finetuned-biogpt
This model is a fine-tuned version of microsoft/biogpt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1509
- Precision: 0.4737
- Recall: 0.5604
- F1: 0.5134
- Accuracy: 0.9576
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1638 | 1.0 | 679 | 0.1525 | 0.4135 | 0.4828 | 0.4455 | 0.9532 |
| 0.1385 | 2.0 | 1358 | 0.1427 | 0.4174 | 0.5426 | 0.4718 | 0.9550 |
| 0.0785 | 3.0 | 2037 | 0.1509 | 0.4737 | 0.5604 | 0.5134 | 0.9576 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3