 | learning rate: 1.938E-04 | global batch size: 512 | lm loss: 2.325448E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.566 | TFLOPs: 57.12 | 7: iteration 5630/ 44073 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 4.19 | learning rate: 1.938E-04 | global batch size: 512 | lm loss: 2.313859E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.281 | TFLOPs: 56.99 | 7: iteration 5640/ 44073 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 4.37 | learning rate: 1.938E-04 | global batch size: 512 | lm loss: 2.325600E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 117.089 | TFLOPs: 54.57 | 7: iteration 5650/ 44073 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 4.21 | learning rate: 1.937E-04 | global batch size: 512 | lm loss: 2.294400E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.594 | TFLOPs: 56.67 | 7: iteration 5660/ 44073 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 4.24 | learning rate: 1.937E-04 | global batch size: 512 | lm loss: 2.297473E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.736 | TFLOPs: 56.27 | 7: iteration 5670/ 44073 | consumed samples: 2903040 | consumed tokens: 5945425920 | elapsed time per iteration (s): 4.24 | learning rate: 1.937E-04 | global batch size: 512 | lm loss: 2.302546E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.670 | TFLOPs: 56.24 | 7: iteration 5680/ 44073 | consumed samples: 2908160 | consumed tokens: 5955911680 | elapsed time per iteration (s): 4.24 | learning rate: 1.937E-04 | global batch size: 512 | lm loss: 2.322703E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.861 | TFLOPs: 56.33 | 7: iteration 5690/ 44073 | consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 4.23 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.306979E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.084 | TFLOPs: 56.43 | 7: iteration 5700/ 44073 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 4.22 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.316458E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.323 | TFLOPs: 56.54 | 7: iteration 5710/ 44073 | consumed samples: 2923520 | consumed tokens: 5987368960 | elapsed time per iteration (s): 4.22 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.276897E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.371 | TFLOPs: 56.56 | 7: iteration 5720/ 44073 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 4.19 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.309510E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.082 | TFLOPs: 56.90 | 7: iteration 5730/ 44073 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 4.23 | learning rate: 1.936E-04 | global batch size: 512 | lm loss: 2.293452E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.140 | TFLOPs: 56.46 | 7: iteration 5740/ 44073 | consumed samples: 2938880 | consumed tokens: 6018826240 | elapsed time per iteration (s): 4.24 | learning rate: 1.935E-04 | global batch size: 512 | lm loss: 2.323180E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.617 | TFLOPs: 56.21 | 7: iteration 5750/ 44073 | consumed samples: 2944000 | consumed tokens: 6029312000 | elapsed time per iteration (s): 4.22 | learning rate: 1.935E-04 | global batch size: 512 | lm loss: 2.319274E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.339 | TFLOPs: 56.55 | 7: iteration 5760/ 44073 | consumed samples: 2949120 | consumed tokens: 6039797760 | elapsed time per iteration (s): 4.25 | learning rate: 1.935E-04 | global batch size: 512 | lm loss: 2.313880E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.394 | TFLOPs: 56.11 | 7: iteration 5770/ 44073 | consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 4.18 | learning rate: 1.935E-04 | global batch size: 512 | lm loss: 2.296924E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.359 | TFLOPs: 57.03 | 7: iteration 5780/ 44073 | consumed samples: 2959360 | consumed tokens: 6060769280 | elapsed time per iteration (s): 4.20 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.315738E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.800 | TFLOPs: 56.76 | 7: iteration 5790/ 44073 | consumed samples: 2964480 | consumed tokens: 6071255040 | elapsed time per iteration (s): 4.23 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.285949E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.922 | TFLOPs: 56.36 | 7: iteration 5800/ 44073 | consumed samples: 2969600 | consumed tokens: 6081740800 | elapsed time per iteration (s): 4.18 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.311537E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.563 | TFLOPs: 57.12 | 7: iteration 5810/ 44073 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 4.21 | learning rate: 1.934E-04 | global batch size: 512 | lm loss: 2.325009E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.499 | TFLOPs: 56.62 | 7: iteration 5820/ 44073 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 4.19 | learning rate: 1.933E-04 | global batch 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iteration 5940/ 44073 | consumed samples: 3041280 | consumed tokens: 6228541440 | elapsed time per iteration (s): 4.27 | learning rate: 1.930E-04 | global batch size: 512 | lm loss: 2.857045E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.945 | TFLOPs: 55.90 | 7: iteration 5950/ 44073 | consumed samples: 3046400 | consumed tokens: 6239027200 | elapsed time per iteration (s): 4.19 | learning rate: 1.930E-04 | global batch size: 512 | lm loss: 2.707027E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.262 | TFLOPs: 56.98 | 7: iteration 5960/ 44073 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 4.22 | learning rate: 1.930E-04 | global batch size: 512 | lm loss: 2.600266E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.441 | TFLOPs: 56.60 | 7: iteration 5970/ 44073 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 4.21 | learning rate: 1.930E-04 | global batch size: 512 | lm loss: 2.521312E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.718 | TFLOPs: 56.73 | 7: iteration 5980/ 44073 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 4.21 | learning rate: 1.929E-04 | global batch size: 512 | lm loss: 2.422701E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.741 | TFLOPs: 56.74 | 7: iteration 5990/ 44073 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 4.17 | learning rate: 1.929E-04 | global batch size: 512 | lm loss: 2.420606E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.683 | TFLOPs: 57.18 | 0: [2022-11-25 04:57:21,035] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00019288601721738536, 0.00019288601721738536, 0.00019288601721738536], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 6000/ 44073 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 4.22 | learning rate: 1.929E-04 | global batch size: 512 | lm loss: 2.398223E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.452 | TFLOPs: 56.60 | 0: steps: 6000 loss: 2.4362 iter time (s): 4.212 samples/sec: 121.548 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 6000 | lm loss value: 2.331460E+00 | lm loss PPL: 1.029296E+01 | 7: ------------------------------------------------------------------------------------------ 0: saving 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checkpoints_2b2/global_step6000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 04:57:28,690] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt. 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt. 1: [2022-11-25 04:57:28,800] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2022-11-25 04:57:28,800] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt 1: [2022-11-25 04:57:28,800] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt 1: [2022-11-25 04:57:28,800] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_9_mp_rank_00_optim_states.pt 1: [2022-11-25 04:57:28,800] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-25 04:57:28,800] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt. 1: [2022-11-25 04:57:28,800] [INFO] 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[Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-25 04:57:28,941] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,941] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,941] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,941] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,941] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt 6: [2022-11-25 04:57:28,941] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-25 04:57:28,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2022-11-25 04:57:28,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt 6: [2022-11-25 04:57:28,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 04:57:28,942] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step6000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-25 04:57:28,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-25 04:57:28,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-25 04:57:28,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 6: [2022-11-25 04:57:28,942] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step6000 is ready now! 0: successfully saved checkpoint at iteration 6000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 6444.93 7: iteration 6010/ 44073 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 4.97 | learning rate: 1.929E-04 | global batch size: 512 | lm loss: 2.352177E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.043 | TFLOPs: 48.02 | 7: iteration 6020/ 44073 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 4.22 | learning rate: 1.928E-04 | global batch size: 512 | lm loss: 2.346381E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.286 | TFLOPs: 56.53 | 7: iteration 6030/ 44073 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 4.24 | learning rate: 1.928E-04 | global batch size: 512 | lm loss: 2.332820E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.745 | TFLOPs: 56.27 | 7: iteration 6040/ 44073 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 4.25 | learning rate: 1.928E-04 | global batch size: 512 | lm loss: 2.347095E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.529 | TFLOPs: 56.17 | 7: iteration 6050/ 44073 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 4.25 | learning rate: 1.928E-04 | global batch size: 512 | lm loss: 2.327042E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.580 | TFLOPs: 56.20 | 7: iteration 6060/ 44073 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 4.20 | learning rate: 1.927E-04 | global batch size: 512 | lm loss: 2.323899E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.965 | TFLOPs: 56.84 | 7: iteration 6070/ 44073 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 4.27 | learning rate: 1.927E-04 | global batch size: 512 | lm loss: 2.350118E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.023 | TFLOPs: 55.94 | 7: iteration 6080/ 44073 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 4.21 | learning rate: 1.927E-04 | global batch size: 512 | lm loss: 2.335043E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.521 | TFLOPs: 56.63 | 7: iteration 6090/ 44073 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 4.21 | learning rate: 1.927E-04 | global batch size: 512 | lm loss: 2.294753E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.542 | TFLOPs: 56.64 | 7: iteration 6100/ 44073 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 4.20 | learning rate: 1.926E-04 | global batch size: 512 | lm loss: 2.326874E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.848 | TFLOPs: 56.79 | 7: iteration 6110/ 44073 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 4.22 | learning rate: 1.926E-04 | global batch size: 512 | lm loss: 2.332491E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.368 | TFLOPs: 56.56 | 7: iteration 6120/ 44073 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 4.18 | learning rate: 1.926E-04 | global batch size: 512 | lm loss: 2.310118E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.468 | TFLOPs: 57.08 | 7: iteration 6130/ 44073 | consumed samples: 3138560 | consumed tokens: 6427770880 | elapsed time per iteration (s): 4.22 | learning rate: 1.926E-04 | global batch size: 512 | lm loss: 2.323441E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.454 | TFLOPs: 56.60 | 7: iteration 6140/ 44073 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 4.21 | learning rate: 1.925E-04 | global batch size: 512 | lm loss: 2.321258E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.549 | TFLOPs: 56.65 | 7: iteration 6150/ 44073 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 4.23 | learning rate: 1.925E-04 | global batch size: 512 | lm loss: 2.321519E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.002 | TFLOPs: 56.39 | 7: iteration 6160/ 44073 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 4.20 | learning rate: 1.925E-04 | global batch size: 512 | lm loss: 2.317464E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.774 | TFLOPs: 56.75 | 7: iteration 6170/ 44073 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 4.21 | learning rate: 1.925E-04 | global batch size: 512 | lm loss: 2.330205E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.732 | TFLOPs: 56.73 | 7: iteration 6180/ 44073 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 4.20 | learning rate: 1.924E-04 | global batch size: 512 | lm loss: 2.316457E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.970 | TFLOPs: 56.84 | 7: iteration 6190/ 44073 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 4.22 | learning rate: 1.924E-04 | global batch size: 512 | lm loss: 2.312143E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.389 | TFLOPs: 56.57 | 7: iteration 6200/ 44073 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 4.22 | learning rate: 1.924E-04 | global batch size: 512 | lm loss: 2.309326E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.388 | TFLOPs: 56.57 | 7: iteration 6210/ 44073 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 4.20 | learning rate: 1.923E-04 | global batch size: 512 | lm loss: 2.322460E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.786 | TFLOPs: 56.76 | 7: iteration 6220/ 44073 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 4.25 | learning rate: 1.923E-04 | global batch size: 512 | lm loss: 2.302110E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.414 | TFLOPs: 56.12 | 7: iteration 6230/ 44073 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 4.23 | learning rate: 1.923E-04 | global batch size: 512 | lm loss: 2.321315E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.909 | TFLOPs: 56.35 | 7: iteration 6240/ 44073 | consumed samples: 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second: 121.727 | TFLOPs: 56.73 | 7: iteration 6300/ 44073 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 4.19 | learning rate: 1.921E-04 | global batch size: 512 | lm loss: 2.308497E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.138 | TFLOPs: 56.92 | 7: iteration 6310/ 44073 | consumed samples: 3230720 | consumed tokens: 6616514560 | elapsed time per iteration (s): 4.20 | learning rate: 1.921E-04 | global batch size: 512 | lm loss: 2.279193E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.790 | TFLOPs: 56.76 | 7: iteration 6320/ 44073 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 4.21 | learning rate: 1.921E-04 | global batch size: 512 | lm loss: 2.312661E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.629 | TFLOPs: 56.69 | 7: iteration 6330/ 44073 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 4.20 | learning rate: 1.920E-04 | global batch size: 512 | lm loss: 2.284381E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.886 | TFLOPs: 56.81 | 7: iteration 6340/ 44073 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 4.18 | learning rate: 1.920E-04 | global batch size: 512 | lm loss: 2.304191E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.400 | TFLOPs: 57.04 | 7: iteration 6350/ 44073 | consumed samples: 3251200 | consumed tokens: 6658457600 | elapsed time per iteration (s): 4.22 | learning rate: 1.920E-04 | global batch size: 512 | lm loss: 2.288386E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.203 | TFLOPs: 56.49 | 7: iteration 6360/ 44073 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 4.18 | learning rate: 1.919E-04 | global batch size: 512 | lm loss: 2.279384E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.369 | TFLOPs: 57.03 | 7: iteration 6370/ 44073 | consumed samples: 3261440 | consumed tokens: 6679429120 | elapsed time per iteration (s): 4.19 | learning rate: 1.919E-04 | global batch size: 512 | lm loss: 2.275126E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.146 | TFLOPs: 56.93 | 7: iteration 6380/ 44073 | consumed samples: 3266560 | consumed tokens: 6689914880 | elapsed time per iteration (s): 4.20 | learning rate: 1.919E-04 | global batch size: 512 | lm loss: 2.303964E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.940 | TFLOPs: 56.83 | 7: iteration 6390/ 44073 | consumed samples: 3271680 | consumed tokens: 6700400640 | elapsed time per iteration (s): 4.21 | learning rate: 1.919E-04 | global batch size: 512 | lm loss: 2.285871E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.709 | TFLOPs: 56.72 | 7: iteration 6400/ 44073 | consumed samples: 3276800 | consumed tokens: 6710886400 | elapsed time per iteration (s): 4.19 | learning rate: 1.918E-04 | global batch size: 512 | lm loss: 2.289210E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.333 | TFLOPs: 57.01 | 7: iteration 6410/ 44073 | consumed samples: 3281920 | consumed tokens: 6721372160 | elapsed time per iteration (s): 4.19 | learning rate: 1.918E-04 | global batch size: 512 | lm loss: 2.287165E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.050 | TFLOPs: 56.88 | 7: iteration 6420/ 44073 | consumed samples: 3287040 | consumed tokens: 6731857920 | elapsed time per iteration (s): 4.20 | learning rate: 1.918E-04 | global batch size: 512 | lm loss: 2.285889E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.982 | TFLOPs: 56.85 | 7: iteration 6430/ 44073 | consumed samples: 3292160 | consumed tokens: 6742343680 | elapsed time per iteration (s): 4.17 | learning rate: 1.918E-04 | global batch size: 512 | lm loss: 2.261962E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.683 | TFLOPs: 57.18 | 7: iteration 6440/ 44073 | consumed samples: 3297280 | consumed tokens: 6752829440 | elapsed time per iteration (s): 4.21 | learning rate: 1.917E-04 | global batch size: 512 | lm loss: 2.284690E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.662 | TFLOPs: 56.70 | 7: iteration 6450/ 44073 | consumed samples: 3302400 | consumed tokens: 6763315200 | elapsed time per iteration (s): 4.16 | learning rate: 1.917E-04 | global batch size: 512 | lm loss: 2.290300E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.940 | TFLOPs: 57.30 | 7: iteration 6460/ 44073 | consumed samples: 3307520 | consumed tokens: 6773800960 | elapsed time per iteration (s): 4.18 | learning rate: 1.917E-04 | global batch size: 512 | lm loss: 2.307555E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.582 | TFLOPs: 57.13 | 7: iteration 6470/ 44073 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 4.29 | learning rate: 1.917E-04 | global batch size: 512 | lm loss: 2.300074E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.301 | TFLOPs: 55.60 | 7: iteration 6480/ 44073 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 4.20 | learning rate: 1.916E-04 | global batch size: 512 | lm loss: 2.270021E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.934 | TFLOPs: 56.83 | 7: iteration 6490/ 44073 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 4.23 | learning rate: 1.916E-04 | global batch size: 512 | lm loss: 2.286858E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.146 | TFLOPs: 56.46 | 7: iteration 6500/ 44073 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 4.22 | learning rate: 1.916E-04 | global batch size: 512 | lm loss: 2.274761E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.426 | TFLOPs: 56.59 | 7: iteration 6510/ 44073 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 4.20 | learning rate: 1.915E-04 | global batch size: 512 | lm loss: 2.289023E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.777 | TFLOPs: 56.75 | 7: iteration 6520/ 44073 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 4.21 | learning rate: 1.915E-04 | global batch size: 512 | lm loss: 2.275866E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.580 | TFLOPs: 56.66 | 7: iteration 6530/ 44073 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 4.20 | learning rate: 1.915E-04 | global batch size: 512 | lm loss: 2.260738E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.884 | TFLOPs: 56.80 | 7: iteration 6540/ 44073 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 4.18 | learning rate: 1.915E-04 | global batch size: 512 | lm loss: 2.298178E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.412 | TFLOPs: 57.05 | 7: iteration 6550/ 44073 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 4.18 | learning rate: 1.914E-04 | global batch size: 512 | lm loss: 2.291101E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.356 | TFLOPs: 57.02 | 7: iteration 6560/ 44073 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 4.22 | learning rate: 1.914E-04 | global batch size: 512 | lm loss: 2.280014E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.455 | TFLOPs: 56.60 | 7: iteration 6570/ 44073 | consumed samples: 3363840 | consumed tokens: 6889144320 | elapsed time per iteration (s): 4.37 | learning rate: 1.914E-04 | global batch size: 512 | lm loss: 2.249982E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 117.209 | TFLOPs: 54.63 | 7: iteration 6580/ 44073 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 4.16 | learning rate: 1.913E-04 | global batch size: 512 | lm loss: 2.287820E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.066 | TFLOPs: 57.36 | 7: iteration 6590/ 44073 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 4.21 | learning rate: 1.913E-04 | global batch size: 512 | lm loss: 2.263323E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.649 | TFLOPs: 56.69 | 7: iteration 6600/ 44073 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 4.19 | learning rate: 1.913E-04 | global batch size: 512 | lm loss: 2.281454E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.143 | TFLOPs: 56.92 | 7: iteration 6610/ 44073 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 4.17 | learning rate: 1.913E-04 | global batch size: 512 | lm loss: 2.271494E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.850 | TFLOPs: 57.25 | 7: iteration 6620/ 44073 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 4.24 | learning rate: 1.912E-04 | global batch size: 512 | lm loss: 2.281390E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.826 | TFLOPs: 56.31 | 7: iteration 6630/ 44073 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 4.18 | learning rate: 1.912E-04 | global batch size: 512 | lm loss: 2.288364E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.561 | TFLOPs: 57.12 | 7: iteration 6640/ 44073 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 4.20 | learning rate: 1.912E-04 | global batch size: 512 | lm loss: 2.271244E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.916 | TFLOPs: 56.82 | 7: iteration 6650/ 44073 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 4.18 | learning rate: 1.912E-04 | global batch size: 512 | lm loss: 2.289170E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.538 | TFLOPs: 57.11 | 7: iteration 6660/ 44073 | consumed samples: 3409920 | consumed tokens: 6983516160 | elapsed time per iteration (s): 4.22 | learning rate: 1.911E-04 | global batch size: 512 | lm loss: 2.277404E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.424 | TFLOPs: 56.59 | 7: iteration 6670/ 44073 | consumed samples: 3415040 | consumed tokens: 6994001920 | elapsed time per iteration (s): 4.21 | learning rate: 1.911E-04 | global batch size: 512 | lm loss: 2.269222E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.619 | TFLOPs: 56.68 | 7: iteration 6680/ 44073 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 4.18 | learning rate: 1.911E-04 | global batch size: 512 | lm loss: 2.271198E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.525 | TFLOPs: 57.10 | 7: iteration 6690/ 44073 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 4.18 | learning rate: 1.910E-04 | global batch size: 512 | lm loss: 2.271295E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.368 | TFLOPs: 57.03 | 7: iteration 6700/ 44073 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 4.30 | learning rate: 1.910E-04 | global batch size: 512 | lm loss: 2.278869E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.091 | TFLOPs: 55.50 | 7: iteration 6710/ 44073 | consumed samples: 3435520 | consumed tokens: 7035944960 | elapsed time per iteration (s): 4.21 | learning rate: 1.910E-04 | global batch size: 512 | lm loss: 2.307840E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.491 | TFLOPs: 56.62 | 7: iteration 6720/ 44073 | consumed samples: 3440640 | consumed tokens: 7046430720 | elapsed time per iteration (s): 4.17 | learning rate: 1.910E-04 | global batch size: 512 | lm loss: 2.265228E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.690 | TFLOPs: 57.18 | 7: iteration 6730/ 44073 | consumed samples: 3445760 | consumed tokens: 7056916480 | elapsed time per iteration (s): 4.18 | learning rate: 1.909E-04 | global batch size: 512 | lm loss: 2.290335E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.620 | TFLOPs: 57.15 | 7: iteration 6740/ 44073 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 4.18 | learning rate: 1.909E-04 | global batch size: 512 | lm loss: 2.256063E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.361 | TFLOPs: 57.03 | 7: iteration 6750/ 44073 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 4.21 | learning rate: 1.909E-04 | global batch size: 512 | lm loss: 2.252279E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.727 | TFLOPs: 56.73 | 7: iteration 6760/ 44073 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 4.21 | learning rate: 1.908E-04 | global batch size: 512 | lm loss: 2.288838E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.512 | TFLOPs: 56.63 | 7: iteration 6770/ 44073 | consumed samples: 3466240 | consumed tokens: 7098859520 | elapsed time per iteration (s): 4.19 | learning rate: 1.908E-04 | global batch size: 512 | lm loss: 2.275353E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.089 | TFLOPs: 56.90 | 7: iteration 6780/ 44073 | consumed samples: 3471360 | consumed tokens: 7109345280 | elapsed time per iteration (s): 4.19 | learning rate: 1.908E-04 | global batch size: 512 | lm loss: 2.269349E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.224 | TFLOPs: 56.96 | 7: iteration 6790/ 44073 | consumed samples: 3476480 | consumed tokens: 7119831040 | elapsed time per iteration (s): 4.43 | learning rate: 1.908E-04 | global batch size: 512 | lm loss: 2.275544E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.518 | TFLOPs: 53.84 | 7: iteration 6800/ 44073 | consumed samples: 3481600 | consumed tokens: 7130316800 | elapsed time per iteration (s): 4.23 | learning rate: 1.907E-04 | global batch size: 512 | lm loss: 2.284304E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.040 | TFLOPs: 56.41 | 7: iteration 6810/ 44073 | consumed samples: 3486720 | consumed tokens: 7140802560 | elapsed time per iteration (s): 4.21 | learning rate: 1.907E-04 | global batch size: 512 | lm loss: 2.265701E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.755 | TFLOPs: 56.74 | 7: iteration 6820/ 44073 | consumed samples: 3491840 | consumed tokens: 7151288320 | elapsed time per iteration (s): 4.21 | learning rate: 1.907E-04 | global batch size: 512 | lm loss: 2.262713E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.678 | TFLOPs: 56.71 | 7: iteration 6830/ 44073 | consumed samples: 3496960 | consumed tokens: 7161774080 | elapsed time per iteration (s): 4.20 | learning rate: 1.906E-04 | global batch size: 512 | lm loss: 2.276014E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.836 | TFLOPs: 56.78 | 7: iteration 6840/ 44073 | consumed samples: 3502080 | consumed tokens: 7172259840 | elapsed time per iteration (s): 4.20 | learning rate: 1.906E-04 | global batch size: 512 | lm loss: 2.274219E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.824 | TFLOPs: 56.78 | 7: iteration 6850/ 44073 | consumed samples: 3507200 | consumed tokens: 7182745600 | elapsed time per iteration (s): 4.22 | learning rate: 1.906E-04 | global batch size: 512 | lm loss: 2.288600E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.311 | TFLOPs: 56.54 | 7: iteration 6860/ 44073 | consumed samples: 3512320 | consumed tokens: 7193231360 | elapsed time per iteration (s): 4.24 | learning rate: 1.906E-04 | global batch size: 512 | lm loss: 2.255135E+00 | grad norm: 0.150 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.891 | TFLOPs: 56.34 | 7: iteration 6870/ 44073 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 4.26 | learning rate: 1.905E-04 | global batch size: 512 | lm loss: 2.277048E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.089 | TFLOPs: 55.97 | 7: iteration 6880/ 44073 | consumed samples: 3522560 | consumed tokens: 7214202880 | elapsed time per iteration (s): 4.21 | learning rate: 1.905E-04 | global batch size: 512 | lm loss: 2.259602E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.666 | TFLOPs: 56.70 | 7: iteration 6890/ 44073 | consumed samples: 3527680 | consumed tokens: 7224688640 | elapsed time per iteration (s): 4.20 | learning rate: 1.905E-04 | global batch size: 512 | lm loss: 2.276059E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.897 | TFLOPs: 56.81 | 7: iteration 6900/ 44073 | consumed samples: 3532800 | consumed tokens: 7235174400 | elapsed time per iteration (s): 4.21 | learning rate: 1.904E-04 | global batch size: 512 | lm loss: 2.279462E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.491 | TFLOPs: 56.62 | 7: iteration 6910/ 44073 | consumed samples: 3537920 | consumed tokens: 7245660160 | elapsed time per iteration (s): 4.16 | learning rate: 1.904E-04 | global batch size: 512 | lm loss: 2.254719E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.068 | TFLOPs: 57.36 | 7: iteration 6920/ 44073 | consumed samples: 3543040 | consumed tokens: 7256145920 | elapsed time per iteration (s): 4.17 | learning rate: 1.904E-04 | global batch size: 512 | lm loss: 2.267915E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.891 | TFLOPs: 57.27 | 7: iteration 6930/ 44073 | consumed samples: 3548160 | consumed tokens: 7266631680 | elapsed time per iteration (s): 4.43 | learning rate: 1.904E-04 | global batch size: 512 | lm loss: 2.292614E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.678 | TFLOPs: 53.91 | 7: iteration 6940/ 44073 | consumed samples: 3553280 | consumed tokens: 7277117440 | elapsed time per iteration (s): 4.25 | learning rate: 1.903E-04 | global batch size: 512 | lm loss: 2.254272E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.580 | TFLOPs: 56.20 | 7: iteration 6950/ 44073 | consumed samples: 3558400 | consumed tokens: 7287603200 | elapsed time per iteration (s): 4.18 | learning rate: 1.903E-04 | global batch size: 512 | lm loss: 2.251509E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.572 | TFLOPs: 57.12 | 7: iteration 6960/ 44073 | consumed samples: 3563520 | consumed tokens: 7298088960 | elapsed time per iteration (s): 4.21 | learning rate: 1.903E-04 | global batch size: 512 | lm loss: 2.264749E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.664 | TFLOPs: 56.70 | 7: iteration 6970/ 44073 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 4.18 | learning rate: 1.902E-04 | global batch size: 512 | lm loss: 2.273816E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.397 | TFLOPs: 57.04 | 7: iteration 6980/ 44073 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 4.18 | learning rate: 1.902E-04 | global batch size: 512 | lm loss: 2.272180E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.426 | TFLOPs: 57.06 | 7: iteration 6990/ 44073 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 4.16 | learning rate: 1.902E-04 | global batch size: 512 | lm loss: 2.258416E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.951 | TFLOPs: 57.30 | 7: iteration 7000/ 44073 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 4.18 | learning rate: 1.901E-04 | global batch size: 512 | lm loss: 2.237976E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.578 | TFLOPs: 57.13 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 7000 | lm loss value: 2.213866E+00 | lm loss PPL: 9.151030E+00 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 7000 to checkpoints_2b2 0: [2022-11-25 06:07:42,006] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step7000 is begin to save! 0: [2022-11-25 06:07:42,031] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step7000/layer_01-model_00-model_states.pt... 0: [2022-11-25 06:07:42,369] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/layer_01-model_00-model_states.pt. 0: [2022-11-25 06:07:42,369] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step7000/layer_03-model_00-model_states.pt... 0: [2022-11-25 06:07:42,518] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/layer_03-model_00-model_states.pt. 0: [2022-11-25 06:07:42,519] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step7000/layer_04-model_00-model_states.pt... 0: [2022-11-25 06:07:42,668] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] 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[INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 2: [2022-11-25 06:07:47,758] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-25 06:07:47,770] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 4: [2022-11-25 06:07:47,769] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2022-11-25 06:07:47,769] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2022-11-25 06:07:47,769] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2022-11-25 06:07:47,769] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-25 06:07:47,769] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 7: [2022-11-25 06:07:47,770] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt 4: [2022-11-25 06:07:47,769] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-25 06:07:47,770] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 4: [2022-11-25 06:07:47,769] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt. 4: [2022-11-25 06:07:47,770] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 4: [2022-11-25 06:07:47,770] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-25 06:07:47,807] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2022-11-25 06:07:47,807] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt 7: [2022-11-25 06:07:47,807] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 7: [2022-11-25 06:07:48,156] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2022-11-25 06:07:48,156] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step7000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2022-11-25 06:07:48,156] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step7000 is ready now! 0: successfully saved checkpoint at iteration 7000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 6206.44 7: iteration 7010/ 44073 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 4.94 | learning rate: 1.901E-04 | global batch size: 512 | lm loss: 2.286072E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.740 | TFLOPs: 48.35 | 7: iteration 7020/ 44073 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 4.18 | learning rate: 1.901E-04 | global batch size: 512 | lm loss: 2.266313E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.409 | TFLOPs: 57.05 | 7: iteration 7030/ 44073 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 4.16 | learning rate: 1.901E-04 | global batch size: 512 | lm loss: 2.243499E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.941 | TFLOPs: 57.30 | 7: iteration 7040/ 44073 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 4.19 | learning rate: 1.900E-04 | global batch size: 512 | lm loss: 2.250320E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.200 | TFLOPs: 56.95 | 7: iteration 7050/ 44073 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 4.18 | learning rate: 1.900E-04 | global batch size: 512 | lm loss: 2.250921E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.431 | TFLOPs: 57.06 | 7: iteration 7060/ 44073 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 4.18 | learning rate: 1.900E-04 | global batch size: 512 | lm loss: 2.267338E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.463 | TFLOPs: 57.07 | 7: iteration 7070/ 44073 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 4.20 | learning rate: 1.899E-04 | global batch size: 512 | lm loss: 2.262760E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.049 | TFLOPs: 56.88 | 7: iteration 7080/ 44073 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 4.17 | learning rate: 1.899E-04 | global batch size: 512 | lm loss: 2.285581E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.793 | TFLOPs: 57.23 | 7: iteration 7090/ 44073 | consumed samples: 3630080 | consumed tokens: 7434403840 | elapsed time per iteration (s): 4.18 | learning rate: 1.899E-04 | global batch size: 512 | lm loss: 2.274239E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.583 | TFLOPs: 57.13 | 7: iteration 7100/ 44073 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 4.18 | learning rate: 1.899E-04 | global batch size: 512 | lm loss: 2.260021E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.550 | TFLOPs: 57.11 | 7: iteration 7110/ 44073 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 4.18 | learning rate: 1.898E-04 | global batch size: 512 | lm loss: 2.254401E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.457 | TFLOPs: 57.07 | 7: iteration 7120/ 44073 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 4.21 | learning rate: 1.898E-04 | global batch size: 512 | lm loss: 2.261362E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.573 | TFLOPs: 56.66 | 7: iteration 7130/ 44073 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 4.19 | learning rate: 1.898E-04 | global batch size: 512 | lm loss: 2.274652E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.091 | TFLOPs: 56.90 | 7: iteration 7140/ 44073 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 4.18 | learning rate: 1.897E-04 | global batch size: 512 | lm loss: 2.245674E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.534 | TFLOPs: 57.11 | 7: iteration 7150/ 44073 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 4.24 | learning rate: 1.897E-04 | global batch size: 512 | lm loss: 2.242257E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.743 | TFLOPs: 56.27 | 7: iteration 7160/ 44073 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 4.21 | learning rate: 1.897E-04 | global batch size: 512 | lm loss: 2.221474E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.754 | TFLOPs: 56.74 | 7: iteration 7170/ 44073 | consumed samples: 3671040 | consumed tokens: 7518289920 | elapsed time per iteration (s): 4.18 | learning rate: 1.896E-04 | global batch size: 512 | lm loss: 2.247528E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.423 | TFLOPs: 57.06 | 7: iteration 7180/ 44073 | consumed samples: 3676160 | consumed tokens: 7528775680 | elapsed time per iteration (s): 4.18 | learning rate: 1.896E-04 | global batch size: 512 | lm loss: 2.282280E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.594 | TFLOPs: 57.14 | 7: iteration 7190/ 44073 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 4.19 | learning rate: 1.896E-04 | global batch size: 512 | lm loss: 2.262147E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.130 | TFLOPs: 56.92 | 7: iteration 7200/ 44073 | consumed samples: 3686400 | consumed tokens: 7549747200 | elapsed time per iteration (s): 4.24 | learning rate: 1.896E-04 | global batch size: 512 | lm loss: 2.241993E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.782 | TFLOPs: 56.29 | 7: iteration 7210/ 44073 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 4.18 | learning rate: 1.895E-04 | global batch size: 512 | lm loss: 2.232441E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.512 | TFLOPs: 57.10 | 7: iteration 7220/ 44073 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 4.19 | learning rate: 1.895E-04 | global batch size: 512 | lm loss: 2.239600E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.191 | TFLOPs: 56.95 | 7: iteration 7230/ 44073 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 4.19 | learning rate: 1.895E-04 | global batch size: 512 | lm loss: 2.252636E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.340 | TFLOPs: 57.02 | 7: iteration 7240/ 44073 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 4.22 | learning rate: 1.894E-04 | global batch size: 512 | lm loss: 2.252398E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.225 | TFLOPs: 56.50 | 7: iteration 7250/ 44073 | consumed samples: 3712000 | consumed tokens: 7602176000 | elapsed time per iteration (s): 4.22 | learning rate: 1.894E-04 | global batch size: 512 | lm loss: 2.241480E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.199 | TFLOPs: 56.48 | 7: iteration 7260/ 44073 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed time per iteration (s): 4.18 | learning rate: 1.894E-04 | global batch size: 512 | lm loss: 2.284637E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.595 | TFLOPs: 57.14 | 7: iteration 7270/ 44073 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 4.19 | learning rate: 1.893E-04 | global batch size: 512 | lm loss: 2.253250E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.151 | TFLOPs: 56.93 | 7: iteration 7280/ 44073 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 4.21 | learning rate: 1.893E-04 | global batch size: 512 | lm loss: 2.233885E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.578 | TFLOPs: 56.66 | 7: iteration 7290/ 44073 | consumed samples: 3732480 | consumed tokens: 7644119040 | elapsed time per iteration (s): 4.21 | learning rate: 1.893E-04 | global batch size: 512 | lm loss: 2.233386E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.730 | TFLOPs: 56.73 | 7: iteration 7300/ 44073 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 4.16 | learning rate: 1.892E-04 | global batch size: 512 | lm loss: 2.266964E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.955 | TFLOPs: 57.30 | 7: iteration 7310/ 44073 | consumed samples: 3742720 | consumed tokens: 7665090560 | elapsed time per iteration (s): 4.20 | learning rate: 1.892E-04 | global batch size: 512 | lm loss: 2.258572E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.819 | TFLOPs: 56.77 | 7: iteration 7320/ 44073 | consumed samples: 3747840 | consumed tokens: 7675576320 | elapsed time per iteration (s): 4.23 | learning rate: 1.892E-04 | global batch size: 512 | lm loss: 2.229806E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.083 | TFLOPs: 56.43 | 7: iteration 7330/ 44073 | consumed samples: 3752960 | consumed tokens: 7686062080 | elapsed time per iteration (s): 4.18 | learning rate: 1.892E-04 | global batch size: 512 | lm loss: 2.240973E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.585 | TFLOPs: 57.13 | 7: iteration 7340/ 44073 | consumed samples: 3758080 | consumed tokens: 7696547840 | elapsed time per iteration (s): 4.16 | learning rate: 1.891E-04 | global batch size: 512 | lm loss: 2.251693E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.134 | TFLOPs: 57.39 | 7: iteration 7350/ 44073 | consumed samples: 3763200 | consumed tokens: 7707033600 | elapsed time per iteration (s): 4.15 | learning rate: 1.891E-04 | global batch size: 512 | lm loss: 2.251552E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.327 | TFLOPs: 57.48 | 7: iteration 7360/ 44073 | consumed samples: 3768320 | consumed tokens: 7717519360 | elapsed time per iteration (s): 4.18 | learning rate: 1.891E-04 | global batch size: 512 | lm loss: 2.247317E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.550 | TFLOPs: 57.11 | 7: iteration 7370/ 44073 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 4.22 | learning rate: 1.890E-04 | global batch size: 512 | lm loss: 2.254291E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.466 | TFLOPs: 56.61 | 7: iteration 7380/ 44073 | consumed samples: 3778560 | consumed tokens: 7738490880 | elapsed time per iteration (s): 4.19 | learning rate: 1.890E-04 | global batch size: 512 | lm loss: 2.244160E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.131 | TFLOPs: 56.92 | 7: iteration 7390/ 44073 | consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 4.27 | learning rate: 1.890E-04 | global batch size: 512 | lm loss: 2.258108E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.854 | TFLOPs: 55.86 | 7: iteration 7400/ 44073 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 4.37 | learning rate: 1.889E-04 | global batch size: 512 | lm loss: 2.251628E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 117.057 | TFLOPs: 54.55 | 7: iteration 7410/ 44073 | consumed samples: 3793920 | consumed tokens: 7769948160 | elapsed time per iteration (s): 4.25 | learning rate: 1.889E-04 | global batch size: 512 | lm loss: 2.252347E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.399 | TFLOPs: 56.11 | 7: iteration 7420/ 44073 | consumed samples: 3799040 | consumed tokens: 7780433920 | elapsed time per iteration (s): 4.18 | learning rate: 1.889E-04 | global batch size: 512 | lm loss: 2.245482E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.453 | TFLOPs: 57.07 | 7: iteration 7430/ 44073 | consumed samples: 3804160 | consumed tokens: 7790919680 | elapsed time per iteration (s): 4.18 | learning rate: 1.888E-04 | global batch size: 512 | lm loss: 2.230046E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.543 | TFLOPs: 57.11 | 7: iteration 7440/ 44073 | consumed samples: 3809280 | consumed tokens: 7801405440 | elapsed time per iteration (s): 4.22 | learning rate: 1.888E-04 | global batch size: 512 | lm loss: 2.251983E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.210 | TFLOPs: 56.49 | 7: iteration 7450/ 44073 | consumed samples: 3814400 | consumed tokens: 7811891200 | elapsed time per iteration (s): 4.21 | learning rate: 1.888E-04 | global batch size: 512 | lm loss: 2.221517E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.669 | TFLOPs: 56.70 | 7: iteration 7460/ 44073 | consumed samples: 3819520 | consumed tokens: 7822376960 | elapsed time per iteration (s): 4.26 | learning rate: 1.887E-04 | global batch size: 512 | lm loss: 2.240539E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.082 | TFLOPs: 55.96 | 7: iteration 7470/ 44073 | consumed samples: 3824640 | consumed tokens: 7832862720 | elapsed time per iteration (s): 4.22 | learning rate: 1.887E-04 | global batch size: 512 | lm loss: 2.237818E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.419 | TFLOPs: 56.59 | 7: iteration 7480/ 44073 | consumed samples: 3829760 | consumed tokens: 7843348480 | elapsed time per iteration (s): 4.27 | learning rate: 1.887E-04 | global batch size: 512 | lm loss: 2.209321E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.854 | TFLOPs: 55.86 | 7: iteration 7490/ 44073 | consumed samples: 3834880 | consumed tokens: 7853834240 | elapsed time per iteration (s): 4.32 | learning rate: 1.887E-04 | global batch size: 512 | lm loss: 2.239638E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 118.596 | TFLOPs: 55.27 | 7: iteration 7500/ 44073 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 4.23 | learning rate: 1.886E-04 | global batch size: 512 | lm loss: 2.478934E+00 | grad norm: 3.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.097 | TFLOPs: 56.44 | 7: iteration 7510/ 44073 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 4.26 | learning rate: 1.886E-04 | global batch size: 512 | lm loss: 3.416974E+00 | grad norm: 5.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.206 | TFLOPs: 56.02 | 7: iteration 7520/ 44073 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 4.21 | learning rate: 1.886E-04 | global batch size: 512 | lm loss: 2.895564E+00 | grad norm: 1.832 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.662 | TFLOPs: 56.70 | 7: iteration 7530/ 44073 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 4.20 | learning rate: 1.885E-04 | global batch size: 512 | lm loss: 2.649863E+00 | grad norm: 1.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.016 | TFLOPs: 56.87 | 7: iteration 7540/ 44073 | consumed samples: 3860480 | consumed tokens: 7906263040 | elapsed time per iteration (s): 4.22 | learning rate: 1.885E-04 | global batch size: 512 | lm loss: 2.459320E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.227 | TFLOPs: 56.50 | 7: iteration 7550/ 44073 | consumed samples: 3865600 | consumed 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iterations: 0 | samples per second: 121.070 | TFLOPs: 56.42 | 7: iteration 7640/ 44073 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 4.25 | learning rate: 1.882E-04 | global batch size: 512 | lm loss: 2.261798E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.599 | TFLOPs: 56.21 | 7: iteration 7650/ 44073 | consumed samples: 3916800 | consumed tokens: 8021606400 | elapsed time per iteration (s): 4.21 | learning rate: 1.881E-04 | global batch size: 512 | lm loss: 2.246387E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.688 | TFLOPs: 56.71 | 7: iteration 7660/ 44073 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 4.22 | learning rate: 1.881E-04 | global batch size: 512 | lm loss: 2.257887E+00 | grad norm: 0.159 | num zeros: 0.0 | number of 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norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.799 | TFLOPs: 56.30 | 7: iteration 7700/ 44073 | consumed samples: 3942400 | consumed tokens: 8074035200 | elapsed time per iteration (s): 4.19 | learning rate: 1.880E-04 | global batch size: 512 | lm loss: 2.254634E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.072 | TFLOPs: 56.89 | 7: iteration 7710/ 44073 | consumed samples: 3947520 | consumed tokens: 8084520960 | elapsed time per iteration (s): 4.23 | learning rate: 1.880E-04 | global batch size: 512 | lm loss: 2.276679E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.922 | TFLOPs: 56.36 | 7: iteration 7720/ 44073 | consumed samples: 3952640 | consumed tokens: 8095006720 | elapsed time per iteration (s): 4.27 | learning rate: 1.879E-04 | global batch size: 512 | lm loss: 2.247698E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.862 | TFLOPs: 55.86 | 7: iteration 7730/ 44073 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 4.21 | learning rate: 1.879E-04 | global batch size: 512 | lm loss: 2.257274E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.504 | TFLOPs: 56.63 | 7: iteration 7740/ 44073 | consumed samples: 3962880 | consumed tokens: 8115978240 | elapsed time per iteration (s): 4.19 | learning rate: 1.879E-04 | global batch size: 512 | lm loss: 2.255594E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.098 | TFLOPs: 56.90 | 7: iteration 7750/ 44073 | consumed samples: 3968000 | consumed tokens: 8126464000 | elapsed time per iteration (s): 4.20 | learning rate: 1.878E-04 | global batch size: 512 | lm loss: 2.247036E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.934 | TFLOPs: 56.83 | 7: iteration 7760/ 44073 | consumed samples: 3973120 | consumed tokens: 8136949760 | elapsed time per iteration (s): 4.22 | learning rate: 1.878E-04 | global batch size: 512 | lm loss: 2.253462E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.419 | TFLOPs: 56.59 | 7: iteration 7770/ 44073 | consumed samples: 3978240 | consumed tokens: 8147435520 | elapsed time per iteration (s): 4.24 | learning rate: 1.878E-04 | global batch size: 512 | lm loss: 2.264364E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.784 | TFLOPs: 56.29 | 7: iteration 7780/ 44073 | consumed samples: 3983360 | consumed tokens: 8157921280 | elapsed time per iteration (s): 4.18 | learning rate: 1.877E-04 | global batch size: 512 | lm loss: 2.237298E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.563 | TFLOPs: 57.12 | 7: iteration 7790/ 44073 | consumed samples: 3988480 | consumed tokens: 8168407040 | elapsed time per iteration (s): 4.23 | learning rate: 1.877E-04 | global batch size: 512 | lm loss: 2.239933E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.065 | TFLOPs: 56.42 | 7: iteration 7800/ 44073 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 4.20 | learning rate: 1.877E-04 | global batch size: 512 | lm loss: 2.257153E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.972 | TFLOPs: 56.85 | 7: iteration 7810/ 44073 | consumed samples: 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iteration 7840/ 44073 | consumed samples: 4014080 | consumed tokens: 8220835840 | elapsed time per iteration (s): 4.20 | learning rate: 1.875E-04 | global batch size: 512 | lm loss: 2.234962E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.922 | TFLOPs: 56.82 | 7: iteration 7850/ 44073 | consumed samples: 4019200 | consumed tokens: 8231321600 | elapsed time per iteration (s): 4.18 | learning rate: 1.875E-04 | global batch size: 512 | lm loss: 2.255456E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.365 | TFLOPs: 57.03 | 7: iteration 7860/ 44073 | consumed samples: 4024320 | consumed tokens: 8241807360 | elapsed time per iteration (s): 4.33 | learning rate: 1.875E-04 | global batch size: 512 | lm loss: 2.258986E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 118.317 | TFLOPs: 55.14 | 7: iteration 7870/ 44073 | consumed samples: 4029440 | consumed tokens: 8252293120 | elapsed time per iteration (s): 4.22 | learning rate: 1.874E-04 | global batch size: 512 | lm loss: 2.250183E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.368 | TFLOPs: 56.56 | 7: iteration 7880/ 44073 | consumed samples: 4034560 | consumed tokens: 8262778880 | elapsed time per iteration (s): 4.24 | learning rate: 1.874E-04 | global batch size: 512 | lm loss: 2.244798E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.875 | TFLOPs: 56.33 | 7: iteration 7890/ 44073 | consumed samples: 4039680 | consumed tokens: 8273264640 | elapsed time per iteration (s): 4.17 | learning rate: 1.874E-04 | global batch size: 512 | lm loss: 2.236316E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.741 | TFLOPs: 57.20 | 7: iteration 7900/ 44073 | consumed samples: 4044800 | consumed tokens: 8283750400 | elapsed time per iteration (s): 4.19 | learning rate: 1.873E-04 | global batch size: 512 | lm loss: 2.221682E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.238 | TFLOPs: 56.97 | 7: iteration 7910/ 44073 | consumed samples: 4049920 | consumed tokens: 8294236160 | elapsed time per iteration (s): 4.26 | learning rate: 1.873E-04 | global batch size: 512 | lm loss: 2.232364E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.224 | TFLOPs: 56.03 | 7: iteration 7920/ 44073 | consumed samples: 4055040 | consumed tokens: 8304721920 | elapsed time per iteration (s): 4.24 | learning rate: 1.873E-04 | global batch size: 512 | lm loss: 2.246525E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.703 | TFLOPs: 56.25 | 7: iteration 7930/ 44073 | consumed samples: 4060160 | consumed tokens: 8315207680 | elapsed time per iteration (s): 4.26 | learning rate: 1.872E-04 | global batch size: 512 | lm loss: 2.243117E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.066 | TFLOPs: 55.96 | 7: iteration 7940/ 44073 | consumed samples: 4065280 | consumed tokens: 8325693440 | elapsed time per iteration (s): 4.26 | learning rate: 1.872E-04 | global batch size: 512 | lm loss: 2.223857E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.263 | TFLOPs: 56.05 | 7: iteration 7950/ 44073 | consumed samples: 4070400 | consumed tokens: 8336179200 | elapsed time per iteration (s): 4.17 | learning rate: 1.872E-04 | global batch size: 512 | lm loss: 2.241352E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.865 | TFLOPs: 57.26 | 7: iteration 7960/ 44073 | consumed samples: 4075520 | consumed tokens: 8346664960 | elapsed time per iteration (s): 4.18 | learning rate: 1.871E-04 | global batch size: 512 | lm loss: 2.225301E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.452 | TFLOPs: 57.07 | 7: iteration 7970/ 44073 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 4.17 | learning rate: 1.871E-04 | global batch size: 512 | lm loss: 2.232019E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.722 | TFLOPs: 57.19 | 7: iteration 7980/ 44073 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 4.21 | learning rate: 1.871E-04 | global batch size: 512 | lm loss: 2.234123E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.577 | TFLOPs: 56.66 | 7: iteration 7990/ 44073 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 4.19 | learning rate: 1.870E-04 | global batch size: 512 | lm loss: 2.248563E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.137 | TFLOPs: 56.92 | 0: [2022-11-25 07:17:58,209] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.0001869954336874501, 0.0001869954336874501, 0.0001869954336874501], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 8000/ 44073 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 4.18 | learning rate: 1.870E-04 | global batch size: 512 | lm loss: 2.241989E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.578 | TFLOPs: 57.13 | 0: steps: 8000 loss: 2.2879 iter time (s): 4.208 samples/sec: 121.669 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 8000 | lm loss value: 2.184408E+00 | lm loss PPL: 8.885386E+00 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 8000 to checkpoints_2b2 0: [2022-11-25 07:17:59,608] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step8000 is begin to save! 0: [2022-11-25 07:17:59,668] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step8000/layer_01-model_00-model_states.pt... 0: [2022-11-25 07:18:00,145] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step8000/layer_01-model_00-model_states.pt. 0: [2022-11-25 07:18:00,145] [INFO] 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[INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step8000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2022-11-25 07:18:05,903] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step8000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2022-11-25 07:18:05,903] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step8000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-25 07:18:05,903] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2022-11-25 07:18:05,903] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step8000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-25 07:18:05,903] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step8000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-25 07:18:05,903] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step8000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-25 07:18:05,903] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2022-11-25 07:18:05,903] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 2: [2022-11-25 07:18:05,903] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step8000 is ready now! 0: successfully saved checkpoint at iteration 8000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 6354.85 7: iteration 8010/ 44073 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 4.97 | learning rate: 1.870E-04 | global batch size: 512 | lm loss: 2.230784E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 103.113 | TFLOPs: 48.06 | 7: iteration 8020/ 44073 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 4.25 | learning rate: 1.869E-04 | global batch size: 512 | lm loss: 2.241724E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.534 | TFLOPs: 56.18 | 7: iteration 8030/ 44073 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 4.21 | learning rate: 1.869E-04 | global batch size: 512 | lm loss: 2.234612E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.688 | TFLOPs: 56.71 | 7: iteration 8040/ 44073 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 4.22 | learning rate: 1.869E-04 | global batch size: 512 | lm loss: 2.230355E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.406 | TFLOPs: 56.58 | 7: iteration 8050/ 44073 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 4.19 | learning rate: 1.868E-04 | global batch size: 512 | lm loss: 2.221357E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.106 | TFLOPs: 56.91 | 7: iteration 8060/ 44073 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 4.22 | learning rate: 1.868E-04 | global batch size: 512 | lm loss: 2.248316E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.314 | TFLOPs: 56.54 | 7: iteration 8070/ 44073 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 4.23 | learning rate: 1.868E-04 | global batch size: 512 | lm loss: 2.212086E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.055 | TFLOPs: 56.42 | 7: iteration 8080/ 44073 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 4.19 | learning rate: 1.867E-04 | global batch size: 512 | lm loss: 2.233186E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.328 | TFLOPs: 57.01 | 7: iteration 8090/ 44073 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 4.22 | learning rate: 1.867E-04 | global batch size: 512 | lm loss: 2.230306E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.441 | TFLOPs: 56.60 | 7: iteration 8100/ 44073 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 4.21 | learning rate: 1.867E-04 | global batch size: 512 | lm loss: 2.215515E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.608 | TFLOPs: 56.68 | 7: iteration 8110/ 44073 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 4.19 | learning rate: 1.866E-04 | global batch size: 512 | lm loss: 2.215153E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.140 | TFLOPs: 56.92 | 7: iteration 8120/ 44073 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 4.19 | learning rate: 1.866E-04 | global batch size: 512 | lm loss: 2.217051E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.094 | TFLOPs: 56.90 | 7: iteration 8130/ 44073 | consumed samples: 4162560 | consumed tokens: 8524922880 | elapsed time per iteration (s): 4.20 | learning rate: 1.866E-04 | global batch size: 512 | lm loss: 2.226003E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.767 | TFLOPs: 56.75 | 7: iteration 8140/ 44073 | consumed samples: 4167680 | consumed tokens: 8535408640 | elapsed time per iteration (s): 4.20 | learning rate: 1.865E-04 | global batch size: 512 | lm loss: 2.213006E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.995 | TFLOPs: 56.86 | 7: iteration 8150/ 44073 | consumed samples: 4172800 | consumed tokens: 8545894400 | elapsed time per iteration (s): 4.25 | learning rate: 1.865E-04 | global batch size: 512 | lm loss: 2.223813E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.488 | TFLOPs: 56.15 | 7: iteration 8160/ 44073 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 4.21 | learning rate: 1.865E-04 | global batch size: 512 | lm loss: 2.240485E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.759 | TFLOPs: 56.75 | 7: iteration 8170/ 44073 | consumed samples: 4183040 | consumed tokens: 8566865920 | elapsed time per iteration (s): 4.20 | learning rate: 1.864E-04 | global batch size: 512 | lm loss: 2.222572E+00 | grad norm: 0.151 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.947 | TFLOPs: 56.83 | 7: iteration 8180/ 44073 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 4.18 | learning rate: 1.864E-04 | global batch size: 512 | lm loss: 2.227790E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.399 | TFLOPs: 57.04 | 7: iteration 8190/ 44073 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 4.22 | learning rate: 1.864E-04 | global batch size: 512 | lm loss: 2.243182E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.350 | TFLOPs: 56.56 | 7: iteration 8200/ 44073 | consumed samples: 4198400 | consumed tokens: 8598323200 | elapsed time per iteration (s): 4.17 | learning rate: 1.863E-04 | global batch size: 512 | lm loss: 2.233438E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.726 | TFLOPs: 57.20 | 7: iteration 8210/ 44073 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 4.19 | learning rate: 1.863E-04 | global batch size: 512 | lm loss: 2.217681E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.142 | TFLOPs: 56.92 | 7: iteration 8220/ 44073 | consumed samples: 4208640 | consumed 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consumed samples: 4224000 | consumed tokens: 8650752000 | elapsed time per iteration (s): 4.18 | learning rate: 1.861E-04 | global batch size: 512 | lm loss: 2.223680E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.613 | TFLOPs: 57.14 | 7: iteration 8260/ 44073 | consumed samples: 4229120 | consumed tokens: 8661237760 | elapsed time per iteration (s): 4.19 | learning rate: 1.861E-04 | global batch size: 512 | lm loss: 2.227982E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.279 | TFLOPs: 56.99 | 7: iteration 8270/ 44073 | consumed samples: 4234240 | consumed tokens: 8671723520 | elapsed time per iteration (s): 4.20 | learning rate: 1.861E-04 | global batch size: 512 | lm loss: 2.224430E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.790 | TFLOPs: 56.76 | 7: iteration 8280/ 44073 | consumed samples: 4239360 | consumed tokens: 8682209280 | elapsed time per iteration (s): 4.21 | learning rate: 1.860E-04 | global batch size: 512 | lm loss: 2.218825E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.703 | TFLOPs: 56.72 | 7: iteration 8290/ 44073 | consumed samples: 4244480 | consumed tokens: 8692695040 | elapsed time per iteration (s): 4.22 | learning rate: 1.860E-04 | global batch size: 512 | lm loss: 2.221619E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.437 | TFLOPs: 56.60 | 7: iteration 8300/ 44073 | consumed samples: 4249600 | consumed tokens: 8703180800 | elapsed time per iteration (s): 4.27 | learning rate: 1.860E-04 | global batch size: 512 | lm loss: 2.214886E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.037 | TFLOPs: 55.94 | 7: iteration 8310/ 44073 | consumed samples: 4254720 | consumed tokens: 8713666560 | elapsed time per iteration (s): 4.25 | learning rate: 1.859E-04 | global batch size: 512 | lm loss: 2.233981E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.334 | TFLOPs: 56.08 | 7: iteration 8320/ 44073 | consumed samples: 4259840 | consumed tokens: 8724152320 | elapsed time per iteration (s): 4.37 | learning rate: 1.859E-04 | global batch size: 512 | lm loss: 2.223455E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 117.137 | TFLOPs: 54.59 | 7: iteration 8330/ 44073 | consumed samples: 4264960 | consumed tokens: 8734638080 | elapsed time per iteration (s): 4.27 | learning rate: 1.859E-04 | global batch size: 512 | lm loss: 2.212235E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.956 | TFLOPs: 55.91 | 7: iteration 8340/ 44073 | consumed samples: 4270080 | consumed tokens: 8745123840 | elapsed time per iteration (s): 4.25 | learning rate: 1.858E-04 | global batch size: 512 | lm loss: 2.213644E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.487 | TFLOPs: 56.15 | 7: iteration 8350/ 44073 | consumed samples: 4275200 | consumed tokens: 8755609600 | elapsed time per iteration (s): 4.20 | learning rate: 1.858E-04 | global batch size: 512 | lm loss: 2.213015E+00 | grad norm: 0.147 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.926 | TFLOPs: 56.82 | 7: iteration 8360/ 44073 | consumed samples: 4280320 | consumed tokens: 8766095360 | elapsed time per iteration (s): 4.22 | learning rate: 1.858E-04 | global batch size: 512 | lm loss: 2.198634E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.443 | TFLOPs: 56.60 | 7: iteration 8370/ 44073 | consumed samples: 4285440 | consumed tokens: 8776581120 | elapsed time per iteration (s): 4.23 | learning rate: 1.857E-04 | global batch size: 512 | lm loss: 2.235921E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.121 | TFLOPs: 56.45 | 7: iteration 8380/ 44073 | consumed samples: 4290560 | consumed tokens: 8787066880 | elapsed time per iteration (s): 4.20 | learning rate: 1.857E-04 | global batch size: 512 | lm loss: 2.225637E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.997 | TFLOPs: 56.86 | 7: iteration 8390/ 44073 | consumed samples: 4295680 | consumed tokens: 8797552640 | elapsed time per iteration (s): 4.21 | learning rate: 1.857E-04 | global batch size: 512 | lm loss: 2.209099E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.525 | TFLOPs: 56.64 | 7: iteration 8400/ 44073 | consumed samples: 4300800 | consumed tokens: 8808038400 | elapsed time per iteration (s): 4.17 | learning rate: 1.856E-04 | global batch size: 512 | lm loss: 2.206378E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.879 | TFLOPs: 57.27 | 7: iteration 8410/ 44073 | consumed samples: 4305920 | consumed tokens: 8818524160 | elapsed time per iteration (s): 4.26 | learning rate: 1.856E-04 | global batch size: 512 | lm loss: 2.193692E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.098 | TFLOPs: 55.97 | 7: iteration 8420/ 44073 | consumed samples: 4311040 | consumed tokens: 8829009920 | elapsed time per iteration (s): 4.21 | learning rate: 1.856E-04 | global batch size: 512 | lm loss: 2.203775E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.527 | TFLOPs: 56.64 | 7: iteration 8430/ 44073 | consumed samples: 4316160 | consumed tokens: 8839495680 | elapsed time per iteration (s): 4.21 | learning rate: 1.855E-04 | global batch size: 512 | lm loss: 2.217937E+00 | grad norm: 0.148 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.678 | TFLOPs: 56.71 | 7: iteration 8440/ 44073 | consumed samples: 4321280 | consumed tokens: 8849981440 | elapsed time per iteration (s): 4.21 | learning rate: 1.855E-04 | global batch size: 512 | lm loss: 2.211386E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.725 | TFLOPs: 56.73 | 7: iteration 8450/ 44073 | consumed samples: 4326400 | consumed tokens: 8860467200 | elapsed time per iteration (s): 4.21 | learning rate: 1.854E-04 | global batch size: 512 | lm loss: 2.214196E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.474 | TFLOPs: 56.61 | 7: iteration 8460/ 44073 | consumed samples: 4331520 | consumed tokens: 8870952960 | elapsed time per iteration (s): 4.24 | learning rate: 1.854E-04 | global batch size: 512 | lm loss: 2.193367E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.851 | TFLOPs: 56.32 | 7: iteration 8470/ 44073 | consumed samples: 4336640 | consumed tokens: 8881438720 | elapsed time per iteration (s): 4.19 | learning rate: 1.854E-04 | global batch size: 512 | lm loss: 2.204577E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.194 | TFLOPs: 56.95 | 7: iteration 8480/ 44073 | consumed samples: 4341760 | consumed tokens: 8891924480 | elapsed time per iteration (s): 4.19 | learning rate: 1.853E-04 | global batch size: 512 | lm loss: 2.200780E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.098 | TFLOPs: 56.90 | 7: iteration 8490/ 44073 | consumed samples: 4346880 | consumed tokens: 8902410240 | elapsed time per iteration (s): 4.22 | learning rate: 1.853E-04 | global batch size: 512 | lm loss: 2.223531E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.262 | TFLOPs: 56.51 | 7: iteration 8500/ 44073 | consumed samples: 4352000 | consumed tokens: 8912896000 | elapsed time per iteration (s): 4.23 | learning rate: 1.853E-04 | global batch size: 512 | lm loss: 2.226193E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.914 | TFLOPs: 56.35 | 7: iteration 8510/ 44073 | consumed samples: 4357120 | consumed tokens: 8923381760 | elapsed time per iteration (s): 4.23 | learning rate: 1.852E-04 | global batch size: 512 | lm loss: 2.225795E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.937 | TFLOPs: 56.36 | 7: iteration 8520/ 44073 | consumed samples: 4362240 | consumed tokens: 8933867520 | elapsed time per iteration (s): 4.24 | learning rate: 1.852E-04 | global batch size: 512 | lm loss: 2.227660E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.896 | TFLOPs: 56.34 | 7: iteration 8530/ 44073 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 4.19 | learning rate: 1.852E-04 | global batch size: 512 | lm loss: 2.198475E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.246 | TFLOPs: 56.97 | 7: iteration 8540/ 44073 | consumed samples: 4372480 | consumed tokens: 8954839040 | elapsed time per iteration (s): 4.18 | learning rate: 1.851E-04 | global batch size: 512 | lm loss: 2.216864E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.366 | TFLOPs: 57.03 | 7: iteration 8550/ 44073 | consumed samples: 4377600 | consumed tokens: 8965324800 | elapsed time per iteration (s): 4.21 | learning rate: 1.851E-04 | global batch size: 512 | lm loss: 2.212999E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.722 | TFLOPs: 56.73 | 7: iteration 8560/ 44073 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 4.20 | learning rate: 1.851E-04 | global batch size: 512 | lm loss: 2.223025E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.922 | TFLOPs: 56.82 | 7: iteration 8570/ 44073 | consumed samples: 4387840 | consumed tokens: 8986296320 | elapsed time per iteration (s): 4.21 | learning rate: 1.850E-04 | global batch size: 512 | lm loss: 2.200977E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.654 | TFLOPs: 56.70 | 7: iteration 8580/ 44073 | consumed samples: 4392960 | consumed tokens: 8996782080 | elapsed time per iteration (s): 4.23 | learning rate: 1.850E-04 | global batch size: 512 | lm loss: 2.207185E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.075 | TFLOPs: 56.43 | 7: iteration 8590/ 44073 | consumed samples: 4398080 | consumed tokens: 9007267840 | elapsed time per iteration (s): 4.25 | learning rate: 1.849E-04 | global batch size: 512 | lm loss: 2.214944E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.347 | TFLOPs: 56.09 | 7: iteration 8600/ 44073 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 4.22 | learning rate: 1.849E-04 | global batch size: 512 | lm loss: 2.200404E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.279 | TFLOPs: 56.52 | 7: iteration 8610/ 44073 | consumed samples: 4408320 | consumed tokens: 9028239360 | elapsed time per iteration (s): 4.21 | learning rate: 1.849E-04 | global batch size: 512 | lm loss: 2.189494E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.573 | TFLOPs: 56.66 | 7: iteration 8620/ 44073 | consumed samples: 4413440 | consumed tokens: 9038725120 | elapsed time per iteration (s): 4.22 | learning rate: 1.848E-04 | global batch size: 512 | lm loss: 2.231256E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.205 | TFLOPs: 56.49 | 7: iteration 8630/ 44073 | consumed samples: 4418560 | consumed tokens: 9049210880 | elapsed time per iteration (s): 4.20 | learning rate: 1.848E-04 | global batch size: 512 | lm loss: 2.205177E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.923 | TFLOPs: 56.82 | 7: iteration 8640/ 44073 | consumed samples: 4423680 | consumed tokens: 9059696640 | elapsed time per iteration (s): 4.22 | learning rate: 1.848E-04 | global batch size: 512 | lm loss: 2.221767E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.246 | TFLOPs: 56.51 | 7: iteration 8650/ 44073 | consumed samples: 4428800 | consumed tokens: 9070182400 | elapsed time per iteration (s): 4.19 | learning rate: 1.847E-04 | global batch size: 512 | lm loss: 2.218979E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.051 | TFLOPs: 56.88 | 7: iteration 8660/ 44073 | consumed samples: 4433920 | consumed tokens: 9080668160 | elapsed time per iteration (s): 4.24 | learning rate: 1.847E-04 | global batch size: 512 | lm loss: 2.194951E+00 | grad norm: 0.126 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.787 | TFLOPs: 56.29 | 7: iteration 8670/ 44073 | consumed samples: 4439040 | consumed tokens: 9091153920 | elapsed time per iteration (s): 4.22 | learning rate: 1.847E-04 | global batch size: 512 | lm loss: 2.209589E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.418 | TFLOPs: 56.59 | 7: iteration 8680/ 44073 | consumed samples: 4444160 | consumed tokens: 9101639680 | elapsed time per iteration (s): 4.21 | learning rate: 1.846E-04 | global batch size: 512 | lm loss: 2.186078E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.709 | TFLOPs: 56.72 | 7: iteration 8690/ 44073 | consumed samples: 4449280 | consumed tokens: 9112125440 | elapsed time per iteration (s): 4.25 | learning rate: 1.846E-04 | global batch size: 512 | lm loss: 2.202589E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.342 | TFLOPs: 56.09 | 7: iteration 8700/ 44073 | consumed samples: 4454400 | consumed tokens: 9122611200 | elapsed time per iteration (s): 4.23 | learning rate: 1.845E-04 | global batch size: 512 | lm loss: 2.227609E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.927 | TFLOPs: 56.36 | 7: iteration 8710/ 44073 | consumed samples: 4459520 | consumed tokens: 9133096960 | elapsed time per iteration (s): 4.19 | learning rate: 1.845E-04 | global batch size: 512 | lm loss: 2.206580E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.191 | TFLOPs: 56.95 | 7: iteration 8720/ 44073 | consumed samples: 4464640 | consumed tokens: 9143582720 | elapsed time per iteration (s): 4.19 | learning rate: 1.845E-04 | global batch size: 512 | lm loss: 2.209246E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.118 | TFLOPs: 56.91 | 7: iteration 8730/ 44073 | consumed samples: 4469760 | consumed tokens: 9154068480 | elapsed time per iteration (s): 4.20 | learning rate: 1.844E-04 | global batch size: 512 | lm loss: 2.221895E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.866 | TFLOPs: 56.80 | 7: iteration 8740/ 44073 | 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iteration 9000/ 44073 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 4.17 | learning rate: 1.834E-04 | global batch size: 512 | lm loss: 2.223321E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.844 | TFLOPs: 57.25 | 7: ------------------------------------------------------------------------------------------ 7: valid loss at iteration 9000 | lm loss value: 2.148338E+00 | lm loss PPL: 8.570603E+00 | 7: ------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 9000 to checkpoints_2b2 0: [2022-11-25 08:28:23,601] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step9000 is begin to save! 0: [2022-11-25 08:28:23,696] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step9000/layer_01-model_00-model_states.pt... 0: [2022-11-25 08:28:24,176] [INFO] 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2: [2022-11-25 08:28:29,593] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 08:28:29,593] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 08:28:29,593] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step9000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-25 08:28:29,594] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 08:28:29,594] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step9000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2022-11-25 08:28:29,593] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step9000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2022-11-25 08:28:29,593] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step9000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2022-11-25 08:28:29,594] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step9000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2022-11-25 08:28:29,594] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 08:28:29,594] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 08:28:29,594] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 08:28:29,594] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 2: [2022-11-25 08:28:29,594] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step9000 is ready now! 0: [2022-11-25 08:28:29,751] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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2.235447E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 102.512 | TFLOPs: 47.78 | 7: iteration 9020/ 44073 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 4.21 | learning rate: 1.834E-04 | global batch size: 512 | lm loss: 2.210008E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.567 | TFLOPs: 56.66 | 7: iteration 9030/ 44073 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 4.22 | learning rate: 1.833E-04 | global batch size: 512 | lm loss: 2.205765E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.388 | TFLOPs: 56.57 | 7: iteration 9040/ 44073 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 4.24 | learning rate: 1.833E-04 | global batch size: 512 | lm loss: 2.213201E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.864 | TFLOPs: 56.33 | 7: iteration 9050/ 44073 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 4.22 | learning rate: 1.833E-04 | global batch size: 512 | lm loss: 2.217011E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.393 | TFLOPs: 56.58 | 7: iteration 9060/ 44073 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 4.20 | learning rate: 1.832E-04 | global batch size: 512 | lm loss: 2.239248E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.930 | TFLOPs: 56.83 | 7: iteration 9070/ 44073 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 4.17 | learning rate: 1.832E-04 | global batch size: 512 | lm loss: 2.209889E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.647 | TFLOPs: 57.16 | 7: iteration 9080/ 44073 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 4.19 | learning rate: 1.831E-04 | global batch size: 512 | lm loss: 2.176333E+00 | grad norm: 0.153 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.336 | TFLOPs: 57.01 | 7: iteration 9090/ 44073 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 4.17 | learning rate: 1.831E-04 | global batch size: 512 | lm loss: 2.194670E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.723 | TFLOPs: 57.19 | 7: iteration 9100/ 44073 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 4.19 | learning rate: 1.831E-04 | global batch size: 512 | lm loss: 2.208800E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.138 | TFLOPs: 56.92 | 7: iteration 9110/ 44073 | consumed samples: 4664320 | consumed tokens: 9552527360 | elapsed time per iteration (s): 4.19 | learning rate: 1.830E-04 | global batch size: 512 | lm loss: 2.202028E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.309 | TFLOPs: 57.00 | 7: iteration 9120/ 44073 | consumed samples: 4669440 | consumed tokens: 9563013120 | elapsed time per iteration (s): 4.17 | learning rate: 1.830E-04 | global batch size: 512 | lm loss: 2.186416E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.688 | TFLOPs: 57.18 | 7: iteration 9130/ 44073 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 4.24 | learning rate: 1.830E-04 | global batch size: 512 | lm loss: 2.187679E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.813 | TFLOPs: 56.30 | 7: iteration 9140/ 44073 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 4.24 | learning rate: 1.829E-04 | global batch size: 512 | lm loss: 2.203920E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.820 | TFLOPs: 56.31 | 7: iteration 9150/ 44073 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 4.19 | learning rate: 1.829E-04 | global batch size: 512 | lm loss: 2.211957E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.188 | 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iterations: 0 | samples per second: 122.264 | TFLOPs: 56.98 | 7: iteration 9190/ 44073 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 4.17 | learning rate: 1.827E-04 | global batch size: 512 | lm loss: 2.220152E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.720 | TFLOPs: 57.19 | 7: iteration 9200/ 44073 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 4.17 | learning rate: 1.827E-04 | global batch size: 512 | lm loss: 2.208851E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.731 | TFLOPs: 57.20 | 7: iteration 9210/ 44073 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 4.17 | learning rate: 1.826E-04 | global batch size: 512 | lm loss: 2.185510E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.747 | TFLOPs: 57.21 | 7: iteration 9220/ 44073 | consumed samples: 4720640 | consumed tokens: 9667870720 | elapsed time per iteration (s): 4.18 | learning rate: 1.826E-04 | global batch size: 512 | lm loss: 2.219470E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.602 | TFLOPs: 57.14 | 7: iteration 9230/ 44073 | consumed samples: 4725760 | consumed tokens: 9678356480 | elapsed time per iteration (s): 4.19 | learning rate: 1.826E-04 | global batch size: 512 | lm loss: 2.178477E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.199 | TFLOPs: 56.95 | 7: iteration 9240/ 44073 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 4.22 | learning rate: 1.825E-04 | global batch size: 512 | lm loss: 2.185195E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.330 | TFLOPs: 56.55 | 7: iteration 9250/ 44073 | consumed samples: 4736000 | consumed tokens: 9699328000 | elapsed time per iteration (s): 4.43 | learning rate: 1.825E-04 | global batch size: 512 | lm loss: 2.200260E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.652 | TFLOPs: 53.90 | 7: iteration 9260/ 44073 | consumed samples: 4741120 | consumed tokens: 9709813760 | elapsed time per iteration (s): 4.22 | learning rate: 1.825E-04 | global batch size: 512 | lm loss: 2.180982E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.440 | TFLOPs: 56.60 | 7: iteration 9270/ 44073 | consumed samples: 4746240 | consumed tokens: 9720299520 | elapsed time per iteration (s): 4.20 | learning rate: 1.824E-04 | global batch size: 512 | lm loss: 2.204428E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.939 | TFLOPs: 56.83 | 7: iteration 9280/ 44073 | consumed samples: 4751360 | consumed tokens: 9730785280 | elapsed time per iteration (s): 4.20 | learning rate: 1.824E-04 | global batch size: 512 | lm loss: 2.210906E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.766 | TFLOPs: 56.75 | 7: iteration 9290/ 44073 | consumed samples: 4756480 | consumed tokens: 9741271040 | elapsed time per iteration (s): 4.20 | learning rate: 1.823E-04 | global batch size: 512 | lm loss: 2.190407E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.013 | TFLOPs: 56.86 | 7: iteration 9300/ 44073 | consumed samples: 4761600 | consumed tokens: 9751756800 | elapsed time per iteration (s): 4.18 | learning rate: 1.823E-04 | global batch size: 512 | lm loss: 2.187489E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.626 | TFLOPs: 57.15 | 7: iteration 9310/ 44073 | consumed samples: 4766720 | consumed tokens: 9762242560 | elapsed time per iteration (s): 4.24 | learning rate: 1.823E-04 | global batch size: 512 | lm loss: 2.200314E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.833 | TFLOPs: 56.31 | 7: iteration 9320/ 44073 | consumed samples: 4771840 | consumed tokens: 9772728320 | elapsed time per iteration (s): 4.21 | learning rate: 1.822E-04 | global batch size: 512 | lm loss: 2.201683E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.706 | TFLOPs: 56.72 | 7: iteration 9330/ 44073 | consumed samples: 4776960 | consumed tokens: 9783214080 | elapsed time per iteration (s): 4.20 | learning rate: 1.822E-04 | global batch size: 512 | lm loss: 2.206189E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.995 | TFLOPs: 56.86 | 7: iteration 9340/ 44073 | consumed samples: 4782080 | consumed tokens: 9793699840 | elapsed time per iteration (s): 4.24 | learning rate: 1.821E-04 | global batch size: 512 | lm loss: 2.206407E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.729 | TFLOPs: 56.27 | 7: iteration 9350/ 44073 | consumed samples: 4787200 | consumed tokens: 9804185600 | elapsed time per iteration (s): 4.20 | learning rate: 1.821E-04 | global batch size: 512 | lm loss: 2.195797E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.911 | TFLOPs: 56.82 | 7: iteration 9360/ 44073 | consumed samples: 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iteration 9390/ 44073 | consumed samples: 4807680 | consumed tokens: 9846128640 | elapsed time per iteration (s): 4.23 | learning rate: 1.820E-04 | global batch size: 512 | lm loss: 2.187222E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.001 | TFLOPs: 56.39 | 7: iteration 9400/ 44073 | consumed samples: 4812800 | consumed tokens: 9856614400 | elapsed time per iteration (s): 4.27 | learning rate: 1.819E-04 | global batch size: 512 | lm loss: 2.197231E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 119.990 | TFLOPs: 55.92 | 7: iteration 9410/ 44073 | consumed samples: 4817920 | consumed tokens: 9867100160 | elapsed time per iteration (s): 4.22 | learning rate: 1.819E-04 | global batch size: 512 | lm loss: 2.184396E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.199 | TFLOPs: 56.48 | 7: iteration 9420/ 44073 | consumed samples: 4823040 | consumed tokens: 9877585920 | elapsed time per iteration (s): 4.23 | learning rate: 1.818E-04 | global batch size: 512 | lm loss: 2.179099E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.093 | TFLOPs: 56.44 | 7: iteration 9430/ 44073 | consumed samples: 4828160 | consumed tokens: 9888071680 | elapsed time per iteration (s): 4.20 | learning rate: 1.818E-04 | global batch size: 512 | lm loss: 2.188447E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.816 | TFLOPs: 56.77 | 7: iteration 9440/ 44073 | consumed samples: 4833280 | consumed tokens: 9898557440 | elapsed time per iteration (s): 4.19 | learning rate: 1.818E-04 | global batch size: 512 | lm loss: 2.193665E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.214 | TFLOPs: 56.96 | 7: iteration 9450/ 44073 | consumed samples: 4838400 | consumed tokens: 9909043200 | elapsed time per iteration (s): 4.21 | learning rate: 1.817E-04 | global batch size: 512 | lm loss: 2.196838E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.589 | TFLOPs: 56.67 | 7: iteration 9460/ 44073 | consumed samples: 4843520 | consumed tokens: 9919528960 | elapsed time per iteration (s): 4.21 | learning rate: 1.817E-04 | global batch size: 512 | lm loss: 2.183683E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.524 | TFLOPs: 56.64 | 7: iteration 9470/ 44073 | consumed samples: 4848640 | consumed tokens: 9930014720 | elapsed time per iteration (s): 4.18 | learning rate: 1.816E-04 | global batch size: 512 | lm loss: 2.207518E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.351 | TFLOPs: 57.02 | 7: iteration 9480/ 44073 | consumed samples: 4853760 | consumed tokens: 9940500480 | elapsed time per iteration (s): 4.19 | learning rate: 1.816E-04 | global batch size: 512 | lm loss: 2.173876E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.144 | TFLOPs: 56.93 | 7: iteration 9490/ 44073 | consumed samples: 4858880 | consumed tokens: 9950986240 | elapsed time per iteration (s): 4.19 | learning rate: 1.816E-04 | global batch size: 512 | lm loss: 2.209200E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.260 | TFLOPs: 56.98 | 7: iteration 9500/ 44073 | consumed samples: 4864000 | consumed tokens: 9961472000 | elapsed time per iteration (s): 4.18 | learning rate: 1.815E-04 | global batch size: 512 | lm loss: 2.205359E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.345 | TFLOPs: 57.02 | 7: iteration 9510/ 44073 | consumed samples: 4869120 | consumed tokens: 9971957760 | elapsed time per iteration (s): 4.18 | learning rate: 1.815E-04 | global batch size: 512 | lm loss: 2.210431E+00 | grad norm: 0.143 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.422 | TFLOPs: 57.06 | 7: iteration 9520/ 44073 | consumed samples: 4874240 | consumed tokens: 9982443520 | elapsed time per iteration (s): 4.23 | learning rate: 1.814E-04 | global batch size: 512 | lm loss: 2.192919E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.025 | TFLOPs: 56.40 | 7: iteration 9530/ 44073 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 4.20 | learning rate: 1.814E-04 | global batch size: 512 | lm loss: 2.179896E+00 | grad norm: 0.152 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.782 | TFLOPs: 56.76 | 7: iteration 9540/ 44073 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 4.21 | learning rate: 1.814E-04 | global batch size: 512 | lm loss: 2.182400E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.675 | TFLOPs: 56.71 | 7: iteration 9550/ 44073 | consumed samples: 4889600 | consumed tokens: 10013900800 | elapsed time per iteration (s): 4.19 | learning rate: 1.813E-04 | global batch size: 512 | lm loss: 2.216429E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.312 | TFLOPs: 57.00 | 7: iteration 9560/ 44073 | consumed samples: 4894720 | consumed tokens: 10024386560 | elapsed time 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consumed tokens: 10055843840 | elapsed time per iteration (s): 4.19 | learning rate: 1.812E-04 | global batch size: 512 | lm loss: 2.186598E+00 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.111 | TFLOPs: 56.91 | 7: iteration 9600/ 44073 | consumed samples: 4915200 | consumed tokens: 10066329600 | elapsed time per iteration (s): 4.16 | learning rate: 1.811E-04 | global batch size: 512 | lm loss: 2.195447E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.040 | TFLOPs: 57.34 | 7: iteration 9610/ 44073 | consumed samples: 4920320 | consumed tokens: 10076815360 | elapsed time per iteration (s): 4.19 | learning rate: 1.811E-04 | global batch size: 512 | lm loss: 2.188310E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.063 | TFLOPs: 56.89 | 7: iteration 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second: 121.711 | TFLOPs: 56.72 | 7: iteration 9650/ 44073 | consumed samples: 4940800 | consumed tokens: 10118758400 | elapsed time per iteration (s): 4.22 | learning rate: 1.809E-04 | global batch size: 512 | lm loss: 2.190192E+00 | grad norm: 0.129 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.275 | TFLOPs: 56.52 | 7: iteration 9660/ 44073 | consumed samples: 4945920 | consumed tokens: 10129244160 | elapsed time per iteration (s): 4.16 | learning rate: 1.809E-04 | global batch size: 512 | lm loss: 2.172929E+00 | grad norm: 0.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.130 | TFLOPs: 57.39 | 7: iteration 9670/ 44073 | consumed samples: 4951040 | consumed tokens: 10139729920 | elapsed time per iteration (s): 4.19 | learning rate: 1.808E-04 | global batch size: 512 | lm loss: 2.177066E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.081 | TFLOPs: 56.90 | 7: iteration 9680/ 44073 | consumed samples: 4956160 | consumed tokens: 10150215680 | elapsed time per iteration (s): 4.19 | learning rate: 1.808E-04 | global batch size: 512 | lm loss: 2.178164E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.141 | TFLOPs: 56.92 | 7: iteration 9690/ 44073 | consumed samples: 4961280 | consumed tokens: 10160701440 | elapsed time per iteration (s): 4.20 | learning rate: 1.808E-04 | global batch size: 512 | lm loss: 2.170226E+00 | grad norm: 0.141 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.922 | TFLOPs: 56.82 | 7: iteration 9700/ 44073 | consumed samples: 4966400 | consumed tokens: 10171187200 | elapsed time per iteration (s): 4.18 | learning rate: 1.807E-04 | global batch size: 512 | lm loss: 2.187264E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.547 | TFLOPs: 57.11 | 7: iteration 9710/ 44073 | consumed samples: 4971520 | consumed tokens: 10181672960 | elapsed time per iteration (s): 4.46 | learning rate: 1.807E-04 | global batch size: 512 | lm loss: 2.191899E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 114.906 | TFLOPs: 53.55 | 7: iteration 9720/ 44073 | consumed samples: 4976640 | consumed tokens: 10192158720 | elapsed time per iteration (s): 4.17 | learning rate: 1.806E-04 | global batch size: 512 | lm loss: 2.196539E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.778 | TFLOPs: 57.22 | 7: iteration 9730/ 44073 | consumed samples: 4981760 | consumed tokens: 10202644480 | elapsed time per iteration (s): 4.17 | learning rate: 1.806E-04 | global batch size: 512 | lm loss: 2.189412E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.824 | TFLOPs: 57.24 | 7: iteration 9740/ 44073 | consumed samples: 4986880 | consumed tokens: 10213130240 | elapsed time per iteration (s): 4.18 | learning rate: 1.806E-04 | global batch size: 512 | lm loss: 2.165384E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.544 | TFLOPs: 57.11 | 7: iteration 9750/ 44073 | consumed samples: 4992000 | consumed tokens: 10223616000 | elapsed time per iteration (s): 4.18 | learning rate: 1.805E-04 | global batch size: 512 | lm loss: 2.179192E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.366 | TFLOPs: 57.03 | 7: iteration 9760/ 44073 | consumed samples: 4997120 | consumed tokens: 10234101760 | elapsed time per iteration (s): 4.21 | learning rate: 1.805E-04 | global batch size: 512 | lm loss: 2.196354E+00 | grad norm: 0.140 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.720 | TFLOPs: 56.73 | 7: iteration 9770/ 44073 | consumed samples: 5002240 | consumed tokens: 10244587520 | elapsed time per iteration (s): 4.21 | learning rate: 1.804E-04 | global batch size: 512 | lm loss: 2.177301E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.556 | TFLOPs: 56.65 | 7: iteration 9780/ 44073 | consumed samples: 5007360 | consumed tokens: 10255073280 | elapsed time per iteration (s): 4.23 | learning rate: 1.804E-04 | global batch size: 512 | lm loss: 2.193588E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.067 | TFLOPs: 56.42 | 7: iteration 9790/ 44073 | consumed samples: 5012480 | consumed tokens: 10265559040 | elapsed time per iteration (s): 4.18 | learning rate: 1.804E-04 | global batch size: 512 | lm loss: 2.177109E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.424 | TFLOPs: 57.06 | 7: iteration 9800/ 44073 | consumed samples: 5017600 | consumed tokens: 10276044800 | elapsed time per iteration (s): 4.18 | learning rate: 1.803E-04 | global batch size: 512 | lm loss: 2.159750E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.397 | TFLOPs: 57.04 | 7: iteration 9810/ 44073 | consumed samples: 5022720 | consumed tokens: 10286530560 | elapsed time per iteration (s): 4.21 | learning rate: 1.803E-04 | global batch size: 512 | lm loss: 2.189910E+00 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.662 | TFLOPs: 56.70 | 7: iteration 9820/ 44073 | consumed samples: 5027840 | consumed tokens: 10297016320 | elapsed time per iteration (s): 4.19 | learning rate: 1.802E-04 | global batch size: 512 | lm loss: 2.197772E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.289 | TFLOPs: 56.99 | 7: iteration 9830/ 44073 | consumed samples: 5032960 | consumed tokens: 10307502080 | elapsed time per iteration (s): 4.18 | learning rate: 1.802E-04 | global batch size: 512 | lm loss: 2.169127E+00 | grad norm: 0.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.356 | TFLOPs: 57.02 | 7: iteration 9840/ 44073 | consumed samples: 5038080 | consumed tokens: 10317987840 | elapsed time per iteration (s): 4.19 | learning rate: 1.802E-04 | global batch size: 512 | lm loss: 2.165165E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.131 | TFLOPs: 56.92 | 7: iteration 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second: 122.130 | TFLOPs: 56.92 | 7: iteration 9880/ 44073 | consumed samples: 5058560 | consumed tokens: 10359930880 | elapsed time per iteration (s): 4.23 | learning rate: 1.800E-04 | global batch size: 512 | lm loss: 2.176783E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.898 | TFLOPs: 56.34 | 7: iteration 9890/ 44073 | consumed samples: 5063680 | consumed tokens: 10370416640 | elapsed time per iteration (s): 4.19 | learning rate: 1.800E-04 | global batch size: 512 | lm loss: 2.184530E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.276 | TFLOPs: 56.99 | 7: iteration 9900/ 44073 | consumed samples: 5068800 | consumed tokens: 10380902400 | elapsed time per iteration (s): 4.21 | learning rate: 1.799E-04 | global batch size: 512 | lm loss: 2.166039E+00 | grad norm: 0.137 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.627 | TFLOPs: 56.68 | 7: iteration 9910/ 44073 | consumed samples: 5073920 | consumed tokens: 10391388160 | elapsed time per iteration (s): 4.22 | learning rate: 1.799E-04 | global batch size: 512 | lm loss: 2.182326E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.298 | TFLOPs: 56.53 | 7: iteration 9920/ 44073 | consumed samples: 5079040 | consumed tokens: 10401873920 | elapsed time per iteration (s): 4.16 | learning rate: 1.798E-04 | global batch size: 512 | lm loss: 2.156380E+00 | grad norm: 0.142 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.031 | TFLOPs: 57.34 | 7: iteration 9930/ 44073 | consumed samples: 5084160 | consumed tokens: 10412359680 | elapsed time per iteration (s): 4.18 | learning rate: 1.798E-04 | global batch size: 512 | lm loss: 2.193578E+00 | grad norm: 0.139 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.384 | TFLOPs: 57.04 | 7: iteration 9940/ 44073 | consumed samples: 5089280 | consumed tokens: 10422845440 | elapsed time per iteration (s): 4.45 | learning rate: 1.798E-04 | global batch size: 512 | lm loss: 2.187983E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.030 | TFLOPs: 53.61 | 7: iteration 9950/ 44073 | consumed samples: 5094400 | consumed tokens: 10433331200 | elapsed time per iteration (s): 4.19 | learning rate: 1.797E-04 | global batch size: 512 | lm loss: 2.178090E+00 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.053 | TFLOPs: 56.88 | 7: iteration 9960/ 44073 | consumed samples: 5099520 | consumed tokens: 10443816960 | elapsed time per iteration (s): 4.17 | learning rate: 1.797E-04 | global batch size: 512 | lm loss: 2.199185E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.635 | TFLOPs: 57.15 | 7: iteration 9970/ 44073 | consumed samples: 5104640 | consumed tokens: 10454302720 | elapsed time per iteration (s): 4.19 | learning rate: 1.796E-04 | global batch size: 512 | lm loss: 2.172753E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.210 | TFLOPs: 56.96 | 7: iteration 9980/ 44073 | consumed samples: 5109760 | consumed tokens: 10464788480 | elapsed time per iteration (s): 4.17 | learning rate: 1.796E-04 | global batch size: 512 | lm loss: 2.153878E+00 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.787 | TFLOPs: 57.23 | 7: iteration 9990/ 44073 | consumed samples: 5114880 | consumed tokens: 10475274240 | elapsed time per iteration (s): 4.22 | learning rate: 1.796E-04 | global batch size: 512 | lm loss: 2.192555E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.466 | TFLOPs: 56.61 | 0: [2022-11-25 09:38:35,923] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.0001795110044087738, 0.0001795110044087738, 0.0001795110044087738], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 10000/ 44073 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 4.20 | learning rate: 1.795E-04 | global batch size: 512 | lm loss: 2.198445E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.796 | TFLOPs: 56.76 | 0: steps: 10000 loss: 2.1802 iter time (s): 4.208 samples/sec: 121.663 7: ------------------------------------------------------------------------------------------- 7: valid loss at iteration 10000 | lm loss value: 2.113586E+00 | lm loss PPL: 8.277872E+00 | 7: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_2b2 0: [2022-11-25 09:38:37,321] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-25 09:38:37,393] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step10000/layer_01-model_00-model_states.pt... 0: [2022-11-25 09:38:37,894] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10000/layer_01-model_00-model_states.pt. 0: [2022-11-25 09:38:37,895] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_2b2/global_step10000/layer_03-model_00-model_states.pt... 0: [2022-11-25 09:38:38,039] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10000/layer_03-model_00-model_states.pt. 0: [2022-11-25 09:38:38,039] [INFO] 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bf16_zero checkpoint saved checkpoints_2b2/global_step10000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 6: [2022-11-25 09:38:42,689] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-25 09:38:42,690] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-25 09:38:42,690] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-25 09:38:42,690] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 2: [2022-11-25 09:38:42,753] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt. 2: [2022-11-25 09:38:42,753] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_2b2/global_step10000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2022-11-25 09:38:43,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2022-11-25 09:38:43,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 7: [2022-11-25 09:38:43,259] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2022-11-25 09:38:43,259] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_2b2 7: time (ms) | save-checkpoint: 5994.16 7: iteration 10010/ 44073 | consumed samples: 5125120 | consumed tokens: 10496245760 | elapsed time per iteration (s): 4.91 | learning rate: 1.795E-04 | global batch size: 512 | lm loss: 2.169788E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 104.181 | TFLOPs: 48.55 | 7: iteration 10020/ 44073 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 4.20 | learning rate: 1.794E-04 | global batch size: 512 | lm loss: 2.185065E+00 | grad norm: 0.145 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.988 | TFLOPs: 56.85 | 7: iteration 10030/ 44073 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 4.26 | learning rate: 1.794E-04 | global batch size: 512 | lm loss: 2.173539E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.120 | TFLOPs: 55.98 | 7: iteration 10040/ 44073 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 4.24 | learning rate: 1.793E-04 | global batch size: 512 | lm loss: 2.156450E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 120.807 | TFLOPs: 56.30 | 7: iteration 10050/ 44073 | consumed samples: 5145600 | consumed tokens: 10538188800 | elapsed time per iteration (s): 4.17 | learning rate: 1.793E-04 | global batch size: 512 | lm loss: 2.165633E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.853 | TFLOPs: 57.26 | 7: iteration 10060/ 44073 | consumed samples: 5150720 | consumed tokens: 10548674560 | elapsed time per iteration (s): 4.18 | learning rate: 1.793E-04 | global batch size: 512 | lm loss: 2.157756E+00 | grad norm: 0.133 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.380 | TFLOPs: 57.04 | 7: iteration 10070/ 44073 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 4.21 | learning rate: 1.792E-04 | global batch size: 512 | lm loss: 2.171285E+00 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.691 | TFLOPs: 56.71 | 7: iteration 10080/ 44073 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 4.19 | learning rate: 1.792E-04 | global batch size: 512 | lm loss: 2.198796E+00 | grad norm: 0.132 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.298 | TFLOPs: 57.00 | 7: iteration 10090/ 44073 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 4.19 | learning rate: 1.791E-04 | global batch size: 512 | lm loss: 2.174205E+00 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.154 | TFLOPs: 56.93 | 7: iteration 10100/ 44073 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 4.19 | learning rate: 1.791E-04 | global batch size: 512 | lm loss: 2.179371E+00 | grad norm: 0.144 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.144 | TFLOPs: 56.93 | 7: iteration 10110/ 44073 | consumed samples: 5176320 | consumed tokens: 10601103360 | elapsed time per iteration (s): 4.17 | learning rate: 1.791E-04 | global batch size: 512 | lm loss: 2.143585E+00 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.917 | TFLOPs: 57.29 | 7: iteration 10120/ 44073 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 4.16 | learning rate: 1.790E-04 | global batch size: 512 | lm loss: 2.170880E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 123.038 | TFLOPs: 57.34 | 7: iteration 10130/ 44073 | consumed samples: 5186560 | consumed tokens: 10622074880 | elapsed time per iteration (s): 4.20 | learning rate: 1.790E-04 | global batch size: 512 | lm loss: 2.162410E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.002 | TFLOPs: 56.86 | 7: iteration 10140/ 44073 | consumed samples: 5191680 | consumed tokens: 10632560640 | elapsed time per iteration (s): 4.21 | learning rate: 1.789E-04 | global batch size: 512 | lm loss: 2.173647E+00 | grad norm: 0.136 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 121.755 | TFLOPs: 56.74 | 7: iteration 10150/ 44073 | consumed samples: 5196800 | consumed tokens: 10643046400 | elapsed time per iteration (s): 4.17 | learning rate: 1.789E-04 | global batch size: 512 | lm loss: 2.182557E+00 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.744 | TFLOPs: 57.20 | 7: iteration 10160/ 44073 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 4.19 | learning rate: 1.788E-04 | global batch size: 512 | lm loss: 2.166875E+00 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 122.271 | TFLOPs: 56.98 | 7: iteration 10170/ 44073 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 4.43 | learning rate: 1.788E-04 | global batch size: 512 | lm loss: 2.177599E+00 | grad norm: 0.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 115.571 | TFLOPs: 53.86 | 0: saving checkpoint at iteration 10176 to checkpoints_2b2 0: [2022-11-25 09:51:05,540] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10176 is begin to save! 0: [2022-11-25 09:51:05,544] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_2b2/global_step10176/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt. 1: [2022-11-25 09:51:10,537] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt. 1: [2022-11-25 09:51:10,537] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2022-11-25 09:51:10,537] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_13_mp_rank_00_optim_states.pt 1: [2022-11-25 09:51:10,537] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_11_mp_rank_00_optim_states.pt 6: [2022-11-25 09:51:10,537] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 1: [2022-11-25 09:51:10,537] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 1: [2022-11-25 09:51:10,537] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 1: [2022-11-25 09:51:10,537] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 6: [2022-11-25 09:51:10,537] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-25 09:51:10,537] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 3: [2022-11-25 09:51:10,545] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 3: [2022-11-25 09:51:10,545] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2022-11-25 09:51:10,545] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 3: [2022-11-25 09:51:10,551] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2022-11-25 09:51:10,551] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2022-11-25 09:51:10,551] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 1: [2022-11-25 09:51:10,567] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_12_mp_rank_00_optim_states.pt. 1: [2022-11-25 09:51:10,567] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 0: [2022-11-25 09:51:10,792] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_2b2/global_step10176/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2022-11-25 09:51:10,792] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10176 is ready now! 0: successfully saved checkpoint at iteration 10176 to checkpoints_2b2 7: time (ms) | save-checkpoint: 5477.85 0: [Detected kill switch at kill-switch-2b2. Exiting] datetime: 2022-11-25 09:51:11 END 2068551: Fri Nov 25 09:51:20 EET 2022