| [2025-07-09 17:10:13,702][__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: google-bert/bert-base-multilingual-cased |
| type: encoder_classification |
| num_labels: 6 |
| output_dir: ./results/ |
| logging_dir: ./logs/ |
| best_model_dir: ./results/best_model |
| tokenizer: |
| name: google-bert/bert-base-multilingual-cased |
| dataset: |
| grade_index: 0 |
| 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 17:10:17,535][__main__][INFO] - GPU 0: NVIDIA RTX A6000 | TDP ≈ 300 W |
| [2025-07-09 17:10:17,535][__main__][INFO] - Starting the Fine Tuning training process. |
| [2025-07-09 17:10:21,995][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/config.json |
| [2025-07-09 17:10:21,996][transformers.configuration_utils][INFO] - Model config BertConfig { |
| "architectures": [ |
| "BertForMaskedLM" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "directionality": "bidi", |
| "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, |
| "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": "4.53.1", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 119547 |
| } |
|
|
| [2025-07-09 17:10:22,196][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/config.json |
| [2025-07-09 17:10:22,196][transformers.configuration_utils][INFO] - Model config BertConfig { |
| "architectures": [ |
| "BertForMaskedLM" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "directionality": "bidi", |
| "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, |
| "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": "4.53.1", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 119547 |
| } |
|
|
| [2025-07-09 17:10:22,385][transformers.tokenization_utils_base][INFO] - loading file vocab.txt from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/vocab.txt |
| [2025-07-09 17:10:22,386][transformers.tokenization_utils_base][INFO] - loading file tokenizer.json from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/tokenizer.json |
| [2025-07-09 17:10:22,386][transformers.tokenization_utils_base][INFO] - loading file added_tokens.json from cache at None |
| [2025-07-09 17:10:22,386][transformers.tokenization_utils_base][INFO] - loading file special_tokens_map.json from cache at None |
| [2025-07-09 17:10:22,386][transformers.tokenization_utils_base][INFO] - loading file tokenizer_config.json from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/tokenizer_config.json |
| [2025-07-09 17:10:22,386][transformers.tokenization_utils_base][INFO] - loading file chat_template.jinja from cache at None |
| [2025-07-09 17:10:22,386][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/config.json |
| [2025-07-09 17:10:22,387][transformers.configuration_utils][INFO] - Model config BertConfig { |
| "architectures": [ |
| "BertForMaskedLM" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "directionality": "bidi", |
| "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, |
| "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": "4.53.1", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 119547 |
| } |
|
|
| [2025-07-09 17:10:22,653][__main__][INFO] - Tokenizer function parameters- Padding:longest; Truncation: True; Use Full Context: False |
| [2025-07-09 17:10:23,368][__main__][INFO] - |
| Token statistics for 'train' split: |
| [2025-07-09 17:10:23,368][__main__][INFO] - Total examples: 500 |
| [2025-07-09 17:10:23,368][__main__][INFO] - Min tokens: 512 |
| [2025-07-09 17:10:23,368][__main__][INFO] - Max tokens: 512 |
| [2025-07-09 17:10:23,368][__main__][INFO] - Avg tokens: 512.00 |
| [2025-07-09 17:10:23,368][__main__][INFO] - Std tokens: 0.00 |
| [2025-07-09 17:10:23,468][__main__][INFO] - |
| Token statistics for 'validation' split: |
| [2025-07-09 17:10:23,468][__main__][INFO] - Total examples: 132 |
| [2025-07-09 17:10:23,468][__main__][INFO] - Min tokens: 512 |
| [2025-07-09 17:10:23,468][__main__][INFO] - Max tokens: 512 |
| [2025-07-09 17:10:23,468][__main__][INFO] - Avg tokens: 512.00 |
| [2025-07-09 17:10:23,468][__main__][INFO] - Std tokens: 0.00 |
| [2025-07-09 17:10:23,575][__main__][INFO] - |
| Token statistics for 'test' split: |
| [2025-07-09 17:10:23,575][__main__][INFO] - Total examples: 138 |
| [2025-07-09 17:10:23,575][__main__][INFO] - Min tokens: 512 |
| [2025-07-09 17:10:23,575][__main__][INFO] - Max tokens: 512 |
| [2025-07-09 17:10:23,575][__main__][INFO] - Avg tokens: 512.00 |
| [2025-07-09 17:10:23,575][__main__][INFO] - Std tokens: 0.00 |
| [2025-07-09 17:10:23,575][__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 17:10:23,575][__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 17:10:23,775][transformers.configuration_utils][INFO] - loading configuration file config.json from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/config.json |
| [2025-07-09 17:10:23,776][transformers.configuration_utils][INFO] - Model config BertConfig { |
| "architectures": [ |
| "BertForMaskedLM" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "directionality": "bidi", |
| "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, |
| "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": "4.53.1", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 119547 |
| } |
|
|
| [2025-07-09 17:10:23,957][transformers.modeling_utils][INFO] - loading weights file model.safetensors from cache at /tmp/models--google-bert--bert-base-multilingual-cased/snapshots/3f076fdb1ab68d5b2880cb87a0886f315b8146f8/model.safetensors |
| [2025-07-09 17:10:23,965][transformers.modeling_utils][INFO] - Since the `torch_dtype` attribute can't be found in model's config object, will use torch_dtype={torch_dtype} as derived from model's weights |
| [2025-07-09 17:10:23,965][transformers.modeling_utils][INFO] - Instantiating BertForSequenceClassification model under default dtype torch.float32. |
| [2025-07-09 17:10:24,194][transformers.modeling_utils][INFO] - A pretrained model of type `BertForSequenceClassification` contains parameters that have been renamed internally (a few are listed below but more are present in the model): |
| * `cls.predictions.transform.LayerNorm.beta` -> `cls.predictions.transform.LayerNorm.bias` |
| * `cls.predictions.transform.LayerNorm.gamma` -> `cls.predictions.transform.LayerNorm.weight` |
| If you are using a model from the Hub, consider submitting a PR to adjust these weights and help future users. |
| [2025-07-09 17:10:25,084][transformers.modeling_utils][INFO] - Some weights of the model checkpoint at google-bert/bert-base-multilingual-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 17:10:25,084][transformers.modeling_utils][WARNING] - Some weights of BertForSequenceClassification were not initialized from the model checkpoint at google-bert/bert-base-multilingual-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 17:10:25,090][transformers.training_args][INFO] - PyTorch: setting up devices |
| [2025-07-09 17:10:25,112][__main__][INFO] - Total steps: 620. Number of warmup steps: 62 |
| [2025-07-09 17:10:25,121][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 17:10:25,146][transformers.trainer][INFO] - Using auto half precision backend |
| [2025-07-09 17:10:25,148][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:10:25,153][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:10:25,153][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:10:25,153][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:10:26,049][transformers.trainer][INFO] - The following columns in the Training set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:10:26,058][transformers.trainer][INFO] - ***** Running training ***** |
| [2025-07-09 17:10:26,058][transformers.trainer][INFO] - Num examples = 500 |
| [2025-07-09 17:10:26,058][transformers.trainer][INFO] - Num Epochs = 20 |
| [2025-07-09 17:10:26,058][transformers.trainer][INFO] - Instantaneous batch size per device = 16 |
| [2025-07-09 17:10:26,058][transformers.trainer][INFO] - Total train batch size (w. parallel, distributed & accumulation) = 16 |
| [2025-07-09 17:10:26,058][transformers.trainer][INFO] - Gradient Accumulation steps = 1 |
| [2025-07-09 17:10:26,058][transformers.trainer][INFO] - Total optimization steps = 640 |
| [2025-07-09 17:10:26,059][transformers.trainer][INFO] - Number of trainable parameters = 177,858,054 |
| [2025-07-09 17:10:30,991][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:10:30,993][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:10:30,993][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:10:30,993][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:10:31,380][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-32 |
| [2025-07-09 17:10:31,381][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-32/config.json |
| [2025-07-09 17:10:32,662][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-32/model.safetensors |
| [2025-07-09 17:10:39,168][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:10:39,171][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:10:39,171][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:10:39,171][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:10:39,557][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-64 |
| [2025-07-09 17:10:39,559][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-64/config.json |
| [2025-07-09 17:10:40,871][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-64/model.safetensors |
| [2025-07-09 17:10:42,956][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-32] due to args.save_total_limit |
| [2025-07-09 17:10:47,966][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:10:47,969][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:10:47,969][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:10:47,969][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:10:48,364][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-96 |
| [2025-07-09 17:10:48,365][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-96/config.json |
| [2025-07-09 17:10:50,370][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-96/model.safetensors |
| [2025-07-09 17:10:52,138][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-64] due to args.save_total_limit |
| [2025-07-09 17:10:57,123][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:10:57,128][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:10:57,128][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:10:57,128][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:10:57,523][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-128 |
| [2025-07-09 17:10:57,525][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-128/config.json |
| [2025-07-09 17:10:58,970][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-128/model.safetensors |
| [2025-07-09 17:11:00,598][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-96] due to args.save_total_limit |
| [2025-07-09 17:11:05,572][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:11:05,575][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:11:05,575][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:11:05,575][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:11:05,962][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-160 |
| [2025-07-09 17:11:05,963][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-160/config.json |
| [2025-07-09 17:11:07,174][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-160/model.safetensors |
| [2025-07-09 17:11:13,628][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:11:13,631][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:11:13,631][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:11:13,631][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:11:14,021][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-192 |
| [2025-07-09 17:11:14,022][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-192/config.json |
| [2025-07-09 17:11:15,830][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-192/model.safetensors |
| [2025-07-09 17:11:17,403][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-160] due to args.save_total_limit |
| [2025-07-09 17:11:22,426][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:11:22,429][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:11:22,429][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:11:22,429][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:11:22,816][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-224 |
| [2025-07-09 17:11:22,818][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-224/config.json |
| [2025-07-09 17:11:24,074][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-224/model.safetensors |
| [2025-07-09 17:11:25,720][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-128] due to args.save_total_limit |
| [2025-07-09 17:11:25,913][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-192] due to args.save_total_limit |
| [2025-07-09 17:11:30,963][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:11:30,965][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:11:30,966][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:11:30,966][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:11:31,356][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-256 |
| [2025-07-09 17:11:31,357][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-256/config.json |
| [2025-07-09 17:11:32,518][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-256/model.safetensors |
| [2025-07-09 17:11:38,890][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:11:38,893][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:11:38,893][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:11:38,893][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:11:39,286][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-288 |
| [2025-07-09 17:11:39,287][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-288/config.json |
| [2025-07-09 17:11:40,416][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-288/model.safetensors |
| [2025-07-09 17:11:42,013][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-256] due to args.save_total_limit |
| [2025-07-09 17:11:47,014][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:11:47,017][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:11:47,017][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:11:47,017][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:11:47,431][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-320 |
| [2025-07-09 17:11:47,433][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-320/config.json |
| [2025-07-09 17:11:48,738][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-320/model.safetensors |
| [2025-07-09 17:11:50,331][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-288] due to args.save_total_limit |
| [2025-07-09 17:11:55,293][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:11:55,296][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:11:55,296][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:11:55,296][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:11:55,683][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-352 |
| [2025-07-09 17:11:55,685][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-352/config.json |
| [2025-07-09 17:11:56,871][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-352/model.safetensors |
| [2025-07-09 17:11:58,761][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-320] due to args.save_total_limit |
| [2025-07-09 17:12:03,735][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:12:03,739][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:12:03,739][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:12:03,739][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:12:04,127][transformers.trainer][INFO] - Saving model checkpoint to /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-384 |
| [2025-07-09 17:12:04,129][transformers.configuration_utils][INFO] - Configuration saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-384/config.json |
| [2025-07-09 17:12:05,323][transformers.modeling_utils][INFO] - Model weights saved in /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-384/model.safetensors |
| [2025-07-09 17:12:06,909][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-352] due to args.save_total_limit |
| [2025-07-09 17:12:07,072][transformers.trainer][INFO] - |
|
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| Training completed. Do not forget to share your model on huggingface.co/models =) |
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|
|
| [2025-07-09 17:12:07,072][transformers.trainer][INFO] - Loading best model from /workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-224 (score: 0.49077687123093305). |
| [2025-07-09 17:12:07,502][transformers.trainer][INFO] - Deleting older checkpoint [/workspace/jbcs2025/outputs/2025-07-09/17-10-13/results/checkpoint-384] due to args.save_total_limit |
| [2025-07-09 17:12:07,671][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:12:07,674][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:12:07,674][transformers.trainer][INFO] - Num examples = 132 |
| [2025-07-09 17:12:07,674][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:12:08,081][__main__][INFO] - Training completed successfully. |
| [2025-07-09 17:12:08,082][__main__][INFO] - Running on Test |
| [2025-07-09 17:12:08,082][transformers.trainer][INFO] - The following columns in the Evaluation set don't have a corresponding argument in `BertForSequenceClassification.forward` and have been ignored: id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text. If id, reference, id_prompt, prompt, grades, essay_year, essay_text, supporting_text are not expected by `BertForSequenceClassification.forward`, you can safely ignore this message. |
| [2025-07-09 17:12:08,084][transformers.trainer][INFO] - |
| ***** Running Evaluation ***** |
| [2025-07-09 17:12:08,084][transformers.trainer][INFO] - Num examples = 138 |
| [2025-07-09 17:12:08,084][transformers.trainer][INFO] - Batch size = 16 |
| [2025-07-09 17:12:08,476][__main__][INFO] - Test metrics: {'eval_loss': 1.3753403425216675, 'eval_model_preparation_time': 0.0021, 'eval_accuracy': 0.6159420289855072, 'eval_RMSE': 28.48849246447679, 'eval_QWK': 0.5069416088199266, 'eval_HDIV': 0.007246376811594235, 'eval_Macro_F1': 0.35419023454421683, 'eval_Micro_F1': 0.6159420289855072, 'eval_Weighted_F1': 0.5913421963441202, 'eval_TP_0': 0, 'eval_TN_0': 137, 'eval_FP_0': 0, 'eval_FN_0': 1, 'eval_TP_1': 0, 'eval_TN_1': 138, 'eval_FP_1': 0, 'eval_FN_1': 0, 'eval_TP_2': 5, 'eval_TN_2': 121, 'eval_FP_2': 7, 'eval_FN_2': 5, 'eval_TP_3': 43, 'eval_TN_3': 51, 'eval_FP_3': 21, 'eval_FN_3': 23, 'eval_TP_4': 37, 'eval_TN_4': 62, 'eval_FP_4': 25, 'eval_FN_4': 14, 'eval_TP_5': 0, 'eval_TN_5': 128, 'eval_FP_5': 0, 'eval_FN_5': 10, 'eval_runtime': 0.3866, 'eval_samples_per_second': 356.924, 'eval_steps_per_second': 23.278, 'epoch': 12.0} |
| [2025-07-09 17:12:08,476][transformers.trainer][INFO] - Saving model checkpoint to ./results/best_model |
| [2025-07-09 17:12:08,478][transformers.configuration_utils][INFO] - Configuration saved in ./results/best_model/config.json |
| [2025-07-09 17:12:09,900][transformers.modeling_utils][INFO] - Model weights saved in ./results/best_model/model.safetensors |
| [2025-07-09 17:12:09,902][transformers.tokenization_utils_base][INFO] - tokenizer config file saved in ./results/best_model/tokenizer_config.json |
| [2025-07-09 17:12:09,902][transformers.tokenization_utils_base][INFO] - Special tokens file saved in ./results/best_model/special_tokens_map.json |
| [2025-07-09 17:12:09,993][__main__][INFO] - Model and tokenizer saved to ./results/best_model |
| [2025-07-09 17:12:10,025][__main__][INFO] - Fine Tuning Finished. |
| [2025-07-09 17:12:10,544][__main__][INFO] - Total emissions: 0.0022 kg CO2eq |
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