diff --git "a/run.log" "b/run.log" new file mode 100644--- /dev/null +++ "b/run.log" @@ -0,0 +1,2604 @@ +05/30/2024 21:02:23 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: False +05/30/2024 21:02:23 - INFO - __main__ - Training/evaluation parameters TrainingArguments( +_n_gpu=1, +adafactor=False, +adam_beta1=0.9, +adam_beta2=0.999, +adam_epsilon=1e-08, +auto_find_batch_size=False, +bf16=False, +bf16_full_eval=False, +data_seed=None, +dataloader_drop_last=False, +dataloader_num_workers=0, +dataloader_pin_memory=True, +ddp_bucket_cap_mb=None, +ddp_find_unused_parameters=None, +ddp_timeout=1800, +debug=[], +deepspeed=None, +disable_tqdm=False, +do_eval=True, +do_predict=True, +do_train=True, +eval_accumulation_steps=1000, +eval_delay=0, +eval_steps=500, +evaluation_strategy=steps, +fp16=False, +fp16_backend=auto, +fp16_full_eval=False, +fp16_opt_level=O1, +fsdp=[], +fsdp_min_num_params=0, +fsdp_transformer_layer_cls_to_wrap=None, +full_determinism=False, +gradient_accumulation_steps=2, +gradient_checkpointing=False, +greater_is_better=True, +group_by_length=False, +half_precision_backend=auto, +hub_model_id=None, +hub_private_repo=False, +hub_strategy=every_save, +hub_token=, +ignore_data_skip=False, +include_inputs_for_metrics=False, +jit_mode_eval=False, +label_names=None, +label_smoothing_factor=0.0, +learning_rate=5e-05, +length_column_name=length, +load_best_model_at_end=True, +local_rank=-1, +log_level=passive, +log_level_replica=passive, +log_on_each_node=True, +logging_dir=./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/runs/May30_21-02-23_ppi-nlp6, +logging_first_step=False, +logging_nan_inf_filter=True, +logging_steps=500, +logging_strategy=steps, +lr_scheduler_type=linear, +max_grad_norm=1.0, +max_steps=-1, +metric_for_best_model=overall_f1, +mp_parameters=, +no_cuda=False, +num_train_epochs=5.0, +optim=adamw_hf, +optim_args=None, +output_dir=./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41, +overwrite_output_dir=True, +past_index=-1, +per_device_eval_batch_size=4, +per_device_train_batch_size=2, +prediction_loss_only=False, +push_to_hub=False, +push_to_hub_model_id=None, +push_to_hub_organization=None, +push_to_hub_token=, +ray_scope=last, +remove_unused_columns=True, +report_to=[], +resume_from_checkpoint=None, +run_name=./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41, +save_on_each_node=False, +save_steps=500, +save_strategy=steps, +save_total_limit=2, +seed=42, +sharded_ddp=[], +skip_memory_metrics=True, +tf32=None, +torch_compile=False, +torch_compile_backend=None, +torch_compile_mode=None, +torchdynamo=None, +tpu_metrics_debug=False, +tpu_num_cores=None, +use_ipex=False, +use_legacy_prediction_loop=False, +use_mps_device=False, +warmup_ratio=0.0, +warmup_steps=0, +weight_decay=0.0, +xpu_backend=None, +) +/home/ext_maiara_frodrigues2000_gmail_/.pyenv/versions/spokennlp/lib/python3.8/site-packages/datasets/load.py:2555: FutureWarning: 'ignore_verifications' was deprecated in favor of 'verification_mode' in version 2.9.1 and will be removed in 3.0.0. +You can remove this warning by passing 'verification_mode=no_checks' instead. + warnings.warn( +/home/ext_maiara_frodrigues2000_gmail_/.pyenv/versions/spokennlp/lib/python3.8/site-packages/datasets/load.py:929: FutureWarning: The repository for wiki_section_disease contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at ./src/datasets/wiki_section_disease/wiki_section_disease.py +You can avoid this message in future by passing the argument `trust_remote_code=True`. +Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`. + warnings.warn( +No config specified, defaulting to the single config: wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation +05/30/2024 21:02:24 - INFO - datasets.builder - No config specified, defaulting to the single config: wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation +Using custom data configuration WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd +05/30/2024 21:02:24 - INFO - datasets.builder - Using custom data configuration WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd +Loading Dataset Infos from /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/modules/datasets_modules/datasets/wiki_section_disease/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8 +05/30/2024 21:02:24 - INFO - datasets.info - Loading Dataset Infos from /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/modules/datasets_modules/datasets/wiki_section_disease/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8 +Generating dataset wiki_section_disease (/projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8) +05/30/2024 21:02:24 - INFO - datasets.builder - Generating dataset wiki_section_disease (/projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8) +Downloading and preparing dataset wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation to /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8... +05/30/2024 21:02:24 - INFO - datasets.builder - Downloading and preparing dataset wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation to /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8... +Downloading took 0.0 min +05/30/2024 21:02:24 - INFO - datasets.download.download_manager - Downloading took 0.0 min +Checksum Computation took 0.0 min +05/30/2024 21:02:24 - INFO - datasets.download.download_manager - Checksum Computation took 0.0 min +Generating train split +05/30/2024 21:02:24 - INFO - datasets.builder - Generating train split + Generating train split: 0 examples [00:00, ? examples/s] Generating train split: 1 examples [00:00, 1.87 examples/s] Generating train split: 146 examples [00:00, 306.69 examples/s] Generating train split: 277 examples [00:00, 538.07 examples/s] Generating train split: 422 examples [00:00, 760.65 examples/s] Generating train split: 566 examples [00:00, 936.84 examples/s] Generating train split: 705 examples [00:01, 1057.85 examples/s] Generating train split: 851 examples [00:01, 1164.42 examples/s] Generating train split: 1000 examples [00:01, 506.29 examples/s] Generating train split: 1139 examples [00:01, 627.30 examples/s] Generating train split: 1284 examples [00:01, 763.13 examples/s] Generating train split: 1431 examples [00:02, 898.32 examples/s] Generating train split: 1561 examples [00:02, 982.96 examples/s] Generating train split: 1708 examples [00:02, 1090.22 examples/s] Generating train split: 1850 examples [00:02, 1168.49 examples/s] Generating train split: 1992 examples [00:02, 1223.64 examples/s] Generating train split: 2142 examples [00:02, 1002.88 examples/s] Generating train split: 2275 examples [00:02, 1075.57 examples/s] Generating train split: 2423 examples [00:02, 1174.53 examples/s] Generating train split: 2513 examples [00:02, 840.66 examples/s] +Generating validation split +topic_segmentation +05/30/2024 21:02:27 - INFO - datasets.builder - Generating validation split + Generating validation split: 0 examples [00:00, ? examples/s] Generating validation split: 1 examples [00:00, 8.69 examples/s] Generating validation split: 139 examples [00:00, 767.08 examples/s] Generating validation split: 297 examples [00:00, 1123.37 examples/s] Generating validation split: 359 examples [00:00, 905.08 examples/s] +Generating test split +topic_segmentation +05/30/2024 21:02:28 - INFO - datasets.builder - Generating test split + Generating test split: 0 examples [00:00, ? examples/s] Generating test split: 1 examples [00:00, 5.73 examples/s] Generating test split: 155 examples [00:00, 689.98 examples/s] Generating test split: 295 examples [00:00, 955.27 examples/s] Generating test split: 437 examples [00:00, 1114.53 examples/s] Generating test split: 600 examples [00:00, 1284.74 examples/s] Generating test split: 718 examples [00:00, 985.27 examples/s] +Dataset wiki_section_disease downloaded and prepared to /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8. Subsequent calls will reuse this data. +topic_segmentation +05/30/2024 21:02:28 - INFO - datasets.builder - Dataset wiki_section_disease downloaded and prepared to /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8. Subsequent calls will reuse this data. +[INFO|configuration_utils.py:660] 2024-05-30 21:02:29,603 >> loading configuration file config.json from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/config.json +[INFO|configuration_utils.py:712] 2024-05-30 21:02:29,806 >> Model config BertConfig { + "_name_or_path": "neuralmind/bert-large-portuguese-cased", + "architectures": [ + "BertForMaskedLM" + ], + "attention_probs_dropout_prob": 0.1, + "classifier_dropout": null, + "directionality": "bidi", + "finetuning_task": "topic_segment", + "hidden_act": "gelu", + "hidden_dropout_prob": 0.1, + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-12, + "max_position_embeddings": 512, + "model_type": "bert", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "output_past": true, + "pad_token_id": 0, + "pooler_fc_size": 768, + "pooler_num_attention_heads": 12, + "pooler_num_fc_layers": 3, + "pooler_size_per_head": 128, + "pooler_type": "first_token_transform", + "position_embedding_type": "absolute", + "transformers_version": "4.26.0", + "type_vocab_size": 2, + "use_cache": true, + "vocab_size": 29794 +} + +[INFO|configuration_utils.py:660] 2024-05-30 21:02:29,935 >> loading configuration file config.json from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/config.json +[INFO|configuration_utils.py:712] 2024-05-30 21:02:29,936 >> Model config BertConfig { + "_name_or_path": "neuralmind/bert-large-portuguese-cased", + "architectures": [ + "BertForMaskedLM" + ], + "attention_probs_dropout_prob": 0.1, + "classifier_dropout": null, + "directionality": "bidi", + "hidden_act": "gelu", + "hidden_dropout_prob": 0.1, + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-12, + "max_position_embeddings": 512, + "model_type": "bert", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "output_past": true, + "pad_token_id": 0, + "pooler_fc_size": 768, + "pooler_num_attention_heads": 12, + "pooler_num_fc_layers": 3, + "pooler_size_per_head": 128, + "pooler_type": "first_token_transform", + "position_embedding_type": "absolute", + "transformers_version": "4.26.0", + "type_vocab_size": 2, + "use_cache": true, + "vocab_size": 29794 +} + +[INFO|tokenization_utils_base.py:1802] 2024-05-30 21:02:30,476 >> loading file vocab.txt from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/vocab.txt +[INFO|tokenization_utils_base.py:1802] 2024-05-30 21:02:30,476 >> loading file tokenizer.json from cache at None +[INFO|tokenization_utils_base.py:1802] 2024-05-30 21:02:30,476 >> loading file added_tokens.json from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/added_tokens.json +[INFO|tokenization_utils_base.py:1802] 2024-05-30 21:02:30,476 >> loading file special_tokens_map.json from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/special_tokens_map.json +[INFO|tokenization_utils_base.py:1802] 2024-05-30 21:02:30,476 >> loading file tokenizer_config.json from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/tokenizer_config.json +[INFO|configuration_utils.py:660] 2024-05-30 21:02:30,477 >> loading configuration file config.json from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/config.json +[INFO|configuration_utils.py:712] 2024-05-30 21:02:30,478 >> Model config BertConfig { + "_name_or_path": "neuralmind/bert-large-portuguese-cased", + "architectures": [ + "BertForMaskedLM" + ], + "attention_probs_dropout_prob": 0.1, + "classifier_dropout": null, + "directionality": "bidi", + "hidden_act": "gelu", + "hidden_dropout_prob": 0.1, + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-12, + "max_position_embeddings": 512, + "model_type": "bert", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "output_past": true, + "pad_token_id": 0, + "pooler_fc_size": 768, + "pooler_num_attention_heads": 12, + "pooler_num_fc_layers": 3, + "pooler_size_per_head": 128, + "pooler_type": "first_token_transform", + "position_embedding_type": "absolute", + "transformers_version": "4.26.0", + "type_vocab_size": 2, + "use_cache": true, + "vocab_size": 29794 +} + +[INFO|configuration_utils.py:660] 2024-05-30 21:02:30,511 >> loading configuration file config.json from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/config.json +[INFO|configuration_utils.py:712] 2024-05-30 21:02:30,513 >> Model config BertConfig { + "_name_or_path": "neuralmind/bert-large-portuguese-cased", + "architectures": [ + "BertForMaskedLM" + ], + "attention_probs_dropout_prob": 0.1, + "classifier_dropout": null, + "directionality": "bidi", + "hidden_act": "gelu", + "hidden_dropout_prob": 0.1, + "hidden_size": 1024, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-12, + "max_position_embeddings": 512, + "model_type": "bert", + "num_attention_heads": 16, + "num_hidden_layers": 24, + "output_past": true, + "pad_token_id": 0, + "pooler_fc_size": 768, + "pooler_num_attention_heads": 12, + "pooler_num_fc_layers": 3, + "pooler_size_per_head": 128, + "pooler_type": "first_token_transform", + "position_embedding_type": "absolute", + "transformers_version": "4.26.0", + "type_vocab_size": 2, + "use_cache": true, + "vocab_size": 29794 +} + +[INFO|modeling_utils.py:2275] 2024-05-30 21:02:41,297 >> loading weights file pytorch_model.bin from cache at /home/ext_maiara_frodrigues2000_gmail_/.cache/huggingface/hub/models--neuralmind--bert-large-portuguese-cased/snapshots/aa302f6ea73b759f7df9cad58bd272127b67ec28/pytorch_model.bin +[WARNING|modeling_utils.py:2847] 2024-05-30 21:02:47,884 >> Some weights of the model checkpoint at neuralmind/bert-large-portuguese-cased were not used when initializing BertWithDAForSentenceLabelingTopicSegmentation: ['cls.seq_relationship.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.bias'] +- This IS expected if you are initializing BertWithDAForSentenceLabelingTopicSegmentation from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). +- This IS NOT expected if you are initializing BertWithDAForSentenceLabelingTopicSegmentation from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). +[WARNING|modeling_utils.py:2859] 2024-05-30 21:02:47,884 >> Some weights of BertWithDAForSentenceLabelingTopicSegmentation were not initialized from the model checkpoint at neuralmind/bert-large-portuguese-cased and are newly initialized: ['loss_calculator.classifier.weight', 'loss_calculator.tssp.classifier.weight', 'loss_calculator.classifier.bias', 'loss_calculator.tssp.classifier.bias'] +You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. +[ERROR|tokenization_utils_base.py:997] 2024-05-30 21:02:47,950 >> Using bos_token, but it is not set yet. +[INFO|tokenization_utils_base.py:907] 2024-05-30 21:02:47,951 >> Assigning [BOS] to the bos_token key of the tokenizer +Process #0 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00000_of_00005.arrow +labels_are_int: False +label_to_id: {'B-EOP': 0, 'O': 1} +config: BertConfig { + "_name_or_path": "neuralmind/bert-large-portuguese-cased", + "architectures": [ + "BertForMaskedLM" + ], + "attention_probs_dropout_prob": 0.1, + "cache_dir": null, + "cl_anchor_level": "eop_list", + "cl_loss_weight": 0.5, + "cl_negative_k": 3, + "cl_positive_k": 1, + "cl_temp": 0.1, + "classifier_dropout": null, + "config_name": null, + "directionality": "bidi", + "do_cssl": true, + "do_da_ts": true, + "do_tssp": true, + "finetuning_task": "topic_segment", + "focal_loss_gamma": 0.0, + "hidden_act": "gelu", + "hidden_dropout_prob": 0.1, + "hidden_size": 1024, + "ignore_mismatched_sizes": false, + "initializer_range": 0.02, + "intermediate_size": 4096, + "layer_norm_eps": 1e-12, + "max_position_embeddings": 512, + "model_name_or_path": "neuralmind/bert-large-portuguese-cased", + "model_revision": "main", + "model_type": "bert", + "num_attention_heads": 16, + "num_gpu": 1, + "num_hidden_layers": 24, + "num_topic_labels": 0, + "num_tssp_labels": 3, + "output_past": true, + "pad_token_id": 0, + "pooler_fc_size": 768, + "pooler_num_attention_heads": 12, + "pooler_num_fc_layers": 3, + "pooler_size_per_head": 128, + "pooler_type": "first_token_transform", + "position_embedding_type": "absolute", + "sentence_pooler_type": null, + "tokenizer_name": null, + "transformers_version": "4.26.0", + "ts_loss_weight": 1.0, + "ts_score_predictor": "lt", + "ts_score_predictor_cos_temp": 1, + "tssp_ablation": "none", + "tssp_loss_weight": 1.0, + "type_vocab_size": 2, + "use_auth_token": false, + "use_cache": true, + "vocab_size": 29794, + "weight_label_zero": 0.5 +} + +model_type: bert +final max_seq_length: 512 +label_list: ['B-EOP', 'O'] +05/30/2024 21:02:48 - INFO - datasets.arrow_dataset - Process #0 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00000_of_00005.arrow +Process #1 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00001_of_00005.arrow +05/30/2024 21:02:48 - INFO - datasets.arrow_dataset - Process #1 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00001_of_00005.arrow +Process #2 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00002_of_00005.arrow +05/30/2024 21:02:48 - INFO - datasets.arrow_dataset - Process #2 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00002_of_00005.arrow +Process #3 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00003_of_00005.arrow +05/30/2024 21:02:48 - INFO - datasets.arrow_dataset - Process #3 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00003_of_00005.arrow +Process #4 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00004_of_00005.arrow +05/30/2024 21:02:48 - INFO - datasets.arrow_dataset - Process #4 will write at /projeto/SpokenNLP/emnlp2023-topic_segmentation/cached_data/wiki_section_disease_neuralmind/bert-large-portuguese-cased_512/wiki_section_disease/WikiSectionDiseaseForDocumentSegmentation-cd3e6789d682cabd/1.1.1/2a8de58e5edfabadae5522178d4ba307ba7ac6f5cf7cff700081c4a0fd13e1b8/cache-bert_wiki_section_disease_512_train_00004_of_00005.arrow +Spawning 5 processes +05/30/2024 21:02:48 - INFO - datasets.arrow_dataset - Spawning 5 processes + Running tokenizer on train dataset (num_proc=5): 0%| | 0/2513 [00:00> The following columns in the training set don't have a corresponding argument in `BertWithDAForSentenceLabelingTopicSegmentation.forward` and have been ignored: example_id, sentences. If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +/home/ext_maiara_frodrigues2000_gmail_/.pyenv/versions/spokennlp/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning + warnings.warn( +[INFO|trainer.py:1650] 2024-05-30 21:03:59,213 >> ***** Running training ***** +[INFO|trainer.py:1651] 2024-05-30 21:03:59,213 >> Num examples = 10720 +[INFO|trainer.py:1652] 2024-05-30 21:03:59,213 >> Num Epochs = 5 +[INFO|trainer.py:1653] 2024-05-30 21:03:59,214 >> Instantaneous batch size per device = 2 +[INFO|trainer.py:1654] 2024-05-30 21:03:59,214 >> Total train batch size (w. parallel, distributed & accumulation) = 4 +[INFO|trainer.py:1655] 2024-05-30 21:03:59,214 >> Gradient Accumulation steps = 2 +[INFO|trainer.py:1656] 2024-05-30 21:03:59,214 >> Total optimization steps = 13400 +[INFO|trainer.py:1657] 2024-05-30 21:03:59,216 >> Number of trainable parameters = 334402565 + 0%| | 0/13400 [00:00> The following columns in the evaluation set don't have a corresponding argument in `BertWithDAForSentenceLabelingTopicSegmentation.forward` and have been ignored: example_id, sentences. If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +[INFO|trainer.py:2964] 2024-05-30 23:05:51,254 >> ***** Running Evaluation ***** +[INFO|trainer.py:2966] 2024-05-30 23:05:51,254 >> Num examples = 1527 +[INFO|trainer.py:2969] 2024-05-30 23:05:51,254 >> Batch size = 4 +{'loss': 0.5631, 'learning_rate': 4e-05, 'epoch': 1.0} + + 0%| | 0/382 [00:00> Saving model checkpoint to ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-2680 +[INFO|configuration_utils.py:453] 2024-05-30 23:11:41,411 >> Configuration saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-2680/config.json +[INFO|modeling_utils.py:1704] 2024-05-30 23:11:43,950 >> Model weights saved in 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If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +[INFO|trainer.py:2964] 2024-05-31 01:13:34,642 >> ***** Running Evaluation ***** +[INFO|trainer.py:2966] 2024-05-31 01:13:34,643 >> Num examples = 1527 +[INFO|trainer.py:2969] 2024-05-31 01:13:34,643 >> Batch size = 4 +{'eval_loss': nan, 'eval_EOP_precision': 0.9732142857142857, 'eval_EOP_recall': 0.9803761242845462, 'eval_EOP_f1': 0.9767820773930753, 'eval_EOP_number': 2446, 'eval_overall_precision': 0.9732142857142857, 'eval_overall_recall': 0.9803761242845462, 'eval_overall_f1': 0.9767820773930753, 'eval_overall_accuracy': 0.9944503943140882, 'eval_da_EOP_precision': 0.9399624765478424, 'eval_da_EOP_recall': 0.9155701754385965, 'eval_da_EOP_f1': 0.9276059988890947, 'eval_da_EOP_number': 2736, 'eval_da_overall_precision': 0.9399624765478424, 'eval_da_overall_recall': 0.9155701754385965, 'eval_da_overall_f1': 0.9276059988890947, 'eval_da_overall_accuracy': 0.9829540500479553, 'eval_runtime': 350.1554, 'eval_samples_per_second': 4.361, 'eval_steps_per_second': 1.091, 'epoch': 1.0} +{'loss': 0.4083, 'learning_rate': 3e-05, 'epoch': 2.0} + + 0%| | 0/382 [00:00> Saving model checkpoint to ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-5360 +[INFO|configuration_utils.py:453] 2024-05-31 01:19:25,724 >> Configuration saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-5360/config.json +[INFO|modeling_utils.py:1704] 2024-05-31 01:19:28,185 >> Model weights saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-5360/pytorch_model.bin +[INFO|tokenization_utils_base.py:2160] 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If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +[INFO|trainer.py:2964] 2024-05-31 03:21:16,169 >> ***** Running Evaluation ***** +[INFO|trainer.py:2966] 2024-05-31 03:21:16,169 >> Num examples = 1527 +[INFO|trainer.py:2969] 2024-05-31 03:21:16,169 >> Batch size = 4 +{'eval_loss': nan, 'eval_EOP_precision': 0.9779771615008157, 'eval_EOP_recall': 0.9803761242845462, 'eval_EOP_f1': 0.9791751735402207, 'eval_EOP_number': 2446, 'eval_overall_precision': 0.9779771615008157, 'eval_overall_recall': 0.9803761242845462, 'eval_overall_f1': 0.9791751735402207, 'eval_overall_accuracy': 0.9950345633336579, 'eval_da_EOP_precision': 0.9592536176694593, 'eval_da_EOP_recall': 0.9206871345029239, 'eval_da_EOP_f1': 0.9395747855277882, 'eval_da_EOP_number': 2736, 'eval_da_overall_precision': 0.9592536176694593, 'eval_da_overall_recall': 0.9206871345029239, 'eval_da_overall_f1': 0.9395747855277882, 'eval_da_overall_accuracy': 0.985874967303165, 'eval_runtime': 351.0792, 'eval_samples_per_second': 4.349, 'eval_steps_per_second': 1.088, 'epoch': 2.0} +{'loss': 0.3595, 'learning_rate': 2e-05, 'epoch': 3.0} + + 0%| | 0/382 [00:00> Saving model checkpoint to ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-8040 +[INFO|configuration_utils.py:453] 2024-05-31 03:27:06,230 >> Configuration saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-8040/config.json +[INFO|modeling_utils.py:1704] 2024-05-31 03:27:08,605 >> Model weights saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-8040/pytorch_model.bin +[INFO|tokenization_utils_base.py:2160] 2024-05-31 03:27:08,605 >> tokenizer config file saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-8040/tokenizer_config.json +[INFO|tokenization_utils_base.py:2167] 2024-05-31 03:27:08,606 >> Special tokens file saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-8040/special_tokens_map.json +[INFO|trainer.py:2787] 2024-05-31 03:27:23,087 >> Deleting older checkpoint [output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-2680] due to args.save_total_limit + 60%|██████ | 8041/13400 [6:23:27<168:09:49, 112.97s/it] 60%|██████ | 8042/13400 [6:23:29<118:53:16, 79.88s/it] 60%|██████ | 8043/13400 [6:23:32<84:23:48, 56.72s/it] 60%|██████ | 8044/13400 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If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +[INFO|trainer.py:2964] 2024-05-31 05:28:59,767 >> ***** Running Evaluation ***** +[INFO|trainer.py:2966] 2024-05-31 05:28:59,767 >> Num examples = 1527 +[INFO|trainer.py:2969] 2024-05-31 05:28:59,767 >> Batch size = 4 +{'eval_loss': nan, 'eval_EOP_precision': 0.985632183908046, 'eval_EOP_recall': 0.9816026165167621, 'eval_EOP_f1': 0.9836132732486685, 'eval_EOP_number': 2446, 'eval_overall_precision': 0.985632183908046, 'eval_overall_recall': 0.9816026165167621, 'eval_overall_f1': 0.9836132732486685, 'eval_overall_accuracy': 0.9961055398695355, 'eval_da_EOP_precision': 0.968798751950078, 'eval_da_EOP_recall': 0.9078947368421053, 'eval_da_EOP_f1': 0.9373584905660378, 'eval_da_EOP_number': 2736, 'eval_da_overall_precision': 0.968798751950078, 'eval_da_overall_recall': 0.9078947368421053, 'eval_da_overall_f1': 0.9373584905660378, 'eval_da_overall_accuracy': 0.985526201063737, 'eval_runtime': 350.0594, 'eval_samples_per_second': 4.362, 'eval_steps_per_second': 1.091, 'epoch': 3.0} +{'loss': 0.315, 'learning_rate': 1e-05, 'epoch': 4.0} + + 0%| | 0/382 [00:00> Saving model checkpoint to ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-10720 +[INFO|configuration_utils.py:453] 2024-05-31 05:34:50,797 >> Configuration saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-10720/config.json +[INFO|modeling_utils.py:1704] 2024-05-31 05:34:53,324 >> Model weights saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-10720/pytorch_model.bin +[INFO|tokenization_utils_base.py:2160] 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`BertWithDAForSentenceLabelingTopicSegmentation.forward` and have been ignored: example_id, sentences. If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +[INFO|trainer.py:2964] 2024-05-31 07:36:47,496 >> ***** Running Evaluation ***** +[INFO|trainer.py:2966] 2024-05-31 07:36:47,496 >> Num examples = 1527 +[INFO|trainer.py:2969] 2024-05-31 07:36:47,496 >> Batch size = 4 +{'eval_loss': nan, 'eval_EOP_precision': 0.9823770491803279, 'eval_EOP_recall': 0.9799672935404743, 'eval_EOP_f1': 0.981170691772411, 'eval_EOP_number': 2446, 'eval_overall_precision': 0.9823770491803279, 'eval_overall_recall': 0.9799672935404743, 'eval_overall_f1': 0.981170691772411, 'eval_overall_accuracy': 0.995521370849966, 'eval_da_EOP_precision': 0.965143299767622, 'eval_da_EOP_recall': 0.9108187134502924, 'eval_da_EOP_f1': 0.9371944339977436, 'eval_da_EOP_number': 2736, 'eval_da_overall_precision': 0.965143299767622, 'eval_da_overall_recall': 0.9108187134502924, 'eval_da_overall_f1': 0.9371944339977436, 'eval_da_overall_accuracy': 0.98543900950388, 'eval_runtime': 351.0283, 'eval_samples_per_second': 4.35, 'eval_steps_per_second': 1.088, 'epoch': 4.0} +{'loss': 0.2695, 'learning_rate': 0.0, 'epoch': 5.0} + + 0%| | 0/382 [00:00> Saving model checkpoint to ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-13400 +[INFO|configuration_utils.py:453] 2024-05-31 07:42:38,537 >> Configuration saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-13400/config.json +[INFO|modeling_utils.py:1704] 2024-05-31 07:42:40,953 >> Model weights saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-13400/pytorch_model.bin +[INFO|tokenization_utils_base.py:2160] 2024-05-31 07:42:40,954 >> tokenizer config file saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-13400/tokenizer_config.json +[INFO|tokenization_utils_base.py:2167] 2024-05-31 07:42:40,954 >> Special tokens file saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-13400/special_tokens_map.json +[INFO|trainer.py:2787] 2024-05-31 07:42:55,524 >> Deleting older checkpoint [output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-10720] due to args.save_total_limit +[INFO|trainer.py:1901] 2024-05-31 07:42:56,174 >> + +Training completed. Do not forget to share your model on huggingface.co/models =) + + +[INFO|trainer.py:2025] 2024-05-31 07:42:56,174 >> Loading best model from ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/checkpoint-8040 (score: 0.9836132732486685). + 100%|██████████| 13400/13400 [10:39:27<00:00, 2.73s/it] 100%|██████████| 13400/13400 [10:39:27<00:00, 2.86s/it] +[INFO|trainer.py:2709] 2024-05-31 07:43:27,055 >> Saving model checkpoint to ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41 +[INFO|configuration_utils.py:453] 2024-05-31 07:43:27,056 >> Configuration saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/config.json +[INFO|modeling_utils.py:1704] 2024-05-31 07:43:29,461 >> Model weights saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/pytorch_model.bin +[INFO|tokenization_utils_base.py:2160] 2024-05-31 07:43:29,462 >> tokenizer config file saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/tokenizer_config.json +[INFO|tokenization_utils_base.py:2167] 2024-05-31 07:43:29,462 >> Special tokens file saved in ./output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/special_tokens_map.json +{'eval_loss': nan, 'eval_EOP_precision': 0.985996705107084, 'eval_EOP_recall': 0.9787408013082584, 'eval_EOP_f1': 0.9823553549446039, 'eval_EOP_number': 2446, 'eval_overall_precision': 0.985996705107084, 'eval_overall_recall': 0.9787408013082584, 'eval_overall_f1': 0.9823553549446039, 'eval_overall_accuracy': 0.9958134553597507, 'eval_da_EOP_precision': 0.9663573085846868, 'eval_da_EOP_recall': 0.9133771929824561, 'eval_da_EOP_f1': 0.9391206313416008, 'eval_da_EOP_number': 2736, 'eval_da_overall_precision': 0.9663573085846868, 'eval_da_overall_recall': 0.9133771929824561, 'eval_da_overall_f1': 0.9391206313416008, 'eval_da_overall_accuracy': 0.985874967303165, 'eval_runtime': 351.0391, 'eval_samples_per_second': 4.35, 'eval_steps_per_second': 1.088, 'epoch': 5.0} +{'train_runtime': 38367.8373, 'train_samples_per_second': 1.397, 'train_steps_per_second': 0.349, 'train_loss': 0.3830805900915345, 'epoch': 5.0} +***** train metrics ***** + epoch = 5.0 + train_loss = 0.3831 + train_runtime = 10:39:27.83 + train_samples = 10720 + train_samples_per_second = 1.397 + train_steps_per_second = 0.349 +05/31/2024 07:43:29 - INFO - __main__ - *** Evaluate *** +[INFO|trainer.py:710] 2024-05-31 07:43:29,509 >> The following columns in the evaluation set don't have a corresponding argument in `BertWithDAForSentenceLabelingTopicSegmentation.forward` and have been ignored: example_id, sentences. If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +[INFO|trainer.py:2964] 2024-05-31 07:43:29,516 >> ***** Running Evaluation ***** +[INFO|trainer.py:2966] 2024-05-31 07:43:29,516 >> Num examples = 1527 +[INFO|trainer.py:2969] 2024-05-31 07:43:29,516 >> Batch size = 4 + 0%| | 0/382 [00:00> The following columns in the test set don't have a corresponding argument in `BertWithDAForSentenceLabelingTopicSegmentation.forward` and have been ignored: example_id, sentences. If example_id, sentences are not expected by `BertWithDAForSentenceLabelingTopicSegmentation.forward`, you can safely ignore this message. +[INFO|trainer.py:2964] 2024-05-31 07:49:16,550 >> ***** Running Prediction ***** +[INFO|trainer.py:2966] 2024-05-31 07:49:16,550 >> Num examples = 2919 +[INFO|trainer.py:2969] 2024-05-31 07:49:16,550 >> Batch size = 4 +num predict samples: 2919 +num predict examples: 718 + 0%| | 0/730 [00:00 + get_wiki_section_sent_level_metric(data_file, pred_file) + File "./src/postprocess_predictions.py", line 33, in get_wiki_section_sent_level_metric + total_para_level_predictions, total_para_level_labels, total_sent_level_labels = read_total_pred_and_labels(data_file, pred_file) + File "./src/postprocess_predictions.py", line 11, in read_total_pred_and_labels + with open(pred_file, "r") as f: +FileNotFoundError: [Errno 2] No such file or directory: './output/neuralmind/bert-large-portuguese-cased-finetune-wiki_section_disease/seed42-seq512-lr5e-05-epoch5-bs4-ts1.0-tssp1.0-cl0.5-2024-05-30_21:01:41/predict_wiki_section_max_seq512_ts_score_lt.txt' +0 +Run postprocess_predictions to get sent level metric +Save sent level metric