| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: BERT_token_classification_14PTC_aug800_fixed |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # BERT_token_classification_14PTC_aug800_fixed |
| |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5869 |
| - Precision: 0.0559 |
| - Recall: 0.0728 |
| - F1: 0.0633 |
| - Accuracy: 0.7101 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.6525 | 1.0 | 1839 | 1.1412 | 0.0228 | 0.0133 | 0.0168 | 0.7311 | |
| | 0.3649 | 2.0 | 3678 | 1.1856 | 0.0351 | 0.0302 | 0.0325 | 0.7211 | |
| | 0.2838 | 3.0 | 5517 | 1.2173 | 0.0650 | 0.0631 | 0.0640 | 0.7328 | |
| | 0.2152 | 4.0 | 7356 | 1.3204 | 0.0578 | 0.0631 | 0.0603 | 0.7231 | |
| | 0.1864 | 5.0 | 9195 | 1.3214 | 0.0594 | 0.0613 | 0.0603 | 0.7312 | |
| | 0.1579 | 6.0 | 11034 | 1.4035 | 0.0616 | 0.0577 | 0.0596 | 0.7220 | |
| | 0.1427 | 7.0 | 12873 | 1.4422 | 0.0529 | 0.0657 | 0.0586 | 0.7068 | |
| | 0.1297 | 8.0 | 14712 | 1.5468 | 0.0623 | 0.0835 | 0.0713 | 0.7059 | |
| | 0.1161 | 9.0 | 16551 | 1.5283 | 0.0621 | 0.0790 | 0.0696 | 0.7140 | |
| | 0.0943 | 10.0 | 18390 | 1.5869 | 0.0559 | 0.0728 | 0.0633 | 0.7101 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.30.2 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.13.3 |
| |
