biogpt
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0886
- Precision: 0.6800
- Recall: 0.7967
- F1: 0.7338
- Accuracy: 0.9790
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 |
|---|
| 0.1005 | 1.0 | 679 | 0.0703 | 0.5884 | 0.7865 | 0.6732 | 0.9755 |
| 0.0469 | 2.0 | 1358 | 0.0699 | 0.6953 | 0.8030 | 0.7453 | 0.9797 |
| 0.014 | 3.0 | 2037 | 0.0886 | 0.6800 | 0.7967 | 0.7338 | 0.9790 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
