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medlid-bySent-BRAT
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0611
- Precision: 0.8091
- Recall: 0.8779
- F1: 0.8421
- Accuracy: 0.9848
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: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 266 | 0.0523 | 0.8304 | 0.7723 | 0.8003 | 0.9823 |
| 0.0441 | 2.0 | 532 | 0.0566 | 0.7630 | 0.8875 | 0.8205 | 0.9830 |
| 0.0441 | 3.0 | 798 | 0.0647 | 0.7660 | 0.9026 | 0.8287 | 0.9832 |
| 0.019 | 4.0 | 1064 | 0.0579 | 0.7975 | 0.8587 | 0.8269 | 0.9845 |
| 0.019 | 5.0 | 1330 | 0.0611 | 0.8091 | 0.8779 | 0.8421 | 0.9848 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.11.0
- Datasets 2.13.1
- Tokenizers 0.13.3
