| --- |
| library_name: transformers |
| license: mit |
| base_model: emilyalsentzer/Bio_ClinicalBERT |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: my-symptom-checker-biobert |
| 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. --> |
|
|
| # my-symptom-checker-biobert |
|
|
| This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1376 |
|
|
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 30 | 2.9013 | |
| | No log | 2.0 | 60 | 2.4887 | |
| | No log | 3.0 | 90 | 2.0553 | |
| | No log | 4.0 | 120 | 1.6494 | |
| | No log | 5.0 | 150 | 1.3190 | |
| | No log | 6.0 | 180 | 1.0499 | |
| | No log | 7.0 | 210 | 0.8211 | |
| | No log | 8.0 | 240 | 0.6230 | |
| | No log | 9.0 | 270 | 0.4702 | |
| | No log | 10.0 | 300 | 0.3656 | |
| | No log | 11.0 | 330 | 0.2884 | |
| | No log | 12.0 | 360 | 0.2331 | |
| | No log | 13.0 | 390 | 0.1986 | |
| | No log | 14.0 | 420 | 0.1808 | |
| | No log | 15.0 | 450 | 0.1630 | |
| | No log | 16.0 | 480 | 0.1546 | |
| | 0.9873 | 17.0 | 510 | 0.1469 | |
| | 0.9873 | 18.0 | 540 | 0.1409 | |
| | 0.9873 | 19.0 | 570 | 0.1378 | |
| | 0.9873 | 20.0 | 600 | 0.1376 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.4.1 |
| - Tokenizers 0.22.1 |
| |
