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biobert-base-cased-v1.2-finetuned-PET
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1756
- Accuracy: 0.9393
- F1: 0.9244
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3531 | 1.0 | 16 | 0.1964 | 0.9252 | 0.8995 |
| 0.3187 | 2.0 | 32 | 0.1756 | 0.9393 | 0.9244 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.14.0.dev20221117
- Datasets 2.5.2
- Tokenizers 0.13.1
