| [2025-07-09 17:04:19,126][__main__][INFO] - cache_dir: /tmp/ | |
| dataset: | |
| name: kamel-usp/aes_enem_dataset | |
| split: JBCS2025 | |
| training_params: | |
| seed: 42 | |
| num_train_epochs: 20 | |
| logging_steps: 100 | |
| metric_for_best_model: QWK | |
| bf16: true | |
| bootstrap: | |
| enabled: true | |
| n_bootstrap: 10000 | |
| bootstrap_seed: 42 | |
| metrics: | |
| - QWK | |
| - Macro_F1 | |
| - Weighted_F1 | |
| post_training_results: | |
| model_path: /workspace/jbcs2025/outputs/2025-03-24/20-42-59 | |
| experiments: | |
| model: | |
| name: ricardoz/BERTugues-base-portuguese-cased | |
| type: encoder_classification | |
| num_labels: 6 | |
| output_dir: ./results/ | |
| logging_dir: ./logs/ | |
| best_model_dir: ./results/best_model | |
| tokenizer: | |
| name: ricardoz/BERTugues-base-portuguese-cased | |
| dataset: | |
| grade_index: 2 | |
| use_full_context: false | |
| training_params: | |
| weight_decay: 0.01 | |
| warmup_ratio: 0.1 | |
| learning_rate: 5.0e-05 | |
| train_batch_size: 16 | |
| eval_batch_size: 16 | |
| gradient_accumulation_steps: 1 | |
| gradient_checkpointing: false | |
| [2025-07-09 17:04:22,994][__main__][INFO] - GPU 0: NVIDIA RTX A6000 | TDP ≈ 300 W | |
| [2025-07-09 17:04:22,994][__main__][INFO] - Starting the Fine Tuning training process. | |
| [2025-07-09 17:04:29,107][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--ricardoz--BERTugues-base-portuguese-cased/snapshots/76022866e209716d673e144cc9186f7b20830967/config.json | |
| [2025-07-09 17:04:29,109][transformers.configuration_utils][INFO] - Model config BertConfig { | |
| "architectures": [ | |
| "BertForPreTraining" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |
| [2025-07-09 17:04:29,314][transformers.models.auto.tokenization_auto][INFO] - Could not locate the tokenizer configuration file, will try to use the model config instead. | |
| [2025-07-09 17:04:29,519][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--ricardoz--BERTugues-base-portuguese-cased/snapshots/76022866e209716d673e144cc9186f7b20830967/config.json | |
| [2025-07-09 17:04:29,520][transformers.configuration_utils][INFO] - Model config BertConfig { | |
| "architectures": [ | |
| "BertForPreTraining" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |
| [2025-07-09 17:04:30,137][transformers.tokenization_utils_base][INFO] - loading file vocab.txt from cache at /tmp/models--ricardoz--BERTugues-base-portuguese-cased/snapshots/76022866e209716d673e144cc9186f7b20830967/vocab.txt | |
| [2025-07-09 17:04:30,137][transformers.tokenization_utils_base][INFO] - loading file tokenizer.json from cache at None | |
| [2025-07-09 17:04:30,137][transformers.tokenization_utils_base][INFO] - loading file added_tokens.json from cache at None | |
| [2025-07-09 17:04:30,137][transformers.tokenization_utils_base][INFO] - loading file special_tokens_map.json from cache at None | |
| [2025-07-09 17:04:30,137][transformers.tokenization_utils_base][INFO] - loading file tokenizer_config.json from cache at None | |
| [2025-07-09 17:04:30,137][transformers.tokenization_utils_base][INFO] - loading file chat_template.jinja from cache at None | |
| [2025-07-09 17:04:30,137][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--ricardoz--BERTugues-base-portuguese-cased/snapshots/76022866e209716d673e144cc9186f7b20830967/config.json | |
| [2025-07-09 17:04:30,138][transformers.configuration_utils][INFO] - Model config BertConfig { | |
| "architectures": [ | |
| "BertForPreTraining" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |
| [2025-07-09 17:04:30,170][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--ricardoz--BERTugues-base-portuguese-cased/snapshots/76022866e209716d673e144cc9186f7b20830967/config.json | |
| [2025-07-09 17:04:30,171][transformers.configuration_utils][INFO] - Model config BertConfig { | |
| "architectures": [ | |
| "BertForPreTraining" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |
| [2025-07-09 17:04:30,190][__main__][INFO] - Tokenizer function parameters- Padding:longest; Truncation: True; Use Full Context: False | |
| [2025-07-09 17:04:30,954][__main__][INFO] - | |
| Token statistics for 'train' split: | |
| [2025-07-09 17:04:30,954][__main__][INFO] - Total examples: 500 | |
| [2025-07-09 17:04:30,954][__main__][INFO] - Min tokens: 512 | |
| [2025-07-09 17:04:30,954][__main__][INFO] - Max tokens: 512 | |
| [2025-07-09 17:04:30,954][__main__][INFO] - Avg tokens: 512.00 | |
| [2025-07-09 17:04:30,954][__main__][INFO] - Std tokens: 0.00 | |
| [2025-07-09 17:04:31,058][__main__][INFO] - | |
| Token statistics for 'validation' split: | |
| [2025-07-09 17:04:31,058][__main__][INFO] - Total examples: 132 | |
| [2025-07-09 17:04:31,058][__main__][INFO] - Min tokens: 512 | |
| [2025-07-09 17:04:31,058][__main__][INFO] - Max tokens: 512 | |
| [2025-07-09 17:04:31,058][__main__][INFO] - Avg tokens: 512.00 | |
| [2025-07-09 17:04:31,058][__main__][INFO] - Std tokens: 0.00 | |
| [2025-07-09 17:04:31,159][__main__][INFO] - | |
| Token statistics for 'test' split: | |
| [2025-07-09 17:04:31,159][__main__][INFO] - Total examples: 138 | |
| [2025-07-09 17:04:31,159][__main__][INFO] - Min tokens: 512 | |
| [2025-07-09 17:04:31,159][__main__][INFO] - Max tokens: 512 | |
| [2025-07-09 17:04:31,159][__main__][INFO] - Avg tokens: 512.00 | |
| [2025-07-09 17:04:31,159][__main__][INFO] - Std tokens: 0.00 | |
| [2025-07-09 17:04:31,160][__main__][INFO] - If token statistics are the same (max, avg, min) keep in mind that this is due to batched tokenization and padding. | |
| [2025-07-09 17:04:31,160][__main__][INFO] - Model max length: 512. If it is the same as stats, then there is a high chance that sequences are being truncated. | |
| [2025-07-09 17:04:31,375][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--ricardoz--BERTugues-base-portuguese-cased/snapshots/76022866e209716d673e144cc9186f7b20830967/config.json | |
| [2025-07-09 17:04:31,375][transformers.configuration_utils][INFO] - Model config BertConfig { | |
| "architectures": [ | |
| "BertForPreTraining" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": 0, | |
| "1": 40, | |
| "2": 80, | |
| "3": 120, | |
| "4": 160, | |
| "5": 200 | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "0": 0, | |
| "40": 1, | |
| "80": 2, | |
| "120": 3, | |
| "160": 4, | |
| "200": 5 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |
| [2025-07-09 17:04:31,577][transformers.modeling_utils][INFO] - loading weights file model.safetensors from cache at /tmp/models--ricardoz--BERTugues-base-portuguese-cased/snapshots/76022866e209716d673e144cc9186f7b20830967/model.safetensors | |
| [2025-07-09 17:04:31,577][transformers.modeling_utils][INFO] - Will use torch_dtype=torch.float32 as defined in model's config object | |
| [2025-07-09 17:04:31,577][transformers.modeling_utils][INFO] - Instantiating BertForSequenceClassification model under default dtype torch.float32. | |
| [2025-07-09 17:04:32,380][transformers.modeling_utils][INFO] - Some weights of the model checkpoint at ricardoz/BERTugues-base-portuguese-cased were not used when initializing BertForSequenceClassification: ['cls.predictions.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.seq_relationship.bias', 'cls.seq_relationship.weight'] | |
| - This IS expected if you are initializing BertForSequenceClassification 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 BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). | |
| [2025-07-09 17:04:32,380][transformers.modeling_utils][WARNING] - Some weights of BertForSequenceClassification were not initialized from the model checkpoint at ricardoz/BERTugues-base-portuguese-cased and are newly initialized: ['classifier.bias', 'classifier.weight'] | |
| You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. | |
| [2025-07-09 17:04:32,385][transformers.training_args][INFO] - PyTorch: setting up devices | |
| [2025-07-09 17:04:32,408][__main__][INFO] - Total steps: 620. Number of warmup steps: 62 | |
| [2025-07-09 17:04:32,414][transformers.trainer][INFO] - You have loaded a model on multiple GPUs. `is_model_parallel` attribute will be force-set to `True` to avoid any unexpected behavior such as device placement mismatching. | |
| [2025-07-09 17:04:32,436][transformers.trainer][INFO] - Using auto half precision backend | |
| [2025-07-09 17:04:32,438][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:04:32,442][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:04:32,442][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:04:32,442][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:04:33,464][transformers.trainer][INFO] - The following columns in the Training set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:04:33,473][transformers.trainer][INFO] - ***** Running training ***** | |
| [2025-07-09 17:04:33,473][transformers.trainer][INFO] - Num examples = 500 | |
| [2025-07-09 17:04:33,473][transformers.trainer][INFO] - Num Epochs = 20 | |
| [2025-07-09 17:04:33,473][transformers.trainer][INFO] - Instantaneous batch size per device = 16 | |
| [2025-07-09 17:04:33,473][transformers.trainer][INFO] - Total train batch size (w. parallel, distributed & accumulation) = 16 | |
| [2025-07-09 17:04:33,473][transformers.trainer][INFO] - Gradient Accumulation steps = 1 | |
| [2025-07-09 17:04:33,473][transformers.trainer][INFO] - Total optimization steps = 640 | |
| [2025-07-09 17:04:33,474][transformers.trainer][INFO] - Number of trainable parameters = 109,486,854 | |
| [2025-07-09 17:04:38,107][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:04:38,110][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:04:38,110][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:04:38,110][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:04:38,498][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-32 | |
| [2025-07-09 17:04:38,499][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-32/config.json | |
| [2025-07-09 17:04:39,433][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-32/model.safetensors | |
| [2025-07-09 17:04:44,704][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:04:44,706][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:04:44,707][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:04:44,707][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:04:45,096][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-64 | |
| [2025-07-09 17:04:45,098][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-64/config.json | |
| [2025-07-09 17:04:46,269][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-64/model.safetensors | |
| [2025-07-09 17:04:47,530][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-32] due to args.save_total_limit | |
| [2025-07-09 17:04:52,228][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:04:52,231][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:04:52,232][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:04:52,232][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:04:52,653][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-96 | |
| [2025-07-09 17:04:52,655][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-96/config.json | |
| [2025-07-09 17:04:53,627][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-96/model.safetensors | |
| [2025-07-09 17:04:59,027][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:04:59,029][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:04:59,030][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:04:59,030][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:04:59,419][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-128 | |
| [2025-07-09 17:04:59,420][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-128/config.json | |
| [2025-07-09 17:05:00,311][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-128/model.safetensors | |
| [2025-07-09 17:05:01,114][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-96] due to args.save_total_limit | |
| [2025-07-09 17:05:05,758][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:05,761][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:05,761][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:05,761][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:06,149][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-160 | |
| [2025-07-09 17:05:06,151][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-160/config.json | |
| [2025-07-09 17:05:07,172][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-160/model.safetensors | |
| [2025-07-09 17:05:08,394][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-64] due to args.save_total_limit | |
| [2025-07-09 17:05:08,510][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-128] due to args.save_total_limit | |
| [2025-07-09 17:05:13,284][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:13,287][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:13,288][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:13,288][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:13,710][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-192 | |
| [2025-07-09 17:05:13,712][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-192/config.json | |
| [2025-07-09 17:05:14,721][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-192/model.safetensors | |
| [2025-07-09 17:05:20,283][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:20,290][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:20,290][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:20,290][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:20,684][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-224 | |
| [2025-07-09 17:05:20,686][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-224/config.json | |
| [2025-07-09 17:05:21,697][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-224/model.safetensors | |
| [2025-07-09 17:05:23,064][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-160] due to args.save_total_limit | |
| [2025-07-09 17:05:23,196][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-192] due to args.save_total_limit | |
| [2025-07-09 17:05:27,855][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:27,861][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:27,861][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:27,861][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:28,258][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-256 | |
| [2025-07-09 17:05:28,259][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-256/config.json | |
| [2025-07-09 17:05:29,461][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-256/model.safetensors | |
| [2025-07-09 17:05:30,496][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-224] due to args.save_total_limit | |
| [2025-07-09 17:05:35,212][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:35,216][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:35,216][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:35,216][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:35,644][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-288 | |
| [2025-07-09 17:05:35,646][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-288/config.json | |
| [2025-07-09 17:05:36,831][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-288/model.safetensors | |
| [2025-07-09 17:05:42,600][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:42,605][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:42,605][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:42,605][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:43,003][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-320 | |
| [2025-07-09 17:05:43,005][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-320/config.json | |
| [2025-07-09 17:05:43,926][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-320/model.safetensors | |
| [2025-07-09 17:05:44,704][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-288] due to args.save_total_limit | |
| [2025-07-09 17:05:49,345][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:49,348][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:49,348][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:49,348][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:49,741][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-352 | |
| [2025-07-09 17:05:49,743][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-352/config.json | |
| [2025-07-09 17:05:50,571][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-352/model.safetensors | |
| [2025-07-09 17:05:51,384][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-320] due to args.save_total_limit | |
| [2025-07-09 17:05:56,030][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:05:56,033][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:05:56,033][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:05:56,033][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:05:56,424][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-384 | |
| [2025-07-09 17:05:56,425][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-384/config.json | |
| [2025-07-09 17:05:57,204][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-384/model.safetensors | |
| [2025-07-09 17:05:57,996][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-352] due to args.save_total_limit | |
| [2025-07-09 17:06:02,695][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:06:02,698][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:06:02,698][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:06:02,698][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:06:03,088][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-416 | |
| [2025-07-09 17:06:03,090][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-416/config.json | |
| [2025-07-09 17:06:03,995][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-416/model.safetensors | |
| [2025-07-09 17:06:04,799][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-384] due to args.save_total_limit | |
| [2025-07-09 17:06:04,912][transformers.trainer][INFO] - | |
| Training completed. Do not forget to share your model on huggingface.co/models =) | |
| [2025-07-09 17:06:04,913][transformers.trainer][INFO] - Loading best model from /workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-256 (score: 0.5384823603717406). | |
| [2025-07-09 17:06:05,136][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-04-19/results/checkpoint-416] due to args.save_total_limit | |
| [2025-07-09 17:06:05,256][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:06:05,260][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:06:05,260][transformers.trainer][INFO] - Num examples = 132 | |
| [2025-07-09 17:06:05,260][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:06:05,661][__main__][INFO] - Training completed successfully. | |
| [2025-07-09 17:06:05,661][__main__][INFO] - Running on Test | |
| [2025-07-09 17:06:05,662][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year. If id, grades, essay_text, prompt, reference, id_prompt, supporting_text, essay_year are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. | |
| [2025-07-09 17:06:05,664][transformers.trainer][INFO] - | |
| ***** Running Evaluation ***** | |
| [2025-07-09 17:06:05,664][transformers.trainer][INFO] - Num examples = 138 | |
| [2025-07-09 17:06:05,664][transformers.trainer][INFO] - Batch size = 16 | |
| [2025-07-09 17:06:06,060][__main__][INFO] - Test metrics: {'eval_loss': 2.0192933082580566, 'eval_model_preparation_time': 0.0019, 'eval_accuracy': 0.36231884057971014, 'eval_RMSE': 55.638585297552666, 'eval_QWK': 0.2865109794353433, 'eval_HDIV': 0.09420289855072461, 'eval_Macro_F1': 0.26051544019593825, 'eval_Micro_F1': 0.36231884057971014, 'eval_Weighted_F1': 0.34754448627572954, 'eval_TP_0': 0, 'eval_TN_0': 135, 'eval_FP_0': 2, 'eval_FN_0': 1, 'eval_TP_1': 3, 'eval_TN_1': 100, 'eval_FP_1': 9, 'eval_FN_1': 26, 'eval_TP_2': 10, 'eval_TN_2': 102, 'eval_FP_2': 18, 'eval_FN_2': 8, 'eval_TP_3': 18, 'eval_TN_3': 63, 'eval_FP_3': 30, 'eval_FN_3': 27, 'eval_TP_4': 18, 'eval_TN_4': 78, 'eval_FP_4': 22, 'eval_FN_4': 20, 'eval_TP_5': 1, 'eval_TN_5': 124, 'eval_FP_5': 7, 'eval_FN_5': 6, 'eval_runtime': 0.3908, 'eval_samples_per_second': 353.12, 'eval_steps_per_second': 23.03, 'epoch': 13.0} | |
| [2025-07-09 17:06:06,061][transformers.trainer][INFO] - Saving model checkpoint to ./results/best_model | |
| [2025-07-09 17:06:06,062][transformers.configuration_utils][INFO] - Configuration saved in ./results/best_model/config.json | |
| [2025-07-09 17:06:07,003][transformers.modeling_utils][INFO] - Model weights saved in ./results/best_model/model.safetensors | |
| [2025-07-09 17:06:07,005][transformers.tokenization_utils_base][INFO] - tokenizer config file saved in ./results/best_model/tokenizer_config.json | |
| [2025-07-09 17:06:07,006][transformers.tokenization_utils_base][INFO] - Special tokens file saved in ./results/best_model/special_tokens_map.json | |
| [2025-07-09 17:06:07,018][__main__][INFO] - Model and tokenizer saved to ./results/best_model | |
| [2025-07-09 17:06:07,023][__main__][INFO] - Fine Tuning Finished. | |
| [2025-07-09 17:06:07,532][__main__][INFO] - Total emissions: 0.0021 kg CO2eq | |