finetuned-biogpt
This model is a fine-tuned version of microsoft/biogpt on the ncbi_disease dataset. It achieves the following results on the evaluation set:
- Loss: 0.2503
- Precision: 0.0762
- Recall: 0.0583
- F1: 0.0661
- Accuracy: 0.9220
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 340 | 0.2644 | 0.0426 | 0.0281 | 0.0339 | 0.9183 |
| 0.3055 | 2.0 | 680 | 0.2503 | 0.0762 | 0.0583 | 0.0661 | 0.9220 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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Dataset used to train Moxieeixom/finetuned-biogpt
Evaluation results
- Precision on ncbi_diseasetest set self-reported0.076
- Recall on ncbi_diseasetest set self-reported0.058
- F1 on ncbi_diseasetest set self-reported0.066
- Accuracy on ncbi_diseasetest set self-reported0.922