clinical-finetuned-data2
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: 0.4949
- F1: 0.7800
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 | F1 |
|---|---|---|---|---|
| 0.66 | 1.0 | 50 | 0.6269 | 0.6659 |
| 0.5476 | 2.0 | 100 | 0.5311 | 0.7615 |
| 0.3766 | 3.0 | 150 | 0.4457 | 0.7970 |
| 0.2785 | 4.0 | 200 | 0.5251 | 0.7615 |
| 0.2274 | 5.0 | 250 | 0.4949 | 0.7800 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1