diff --git "a/logs/main/main_log.txt" "b/logs/main/main_log.txt" new file mode 100644--- /dev/null +++ "b/logs/main/main_log.txt" @@ -0,0 +1,9947 @@ +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +WARNING:__main__: +***************************************** +Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. +***************************************** +[default0]:using world size: 64, data-parallel-size: 32, tensor-model-parallel size: 2, pipeline-model-parallel size: 1 +[default0]:WARNING: overriding default arguments for tokenizer_type:GPT2BPETokenizer with tokenizer_type:PretrainedFromHF +[default0]:using torch.float16 for parameters ... +[default0]:------------------------ arguments ------------------------ +[default0]: abort_on_unmet_fused_kernel_constraints ......... True +[default0]: accumulate_allreduce_grads_in_fp32 .............. False +[default0]: adam_beta1 ...................................... 0.9 +[default0]: adam_beta2 ...................................... 0.95 +[default0]: adam_eps ........................................ 1e-08 +[default0]: adlr_autoresume ................................. False +[default0]: adlr_autoresume_interval ........................ 1000 +[default0]: apply_query_key_layer_scaling ................... True +[default0]: apply_residual_connection_post_layernorm ........ False +[default0]: attention_dropout ............................... 0.1 +[default0]: attention_softmax_in_fp32 ....................... False +[default0]: bert_binary_head ................................ True +[default0]: bert_load ....................................... None +[default0]: bf16 ............................................ False +[default0]: bias_dropout_fusion ............................. True +[default0]: bias_gelu_fusion ................................ True +[default0]: biencoder_projection_dim ........................ 0 +[default0]: biencoder_shared_query_context_model ............ False +[default0]: block_data_path ................................. None +[default0]: checkpoint_activations .......................... True +[default0]: checkpoint_in_cpu ............................... False +[default0]: checkpoint_num_layers ........................... 1 +[default0]: clip_grad ....................................... 1.0 +[default0]: codecarbon_dir .................................. None +[default0]: consumed_train_samples .......................... 0 +[default0]: consumed_train_tokens ........................... 0 +[default0]: consumed_valid_samples .......................... 0 +[default0]: contigious_checkpointing ........................ False +[default0]: cpu_optimizer ................................... False +[default0]: cpu_torch_adam .................................. False +[default0]: curriculum_learning ............................. False +[default0]: data_impl ....................................... mmap +[default0]: data_parallel_size .............................. 32 +[default0]: data_path ....................................... ['/gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document'] +[default0]: dataloader_type ................................. single +[default0]: DDP_impl ........................................ local +[default0]: decoder_seq_length .............................. None +[default0]: deepscale ....................................... False +[default0]: deepscale_config ................................ None +[default0]: deepspeed ....................................... True +[default0]: deepspeed_activation_checkpointing .............. True +[default0]: deepspeed_config ................................ ./ds_config.1219013.json +[default0]: deepspeed_mpi ................................... False +[default0]: distribute_checkpointed_activations ............. False +[default0]: distributed_backend ............................. nccl +[default0]: embed_layernorm ................................. True +[default0]: embedding_path .................................. None +[default0]: encoder_seq_length .............................. 2048 +[default0]: eod_mask_loss ................................... False +[default0]: eval_interval ................................... 1000 +[default0]: eval_iters ...................................... 1 +[default0]: eval_only ....................................... None +[default0]: evidence_data_path .............................. None +[default0]: exit_duration_in_mins ........................... 1190 +[default0]: exit_interval ................................... None +[default0]: ffn_hidden_size ................................. 10240 +[default0]: finetune ........................................ False +[default0]: fp16 ............................................ True +[default0]: fp16_lm_cross_entropy ........................... False +[default0]: fp32_residual_connection ........................ False +[default0]: gigaflos_no_embeds .............................. 0 +[default0]: global_batch_size ............................... 512 +[default0]: glu_activation .................................. None +[default0]: hidden_dropout .................................. 0.1 +[default0]: hidden_size ..................................... 2560 +[default0]: hysteresis ...................................... 2 +[default0]: ict_head_size ................................... None +[default0]: ict_load ........................................ None +[default0]: img_dim ......................................... 224 +[default0]: indexer_batch_size .............................. 128 +[default0]: indexer_log_interval ............................ 1000 +[default0]: inference ....................................... False +[default0]: init_method_std ................................. 0.1 +[default0]: init_method_xavier_uniform ...................... False +[default0]: initial_loss_scale .............................. 4294967296 +[default0]: kill_switch_path ................................ None +[default0]: kv_channels ..................................... 80 +[default0]: layernorm_epsilon ............................... 1e-05 +[default0]: lazy_mpu_init ................................... None +[default0]: load ............................................ /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main +[default0]: local_rank ...................................... None +[default0]: log_batch_size_to_tensorboard ................... True +[default0]: log_interval .................................... 1 +[default0]: log_learning_rate_to_tensorboard ................ True +[default0]: log_level ....................................... None +[default0]: log_level_replica ............................... None +[default0]: log_loss_scale_to_tensorboard ................... True +[default0]: log_num_zeros_in_grad ........................... False +[default0]: log_params_norm ................................. False +[default0]: log_path ........................................ None +[default0]: log_timers_to_tensorboard ....................... True +[default0]: log_validation_ppl_to_tensorboard ............... True +[default0]: loss_on_targets_only ............................ False +[default0]: loss_scale ...................................... None +[default0]: loss_scale_window ............................... 1000 +[default0]: lr .............................................. 0.03 +[default0]: lr_decay_iters .................................. None +[default0]: lr_decay_samples ................................ 1953125 +[default0]: lr_decay_style .................................. cosine +[default0]: lr_decay_tokens ................................. None +[default0]: lr_warmup_fraction .............................. None +[default0]: lr_warmup_iters ................................. 0 +[default0]: lr_warmup_samples ............................... 183105 +[default0]: make_vocab_size_divisible_by .................... 128 +[default0]: mask_prob ....................................... 0.15 +[default0]: masked_softmax_fusion ........................... True +[default0]: max_position_embeddings ......................... 2048 +[default0]: mean_noise_span_length .......................... None +[default0]: memory_centric_tiled_linear ..................... False +[default0]: merge_file ...................................... None +[default0]: micro_batch_size ................................ 16 +[default0]: min_loss_scale .................................. 1.0 +[default0]: min_lr .......................................... 0.003 +[default0]: mmap_warmup ..................................... False +[default0]: mup ............................................. True +[default0]: mup_attn_mult ................................... 10.0 +[default0]: mup_base_ffn_hidden_size ........................ 256 +[default0]: mup_base_hidden_size ............................ 64 +[default0]: mup_coord_check ................................. False +[default0]: mup_input_mult .................................. 10.0 +[default0]: mup_output_mult ................................. 10.0 +[default0]: no_load_optim ................................... None +[default0]: no_load_rng ..................................... None +[default0]: no_save_optim ................................... None +[default0]: no_save_rng ..................................... None +[default0]: noise_density ................................... None +[default0]: num_attention_heads ............................. 32 +[default0]: num_channels .................................... 3 +[default0]: num_classes ..................................... 1000 +[default0]: num_layers ...................................... 32 +[default0]: num_layers_per_virtual_pipeline_stage ........... None +[default0]: num_workers ..................................... 2 +[default0]: onnx_safe ....................................... None +[default0]: openai_gelu ..................................... False +[default0]: optimizer ....................................... adam +[default0]: override_lr_scheduler ........................... False +[default0]: pad_vocab_size_to ............................... 51200 +[default0]: params_dtype .................................... torch.float16 +[default0]: partition_activations ........................... False +[default0]: patch_dim ....................................... 16 +[default0]: pipeline_model_parallel_size .................... 1 +[default0]: position_embedding_type ......................... PositionEmbeddingType.alibi +[default0]: pp_partition_method ............................. type:transformer +[default0]: profile_backward ................................ False +[default0]: query_in_block_prob ............................. 0.1 +[default0]: rampup_batch_size ............................... None +[default0]: rank ............................................ 0 +[default0]: remote_device ................................... none +[default0]: reset_attention_mask ............................ False +[default0]: reset_position_ids .............................. False +[default0]: retriever_report_topk_accuracies ................ [] +[default0]: retriever_score_scaling ......................... False +[default0]: retriever_seq_length ............................ 256 +[default0]: reweight_loss_based_on_position_frequency ....... False +[default0]: sample_rate ..................................... 1.0 +[default0]: save ............................................ /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main +[default0]: save_interval ................................... 250 +[default0]: scatter_gather_tensors_in_pipeline .............. True +[default0]: scattered_embeddings ............................ False +[default0]: seed ............................................ 42 +[default0]: seq_length ...................................... 2048 +[default0]: sgd_momentum .................................... 0.9 +[default0]: short_seq_prob .................................. 0.1 +[default0]: skip_train_iteration_range ...................... None +[default0]: split ........................................... 969, 30, 1 +[default0]: split_transformers .............................. False +[default0]: sync_tp_duplicated_parameters ................... False +[default0]: synchronize_each_layer .......................... False +[default0]: tensor_model_parallel_size ...................... 2 +[default0]: tensorboard_dir ................................. /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/tr14-2B7-test-lr0.03-init0.1-inpm10-outm10-atnm10-mup/tensorboard/main +[default0]: tensorboard_log_interval ........................ 1 +[default0]: tensorboard_queue_size .......................... 5 +[default0]: test_weighted_split_names ....................... None +[default0]: test_weighted_split_paths ....................... None +[default0]: test_weighted_split_paths_path .................. None +[default0]: test_weighted_split_splits ...................... None +[default0]: test_weighted_split_weights ..................... None +[default0]: tile_factor ..................................... 1 +[default0]: titles_data_path ................................ None +[default0]: tokenizer_name_or_path .......................... t5-small +[default0]: tokenizer_type .................................. PretrainedFromHF +[default0]: train_iters ..................................... None +[default0]: train_samples ................................... 1953125 +[default0]: train_tokens .................................... None +[default0]: train_weighted_split_paths ...................... None +[default0]: train_weighted_split_paths_path ................. None +[default0]: universal_checkpoint ............................ False +[default0]: use_bnb_optimizer ............................... False +[default0]: use_checkpoint_lr_scheduler ..................... False +[default0]: use_contiguous_buffers_in_ddp ................... False +[default0]: use_cpu_initialization .......................... None +[default0]: use_one_sent_docs ............................... False +[default0]: use_pin_memory .................................. False +[default0]: valid_num_workers ............................... 2 +[default0]: valid_weighted_split_names ...................... None +[default0]: valid_weighted_split_paths ...................... None +[default0]: valid_weighted_split_paths_path ................. None +[default0]: valid_weighted_split_splits ..................... None +[default0]: valid_weighted_split_weights .................... None +[default0]: virtual_pipeline_model_parallel_size ............ None +[default0]: vocab_extra_ids ................................. 0 +[default0]: vocab_file ...................................... None +[default0]: weight_decay .................................... 0.1 +[default0]: world_size ...................................... 64 +[default0]: zero_allgather_bucket_size ...................... 0.0 +[default0]: zero_contigious_gradients ....................... False +[default0]: zero_reduce_bucket_size ......................... 0.0 +[default0]: zero_reduce_scatter ............................. False +[default0]: zero_stage ...................................... 1 +[default0]:-------------------- end of arguments --------------------- +[default0]:setting number of micro-batches to constant 1 +[default0]:> building PretrainedFromHF tokenizer ... +[default0]: vocab file is un-used. loading tokenizer from pre-trained model +[default0]:Offline mode: forcing local_files_only=True +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default2]: warnings.warn( +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]: warnings.warn( +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default2]: warnings.warn( +[default0]:Could not locate the tokenizer configuration file, will try to use the model config instead. +[default0]:Offline mode: forcing local_files_only=True +[default0]:loading configuration file config.json from cache at /gpfswork/rech/ajs/commun/models/models--t5-small/snapshots/3479082dc36f8a4730936ef1c9b88cd8b0835c53/config.json +[default0]:Model config T5Config { +[default0]: "_name_or_path": "t5-small", +[default0]: "architectures": [ +[default0]: "T5ForConditionalGeneration" +[default0]: ], +[default0]: "d_ff": 2048, +[default0]: "d_kv": 64, +[default0]: "d_model": 512, +[default0]: "decoder_start_token_id": 0, +[default0]: "dense_act_fn": "relu", +[default0]: "dropout_rate": 0.1, +[default0]: "eos_token_id": 1, +[default0]: "feed_forward_proj": "relu", +[default0]: "initializer_factor": 1.0, +[default0]: "is_encoder_decoder": true, +[default0]: "is_gated_act": false, +[default0]: "layer_norm_epsilon": 1e-06, +[default0]: "model_type": "t5", +[default0]: "n_positions": 512, +[default0]: "num_decoder_layers": 6, +[default0]: "num_heads": 8, +[default0]: "num_layers": 6, +[default0]: "output_past": true, +[default0]: "pad_token_id": 0, +[default0]: "relative_attention_max_distance": 128, +[default0]: "relative_attention_num_buckets": 32, +[default0]: "task_specific_params": { +[default0]: "summarization": { +[default0]: "early_stopping": true, +[default0]: "length_penalty": 2.0, +[default0]: "max_length": 200, +[default0]: "min_length": 30, +[default0]: "no_repeat_ngram_size": 3, +[default0]: "num_beams": 4, +[default0]: "prefix": "summarize: " +[default0]: }, +[default0]: "translation_en_to_de": { +[default0]: "early_stopping": true, +[default0]: "max_length": 300, +[default0]: "num_beams": 4, +[default0]: "prefix": "translate English to German: " +[default0]: }, +[default0]: "translation_en_to_fr": { +[default0]: "early_stopping": true, +[default0]: "max_length": 300, +[default0]: "num_beams": 4, +[default0]: "prefix": "translate English to French: " +[default0]: }, +[default0]: "translation_en_to_ro": { +[default0]: "early_stopping": true, +[default0]: "max_length": 300, +[default0]: "num_beams": 4, +[default0]: "prefix": "translate English to Romanian: " +[default0]: } +[default0]: }, +[default0]: "transformers_version": "4.25.0.dev0", +[default0]: "use_cache": true, +[default0]: "vocab_size": 32128 +[default0]:} +[default0]: +[default0]:Offline mode: forcing local_files_only=True +[default0]:loading file spiece.model from cache at /gpfswork/rech/ajs/commun/models/models--t5-small/snapshots/3479082dc36f8a4730936ef1c9b88cd8b0835c53/spiece.model +[default0]:loading file tokenizer.json from cache at /gpfswork/rech/ajs/commun/models/models--t5-small/snapshots/3479082dc36f8a4730936ef1c9b88cd8b0835c53/tokenizer.json +[default0]:loading file added_tokens.json from cache at None +[default0]:loading file special_tokens_map.json from cache at None +[default0]:loading file tokenizer_config.json from cache at None +[default0]:loading configuration file config.json from cache at /gpfswork/rech/ajs/commun/models/models--t5-small/snapshots/3479082dc36f8a4730936ef1c9b88cd8b0835c53/config.json +[default0]:Model config T5Config { +[default0]: "_name_or_path": "t5-small", +[default0]: "architectures": [ +[default0]: "T5ForConditionalGeneration" +[default0]: ], +[default0]: "d_ff": 2048, +[default0]: "d_kv": 64, +[default0]: "d_model": 512, +[default0]: "decoder_start_token_id": 0, +[default0]: "dense_act_fn": "relu", +[default0]: "dropout_rate": 0.1, +[default0]: "eos_token_id": 1, +[default0]: "feed_forward_proj": "relu", +[default0]: "initializer_factor": 1.0, +[default0]: "is_encoder_decoder": true, +[default0]: "is_gated_act": false, +[default0]: "layer_norm_epsilon": 1e-06, +[default0]: "model_type": "t5", +[default0]: "n_positions": 512, +[default0]: "num_decoder_layers": 6, +[default0]: "num_heads": 8, +[default0]: "num_layers": 6, +[default0]: "output_past": true, +[default0]: "pad_token_id": 0, +[default0]: "relative_attention_max_distance": 128, +[default0]: "relative_attention_num_buckets": 32, +[default0]: "task_specific_params": { +[default0]: "summarization": { +[default0]: "early_stopping": true, +[default0]: "length_penalty": 2.0, +[default0]: "max_length": 200, +[default0]: "min_length": 30, +[default0]: "no_repeat_ngram_size": 3, +[default0]: "num_beams": 4, +[default0]: "prefix": "summarize: " +[default0]: }, +[default0]: "translation_en_to_de": { +[default0]: "early_stopping": true, +[default0]: "max_length": 300, +[default0]: "num_beams": 4, +[default0]: "prefix": "translate English to German: " +[default0]: }, +[default0]: "translation_en_to_fr": { +[default0]: "early_stopping": true, +[default0]: "max_length": 300, +[default0]: "num_beams": 4, +[default0]: "prefix": "translate English to French: " +[default0]: }, +[default0]: "translation_en_to_ro": { +[default0]: "early_stopping": true, +[default0]: "max_length": 300, +[default0]: "num_beams": 4, +[default0]: "prefix": "translate English to Romanian: " +[default0]: } +[default0]: }, +[default0]: "transformers_version": "4.25.0.dev0", +[default0]: "use_cache": true, +[default0]: "vocab_size": 32128 +[default0]:} +[default0]: +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]: warnings.warn( +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default2]: warnings.warn( +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default2]: warnings.warn( +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default2]: warnings.warn( +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default1]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default1]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default1]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default1]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default1]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default1]: warnings.warn( +[default5]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default5]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default5]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default5]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default5]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default5]: warnings.warn( +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default2]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default2]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default2]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default2]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default2]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default2]: warnings.warn( +[default3]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default3]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default3]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default3]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default3]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default3]: warnings.warn( +[default0]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default0]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default0]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default0]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default0]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default0]: warnings.warn( +[default4]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default4]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default4]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default4]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default4]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default4]: warnings.warn( +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default7]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default7]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default7]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default7]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/transformers/src/transformers/models/t5/tokenization_t5_fast.py:155: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5. +[default6]:For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`. +[default6]:- Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding. +[default6]:- If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding. +[default6]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default6]: warnings.warn( +[default7]:- To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value. +[default7]: warnings.warn( +[default0]: > padded vocab (size: 32100) with 19100 dummy tokens (new size: 51200) +[default7]:> setting tensorboard ... +[default0]:DeepSpeed general environment info: +[default0]:torch install path ............... ['/gpfswork/rech/six/commun/conda/tr11-176B-ml/lib/python3.8/site-packages/torch'] +[default0]:torch version .................... 1.11.0+cu115 +[default0]:torch cuda version ............... 11.5 +[default0]:torch hip version ................ None +[default0]:nvcc version ..................... 11.4 +[default0]:deepspeed install path ........... ['/gpfsssd/worksf/projects/rech/six/commun/code/tr11-176B-ml/DeepSpeed/deepspeed'] +[default0]:deepspeed info ................... 0.7.2+2a644488, 2a644488, master +[default0]:deepspeed wheel compiled w. ...... torch 1.11, cuda 11.5 +[default0]:**** Git info for Megatron: git_hash=ef0c6b8 git_branch=mup_integration **** +[default0]:> initializing torch distributed ... +[default0]:[2023-02-16 01:18:46,258] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl +[default0]:> initializing tensor model parallel with size 2 +[default0]:> initializing pipeline model parallel with size 1 +[default0]:> setting random seeds to 42 ... +[default0]:[2023-02-16 01:18:48,563] [INFO] [checkpointing.py:226:model_parallel_cuda_manual_seed] > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 2760 and data parallel seed: 42 +[default0]:> compiling dataset index builder ... +[default0]:make: Entering directory '/gpfsdswork/projects/rech/ajs/commun/code/Megatron-DeepSpeed/megatron/data' +[default0]:make: Nothing to be done for 'default'. +[default0]:make: Leaving directory '/gpfsdswork/projects/rech/ajs/commun/code/Megatron-DeepSpeed/megatron/data' +[default0]:>>> done with dataset index builder. Compilation time: 0.103 seconds +[default0]:> compiling and loading fused kernels ... +[default0]:Detected CUDA files, patching ldflags +[default0]:Emitting ninja build file /gpfsdswork/projects/rech/ajs/commun/code/Megatron-DeepSpeed/megatron/fused_kernels/build/build.ninja... +[default0]:Building extension module scaled_upper_triang_masked_softmax_cuda... +[default0]:Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +[default0]:ninja: no work to do. +[default0]:Loading extension module scaled_upper_triang_masked_softmax_cuda... +[default0]:Detected CUDA files, patching ldflags +[default0]:Emitting ninja build file /gpfsdswork/projects/rech/ajs/commun/code/Megatron-DeepSpeed/megatron/fused_kernels/build/build.ninja... +[default0]:Building extension module scaled_masked_softmax_cuda... +[default0]:Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +[default0]:ninja: no work to do. +[default0]:Loading extension module scaled_masked_softmax_cuda... +[default0]:Detected CUDA files, patching ldflags +[default0]:Emitting ninja build file /gpfsdswork/projects/rech/ajs/commun/code/Megatron-DeepSpeed/megatron/fused_kernels/build/build.ninja... +[default0]:Building extension module fused_mix_prec_layer_norm_cuda... +[default0]:Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) +[default0]:ninja: no work to do. +[default0]:Loading extension module fused_mix_prec_layer_norm_cuda... +[default0]:>>> done with compiling and loading fused kernels. Compilation time: 9.169 seconds +[default0]:time to initialize megatron (seconds): -14.164 +[default0]:[after megatron is initialized] datetime: 2023-02-16 01:18:57 +[default0]:building GPT model ... +[default0]:[2023-02-16 01:18:57,924] [INFO] [utils.py:827:see_memory_usage] Before Building Model +[default0]:[2023-02-16 01:18:57,924] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.0 GB Max_CA 0 GB +[default0]:[2023-02-16 01:18:57,924] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 49.01 GB, percent = 9.7% +[default0]:SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None +[default0]:Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=0, model=1): 1, ProcessCoord(pipe=0, data=1, model=0): 2, ProcessCoord(pipe=0, data=1, model=1): 3, ProcessCoord(pipe=0, data=2, model=0): 4, ProcessCoord(pipe=0, data=2, model=1): 5, ProcessCoord(pipe=0, data=3, model=0): 6, ProcessCoord(pipe=0, data=3, model=1): 7, ProcessCoord(pipe=0, data=4, model=0): 8, ProcessCoord(pipe=0, data=4, model=1): 9, ProcessCoord(pipe=0, data=5, model=0): 10, ProcessCoord(pipe=0, data=5, model=1): 11, ProcessCoord(pipe=0, data=6, model=0): 12, ProcessCoord(pipe=0, data=6, model=1): 13, ProcessCoord(pipe=0, data=7, model=0): 14, ProcessCoord(pipe=0, data=7, model=1): 15, ProcessCoord(pipe=0, data=8, model=0): 16, ProcessCoord(pipe=0, data=8, model=1): 17, ProcessCoord(pipe=0, data=9, model=0): 18, ProcessCoord(pipe=0, data=9, model=1): 19, ProcessCoord(pipe=0, data=10, model=0): 20, ProcessCoord(pipe=0, data=10, model=1): 21, ProcessCoord(pipe=0, data=11, model=0): 22, ProcessCoord(pipe=0, data=11, model=1): 23, ProcessCoord(pipe=0, data=12, model=0): 24, ProcessCoord(pipe=0, data=12, model=1): 25, ProcessCoord(pipe=0, data=13, model=0): 26, ProcessCoord(pipe=0, data=13, model=1): 27, ProcessCoord(pipe=0, data=14, model=0): 28, ProcessCoord(pipe=0, data=14, model=1): 29, ProcessCoord(pipe=0, data=15, model=0): 30, ProcessCoord(pipe=0, data=15, model=1): 31, ProcessCoord(pipe=0, data=16, model=0): 32, ProcessCoord(pipe=0, data=16, model=1): 33, ProcessCoord(pipe=0, data=17, model=0): 34, ProcessCoord(pipe=0, data=17, model=1): 35, ProcessCoord(pipe=0, data=18, model=0): 36, ProcessCoord(pipe=0, data=18, model=1): 37, ProcessCoord(pipe=0, data=19, model=0): 38, ProcessCoord(pipe=0, data=19, model=1): 39, ProcessCoord(pipe=0, data=20, model=0): 40, ProcessCoord(pipe=0, data=20, model=1): 41, ProcessCoord(pipe=0, data=21, model=0): 42, ProcessCoord(pipe=0, data=21, model=1): 43, ProcessCoord(pipe=0, data=22, model=0): 44, ProcessCoord(pipe=0, data=22, model=1): 45, ProcessCoord(pipe=0, data=23, model=0): 46, ProcessCoord(pipe=0, data=23, model=1): 47, ProcessCoord(pipe=0, data=24, model=0): 48, ProcessCoord(pipe=0, data=24, model=1): 49, ProcessCoord(pipe=0, data=25, model=0): 50, ProcessCoord(pipe=0, data=25, model=1): 51, ProcessCoord(pipe=0, data=26, model=0): 52, ProcessCoord(pipe=0, data=26, model=1): 53, ProcessCoord(pipe=0, data=27, model=0): 54, ProcessCoord(pipe=0, data=27, model=1): 55, ProcessCoord(pipe=0, data=28, model=0): 56, ProcessCoord(pipe=0, data=28, model=1): 57, ProcessCoord(pipe=0, data=29, model=0): 58, ProcessCoord(pipe=0, data=29, model=1): 59, ProcessCoord(pipe=0, data=30, model=0): 60, ProcessCoord(pipe=0, data=30, model=1): 61, ProcessCoord(pipe=0, data=31, model=0): 62, ProcessCoord(pipe=0, data=31, model=1): 63} +[default0]:[2023-02-16 01:18:59,242] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer +[default0]:stage=0 layers=41 +[default0]: 0: _to_float16 +[default0]: 1: EmbeddingPipe +[default0]: 2: +[default0]: 3: +[default0]: 4: ParallelTransformerLayerPipe +[default0]: 5: ParallelTransformerLayerPipe +[default0]: 6: ParallelTransformerLayerPipe +[default0]: 7: ParallelTransformerLayerPipe +[default0]: 8: ParallelTransformerLayerPipe +[default0]: 9: ParallelTransformerLayerPipe +[default0]: 10: ParallelTransformerLayerPipe +[default0]: 11: ParallelTransformerLayerPipe +[default0]: 12: ParallelTransformerLayerPipe +[default0]: 13: ParallelTransformerLayerPipe +[default0]: 14: ParallelTransformerLayerPipe +[default0]: 15: ParallelTransformerLayerPipe +[default0]: 16: ParallelTransformerLayerPipe +[default0]: 17: ParallelTransformerLayerPipe +[default0]: 18: ParallelTransformerLayerPipe +[default0]: 19: ParallelTransformerLayerPipe +[default0]: 20: ParallelTransformerLayerPipe +[default0]: 21: ParallelTransformerLayerPipe +[default0]: 22: ParallelTransformerLayerPipe +[default0]: 23: ParallelTransformerLayerPipe +[default0]: 24: ParallelTransformerLayerPipe +[default0]: 25: ParallelTransformerLayerPipe +[default0]: 26: ParallelTransformerLayerPipe +[default0]: 27: ParallelTransformerLayerPipe +[default0]: 28: ParallelTransformerLayerPipe +[default0]: 29: ParallelTransformerLayerPipe +[default0]: 30: ParallelTransformerLayerPipe +[default0]: 31: ParallelTransformerLayerPipe +[default0]: 32: ParallelTransformerLayerPipe +[default0]: 33: ParallelTransformerLayerPipe +[default0]: 34: ParallelTransformerLayerPipe +[default0]: 35: ParallelTransformerLayerPipe +[default0]: 36: undo +[default0]: 37: MixedFusedLayerNorm +[default0]: 38: +[default0]: 39: EmbeddingPipe +[default0]: 40: float16_to_fp32 +[default0]: loss: CrossEntropy +[default0]:[2023-02-16 01:18:59,453] [INFO] [utils.py:827:see_memory_usage] After Building Model +[default0]:[2023-02-16 01:18:59,453] [INFO] [utils.py:828:see_memory_usage] MA 2.56 GB Max_MA 2.56 GB CA 2.62 GB Max_CA 3 GB +[default0]:[2023-02-16 01:18:59,454] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 49.54 GB, percent = 9.8% +[default0]:building GPT model ... +[default0]:[2023-02-16 01:18:59,521] [INFO] [utils.py:827:see_memory_usage] Before Building Model +[default0]:[2023-02-16 01:18:59,522] [INFO] [utils.py:828:see_memory_usage] MA 2.56 GB Max_MA 2.56 GB CA 2.62 GB Max_CA 3 GB +[default0]:[2023-02-16 01:18:59,522] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 49.54 GB, percent = 9.8% +[default0]:SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None +[default0]:Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=0, model=1): 1, ProcessCoord(pipe=0, data=1, model=0): 2, ProcessCoord(pipe=0, data=1, model=1): 3, ProcessCoord(pipe=0, data=2, model=0): 4, ProcessCoord(pipe=0, data=2, model=1): 5, ProcessCoord(pipe=0, data=3, model=0): 6, ProcessCoord(pipe=0, data=3, model=1): 7, ProcessCoord(pipe=0, data=4, model=0): 8, ProcessCoord(pipe=0, data=4, model=1): 9, ProcessCoord(pipe=0, data=5, model=0): 10, ProcessCoord(pipe=0, data=5, model=1): 11, ProcessCoord(pipe=0, data=6, model=0): 12, ProcessCoord(pipe=0, data=6, model=1): 13, ProcessCoord(pipe=0, data=7, model=0): 14, ProcessCoord(pipe=0, data=7, model=1): 15, ProcessCoord(pipe=0, data=8, model=0): 16, ProcessCoord(pipe=0, data=8, model=1): 17, ProcessCoord(pipe=0, data=9, model=0): 18, ProcessCoord(pipe=0, data=9, model=1): 19, ProcessCoord(pipe=0, data=10, model=0): 20, ProcessCoord(pipe=0, data=10, model=1): 21, ProcessCoord(pipe=0, data=11, model=0): 22, ProcessCoord(pipe=0, data=11, model=1): 23, ProcessCoord(pipe=0, data=12, model=0): 24, ProcessCoord(pipe=0, data=12, model=1): 25, ProcessCoord(pipe=0, data=13, model=0): 26, ProcessCoord(pipe=0, data=13, model=1): 27, ProcessCoord(pipe=0, data=14, model=0): 28, ProcessCoord(pipe=0, data=14, model=1): 29, ProcessCoord(pipe=0, data=15, model=0): 30, ProcessCoord(pipe=0, data=15, model=1): 31, ProcessCoord(pipe=0, data=16, model=0): 32, ProcessCoord(pipe=0, data=16, model=1): 33, ProcessCoord(pipe=0, data=17, model=0): 34, ProcessCoord(pipe=0, data=17, model=1): 35, ProcessCoord(pipe=0, data=18, model=0): 36, ProcessCoord(pipe=0, data=18, model=1): 37, ProcessCoord(pipe=0, data=19, model=0): 38, ProcessCoord(pipe=0, data=19, model=1): 39, ProcessCoord(pipe=0, data=20, model=0): 40, ProcessCoord(pipe=0, data=20, model=1): 41, ProcessCoord(pipe=0, data=21, model=0): 42, ProcessCoord(pipe=0, data=21, model=1): 43, ProcessCoord(pipe=0, data=22, model=0): 44, ProcessCoord(pipe=0, data=22, model=1): 45, ProcessCoord(pipe=0, data=23, model=0): 46, ProcessCoord(pipe=0, data=23, model=1): 47, ProcessCoord(pipe=0, data=24, model=0): 48, ProcessCoord(pipe=0, data=24, model=1): 49, ProcessCoord(pipe=0, data=25, model=0): 50, ProcessCoord(pipe=0, data=25, model=1): 51, ProcessCoord(pipe=0, data=26, model=0): 52, ProcessCoord(pipe=0, data=26, model=1): 53, ProcessCoord(pipe=0, data=27, model=0): 54, ProcessCoord(pipe=0, data=27, model=1): 55, ProcessCoord(pipe=0, data=28, model=0): 56, ProcessCoord(pipe=0, data=28, model=1): 57, ProcessCoord(pipe=0, data=29, model=0): 58, ProcessCoord(pipe=0, data=29, model=1): 59, ProcessCoord(pipe=0, data=30, model=0): 60, ProcessCoord(pipe=0, data=30, model=1): 61, ProcessCoord(pipe=0, data=31, model=0): 62, ProcessCoord(pipe=0, data=31, model=1): 63} +[default0]:[2023-02-16 01:19:00,830] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer +[default0]:stage=0 layers=41 +[default0]: 0: _to_float16 +[default0]: 1: EmbeddingPipe +[default0]: 2: +[default0]: 3: +[default0]: 4: ParallelTransformerLayerPipe +[default0]: 5: ParallelTransformerLayerPipe +[default0]: 6: ParallelTransformerLayerPipe +[default0]: 7: ParallelTransformerLayerPipe +[default0]: 8: ParallelTransformerLayerPipe +[default0]: 9: ParallelTransformerLayerPipe +[default0]: 10: ParallelTransformerLayerPipe +[default0]: 11: ParallelTransformerLayerPipe +[default0]: 12: ParallelTransformerLayerPipe +[default0]: 13: ParallelTransformerLayerPipe +[default0]: 14: ParallelTransformerLayerPipe +[default0]: 15: ParallelTransformerLayerPipe +[default0]: 16: ParallelTransformerLayerPipe +[default0]: 17: ParallelTransformerLayerPipe +[default0]: 18: ParallelTransformerLayerPipe +[default0]: 19: ParallelTransformerLayerPipe +[default0]: 20: ParallelTransformerLayerPipe +[default0]: 21: ParallelTransformerLayerPipe +[default0]: 22: ParallelTransformerLayerPipe +[default0]: 23: ParallelTransformerLayerPipe +[default0]: 24: ParallelTransformerLayerPipe +[default0]: 25: ParallelTransformerLayerPipe +[default0]: 26: ParallelTransformerLayerPipe +[default0]: 27: ParallelTransformerLayerPipe +[default0]: 28: ParallelTransformerLayerPipe +[default0]: 29: ParallelTransformerLayerPipe +[default0]: 30: ParallelTransformerLayerPipe +[default0]: 31: ParallelTransformerLayerPipe +[default0]: 32: ParallelTransformerLayerPipe +[default0]: 33: ParallelTransformerLayerPipe +[default0]: 34: ParallelTransformerLayerPipe +[default0]: 35: ParallelTransformerLayerPipe +[default0]: 36: undo +[default0]: 37: MixedFusedLayerNorm +[default0]: 38: +[default0]: 39: EmbeddingPipe +[default0]: 40: float16_to_fp32 +[default0]: loss: CrossEntropy +[default0]:[2023-02-16 01:19:00,943] [INFO] [utils.py:827:see_memory_usage] After Building Model +[default0]:[2023-02-16 01:19:00,943] [INFO] [utils.py:828:see_memory_usage] MA 2.57 GB Max_MA 2.57 GB CA 2.63 GB Max_CA 3 GB +[default0]:[2023-02-16 01:19:00,944] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 49.57 GB, percent = 9.9% +[default0]:building GPT model ... +[default0]:[2023-02-16 01:19:01,011] [INFO] [utils.py:827:see_memory_usage] Before Building Model +[default0]:[2023-02-16 01:19:01,011] [INFO] [utils.py:828:see_memory_usage] MA 2.57 GB Max_MA 2.57 GB CA 2.63 GB Max_CA 3 GB +[default0]:[2023-02-16 01:19:01,011] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 49.57 GB, percent = 9.9% +[default0]:SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None +[default0]:Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=0, model=1): 1, ProcessCoord(pipe=0, data=1, model=0): 2, ProcessCoord(pipe=0, data=1, model=1): 3, ProcessCoord(pipe=0, data=2, model=0): 4, ProcessCoord(pipe=0, data=2, model=1): 5, ProcessCoord(pipe=0, data=3, model=0): 6, ProcessCoord(pipe=0, data=3, model=1): 7, ProcessCoord(pipe=0, data=4, model=0): 8, ProcessCoord(pipe=0, data=4, model=1): 9, ProcessCoord(pipe=0, data=5, model=0): 10, ProcessCoord(pipe=0, data=5, model=1): 11, ProcessCoord(pipe=0, data=6, model=0): 12, ProcessCoord(pipe=0, data=6, model=1): 13, ProcessCoord(pipe=0, data=7, model=0): 14, ProcessCoord(pipe=0, data=7, model=1): 15, ProcessCoord(pipe=0, data=8, model=0): 16, ProcessCoord(pipe=0, data=8, model=1): 17, ProcessCoord(pipe=0, data=9, model=0): 18, ProcessCoord(pipe=0, data=9, model=1): 19, ProcessCoord(pipe=0, data=10, model=0): 20, ProcessCoord(pipe=0, data=10, model=1): 21, ProcessCoord(pipe=0, data=11, model=0): 22, ProcessCoord(pipe=0, data=11, model=1): 23, ProcessCoord(pipe=0, data=12, model=0): 24, ProcessCoord(pipe=0, data=12, model=1): 25, ProcessCoord(pipe=0, data=13, model=0): 26, ProcessCoord(pipe=0, data=13, model=1): 27, ProcessCoord(pipe=0, data=14, model=0): 28, ProcessCoord(pipe=0, data=14, model=1): 29, ProcessCoord(pipe=0, data=15, model=0): 30, ProcessCoord(pipe=0, data=15, model=1): 31, ProcessCoord(pipe=0, data=16, model=0): 32, ProcessCoord(pipe=0, data=16, model=1): 33, ProcessCoord(pipe=0, data=17, model=0): 34, ProcessCoord(pipe=0, data=17, model=1): 35, ProcessCoord(pipe=0, data=18, model=0): 36, ProcessCoord(pipe=0, data=18, model=1): 37, ProcessCoord(pipe=0, data=19, model=0): 38, ProcessCoord(pipe=0, data=19, model=1): 39, ProcessCoord(pipe=0, data=20, model=0): 40, ProcessCoord(pipe=0, data=20, model=1): 41, ProcessCoord(pipe=0, data=21, model=0): 42, ProcessCoord(pipe=0, data=21, model=1): 43, ProcessCoord(pipe=0, data=22, model=0): 44, ProcessCoord(pipe=0, data=22, model=1): 45, ProcessCoord(pipe=0, data=23, model=0): 46, ProcessCoord(pipe=0, data=23, model=1): 47, ProcessCoord(pipe=0, data=24, model=0): 48, ProcessCoord(pipe=0, data=24, model=1): 49, ProcessCoord(pipe=0, data=25, model=0): 50, ProcessCoord(pipe=0, data=25, model=1): 51, ProcessCoord(pipe=0, data=26, model=0): 52, ProcessCoord(pipe=0, data=26, model=1): 53, ProcessCoord(pipe=0, data=27, model=0): 54, ProcessCoord(pipe=0, data=27, model=1): 55, ProcessCoord(pipe=0, data=28, model=0): 56, ProcessCoord(pipe=0, data=28, model=1): 57, ProcessCoord(pipe=0, data=29, model=0): 58, ProcessCoord(pipe=0, data=29, model=1): 59, ProcessCoord(pipe=0, data=30, model=0): 60, ProcessCoord(pipe=0, data=30, model=1): 61, ProcessCoord(pipe=0, data=31, model=0): 62, ProcessCoord(pipe=0, data=31, model=1): 63} +[default0]:[2023-02-16 01:19:02,321] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer +[default0]:stage=0 layers=41 +[default0]: 0: _to_float16 +[default0]: 1: EmbeddingPipe +[default0]: 2: +[default0]: 3: +[default0]: 4: ParallelTransformerLayerPipe +[default0]: 5: ParallelTransformerLayerPipe +[default0]: 6: ParallelTransformerLayerPipe +[default0]: 7: ParallelTransformerLayerPipe +[default0]: 8: ParallelTransformerLayerPipe +[default0]: 9: ParallelTransformerLayerPipe +[default0]: 10: ParallelTransformerLayerPipe +[default0]: 11: ParallelTransformerLayerPipe +[default0]: 12: ParallelTransformerLayerPipe +[default0]: 13: ParallelTransformerLayerPipe +[default0]: 14: ParallelTransformerLayerPipe +[default0]: 15: ParallelTransformerLayerPipe +[default0]: 16: ParallelTransformerLayerPipe +[default0]: 17: ParallelTransformerLayerPipe +[default0]: 18: ParallelTransformerLayerPipe +[default0]: 19: ParallelTransformerLayerPipe +[default0]: 20: ParallelTransformerLayerPipe +[default0]: 21: ParallelTransformerLayerPipe +[default0]: 22: ParallelTransformerLayerPipe +[default0]: 23: ParallelTransformerLayerPipe +[default0]: 24: ParallelTransformerLayerPipe +[default0]: 25: ParallelTransformerLayerPipe +[default0]: 26: ParallelTransformerLayerPipe +[default0]: 27: ParallelTransformerLayerPipe +[default0]: 28: ParallelTransformerLayerPipe +[default0]: 29: ParallelTransformerLayerPipe +[default0]: 30: ParallelTransformerLayerPipe +[default0]: 31: ParallelTransformerLayerPipe +[default0]: 32: ParallelTransformerLayerPipe +[default0]: 33: ParallelTransformerLayerPipe +[default0]: 34: ParallelTransformerLayerPipe +[default0]: 35: ParallelTransformerLayerPipe +[default0]: 36: undo +[default0]: 37: MixedFusedLayerNorm +[default0]: 38: +[default0]: 39: EmbeddingPipe +[default0]: 40: float16_to_fp32 +[default0]: loss: CrossEntropy +[default0]:[2023-02-16 01:19:02,454] [INFO] [utils.py:827:see_memory_usage] After Building Model +[default0]:[2023-02-16 01:19:02,454] [INFO] [utils.py:828:see_memory_usage] MA 2.59 GB Max_MA 2.59 GB CA 2.66 GB Max_CA 3 GB +[default0]:[2023-02-16 01:19:02,455] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 49.58 GB, percent = 9.9% +[default0]:setting training iterations to 3814 +[default0]:> learning rate decay style: cosine +[default0]:DeepSpeed is enabled. +[default0]:[2023-02-16 01:19:02,490] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.2+2a644488, git-hash=2a644488, git-branch=master +[default0]:[2023-02-16 01:19:04,196] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False +[default0]:[2023-02-16 01:19:04,197] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer +[default0]:[2023-02-16 01:19:04,197] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer +[default0]:[2023-02-16 01:19:04,215] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = {basic_optimizer.__class__.__name__} +[default0]:[2023-02-16 01:19:04,215] [INFO] [utils.py:52:is_zero_supported_optimizer] Checking ZeRO support for optimizer=FusedAdam type= +[default0]:[2023-02-16 01:19:04,215] [INFO] [logging.py:68:log_dist] [Rank 0] Creating fp16 ZeRO stage 1 optimizer +[default0]:[2023-02-16 01:19:04,215] [INFO] [stage_1_and_2.py:134:__init__] Reduce bucket size 500000000 +[default0]:[2023-02-16 01:19:04,215] [INFO] [stage_1_and_2.py:135:__init__] Allgather bucket size 500000000 +[default0]:[2023-02-16 01:19:04,215] [INFO] [stage_1_and_2.py:136:__init__] CPU Offload: False +[default0]:[2023-02-16 01:19:04,215] [INFO] [stage_1_and_2.py:137:__init__] Round robin gradient partitioning: False +[default1]:Rank: 17 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 23 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 27 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 2 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 3 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 18 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 31 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 54 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 4 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 46 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 8 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 53 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 44 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 51 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 32 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 29 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default1]:Rank: 57 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 15 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 30 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 28 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 19 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 16 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 22 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 5 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 26 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 50 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 56 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 62 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 55 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 38 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 7 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 6 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 0 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 39 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 52 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 48 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 13 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 12 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 60 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 37 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default1]:Rank: 1 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default1]:Rank: 41 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default1]:Rank: 49 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default1]:Rank: 25 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 24 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:Rank: 40 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 42 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 43 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 47 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 45 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default7]:Rank: 63 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 59 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 58 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default1]:Rank: 33 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 61 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 35 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 10 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default2]:Rank: 34 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default6]:Rank: 14 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default1]:Rank: 9 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default3]:Rank: 11 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 36 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default4]:Rank: 20 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default5]:Rank: 21 partition count [32, 32, 32, 32, 32, 32] and sizes[(4915200, False), (14336000, False), (2048000, False), (15155200, False), (4915200, False), (24640, False)] +[default0]:[2023-02-16 01:19:10,428] [INFO] [utils.py:827:see_memory_usage] Before initializing optimizer states +[default0]:[2023-02-16 01:19:10,428] [INFO] [utils.py:828:see_memory_usage] MA 2.66 GB Max_MA 2.69 GB CA 5.17 GB Max_CA 5 GB +[default0]:[2023-02-16 01:19:10,428] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 64.68 GB, percent = 12.9% +[default0]:[2023-02-16 01:19:10,539] [INFO] [utils.py:827:see_memory_usage] After initializing optimizer states +[default0]:[2023-02-16 01:19:10,539] [INFO] [utils.py:828:see_memory_usage] MA 2.96 GB Max_MA 3.12 GB CA 5.5 GB Max_CA 6 GB +[default0]:[2023-02-16 01:19:10,539] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 64.68 GB, percent = 12.9% +[default0]:[2023-02-16 01:19:10,539] [INFO] [stage_1_and_2.py:516:__init__] optimizer state initialized +[default0]:[2023-02-16 01:19:10,604] [INFO] [utils.py:827:see_memory_usage] After initializing ZeRO optimizer +[default0]:[2023-02-16 01:19:10,604] [INFO] [utils.py:828:see_memory_usage] MA 2.96 GB Max_MA 2.96 GB CA 5.5 GB Max_CA 6 GB +[default0]:[2023-02-16 01:19:10,604] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 64.68 GB, percent = 12.9% +[default0]:[2023-02-16 01:19:10,605] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam +[default0]:[2023-02-16 01:19:10,605] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler +[default0]:[2023-02-16 01:19:10,605] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = +[default0]:[2023-02-16 01:19:10,605] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0, 0.0, 0.0, 0.0], mom=[(0.9, 0.95), (0.9, 0.95), (0.9, 0.95), (0.9, 0.95), (0.9, 0.95), (0.9, 0.95)] +[default0]:[2023-02-16 01:19:10,605] [INFO] [config.py:987:print] DeepSpeedEngine configuration: +[default0]:[2023-02-16 01:19:10,605] [INFO] [config.py:991:print] activation_checkpointing_config { +[default0]: "partition_activations": false, +[default0]: "contiguous_memory_optimization": false, +[default0]: "cpu_checkpointing": false, +[default0]: "number_checkpoints": null, +[default0]: "synchronize_checkpoint_boundary": false, +[default0]: "profile": false +[default0]:} +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] amp_enabled .................. False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] amp_params ................... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] autotuning_config ............ { +[default0]: "enabled": false, +[default0]: "start_step": null, +[default0]: "end_step": null, +[default0]: "metric_path": null, +[default0]: "arg_mappings": null, +[default0]: "metric": "throughput", +[default0]: "model_info": null, +[default0]: "results_dir": null, +[default0]: "exps_dir": null, +[default0]: "overwrite": true, +[default0]: "fast": true, +[default0]: "start_profile_step": 3, +[default0]: "end_profile_step": 5, +[default0]: "tuner_type": "gridsearch", +[default0]: "tuner_early_stopping": 5, +[default0]: "tuner_num_trials": 50, +[default0]: "model_info_path": null, +[default0]: "mp_size": 1, +[default0]: "max_train_batch_size": null, +[default0]: "min_train_batch_size": 1, +[default0]: "max_train_micro_batch_size_per_gpu": 1.024000e+03, +[default0]: "min_train_micro_batch_size_per_gpu": 1, +[default0]: "num_tuning_micro_batch_sizes": 3 +[default0]:} +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] bfloat16_enabled ............. False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] checkpoint_tag_validation_enabled True +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] checkpoint_tag_validation_fail False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] comms_config ................. +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] communication_data_type ...... None +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991: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_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] curriculum_enabled ........... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] curriculum_params ............ False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] dataloader_drop_last ......... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] disable_allgather ............ False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] dump_state ................... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] dynamic_loss_scale_args ...... {'init_scale': 4096, 'scale_window': 500, 'delayed_shift': 2, 'min_scale': 1} +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_enabled ........... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_gas_boundary_resolution 1 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_layer_name ........ bert.encoder.layer +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_layer_num ......... 0 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_max_iter .......... 100 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_stability ......... 1e-06 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_tol ............... 0.01 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] eigenvalue_verbose ........... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] elasticity_enabled ........... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] flops_profiler_config ........ { +[default0]: "enabled": false, +[default0]: "profile_step": 1, +[default0]: "module_depth": -1, +[default0]: "top_modules": 1, +[default0]: "detailed": true, +[default0]: "output_file": null +[default0]:} +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] fp16_auto_cast ............... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] fp16_enabled ................. True +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] fp16_master_weights_and_gradients False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] global_rank .................. 0 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] gradient_accumulation_steps .. 1 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] gradient_clipping ............ 1.0 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] gradient_predivide_factor .... 1.0 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] initial_dynamic_scale ........ 4096 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] load_universal_checkpoint .... False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] loss_scale ................... 0 +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] memory_breakdown ............. False +[default0]:[2023-02-16 01:19:10,606] [INFO] [config.py:991:print] monitor_config ............... +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] nebula_config ................ { +[default0]: "enabled": false, +[default0]: "persistent_storage_path": null, +[default0]: "persistent_time_interval": 100, +[default0]: "num_of_version_in_retention": 2, +[default0]: "enable_nebula_load": true, +[default0]: "load_path": null +[default0]:} +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] optimizer_legacy_fusion ...... False +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] optimizer_name ............... None +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] optimizer_params ............. None +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] pld_enabled .................. False +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] pld_params ................... False +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] prescale_gradients ........... False +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] scheduler_name ............... None +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] scheduler_params ............. None +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] sparse_attention ............. None +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] sparse_gradients_enabled ..... False +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] steps_per_print .............. 2000 +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] train_batch_size ............. 512 +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] train_micro_batch_size_per_gpu 16 +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] wall_clock_breakdown ......... False +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] world_size ................... 32 +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] zero_allow_untested_optimizer False +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] zero_config .................. stage=1 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 +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] zero_enabled ................. True +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:991:print] zero_optimization_stage ...... 1 +[default0]:[2023-02-16 01:19:10,607] [INFO] [config.py:976:print_user_config] json = { +[default0]: "train_micro_batch_size_per_gpu": 16, +[default0]: "train_batch_size": 512, +[default0]: "gradient_clipping": 1.0, +[default0]: "zero_optimization": { +[default0]: "stage": 1 +[default0]: }, +[default0]: "fp16": { +[default0]: "enabled": true, +[default0]: "loss_scale": 0, +[default0]: "loss_scale_window": 500, +[default0]: "hysteresis": 2, +[default0]: "min_loss_scale": 1, +[default0]: "initial_scale_power": 12 +[default0]: }, +[default0]: "steps_per_print": 2.000000e+03, +[default0]: "wall_clock_breakdown": false +[default0]:} +[default0]:[2023-02-16 01:19:10,607] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=16 +[default1]:[2023-02-16 01:19:10,875] [INFO] [engine.py:145:__init__] RANK=1 STAGE=0 LAYERS=41 [0, 41) STAGE_PARAMS=1324615680 (1324.616M) TOTAL_PARAMS=2649231360 (2649.231M) UNIQUE_PARAMS=2649231360 (2649.231M) +[default7]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default4]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default5]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default5]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default4]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default4]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default5]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default5]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,875] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=41 [0, 41) STAGE_PARAMS=1324615680 (1324.616M) TOTAL_PARAMS=2649231360 (2649.231M) UNIQUE_PARAMS=2649231360 (2649.231M) +[default0]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:WARNING: could not find the metadata file /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main +[default0]: will not load any checkpoints and will start from random +[default4]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default5]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default4]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default4]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default5]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default4]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default1]:[2023-02-16 01:19:10,897] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,891] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,899] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default2]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default3]:[2023-02-16 01:19:10,898] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default5]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default4]:[2023-02-16 01:19:10,900] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default7]:time (ms) | load-checkpoint: 11.64 +[default5]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default6]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:[2023-02-16 01:19:10,901] [WARNING] [engine.py:2574:load_checkpoint] Unable to find latest file at /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. +[default0]:/gpfsdswork/projects/rech/ajs/commun/code/Megatron-DeepSpeed/megatron/utils.py:349: UserWarning: Parameter count with the embeddings will be inaccurate with PP > 1, as the first and last stage hold several copies of the embeddings +[default0]: warnings.warn("Parameter count with the embeddings will be inaccurate with PP > 1, as the first and last stage hold several copies of the embeddings") +[default0]:estimated model parameters: 2.64923136 +[default0]:estimated model parameters without embeddings: 2.51815936 +[default0]:[after model, optimizer, and learning rate scheduler are built] datetime: 2023-02-16 01:19:11 +[default0]:> building train, validation, and test datasets ... +[default0]: > datasets target sizes (minimum size): +[default0]: train: 1953125 +[default0]: validation: 2048 +[default0]: test: 512 +[default0]:> building train, validation, and test datasets for GPT ... +[default0]: > building dataset index ... +[default0]: reading sizes... +[default0]: reading pointers... +[default0]: reading document index... +[default0]: creating numpy buffer of mmap... +[default0]: creating memory view of numpy buffer... +[default0]: > finished creating indexed dataset in 0.023882 seconds +[default0]: number of documents: 364868892 +[default0]: > dataset split: +[default0]: train: +[default0]: document indices in [0, 353557956) total of 353557956 documents +[default0]: validation: +[default0]: document indices in [353557956, 364504023) total of 10946067 documents +[default0]: test: +[default0]: document indices in [364504023, 364868892) total of 364869 documents +[default0]: > loading doc-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_train_indexmap_1953125ns_2048sl_42s_doc_idx.npy +[default0]: > loading sample-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_train_indexmap_1953125ns_2048sl_42s_sample_idx.npy +[default0]: > loading shuffle-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_train_indexmap_1953125ns_2048sl_42s_shuffle_idx.npy +[default0]: loaded indexed file in 0.038 seconds +[default0]: total number of samples: 82627993 +[default0]: total number of epochs: 1 +[default0]: > loading doc-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_valid_indexmap_2048ns_2048sl_42s_doc_idx.npy +[default0]: > loading sample-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_valid_indexmap_2048ns_2048sl_42s_sample_idx.npy +[default0]: > loading shuffle-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_valid_indexmap_2048ns_2048sl_42s_shuffle_idx.npy +[default0]: loaded indexed file in 0.039 seconds +[default0]: total number of samples: 2558380 +[default0]: total number of epochs: 1 +[default0]: > loading doc-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_test_indexmap_512ns_2048sl_42s_doc_idx.npy +[default0]: > loading sample-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_test_indexmap_512ns_2048sl_42s_sample_idx.npy +[default0]: > loading shuffle-idx mapping from /gpfsscratch/rech/ajs/commun/datasets/c4/gpt2tok_c4_text_document_test_indexmap_512ns_2048sl_42s_shuffle_idx.npy +[default0]: loaded indexed file in 0.008 seconds +[default0]: total number of samples: 84955 +[default0]: total number of epochs: 1 +[default0]:> finished creating GPT datasets ... +[default7]:time (ms) | model-and-optimizer-setup: 13254.25 | train/valid/test-data-iterators-setup: 7447.68 +[default0]:[after dataloaders are built] datetime: 2023-02-16 01:19:21 +[default0]:done with setup ... +[default0]:training ... +[default0]:Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: +[default0]:[000-000] 2.6492B / 2.5182B +[default0]:[before the start of training step] datetime: 2023-02-16 01:19:21 +[default1]:[001-000] 2.6492B / 2.5182B +[default0]:[2023-02-16 01:19:21,175] [INFO] [checkpointing.py:547:forward] Activation Checkpointing Information +[default0]:[2023-02-16 01:19:21,175] [INFO] [checkpointing.py:548:forward] ----Partition Activations False, CPU CHECKPOINTING False +[default0]:[2023-02-16 01:19:21,175] [INFO] [checkpointing.py:551:forward] ----contiguous Memory Checkpointing False with 32 total layers +[default0]:[2023-02-16 01:19:21,175] [INFO] [checkpointing.py:554:forward] ----Synchronization False +[default0]:[2023-02-16 01:19:21,175] [INFO] [checkpointing.py:555:forward] ----Profiling time in checkpointing False +[default0]:[Rank 0] (after 1 iterations) memory (MB) | allocated: 6240.66552734375 | max allocated: 20946.41015625 | reserved: 24996.0 | max reserved: 24996.0 +[default1]:[Rank 1] (after 1 iterations) memory (MB) | allocated: 6264.68505859375 | max allocated: 20970.4296875 | reserved: 24998.0 | max reserved: 24998.0 +[default7]: iteration 1/ 3814 | consumed samples: 512 | consumed tokens: 1048576 | elapsed time per iteration (s): 6.34 | learning rate: 8.389E-06 | global batch size: 512 | lm loss: 1.084328E+01 | loss scale: 4096.0 | grad norm: 0.096 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 80.741 | TFLOPs: 60.98 | +[default7]: iteration 2/ 3814 | consumed samples: 1024 | consumed tokens: 2097152 | elapsed time per iteration (s): 5.52 | learning rate: 1.678E-05 | global batch size: 512 | lm loss: 1.084320E+01 | loss scale: 4096.0 | grad norm: 0.096 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.829 | TFLOPs: 70.11 | +[default7]: iteration 3/ 3814 | consumed samples: 1536 | consumed tokens: 3145728 | elapsed time per iteration (s): 5.48 | learning rate: 2.517E-05 | global batch size: 512 | lm loss: 1.083969E+01 | loss scale: 4096.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.509 | TFLOPs: 70.63 | +[default7]: iteration 4/ 3814 | consumed samples: 2048 | consumed tokens: 4194304 | elapsed time per iteration (s): 5.46 | learning rate: 3.355E-05 | global batch size: 512 | lm loss: 1.081892E+01 | loss scale: 4096.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.696 | TFLOPs: 70.77 | +[default7]: iteration 5/ 3814 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 5.46 | learning rate: 4.194E-05 | global batch size: 512 | lm loss: 1.080079E+01 | loss scale: 4096.0 | grad norm: 0.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.763 | TFLOPs: 70.82 | +[default7]: iteration 6/ 3814 | consumed samples: 3072 | consumed tokens: 6291456 | elapsed time per iteration (s): 5.46 | learning rate: 5.033E-05 | global batch size: 512 | lm loss: 1.078965E+01 | loss scale: 4096.0 | grad norm: 0.040 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.705 | TFLOPs: 70.78 | +[default7]: iteration 7/ 3814 | consumed samples: 3584 | consumed tokens: 7340032 | elapsed time per iteration (s): 5.46 | learning rate: 5.872E-05 | global batch size: 512 | lm loss: 1.077799E+01 | loss scale: 4096.0 | grad norm: 0.032 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.826 | TFLOPs: 70.87 | +[default7]: iteration 8/ 3814 | consumed samples: 4096 | consumed tokens: 8388608 | elapsed time per iteration (s): 5.47 | learning rate: 6.711E-05 | global batch size: 512 | lm loss: 1.076766E+01 | loss scale: 4096.0 | grad norm: 0.027 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.575 | TFLOPs: 70.68 | +[default7]: iteration 9/ 3814 | consumed samples: 4608 | consumed tokens: 9437184 | elapsed time per iteration (s): 5.45 | learning rate: 7.550E-05 | global batch size: 512 | lm loss: 1.075900E+01 | loss scale: 4096.0 | grad norm: 0.023 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.876 | TFLOPs: 70.91 | +[default7]: iteration 10/ 3814 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 5.45 | learning rate: 8.389E-05 | global batch size: 512 | lm loss: 1.074934E+01 | loss scale: 4096.0 | grad norm: 0.021 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.936 | TFLOPs: 70.95 | +[default7]: iteration 11/ 3814 | consumed samples: 5632 | consumed tokens: 11534336 | elapsed time per iteration (s): 5.47 | learning rate: 9.227E-05 | global batch size: 512 | lm loss: 1.074090E+01 | loss scale: 4096.0 | grad norm: 0.020 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.601 | TFLOPs: 70.70 | +[default7]: iteration 12/ 3814 | consumed samples: 6144 | consumed tokens: 12582912 | elapsed time per iteration (s): 5.46 | learning rate: 1.007E-04 | global batch size: 512 | lm loss: 1.073304E+01 | loss scale: 4096.0 | grad norm: 0.019 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.711 | TFLOPs: 70.78 | +[default7]: iteration 13/ 3814 | consumed samples: 6656 | consumed tokens: 13631488 | elapsed time per iteration (s): 5.45 | learning rate: 1.091E-04 | global batch size: 512 | lm loss: 1.072460E+01 | loss scale: 4096.0 | grad norm: 0.018 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.966 | TFLOPs: 70.97 | +[default7]: iteration 14/ 3814 | consumed samples: 7168 | consumed tokens: 14680064 | elapsed time per iteration (s): 5.44 | learning rate: 1.174E-04 | global batch size: 512 | lm loss: 1.071395E+01 | loss scale: 4096.0 | grad norm: 0.018 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.039 | TFLOPs: 71.03 | +[default7]: iteration 15/ 3814 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 5.45 | learning rate: 1.258E-04 | global batch size: 512 | lm loss: 1.070386E+01 | loss scale: 4096.0 | grad norm: 0.018 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.968 | TFLOPs: 70.97 | +[default7]: iteration 16/ 3814 | consumed samples: 8192 | consumed tokens: 16777216 | elapsed time per iteration (s): 5.44 | learning rate: 1.342E-04 | global batch size: 512 | lm loss: 1.069131E+01 | loss scale: 4096.0 | grad norm: 0.018 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.193 | TFLOPs: 71.15 | +[default7]: iteration 17/ 3814 | consumed samples: 8704 | consumed tokens: 17825792 | elapsed time per iteration (s): 5.46 | learning rate: 1.426E-04 | global batch size: 512 | lm loss: 1.067754E+01 | loss scale: 4096.0 | grad norm: 0.018 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.845 | TFLOPs: 70.88 | +[default7]: iteration 18/ 3814 | consumed samples: 9216 | consumed tokens: 18874368 | elapsed time per iteration (s): 5.44 | learning rate: 1.510E-04 | global batch size: 512 | lm loss: 1.066316E+01 | loss scale: 4096.0 | grad norm: 0.018 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.150 | TFLOPs: 71.11 | +[default7]: iteration 19/ 3814 | consumed samples: 9728 | consumed tokens: 19922944 | elapsed time per iteration (s): 5.45 | learning rate: 1.594E-04 | global batch size: 512 | lm loss: 1.064786E+01 | loss scale: 4096.0 | grad norm: 0.018 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.997 | TFLOPs: 71.00 | +[default7]: iteration 20/ 3814 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 5.45 | learning rate: 1.678E-04 | global batch size: 512 | lm loss: 1.062990E+01 | loss scale: 4096.0 | grad norm: 0.019 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.001 | TFLOPs: 71.00 | +[default7]: iteration 21/ 3814 | consumed samples: 10752 | consumed tokens: 22020096 | elapsed time per iteration (s): 5.45 | learning rate: 1.762E-04 | global batch size: 512 | lm loss: 1.061201E+01 | loss scale: 4096.0 | grad norm: 0.019 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.986 | TFLOPs: 70.99 | +[default7]: iteration 22/ 3814 | consumed samples: 11264 | consumed tokens: 23068672 | elapsed time per iteration (s): 5.42 | learning rate: 1.845E-04 | global batch size: 512 | lm loss: 1.059249E+01 | loss scale: 4096.0 | grad norm: 0.019 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.411 | TFLOPs: 71.31 | +[default7]: iteration 23/ 3814 | consumed samples: 11776 | consumed tokens: 24117248 | elapsed time per iteration (s): 5.44 | learning rate: 1.929E-04 | global batch size: 512 | lm loss: 1.057136E+01 | loss scale: 4096.0 | grad norm: 0.019 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.033 | TFLOPs: 71.02 | +[default7]: iteration 24/ 3814 | consumed samples: 12288 | consumed tokens: 25165824 | elapsed time per iteration (s): 5.44 | learning rate: 2.013E-04 | global batch size: 512 | lm loss: 1.054761E+01 | loss scale: 4096.0 | grad norm: 0.019 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.060 | TFLOPs: 71.04 | +[default7]: iteration 25/ 3814 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 5.42 | learning rate: 2.097E-04 | global batch size: 512 | lm loss: 1.052541E+01 | loss scale: 4096.0 | grad norm: 0.020 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.487 | TFLOPs: 71.37 | +[default7]: iteration 26/ 3814 | consumed samples: 13312 | consumed tokens: 27262976 | elapsed time per iteration (s): 5.43 | learning rate: 2.181E-04 | global batch size: 512 | lm loss: 1.049934E+01 | loss scale: 4096.0 | grad norm: 0.020 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.330 | TFLOPs: 71.25 | +[default7]: iteration 27/ 3814 | consumed samples: 13824 | consumed tokens: 28311552 | elapsed time per iteration (s): 5.44 | learning rate: 2.265E-04 | global batch size: 512 | lm loss: 1.047308E+01 | loss scale: 4096.0 | grad norm: 0.020 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.173 | TFLOPs: 71.13 | +[default7]: iteration 28/ 3814 | consumed samples: 14336 | consumed tokens: 29360128 | elapsed time per iteration (s): 5.41 | learning rate: 2.349E-04 | global batch size: 512 | lm loss: 1.044816E+01 | loss scale: 4096.0 | grad norm: 0.021 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.609 | TFLOPs: 71.46 | +[default7]: iteration 29/ 3814 | consumed samples: 14848 | consumed tokens: 30408704 | elapsed time per iteration (s): 5.43 | learning rate: 2.433E-04 | global batch size: 512 | lm loss: 1.041744E+01 | loss scale: 4096.0 | grad norm: 0.021 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.205 | TFLOPs: 71.15 | +[default7]: iteration 30/ 3814 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 5.43 | learning rate: 2.517E-04 | global batch size: 512 | lm loss: 1.038621E+01 | loss scale: 4096.0 | grad norm: 0.022 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.234 | TFLOPs: 71.18 | +[default7]: iteration 31/ 3814 | consumed samples: 15872 | consumed tokens: 32505856 | elapsed time per iteration (s): 5.44 | learning rate: 2.600E-04 | global batch size: 512 | lm loss: 1.035464E+01 | loss scale: 4096.0 | grad norm: 0.022 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.048 | TFLOPs: 71.04 | +[default7]: iteration 32/ 3814 | consumed samples: 16384 | consumed tokens: 33554432 | elapsed time per iteration (s): 5.45 | learning rate: 2.684E-04 | global batch size: 512 | lm loss: 1.032083E+01 | loss scale: 4096.0 | grad norm: 0.023 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.028 | TFLOPs: 71.02 | +[default7]: iteration 33/ 3814 | consumed samples: 16896 | consumed tokens: 34603008 | elapsed time per iteration (s): 5.44 | learning rate: 2.768E-04 | global batch size: 512 | lm loss: 1.028704E+01 | loss scale: 4096.0 | grad norm: 0.023 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.140 | TFLOPs: 71.11 | +[default7]: iteration 34/ 3814 | consumed samples: 17408 | consumed tokens: 35651584 | elapsed time per iteration (s): 5.44 | learning rate: 2.852E-04 | global batch size: 512 | lm loss: 1.025454E+01 | loss scale: 4096.0 | grad norm: 0.024 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.203 | TFLOPs: 71.15 | +[default7]: iteration 35/ 3814 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 5.44 | learning rate: 2.936E-04 | global batch size: 512 | lm loss: 1.021488E+01 | loss scale: 4096.0 | grad norm: 0.024 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.176 | TFLOPs: 71.13 | +[default7]: iteration 36/ 3814 | consumed samples: 18432 | consumed tokens: 37748736 | elapsed time per iteration (s): 5.44 | learning rate: 3.020E-04 | global batch size: 512 | lm loss: 1.017675E+01 | loss scale: 4096.0 | grad norm: 0.025 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.177 | TFLOPs: 71.13 | +[default7]: iteration 37/ 3814 | consumed samples: 18944 | consumed tokens: 38797312 | elapsed time per iteration (s): 5.42 | learning rate: 3.104E-04 | global batch size: 512 | lm loss: 1.013632E+01 | loss scale: 4096.0 | grad norm: 0.025 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.516 | TFLOPs: 71.39 | +[default7]: iteration 38/ 3814 | consumed samples: 19456 | consumed tokens: 39845888 | elapsed time per iteration (s): 5.42 | learning rate: 3.188E-04 | global batch size: 512 | lm loss: 1.009250E+01 | loss scale: 4096.0 | grad norm: 0.026 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.408 | TFLOPs: 71.31 | +[default7]: iteration 39/ 3814 | consumed samples: 19968 | consumed tokens: 40894464 | elapsed time per iteration (s): 5.43 | learning rate: 3.272E-04 | global batch size: 512 | lm loss: 1.005201E+01 | loss scale: 4096.0 | grad norm: 0.027 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.308 | TFLOPs: 71.23 | +[default7]: iteration 40/ 3814 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 5.42 | learning rate: 3.355E-04 | global batch size: 512 | lm loss: 1.000813E+01 | loss scale: 4096.0 | grad norm: 0.027 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.475 | TFLOPs: 71.36 | +[default7]: iteration 41/ 3814 | consumed samples: 20992 | consumed tokens: 42991616 | elapsed time per iteration (s): 5.44 | learning rate: 3.439E-04 | global batch size: 512 | lm loss: 9.958450E+00 | loss scale: 4096.0 | grad 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| loss scale: 4096.0 | grad norm: 0.036 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.386 | TFLOPs: 71.29 | +[default7]: iteration 61/ 3814 | consumed samples: 31232 | consumed tokens: 63963136 | elapsed time per iteration (s): 5.42 | learning rate: 5.117E-04 | global batch size: 512 | lm loss: 8.873501E+00 | loss scale: 4096.0 | grad norm: 0.036 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.412 | TFLOPs: 71.31 | +[default7]: iteration 62/ 3814 | consumed samples: 31744 | consumed tokens: 65011712 | elapsed time per iteration (s): 5.43 | learning rate: 5.201E-04 | global batch size: 512 | lm loss: 8.821809E+00 | loss scale: 4096.0 | grad norm: 0.037 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.205 | TFLOPs: 71.15 | +[default7]: iteration 63/ 3814 | consumed samples: 32256 | consumed tokens: 66060288 | 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| TFLOPs: 71.24 | +[default7]: iteration 66/ 3814 | consumed samples: 33792 | consumed tokens: 69206016 | elapsed time per iteration (s): 5.41 | learning rate: 5.536E-04 | global batch size: 512 | lm loss: 8.595524E+00 | loss scale: 4096.0 | grad norm: 0.035 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.596 | TFLOPs: 71.45 | +[default7]: iteration 67/ 3814 | consumed samples: 34304 | consumed tokens: 70254592 | elapsed time per iteration (s): 5.42 | learning rate: 5.620E-04 | global batch size: 512 | lm loss: 8.530134E+00 | loss scale: 4096.0 | grad norm: 0.034 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.406 | TFLOPs: 71.31 | +[default7]: iteration 68/ 3814 | consumed samples: 34816 | consumed tokens: 71303168 | elapsed time per iteration (s): 5.43 | learning rate: 5.704E-04 | global batch size: 512 | lm loss: 8.474283E+00 | loss scale: 4096.0 | grad norm: 0.035 | 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3814 | consumed samples: 37888 | consumed tokens: 77594624 | elapsed time per iteration (s): 5.42 | learning rate: 6.208E-04 | global batch size: 512 | lm loss: 8.168673E+00 | loss scale: 4096.0 | grad norm: 0.030 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.541 | TFLOPs: 71.41 | +[default7]: iteration 75/ 3814 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 5.42 | learning rate: 6.291E-04 | global batch size: 512 | lm loss: 8.100413E+00 | loss scale: 4096.0 | grad norm: 0.030 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.391 | TFLOPs: 71.29 | +[default7]: iteration 76/ 3814 | consumed samples: 38912 | consumed tokens: 79691776 | elapsed time per iteration (s): 5.44 | learning rate: 6.375E-04 | global batch size: 512 | lm loss: 8.071681E+00 | loss scale: 4096.0 | grad norm: 0.029 | num zeros: 0.0 | number of skipped iterations: 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global batch size: 512 | lm loss: 6.922756E+00 | loss scale: 4096.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.462 | TFLOPs: 71.35 | +[default7]: iteration 220/ 3814 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 5.43 | learning rate: 1.845E-03 | global batch size: 512 | lm loss: 6.939952E+00 | loss scale: 4096.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.292 | TFLOPs: 71.22 | +[default7]: iteration 221/ 3814 | consumed samples: 113152 | consumed tokens: 231735296 | elapsed time per iteration (s): 5.44 | learning rate: 1.854E-03 | global batch size: 512 | lm loss: 7.005894E+00 | loss scale: 4096.0 | grad norm: 0.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.128 | TFLOPs: 71.10 | +[default7]: iteration 222/ 3814 | 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| global batch size: 512 | lm loss: 5.739870E+00 | loss scale: 8192.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.521 | TFLOPs: 71.39 | +[default7]: iteration 620/ 3814 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 5.42 | learning rate: 2.962E-03 | global batch size: 512 | lm loss: 5.700136E+00 | loss scale: 8192.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.451 | TFLOPs: 71.34 | +[default7]: iteration 621/ 3814 | consumed samples: 317952 | consumed tokens: 651165696 | elapsed time per iteration (s): 5.43 | learning rate: 2.962E-03 | global batch size: 512 | lm loss: 5.698818E+00 | loss scale: 8192.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 94.351 | TFLOPs: 71.26 | +[default7]: iteration 622/ 3814 | 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iteration (s): 5.49 | learning rate: 2.927E-03 | global batch size: 512 | lm loss: 4.956588E+00 | loss scale: 8192.0 | grad norm: 0.066 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.341 | TFLOPs: 70.50 | +[default7]: iteration 722/ 3814 | consumed samples: 369664 | consumed tokens: 757071872 | elapsed time per iteration (s): 5.48 | learning rate: 2.927E-03 | global batch size: 512 | lm loss: 4.965486E+00 | loss scale: 8192.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.428 | TFLOPs: 70.57 | +[default7]: iteration 723/ 3814 | consumed samples: 370176 | consumed tokens: 758120448 | elapsed time per iteration (s): 5.49 | learning rate: 2.926E-03 | global batch size: 512 | lm loss: 4.945313E+00 | loss scale: 8192.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.321 | TFLOPs: 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learning rate: 2.924E-03 | global batch size: 512 | lm loss: 4.872990E+00 | loss scale: 8192.0 | grad norm: 0.037 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.400 | TFLOPs: 70.55 | +[default7]: iteration 730/ 3814 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 5.47 | learning rate: 2.923E-03 | global batch size: 512 | lm loss: 4.874598E+00 | loss scale: 8192.0 | grad norm: 0.029 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.569 | TFLOPs: 70.67 | +[default7]: iteration 731/ 3814 | consumed samples: 374272 | consumed tokens: 766509056 | elapsed time per iteration (s): 5.46 | learning rate: 2.923E-03 | global batch size: 512 | lm loss: 4.855471E+00 | loss scale: 8192.0 | grad norm: 0.028 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.749 | TFLOPs: 70.81 | +[default7]: 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| global batch size: 512 | lm loss: 4.806752E+00 | loss scale: 8192.0 | grad norm: 0.037 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.707 | TFLOPs: 70.78 | +[default7]: iteration 738/ 3814 | consumed samples: 377856 | consumed tokens: 773849088 | elapsed time per iteration (s): 5.47 | learning rate: 2.920E-03 | global batch size: 512 | lm loss: 4.840440E+00 | loss scale: 8192.0 | grad norm: 0.059 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.587 | TFLOPs: 70.69 | +[default7]: iteration 739/ 3814 | consumed samples: 378368 | consumed tokens: 774897664 | elapsed time per iteration (s): 5.47 | learning rate: 2.920E-03 | global batch size: 512 | lm loss: 4.846049E+00 | loss scale: 8192.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.570 | TFLOPs: 70.67 | +[default7]: iteration 740/ 3814 | 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scale: 8192.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.708 | TFLOPs: 70.78 | +[default7]: iteration 756/ 3814 | consumed samples: 387072 | consumed tokens: 792723456 | elapsed time per iteration (s): 5.46 | learning rate: 2.912E-03 | global batch size: 512 | lm loss: 4.764590E+00 | loss scale: 8192.0 | grad norm: 0.037 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.752 | TFLOPs: 70.81 | +[default7]: iteration 757/ 3814 | consumed samples: 387584 | consumed tokens: 793772032 | elapsed time per iteration (s): 5.45 | learning rate: 2.912E-03 | global batch size: 512 | lm loss: 4.776263E+00 | loss scale: 8192.0 | grad norm: 0.038 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.922 | TFLOPs: 70.94 | +[default7]: iteration 758/ 3814 | consumed samples: 388096 | consumed tokens: 794820608 | 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norm: 0.053 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.841 | TFLOPs: 70.88 | +[default7]: iteration 764/ 3814 | consumed samples: 391168 | consumed tokens: 801112064 | elapsed time per iteration (s): 5.49 | learning rate: 2.909E-03 | global batch size: 512 | lm loss: 4.711122E+00 | loss scale: 8192.0 | grad norm: 0.045 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.305 | TFLOPs: 70.47 | +[default7]: iteration 765/ 3814 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 5.47 | learning rate: 2.909E-03 | global batch size: 512 | lm loss: 4.721985E+00 | loss scale: 8192.0 | grad norm: 0.037 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.622 | TFLOPs: 70.71 | +[default7]: iteration 766/ 3814 | consumed samples: 392192 | consumed tokens: 803209216 | elapsed time per iteration (s): 5.47 | learning rate: 2.908E-03 | global batch size: 512 | lm loss: 4.681058E+00 | loss scale: 8192.0 | grad norm: 0.029 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.547 | TFLOPs: 70.66 | +[default7]: iteration 767/ 3814 | consumed samples: 392704 | consumed tokens: 804257792 | elapsed time per iteration (s): 5.46 | learning rate: 2.908E-03 | global batch size: 512 | lm loss: 4.700247E+00 | loss scale: 8192.0 | grad norm: 0.027 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.705 | TFLOPs: 70.78 | +[default7]: iteration 768/ 3814 | consumed samples: 393216 | consumed tokens: 805306368 | elapsed time per iteration (s): 5.47 | learning rate: 2.907E-03 | global batch size: 512 | lm loss: 4.669747E+00 | loss scale: 8192.0 | grad norm: 0.026 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.568 | TFLOPs: 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learning rate: 2.905E-03 | global batch size: 512 | lm loss: 4.629025E+00 | loss scale: 8192.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.361 | TFLOPs: 70.52 | +[default7]: iteration 775/ 3814 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 5.47 | learning rate: 2.904E-03 | global batch size: 512 | lm loss: 4.649830E+00 | loss scale: 8192.0 | grad norm: 0.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.606 | TFLOPs: 70.70 | +[default7]: iteration 776/ 3814 | consumed samples: 397312 | consumed tokens: 813694976 | elapsed time per iteration (s): 5.46 | learning rate: 2.904E-03 | global batch size: 512 | lm loss: 4.644109E+00 | loss scale: 8192.0 | grad norm: 0.053 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.778 | TFLOPs: 70.83 | +[default7]: 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| global batch size: 512 | lm loss: 4.607170E+00 | loss scale: 8192.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.852 | TFLOPs: 70.89 | +[default7]: iteration 783/ 3814 | consumed samples: 400896 | consumed tokens: 821035008 | elapsed time per iteration (s): 5.46 | learning rate: 2.900E-03 | global batch size: 512 | lm loss: 4.610138E+00 | loss scale: 8192.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.728 | TFLOPs: 70.79 | +[default7]: iteration 784/ 3814 | consumed samples: 401408 | consumed tokens: 822083584 | elapsed time per iteration (s): 5.46 | learning rate: 2.900E-03 | global batch size: 512 | lm loss: 4.581819E+00 | loss scale: 8192.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.791 | TFLOPs: 70.84 | +[default7]: iteration 785/ 3814 | 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norm: 0.053 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.685 | TFLOPs: 70.76 | +[default7]: iteration 823/ 3814 | consumed samples: 421376 | consumed tokens: 862978048 | elapsed time per iteration (s): 5.46 | learning rate: 2.881E-03 | global batch size: 512 | lm loss: 4.392313E+00 | loss scale: 8192.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.743 | TFLOPs: 70.80 | +[default7]: iteration 824/ 3814 | consumed samples: 421888 | consumed tokens: 864026624 | elapsed time per iteration (s): 5.46 | learning rate: 2.881E-03 | global batch size: 512 | lm loss: 4.392454E+00 | loss scale: 8192.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.779 | TFLOPs: 70.83 | +[default7]: iteration 825/ 3814 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per 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learning rate: 2.876E-03 | global batch size: 512 | lm loss: 4.392564E+00 | loss scale: 8192.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.496 | TFLOPs: 70.62 | +[default7]: iteration 834/ 3814 | consumed samples: 427008 | consumed tokens: 874512384 | elapsed time per iteration (s): 5.47 | learning rate: 2.875E-03 | global batch size: 512 | lm loss: 4.391073E+00 | loss scale: 8192.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.552 | TFLOPs: 70.66 | +[default7]: iteration 835/ 3814 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 5.47 | learning rate: 2.875E-03 | global batch size: 512 | lm loss: 4.335327E+00 | loss scale: 8192.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.597 | TFLOPs: 70.70 | +[default7]: 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| global batch size: 512 | lm loss: 4.340561E+00 | loss scale: 8192.0 | grad norm: 0.049 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.301 | TFLOPs: 70.47 | +[default7]: iteration 842/ 3814 | consumed samples: 431104 | consumed tokens: 882900992 | elapsed time per iteration (s): 5.49 | learning rate: 2.871E-03 | global batch size: 512 | lm loss: 4.355383E+00 | loss scale: 8192.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.239 | TFLOPs: 70.42 | +[default7]: iteration 843/ 3814 | consumed samples: 431616 | consumed tokens: 883949568 | elapsed time per iteration (s): 5.51 | learning rate: 2.871E-03 | global batch size: 512 | lm loss: 4.325152E+00 | loss scale: 8192.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.919 | TFLOPs: 70.18 | +[default7]: iteration 844/ 3814 | 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4.225327E+00 | loss scale: 8192.0 | grad norm: 0.050 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.348 | TFLOPs: 70.51 | +[default7]: iteration 866/ 3814 | consumed samples: 443392 | consumed tokens: 908066816 | elapsed time per iteration (s): 5.48 | learning rate: 2.858E-03 | global batch size: 512 | lm loss: 4.224549E+00 | loss scale: 8192.0 | grad norm: 0.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.349 | TFLOPs: 70.51 | +[default7]: iteration 867/ 3814 | consumed samples: 443904 | consumed tokens: 909115392 | elapsed time per iteration (s): 5.46 | learning rate: 2.858E-03 | global batch size: 512 | lm loss: 4.218058E+00 | loss scale: 8192.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.699 | TFLOPs: 70.77 | +[default7]: iteration 868/ 3814 | consumed samples: 444416 | consumed 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of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.620 | TFLOPs: 70.71 | +[default7]: iteration 898/ 3814 | consumed samples: 459776 | consumed tokens: 941621248 | elapsed time per iteration (s): 5.47 | learning rate: 2.840E-03 | global batch size: 512 | lm loss: 4.652890E+00 | loss scale: 8192.0 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.581 | TFLOPs: 70.68 | +[default7]: iteration 899/ 3814 | consumed samples: 460288 | consumed tokens: 942669824 | elapsed time per iteration (s): 5.47 | learning rate: 2.840E-03 | global batch size: 512 | lm loss: 4.531791E+00 | loss scale: 8192.0 | grad norm: 0.125 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.676 | TFLOPs: 70.75 | +[default7]: iteration 900/ 3814 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 5.46 | learning rate: 2.839E-03 | global batch size: 512 | lm loss: 4.501472E+00 | loss scale: 8192.0 | grad norm: 0.131 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.858 | TFLOPs: 70.89 | +[default7]: iteration 901/ 3814 | consumed samples: 461312 | consumed tokens: 944766976 | elapsed time per iteration (s): 5.45 | learning rate: 2.839E-03 | global batch size: 512 | lm loss: 4.492431E+00 | loss scale: 8192.0 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.901 | TFLOPs: 70.92 | +[default7]: iteration 902/ 3814 | consumed samples: 461824 | consumed tokens: 945815552 | elapsed time per iteration (s): 5.46 | learning rate: 2.838E-03 | global batch size: 512 | lm loss: 4.476490E+00 | loss scale: 8192.0 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.768 | TFLOPs: 70.82 | +[default7]: iteration 903/ 3814 | 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iterations: 0 | number of nan iterations: 0 | samples per second: 93.592 | TFLOPs: 70.69 | +[default7]: iteration 906/ 3814 | consumed samples: 463872 | consumed tokens: 950009856 | elapsed time per iteration (s): 5.46 | learning rate: 2.836E-03 | global batch size: 512 | lm loss: 4.558815E+00 | loss scale: 8192.0 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.859 | TFLOPs: 70.89 | +[default7]: iteration 907/ 3814 | consumed samples: 464384 | consumed tokens: 951058432 | elapsed time per iteration (s): 5.46 | learning rate: 2.835E-03 | global batch size: 512 | lm loss: 4.533153E+00 | loss scale: 8192.0 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.703 | TFLOPs: 70.77 | +[default7]: iteration 908/ 3814 | consumed samples: 464896 | consumed tokens: 952107008 | elapsed time per iteration (s): 5.45 | learning rate: 2.835E-03 | global 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number of nan iterations: 0 | samples per second: 93.856 | TFLOPs: 70.89 | +[default7]: iteration 914/ 3814 | consumed samples: 467968 | consumed tokens: 958398464 | elapsed time per iteration (s): 5.46 | learning rate: 2.831E-03 | global batch size: 512 | lm loss: 4.509454E+00 | loss scale: 8192.0 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.754 | TFLOPs: 70.81 | +[default7]: iteration 915/ 3814 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 5.47 | learning rate: 2.830E-03 | global batch size: 512 | lm loss: 4.497413E+00 | loss scale: 8192.0 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.613 | TFLOPs: 70.71 | +[default7]: iteration 916/ 3814 | consumed samples: 468992 | consumed tokens: 960495616 | elapsed time per iteration (s): 5.46 | learning rate: 2.830E-03 | global batch size: 512 | 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iterations: 0 | samples per second: 93.286 | TFLOPs: 70.46 | +[default7]: iteration 922/ 3814 | consumed samples: 472064 | consumed tokens: 966787072 | elapsed time per iteration (s): 5.49 | learning rate: 2.826E-03 | global batch size: 512 | lm loss: 4.467729E+00 | loss scale: 8192.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.254 | TFLOPs: 70.44 | +[default7]: iteration 923/ 3814 | consumed samples: 472576 | consumed tokens: 967835648 | elapsed time per iteration (s): 5.49 | learning rate: 2.826E-03 | global batch size: 512 | lm loss: 4.506551E+00 | loss scale: 8192.0 | grad norm: 0.154 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.177 | TFLOPs: 70.38 | +[default7]: iteration 924/ 3814 | consumed samples: 473088 | consumed tokens: 968884224 | elapsed time per iteration (s): 5.50 | learning rate: 2.825E-03 | global batch size: 512 | lm loss: 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| TFLOPs: 70.45 | +[default7]: iteration 1037/ 3814 | consumed samples: 530944 | consumed tokens: 1087373312 | elapsed time per iteration (s): 5.47 | learning rate: 2.751E-03 | global batch size: 512 | lm loss: 4.035233E+00 | loss scale: 16384.0 | grad norm: 0.066 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.564 | TFLOPs: 70.67 | +[default7]: iteration 1038/ 3814 | consumed samples: 531456 | consumed tokens: 1088421888 | elapsed time per iteration (s): 5.48 | learning rate: 2.750E-03 | global batch size: 512 | lm loss: 4.086136E+00 | loss scale: 16384.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.418 | TFLOPs: 70.56 | +[default7]: iteration 1039/ 3814 | consumed samples: 531968 | consumed tokens: 1089470464 | elapsed time per iteration (s): 5.49 | learning rate: 2.749E-03 | global batch size: 512 | lm loss: 4.054493E+00 | loss scale: 16384.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.301 | TFLOPs: 70.47 | +[default7]: iteration 1040/ 3814 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 5.49 | learning rate: 2.749E-03 | global batch size: 512 | lm loss: 4.059786E+00 | loss scale: 16384.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.328 | TFLOPs: 70.49 | +[default7]: iteration 1041/ 3814 | consumed samples: 532992 | consumed tokens: 1091567616 | elapsed time per iteration (s): 5.48 | learning rate: 2.748E-03 | global batch size: 512 | lm loss: 4.053917E+00 | loss scale: 16384.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.488 | TFLOPs: 70.61 | +[default7]: iteration 1042/ 3814 | consumed samples: 533504 | consumed tokens: 1092616192 | elapsed time 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| TFLOPs: 70.50 | +[default7]: iteration 1045/ 3814 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 5.47 | learning rate: 2.745E-03 | global batch size: 512 | lm loss: 4.034116E+00 | loss scale: 16384.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.561 | TFLOPs: 70.67 | +[default7]: iteration 1046/ 3814 | consumed samples: 535552 | consumed tokens: 1096810496 | elapsed time per iteration (s): 5.49 | learning rate: 2.744E-03 | global batch size: 512 | lm loss: 4.015092E+00 | loss scale: 16384.0 | grad norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.344 | TFLOPs: 70.50 | +[default7]: iteration 1047/ 3814 | consumed samples: 536064 | consumed tokens: 1097859072 | elapsed time per iteration (s): 5.49 | learning rate: 2.744E-03 | global batch size: 512 | lm loss: 4.021928E+00 | loss scale: 16384.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.185 | TFLOPs: 70.38 | +[default7]: iteration 1048/ 3814 | consumed samples: 536576 | consumed tokens: 1098907648 | elapsed time per iteration (s): 5.50 | learning rate: 2.743E-03 | global batch size: 512 | lm loss: 4.046655E+00 | loss scale: 16384.0 | grad norm: 0.050 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.026 | TFLOPs: 70.26 | +[default7]: iteration 1049/ 3814 | consumed samples: 537088 | consumed tokens: 1099956224 | elapsed time per iteration (s): 5.49 | learning rate: 2.742E-03 | global batch size: 512 | lm loss: 4.016219E+00 | loss scale: 16384.0 | grad norm: 0.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.268 | TFLOPs: 70.45 | +[default7]: iteration 1050/ 3814 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time 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| TFLOPs: 70.28 | +[default7]: iteration 1053/ 3814 | consumed samples: 539136 | consumed tokens: 1104150528 | elapsed time per iteration (s): 5.49 | learning rate: 2.739E-03 | global batch size: 512 | lm loss: 3.984857E+00 | loss scale: 16384.0 | grad norm: 0.040 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.210 | TFLOPs: 70.40 | +[default7]: iteration 1054/ 3814 | consumed samples: 539648 | consumed tokens: 1105199104 | elapsed time per iteration (s): 5.49 | learning rate: 2.739E-03 | global batch size: 512 | lm loss: 3.988518E+00 | loss scale: 16384.0 | grad norm: 0.044 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.254 | TFLOPs: 70.44 | +[default7]: iteration 1055/ 3814 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 5.49 | learning rate: 2.738E-03 | global batch size: 512 | lm loss: 3.999432E+00 | loss scale: 16384.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.203 | TFLOPs: 70.40 | +[default7]: iteration 1056/ 3814 | consumed samples: 540672 | consumed tokens: 1107296256 | elapsed time per iteration (s): 5.50 | learning rate: 2.737E-03 | global batch size: 512 | lm loss: 4.024523E+00 | loss scale: 16384.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.060 | TFLOPs: 70.29 | +[default7]: iteration 1057/ 3814 | consumed samples: 541184 | consumed tokens: 1108344832 | elapsed time per iteration (s): 5.51 | learning rate: 2.736E-03 | global batch size: 512 | lm loss: 4.063383E+00 | loss scale: 16384.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.968 | TFLOPs: 70.22 | +[default7]: iteration 1058/ 3814 | consumed samples: 541696 | consumed tokens: 1109393408 | elapsed time per iteration (s): 5.53 | learning rate: 2.736E-03 | global batch size: 512 | lm loss: 4.011456E+00 | loss scale: 16384.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.654 | TFLOPs: 69.98 | +[default7]: iteration 1059/ 3814 | consumed samples: 542208 | consumed tokens: 1110441984 | elapsed time per iteration (s): 5.51 | learning rate: 2.735E-03 | global batch size: 512 | lm loss: 4.013404E+00 | loss scale: 16384.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.890 | TFLOPs: 70.16 | +[default7]: iteration 1060/ 3814 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 5.49 | learning rate: 2.734E-03 | global batch size: 512 | lm loss: 3.997335E+00 | loss scale: 16384.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.271 | TFLOPs: 70.45 | +[default7]: iteration 1061/ 3814 | consumed samples: 543232 | consumed tokens: 1112539136 | elapsed time per iteration (s): 5.52 | learning rate: 2.733E-03 | global batch size: 512 | lm loss: 4.020299E+00 | loss scale: 16384.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.676 | TFLOPs: 70.00 | +[default7]: iteration 1062/ 3814 | consumed samples: 543744 | consumed tokens: 1113587712 | elapsed time per iteration (s): 5.50 | learning rate: 2.733E-03 | global batch size: 512 | lm loss: 3.964576E+00 | loss scale: 16384.0 | grad norm: 0.059 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.046 | TFLOPs: 70.28 | +[default7]: iteration 1063/ 3814 | consumed samples: 544256 | consumed tokens: 1114636288 | elapsed time per iteration (s): 5.49 | learning rate: 2.732E-03 | global batch size: 512 | lm loss: 3.977574E+00 | loss scale: 16384.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.280 | TFLOPs: 70.46 | +[default7]: iteration 1064/ 3814 | consumed samples: 544768 | consumed tokens: 1115684864 | elapsed time per iteration (s): 5.49 | learning rate: 2.731E-03 | global batch size: 512 | lm loss: 4.004959E+00 | loss scale: 16384.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.274 | TFLOPs: 70.45 | +[default7]: iteration 1065/ 3814 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 5.50 | learning rate: 2.731E-03 | global batch size: 512 | lm loss: 4.026210E+00 | loss scale: 16384.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.016 | TFLOPs: 70.26 | +[default7]: iteration 1066/ 3814 | consumed samples: 545792 | consumed tokens: 1117782016 | elapsed time per iteration (s): 5.50 | learning rate: 2.730E-03 | global batch size: 512 | lm loss: 4.031112E+00 | loss scale: 16384.0 | grad norm: 0.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.053 | TFLOPs: 70.28 | +[default7]: iteration 1067/ 3814 | consumed samples: 546304 | consumed tokens: 1118830592 | elapsed time per iteration (s): 5.48 | learning rate: 2.729E-03 | global batch size: 512 | lm loss: 3.987420E+00 | loss scale: 16384.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.361 | TFLOPs: 70.52 | +[default7]: iteration 1068/ 3814 | consumed samples: 546816 | consumed tokens: 1119879168 | elapsed time per iteration (s): 5.50 | learning rate: 2.728E-03 | global batch size: 512 | lm loss: 3.990480E+00 | loss scale: 16384.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.147 | TFLOPs: 70.35 | +[default7]: iteration 1069/ 3814 | consumed samples: 547328 | consumed tokens: 1120927744 | elapsed time per iteration (s): 5.49 | learning rate: 2.728E-03 | global batch size: 512 | lm loss: 3.997233E+00 | loss scale: 16384.0 | grad norm: 0.063 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.306 | TFLOPs: 70.47 | +[default7]: iteration 1070/ 3814 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 5.50 | learning rate: 2.727E-03 | global batch size: 512 | lm loss: 4.020666E+00 | loss scale: 16384.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.168 | TFLOPs: 70.37 | +[default7]: iteration 1071/ 3814 | consumed samples: 548352 | consumed tokens: 1123024896 | elapsed time per iteration (s): 5.49 | learning rate: 2.726E-03 | global batch size: 512 | lm loss: 4.030270E+00 | loss scale: 16384.0 | grad norm: 0.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.199 | TFLOPs: 70.39 | +[default7]: iteration 1072/ 3814 | consumed samples: 548864 | consumed tokens: 1124073472 | elapsed time per iteration (s): 5.49 | learning rate: 2.725E-03 | global batch size: 512 | lm loss: 4.007959E+00 | loss scale: 16384.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.294 | TFLOPs: 70.47 | +[default7]: iteration 1073/ 3814 | consumed samples: 549376 | consumed tokens: 1125122048 | elapsed time per iteration (s): 5.50 | learning rate: 2.725E-03 | global batch size: 512 | lm loss: 4.013361E+00 | loss scale: 16384.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.159 | TFLOPs: 70.36 | +[default7]: iteration 1074/ 3814 | consumed samples: 549888 | consumed tokens: 1126170624 | elapsed time per iteration (s): 5.49 | learning rate: 2.724E-03 | global batch size: 512 | lm loss: 4.002448E+00 | loss scale: 16384.0 | grad norm: 0.068 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.198 | TFLOPs: 70.39 | +[default7]: iteration 1075/ 3814 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 5.49 | learning rate: 2.723E-03 | global batch size: 512 | lm loss: 4.021159E+00 | loss scale: 16384.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.286 | TFLOPs: 70.46 | +[default7]: iteration 1076/ 3814 | consumed samples: 550912 | consumed tokens: 1128267776 | elapsed time per iteration (s): 5.51 | learning rate: 2.722E-03 | global batch size: 512 | lm loss: 3.997553E+00 | loss scale: 16384.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.861 | TFLOPs: 70.14 | +[default7]: iteration 1077/ 3814 | consumed samples: 551424 | consumed tokens: 1129316352 | elapsed time per iteration (s): 5.51 | learning rate: 2.722E-03 | global batch size: 512 | lm loss: 3.988595E+00 | loss scale: 16384.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.990 | TFLOPs: 70.24 | +[default7]: iteration 1078/ 3814 | consumed samples: 551936 | consumed tokens: 1130364928 | elapsed time per iteration (s): 5.50 | learning rate: 2.721E-03 | global batch size: 512 | lm loss: 4.009850E+00 | loss scale: 16384.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.042 | TFLOPs: 70.28 | +[default7]: iteration 1079/ 3814 | consumed samples: 552448 | consumed tokens: 1131413504 | elapsed time per iteration (s): 5.47 | learning rate: 2.720E-03 | global batch size: 512 | lm loss: 3.965549E+00 | loss scale: 16384.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.558 | TFLOPs: 70.67 | +[default7]: iteration 1080/ 3814 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 5.48 | learning rate: 2.719E-03 | global batch size: 512 | lm loss: 3.978008E+00 | loss scale: 16384.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.362 | TFLOPs: 70.52 | +[default7]: iteration 1081/ 3814 | consumed samples: 553472 | consumed tokens: 1133510656 | elapsed time per iteration (s): 5.50 | learning rate: 2.719E-03 | global batch size: 512 | lm loss: 3.981443E+00 | loss scale: 16384.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.137 | TFLOPs: 70.35 | +[default7]: iteration 1082/ 3814 | consumed samples: 553984 | consumed tokens: 1134559232 | elapsed time per iteration (s): 5.50 | learning rate: 2.718E-03 | global batch size: 512 | lm loss: 3.979832E+00 | loss scale: 16384.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.156 | TFLOPs: 70.36 | +[default7]: iteration 1083/ 3814 | consumed samples: 554496 | consumed tokens: 1135607808 | elapsed time per iteration (s): 5.51 | learning rate: 2.717E-03 | global batch size: 512 | lm loss: 3.985771E+00 | loss scale: 16384.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.901 | TFLOPs: 70.17 | +[default7]: iteration 1084/ 3814 | consumed samples: 555008 | consumed tokens: 1136656384 | elapsed time per iteration (s): 5.49 | learning rate: 2.716E-03 | global batch size: 512 | lm loss: 3.963125E+00 | loss scale: 16384.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.177 | TFLOPs: 70.38 | +[default7]: iteration 1085/ 3814 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 5.49 | learning rate: 2.716E-03 | global batch size: 512 | lm loss: 3.992683E+00 | loss scale: 16384.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.204 | TFLOPs: 70.40 | +[default7]: iteration 1086/ 3814 | consumed samples: 556032 | consumed tokens: 1138753536 | elapsed time per iteration (s): 5.49 | learning rate: 2.715E-03 | global batch size: 512 | lm loss: 3.983907E+00 | loss scale: 16384.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.185 | TFLOPs: 70.38 | +[default7]: iteration 1087/ 3814 | consumed samples: 556544 | consumed tokens: 1139802112 | elapsed time per iteration (s): 5.51 | learning rate: 2.714E-03 | global batch size: 512 | lm loss: 3.973140E+00 | loss scale: 16384.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.005 | TFLOPs: 70.25 | +[default7]: iteration 1088/ 3814 | consumed samples: 557056 | consumed tokens: 1140850688 | elapsed time per iteration (s): 5.49 | learning rate: 2.713E-03 | global batch size: 512 | lm loss: 3.970944E+00 | loss scale: 16384.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.189 | TFLOPs: 70.39 | +[default7]: iteration 1089/ 3814 | consumed samples: 557568 | consumed tokens: 1141899264 | elapsed time per iteration (s): 5.49 | learning rate: 2.713E-03 | global batch size: 512 | lm loss: 3.998284E+00 | loss scale: 16384.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.265 | TFLOPs: 70.44 | +[default7]: iteration 1090/ 3814 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time 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| TFLOPs: 70.18 | +[default7]: iteration 1093/ 3814 | consumed samples: 559616 | consumed tokens: 1146093568 | elapsed time per iteration (s): 5.51 | learning rate: 2.710E-03 | global batch size: 512 | lm loss: 3.991488E+00 | loss scale: 16384.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.948 | TFLOPs: 70.20 | +[default7]: iteration 1094/ 3814 | consumed samples: 560128 | consumed tokens: 1147142144 | elapsed time per iteration (s): 5.50 | learning rate: 2.709E-03 | global batch size: 512 | lm loss: 3.993743E+00 | loss scale: 16384.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.020 | TFLOPs: 70.26 | +[default7]: iteration 1095/ 3814 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 5.49 | learning rate: 2.708E-03 | global batch size: 512 | lm loss: 3.977207E+00 | loss scale: 16384.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.186 | TFLOPs: 70.38 | +[default7]: iteration 1096/ 3814 | consumed samples: 561152 | consumed tokens: 1149239296 | elapsed time per iteration (s): 5.48 | learning rate: 2.707E-03 | global batch size: 512 | lm loss: 3.980694E+00 | loss scale: 16384.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.351 | TFLOPs: 70.51 | +[default7]: iteration 1097/ 3814 | consumed samples: 561664 | consumed tokens: 1150287872 | elapsed time per iteration (s): 5.49 | learning rate: 2.707E-03 | global batch size: 512 | lm loss: 4.001083E+00 | loss scale: 16384.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.340 | TFLOPs: 70.50 | +[default7]: iteration 1098/ 3814 | consumed samples: 562176 | consumed tokens: 1151336448 | elapsed time per iteration (s): 5.48 | learning rate: 2.706E-03 | global batch size: 512 | lm loss: 4.006535E+00 | loss scale: 16384.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.445 | TFLOPs: 70.58 | +[default7]: iteration 1099/ 3814 | consumed samples: 562688 | consumed tokens: 1152385024 | elapsed time per iteration (s): 5.48 | learning rate: 2.705E-03 | global batch size: 512 | lm loss: 3.992057E+00 | loss scale: 16384.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.470 | TFLOPs: 70.60 | +[default7]: iteration 1100/ 3814 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 5.48 | learning rate: 2.704E-03 | global batch size: 512 | lm loss: 3.985364E+00 | loss scale: 16384.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.467 | TFLOPs: 70.60 | +[default7]: iteration 1101/ 3814 | consumed samples: 563712 | consumed tokens: 1154482176 | elapsed time per iteration (s): 5.48 | learning rate: 2.704E-03 | global batch size: 512 | lm loss: 3.982087E+00 | loss scale: 16384.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.420 | TFLOPs: 70.56 | +[default7]: iteration 1102/ 3814 | consumed samples: 564224 | consumed tokens: 1155530752 | elapsed time per iteration (s): 5.50 | learning rate: 2.703E-03 | global batch size: 512 | lm loss: 4.018452E+00 | loss scale: 16384.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.080 | TFLOPs: 70.30 | +[default7]: iteration 1103/ 3814 | consumed samples: 564736 | consumed tokens: 1156579328 | elapsed time per iteration (s): 5.50 | learning rate: 2.702E-03 | global batch size: 512 | lm loss: 3.989264E+00 | loss scale: 16384.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.036 | TFLOPs: 70.27 | +[default7]: iteration 1104/ 3814 | consumed samples: 565248 | consumed tokens: 1157627904 | elapsed time per iteration (s): 5.48 | learning rate: 2.701E-03 | global batch size: 512 | lm loss: 3.993796E+00 | loss scale: 16384.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.484 | TFLOPs: 70.61 | +[default7]: iteration 1105/ 3814 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 5.49 | learning rate: 2.700E-03 | global batch size: 512 | lm loss: 3.999733E+00 | loss scale: 16384.0 | grad norm: 0.063 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.341 | TFLOPs: 70.50 | +[default7]: iteration 1106/ 3814 | consumed samples: 566272 | consumed tokens: 1159725056 | elapsed time 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| TFLOPs: 70.49 | +[default7]: iteration 1109/ 3814 | consumed samples: 567808 | consumed tokens: 1162870784 | elapsed time per iteration (s): 5.48 | learning rate: 2.697E-03 | global batch size: 512 | lm loss: 3.998005E+00 | loss scale: 16384.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.418 | TFLOPs: 70.56 | +[default7]: iteration 1110/ 3814 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 5.49 | learning rate: 2.697E-03 | global batch size: 512 | lm loss: 4.008448E+00 | loss scale: 16384.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.266 | TFLOPs: 70.44 | +[default7]: iteration 1111/ 3814 | consumed samples: 568832 | consumed tokens: 1164967936 | elapsed time per iteration (s): 5.48 | learning rate: 2.696E-03 | global batch size: 512 | lm loss: 3.998455E+00 | loss scale: 16384.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.361 | TFLOPs: 70.52 | +[default7]: iteration 1112/ 3814 | consumed samples: 569344 | consumed tokens: 1166016512 | elapsed time per iteration (s): 5.49 | learning rate: 2.695E-03 | global batch size: 512 | lm loss: 3.985523E+00 | loss scale: 16384.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.300 | TFLOPs: 70.47 | +[default7]: iteration 1113/ 3814 | consumed samples: 569856 | consumed tokens: 1167065088 | elapsed time per iteration (s): 5.49 | learning rate: 2.694E-03 | global batch size: 512 | lm loss: 3.966388E+00 | loss scale: 16384.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.287 | TFLOPs: 70.46 | +[default7]: iteration 1114/ 3814 | consumed samples: 570368 | consumed tokens: 1168113664 | elapsed time per iteration (s): 5.48 | learning rate: 2.693E-03 | global batch size: 512 | lm loss: 3.971934E+00 | loss scale: 16384.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.347 | TFLOPs: 70.51 | +[default7]: iteration 1115/ 3814 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 5.48 | learning rate: 2.693E-03 | global batch size: 512 | lm loss: 3.959761E+00 | loss scale: 16384.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.434 | TFLOPs: 70.57 | +[default7]: iteration 1116/ 3814 | consumed samples: 571392 | consumed tokens: 1170210816 | elapsed time per iteration (s): 5.49 | learning rate: 2.692E-03 | global batch size: 512 | lm loss: 3.977665E+00 | loss scale: 16384.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.288 | TFLOPs: 70.46 | +[default7]: iteration 1117/ 3814 | consumed samples: 571904 | consumed tokens: 1171259392 | elapsed time per iteration (s): 5.48 | learning rate: 2.691E-03 | global batch size: 512 | lm loss: 3.982410E+00 | loss scale: 16384.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.444 | TFLOPs: 70.58 | +[default7]: iteration 1118/ 3814 | consumed samples: 572416 | consumed tokens: 1172307968 | elapsed time per iteration (s): 5.47 | learning rate: 2.690E-03 | global batch size: 512 | lm loss: 3.993578E+00 | loss scale: 16384.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.559 | TFLOPs: 70.67 | +[default7]: iteration 1119/ 3814 | consumed samples: 572928 | consumed tokens: 1173356544 | elapsed time per iteration (s): 5.47 | learning rate: 2.690E-03 | global batch size: 512 | lm loss: 3.981430E+00 | loss scale: 16384.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.598 | TFLOPs: 70.70 | +[default7]: iteration 1120/ 3814 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 5.47 | learning rate: 2.689E-03 | global batch size: 512 | lm loss: 3.969362E+00 | loss scale: 16384.0 | grad norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.561 | TFLOPs: 70.67 | +[default7]: iteration 1121/ 3814 | consumed samples: 573952 | consumed tokens: 1175453696 | elapsed time per iteration (s): 5.48 | learning rate: 2.688E-03 | global batch size: 512 | lm loss: 3.953505E+00 | loss scale: 16384.0 | grad norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.480 | TFLOPs: 70.61 | +[default7]: iteration 1122/ 3814 | consumed samples: 574464 | consumed tokens: 1176502272 | elapsed time per iteration (s): 5.47 | learning rate: 2.687E-03 | global batch size: 512 | lm loss: 3.962772E+00 | loss scale: 16384.0 | grad norm: 0.053 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.525 | TFLOPs: 70.64 | +[default7]: iteration 1123/ 3814 | consumed samples: 574976 | consumed tokens: 1177550848 | elapsed time per iteration (s): 5.47 | learning rate: 2.686E-03 | global batch size: 512 | lm loss: 3.932313E+00 | loss scale: 16384.0 | grad norm: 0.041 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.664 | TFLOPs: 70.75 | +[default7]: iteration 1124/ 3814 | consumed samples: 575488 | consumed tokens: 1178599424 | elapsed time per iteration (s): 5.47 | learning rate: 2.686E-03 | global batch size: 512 | lm loss: 3.908134E+00 | loss scale: 16384.0 | grad norm: 0.041 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.586 | TFLOPs: 70.69 | +[default7]: iteration 1125/ 3814 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 5.47 | learning rate: 2.685E-03 | global batch size: 512 | lm loss: 3.929224E+00 | loss scale: 16384.0 | grad norm: 0.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.580 | TFLOPs: 70.68 | +[default7]: iteration 1126/ 3814 | consumed samples: 576512 | consumed tokens: 1180696576 | elapsed time per iteration (s): 5.47 | learning rate: 2.684E-03 | global batch size: 512 | lm loss: 3.946878E+00 | loss scale: 16384.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.616 | TFLOPs: 70.71 | +[default7]: iteration 1127/ 3814 | consumed samples: 577024 | consumed tokens: 1181745152 | elapsed time per iteration (s): 5.48 | learning rate: 2.683E-03 | global batch size: 512 | lm loss: 3.913921E+00 | loss scale: 16384.0 | grad norm: 0.044 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.495 | TFLOPs: 70.62 | +[default7]: iteration 1128/ 3814 | consumed samples: 577536 | consumed tokens: 1182793728 | elapsed time per iteration (s): 5.47 | learning rate: 2.682E-03 | global batch size: 512 | lm loss: 3.906063E+00 | loss scale: 16384.0 | grad norm: 0.043 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.572 | TFLOPs: 70.68 | +[default7]: iteration 1129/ 3814 | consumed samples: 578048 | consumed tokens: 1183842304 | elapsed time per iteration (s): 5.49 | learning rate: 2.682E-03 | global batch size: 512 | lm loss: 3.930281E+00 | loss scale: 16384.0 | grad norm: 0.043 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.302 | TFLOPs: 70.47 | +[default7]: iteration 1130/ 3814 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 5.48 | learning rate: 2.681E-03 | global batch size: 512 | lm loss: 3.918541E+00 | loss scale: 16384.0 | grad norm: 0.040 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.379 | TFLOPs: 70.53 | +[default7]: iteration 1131/ 3814 | consumed samples: 579072 | consumed tokens: 1185939456 | elapsed time per iteration (s): 5.47 | learning rate: 2.680E-03 | global batch size: 512 | lm loss: 3.919497E+00 | loss scale: 16384.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.592 | TFLOPs: 70.69 | +[default7]: iteration 1132/ 3814 | consumed samples: 579584 | consumed tokens: 1186988032 | elapsed time per iteration (s): 5.47 | learning rate: 2.679E-03 | global batch size: 512 | lm loss: 3.925772E+00 | loss scale: 16384.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.518 | TFLOPs: 70.64 | +[default7]: iteration 1133/ 3814 | consumed samples: 580096 | consumed tokens: 1188036608 | elapsed time per iteration (s): 5.48 | learning rate: 2.679E-03 | global batch size: 512 | lm loss: 3.935241E+00 | loss scale: 16384.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.470 | TFLOPs: 70.60 | +[default7]: iteration 1134/ 3814 | consumed samples: 580608 | consumed tokens: 1189085184 | elapsed time per iteration (s): 5.46 | learning rate: 2.678E-03 | global batch size: 512 | lm loss: 3.910674E+00 | loss scale: 16384.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.843 | TFLOPs: 70.88 | +[default7]: iteration 1135/ 3814 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 5.47 | learning rate: 2.677E-03 | global batch size: 512 | lm loss: 3.877818E+00 | loss scale: 16384.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.629 | TFLOPs: 70.72 | +[default7]: iteration 1136/ 3814 | consumed samples: 581632 | consumed tokens: 1191182336 | elapsed time per iteration (s): 5.48 | learning rate: 2.676E-03 | global batch size: 512 | lm loss: 3.872806E+00 | loss scale: 16384.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.448 | TFLOPs: 70.58 | +[default7]: iteration 1137/ 3814 | consumed samples: 582144 | consumed tokens: 1192230912 | elapsed time per iteration (s): 5.48 | learning rate: 2.675E-03 | global batch size: 512 | lm loss: 3.890429E+00 | loss scale: 16384.0 | grad norm: 0.050 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.377 | TFLOPs: 70.53 | +[default7]: iteration 1138/ 3814 | consumed samples: 582656 | consumed tokens: 1193279488 | elapsed time per iteration (s): 5.49 | learning rate: 2.675E-03 | global batch size: 512 | lm loss: 3.911781E+00 | loss scale: 16384.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.269 | TFLOPs: 70.45 | +[default7]: iteration 1139/ 3814 | consumed samples: 583168 | consumed tokens: 1194328064 | elapsed time per iteration (s): 5.49 | learning rate: 2.674E-03 | global batch size: 512 | lm loss: 3.894097E+00 | loss scale: 16384.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.270 | TFLOPs: 70.45 | +[default7]: iteration 1140/ 3814 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 5.46 | learning rate: 2.673E-03 | global batch size: 512 | lm loss: 3.880899E+00 | loss scale: 16384.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.689 | TFLOPs: 70.76 | +[default7]: iteration 1141/ 3814 | consumed samples: 584192 | consumed tokens: 1196425216 | elapsed time per iteration (s): 5.47 | learning rate: 2.672E-03 | global batch size: 512 | lm loss: 3.889607E+00 | loss scale: 16384.0 | grad norm: 0.045 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.597 | TFLOPs: 70.69 | +[default7]: iteration 1142/ 3814 | consumed samples: 584704 | consumed tokens: 1197473792 | elapsed time per iteration (s): 5.49 | learning rate: 2.671E-03 | global batch size: 512 | lm loss: 3.878600E+00 | loss scale: 16384.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.328 | TFLOPs: 70.49 | +[default7]: iteration 1143/ 3814 | consumed samples: 585216 | consumed tokens: 1198522368 | elapsed time per iteration (s): 5.48 | learning rate: 2.671E-03 | global batch size: 512 | lm loss: 3.880841E+00 | loss scale: 16384.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.406 | TFLOPs: 70.55 | +[default7]: iteration 1144/ 3814 | consumed samples: 585728 | consumed tokens: 1199570944 | elapsed time per iteration (s): 5.48 | learning rate: 2.670E-03 | global batch size: 512 | lm loss: 3.879342E+00 | loss scale: 16384.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.462 | TFLOPs: 70.59 | +[default7]: iteration 1145/ 3814 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 5.48 | learning rate: 2.669E-03 | global batch size: 512 | lm loss: 3.887528E+00 | loss scale: 16384.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.369 | TFLOPs: 70.52 | +[default7]: iteration 1146/ 3814 | consumed samples: 586752 | consumed tokens: 1201668096 | elapsed time 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| TFLOPs: 70.62 | +[default7]: iteration 1149/ 3814 | consumed samples: 588288 | consumed tokens: 1204813824 | elapsed time per iteration (s): 5.48 | learning rate: 2.666E-03 | global batch size: 512 | lm loss: 3.887975E+00 | loss scale: 16384.0 | grad norm: 0.049 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.457 | TFLOPs: 70.59 | +[default7]: iteration 1150/ 3814 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 5.49 | learning rate: 2.665E-03 | global batch size: 512 | lm loss: 3.867124E+00 | loss scale: 16384.0 | grad norm: 0.049 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.230 | TFLOPs: 70.42 | +[default7]: iteration 1151/ 3814 | consumed samples: 589312 | consumed tokens: 1206910976 | elapsed time per iteration (s): 5.48 | learning rate: 2.664E-03 | global batch size: 512 | lm loss: 3.865095E+00 | loss scale: 16384.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.420 | TFLOPs: 70.56 | +[default7]: iteration 1152/ 3814 | consumed samples: 589824 | consumed tokens: 1207959552 | elapsed time per iteration (s): 5.49 | learning rate: 2.663E-03 | global batch size: 512 | lm loss: 3.927414E+00 | loss scale: 16384.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.197 | TFLOPs: 70.39 | +[default7]: iteration 1153/ 3814 | consumed samples: 590336 | consumed tokens: 1209008128 | elapsed time per iteration (s): 5.49 | learning rate: 2.662E-03 | global batch size: 512 | lm loss: 3.895622E+00 | loss scale: 16384.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.340 | TFLOPs: 70.50 | +[default7]: iteration 1154/ 3814 | consumed samples: 590848 | consumed tokens: 1210056704 | elapsed time 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| TFLOPs: 70.43 | +[default7]: iteration 1157/ 3814 | consumed samples: 592384 | consumed tokens: 1213202432 | elapsed time per iteration (s): 5.45 | learning rate: 2.659E-03 | global batch size: 512 | lm loss: 3.959267E+00 | loss scale: 16384.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.918 | TFLOPs: 70.94 | +[default7]: iteration 1158/ 3814 | consumed samples: 592896 | consumed tokens: 1214251008 | elapsed time per iteration (s): 5.47 | learning rate: 2.658E-03 | global batch size: 512 | lm loss: 3.912995E+00 | loss scale: 16384.0 | grad norm: 0.092 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.608 | TFLOPs: 70.70 | +[default7]: iteration 1159/ 3814 | consumed samples: 593408 | consumed tokens: 1215299584 | elapsed time per iteration (s): 5.46 | learning rate: 2.658E-03 | global batch size: 512 | lm loss: 3.940885E+00 | loss scale: 16384.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.696 | TFLOPs: 70.77 | +[default7]: iteration 1160/ 3814 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 5.47 | learning rate: 2.657E-03 | global batch size: 512 | lm loss: 3.951530E+00 | loss scale: 16384.0 | grad norm: 0.091 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.522 | TFLOPs: 70.64 | +[default7]: iteration 1161/ 3814 | consumed samples: 594432 | consumed tokens: 1217396736 | elapsed time per iteration (s): 5.48 | learning rate: 2.656E-03 | global batch size: 512 | lm loss: 3.982533E+00 | loss scale: 16384.0 | grad norm: 0.114 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.478 | TFLOPs: 70.60 | +[default7]: iteration 1162/ 3814 | consumed samples: 594944 | consumed tokens: 1218445312 | elapsed time 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| TFLOPs: 70.56 | +[default7]: iteration 1165/ 3814 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 5.46 | learning rate: 2.653E-03 | global batch size: 512 | lm loss: 3.968127E+00 | loss scale: 16384.0 | grad norm: 0.100 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.851 | TFLOPs: 70.89 | +[default7]: iteration 1166/ 3814 | consumed samples: 596992 | consumed tokens: 1222639616 | elapsed time per iteration (s): 5.48 | learning rate: 2.652E-03 | global batch size: 512 | lm loss: 3.927063E+00 | loss scale: 16384.0 | grad norm: 0.092 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.503 | TFLOPs: 70.62 | +[default7]: iteration 1167/ 3814 | consumed samples: 597504 | consumed tokens: 1223688192 | elapsed time per iteration (s): 5.47 | learning rate: 2.651E-03 | global batch size: 512 | lm loss: 4.026793E+00 | loss scale: 16384.0 | grad norm: 0.122 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.613 | TFLOPs: 70.71 | +[default7]: iteration 1168/ 3814 | consumed samples: 598016 | consumed tokens: 1224736768 | elapsed time per iteration (s): 5.50 | learning rate: 2.650E-03 | global batch size: 512 | lm loss: 4.000053E+00 | loss scale: 16384.0 | grad norm: 0.098 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.110 | TFLOPs: 70.33 | +[default7]: iteration 1169/ 3814 | consumed samples: 598528 | consumed tokens: 1225785344 | elapsed time per iteration (s): 5.50 | learning rate: 2.649E-03 | global batch size: 512 | lm loss: 4.029054E+00 | loss scale: 16384.0 | grad norm: 0.138 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.057 | TFLOPs: 70.29 | +[default7]: iteration 1170/ 3814 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time 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| TFLOPs: 69.94 | +[default7]: iteration 1173/ 3814 | consumed samples: 600576 | consumed tokens: 1229979648 | elapsed time per iteration (s): 5.50 | learning rate: 2.646E-03 | global batch size: 512 | lm loss: 4.054539E+00 | loss scale: 16384.0 | grad norm: 0.120 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.095 | TFLOPs: 70.32 | +[default7]: iteration 1174/ 3814 | consumed samples: 601088 | consumed tokens: 1231028224 | elapsed time per iteration (s): 5.51 | learning rate: 2.645E-03 | global batch size: 512 | lm loss: 4.039076E+00 | loss scale: 16384.0 | grad norm: 0.130 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.858 | TFLOPs: 70.14 | +[default7]: iteration 1175/ 3814 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 5.48 | learning rate: 2.644E-03 | global batch size: 512 | lm loss: 3.976572E+00 | loss scale: 16384.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.422 | TFLOPs: 70.56 | +[default7]: iteration 1176/ 3814 | consumed samples: 602112 | consumed tokens: 1233125376 | elapsed time per iteration (s): 5.46 | learning rate: 2.644E-03 | global batch size: 512 | lm loss: 3.974124E+00 | loss scale: 16384.0 | grad norm: 0.116 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.767 | TFLOPs: 70.82 | +[default7]: iteration 1177/ 3814 | consumed samples: 602624 | consumed tokens: 1234173952 | elapsed time per iteration (s): 5.47 | learning rate: 2.643E-03 | global batch size: 512 | lm loss: 4.045982E+00 | loss scale: 16384.0 | grad norm: 0.149 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.529 | TFLOPs: 70.64 | +[default7]: iteration 1178/ 3814 | consumed samples: 603136 | consumed tokens: 1235222528 | elapsed time 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| TFLOPs: 70.80 | +[default7]: iteration 1181/ 3814 | consumed samples: 604672 | consumed tokens: 1238368256 | elapsed time per iteration (s): 5.48 | learning rate: 2.639E-03 | global batch size: 512 | lm loss: 4.146863E+00 | loss scale: 16384.0 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.499 | TFLOPs: 70.62 | +[default7]: iteration 1182/ 3814 | consumed samples: 605184 | consumed tokens: 1239416832 | elapsed time per iteration (s): 5.46 | learning rate: 2.639E-03 | global batch size: 512 | lm loss: 4.115232E+00 | loss scale: 16384.0 | grad norm: 0.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.739 | TFLOPs: 70.80 | +[default7]: iteration 1183/ 3814 | consumed samples: 605696 | consumed tokens: 1240465408 | elapsed time per iteration (s): 5.46 | learning rate: 2.638E-03 | global batch size: 512 | lm loss: 4.073883E+00 | loss scale: 16384.0 | grad norm: 0.128 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.806 | TFLOPs: 70.85 | +[default7]: iteration 1184/ 3814 | consumed samples: 606208 | consumed tokens: 1241513984 | elapsed time per iteration (s): 5.46 | learning rate: 2.637E-03 | global batch size: 512 | lm loss: 4.096428E+00 | loss scale: 16384.0 | grad norm: 0.123 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.789 | TFLOPs: 70.84 | +[default7]: iteration 1185/ 3814 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 5.45 | learning rate: 2.636E-03 | global batch size: 512 | lm loss: 4.053111E+00 | loss scale: 16384.0 | grad norm: 0.111 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.911 | TFLOPs: 70.93 | +[default7]: iteration 1186/ 3814 | consumed samples: 607232 | consumed tokens: 1243611136 | elapsed time 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| TFLOPs: 70.97 | +[default7]: iteration 1189/ 3814 | consumed samples: 608768 | consumed tokens: 1246756864 | elapsed time per iteration (s): 5.47 | learning rate: 2.633E-03 | global batch size: 512 | lm loss: 4.148818E+00 | loss scale: 16384.0 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.558 | TFLOPs: 70.67 | +[default7]: iteration 1190/ 3814 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 5.46 | learning rate: 2.632E-03 | global batch size: 512 | lm loss: 4.105662E+00 | loss scale: 16384.0 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.711 | TFLOPs: 70.78 | +[default7]: iteration 1191/ 3814 | consumed samples: 609792 | consumed tokens: 1248854016 | elapsed time per iteration (s): 5.45 | learning rate: 2.631E-03 | global batch size: 512 | lm loss: 4.171302E+00 | loss scale: 16384.0 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.914 | TFLOPs: 70.93 | +[default7]: iteration 1192/ 3814 | consumed samples: 610304 | consumed tokens: 1249902592 | elapsed time per iteration (s): 5.46 | learning rate: 2.630E-03 | global batch size: 512 | lm loss: 4.101903E+00 | loss scale: 16384.0 | grad norm: 0.118 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.762 | TFLOPs: 70.82 | +[default7]: iteration 1193/ 3814 | consumed samples: 610816 | consumed tokens: 1250951168 | elapsed time per iteration (s): 5.46 | learning rate: 2.629E-03 | global batch size: 512 | lm loss: 4.074232E+00 | loss scale: 16384.0 | grad norm: 0.095 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.831 | TFLOPs: 70.87 | +[default7]: iteration 1194/ 3814 | consumed samples: 611328 | consumed tokens: 1251999744 | elapsed time 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| TFLOPs: 70.90 | +[default7]: iteration 1197/ 3814 | consumed samples: 612864 | consumed tokens: 1255145472 | elapsed time per iteration (s): 5.46 | learning rate: 2.626E-03 | global batch size: 512 | lm loss: 4.010208E+00 | loss scale: 16384.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.816 | TFLOPs: 70.86 | +[default7]: iteration 1198/ 3814 | consumed samples: 613376 | consumed tokens: 1256194048 | elapsed time per iteration (s): 5.47 | learning rate: 2.625E-03 | global batch size: 512 | lm loss: 4.026207E+00 | loss scale: 16384.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.666 | TFLOPs: 70.75 | +[default7]: iteration 1199/ 3814 | consumed samples: 613888 | consumed tokens: 1257242624 | elapsed time per iteration (s): 5.47 | learning rate: 2.624E-03 | global batch size: 512 | lm loss: 3.985377E+00 | loss scale: 16384.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.659 | TFLOPs: 70.74 | +[default7]: iteration 1200/ 3814 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 5.46 | learning rate: 2.623E-03 | global batch size: 512 | lm loss: 3.984678E+00 | loss scale: 16384.0 | grad norm: 0.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.703 | TFLOPs: 70.77 | +[default7]: iteration 1201/ 3814 | consumed samples: 614912 | consumed tokens: 1259339776 | elapsed time per iteration (s): 5.47 | learning rate: 2.623E-03 | global batch size: 512 | lm loss: 3.945065E+00 | loss scale: 16384.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.646 | TFLOPs: 70.73 | +[default7]: iteration 1202/ 3814 | consumed samples: 615424 | consumed tokens: 1260388352 | elapsed time 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| TFLOPs: 70.90 | +[default7]: iteration 1205/ 3814 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 5.46 | learning rate: 2.619E-03 | global batch size: 512 | lm loss: 3.903266E+00 | loss scale: 16384.0 | grad norm: 0.043 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.700 | TFLOPs: 70.77 | +[default7]: iteration 1206/ 3814 | consumed samples: 617472 | consumed tokens: 1264582656 | elapsed time per iteration (s): 5.48 | learning rate: 2.618E-03 | global batch size: 512 | lm loss: 3.935542E+00 | loss scale: 16384.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.496 | TFLOPs: 70.62 | +[default7]: iteration 1207/ 3814 | consumed samples: 617984 | consumed tokens: 1265631232 | elapsed time per iteration (s): 5.48 | learning rate: 2.617E-03 | global batch size: 512 | lm loss: 3.918490E+00 | loss scale: 16384.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.368 | TFLOPs: 70.52 | +[default7]: iteration 1208/ 3814 | consumed samples: 618496 | consumed tokens: 1266679808 | elapsed time per iteration (s): 5.48 | learning rate: 2.617E-03 | global batch size: 512 | lm loss: 3.883047E+00 | loss scale: 16384.0 | grad norm: 0.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.402 | TFLOPs: 70.55 | +[default7]: iteration 1209/ 3814 | consumed samples: 619008 | consumed tokens: 1267728384 | elapsed time per iteration (s): 5.48 | learning rate: 2.616E-03 | global batch size: 512 | lm loss: 3.906708E+00 | loss scale: 16384.0 | grad norm: 0.043 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.441 | TFLOPs: 70.58 | +[default7]: iteration 1210/ 3814 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time 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| TFLOPs: 70.86 | +[default7]: iteration 1213/ 3814 | consumed samples: 621056 | consumed tokens: 1271922688 | elapsed time per iteration (s): 5.47 | learning rate: 2.612E-03 | global batch size: 512 | lm loss: 3.880606E+00 | loss scale: 16384.0 | grad norm: 0.044 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.681 | TFLOPs: 70.76 | +[default7]: iteration 1214/ 3814 | consumed samples: 621568 | consumed tokens: 1272971264 | elapsed time per iteration (s): 5.47 | learning rate: 2.611E-03 | global batch size: 512 | lm loss: 3.867188E+00 | loss scale: 16384.0 | grad norm: 0.042 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.543 | TFLOPs: 70.65 | +[default7]: iteration 1215/ 3814 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 5.47 | learning rate: 2.611E-03 | global batch size: 512 | lm loss: 3.879932E+00 | loss scale: 16384.0 | 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0 | number of nan iterations: 0 | samples per second: 93.365 | TFLOPs: 70.52 | +[default1]:[2023-02-16 03:36:03,526] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/global_step1500/layer_01-model_01-model_states.pt... +[default7]: iteration 1500/ 3814 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 5.46 | learning rate: 2.336E-03 | global batch size: 512 | lm loss: 3.757478E+00 | loss scale: 32768.0 | grad norm: 0.032 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.706 | TFLOPs: 70.78 | +[default0]:saving checkpoint at iteration 1500 to /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main +[default0]:[2023-02-16 03:36:03,522] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step1500 is begin to save! 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8.62 | learning rate: 2.335E-03 | global batch size: 512 | lm loss: 3.757888E+00 | loss scale: 32768.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 59.401 | TFLOPs: 44.87 | +[default7]: iteration 1502/ 3814 | consumed samples: 769024 | consumed tokens: 1574961152 | elapsed time per iteration (s): 5.46 | learning rate: 2.333E-03 | global batch size: 512 | lm loss: 3.771231E+00 | loss scale: 32768.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.747 | TFLOPs: 70.81 | +[default7]: iteration 1503/ 3814 | consumed samples: 769536 | consumed tokens: 1576009728 | elapsed time per iteration (s): 5.46 | learning rate: 2.332E-03 | global batch size: 512 | lm loss: 3.752754E+00 | loss scale: 32768.0 | grad norm: 0.050 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.690 | TFLOPs: 70.77 | 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.595 | TFLOPs: 70.69 | +[default7]: iteration 1507/ 3814 | consumed samples: 771584 | consumed tokens: 1580204032 | elapsed time per iteration (s): 5.46 | learning rate: 2.328E-03 | global batch size: 512 | lm loss: 3.751409E+00 | loss scale: 32768.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.822 | TFLOPs: 70.86 | +[default7]: iteration 1508/ 3814 | consumed samples: 772096 | consumed tokens: 1581252608 | elapsed time per iteration (s): 5.47 | learning rate: 2.327E-03 | global batch size: 512 | lm loss: 3.714879E+00 | loss scale: 32768.0 | grad norm: 0.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.674 | TFLOPs: 70.75 | +[default7]: iteration 1509/ 3814 | consumed samples: 772608 | consumed tokens: 1582301184 | elapsed time per iteration (s): 5.46 | learning rate: 2.326E-03 | global batch size: 512 | lm loss: 3.721226E+00 | loss scale: 32768.0 | grad norm: 0.048 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.735 | TFLOPs: 70.80 | +[default7]: iteration 1510/ 3814 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 5.46 | learning rate: 2.325E-03 | global batch size: 512 | lm loss: 3.699071E+00 | loss scale: 32768.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.756 | TFLOPs: 70.81 | +[default7]: iteration 1511/ 3814 | consumed samples: 773632 | consumed tokens: 1584398336 | elapsed time per iteration (s): 5.47 | learning rate: 2.324E-03 | global batch size: 512 | lm loss: 3.735690E+00 | loss scale: 32768.0 | grad norm: 0.050 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.683 | TFLOPs: 70.76 | 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.464 | TFLOPs: 70.59 | +[default7]: iteration 1587/ 3814 | consumed samples: 812544 | consumed tokens: 1664090112 | elapsed time per iteration (s): 5.46 | learning rate: 2.242E-03 | global batch size: 512 | lm loss: 3.703116E+00 | loss scale: 32768.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.755 | TFLOPs: 70.81 | +[default7]: iteration 1588/ 3814 | consumed samples: 813056 | consumed tokens: 1665138688 | elapsed time per iteration (s): 5.47 | learning rate: 2.240E-03 | global batch size: 512 | lm loss: 3.686221E+00 | loss scale: 32768.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.639 | TFLOPs: 70.73 | +[default7]: iteration 1589/ 3814 | consumed samples: 813568 | consumed tokens: 1666187264 | elapsed time per iteration (s): 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.612 | TFLOPs: 70.71 | +[default7]: iteration 1595/ 3814 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 5.48 | learning rate: 2.233E-03 | global batch size: 512 | lm loss: 3.705976E+00 | loss scale: 32768.0 | grad norm: 0.063 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.379 | TFLOPs: 70.53 | +[default7]: iteration 1596/ 3814 | consumed samples: 817152 | consumed tokens: 1673527296 | elapsed time per iteration (s): 5.48 | learning rate: 2.232E-03 | global batch size: 512 | lm loss: 3.690346E+00 | loss scale: 32768.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.458 | TFLOPs: 70.59 | +[default7]: iteration 1597/ 3814 | consumed samples: 817664 | consumed tokens: 1674575872 | elapsed time per iteration (s): 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.764 | TFLOPs: 70.82 | +[default7]: iteration 1603/ 3814 | consumed samples: 820736 | consumed tokens: 1680867328 | elapsed time per iteration (s): 5.47 | learning rate: 2.224E-03 | global batch size: 512 | lm loss: 3.675128E+00 | loss scale: 32768.0 | grad norm: 0.049 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.555 | TFLOPs: 70.66 | +[default7]: iteration 1604/ 3814 | consumed samples: 821248 | consumed tokens: 1681915904 | elapsed time per iteration (s): 5.47 | learning rate: 2.223E-03 | global batch size: 512 | lm loss: 3.643538E+00 | loss scale: 32768.0 | grad norm: 0.046 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.531 | TFLOPs: 70.65 | +[default7]: iteration 1605/ 3814 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 5.48 | learning rate: 2.222E-03 | global batch size: 512 | lm loss: 3.655112E+00 | loss scale: 32768.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.452 | TFLOPs: 70.59 | +[default7]: iteration 1606/ 3814 | consumed samples: 822272 | consumed tokens: 1684013056 | elapsed time per iteration (s): 5.49 | learning rate: 2.221E-03 | global batch size: 512 | lm loss: 3.669876E+00 | loss scale: 32768.0 | grad norm: 0.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.311 | TFLOPs: 70.48 | +[default7]: iteration 1607/ 3814 | consumed samples: 822784 | consumed tokens: 1685061632 | elapsed time per iteration (s): 5.49 | learning rate: 2.219E-03 | global batch size: 512 | lm loss: 3.695619E+00 | loss scale: 32768.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.276 | TFLOPs: 70.45 | +[default7]: iteration 1608/ 3814 | consumed samples: 823296 | consumed tokens: 1686110208 | elapsed time per iteration (s): 5.49 | learning rate: 2.218E-03 | global batch size: 512 | lm loss: 3.679705E+00 | loss scale: 32768.0 | grad norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.210 | TFLOPs: 70.40 | +[default7]: iteration 1609/ 3814 | consumed samples: 823808 | consumed tokens: 1687158784 | elapsed time per iteration (s): 5.49 | learning rate: 2.217E-03 | global batch size: 512 | lm loss: 3.669779E+00 | loss scale: 32768.0 | grad norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.193 | TFLOPs: 70.39 | +[default7]: iteration 1610/ 3814 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 5.51 | learning rate: 2.216E-03 | global batch size: 512 | lm loss: 3.689742E+00 | loss scale: 32768.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.964 | TFLOPs: 70.22 | +[default7]: iteration 1611/ 3814 | consumed samples: 824832 | consumed tokens: 1689255936 | elapsed time per iteration (s): 5.50 | learning rate: 2.215E-03 | global batch size: 512 | lm loss: 3.654071E+00 | loss scale: 32768.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.116 | TFLOPs: 70.33 | +[default7]: iteration 1612/ 3814 | consumed samples: 825344 | consumed tokens: 1690304512 | elapsed time per iteration (s): 5.50 | learning rate: 2.214E-03 | global batch size: 512 | lm loss: 3.692469E+00 | loss scale: 32768.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.114 | TFLOPs: 70.33 | +[default7]: iteration 1613/ 3814 | consumed samples: 825856 | consumed tokens: 1691353088 | elapsed time per iteration (s): 5.48 | learning rate: 2.213E-03 | global batch size: 512 | lm loss: 3.678264E+00 | loss scale: 32768.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.424 | TFLOPs: 70.56 | +[default7]: iteration 1614/ 3814 | consumed samples: 826368 | consumed tokens: 1692401664 | elapsed time per iteration (s): 5.48 | learning rate: 2.212E-03 | global batch size: 512 | lm loss: 3.692875E+00 | loss scale: 32768.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.455 | TFLOPs: 70.59 | +[default7]: iteration 1615/ 3814 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 5.48 | learning rate: 2.211E-03 | global batch size: 512 | lm loss: 3.719485E+00 | loss scale: 32768.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.410 | TFLOPs: 70.55 | +[default7]: iteration 1616/ 3814 | consumed samples: 827392 | consumed tokens: 1694498816 | elapsed time per iteration (s): 5.50 | learning rate: 2.209E-03 | global batch size: 512 | lm loss: 3.702932E+00 | loss scale: 32768.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.127 | TFLOPs: 70.34 | +[default7]: iteration 1617/ 3814 | consumed samples: 827904 | consumed tokens: 1695547392 | elapsed time per iteration (s): 5.48 | learning rate: 2.208E-03 | global batch size: 512 | lm loss: 3.696377E+00 | loss scale: 32768.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.379 | TFLOPs: 70.53 | +[default7]: iteration 1618/ 3814 | consumed samples: 828416 | consumed tokens: 1696595968 | elapsed time per iteration (s): 5.48 | learning rate: 2.207E-03 | global batch size: 512 | lm loss: 3.696203E+00 | loss scale: 32768.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.471 | TFLOPs: 70.60 | +[default7]: iteration 1619/ 3814 | consumed samples: 828928 | consumed tokens: 1697644544 | elapsed time per iteration (s): 5.50 | learning rate: 2.206E-03 | global batch size: 512 | lm loss: 3.709078E+00 | loss scale: 32768.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.131 | TFLOPs: 70.34 | +[default7]: iteration 1620/ 3814 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 5.47 | learning rate: 2.205E-03 | global batch size: 512 | lm loss: 3.706414E+00 | loss scale: 32768.0 | grad norm: 0.097 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.667 | TFLOPs: 70.75 | +[default7]: iteration 1621/ 3814 | consumed samples: 829952 | consumed tokens: 1699741696 | elapsed time per iteration (s): 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.737 | TFLOPs: 70.80 | +[default7]: iteration 1635/ 3814 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 5.47 | learning rate: 2.188E-03 | global batch size: 512 | lm loss: 3.656522E+00 | loss scale: 32768.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.602 | TFLOPs: 70.70 | +[default7]: iteration 1636/ 3814 | consumed samples: 837632 | consumed tokens: 1715470336 | elapsed time per iteration (s): 5.46 | learning rate: 2.187E-03 | global batch size: 512 | lm loss: 3.676387E+00 | loss scale: 32768.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.780 | TFLOPs: 70.83 | +[default7]: iteration 1637/ 3814 | consumed samples: 838144 | consumed tokens: 1716518912 | elapsed time per iteration (s): 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.018 | TFLOPs: 70.26 | +[default7]: iteration 1643/ 3814 | consumed samples: 841216 | consumed tokens: 1722810368 | elapsed time per iteration (s): 5.50 | learning rate: 2.179E-03 | global batch size: 512 | lm loss: 3.656330E+00 | loss scale: 32768.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.026 | TFLOPs: 70.26 | +[default7]: iteration 1644/ 3814 | consumed samples: 841728 | consumed tokens: 1723858944 | elapsed time per iteration (s): 5.49 | learning rate: 2.178E-03 | global batch size: 512 | lm loss: 3.663914E+00 | loss scale: 32768.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.218 | TFLOPs: 70.41 | +[default7]: iteration 1645/ 3814 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 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+[default7]: iteration 1648/ 3814 | consumed samples: 843776 | consumed tokens: 1728053248 | elapsed time per iteration (s): 5.48 | learning rate: 2.173E-03 | global batch size: 512 | lm loss: 3.618083E+00 | loss scale: 32768.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.372 | TFLOPs: 70.52 | +[default7]: iteration 1649/ 3814 | consumed samples: 844288 | consumed tokens: 1729101824 | elapsed time per iteration (s): 5.49 | learning rate: 2.172E-03 | global batch size: 512 | lm loss: 3.663861E+00 | loss scale: 32768.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.239 | TFLOPs: 70.42 | +[default7]: iteration 1650/ 3814 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 5.52 | learning rate: 2.171E-03 | global batch size: 512 | lm loss: 3.626008E+00 | loss scale: 32768.0 | grad norm: 0.054 | 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+[default7]: iteration 1656/ 3814 | consumed samples: 847872 | consumed tokens: 1736441856 | elapsed time per iteration (s): 5.51 | learning rate: 2.164E-03 | global batch size: 512 | lm loss: 3.625252E+00 | loss scale: 32768.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.983 | TFLOPs: 70.23 | +[default7]: iteration 1657/ 3814 | consumed samples: 848384 | consumed tokens: 1737490432 | elapsed time per iteration (s): 5.50 | learning rate: 2.163E-03 | global batch size: 512 | lm loss: 3.640469E+00 | loss scale: 32768.0 | grad norm: 0.068 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.009 | TFLOPs: 70.25 | +[default7]: iteration 1658/ 3814 | consumed samples: 848896 | consumed tokens: 1738539008 | elapsed time per iteration (s): 5.50 | learning rate: 2.162E-03 | global batch size: 512 | lm loss: 3.661770E+00 | loss scale: 32768.0 | grad norm: 0.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.035 | TFLOPs: 70.27 | +[default7]: iteration 1659/ 3814 | consumed samples: 849408 | consumed tokens: 1739587584 | elapsed time per iteration (s): 5.49 | learning rate: 2.161E-03 | global batch size: 512 | lm loss: 3.631697E+00 | loss scale: 32768.0 | grad norm: 0.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.203 | TFLOPs: 70.40 | +[default7]: iteration 1660/ 3814 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 5.50 | learning rate: 2.160E-03 | global batch size: 512 | lm loss: 3.651854E+00 | loss scale: 32768.0 | grad norm: 0.066 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.152 | TFLOPs: 70.36 | +[default7]: iteration 1661/ 3814 | consumed samples: 850432 | consumed tokens: 1741684736 | elapsed time per iteration (s): 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.561 | TFLOPs: 70.67 | +[default7]: iteration 1667/ 3814 | consumed samples: 853504 | consumed tokens: 1747976192 | elapsed time per iteration (s): 5.48 | learning rate: 2.152E-03 | global batch size: 512 | lm loss: 3.657615E+00 | loss scale: 32768.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.413 | TFLOPs: 70.56 | +[default7]: iteration 1668/ 3814 | consumed samples: 854016 | consumed tokens: 1749024768 | elapsed time per iteration (s): 5.48 | learning rate: 2.151E-03 | global batch size: 512 | lm loss: 3.619432E+00 | loss scale: 32768.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.358 | TFLOPs: 70.51 | +[default7]: iteration 1669/ 3814 | consumed samples: 854528 | consumed tokens: 1750073344 | elapsed time per iteration (s): 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.367 | TFLOPs: 70.52 | +[default7]: iteration 1675/ 3814 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 5.49 | learning rate: 2.143E-03 | global batch size: 512 | lm loss: 3.660020E+00 | loss scale: 32768.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.321 | TFLOPs: 70.49 | +[default7]: iteration 1676/ 3814 | consumed samples: 858112 | consumed tokens: 1757413376 | elapsed time per iteration (s): 5.48 | learning rate: 2.142E-03 | global batch size: 512 | lm loss: 3.644450E+00 | loss scale: 32768.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.475 | TFLOPs: 70.60 | +[default7]: iteration 1677/ 3814 | consumed samples: 858624 | consumed tokens: 1758461952 | elapsed time per iteration (s): 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num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.103 | TFLOPs: 70.32 | +[default7]: iteration 1683/ 3814 | consumed samples: 861696 | consumed tokens: 1764753408 | elapsed time per iteration (s): 5.49 | learning rate: 2.134E-03 | global batch size: 512 | lm loss: 3.650011E+00 | loss scale: 32768.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.303 | TFLOPs: 70.47 | +[default7]: iteration 1684/ 3814 | consumed samples: 862208 | consumed tokens: 1765801984 | elapsed time per iteration (s): 5.48 | learning rate: 2.132E-03 | global batch size: 512 | lm loss: 3.630191E+00 | loss scale: 32768.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.366 | TFLOPs: 70.52 | +[default7]: iteration 1685/ 3814 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 5.50 | learning rate: 2.131E-03 | global batch size: 512 | lm loss: 3.658405E+00 | loss scale: 32768.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.120 | TFLOPs: 70.33 | +[default7]: iteration 1686/ 3814 | consumed samples: 863232 | consumed tokens: 1767899136 | elapsed time per iteration (s): 5.50 | learning rate: 2.130E-03 | global batch size: 512 | lm loss: 3.625035E+00 | loss scale: 32768.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.103 | TFLOPs: 70.32 | +[default7]: iteration 1687/ 3814 | consumed samples: 863744 | consumed tokens: 1768947712 | elapsed time per iteration (s): 5.49 | learning rate: 2.129E-03 | global batch size: 512 | lm loss: 3.638593E+00 | loss scale: 32768.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.276 | TFLOPs: 70.45 | +[default7]: iteration 1688/ 3814 | consumed samples: 864256 | consumed tokens: 1769996288 | elapsed time per iteration (s): 5.49 | learning rate: 2.128E-03 | global batch size: 512 | lm loss: 3.609021E+00 | loss scale: 32768.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.223 | TFLOPs: 70.41 | +[default7]: iteration 1689/ 3814 | consumed samples: 864768 | consumed tokens: 1771044864 | elapsed time per iteration (s): 5.49 | learning rate: 2.127E-03 | global batch size: 512 | lm loss: 3.607166E+00 | loss scale: 32768.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.285 | TFLOPs: 70.46 | +[default7]: iteration 1690/ 3814 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 5.49 | learning rate: 2.126E-03 | global batch size: 512 | lm loss: 3.631198E+00 | loss scale: 32768.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.249 | TFLOPs: 70.43 | +[default7]: iteration 1691/ 3814 | consumed samples: 865792 | consumed tokens: 1773142016 | elapsed time per iteration (s): 5.47 | learning rate: 2.124E-03 | global batch size: 512 | lm loss: 3.604950E+00 | loss scale: 32768.0 | grad norm: 0.051 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.658 | TFLOPs: 70.74 | +[default7]: iteration 1692/ 3814 | consumed samples: 866304 | consumed tokens: 1774190592 | elapsed time per iteration (s): 5.48 | learning rate: 2.123E-03 | global batch size: 512 | lm loss: 3.637395E+00 | loss scale: 32768.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.487 | TFLOPs: 70.61 | +[default7]: iteration 1693/ 3814 | consumed samples: 866816 | consumed tokens: 1775239168 | elapsed time per iteration (s): 5.48 | learning rate: 2.122E-03 | global batch size: 512 | lm loss: 3.620006E+00 | loss scale: 32768.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.503 | TFLOPs: 70.62 | +[default7]: iteration 1694/ 3814 | consumed samples: 867328 | consumed tokens: 1776287744 | elapsed time per iteration (s): 5.47 | learning rate: 2.121E-03 | global batch size: 512 | lm loss: 3.628289E+00 | loss scale: 32768.0 | grad norm: 0.063 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.555 | TFLOPs: 70.66 | +[default7]: iteration 1695/ 3814 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 5.45 | learning rate: 2.120E-03 | global batch size: 512 | lm loss: 3.586290E+00 | loss scale: 32768.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.871 | TFLOPs: 70.90 | +[default7]: iteration 1696/ 3814 | consumed samples: 868352 | consumed tokens: 1778384896 | elapsed time per iteration (s): 5.47 | learning rate: 2.119E-03 | global batch size: 512 | lm loss: 3.615541E+00 | loss scale: 32768.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.615 | TFLOPs: 70.71 | +[default7]: iteration 1697/ 3814 | consumed samples: 868864 | consumed tokens: 1779433472 | elapsed time per iteration (s): 5.46 | learning rate: 2.118E-03 | global batch size: 512 | lm loss: 3.623489E+00 | loss scale: 32768.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.693 | TFLOPs: 70.77 | +[default7]: iteration 1698/ 3814 | consumed samples: 869376 | consumed tokens: 1780482048 | elapsed time per iteration (s): 5.47 | learning rate: 2.116E-03 | global batch size: 512 | lm loss: 3.598921E+00 | loss scale: 32768.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.599 | TFLOPs: 70.70 | +[default7]: iteration 1699/ 3814 | consumed samples: 869888 | consumed tokens: 1781530624 | elapsed time per iteration (s): 5.48 | learning rate: 2.115E-03 | global batch size: 512 | lm loss: 3.600280E+00 | loss scale: 32768.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.383 | TFLOPs: 70.53 | +[default7]: iteration 1700/ 3814 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 5.48 | learning rate: 2.114E-03 | global batch size: 512 | lm loss: 3.623698E+00 | loss scale: 32768.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.508 | TFLOPs: 70.63 | +[default7]: iteration 1701/ 3814 | consumed samples: 870912 | consumed tokens: 1783627776 | elapsed time per iteration (s): 5.47 | learning rate: 2.113E-03 | global batch size: 512 | lm loss: 3.610051E+00 | loss scale: 32768.0 | grad norm: 0.059 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.649 | TFLOPs: 70.73 | +[default7]: iteration 1702/ 3814 | consumed samples: 871424 | consumed tokens: 1784676352 | elapsed time per iteration (s): 5.48 | learning rate: 2.112E-03 | global batch size: 512 | lm loss: 3.635636E+00 | loss scale: 32768.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.367 | TFLOPs: 70.52 | +[default7]: iteration 1703/ 3814 | consumed samples: 871936 | consumed tokens: 1785724928 | elapsed time per iteration (s): 5.48 | learning rate: 2.111E-03 | global batch size: 512 | lm loss: 3.610706E+00 | loss scale: 32768.0 | grad norm: 0.059 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.486 | TFLOPs: 70.61 | +[default7]: iteration 1704/ 3814 | consumed samples: 872448 | consumed tokens: 1786773504 | elapsed time per iteration (s): 5.47 | learning rate: 2.109E-03 | global batch size: 512 | lm loss: 3.603630E+00 | loss scale: 32768.0 | grad norm: 0.057 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.584 | TFLOPs: 70.68 | +[default7]: iteration 1705/ 3814 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 5.47 | learning rate: 2.108E-03 | global batch size: 512 | lm loss: 3.584207E+00 | loss scale: 32768.0 | grad norm: 0.054 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.672 | TFLOPs: 70.75 | +[default7]: iteration 1706/ 3814 | consumed samples: 873472 | consumed tokens: 1788870656 | elapsed time per iteration (s): 5.46 | learning rate: 2.107E-03 | global batch size: 512 | lm loss: 3.622029E+00 | loss scale: 32768.0 | grad norm: 0.055 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.696 | TFLOPs: 70.77 | +[default7]: iteration 1707/ 3814 | consumed samples: 873984 | consumed tokens: 1789919232 | elapsed time per iteration (s): 5.46 | learning rate: 2.106E-03 | global batch size: 512 | lm loss: 3.596600E+00 | loss scale: 32768.0 | grad norm: 0.056 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.736 | TFLOPs: 70.80 | +[default7]: iteration 1708/ 3814 | consumed samples: 874496 | consumed tokens: 1790967808 | elapsed time per iteration (s): 5.45 | learning rate: 2.105E-03 | global batch size: 512 | lm loss: 3.604612E+00 | loss scale: 32768.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.939 | TFLOPs: 70.95 | +[default7]: iteration 1709/ 3814 | consumed samples: 875008 | consumed tokens: 1792016384 | elapsed time per iteration (s): 5.47 | learning rate: 2.104E-03 | global batch size: 512 | lm loss: 3.608420E+00 | loss scale: 32768.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.592 | TFLOPs: 70.69 | +[default7]: iteration 1710/ 3814 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 5.47 | learning rate: 2.103E-03 | global batch size: 512 | lm loss: 3.604730E+00 | loss scale: 32768.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.609 | TFLOPs: 70.70 | +[default7]: iteration 1711/ 3814 | consumed samples: 876032 | consumed tokens: 1794113536 | elapsed time per iteration (s): 5.47 | learning rate: 2.101E-03 | global batch size: 512 | lm loss: 3.614377E+00 | loss scale: 32768.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.555 | TFLOPs: 70.66 | +[default7]: iteration 1712/ 3814 | consumed samples: 876544 | consumed tokens: 1795162112 | elapsed time per iteration (s): 5.48 | learning rate: 2.100E-03 | global batch size: 512 | lm loss: 3.589827E+00 | loss scale: 32768.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.464 | TFLOPs: 70.59 | +[default7]: iteration 1713/ 3814 | consumed samples: 877056 | consumed tokens: 1796210688 | elapsed time per iteration (s): 5.47 | learning rate: 2.099E-03 | global batch size: 512 | lm loss: 3.598791E+00 | loss scale: 32768.0 | grad norm: 0.066 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.519 | TFLOPs: 70.64 | +[default7]: iteration 1714/ 3814 | consumed samples: 877568 | consumed tokens: 1797259264 | elapsed time per iteration (s): 5.48 | learning rate: 2.098E-03 | global batch size: 512 | lm loss: 3.614956E+00 | loss scale: 32768.0 | grad norm: 0.064 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.427 | TFLOPs: 70.57 | +[default7]: iteration 1715/ 3814 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 5.48 | learning rate: 2.097E-03 | global batch size: 512 | lm loss: 3.591391E+00 | loss scale: 32768.0 | grad norm: 0.059 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.516 | TFLOPs: 70.63 | +[default7]: iteration 1716/ 3814 | consumed samples: 878592 | consumed tokens: 1799356416 | elapsed time per iteration (s): 5.48 | learning rate: 2.096E-03 | global batch size: 512 | lm loss: 3.626068E+00 | loss scale: 32768.0 | grad norm: 0.062 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.424 | TFLOPs: 70.56 | +[default7]: iteration 1717/ 3814 | consumed samples: 879104 | consumed tokens: 1800404992 | elapsed time per iteration (s): 5.47 | learning rate: 2.094E-03 | global batch size: 512 | lm loss: 3.592914E+00 | loss scale: 32768.0 | grad norm: 0.058 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.613 | TFLOPs: 70.71 | +[default7]: iteration 1718/ 3814 | consumed samples: 879616 | consumed tokens: 1801453568 | elapsed time per iteration (s): 5.48 | learning rate: 2.093E-03 | global batch size: 512 | lm loss: 3.614557E+00 | loss scale: 32768.0 | grad norm: 0.063 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.419 | TFLOPs: 70.56 | +[default7]: iteration 1719/ 3814 | consumed samples: 880128 | consumed tokens: 1802502144 | elapsed time per iteration (s): 5.48 | learning rate: 2.092E-03 | global batch size: 512 | lm loss: 3.605904E+00 | loss scale: 32768.0 | grad norm: 0.066 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.448 | TFLOPs: 70.58 | +[default7]: iteration 1720/ 3814 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 5.49 | learning rate: 2.091E-03 | global batch size: 512 | lm loss: 3.604296E+00 | loss scale: 32768.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.277 | TFLOPs: 70.45 | +[default7]: iteration 1721/ 3814 | consumed samples: 881152 | consumed tokens: 1804599296 | elapsed time per iteration (s): 5.49 | learning rate: 2.090E-03 | global batch size: 512 | lm loss: 3.627893E+00 | loss scale: 32768.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.312 | TFLOPs: 70.48 | +[default7]: iteration 1722/ 3814 | consumed samples: 881664 | consumed tokens: 1805647872 | elapsed time per iteration (s): 5.48 | learning rate: 2.089E-03 | global batch size: 512 | lm loss: 3.621341E+00 | loss scale: 32768.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.490 | TFLOPs: 70.61 | +[default7]: iteration 1723/ 3814 | consumed samples: 882176 | consumed tokens: 1806696448 | elapsed time per iteration (s): 5.47 | learning rate: 2.087E-03 | global batch size: 512 | lm loss: 3.584342E+00 | loss scale: 32768.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.543 | TFLOPs: 70.65 | +[default7]: iteration 1724/ 3814 | consumed samples: 882688 | consumed tokens: 1807745024 | elapsed time per iteration (s): 5.47 | learning rate: 2.086E-03 | global batch size: 512 | lm loss: 3.603146E+00 | loss scale: 32768.0 | grad norm: 0.066 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.647 | TFLOPs: 70.73 | +[default7]: iteration 1725/ 3814 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 5.48 | learning rate: 2.085E-03 | global batch size: 512 | lm loss: 3.599453E+00 | loss scale: 32768.0 | grad norm: 0.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.490 | TFLOPs: 70.61 | +[default7]: iteration 1726/ 3814 | consumed samples: 883712 | consumed tokens: 1809842176 | elapsed time per iteration (s): 5.48 | learning rate: 2.084E-03 | global batch size: 512 | lm loss: 3.615028E+00 | loss scale: 32768.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.400 | TFLOPs: 70.55 | +[default7]: iteration 1727/ 3814 | consumed samples: 884224 | consumed tokens: 1810890752 | elapsed time per iteration (s): 5.48 | learning rate: 2.083E-03 | global batch size: 512 | lm loss: 3.640531E+00 | loss scale: 32768.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.510 | TFLOPs: 70.63 | +[default7]: iteration 1728/ 3814 | consumed samples: 884736 | consumed tokens: 1811939328 | elapsed time per iteration (s): 5.47 | learning rate: 2.082E-03 | global batch size: 512 | lm loss: 3.610270E+00 | loss scale: 32768.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.542 | TFLOPs: 70.65 | +[default7]: iteration 1729/ 3814 | consumed samples: 885248 | consumed tokens: 1812987904 | elapsed time per iteration (s): 5.48 | learning rate: 2.081E-03 | global batch size: 512 | lm loss: 3.652745E+00 | loss scale: 32768.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.470 | TFLOPs: 70.60 | +[default7]: iteration 1730/ 3814 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 5.47 | learning rate: 2.079E-03 | global batch size: 512 | lm loss: 3.617168E+00 | loss scale: 32768.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.622 | TFLOPs: 70.71 | +[default7]: iteration 1731/ 3814 | consumed samples: 886272 | consumed tokens: 1815085056 | elapsed time per iteration (s): 5.49 | learning rate: 2.078E-03 | global batch size: 512 | lm loss: 3.606480E+00 | loss scale: 32768.0 | grad norm: 0.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.334 | TFLOPs: 70.50 | +[default7]: iteration 1732/ 3814 | consumed samples: 886784 | consumed tokens: 1816133632 | elapsed time per iteration (s): 5.49 | learning rate: 2.077E-03 | global batch size: 512 | lm loss: 3.628801E+00 | loss scale: 32768.0 | grad norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.322 | TFLOPs: 70.49 | +[default7]: iteration 1733/ 3814 | consumed samples: 887296 | consumed tokens: 1817182208 | elapsed time per iteration (s): 5.47 | learning rate: 2.076E-03 | global batch size: 512 | lm loss: 3.588959E+00 | loss scale: 32768.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.578 | TFLOPs: 70.68 | +[default7]: iteration 1734/ 3814 | consumed samples: 887808 | consumed tokens: 1818230784 | elapsed time per iteration (s): 5.49 | learning rate: 2.075E-03 | global batch size: 512 | lm loss: 3.617597E+00 | loss scale: 32768.0 | grad norm: 0.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.330 | TFLOPs: 70.49 | +[default7]: iteration 1735/ 3814 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 5.48 | learning rate: 2.074E-03 | global batch size: 512 | lm loss: 3.613048E+00 | loss scale: 32768.0 | grad norm: 0.068 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.446 | TFLOPs: 70.58 | +[default7]: iteration 1736/ 3814 | consumed samples: 888832 | consumed tokens: 1820327936 | elapsed time per iteration (s): 5.49 | learning rate: 2.072E-03 | global batch size: 512 | lm loss: 3.611179E+00 | loss scale: 32768.0 | grad norm: 0.068 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.278 | TFLOPs: 70.45 | +[default7]: iteration 1737/ 3814 | consumed samples: 889344 | consumed tokens: 1821376512 | elapsed time per iteration (s): 5.47 | learning rate: 2.071E-03 | global batch size: 512 | lm loss: 3.619397E+00 | loss scale: 32768.0 | grad norm: 0.060 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.568 | TFLOPs: 70.67 | +[default7]: iteration 1738/ 3814 | consumed samples: 889856 | consumed tokens: 1822425088 | elapsed time per iteration (s): 5.50 | learning rate: 2.070E-03 | global batch size: 512 | lm loss: 3.603133E+00 | loss scale: 32768.0 | grad norm: 0.061 | 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1750 is ready now! +[default0]: successfully saved checkpoint at iteration 1750 to /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main +[default4]:[2023-02-16 03:58:59,137] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/global_step1750/zero_pp_rank_10_mp_rank_00_optim_states.pt. +[default4]:[2023-02-16 03:58:59,137] [INFO] [engine.py:3199:_save_zero_checkpoint] zero checkpoint saved /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/global_step1750/zero_pp_rank_10_mp_rank_00_optim_states.pt +[default4]:[2023-02-16 03:58:59,138] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step1750 is ready now! +[default7]: iteration 1751/ 3814 | consumed samples: 896512 | consumed 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second: 93.205 | TFLOPs: 70.40 | +[default7]: iteration 2020/ 3814 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 5.50 | learning rate: 1.731E-03 | global batch size: 512 | lm loss: 3.446800E+00 | loss scale: 65536.0 | grad norm: 0.068 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.157 | TFLOPs: 70.36 | +[default7]: iteration 2021/ 3814 | consumed samples: 1034752 | consumed tokens: 2119172096 | elapsed time per iteration (s): 5.51 | learning rate: 1.730E-03 | global batch size: 512 | lm loss: 3.447148E+00 | loss scale: 65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.892 | TFLOPs: 70.16 | +[default7]: iteration 2022/ 3814 | consumed samples: 1035264 | consumed tokens: 2120220672 | elapsed time per iteration (s): 5.52 | learning rate: 1.729E-03 | global batch size: 512 | lm loss: 3.491804E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.818 | TFLOPs: 70.11 | +[default7]: iteration 2023/ 3814 | consumed samples: 1035776 | consumed tokens: 2121269248 | elapsed time per iteration (s): 5.50 | learning rate: 1.727E-03 | global batch size: 512 | lm loss: 3.436851E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.085 | TFLOPs: 70.31 | +[default7]: iteration 2024/ 3814 | consumed samples: 1036288 | consumed tokens: 2122317824 | elapsed time per iteration (s): 5.49 | learning rate: 1.726E-03 | global batch size: 512 | lm loss: 3.468824E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.264 | TFLOPs: 70.44 | +[default7]: iteration 2025/ 3814 | consumed samples: 1036800 | consumed tokens: 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| samples per second: 93.105 | TFLOPs: 70.32 | +[default7]: iteration 2028/ 3814 | consumed samples: 1038336 | consumed tokens: 2126512128 | elapsed time per iteration (s): 5.50 | learning rate: 1.721E-03 | global batch size: 512 | lm loss: 3.508756E+00 | loss scale: 65536.0 | grad norm: 0.068 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.109 | TFLOPs: 70.33 | +[default7]: iteration 2029/ 3814 | consumed samples: 1038848 | consumed tokens: 2127560704 | elapsed time per iteration (s): 5.50 | learning rate: 1.720E-03 | global batch size: 512 | lm loss: 3.453977E+00 | loss scale: 65536.0 | grad norm: 0.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.114 | TFLOPs: 70.33 | +[default7]: iteration 2030/ 3814 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 5.49 | learning rate: 1.719E-03 | global batch size: 512 | lm loss: 3.450972E+00 | loss scale: 65536.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.330 | TFLOPs: 70.49 | +[default7]: iteration 2031/ 3814 | consumed samples: 1039872 | consumed tokens: 2129657856 | elapsed time per iteration (s): 5.50 | learning rate: 1.718E-03 | global batch size: 512 | lm loss: 3.457817E+00 | loss scale: 65536.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.045 | TFLOPs: 70.28 | +[default7]: iteration 2032/ 3814 | consumed samples: 1040384 | consumed tokens: 2130706432 | elapsed time per iteration (s): 5.50 | learning rate: 1.716E-03 | global batch size: 512 | lm loss: 3.483778E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.027 | TFLOPs: 70.26 | +[default7]: iteration 2033/ 3814 | consumed samples: 1040896 | 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nan iterations: 0 | samples per second: 93.055 | TFLOPs: 70.29 | +[default7]: iteration 2036/ 3814 | consumed samples: 1042432 | consumed tokens: 2134900736 | elapsed time per iteration (s): 5.50 | learning rate: 1.712E-03 | global batch size: 512 | lm loss: 3.484086E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.095 | TFLOPs: 70.32 | +[default7]: iteration 2037/ 3814 | consumed samples: 1042944 | consumed tokens: 2135949312 | elapsed time per iteration (s): 5.50 | learning rate: 1.710E-03 | global batch size: 512 | lm loss: 3.473055E+00 | loss scale: 65536.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.106 | TFLOPs: 70.32 | +[default7]: iteration 2038/ 3814 | consumed samples: 1043456 | consumed tokens: 2136997888 | elapsed time per iteration (s): 5.50 | learning rate: 1.709E-03 | global batch size: 512 | lm loss: 3.422854E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.055 | TFLOPs: 70.29 | +[default7]: iteration 2039/ 3814 | consumed samples: 1043968 | consumed tokens: 2138046464 | elapsed time per iteration (s): 5.49 | learning rate: 1.708E-03 | global batch size: 512 | lm loss: 3.467278E+00 | loss scale: 65536.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.188 | TFLOPs: 70.39 | +[default7]: iteration 2040/ 3814 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 5.49 | learning rate: 1.707E-03 | global batch size: 512 | lm loss: 3.487825E+00 | loss scale: 65536.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.206 | TFLOPs: 70.40 | +[default7]: iteration 2041/ 3814 | consumed samples: 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number of nan iterations: 0 | samples per second: 93.342 | TFLOPs: 70.50 | +[default7]: iteration 2044/ 3814 | consumed samples: 1046528 | consumed tokens: 2143289344 | elapsed time per iteration (s): 5.48 | learning rate: 1.702E-03 | global batch size: 512 | lm loss: 3.453279E+00 | loss scale: 65536.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.472 | TFLOPs: 70.60 | +[default7]: iteration 2045/ 3814 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 5.50 | learning rate: 1.700E-03 | global batch size: 512 | lm loss: 3.471874E+00 | loss scale: 65536.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.028 | TFLOPs: 70.26 | +[default7]: iteration 2046/ 3814 | consumed samples: 1047552 | consumed tokens: 2145386496 | elapsed time per iteration (s): 5.49 | learning rate: 1.699E-03 | global batch size: 512 | lm loss: 3.449533E+00 | loss scale: 65536.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.262 | TFLOPs: 70.44 | +[default7]: iteration 2047/ 3814 | consumed samples: 1048064 | consumed tokens: 2146435072 | elapsed time per iteration (s): 5.49 | learning rate: 1.698E-03 | global batch size: 512 | lm loss: 3.469744E+00 | loss scale: 65536.0 | grad norm: 0.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.267 | TFLOPs: 70.45 | +[default7]: iteration 2048/ 3814 | consumed samples: 1048576 | consumed tokens: 2147483648 | elapsed time per iteration (s): 5.50 | learning rate: 1.697E-03 | global batch size: 512 | lm loss: 3.467125E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.164 | TFLOPs: 70.37 | +[default7]: iteration 2049/ 3814 | consumed 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iterations: 0 | number of nan iterations: 0 | samples per second: 92.904 | TFLOPs: 70.17 | +[default7]: iteration 2052/ 3814 | consumed samples: 1050624 | consumed tokens: 2151677952 | elapsed time per iteration (s): 5.49 | learning rate: 1.692E-03 | global batch size: 512 | lm loss: 3.492037E+00 | loss scale: 65536.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.186 | TFLOPs: 70.38 | +[default7]: iteration 2053/ 3814 | consumed samples: 1051136 | consumed tokens: 2152726528 | elapsed time per iteration (s): 5.49 | learning rate: 1.691E-03 | global batch size: 512 | lm loss: 3.452067E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.327 | TFLOPs: 70.49 | +[default7]: iteration 2054/ 3814 | consumed samples: 1051648 | consumed tokens: 2153775104 | elapsed time per iteration (s): 5.49 | learning rate: 1.689E-03 | global batch size: 512 | lm loss: 3.456316E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.300 | TFLOPs: 70.47 | +[default7]: iteration 2055/ 3814 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 5.49 | learning rate: 1.688E-03 | global batch size: 512 | lm loss: 3.468110E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.209 | TFLOPs: 70.40 | +[default7]: iteration 2056/ 3814 | consumed samples: 1052672 | consumed tokens: 2155872256 | elapsed time per iteration (s): 5.51 | learning rate: 1.687E-03 | global batch size: 512 | lm loss: 3.448876E+00 | loss scale: 65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.987 | TFLOPs: 70.23 | +[default7]: iteration 2057/ 3814 | consumed samples: 1053184 | consumed tokens: 2156920832 | elapsed time per iteration (s): 5.50 | learning rate: 1.686E-03 | global batch size: 512 | lm loss: 3.470817E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.123 | TFLOPs: 70.34 | +[default7]: iteration 2058/ 3814 | consumed samples: 1053696 | consumed tokens: 2157969408 | elapsed time per iteration (s): 5.51 | learning rate: 1.685E-03 | global batch size: 512 | lm loss: 3.473276E+00 | loss scale: 65536.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.892 | TFLOPs: 70.16 | +[default7]: iteration 2059/ 3814 | consumed samples: 1054208 | consumed tokens: 2159017984 | elapsed time per iteration (s): 5.50 | learning rate: 1.683E-03 | global batch size: 512 | lm loss: 3.485162E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.088 | TFLOPs: 70.31 | +[default7]: iteration 2060/ 3814 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 5.51 | learning rate: 1.682E-03 | global batch size: 512 | lm loss: 3.488735E+00 | loss scale: 65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.973 | TFLOPs: 70.22 | +[default7]: iteration 2061/ 3814 | consumed samples: 1055232 | consumed tokens: 2161115136 | elapsed time per iteration (s): 5.50 | learning rate: 1.681E-03 | global batch size: 512 | lm loss: 3.434102E+00 | loss scale: 65536.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.059 | TFLOPs: 70.29 | +[default7]: iteration 2062/ 3814 | consumed samples: 1055744 | consumed tokens: 2162163712 | elapsed time per iteration (s): 5.49 | learning rate: 1.680E-03 | global batch size: 512 | lm loss: 3.416455E+00 | loss scale: 65536.0 | grad norm: 0.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.292 | TFLOPs: 70.46 | +[default7]: iteration 2063/ 3814 | consumed samples: 1056256 | consumed tokens: 2163212288 | elapsed time per iteration (s): 5.48 | learning rate: 1.678E-03 | global batch size: 512 | lm loss: 3.443415E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.353 | TFLOPs: 70.51 | +[default7]: iteration 2064/ 3814 | consumed samples: 1056768 | consumed tokens: 2164260864 | elapsed time per iteration (s): 5.49 | learning rate: 1.677E-03 | global batch size: 512 | lm loss: 3.462036E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.202 | TFLOPs: 70.40 | +[default7]: 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0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.539 | TFLOPs: 70.65 | +[default7]: iteration 2068/ 3814 | consumed samples: 1058816 | consumed tokens: 2168455168 | elapsed time per iteration (s): 5.48 | learning rate: 1.672E-03 | global batch size: 512 | lm loss: 3.442151E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.456 | TFLOPs: 70.59 | +[default7]: iteration 2069/ 3814 | consumed samples: 1059328 | consumed tokens: 2169503744 | elapsed time per iteration (s): 5.47 | learning rate: 1.671E-03 | global batch size: 512 | lm loss: 3.451222E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.529 | TFLOPs: 70.64 | +[default7]: iteration 2070/ 3814 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 5.49 | learning rate: 1.670E-03 | global batch size: 512 | lm loss: 3.442706E+00 | loss scale: 65536.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.296 | TFLOPs: 70.47 | +[default7]: iteration 2071/ 3814 | consumed samples: 1060352 | consumed tokens: 2171600896 | elapsed time per iteration (s): 5.48 | learning rate: 1.669E-03 | global batch size: 512 | lm loss: 3.473594E+00 | loss scale: 65536.0 | grad norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.376 | TFLOPs: 70.53 | +[default7]: iteration 2072/ 3814 | consumed samples: 1060864 | consumed tokens: 2172649472 | elapsed time per iteration (s): 5.49 | learning rate: 1.667E-03 | global batch size: 512 | lm loss: 3.438992E+00 | loss scale: 65536.0 | grad norm: 0.065 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.330 | TFLOPs: 70.49 | 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| num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.264 | TFLOPs: 70.44 | +[default7]: iteration 2076/ 3814 | consumed samples: 1062912 | consumed tokens: 2176843776 | elapsed time per iteration (s): 5.48 | learning rate: 1.662E-03 | global batch size: 512 | lm loss: 3.425504E+00 | loss scale: 65536.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.510 | TFLOPs: 70.63 | +[default7]: iteration 2077/ 3814 | consumed samples: 1063424 | consumed tokens: 2177892352 | elapsed time per iteration (s): 5.49 | learning rate: 1.661E-03 | global batch size: 512 | lm loss: 3.452049E+00 | loss scale: 65536.0 | grad norm: 0.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.304 | TFLOPs: 70.47 | +[default7]: iteration 2078/ 3814 | consumed samples: 1063936 | consumed tokens: 2178940928 | elapsed time per iteration 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second: 93.181 | TFLOPs: 70.38 | +[default7]: iteration 2097/ 3814 | consumed samples: 1073664 | consumed tokens: 2198863872 | elapsed time per iteration (s): 5.49 | learning rate: 1.637E-03 | global batch size: 512 | lm loss: 3.461944E+00 | loss scale: 65536.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.322 | TFLOPs: 70.49 | +[default7]: iteration 2098/ 3814 | consumed samples: 1074176 | consumed tokens: 2199912448 | elapsed time per iteration (s): 5.50 | learning rate: 1.635E-03 | global batch size: 512 | lm loss: 3.439858E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.052 | TFLOPs: 70.28 | +[default7]: iteration 2099/ 3814 | consumed samples: 1074688 | consumed tokens: 2200961024 | elapsed time per iteration (s): 5.50 | learning rate: 1.634E-03 | global batch size: 512 | lm loss: 3.402427E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.150 | TFLOPs: 70.36 | +[default7]: iteration 2100/ 3814 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 5.49 | learning rate: 1.633E-03 | global batch size: 512 | lm loss: 3.422774E+00 | loss scale: 65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.321 | TFLOPs: 70.49 | +[default7]: iteration 2101/ 3814 | consumed samples: 1075712 | consumed tokens: 2203058176 | elapsed time per iteration (s): 5.49 | learning rate: 1.632E-03 | global batch size: 512 | lm loss: 3.460508E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.318 | TFLOPs: 70.48 | +[default7]: iteration 2102/ 3814 | consumed samples: 1076224 | consumed tokens: 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| samples per second: 93.207 | TFLOPs: 70.40 | +[default7]: iteration 2105/ 3814 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 5.48 | learning rate: 1.627E-03 | global batch size: 512 | lm loss: 3.426517E+00 | loss scale: 65536.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.369 | TFLOPs: 70.52 | +[default7]: iteration 2106/ 3814 | consumed samples: 1078272 | consumed tokens: 2208301056 | elapsed time per iteration (s): 5.50 | learning rate: 1.626E-03 | global batch size: 512 | lm loss: 3.451718E+00 | loss scale: 65536.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.093 | TFLOPs: 70.31 | +[default7]: iteration 2107/ 3814 | consumed samples: 1078784 | consumed tokens: 2209349632 | elapsed time per iteration (s): 5.50 | learning rate: 1.624E-03 | global batch size: 512 | lm loss: 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| lm loss: 3.456250E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.578 | TFLOPs: 70.68 | +[default7]: iteration 2116/ 3814 | consumed samples: 1083392 | consumed tokens: 2218786816 | elapsed time per iteration (s): 5.50 | learning rate: 1.613E-03 | global batch size: 512 | lm loss: 3.439771E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.104 | TFLOPs: 70.32 | +[default7]: iteration 2117/ 3814 | consumed samples: 1083904 | consumed tokens: 2219835392 | elapsed time per iteration (s): 5.49 | learning rate: 1.612E-03 | global batch size: 512 | lm loss: 3.416412E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.298 | TFLOPs: 70.47 | +[default7]: iteration 2118/ 3814 | consumed samples: 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| global batch size: 512 | lm loss: 3.445833E+00 | loss scale: 65536.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.420 | TFLOPs: 70.56 | +[default7]: iteration 2132/ 3814 | consumed samples: 1091584 | consumed tokens: 2235564032 | elapsed time per iteration (s): 5.48 | learning rate: 1.594E-03 | global batch size: 512 | lm loss: 3.437622E+00 | loss scale: 65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.425 | TFLOPs: 70.56 | +[default7]: iteration 2133/ 3814 | consumed samples: 1092096 | consumed tokens: 2236612608 | elapsed time per iteration (s): 5.48 | learning rate: 1.593E-03 | global batch size: 512 | lm loss: 3.445355E+00 | loss scale: 65536.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.380 | TFLOPs: 70.53 | +[default7]: iteration 2134/ 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norm: 0.067 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.136 | TFLOPs: 70.35 | +[default7]: iteration 2161/ 3814 | consumed samples: 1106432 | consumed tokens: 2265972736 | elapsed time per iteration (s): 5.48 | learning rate: 1.558E-03 | global batch size: 512 | lm loss: 3.415556E+00 | loss scale: 65536.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.472 | TFLOPs: 70.60 | +[default7]: iteration 2162/ 3814 | consumed samples: 1106944 | consumed tokens: 2267021312 | elapsed time per iteration (s): 5.50 | learning rate: 1.557E-03 | global batch size: 512 | lm loss: 3.399992E+00 | loss scale: 65536.0 | grad norm: 0.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.032 | TFLOPs: 70.27 | +[default7]: iteration 2163/ 3814 | consumed samples: 1107456 | consumed tokens: 2268069888 | elapsed time 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65536.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.187 | TFLOPs: 70.39 | +[default7]: iteration 2169/ 3814 | consumed samples: 1110528 | consumed tokens: 2274361344 | elapsed time per iteration (s): 5.49 | learning rate: 1.548E-03 | global batch size: 512 | lm loss: 3.404628E+00 | loss scale: 65536.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.200 | TFLOPs: 70.39 | +[default7]: iteration 2170/ 3814 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 5.50 | learning rate: 1.547E-03 | global batch size: 512 | lm loss: 3.388252E+00 | loss scale: 65536.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.110 | TFLOPs: 70.33 | +[default7]: iteration 2171/ 3814 | consumed samples: 1111552 | consumed tokens: 2276458496 | elapsed time per iteration (s): 5.49 | learning rate: 1.546E-03 | global batch size: 512 | lm loss: 3.401537E+00 | loss scale: 65536.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.234 | TFLOPs: 70.42 | +[default7]: iteration 2172/ 3814 | consumed samples: 1112064 | consumed tokens: 2277507072 | elapsed time per iteration (s): 5.51 | learning rate: 1.545E-03 | global batch size: 512 | lm loss: 3.376992E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.869 | TFLOPs: 70.15 | +[default7]: iteration 2173/ 3814 | consumed samples: 1112576 | consumed tokens: 2278555648 | elapsed time per iteration (s): 5.49 | learning rate: 1.544E-03 | global batch size: 512 | lm loss: 3.422846E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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3.427197E+00 | loss scale: 65536.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.175 | TFLOPs: 70.38 | +[default7]: iteration 2185/ 3814 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 5.49 | learning rate: 1.529E-03 | global batch size: 512 | lm loss: 3.409302E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.311 | TFLOPs: 70.48 | +[default7]: iteration 2186/ 3814 | consumed samples: 1119232 | consumed tokens: 2292187136 | elapsed time per iteration (s): 5.49 | learning rate: 1.528E-03 | global batch size: 512 | lm loss: 3.424349E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.225 | TFLOPs: 70.41 | +[default7]: iteration 2187/ 3814 | consumed samples: 1119744 | 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| lm loss: 3.420141E+00 | loss scale: 65536.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.378 | TFLOPs: 70.53 | +[default7]: iteration 2193/ 3814 | consumed samples: 1122816 | consumed tokens: 2299527168 | elapsed time per iteration (s): 5.49 | learning rate: 1.519E-03 | global batch size: 512 | lm loss: 3.446166E+00 | loss scale: 65536.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.306 | TFLOPs: 70.48 | +[default7]: iteration 2194/ 3814 | consumed samples: 1123328 | consumed tokens: 2300575744 | elapsed time per iteration (s): 5.51 | learning rate: 1.518E-03 | global batch size: 512 | lm loss: 3.431834E+00 | loss scale: 65536.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.989 | TFLOPs: 70.24 | +[default7]: iteration 2195/ 3814 | consumed samples: 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checkpoint saved /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/global_step2250/zero_pp_rank_30_mp_rank_00_optim_states.pt +[default4]:[2023-02-16 04:44:50,187] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step2250 is ready now! +[default0]: successfully saved checkpoint at iteration 2250 to /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main +[default7]:time (ms) | save-checkpoint: 3075.15 +[default7]: iteration 2251/ 3814 | consumed samples: 1152512 | consumed tokens: 2360344576 | elapsed time per iteration (s): 8.58 | learning rate: 1.449E-03 | global batch size: 512 | lm loss: 3.387206E+00 | loss scale: 65536.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 59.703 | TFLOPs: 45.09 | +[default7]: iteration 2252/ 3814 | consumed samples: 1153024 | consumed tokens: 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| lm loss: 3.351642E+00 | loss scale: 65536.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.329 | TFLOPs: 70.49 | +[default7]: iteration 2266/ 3814 | consumed samples: 1160192 | consumed tokens: 2376073216 | elapsed time per iteration (s): 5.48 | learning rate: 1.430E-03 | global batch size: 512 | lm loss: 3.371853E+00 | loss scale: 65536.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.428 | TFLOPs: 70.57 | +[default7]: iteration 2267/ 3814 | consumed samples: 1160704 | consumed tokens: 2377121792 | elapsed time per iteration (s): 5.50 | learning rate: 1.429E-03 | global batch size: 512 | lm loss: 3.423138E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.021 | TFLOPs: 70.26 | +[default7]: iteration 2268/ 3814 | consumed samples: 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| global batch size: 512 | lm loss: 3.391935E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.952 | TFLOPs: 70.21 | +[default7]: iteration 2282/ 3814 | consumed samples: 1168384 | consumed tokens: 2392850432 | elapsed time per iteration (s): 5.51 | learning rate: 1.411E-03 | global batch size: 512 | lm loss: 3.358264E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.910 | TFLOPs: 70.18 | +[default7]: iteration 2283/ 3814 | consumed samples: 1168896 | consumed tokens: 2393899008 | elapsed time per iteration (s): 5.49 | learning rate: 1.410E-03 | global batch size: 512 | lm loss: 3.354279E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.230 | TFLOPs: 70.42 | +[default7]: iteration 2284/ 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65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.030 | TFLOPs: 70.27 | +[default7]: iteration 2319/ 3814 | consumed samples: 1187328 | consumed tokens: 2431647744 | elapsed time per iteration (s): 5.48 | learning rate: 1.366E-03 | global batch size: 512 | lm loss: 3.376779E+00 | loss scale: 65536.0 | grad norm: 0.069 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.459 | TFLOPs: 70.59 | +[default7]: iteration 2320/ 3814 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 5.47 | learning rate: 1.365E-03 | global batch size: 512 | lm loss: 3.352116E+00 | loss scale: 65536.0 | grad norm: 0.068 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.537 | TFLOPs: 70.65 | +[default7]: iteration 2321/ 3814 | consumed samples: 1188352 | consumed tokens: 2433744896 | 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scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.394 | TFLOPs: 70.54 | +[default7]: iteration 2327/ 3814 | consumed samples: 1191424 | consumed tokens: 2440036352 | elapsed time per iteration (s): 5.49 | learning rate: 1.357E-03 | global batch size: 512 | lm loss: 3.323348E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.289 | TFLOPs: 70.46 | +[default7]: iteration 2328/ 3814 | consumed samples: 1191936 | consumed tokens: 2441084928 | elapsed time per iteration (s): 5.48 | learning rate: 1.356E-03 | global batch size: 512 | lm loss: 3.356333E+00 | loss scale: 65536.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.489 | TFLOPs: 70.61 | +[default7]: iteration 2329/ 3814 | consumed samples: 1192448 | consumed tokens: 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| samples per second: 93.247 | TFLOPs: 70.43 | +[default7]: iteration 2332/ 3814 | consumed samples: 1193984 | consumed tokens: 2445279232 | elapsed time per iteration (s): 5.47 | learning rate: 1.351E-03 | global batch size: 512 | lm loss: 3.366226E+00 | loss scale: 65536.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.572 | TFLOPs: 70.68 | +[default7]: iteration 2333/ 3814 | consumed samples: 1194496 | consumed tokens: 2446327808 | elapsed time per iteration (s): 5.47 | learning rate: 1.350E-03 | global batch size: 512 | lm loss: 3.367134E+00 | loss scale: 65536.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.554 | TFLOPs: 70.66 | +[default7]: iteration 2334/ 3814 | consumed samples: 1195008 | consumed tokens: 2447376384 | elapsed time per iteration (s): 5.47 | learning rate: 1.349E-03 | global batch size: 512 | lm loss: 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| lm loss: 3.322504E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.605 | TFLOPs: 70.70 | +[default7]: iteration 2343/ 3814 | consumed samples: 1199616 | consumed tokens: 2456813568 | elapsed time per iteration (s): 5.47 | learning rate: 1.338E-03 | global batch size: 512 | lm loss: 3.376943E+00 | loss scale: 65536.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.558 | TFLOPs: 70.67 | +[default7]: iteration 2344/ 3814 | consumed samples: 1200128 | consumed tokens: 2457862144 | elapsed time per iteration (s): 5.49 | learning rate: 1.337E-03 | global batch size: 512 | lm loss: 3.342477E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.332 | TFLOPs: 70.49 | +[default7]: iteration 2345/ 3814 | consumed samples: 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| global batch size: 512 | lm loss: 3.367192E+00 | loss scale: 65536.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.281 | TFLOPs: 70.46 | +[default7]: iteration 2359/ 3814 | consumed samples: 1207808 | consumed tokens: 2473590784 | elapsed time per iteration (s): 5.49 | learning rate: 1.319E-03 | global batch size: 512 | lm loss: 3.338936E+00 | loss scale: 65536.0 | grad norm: 0.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.202 | TFLOPs: 70.40 | +[default7]: iteration 2360/ 3814 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 5.50 | learning rate: 1.318E-03 | global batch size: 512 | lm loss: 3.357803E+00 | loss scale: 65536.0 | grad norm: 0.101 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.108 | TFLOPs: 70.33 | +[default7]: iteration 2361/ 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| num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.119 | TFLOPs: 70.33 | +[default7]: iteration 2380/ 3814 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 5.51 | learning rate: 1.294E-03 | global batch size: 512 | lm loss: 3.352522E+00 | loss scale: 65536.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.960 | TFLOPs: 70.21 | +[default7]: iteration 2381/ 3814 | consumed samples: 1219072 | consumed tokens: 2496659456 | elapsed time per iteration (s): 5.50 | learning rate: 1.293E-03 | global batch size: 512 | lm loss: 3.351333E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.048 | TFLOPs: 70.28 | +[default7]: iteration 2382/ 3814 | consumed samples: 1219584 | consumed tokens: 2497708032 | elapsed time per iteration 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norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.268 | TFLOPs: 70.45 | +[default7]: iteration 2388/ 3814 | consumed samples: 1222656 | consumed tokens: 2503999488 | elapsed time per iteration (s): 5.49 | learning rate: 1.284E-03 | global batch size: 512 | lm loss: 3.352925E+00 | loss scale: 65536.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.311 | TFLOPs: 70.48 | +[default7]: iteration 2389/ 3814 | consumed samples: 1223168 | consumed tokens: 2505048064 | elapsed time per iteration (s): 5.51 | learning rate: 1.283E-03 | global batch size: 512 | lm loss: 3.364687E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.864 | TFLOPs: 70.14 | +[default7]: iteration 2390/ 3814 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time 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65536.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.184 | TFLOPs: 70.38 | +[default7]: iteration 2396/ 3814 | consumed samples: 1226752 | consumed tokens: 2512388096 | elapsed time per iteration (s): 5.50 | learning rate: 1.275E-03 | global batch size: 512 | lm loss: 3.384174E+00 | loss scale: 65536.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.078 | TFLOPs: 70.30 | +[default7]: iteration 2397/ 3814 | consumed samples: 1227264 | consumed tokens: 2513436672 | elapsed time per iteration (s): 5.50 | learning rate: 1.274E-03 | global batch size: 512 | lm loss: 3.352077E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.174 | TFLOPs: 70.38 | +[default7]: iteration 2398/ 3814 | consumed samples: 1227776 | consumed tokens: 2514485248 | elapsed time per iteration (s): 5.50 | learning rate: 1.273E-03 | global batch size: 512 | lm loss: 3.326169E+00 | loss scale: 65536.0 | grad norm: 0.072 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.091 | TFLOPs: 70.31 | +[default7]: iteration 2399/ 3814 | consumed samples: 1228288 | consumed tokens: 2515533824 | elapsed time per iteration (s): 5.50 | learning rate: 1.271E-03 | global batch size: 512 | lm loss: 3.335283E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.156 | TFLOPs: 70.36 | +[default7]: iteration 2400/ 3814 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 5.50 | learning rate: 1.270E-03 | global batch size: 512 | lm loss: 3.323631E+00 | loss scale: 65536.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per 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scale: 65536.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.098 | TFLOPs: 70.32 | +[default7]: iteration 2404/ 3814 | consumed samples: 1230848 | consumed tokens: 2520776704 | elapsed time per iteration (s): 5.52 | learning rate: 1.265E-03 | global batch size: 512 | lm loss: 3.339532E+00 | loss scale: 65536.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.806 | TFLOPs: 70.10 | +[default7]: iteration 2405/ 3814 | consumed samples: 1231360 | consumed tokens: 2521825280 | elapsed time per iteration (s): 5.52 | learning rate: 1.264E-03 | global batch size: 512 | lm loss: 3.347817E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.729 | TFLOPs: 70.04 | +[default7]: iteration 2406/ 3814 | consumed samples: 1231872 | consumed tokens: 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| samples per second: 93.115 | TFLOPs: 70.33 | +[default7]: iteration 2409/ 3814 | consumed samples: 1233408 | consumed tokens: 2526019584 | elapsed time per iteration (s): 5.48 | learning rate: 1.260E-03 | global batch size: 512 | lm loss: 3.305032E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.459 | TFLOPs: 70.59 | +[default7]: iteration 2410/ 3814 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 5.48 | learning rate: 1.258E-03 | global batch size: 512 | lm loss: 3.308774E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.357 | TFLOPs: 70.51 | +[default7]: iteration 2411/ 3814 | consumed samples: 1234432 | consumed tokens: 2528116736 | elapsed time per iteration (s): 5.48 | learning rate: 1.257E-03 | global batch size: 512 | lm loss: 3.362501E+00 | loss scale: 65536.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.418 | TFLOPs: 70.56 | +[default7]: iteration 2412/ 3814 | consumed samples: 1234944 | consumed tokens: 2529165312 | elapsed time per iteration (s): 5.49 | learning rate: 1.256E-03 | global batch size: 512 | lm loss: 3.317176E+00 | loss scale: 65536.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.340 | TFLOPs: 70.50 | +[default7]: iteration 2413/ 3814 | consumed samples: 1235456 | consumed tokens: 2530213888 | elapsed time per iteration (s): 5.49 | learning rate: 1.255E-03 | global batch size: 512 | lm loss: 3.323961E+00 | loss scale: 65536.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.248 | TFLOPs: 70.43 | +[default7]: iteration 2414/ 3814 | consumed samples: 1235968 | 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| lm loss: 3.306293E+00 | loss scale: 65536.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.365 | TFLOPs: 70.52 | +[default7]: iteration 2420/ 3814 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 5.50 | learning rate: 1.247E-03 | global batch size: 512 | lm loss: 3.329641E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.139 | TFLOPs: 70.35 | +[default7]: iteration 2421/ 3814 | consumed samples: 1239552 | consumed tokens: 2538602496 | elapsed time per iteration (s): 5.50 | learning rate: 1.246E-03 | global batch size: 512 | lm loss: 3.313872E+00 | loss scale: 65536.0 | grad norm: 0.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.151 | TFLOPs: 70.36 | +[default7]: iteration 2422/ 3814 | consumed samples: 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| global batch size: 512 | lm loss: 3.327958E+00 | loss scale: 65536.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.626 | TFLOPs: 70.72 | +[default7]: iteration 2436/ 3814 | consumed samples: 1247232 | consumed tokens: 2554331136 | elapsed time per iteration (s): 5.47 | learning rate: 1.228E-03 | global batch size: 512 | lm loss: 3.339912E+00 | loss scale: 65536.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.629 | TFLOPs: 70.72 | +[default7]: iteration 2437/ 3814 | consumed samples: 1247744 | consumed tokens: 2555379712 | elapsed time per iteration (s): 5.47 | learning rate: 1.227E-03 | global batch size: 512 | lm loss: 3.324531E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.539 | TFLOPs: 70.65 | +[default7]: iteration 2438/ 3814 | consumed samples: 1248256 | consumed tokens: 2556428288 | elapsed time per iteration (s): 5.47 | learning rate: 1.226E-03 | global batch size: 512 | lm loss: 3.324449E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.575 | TFLOPs: 70.68 | +[default7]: iteration 2439/ 3814 | consumed samples: 1248768 | consumed tokens: 2557476864 | elapsed time per iteration (s): 5.48 | learning rate: 1.225E-03 | global batch size: 512 | lm loss: 3.319873E+00 | loss scale: 65536.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.467 | TFLOPs: 70.60 | +[default7]: iteration 2440/ 3814 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 5.49 | learning rate: 1.223E-03 | global batch size: 512 | lm loss: 3.273638E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.284 | TFLOPs: 70.46 | +[default7]: iteration 2441/ 3814 | consumed samples: 1249792 | consumed tokens: 2559574016 | elapsed time per iteration (s): 5.49 | learning rate: 1.222E-03 | global batch size: 512 | lm loss: 3.324844E+00 | loss scale: 65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.186 | TFLOPs: 70.38 | +[default7]: iteration 2442/ 3814 | consumed samples: 1250304 | consumed tokens: 2560622592 | elapsed time per iteration (s): 5.49 | learning rate: 1.221E-03 | global batch size: 512 | lm loss: 3.311051E+00 | loss scale: 65536.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.292 | TFLOPs: 70.46 | +[default7]: iteration 2443/ 3814 | consumed samples: 1250816 | consumed tokens: 2561671168 | elapsed time per iteration (s): 5.48 | learning rate: 1.220E-03 | global batch size: 512 | lm loss: 3.333270E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.438 | TFLOPs: 70.58 | +[default7]: iteration 2444/ 3814 | consumed samples: 1251328 | consumed tokens: 2562719744 | elapsed time per iteration (s): 5.46 | learning rate: 1.219E-03 | global batch size: 512 | lm loss: 3.294717E+00 | loss scale: 65536.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.696 | TFLOPs: 70.77 | +[default7]: iteration 2445/ 3814 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 5.50 | learning rate: 1.218E-03 | global batch size: 512 | lm loss: 3.325305E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.168 | TFLOPs: 70.37 | +[default7]: 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learning rate: 1.211E-03 | global batch size: 512 | lm loss: 3.305315E+00 | loss scale: 65536.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.744 | TFLOPs: 70.05 | +[default7]: iteration 2452/ 3814 | consumed samples: 1255424 | consumed tokens: 2571108352 | elapsed time per iteration (s): 5.51 | learning rate: 1.209E-03 | global batch size: 512 | lm loss: 3.332805E+00 | loss scale: 65536.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.944 | TFLOPs: 70.20 | +[default7]: iteration 2453/ 3814 | consumed samples: 1255936 | consumed tokens: 2572156928 | elapsed time per iteration (s): 5.49 | learning rate: 1.208E-03 | global batch size: 512 | lm loss: 3.344604E+00 | loss scale: 65536.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.241 | TFLOPs: 70.43 | 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| num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.178 | TFLOPs: 70.38 | +[default7]: iteration 2457/ 3814 | consumed samples: 1257984 | consumed tokens: 2576351232 | elapsed time per iteration (s): 5.51 | learning rate: 1.204E-03 | global batch size: 512 | lm loss: 3.335691E+00 | loss scale: 65536.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.977 | TFLOPs: 70.23 | +[default7]: iteration 2458/ 3814 | consumed samples: 1258496 | consumed tokens: 2577399808 | elapsed time per iteration (s): 5.51 | learning rate: 1.202E-03 | global batch size: 512 | lm loss: 3.290494E+00 | loss scale: 65536.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.993 | TFLOPs: 70.24 | +[default7]: iteration 2459/ 3814 | consumed samples: 1259008 | consumed tokens: 2578448384 | elapsed time per iteration 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norm: 0.096 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.043 | TFLOPs: 70.28 | +[default7]: iteration 2465/ 3814 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 5.52 | learning rate: 1.194E-03 | global batch size: 512 | lm loss: 3.332584E+00 | loss scale: 65536.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.808 | TFLOPs: 70.10 | +[default7]: iteration 2466/ 3814 | consumed samples: 1262592 | consumed tokens: 2585788416 | elapsed time per iteration (s): 5.53 | learning rate: 1.193E-03 | global batch size: 512 | lm loss: 3.312045E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.667 | TFLOPs: 69.99 | +[default7]: iteration 2467/ 3814 | consumed samples: 1263104 | consumed tokens: 2586836992 | elapsed time 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65536.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.955 | TFLOPs: 70.21 | +[default7]: iteration 2473/ 3814 | consumed samples: 1266176 | consumed tokens: 2593128448 | elapsed time per iteration (s): 5.49 | learning rate: 1.185E-03 | global batch size: 512 | lm loss: 3.304852E+00 | loss scale: 65536.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.197 | TFLOPs: 70.39 | +[default7]: iteration 2474/ 3814 | consumed samples: 1266688 | consumed tokens: 2594177024 | elapsed time per iteration (s): 5.51 | learning rate: 1.184E-03 | global batch size: 512 | lm loss: 3.298260E+00 | loss scale: 65536.0 | grad norm: 0.092 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.978 | TFLOPs: 70.23 | +[default7]: iteration 2475/ 3814 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 5.51 | learning rate: 1.183E-03 | global batch size: 512 | lm loss: 3.323426E+00 | loss scale: 65536.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.985 | TFLOPs: 70.23 | +[default7]: iteration 2476/ 3814 | consumed samples: 1267712 | consumed tokens: 2596274176 | elapsed time per iteration (s): 5.52 | learning rate: 1.182E-03 | global batch size: 512 | lm loss: 3.309735E+00 | loss scale: 65536.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.820 | TFLOPs: 70.11 | +[default7]: iteration 2477/ 3814 | consumed samples: 1268224 | consumed tokens: 2597322752 | elapsed time per iteration (s): 5.51 | learning rate: 1.181E-03 | global batch size: 512 | lm loss: 3.325377E+00 | loss scale: 65536.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.850 | TFLOPs: 70.13 | +[default7]: iteration 2478/ 3814 | consumed samples: 1268736 | consumed tokens: 2598371328 | elapsed time per iteration (s): 5.50 | learning rate: 1.179E-03 | global batch size: 512 | lm loss: 3.332659E+00 | loss scale: 65536.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.010 | TFLOPs: 70.25 | +[default7]: iteration 2479/ 3814 | consumed samples: 1269248 | consumed tokens: 2599419904 | elapsed time per iteration (s): 5.52 | learning rate: 1.178E-03 | global batch size: 512 | lm loss: 3.316155E+00 | loss scale: 65536.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.748 | TFLOPs: 70.05 | +[default7]: iteration 2480/ 3814 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 5.51 | learning rate: 1.177E-03 | global batch size: 512 | lm loss: 3.318479E+00 | loss 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512 | lm loss: 3.286402E+00 | loss scale: 131072.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.785 | TFLOPs: 70.08 | +[default7]: iteration 2520/ 3814 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 5.50 | learning rate: 1.131E-03 | global batch size: 512 | lm loss: 3.310586E+00 | loss scale: 131072.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.159 | TFLOPs: 70.36 | +[default7]: iteration 2521/ 3814 | consumed samples: 1290752 | consumed tokens: 2643460096 | elapsed time per iteration (s): 5.53 | learning rate: 1.130E-03 | global batch size: 512 | lm loss: 3.301695E+00 | loss scale: 131072.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.660 | TFLOPs: 69.99 | +[default7]: iteration 2522/ 3814 | consumed 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| number of nan iterations: 0 | samples per second: 93.243 | TFLOPs: 70.43 | +[default7]: iteration 2562/ 3814 | consumed samples: 1311744 | consumed tokens: 2686451712 | elapsed time per iteration (s): 5.49 | learning rate: 1.084E-03 | global batch size: 512 | lm loss: 3.269285E+00 | loss scale: 131072.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.254 | TFLOPs: 70.44 | +[default7]: iteration 2563/ 3814 | consumed samples: 1312256 | consumed tokens: 2687500288 | elapsed time per iteration (s): 5.47 | learning rate: 1.083E-03 | global batch size: 512 | lm loss: 3.269742E+00 | loss scale: 131072.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.619 | TFLOPs: 70.71 | +[default7]: iteration 2564/ 3814 | consumed samples: 1312768 | consumed tokens: 2688548864 | elapsed time per iteration (s): 5.49 | learning rate: 1.082E-03 | global 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1.073E-03 | global batch size: 512 | lm loss: 3.294502E+00 | loss scale: 131072.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.137 | TFLOPs: 70.35 | +[default7]: iteration 2573/ 3814 | consumed samples: 1317376 | consumed tokens: 2697986048 | elapsed time per iteration (s): 5.50 | learning rate: 1.072E-03 | global batch size: 512 | lm loss: 3.301616E+00 | loss scale: 131072.0 | grad norm: 0.091 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.126 | TFLOPs: 70.34 | +[default7]: iteration 2574/ 3814 | consumed samples: 1317888 | consumed tokens: 2699034624 | elapsed time per iteration (s): 5.50 | learning rate: 1.071E-03 | global batch size: 512 | lm loss: 3.311919E+00 | loss scale: 131072.0 | grad norm: 0.100 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.047 | TFLOPs: 70.28 | +[default7]: 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zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.918 | TFLOPs: 70.18 | +[default7]: iteration 2578/ 3814 | consumed samples: 1319936 | consumed tokens: 2703228928 | elapsed time per iteration (s): 5.51 | learning rate: 1.067E-03 | global batch size: 512 | lm loss: 3.332735E+00 | loss scale: 131072.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.866 | TFLOPs: 70.14 | +[default7]: iteration 2579/ 3814 | consumed samples: 1320448 | consumed tokens: 2704277504 | elapsed time per iteration (s): 5.49 | learning rate: 1.065E-03 | global batch size: 512 | lm loss: 3.306798E+00 | loss scale: 131072.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.188 | TFLOPs: 70.39 | +[default7]: iteration 2580/ 3814 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 5.51 | learning rate: 1.064E-03 | global batch size: 512 | lm loss: 3.268503E+00 | loss scale: 131072.0 | grad norm: 0.077 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.951 | TFLOPs: 70.21 | +[default7]: iteration 2581/ 3814 | consumed samples: 1321472 | consumed tokens: 2706374656 | elapsed time per iteration (s): 5.52 | learning rate: 1.063E-03 | global batch size: 512 | lm loss: 3.252411E+00 | loss scale: 131072.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.793 | TFLOPs: 70.09 | +[default7]: iteration 2582/ 3814 | consumed samples: 1321984 | consumed tokens: 2707423232 | elapsed time per iteration (s): 5.50 | learning rate: 1.062E-03 | global batch size: 512 | lm loss: 3.302035E+00 | loss scale: 131072.0 | grad norm: 0.075 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.010 | TFLOPs: 70.25 | +[default7]: iteration 2583/ 3814 | consumed samples: 1322496 | consumed tokens: 2708471808 | elapsed time per iteration (s): 5.53 | learning rate: 1.061E-03 | global batch size: 512 | lm loss: 3.274670E+00 | loss scale: 131072.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.591 | TFLOPs: 69.93 | +[default7]: iteration 2584/ 3814 | consumed samples: 1323008 | consumed tokens: 2709520384 | elapsed time per iteration (s): 5.52 | learning rate: 1.060E-03 | global batch size: 512 | lm loss: 3.270924E+00 | loss scale: 131072.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.833 | TFLOPs: 70.12 | +[default7]: iteration 2585/ 3814 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 5.52 | learning rate: 1.059E-03 | global batch size: 512 | lm loss: 3.269007E+00 | loss scale: 131072.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.690 | TFLOPs: 70.01 | +[default7]: iteration 2586/ 3814 | consumed samples: 1324032 | consumed tokens: 2711617536 | elapsed time per iteration (s): 5.52 | learning rate: 1.058E-03 | global batch size: 512 | lm loss: 3.269688E+00 | loss scale: 131072.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.745 | TFLOPs: 70.05 | +[default0]:[2023-02-16 05:15:44,088] [INFO] [stage_1_and_2.py:1720:step] [deepspeed] OVERFLOW! Rank 0 Skipping step. Attempted loss scale: 131072.0, reducing to 131072.0 +[default7]: iteration 2587/ 3814 | consumed samples: 1324544 | consumed tokens: 2712666112 | elapsed time per iteration (s): 4.85 | learning rate: 1.058E-03 | global batch size: 512 | lm loss: 3.273454E+00 | loss scale: 131072.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 105.460 | TFLOPs: 79.65 | +[default7]: iteration 2588/ 3814 | consumed samples: 1325056 | consumed tokens: 2713714688 | elapsed time per iteration (s): 5.51 | learning rate: 1.057E-03 | global batch size: 512 | lm loss: 3.273958E+00 | loss scale: 131072.0 | grad norm: 0.076 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.906 | TFLOPs: 70.17 | +[default7]: iteration 2589/ 3814 | consumed samples: 1325568 | consumed tokens: 2714763264 | elapsed time per iteration (s): 5.51 | learning rate: 1.055E-03 | global batch size: 512 | lm 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| grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.071 | TFLOPs: 70.30 | +[default7]: iteration 2619/ 3814 | consumed samples: 1340928 | consumed tokens: 2746220544 | elapsed time per iteration (s): 5.51 | learning rate: 1.023E-03 | global batch size: 512 | lm loss: 3.260452E+00 | loss scale: 131072.0 | grad norm: 0.081 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.876 | TFLOPs: 70.15 | +[default7]: iteration 2620/ 3814 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 5.50 | learning rate: 1.022E-03 | global batch size: 512 | lm loss: 3.249024E+00 | loss scale: 131072.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.110 | TFLOPs: 70.33 | +[default7]: iteration 2621/ 3814 | consumed samples: 1341952 | consumed tokens: 2748317696 | elapsed time per iteration (s): 5.48 | learning rate: 1.020E-03 | global batch size: 512 | lm loss: 3.272318E+00 | loss scale: 131072.0 | grad norm: 0.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.387 | TFLOPs: 70.54 | +[default7]: iteration 2622/ 3814 | consumed samples: 1342464 | consumed tokens: 2749366272 | elapsed time per iteration (s): 5.48 | learning rate: 1.019E-03 | global batch size: 512 | lm loss: 3.239946E+00 | loss scale: 131072.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.406 | TFLOPs: 70.55 | +[default7]: iteration 2623/ 3814 | consumed samples: 1342976 | consumed tokens: 2750414848 | elapsed time per iteration (s): 5.49 | learning rate: 1.018E-03 | global batch size: 512 | lm loss: 3.277580E+00 | loss scale: 131072.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples 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loss scale: 131072.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.237 | TFLOPs: 70.42 | +[default7]: iteration 2627/ 3814 | consumed samples: 1345024 | consumed tokens: 2754609152 | elapsed time per iteration (s): 5.47 | learning rate: 1.014E-03 | global batch size: 512 | lm loss: 3.262992E+00 | loss scale: 131072.0 | grad norm: 0.092 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.622 | TFLOPs: 70.71 | +[default7]: iteration 2628/ 3814 | consumed samples: 1345536 | consumed tokens: 2755657728 | elapsed time per iteration (s): 5.49 | learning rate: 1.013E-03 | global batch size: 512 | lm loss: 3.283812E+00 | loss scale: 131072.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.287 | TFLOPs: 70.46 | +[default7]: iteration 2629/ 3814 | consumed samples: 1346048 | consumed 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iterations: 0 | samples per second: 93.286 | TFLOPs: 70.46 | +[default7]: iteration 2632/ 3814 | consumed samples: 1347584 | consumed tokens: 2759852032 | elapsed time per iteration (s): 5.50 | learning rate: 1.009E-03 | global batch size: 512 | lm loss: 3.304298E+00 | loss scale: 131072.0 | grad norm: 0.104 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.166 | TFLOPs: 70.37 | +[default7]: iteration 2633/ 3814 | consumed samples: 1348096 | consumed tokens: 2760900608 | elapsed time per iteration (s): 5.48 | learning rate: 1.007E-03 | global batch size: 512 | lm loss: 3.273708E+00 | loss scale: 131072.0 | grad norm: 0.097 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.441 | TFLOPs: 70.58 | +[default7]: iteration 2634/ 3814 | consumed samples: 1348608 | consumed tokens: 2761949184 | elapsed time per iteration (s): 5.48 | learning rate: 1.006E-03 | global batch size: 512 | 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| number of nan iterations: 0 | samples per second: 93.000 | TFLOPs: 70.24 | +[default7]: iteration 2640/ 3814 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 5.50 | learning rate: 9.999E-04 | global batch size: 512 | lm loss: 3.266770E+00 | loss scale: 131072.0 | grad norm: 0.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.163 | TFLOPs: 70.37 | +[default7]: iteration 2641/ 3814 | consumed samples: 1352192 | consumed tokens: 2769289216 | elapsed time per iteration (s): 5.51 | learning rate: 9.989E-04 | global batch size: 512 | lm loss: 3.240827E+00 | loss scale: 131072.0 | grad norm: 0.080 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.955 | TFLOPs: 70.21 | +[default7]: iteration 2642/ 3814 | consumed samples: 1352704 | consumed tokens: 2770337792 | elapsed time per iteration (s): 5.49 | learning rate: 9.978E-04 | global 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| number of nan iterations: 0 | samples per second: 93.348 | TFLOPs: 70.51 | +[default7]: iteration 2685/ 3814 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 5.51 | learning rate: 9.521E-04 | global batch size: 512 | lm loss: 3.242968E+00 | loss scale: 131072.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.979 | TFLOPs: 70.23 | +[default7]: iteration 2686/ 3814 | consumed samples: 1375232 | consumed tokens: 2816475136 | elapsed time per iteration (s): 5.48 | learning rate: 9.511E-04 | global batch size: 512 | lm loss: 3.251512E+00 | loss scale: 131072.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.394 | TFLOPs: 70.54 | +[default7]: iteration 2687/ 3814 | consumed samples: 1375744 | consumed tokens: 2817523712 | elapsed time per iteration (s): 5.50 | learning rate: 9.500E-04 | global 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| grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.886 | TFLOPs: 70.16 | +[default7]: iteration 2709/ 3814 | consumed samples: 1387008 | consumed tokens: 2840592384 | elapsed time per iteration (s): 5.51 | learning rate: 9.271E-04 | global batch size: 512 | lm loss: 3.259495E+00 | loss scale: 131072.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.949 | TFLOPs: 70.21 | +[default7]: iteration 2710/ 3814 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 5.51 | learning rate: 9.260E-04 | global batch size: 512 | lm loss: 3.240877E+00 | loss scale: 131072.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.985 | TFLOPs: 70.23 | +[default7]: iteration 2711/ 3814 | consumed samples: 1388032 | consumed tokens: 2842689536 | 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8.781E-04 | global batch size: 512 | lm loss: 3.239589E+00 | loss scale: 131072.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.262 | TFLOPs: 70.44 | +[default7]: iteration 2758/ 3814 | consumed samples: 1412096 | consumed tokens: 2891972608 | elapsed time per iteration (s): 5.49 | learning rate: 8.770E-04 | global batch size: 512 | lm loss: 3.199121E+00 | loss scale: 131072.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.266 | TFLOPs: 70.44 | +[default7]: iteration 2759/ 3814 | consumed samples: 1412608 | consumed tokens: 2893021184 | elapsed time per iteration (s): 5.50 | learning rate: 8.760E-04 | global batch size: 512 | lm loss: 3.264450E+00 | loss scale: 131072.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.068 | TFLOPs: 70.30 | +[default7]: 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8.334E-04 | global batch size: 512 | lm loss: 3.222004E+00 | loss scale: 131072.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.311 | TFLOPs: 68.97 | +[default7]: iteration 2803/ 3814 | consumed samples: 1435136 | consumed tokens: 2939158528 | elapsed time per iteration (s): 5.60 | learning rate: 8.324E-04 | global batch size: 512 | lm loss: 3.236748E+00 | loss scale: 131072.0 | grad norm: 0.082 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.448 | TFLOPs: 69.07 | +[default7]: iteration 2804/ 3814 | consumed samples: 1435648 | consumed tokens: 2940207104 | elapsed time per iteration (s): 5.66 | learning rate: 8.315E-04 | global batch size: 512 | lm loss: 3.233540E+00 | loss scale: 131072.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.531 | TFLOPs: 68.38 | +[default7]: 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(s): 5.60 | learning rate: 8.256E-04 | global batch size: 512 | lm loss: 3.214547E+00 | loss scale: 131072.0 | grad norm: 0.092 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.434 | TFLOPs: 69.06 | +[default7]: iteration 2811/ 3814 | consumed samples: 1439232 | consumed tokens: 2947547136 | elapsed time per iteration (s): 5.60 | learning rate: 8.247E-04 | global batch size: 512 | lm loss: 3.215957E+00 | loss scale: 131072.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.477 | TFLOPs: 69.09 | +[default7]: iteration 2812/ 3814 | consumed samples: 1439744 | consumed tokens: 2948595712 | elapsed time per iteration (s): 5.58 | learning rate: 8.237E-04 | global batch size: 512 | lm loss: 3.241508E+00 | loss scale: 131072.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.781 | 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| grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.302 | TFLOPs: 68.96 | +[default7]: iteration 2816/ 3814 | consumed samples: 1441792 | consumed tokens: 2952790016 | elapsed time per iteration (s): 5.60 | learning rate: 8.198E-04 | global batch size: 512 | lm loss: 3.197216E+00 | loss scale: 131072.0 | grad norm: 0.085 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.429 | TFLOPs: 69.06 | +[default7]: iteration 2817/ 3814 | consumed samples: 1442304 | consumed tokens: 2953838592 | elapsed time per iteration (s): 5.59 | learning rate: 8.188E-04 | global batch size: 512 | lm loss: 3.205860E+00 | loss scale: 131072.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.660 | TFLOPs: 69.23 | +[default7]: iteration 2818/ 3814 | consumed samples: 1442816 | consumed tokens: 2954887168 | 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| grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.627 | TFLOPs: 68.45 | +[default7]: iteration 2861/ 3814 | consumed samples: 1464832 | consumed tokens: 2999975936 | elapsed time per iteration (s): 5.66 | learning rate: 7.770E-04 | global batch size: 512 | lm loss: 3.229966E+00 | loss scale: 131072.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.463 | TFLOPs: 68.33 | +[default7]: iteration 2862/ 3814 | consumed samples: 1465344 | consumed tokens: 3001024512 | elapsed time per iteration (s): 5.67 | learning rate: 7.760E-04 | global batch size: 512 | lm loss: 3.140087E+00 | loss scale: 131072.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.262 | TFLOPs: 68.18 | +[default7]: iteration 2863/ 3814 | consumed samples: 1465856 | consumed tokens: 3002073088 | 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loss scale: 131072.0 | grad norm: 0.083 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 89.624 | TFLOPs: 67.69 | +[default7]: iteration 2869/ 3814 | consumed samples: 1468928 | consumed tokens: 3008364544 | elapsed time per iteration (s): 5.73 | learning rate: 7.695E-04 | global batch size: 512 | lm loss: 3.200169E+00 | loss scale: 131072.0 | grad norm: 0.091 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 89.413 | TFLOPs: 67.53 | +[default7]: iteration 2870/ 3814 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 5.73 | learning rate: 7.686E-04 | global batch size: 512 | lm loss: 3.191861E+00 | loss scale: 131072.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 89.390 | TFLOPs: 67.52 | +[default7]: iteration 2871/ 3814 | consumed samples: 1469952 | consumed 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| grad norm: 0.095 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.328 | TFLOPs: 68.23 | +[default7]: iteration 2906/ 3814 | consumed samples: 1487872 | consumed tokens: 3047161856 | elapsed time per iteration (s): 5.65 | learning rate: 7.356E-04 | global batch size: 512 | lm loss: 3.186316E+00 | loss scale: 131072.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.680 | TFLOPs: 68.49 | +[default7]: iteration 2907/ 3814 | consumed samples: 1488384 | consumed tokens: 3048210432 | elapsed time per iteration (s): 5.66 | learning rate: 7.347E-04 | global batch size: 512 | lm loss: 3.218952E+00 | loss scale: 131072.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.415 | TFLOPs: 68.29 | +[default7]: iteration 2908/ 3814 | consumed samples: 1488896 | consumed tokens: 3049259008 | 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loss scale: 131072.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.613 | TFLOPs: 68.44 | +[default7]: iteration 2914/ 3814 | consumed samples: 1491968 | consumed tokens: 3055550464 | elapsed time per iteration (s): 5.64 | learning rate: 7.284E-04 | global batch size: 512 | lm loss: 3.179904E+00 | loss scale: 131072.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.783 | TFLOPs: 68.57 | +[default7]: iteration 2915/ 3814 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 5.66 | learning rate: 7.275E-04 | global batch size: 512 | lm loss: 3.178132E+00 | loss scale: 131072.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.496 | TFLOPs: 68.35 | +[default7]: iteration 2916/ 3814 | consumed samples: 1492992 | consumed 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elapsed time per iteration (s): 5.68 | learning rate: 6.559E-04 | global batch size: 512 | lm loss: 3.155479E+00 | loss scale: 131072.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.156 | TFLOPs: 68.10 | +[default7]: iteration 2999/ 3814 | consumed samples: 1535488 | consumed tokens: 3144679424 | elapsed time per iteration (s): 5.66 | learning rate: 6.550E-04 | global batch size: 512 | lm loss: 3.185421E+00 | loss scale: 131072.0 | grad norm: 0.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.443 | TFLOPs: 68.31 | +[default7]: iteration 3000/ 3814 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 5.66 | learning rate: 6.542E-04 | global batch size: 512 | lm loss: 3.194269E+00 | loss scale: 131072.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.538 | TFLOPs: 68.38 | +[default0]:saving checkpoint at iteration 3000 to /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main +[default1]:[2023-02-16 05:54:11,265] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving /gpfsscratch/rech/ajs/commun/checkpoints/tr14-2B7-lr0.03-init0.1-inpm10-outm10-atnm10-mup/checkpoints/main/global_step3000/layer_01-model_01-model_states.pt... +[default7]:------------------------------------------------------------------------------------------ +[default7]:valid loss at iteration 3000 | lm loss value: 3.153781E+00 | lm loss PPL: 2.342446E+01 | +[default7]:------------------------------------------------------------------------------------------ +[default0]:[2023-02-16 05:54:11,261] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step3000 is begin to save! +[default0]:[2023-02-16 05:54:11,265] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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| consumed samples: 1536512 | consumed tokens: 3146776576 | elapsed time per iteration (s): 9.97 | learning rate: 6.534E-04 | global batch size: 512 | lm loss: 3.199734E+00 | loss scale: 131072.0 | grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 51.367 | TFLOPs: 38.80 | +[default7]: iteration 3002/ 3814 | consumed samples: 1537024 | consumed tokens: 3147825152 | elapsed time per iteration (s): 5.60 | learning rate: 6.526E-04 | global batch size: 512 | lm loss: 3.154457E+00 | loss scale: 131072.0 | grad norm: 0.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.428 | TFLOPs: 69.06 | +[default7]: iteration 3003/ 3814 | consumed samples: 1537536 | consumed tokens: 3148873728 | elapsed time per iteration (s): 5.59 | learning rate: 6.517E-04 | global batch size: 512 | lm loss: 3.191047E+00 | loss scale: 131072.0 | grad norm: 0.096 | num zeros: 0.0 | number of 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zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.502 | TFLOPs: 68.36 | +[default7]: iteration 3012/ 3814 | consumed samples: 1542144 | consumed tokens: 3158310912 | elapsed time per iteration (s): 5.61 | learning rate: 6.443E-04 | global batch size: 512 | lm loss: 3.201700E+00 | loss scale: 131072.0 | grad norm: 0.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.226 | TFLOPs: 68.90 | +[default7]: iteration 3013/ 3814 | consumed samples: 1542656 | consumed tokens: 3159359488 | elapsed time per iteration (s): 5.62 | learning rate: 6.435E-04 | global batch size: 512 | lm loss: 3.174932E+00 | loss scale: 131072.0 | grad norm: 0.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.103 | TFLOPs: 68.81 | +[default7]: iteration 3014/ 3814 | consumed samples: 1543168 | consumed tokens: 3160408064 | elapsed time per iteration 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| grad norm: 0.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.333 | TFLOPs: 68.98 | +[default7]: iteration 3020/ 3814 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 5.61 | learning rate: 6.378E-04 | global batch size: 512 | lm loss: 3.163832E+00 | loss scale: 131072.0 | grad norm: 0.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.284 | TFLOPs: 68.95 | +[default7]: iteration 3021/ 3814 | consumed samples: 1546752 | consumed tokens: 3167748096 | elapsed time per iteration (s): 5.62 | learning rate: 6.370E-04 | global batch size: 512 | lm loss: 3.178017E+00 | loss scale: 131072.0 | grad norm: 0.087 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.155 | TFLOPs: 68.85 | +[default7]: iteration 3022/ 3814 | consumed samples: 1547264 | consumed tokens: 3168796672 | 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| grad norm: 0.092 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.814 | TFLOPs: 68.59 | +[default7]: iteration 3155/ 3814 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 5.64 | learning rate: 5.361E-04 | global batch size: 512 | lm loss: 3.132090E+00 | loss scale: 262144.0 | grad norm: 0.091 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.771 | TFLOPs: 68.56 | +[default7]: iteration 3156/ 3814 | consumed samples: 1615872 | consumed tokens: 3309305856 | elapsed time per iteration (s): 5.63 | learning rate: 5.354E-04 | global batch size: 512 | lm loss: 3.101225E+00 | loss scale: 262144.0 | grad norm: 0.090 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.970 | TFLOPs: 68.71 | +[default7]: iteration 3157/ 3814 | consumed samples: 1616384 | consumed tokens: 3310354432 | 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| grad norm: 0.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.124 | TFLOPs: 68.83 | +[default7]: iteration 3200/ 3814 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 5.63 | learning rate: 5.059E-04 | global batch size: 512 | lm loss: 3.120709E+00 | loss scale: 262144.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.912 | TFLOPs: 68.67 | +[default7]: iteration 3201/ 3814 | consumed samples: 1638912 | consumed tokens: 3356491776 | elapsed time per iteration (s): 5.62 | learning rate: 5.052E-04 | global batch size: 512 | lm loss: 3.141568E+00 | loss scale: 262144.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.123 | TFLOPs: 68.83 | +[default7]: iteration 3202/ 3814 | consumed samples: 1639424 | consumed tokens: 3357540352 | 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loss scale: 262144.0 | grad norm: 0.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.077 | TFLOPs: 68.79 | +[default7]: iteration 3208/ 3814 | consumed samples: 1642496 | consumed tokens: 3363831808 | elapsed time per iteration (s): 5.64 | learning rate: 5.007E-04 | global batch size: 512 | lm loss: 3.127084E+00 | loss scale: 262144.0 | grad norm: 0.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.858 | TFLOPs: 68.63 | +[default7]: iteration 3209/ 3814 | consumed samples: 1643008 | consumed tokens: 3364880384 | elapsed time per iteration (s): 5.64 | learning rate: 5.000E-04 | global batch size: 512 | lm loss: 3.138155E+00 | loss scale: 262144.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.757 | TFLOPs: 68.55 | +[default7]: iteration 3210/ 3814 | consumed samples: 1643520 | consumed 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iterations: 0 | samples per second: 91.044 | TFLOPs: 68.77 | +[default7]: iteration 3213/ 3814 | consumed samples: 1645056 | consumed tokens: 3369074688 | elapsed time per iteration (s): 5.62 | learning rate: 4.975E-04 | global batch size: 512 | lm loss: 3.139035E+00 | loss scale: 262144.0 | grad norm: 0.095 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 91.145 | TFLOPs: 68.84 | +[default7]: iteration 3214/ 3814 | consumed samples: 1645568 | consumed tokens: 3370123264 | elapsed time per iteration (s): 5.64 | learning rate: 4.968E-04 | global batch size: 512 | lm loss: 3.124349E+00 | loss scale: 262144.0 | grad norm: 0.091 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.836 | TFLOPs: 68.61 | +[default7]: iteration 3215/ 3814 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 5.64 | learning rate: 4.962E-04 | global batch size: 512 | 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save-checkpoint: 3201.51 +[default7]: iteration 3251/ 3814 | consumed samples: 1664512 | consumed tokens: 3408920576 | elapsed time per iteration (s): 8.84 | learning rate: 4.739E-04 | global batch size: 512 | lm loss: 3.094859E+00 | loss scale: 262144.0 | grad norm: 0.097 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 57.944 | TFLOPs: 43.77 | +[default7]: iteration 3252/ 3814 | consumed samples: 1665024 | consumed tokens: 3409969152 | elapsed time per iteration (s): 5.50 | learning rate: 4.733E-04 | global batch size: 512 | lm loss: 3.119700E+00 | loss scale: 262144.0 | grad norm: 0.093 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.110 | TFLOPs: 70.33 | +[default7]: iteration 3253/ 3814 | consumed samples: 1665536 | consumed tokens: 3411017728 | elapsed time per iteration (s): 5.51 | learning rate: 4.727E-04 | global batch size: 512 | lm loss: 3.109229E+00 | loss scale: 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3414163456 | elapsed time per iteration (s): 5.51 | learning rate: 4.709E-04 | global batch size: 512 | lm loss: 3.131830E+00 | loss scale: 262144.0 | grad norm: 0.094 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 92.944 | TFLOPs: 70.20 | +[default7]: iteration 3257/ 3814 | consumed samples: 1667584 | consumed tokens: 3415212032 | elapsed time per iteration (s): 5.49 | learning rate: 4.703E-04 | global batch size: 512 | lm loss: 3.120216E+00 | loss scale: 262144.0 | grad norm: 0.095 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 93.225 | TFLOPs: 70.41 | +slurmstepd: error: *** STEP 1219013.0 ON jean-zay-iam01 CANCELLED AT 2023-02-16T06:18:26 DUE TO TIME LIMIT *** +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420653 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786981 closing signal SIGTERM +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831555 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420654 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786982 closing signal SIGTERM +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904319 closing signal SIGTERM +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786983 closing signal SIGTERM +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429552 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910313 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710195 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710196 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429553 closing signal SIGTERM +WARNING:torch.distributed.elastic.agent.server.api:Received 15 death signal, shutting down workers +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786984 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763136 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831556 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420655 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420656 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831557 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904320 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429554 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831558 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763137 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910314 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710197 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786985 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429555 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904321 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420657 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429556 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786986 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904322 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420658 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763138 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910315 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786987 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904323 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710198 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831559 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786988 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763139 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420659 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710199 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910316 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710200 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831560 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429557 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910317 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420660 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910318 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763140 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910319 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904324 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429558 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429559 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710201 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910320 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831561 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904325 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831562 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710202 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763141 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904326 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763142 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763143 closing signal SIGTERM +srun: Job step aborted: Waiting up to 62 seconds for job step to finish. +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763136 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763137 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763138 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763139 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763140 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763141 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763142 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 763143 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420653 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420654 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429552 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420655 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429553 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420656 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429554 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420657 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429555 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420658 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429556 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429557 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420659 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 420660 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429558 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1429559 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786981 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786982 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786983 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786984 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786985 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786986 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786987 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2786988 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904319 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904320 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904321 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904322 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904323 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904324 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904325 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2904326 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831555 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831556 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831557 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831558 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831559 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831560 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831561 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1831562 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710195 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710196 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710197 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710198 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710199 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710200 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710201 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 2710202 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910313 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910314 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910315 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910316 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910317 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910318 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910319 closing signal SIGTERM +WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 1910320 closing signal SIGTERM