training
This model is a fine-tuned version of microsoft/biogpt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1539
- Precision: 0.4323
- Recall: 0.5273
- F1: 0.4751
- Accuracy: 0.9559
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 |
---|---|---|---|---|---|---|---|
0.3212 | 1.0 | 679 | 0.1697 | 0.3102 | 0.4091 | 0.3529 | 0.9460 |
0.1745 | 2.0 | 1358 | 0.1454 | 0.3848 | 0.4905 | 0.4313 | 0.9530 |
0.1012 | 3.0 | 2037 | 0.1539 | 0.4323 | 0.5273 | 0.4751 | 0.9559 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.2.2
- Datasets 2.12.0
- Tokenizers 0.13.2
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