Model parameters: d_model 768 ffw_size 3072 kv_size 64 n_heads 12 n_layers 15 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 15 --hidden-size 768 --num-attention-heads 12 --kv-channels 64 --ffn-hidden-size 3072 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 4 --global-batch-size 256 --train-samples 740_269 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --loss-scale 12 --clip-grad 1.0 --kill-switch-path kill-switch-146m1b5100mdedup --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 740_269 --lr-warmup-samples 7403 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 1000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_146m1b5100mdedup --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_146m1b5100mdedup --load checkpoints_146m1b5100mdedup --train-weighted-split-paths-path train100mdedup.txt --valid-weighted-split-paths-path val.txt --data-impl mmap --deepspeed --deepspeed_config ds_configs/3328798.json --zero-stage 0 START 3328798: Fri 17 Mar 2023 10:51:19 AM EET 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 47.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 43.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 48.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 45.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 43.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 50.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 46.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 49.0c 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 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 44.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 47.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 39.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 52.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 44.0c 80.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 49.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 40.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 48.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 38.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 41.0c 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 43.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 44.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 1: Launching on nid006718 (1/8), master nid006717 port 9999, GPUs 8, CUDA: True 5: Launching on nid006722 (5/8), master nid006717 port 9999, GPUs 8, CUDA: True 2: Launching on nid006719 (2/8), master nid006717 port 9999, GPUs 8, CUDA: True 4: Launching on nid006721 (4/8), master nid006717 port 9999, GPUs 8, CUDA: True 6: Launching on nid006723 (6/8), master nid006717 port 9999, GPUs 8, CUDA: True 0: Launching on nid006717 (0/8), master nid006717 port 9999, GPUs 8, CUDA: True 3: Launching on nid006720 (3/8), master nid006717 port 9999, GPUs 8, CUDA: True 7: Launching on nid006724 (7/8), master nid006717 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 ....................................... None 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/3328798.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 1000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 3072 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 768 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-146m1b5100mdedup 0: kv_channels ..................................... 64 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_146m1b5100mdedup 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 ...................................... 12.0 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 740269 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 7403 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 4 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 12 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 15 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: reset_progress .................................. None 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_146m1b5100mdedup 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 ........................................... None 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_146m1b5100mdedup 0: tensorboard_log_interval ........................ 1 0: tensorboard_queue_size .......................... 5 0: test_weighted_split_paths ....................... None 0: test_weighted_split_paths_path .................. 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 ................................... 740269 0: train_tokens .................................... None 0: train_weighted_split_names ...................... ['train'] 0: train_weighted_split_paths ...................... [['/scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document']] 0: train_weighted_split_paths_path ................. None 0: train_weighted_split_splits ..................... [['0:1']] 0: train_weighted_split_weights .................... [['1.0']] 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 ...................... ['validation'] 0: valid_weighted_split_paths ...................... [['/scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document']] 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... [['0:1']] 0: valid_weighted_split_weights .................... [['1.0']] 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 64 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2023-03-17 10:54:15,773] [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: 0.102 seconds 0: > compiling and loading fused kernels ... 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/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/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/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: 25.201 seconds 0: time to initialize megatron (seconds): 83.802 0: [after megatron is initialized] datetime: 2023-03-17 10:54:43 0: building GPT model ... 0: [2023-03-17 10:54:43,943] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2023-03-17 10:54:43,944] [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: [2023-03-17 10:54:43,944] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.46 GB, percent = 6.3% 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: [2023-03-17 10:54:45,926] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=22 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: undo 0: 19: MixedFusedLayerNorm 0: 20: EmbeddingPipe 0: 21: float16_to_fp32 0: loss: CrossEntropy 0: [2023-03-17 10:54:46,322] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2023-03-17 10:54:46,323] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.28 GB CA 0.29 GB Max_CA 0 GB 0: [2023-03-17 10:54:46,323] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.48 GB, percent = 6.3% 0: setting training iterations to 2891 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2023-03-17 10:54:46,324] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2023-03-17 10:54:58,352] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2023-03-17 10:54:58,353] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2023-03-17 10:54:58,353] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2023-03-17 10:54:58,357] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2023-03-17 10:54:58,357] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2023-03-17 10:54:58,470] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2023-03-17 10:54:58,471] [INFO] [utils.py:828:see_memory_usage] MA 0.28 GB Max_MA 0.29 GB CA 0.31 GB Max_CA 0 GB 0: [2023-03-17 10:54:58,471] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.16 GB, percent = 6.4% 2: ninja: no work to do. 0: ninja: no work to do. 2: Time to load utils op: 0.21559453010559082 seconds 2: Time to load utils op: 0.216048002243042 seconds 2: Time to load utils op: 0.2150733470916748 seconds 2: Time to load utils op: 0.215742826461792 secondsTime to load utils op: 0.21506977081298828 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to load utils op: 0.0014214515686035156 seconds 0: [2023-03-17 10:54:59,093] [INFO] [utils.py:827:see_memory_usage] after initializing group 0 0: [2023-03-17 10:54:59,094] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,094] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,201] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2023-03-17 10:54:59,201] [INFO] [utils.py:828:see_memory_usage] MA 0.62 GB Max_MA 0.62 GB CA 0.82 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,202] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,307] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2023-03-17 10:54:59,308] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,308] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,411] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2023-03-17 10:54:59,411] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,412] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,517] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2023-03-17 10:54:59,518] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,518] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,620] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2023-03-17 10:54:59,621] [INFO] [utils.py:828:see_memory_usage] MA 0.83 GB Max_MA 0.83 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,621] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,730] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2023-03-17 10:54:59,731] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,731] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,833] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2023-03-17 10:54:59,834] [INFO] [utils.py:828:see_memory_usage] MA 0.85 GB Max_MA 0.85 GB CA 1.13 GB Max_CA 1 GB 0: [2023-03-17 10:54:59,834] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.31 GB, percent = 6.4% 0: [2023-03-17 10:54:59,834] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2023-03-17 10:54:59,834] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2023-03-17 10:54:59,834] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2023-03-17 10:54:59,835] [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: [2023-03-17 10:54:59,835] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2023-03-17 10:54:59,835] [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: [2023-03-17 10:54:59,835] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2023-03-17 10:54:59,835] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2023-03-17 10:54:59,835] [INFO] [config.py:1011:print] amp_params ................... False 0: [2023-03-17 10:54:59,836] [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: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] comms_config ................. 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2023-03-17 10:54:59,836] [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: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] dump_state ................... False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2023-03-17 10:54:59,836] [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: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2023-03-17 10:54:59,836] [INFO] [config.py:1011:print] monitor_config ............... 0: [2023-03-17 10:54:59,837] [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: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] pld_params ................... False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 4 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] world_size ................... 64 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2023-03-17 10:54:59,837] [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: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2023-03-17 10:54:59,837] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2023-03-17 10:54:59,837] [INFO] [config.py:996:print_user_config] json = { 0: "train_micro_batch_size_per_gpu": 4, 0: "train_batch_size": 256, 0: "gradient_clipping": 1.0, 0: "zero_optimization": { 0: "stage": 0 0: }, 0: "bf16": { 0: "enabled": true 0: }, 0: "steps_per_print": 2.000000e+03, 0: "wall_clock_breakdown": false 0: } 0: Time to load utils op: 0.00042700767517089844 seconds 0: [2023-03-17 10:54:59,838] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=4 0: [2023-03-17 10:54:59,910] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=22 [0, 22) STAGE_PARAMS=146525952 (146.526M) TOTAL_PARAMS=146525952 (146.526M) UNIQUE_PARAMS=146525952 (146.526M) 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/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_146m1b5100mdedup 0: will not load any checkpoints and will start from random 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,918] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-17 10:54:59,919] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,919] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-17 10:54:59,919] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,919] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-17 10:54:59,919] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,919] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-17 10:54:59,919] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_146m1b5100mdedup/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: time (ms) | load-checkpoint: 7.40 0: estimated model parameters: 0.146525952 0: estimated model parameters without embeddings: 0.106319616 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2023-03-17 10:55:00 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 740269 0: validation: 768 0: test: 256 0: > building train, validation, and test datasets for GPT ... 0: > building dataset index ... 0: reading sizes... 0: reading pointers... 0: reading document index... 0: creating numpy buffer of mmap... 0: creating memory view of numpy buffer... 0: > finished creating indexed dataset in 0.178369 seconds 0: number of documents: 409500 0: > dataset split: 0: train: 0: document indices in [0, 409500) total of 409500 documents 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > last epoch number of samples (16044) is smaller than 95.0% of number of samples per epoch (48281), setting separate_last_epoch to True 0: > elasped time to build and save doc-idx mapping (seconds): 0.301782 0: using: 0: number of documents: 409500 0: number of epochs: 16 0: sequence length: 2048 0: total number of samples: 772506 0: > elasped time to build and save sample-idx mapping (seconds): 0.076404 0: > building shuffle index with split [0, 724225) and [724225, 772506) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.018656 0: > loading doc-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document_train_indexmap_740269ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document_train_indexmap_740269ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_dedup_100M_text_document_train_indexmap_740269ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.007 seconds 0: total number of samples: 772507 0: total number of epochs: 16 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 0.054196 seconds 0: number of documents: 364608 0: > dataset split: 0: validation: 0: document indices in [0, 364608) total of 364608 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_768ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_768ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_768ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.070 seconds 0: total number of samples: 84978 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2023-03-17 10:55:15 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: 16864.61 | train/valid/test-data-iterators-setup: 14346.16 0: [000-000] 0.1465B / 0.1063B 0: [before the start of training step] datetime: 2023-03-17 10:55:15 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 2734.17236328125 | max allocated: 22586.583984375 | reserved: 23360.0 | max reserved: 23360.0 7: iteration 10/ 2891 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 1.39 | learning rate: 6.916E-05 | global batch size: 256 | lm loss: 1.017164E+01 | grad norm: 2.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 183.854 | TFLOPs: 6.44 | 7: iteration 20/ 2891 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.32 | learning rate: 1.383E-04 | global batch size: 256 | lm loss: 9.042226E+00 | grad norm: 1.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 809.174 | TFLOPs: 28.33 | 7: iteration 30/ 2891 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.32 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 8.034003E+00 | grad norm: 0.965 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 801.814 | TFLOPs: 28.07 | 7: iteration 40/ 2891 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.33 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.312589E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 782.953 | TFLOPs: 27.41 | 7: iteration 50/ 2891 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.033130E+00 | grad norm: 1.108 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.475 | TFLOPs: 29.60 | 7: iteration 60/ 2891 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.837294E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 816.321 | TFLOPs: 28.58 | 7: iteration 70/ 2891 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.31 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.706964E+00 | grad norm: 1.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 824.606 | TFLOPs: 28.87 | 7: iteration 80/ 2891 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.34 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.582127E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 762.256 | TFLOPs: 26.68 | 7: iteration 90/ 2891 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.31 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 6.493542E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.699 | TFLOPs: 29.01 | 7: iteration 100/ 2891 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.33 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 6.442642E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 778.846 | TFLOPs: 27.27 | 7: iteration 110/ 2891 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.32 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 6.377791E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 812.015 | TFLOPs: 28.43 | 7: iteration 120/ 2891 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.32 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 6.344860E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 804.958 | TFLOPs: 28.18 | 7: iteration 130/ 2891 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.32 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 6.307872E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.684 | TFLOPs: 28.03 | 7: iteration 140/ 2891 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.32 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 6.282028E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 810.218 | TFLOPs: 28.36 | 7: iteration 150/ 2891 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.32 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 6.234697E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 793.242 | TFLOPs: 27.77 | 7: iteration 160/ 2891 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.33 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 6.214098E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 783.889 | TFLOPs: 27.44 | 7: iteration 170/ 2891 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.31 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 6.176788E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.212 | TFLOPs: 28.82 | 7: iteration 180/ 2891 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.32 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 6.148957E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 790.981 | TFLOPs: 27.69 | 7: iteration 190/ 2891 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.31 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 6.127100E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.543 | TFLOPs: 29.29 | 7: iteration 200/ 2891 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.32 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 6.122998E+00 | grad norm: 0.582 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 792.286 | TFLOPs: 27.74 | 7: iteration 210/ 2891 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.31 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 6.082251E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 827.352 | TFLOPs: 28.96 | 7: iteration 220/ 2891 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.32 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 6.074975E+00 | grad norm: 0.537 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 800.394 | TFLOPs: 28.02 | 7: iteration 230/ 2891 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.31 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 6.052329E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.853 | TFLOPs: 29.02 | 7: iteration 240/ 2891 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.32 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 6.038397E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.429 | TFLOPs: 27.95 | 7: iteration 250/ 2891 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.31 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 6.014075E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 814.545 | TFLOPs: 28.51 | 7: iteration 260/ 2891 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.32 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 5.987263E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 795.695 | TFLOPs: 27.86 | 7: iteration 270/ 2891 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.31 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 5.995068E+00 | grad norm: 0.847 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 831.158 | TFLOPs: 29.10 | 7: iteration 280/ 2891 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.32 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 5.984718E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 798.287 | TFLOPs: 27.95 | 7: iteration 290/ 2891 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.31 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 5.936259E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 838.584 | TFLOPs: 29.36 | 7: iteration 300/ 2891 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.32 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 5.925126E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 811.315 | TFLOPs: 28.40 | 7: iteration 310/ 2891 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.31 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 5.903259E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.946 | TFLOPs: 29.19 | 7: iteration 320/ 2891 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.32 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 5.859985E+00 | grad norm: 0.639 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 794.017 | TFLOPs: 27.80 | 7: iteration 330/ 2891 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.33 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 5.835873E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 770.106 | TFLOPs: 26.96 | 7: iteration 340/ 2891 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.53 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 5.809143E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 482.194 | TFLOPs: 16.88 | 7: iteration 350/ 2891 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.55 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 5.780304E+00 | grad norm: 0.685 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 465.734 | TFLOPs: 16.30 | 7: iteration 360/ 2891 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.95 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 5.780769E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 268.441 | TFLOPs: 9.40 | 7: iteration 370/ 2891 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 1.05 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 5.742545E+00 | grad norm: 0.827 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 244.056 | TFLOPs: 8.54 | 7: iteration 380/ 2891 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.41 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 5.733364E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 629.485 | TFLOPs: 22.04 | 7: iteration 390/ 2891 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.30 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 5.698062E+00 | grad norm: 0.588 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 842.437 | TFLOPs: 29.49 | 7: iteration 400/ 2891 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.30 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 5.686994E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.113 | TFLOPs: 29.52 | 7: iteration 410/ 2891 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.31 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 5.669999E+00 | grad norm: 0.870 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 828.559 | TFLOPs: 29.01 | 7: iteration 420/ 2891 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.31 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 5.671700E+00 | grad norm: 0.617 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 835.247 | TFLOPs: 29.24 | 7: iteration 430/ 2891 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.30 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 5.627741E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.722 | TFLOPs: 29.96 | 7: iteration 440/ 2891 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.30 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 5.596624E+00 | grad norm: 0.551 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 848.752 | TFLOPs: 29.71 | 7: iteration 450/ 2891 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.31 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 5.580648E+00 | grad norm: 0.932 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.646 | TFLOPs: 29.29 | 7: iteration 460/ 2891 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.30 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 5.573721E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.469 | TFLOPs: 29.53 | 7: iteration 470/ 2891 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.31 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 5.525494E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 833.413 | TFLOPs: 29.18 | 7: iteration 480/ 2891 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.31 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 5.514925E+00 | grad norm: 0.598 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 836.906 | TFLOPs: 29.30 | 7: iteration 490/ 2891 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.30 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 5.494270E+00 | grad norm: 0.721 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.623 | TFLOPs: 29.81 | 7: iteration 500/ 2891 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.31 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 5.492039E+00 | grad norm: 1.025 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 823.385 | TFLOPs: 28.82 | 7: iteration 510/ 2891 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.30 | 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| grad norm: 0.604 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.578 | TFLOPs: 30.13 | 7: iteration 810/ 2891 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.30 | learning rate: 1.689E-04 | global batch size: 256 | lm loss: 5.003866E+00 | grad norm: 0.721 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.167 | TFLOPs: 29.80 | 7: iteration 820/ 2891 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.29 | learning rate: 1.682E-04 | global batch size: 256 | lm loss: 4.995956E+00 | grad norm: 0.543 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 868.387 | TFLOPs: 30.40 | 7: iteration 830/ 2891 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.30 | learning rate: 1.674E-04 | global batch size: 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elapsed time per iteration (s): 0.30 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 4.878679E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.752 | TFLOPs: 30.31 | 7: iteration 930/ 2891 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.30 | learning rate: 1.595E-04 | global batch size: 256 | lm loss: 4.866058E+00 | grad norm: 1.031 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.601 | TFLOPs: 30.30 | 7: iteration 940/ 2891 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.30 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 4.858542E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.613 | TFLOPs: 30.34 | 7: iteration 950/ 2891 | consumed samples: 243200 | 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consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.30 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 4.821345E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 865.108 | TFLOPs: 30.29 | 7: iteration 990/ 2891 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.30 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 4.808616E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.983 | TFLOPs: 30.04 | 7: iteration 1000/ 2891 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.30 | learning rate: 1.536E-04 | global batch size: 256 | lm loss: 4.802934E+00 | grad norm: 0.651 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.033 | TFLOPs: 30.32 | 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 1000 | lm loss value: 4.769129E+00 | lm loss PPL: 1.178166E+02 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 1000 to checkpoints_146m1b5100mdedup 0: [2023-03-17 11:00:51,705] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1000 is begin to save! 0: [2023-03-17 11:00:51,819] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m1b5100mdedup/global_step1000/layer_01-model_00-model_states.pt... 0: [2023-03-17 11:00:51,908] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step1000/layer_01-model_00-model_states.pt. 0: [2023-03-17 11:00:51,908] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m1b5100mdedup/global_step1000/layer_03-model_00-model_states.pt... 0: 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checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_18_mp_rank_00_optim_states.pt 2: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_21_mp_rank_00_optim_states.pt 2: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 5: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 5: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 11:00:52,218] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 11:00:52,218] 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5: [2023-03-17 11:00:52,218] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt 4: [2023-03-17 11:00:52,219] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2023-03-17 11:00:52,219] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2023-03-17 11:00:52,219] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1000 is ready now! 2: [2023-03-17 11:00:52,219] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step1000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:00:52,219] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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| num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.797 | TFLOPs: 30.34 | 7: iteration 1060/ 2891 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.30 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 4.739904E+00 | grad norm: 0.701 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.818 | TFLOPs: 30.24 | 7: iteration 1070/ 2891 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.30 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 4.729435E+00 | grad norm: 0.773 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 866.513 | TFLOPs: 30.33 | 7: iteration 1080/ 2891 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.30 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 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global batch size: 256 | lm loss: 4.698923E+00 | grad norm: 0.656 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.287 | TFLOPs: 29.94 | 7: iteration 1120/ 2891 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.30 | learning rate: 1.428E-04 | global batch size: 256 | lm loss: 4.698108E+00 | grad norm: 0.641 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.237 | TFLOPs: 30.18 | 7: iteration 1130/ 2891 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.30 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 4.684518E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.737 | TFLOPs: 30.27 | 7: iteration 1140/ 2891 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.30 | learning rate: 1.410E-04 | global batch size: 256 | lm loss: 4.668555E+00 | grad norm: 0.522 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.386 | TFLOPs: 30.26 | 7: iteration 1150/ 2891 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.30 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 4.669099E+00 | grad norm: 0.490 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 856.133 | TFLOPs: 29.97 | 7: iteration 1160/ 2891 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.30 | learning rate: 1.391E-04 | global batch size: 256 | lm loss: 4.660602E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 853.500 | TFLOPs: 29.88 | 7: iteration 1170/ 2891 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.30 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 4.656580E+00 | grad norm: 0.640 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.116 | TFLOPs: 30.22 | 7: iteration 1180/ 2891 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.30 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 4.646592E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.093 | TFLOPs: 30.21 | 7: iteration 1190/ 2891 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.30 | learning rate: 1.363E-04 | global batch size: 256 | lm loss: 4.639584E+00 | grad norm: 0.704 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.266 | TFLOPs: 30.22 | 7: iteration 1200/ 2891 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.30 | learning rate: 1.354E-04 | global batch size: 256 | lm loss: 4.640343E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.199 | TFLOPs: 30.18 | 7: iteration 1210/ 2891 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.30 | learning rate: 1.344E-04 | global batch size: 256 | lm loss: 4.623240E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.430 | TFLOPs: 30.19 | 7: iteration 1220/ 2891 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.30 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 4.622203E+00 | grad norm: 0.517 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.097 | TFLOPs: 30.21 | 7: iteration 1230/ 2891 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.30 | learning rate: 1.325E-04 | global batch size: 256 | lm loss: 4.622291E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 840.512 | TFLOPs: 29.42 | 7: iteration 1240/ 2891 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.30 | learning rate: 1.315E-04 | global batch size: 256 | lm loss: 4.615236E+00 | grad norm: 0.647 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.563 | TFLOPs: 30.23 | 7: iteration 1250/ 2891 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.30 | learning rate: 1.306E-04 | global batch size: 256 | lm loss: 4.600843E+00 | grad norm: 0.619 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.228 | TFLOPs: 30.08 | 7: iteration 1260/ 2891 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.30 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 4.608479E+00 | grad norm: 0.636 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.086 | TFLOPs: 30.21 | 7: iteration 1270/ 2891 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.30 | learning rate: 1.287E-04 | global batch size: 256 | lm loss: 4.597068E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.611 | TFLOPs: 30.20 | 7: iteration 1280/ 2891 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.30 | learning rate: 1.277E-04 | global batch size: 256 | lm loss: 4.591351E+00 | grad norm: 0.654 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.673 | TFLOPs: 30.13 | 7: iteration 1290/ 2891 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.30 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 4.583451E+00 | grad norm: 0.753 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.703 | TFLOPs: 30.20 | 7: iteration 1300/ 2891 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.30 | learning rate: 1.258E-04 | global batch size: 256 | lm loss: 4.573426E+00 | grad norm: 0.562 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.214 | TFLOPs: 30.18 | 7: iteration 1310/ 2891 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.30 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 4.576506E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.737 | TFLOPs: 29.96 | 7: iteration 1320/ 2891 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.30 | learning rate: 1.238E-04 | global batch size: 256 | lm loss: 4.566467E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.440 | TFLOPs: 30.19 | 7: iteration 1330/ 2891 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.30 | learning rate: 1.228E-04 | global batch size: 256 | lm loss: 4.568161E+00 | grad norm: 0.695 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.702 | TFLOPs: 30.17 | 7: iteration 1340/ 2891 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.30 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 4.562228E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.541 | TFLOPs: 30.20 | 7: iteration 1350/ 2891 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.30 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 4.554587E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.925 | TFLOPs: 30.17 | 7: iteration 1360/ 2891 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.30 | learning rate: 1.199E-04 | global batch size: 256 | lm loss: 4.549031E+00 | grad norm: 0.631 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.178 | TFLOPs: 30.18 | 7: iteration 1370/ 2891 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.30 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 4.536418E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.182 | TFLOPs: 30.18 | 7: iteration 1380/ 2891 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.30 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 4.540111E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 854.282 | TFLOPs: 29.91 | 7: iteration 1390/ 2891 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.30 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 4.542226E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.214 | TFLOPs: 30.22 | 7: iteration 1400/ 2891 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.30 | learning rate: 1.160E-04 | global batch size: 256 | lm loss: 4.525326E+00 | grad norm: 0.616 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.105 | TFLOPs: 30.21 | 7: iteration 1410/ 2891 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.30 | learning rate: 1.150E-04 | global batch size: 256 | lm loss: 4.532861E+00 | grad norm: 0.526 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.981 | TFLOPs: 30.21 | 7: iteration 1420/ 2891 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.30 | learning rate: 1.140E-04 | global batch size: 256 | lm loss: 4.524451E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.573 | TFLOPs: 30.20 | 7: iteration 1430/ 2891 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.30 | learning rate: 1.130E-04 | global batch size: 256 | lm loss: 4.525224E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.015 | TFLOPs: 30.07 | 7: iteration 1440/ 2891 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.30 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 4.519168E+00 | grad norm: 0.650 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.232 | TFLOPs: 30.18 | 7: iteration 1450/ 2891 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.30 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 4.505091E+00 | grad norm: 0.480 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.750 | TFLOPs: 30.17 | 7: iteration 1460/ 2891 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.30 | learning rate: 1.100E-04 | global batch size: 256 | lm loss: 4.514899E+00 | grad norm: 0.737 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.603 | TFLOPs: 30.16 | 7: iteration 1470/ 2891 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.30 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 4.506466E+00 | grad norm: 0.570 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.580 | TFLOPs: 30.16 | 7: iteration 1480/ 2891 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.30 | learning rate: 1.081E-04 | global batch size: 256 | lm loss: 4.496243E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.920 | TFLOPs: 30.21 | 7: iteration 1490/ 2891 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.30 | learning rate: 1.071E-04 | global batch size: 256 | lm loss: 4.491955E+00 | grad norm: 0.563 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.911 | TFLOPs: 30.17 | 7: iteration 1500/ 2891 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.30 | learning rate: 1.061E-04 | global batch size: 256 | lm loss: 4.487988E+00 | grad norm: 0.605 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.501 | TFLOPs: 30.23 | 7: iteration 1510/ 2891 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.30 | learning rate: 1.051E-04 | global batch size: 256 | lm loss: 4.481173E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.867 | TFLOPs: 30.17 | 7: iteration 1520/ 2891 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.30 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 4.480024E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.647 | TFLOPs: 30.20 | 7: iteration 1530/ 2891 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.30 | learning rate: 1.031E-04 | global batch size: 256 | lm loss: 4.475835E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.122 | TFLOPs: 30.22 | 7: iteration 1540/ 2891 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.30 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 4.477517E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.769 | TFLOPs: 30.10 | 7: iteration 1550/ 2891 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.30 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 4.474775E+00 | grad norm: 0.675 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.203 | TFLOPs: 30.22 | 7: iteration 1560/ 2891 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.30 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 4.465958E+00 | grad norm: 0.466 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.480 | TFLOPs: 30.19 | 7: iteration 1570/ 2891 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.30 | learning rate: 9.919E-05 | global batch size: 256 | lm loss: 4.466615E+00 | grad norm: 0.706 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.803 | TFLOPs: 30.20 | 7: iteration 1580/ 2891 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.30 | learning rate: 9.821E-05 | global batch size: 256 | lm loss: 4.464613E+00 | grad norm: 0.560 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.496 | TFLOPs: 30.19 | 7: iteration 1590/ 2891 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.30 | learning rate: 9.723E-05 | global batch size: 256 | lm loss: 4.458298E+00 | grad norm: 0.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.131 | TFLOPs: 30.18 | 7: iteration 1600/ 2891 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.30 | learning rate: 9.626E-05 | global batch size: 256 | lm loss: 4.460376E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.162 | TFLOPs: 30.18 | 7: iteration 1610/ 2891 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.30 | learning rate: 9.528E-05 | global batch size: 256 | lm loss: 4.446632E+00 | grad norm: 0.662 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.886 | TFLOPs: 30.17 | 7: iteration 1620/ 2891 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.30 | learning rate: 9.431E-05 | global batch size: 256 | lm loss: 4.442200E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.616 | TFLOPs: 30.20 | 7: iteration 1630/ 2891 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.30 | learning rate: 9.334E-05 | global batch size: 256 | lm loss: 4.446351E+00 | grad norm: 0.525 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.329 | TFLOPs: 30.22 | 7: iteration 1640/ 2891 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.30 | learning rate: 9.237E-05 | global batch size: 256 | lm loss: 4.449530E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.300 | TFLOPs: 30.19 | 7: iteration 1650/ 2891 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.30 | learning rate: 9.140E-05 | global batch size: 256 | lm loss: 4.443915E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.645 | TFLOPs: 30.23 | 7: iteration 1660/ 2891 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.30 | learning rate: 9.043E-05 | global batch size: 256 | lm loss: 4.439626E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.882 | TFLOPs: 30.24 | 7: iteration 1670/ 2891 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.35 | learning rate: 8.947E-05 | global batch size: 256 | lm loss: 4.432414E+00 | grad norm: 0.501 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 737.054 | TFLOPs: 25.80 | 7: iteration 1680/ 2891 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.30 | learning rate: 8.851E-05 | global batch size: 256 | lm loss: 4.429369E+00 | grad norm: 0.569 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.421 | TFLOPs: 30.05 | 7: iteration 1690/ 2891 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.30 | learning rate: 8.755E-05 | global batch size: 256 | lm loss: 4.424980E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.245 | TFLOPs: 30.25 | 7: iteration 1700/ 2891 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.30 | learning rate: 8.660E-05 | global batch size: 256 | lm loss: 4.422573E+00 | grad norm: 0.598 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.181 | TFLOPs: 30.25 | 7: iteration 1710/ 2891 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.30 | learning rate: 8.565E-05 | global batch size: 256 | lm loss: 4.427288E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.178 | TFLOPs: 30.25 | 7: iteration 1720/ 2891 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 0.30 | learning rate: 8.470E-05 | global batch size: 256 | lm loss: 4.415908E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.314 | TFLOPs: 30.22 | 7: iteration 1730/ 2891 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.30 | learning rate: 8.375E-05 | global batch size: 256 | lm loss: 4.416095E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.737 | TFLOPs: 30.24 | 7: iteration 1740/ 2891 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.30 | learning rate: 8.281E-05 | global batch size: 256 | lm loss: 4.412328E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.167 | TFLOPs: 30.25 | 7: iteration 1750/ 2891 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.30 | learning rate: 8.187E-05 | global batch size: 256 | lm loss: 4.413749E+00 | grad norm: 0.520 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.675 | TFLOPs: 30.23 | 7: iteration 1760/ 2891 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.30 | learning rate: 8.093E-05 | global batch size: 256 | lm loss: 4.408299E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.589 | TFLOPs: 30.20 | 7: iteration 1770/ 2891 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.30 | learning rate: 8.000E-05 | global batch size: 256 | lm loss: 4.405539E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.963 | TFLOPs: 30.21 | 7: iteration 1780/ 2891 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.30 | learning rate: 7.907E-05 | global batch size: 256 | lm loss: 4.405822E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.978 | TFLOPs: 30.18 | 7: iteration 1790/ 2891 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.30 | learning rate: 7.814E-05 | global batch size: 256 | lm loss: 4.403249E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 850.118 | TFLOPs: 29.76 | 7: iteration 1800/ 2891 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.30 | learning rate: 7.722E-05 | global batch size: 256 | lm loss: 4.399957E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.508 | TFLOPs: 30.19 | 7: iteration 1810/ 2891 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.30 | learning rate: 7.630E-05 | global batch size: 256 | lm loss: 4.398131E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.823 | TFLOPs: 30.21 | 7: iteration 1820/ 2891 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.30 | learning rate: 7.539E-05 | global batch size: 256 | lm loss: 4.395802E+00 | grad norm: 0.529 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.687 | TFLOPs: 30.10 | 7: iteration 1830/ 2891 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.37 | learning rate: 7.448E-05 | global batch size: 256 | lm loss: 4.397480E+00 | grad norm: 0.457 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 689.365 | TFLOPs: 24.13 | 7: iteration 1840/ 2891 | consumed samples: 471040 | consumed 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consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.30 | learning rate: 7.088E-05 | global batch size: 256 | lm loss: 4.379863E+00 | grad norm: 0.486 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.967 | TFLOPs: 30.21 | 7: iteration 1880/ 2891 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.30 | learning rate: 7.000E-05 | global batch size: 256 | lm loss: 4.379932E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.539 | TFLOPs: 30.27 | 7: iteration 1890/ 2891 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 0.30 | learning rate: 6.912E-05 | global batch size: 256 | lm loss: 4.380672E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.530 | TFLOPs: 30.23 | 7: iteration 1900/ 2891 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 0.30 | learning rate: 6.824E-05 | global batch size: 256 | lm loss: 4.380854E+00 | grad norm: 0.578 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.899 | TFLOPs: 30.24 | 7: iteration 1910/ 2891 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 0.30 | learning rate: 6.737E-05 | global batch size: 256 | lm loss: 4.376157E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.833 | TFLOPs: 30.24 | 7: iteration 1920/ 2891 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.30 | learning rate: 6.650E-05 | global batch size: 256 | lm loss: 4.371692E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.030 | TFLOPs: 30.21 | 7: iteration 1930/ 2891 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.30 | learning rate: 6.564E-05 | global batch size: 256 | lm loss: 4.372859E+00 | grad norm: 0.472 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.951 | TFLOPs: 30.21 | 7: iteration 1940/ 2891 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.30 | learning rate: 6.478E-05 | global batch size: 256 | lm loss: 4.367215E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.928 | TFLOPs: 30.21 | 7: iteration 1950/ 2891 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.30 | learning rate: 6.393E-05 | global batch size: 256 | lm loss: 4.364752E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.981 | TFLOPs: 29.83 | 7: iteration 1960/ 2891 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.30 | learning rate: 6.308E-05 | global batch size: 256 | lm loss: 4.364819E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.837 | TFLOPs: 30.17 | 7: iteration 1970/ 2891 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.30 | learning rate: 6.224E-05 | global batch size: 256 | lm loss: 4.360028E+00 | grad norm: 0.502 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.590 | TFLOPs: 29.95 | 7: iteration 1980/ 2891 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.30 | learning rate: 6.141E-05 | global batch size: 256 | lm loss: 4.363355E+00 | grad norm: 0.431 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 864.907 | TFLOPs: 30.28 | 7: iteration 1990/ 2891 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.30 | learning rate: 6.058E-05 | global batch size: 256 | lm loss: 4.362328E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 845.970 | TFLOPs: 29.62 | 0: [2023-03-17 11:05:50,666] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[5.9757828883278194e-05, 5.9757828883278194e-05, 5.9757828883278194e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 7: iteration 2000/ 2891 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.30 | learning rate: 5.976E-05 | global batch size: 256 | lm loss: 4.354663E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.686 | TFLOPs: 29.96 | 0: steps: 2000 loss: 4.3475 iter time (s): 0.315 samples/sec: 812.065 7: ----------------------------------------------------------------------------------------------- 7: validation loss at iteration 2000 | lm loss value: 4.233490E+00 | lm loss PPL: 6.895744E+01 | 7: ----------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 2000 to checkpoints_146m1b5100mdedup 0: [2023-03-17 11:05:50,786] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2000 is begin to save! 0: [2023-03-17 11:05:50,789] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m1b5100mdedup/global_step2000/layer_01-model_00-model_states.pt... 0: [2023-03-17 11:05:50,875] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/layer_01-model_00-model_states.pt. 0: [2023-03-17 11:05:50,875] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2023-03-17 11:05:51,163] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 11:05:51,164] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt. 0: [2023-03-17 11:05:51,164] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2023-03-17 11:05:51,164] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2023-03-17 11:05:51,164] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_8_mp_rank_00_optim_states.pt. 1: [2023-03-17 11:05:51,164] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 4: [2023-03-17 11:05:51,165] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_36_mp_rank_00_optim_states.pt 1: [2023-03-17 11:05:51,165] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2023-03-17 11:05:51,165] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2023-03-17 11:05:51,165] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-17 11:05:51,165] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_53_mp_rank_00_optim_states.pt. 6: [2023-03-17 11:05:51,166] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 4: [2023-03-17 11:05:51,166] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 11:05:51,166] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-17 11:05:51,166] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt. 6: [2023-03-17 11:05:51,166] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_52_mp_rank_00_optim_states.pt 6: [2023-03-17 11:05:51,166] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2023-03-17 11:05:51,166] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-17 11:05:51,167] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-17 11:05:51,167] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 11:05:51,167] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_61_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:05:51,167] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_59_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:05:51,167] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_62_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:05:51,168] [INFO] 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checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 7: [2023-03-17 11:05:51,168] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 11:05:51,168] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 11:05:51,168] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-17 11:05:51,168] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt. 6: [2023-03-17 11:05:51,168] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_50_mp_rank_00_optim_states.pt 6: [2023-03-17 11:05:51,168] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2023-03-17 11:05:51,169] [INFO] 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checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_38_mp_rank_00_optim_states.pt 4: [2023-03-17 11:05:51,171] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-17 11:05:51,171] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:05:51,172] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2023-03-17 11:05:51,172] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-17 11:05:51,172] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt. 5: [2023-03-17 11:05:51,172] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt. 6: [2023-03-17 11:05:51,172] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_51_mp_rank_00_optim_states.pt 4: [2023-03-17 11:05:51,172] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_34_mp_rank_00_optim_states.pt. 5: [2023-03-17 11:05:51,172] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 6: [2023-03-17 11:05:51,172] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2023-03-17 11:05:51,172] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2023-03-17 11:05:51,172] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero 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[2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 4: [2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt. 4: [2023-03-17 11:05:51,173] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 2: [2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 4: [2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 2: [2023-03-17 11:05:51,173] [INFO] [engine.py:3213:_save_zero_checkpoint] 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[Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 4: [2023-03-17 11:05:51,174] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_35_mp_rank_00_optim_states.pt 5: [2023-03-17 11:05:51,174] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 4: [2023-03-17 11:05:51,174] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 5: [2023-03-17 11:05:51,174] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 6: [2023-03-17 11:05:51,174] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_54_mp_rank_00_optim_states.pt. 6: [2023-03-17 11:05:51,174] [INFO] 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checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_15_mp_rank_00_optim_states.pt 1: [2023-03-17 11:05:51,173] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_14_mp_rank_00_optim_states.pt 1: [2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 1: [2023-03-17 11:05:51,173] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt. 0: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt. 0: [2023-03-17 11:05:51,178] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2023-03-17 11:05:51,178] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_7_mp_rank_00_optim_states.pt 0: [2023-03-17 11:05:51,178] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_1_mp_rank_00_optim_states.pt 0: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:05:51,179] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt 7: [2023-03-17 11:05:51,179] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 11:05:51,179] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:05:51,179] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2023-03-17 11:05:51,179] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 11:05:51,183] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:05:51,183] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:05:51,183] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2023-03-17 11:05:51,183] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_63_mp_rank_00_optim_states.pt 7: [2023-03-17 11:05:51,183] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 7: [2023-03-17 11:05:51,183] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 3: [2023-03-17 11:05:51,177] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt. 3: [2023-03-17 11:05:51,177] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_25_mp_rank_00_optim_states.pt 3: [2023-03-17 11:05:51,178] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: [2023-03-17 11:05:51,192] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2000/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt 0: [2023-03-17 11:05:51,192] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2000 is ready now! 0: successfully saved checkpoint at iteration 2000 to checkpoints_146m1b5100mdedup 7: time (ms) | save-checkpoint: 411.27 7: iteration 2010/ 2891 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.35 | learning rate: 5.894E-05 | global batch size: 256 | lm loss: 4.350509E+00 | grad norm: 0.435 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 729.089 | TFLOPs: 25.52 | 7: iteration 2020/ 2891 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.30 | learning rate: 5.813E-05 | global batch size: 256 | lm loss: 4.349607E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.827 | TFLOPs: 30.21 | 7: iteration 2030/ 2891 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.30 | learning rate: 5.733E-05 | global batch size: 256 | lm loss: 4.340765E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.012 | TFLOPs: 30.21 | 7: iteration 2040/ 2891 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.30 | learning rate: 5.653E-05 | global batch size: 256 | lm loss: 4.345676E+00 | grad norm: 0.513 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.933 | TFLOPs: 30.17 | 7: iteration 2050/ 2891 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.30 | learning rate: 5.574E-05 | global batch size: 256 | lm loss: 4.354553E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.215 | TFLOPs: 30.18 | 7: iteration 2060/ 2891 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.30 | learning rate: 5.495E-05 | global batch size: 256 | lm loss: 4.347528E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.385 | TFLOPs: 30.19 | 7: iteration 2070/ 2891 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.30 | learning rate: 5.418E-05 | global batch size: 256 | lm loss: 4.349236E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.755 | TFLOPs: 30.17 | 7: iteration 2080/ 2891 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.30 | learning rate: 5.340E-05 | global batch size: 256 | lm loss: 4.348713E+00 | grad norm: 0.454 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.174 | TFLOPs: 30.18 | 7: iteration 2090/ 2891 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.30 | learning rate: 5.264E-05 | global batch size: 256 | lm loss: 4.336153E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.790 | TFLOPs: 30.17 | 7: iteration 2100/ 2891 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.30 | learning rate: 5.188E-05 | global batch size: 256 | lm loss: 4.335480E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.822 | TFLOPs: 30.17 | 7: iteration 2110/ 2891 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.30 | learning rate: 5.113E-05 | global batch size: 256 | lm loss: 4.340731E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 843.564 | TFLOPs: 29.53 | 7: iteration 2120/ 2891 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.30 | learning rate: 5.039E-05 | global batch size: 256 | lm loss: 4.340643E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.560 | TFLOPs: 30.06 | 7: iteration 2130/ 2891 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.30 | learning rate: 4.965E-05 | global batch size: 256 | lm loss: 4.332523E+00 | grad norm: 0.473 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.743 | TFLOPs: 30.17 | 7: iteration 2140/ 2891 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.30 | learning rate: 4.892E-05 | global batch size: 256 | lm loss: 4.328737E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.156 | TFLOPs: 30.18 | 7: iteration 2150/ 2891 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.30 | learning rate: 4.820E-05 | global batch size: 256 | lm loss: 4.338985E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.655 | TFLOPs: 30.16 | 7: iteration 2160/ 2891 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.30 | learning rate: 4.749E-05 | global batch size: 256 | lm loss: 4.342908E+00 | grad norm: 0.444 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.594 | TFLOPs: 30.20 | 7: iteration 2170/ 2891 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.30 | learning rate: 4.678E-05 | global batch size: 256 | lm loss: 4.334691E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.237 | TFLOPs: 30.18 | 7: iteration 2180/ 2891 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.30 | learning rate: 4.608E-05 | global batch size: 256 | lm loss: 4.325619E+00 | grad norm: 0.498 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.044 | TFLOPs: 30.18 | 7: iteration 2190/ 2891 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.30 | learning rate: 4.539E-05 | global batch size: 256 | lm loss: 4.326366E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.880 | TFLOPs: 30.21 | 7: iteration 2200/ 2891 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.30 | learning rate: 4.471E-05 | global batch size: 256 | lm loss: 4.332251E+00 | grad norm: 0.504 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.921 | TFLOPs: 30.21 | 7: iteration 2210/ 2891 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.30 | learning rate: 4.403E-05 | global batch size: 256 | lm loss: 4.324911E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.241 | TFLOPs: 30.18 | 7: iteration 2220/ 2891 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.30 | learning rate: 4.336E-05 | global batch size: 256 | lm loss: 4.326531E+00 | grad norm: 0.485 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.404 | TFLOPs: 30.23 | 7: iteration 2230/ 2891 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.30 | learning rate: 4.270E-05 | global batch size: 256 | lm loss: 4.323283E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.789 | TFLOPs: 30.17 | 7: iteration 2240/ 2891 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.30 | learning rate: 4.205E-05 | global batch size: 256 | lm loss: 4.320369E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 861.602 | TFLOPs: 30.16 | 7: iteration 2250/ 2891 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.30 | learning rate: 4.141E-05 | global batch size: 256 | lm loss: 4.313090E+00 | grad norm: 0.471 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.503 | TFLOPs: 30.19 | 7: iteration 2260/ 2891 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.30 | learning rate: 4.077E-05 | global batch size: 256 | lm loss: 4.316910E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.471 | TFLOPs: 30.19 | 7: iteration 2270/ 2891 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.30 | learning rate: 4.014E-05 | global batch size: 256 | lm loss: 4.321210E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.094 | TFLOPs: 30.18 | 7: iteration 2280/ 2891 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.30 | learning rate: 3.953E-05 | global batch size: 256 | lm loss: 4.314687E+00 | grad norm: 0.458 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.800 | TFLOPs: 29.82 | 7: iteration 2290/ 2891 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.30 | learning rate: 3.892E-05 | global batch size: 256 | lm loss: 4.310950E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.749 | TFLOPs: 30.20 | 7: iteration 2300/ 2891 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.30 | learning rate: 3.831E-05 | global batch size: 256 | lm loss: 4.315722E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.858 | TFLOPs: 30.21 | 7: iteration 2310/ 2891 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.30 | learning rate: 3.772E-05 | global batch size: 256 | lm loss: 4.314664E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.088 | TFLOPs: 30.18 | 7: iteration 2320/ 2891 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.30 | learning rate: 3.714E-05 | global batch size: 256 | lm loss: 4.320375E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.024 | TFLOPs: 30.18 | 7: iteration 2330/ 2891 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.30 | learning rate: 3.656E-05 | global batch size: 256 | lm loss: 4.311802E+00 | grad norm: 0.462 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.603 | TFLOPs: 30.20 | 7: iteration 2340/ 2891 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.30 | learning rate: 3.600E-05 | global batch size: 256 | lm loss: 4.311455E+00 | grad norm: 0.437 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 862.521 | TFLOPs: 30.19 | 7: iteration 2350/ 2891 | consumed samples: 601600 | consumed 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consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.30 | learning rate: 3.382E-05 | global batch size: 256 | lm loss: 4.294275E+00 | grad norm: 0.452 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 857.887 | TFLOPs: 30.03 | 7: iteration 2390/ 2891 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.30 | learning rate: 3.330E-05 | global batch size: 256 | lm loss: 4.299980E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 851.539 | TFLOPs: 29.81 | 7: iteration 2400/ 2891 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.30 | learning rate: 3.279E-05 | global batch size: 256 | lm loss: 4.303701E+00 | grad norm: 0.465 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 863.090 | TFLOPs: 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| number of nan iterations: 0 | samples per second: 859.846 | TFLOPs: 30.10 | 7: iteration 2470/ 2891 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.30 | learning rate: 2.947E-05 | global batch size: 256 | lm loss: 4.300025E+00 | grad norm: 0.426 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.558 | TFLOPs: 30.13 | 7: iteration 2480/ 2891 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.30 | learning rate: 2.903E-05 | global batch size: 256 | lm loss: 4.293805E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.862 | TFLOPs: 30.10 | 7: iteration 2490/ 2891 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.30 | learning rate: 2.860E-05 | global batch size: 256 | lm loss: 4.309486E+00 | grad norm: 0.419 | num zeros: 0.0 | 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| lm loss: 4.285664E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.927 | TFLOPs: 30.10 | 7: iteration 2560/ 2891 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.30 | learning rate: 2.590E-05 | global batch size: 256 | lm loss: 4.291282E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.717 | TFLOPs: 30.10 | 7: iteration 2570/ 2891 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.30 | learning rate: 2.555E-05 | global batch size: 256 | lm loss: 4.283460E+00 | grad norm: 0.442 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 860.089 | TFLOPs: 30.11 | 7: iteration 2580/ 2891 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.30 | learning rate: 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| number of nan iterations: 0 | samples per second: 859.626 | TFLOPs: 30.09 | 7: iteration 2760/ 2891 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.30 | learning rate: 2.094E-05 | global batch size: 256 | lm loss: 4.273268E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.619 | TFLOPs: 30.06 | 7: iteration 2770/ 2891 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.30 | learning rate: 2.080E-05 | global batch size: 256 | lm loss: 4.279312E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.565 | TFLOPs: 30.09 | 7: iteration 2780/ 2891 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.30 | learning rate: 2.068E-05 | global batch size: 256 | lm loss: 4.278708E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.474 | TFLOPs: 30.09 | 7: iteration 2790/ 2891 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.30 | learning rate: 2.056E-05 | global batch size: 256 | lm loss: 4.278606E+00 | grad norm: 0.436 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.016 | TFLOPs: 30.07 | 7: iteration 2800/ 2891 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.30 | learning rate: 2.046E-05 | global batch size: 256 | lm loss: 4.274202E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 855.974 | TFLOPs: 29.97 | 7: iteration 2810/ 2891 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.30 | learning rate: 2.036E-05 | global batch size: 256 | lm loss: 4.268297E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.033 | TFLOPs: 30.07 | 7: iteration 2820/ 2891 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.30 | learning rate: 2.028E-05 | global batch size: 256 | lm loss: 4.268354E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.540 | TFLOPs: 30.09 | 7: iteration 2830/ 2891 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.30 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 4.268483E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 852.011 | TFLOPs: 29.83 | 7: iteration 2840/ 2891 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.30 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 4.261121E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.680 | TFLOPs: 30.10 | 7: iteration 2850/ 2891 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.30 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 4.267115E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 858.607 | TFLOPs: 30.06 | 7: iteration 2860/ 2891 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.30 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 4.268701E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.107 | TFLOPs: 30.07 | 7: iteration 2870/ 2891 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.30 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 4.264526E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.041 | TFLOPs: 30.07 | 7: iteration 2880/ 2891 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.30 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 4.259760E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.602 | TFLOPs: 30.09 | 7: iteration 2890/ 2891 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.30 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 4.265461E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 859.343 | TFLOPs: 30.08 | 0: [after training is done] datetime: 2023-03-17 11:10:16 0: saving checkpoint at iteration 2891 to checkpoints_146m1b5100mdedup 7: ----------------------------------------------------------------------------------------------------------------- 7: validation loss at the end of training for val data | lm loss value: 4.158306E+00 | lm loss PPL: 6.396305E+01 | 7: ----------------------------------------------------------------------------------------------------------------- 0: [2023-03-17 11:10:16,656] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step2891 is begin to save! 0: [2023-03-17 11:10:16,659] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_146m1b5100mdedup/global_step2891/layer_01-model_00-model_states.pt... 0: [2023-03-17 11:10:16,744] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/layer_01-model_00-model_states.pt. 0: [2023-03-17 11:10:16,744] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2023-03-17 11:10:17,027] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 0: [2023-03-17 11:10:17,028] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt. 0: [2023-03-17 11:10:17,028] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_2_mp_rank_00_optim_states.pt 0: [2023-03-17 11:10:17,028] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 4: [2023-03-17 11:10:17,030] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt. 4: [2023-03-17 11:10:17,030] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_39_mp_rank_00_optim_states.pt 4: [2023-03-17 11:10:17,030] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 6: [2023-03-17 11:10:17,030] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:10:17,030] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt. 2: [2023-03-17 11:10:17,030] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 6: [2023-03-17 11:10:17,030] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_55_mp_rank_00_optim_states.pt 2: [2023-03-17 11:10:17,030] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 6: [2023-03-17 11:10:17,030] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 5: [2023-03-17 11:10:17,030] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt. 5: [2023-03-17 11:10:17,031] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_40_mp_rank_00_optim_states.pt 5: [2023-03-17 11:10:17,031] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 5: [2023-03-17 11:10:17,032] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_44_mp_rank_00_optim_states.pt. 5: [2023-03-17 11:10:17,032] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint 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[Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt. 6: [2023-03-17 11:10:17,032] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt. 6: [2023-03-17 11:10:17,032] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_49_mp_rank_00_optim_states.pt 6: [2023-03-17 11:10:17,033] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 0: [2023-03-17 11:10:17,033] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt. 0: [2023-03-17 11:10:17,033] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_3_mp_rank_00_optim_states.pt 0: [2023-03-17 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checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2023-03-17 11:10:17,034] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 1: [2023-03-17 11:10:17,034] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 4: [2023-03-17 11:10:17,034] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_37_mp_rank_00_optim_states.pt 4: [2023-03-17 11:10:17,034] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 3: [2023-03-17 11:10:17,032] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt. 0: [2023-03-17 11:10:17,034] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 3: [2023-03-17 11:10:17,033] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_30_mp_rank_00_optim_states.pt 3: [2023-03-17 11:10:17,033] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 3: [2023-03-17 11:10:17,033] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt. 4: [2023-03-17 11:10:17,034] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_32_mp_rank_00_optim_states.pt. 3: [2023-03-17 11:10:17,033] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_29_mp_rank_00_optim_states.pt 0: [2023-03-17 11:10:17,034] 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2023-03-17 11:10:17,037] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_60_mp_rank_00_optim_states.pt 7: [2023-03-17 11:10:17,037] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 7: [2023-03-17 11:10:17,037] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 7: [2023-03-17 11:10:17,037] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_57_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:10:17,037] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_58_mp_rank_00_optim_states.pt. 7: [2023-03-17 11:10:17,037] 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[Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt. 3: [2023-03-17 11:10:17,053] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_27_mp_rank_00_optim_states.pt 3: [2023-03-17 11:10:17,053] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 3: [2023-03-17 11:10:17,057] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt. 3: [2023-03-17 11:10:17,057] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_146m1b5100mdedup/global_step2891/bf16_zero_pp_rank_31_mp_rank_00_optim_states.pt 3: [2023-03-17 11:10:17,057] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2891 is ready now! 0: successfully saved checkpoint at iteration 2891 to checkpoints_146m1b5100mdedup END 3328798: Fri 17 Mar 2023 11:10:27 AM EET