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clinical-finetunedNew
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0423
- Accuracy: 0.84
- Precision: 0.8562
- Recall: 0.9191
- F1: 0.8865
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0707 | 1.0 | 50 | 0.9997 | 0.86 | 0.86 | 0.9485 | 0.9021 |
| 0.0593 | 2.0 | 100 | 0.9293 | 0.845 | 0.8777 | 0.8971 | 0.8873 |
| 0.0273 | 3.0 | 150 | 0.9836 | 0.83 | 0.8643 | 0.8897 | 0.8768 |
| 0.039 | 4.0 | 200 | 1.0028 | 0.85 | 0.8732 | 0.9118 | 0.8921 |
| 0.0121 | 5.0 | 250 | 1.0423 | 0.84 | 0.8562 | 0.9191 | 0.8865 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
