| base_model: medicalai/ClinicalBERT | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: working | |
| 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. --> | |
| # working | |
| This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0108 | |
| - F1: 0.9834 | |
| - Roc Auc: 0.9930 | |
| - Accuracy: 0.9853 | |
| ## 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: 5e-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: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| | |
| | No log | 1.0 | 136 | 0.0223 | 0.9834 | 0.9930 | 0.9853 | | |
| | No log | 2.0 | 272 | 0.0163 | 0.9881 | 0.9959 | 0.9926 | | |
| | No log | 3.0 | 408 | 0.0137 | 0.9834 | 0.9930 | 0.9853 | | |
| | 0.0216 | 4.0 | 544 | 0.0120 | 0.9834 | 0.9930 | 0.9853 | | |
| | 0.0216 | 5.0 | 680 | 0.0108 | 0.9834 | 0.9930 | 0.9853 | | |
| ### Framework versions | |
| - Transformers 4.37.0 | |
| - Pytorch 2.1.2+cu118 | |
| - Datasets 2.16.1 | |
| - Tokenizers 0.15.0 | |