| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-cased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: EXP_4_MULTI_DISEASE_ANATOMY_FULL-bert-base-cased |
| 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. --> |
|
|
| # EXP_4_MULTI_DISEASE_ANATOMY_FULL-bert-base-cased |
| |
| This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1236 |
| - Precision: 0.6572 |
| - Recall: 0.6486 |
| - F1: 0.6529 |
| - Accuracy: 0.9650 |
| |
| ## 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: 16 |
| - eval_batch_size: 16 |
| - 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: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.1565 | 1.0 | 220 | 0.1484 | 0.6143 | 0.5855 | 0.5996 | 0.9604 | |
| | 0.122 | 2.0 | 440 | 0.1263 | 0.6638 | 0.6155 | 0.6387 | 0.9644 | |
| | 0.11 | 3.0 | 660 | 0.1236 | 0.6572 | 0.6486 | 0.6529 | 0.9650 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.2 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.1 |
|
|
