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Bio_ClinicalBERT_fold_9_ternary_v1
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0189
- F1: 0.7905
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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 292 | 0.5758 | 0.7571 |
| 0.5482 | 2.0 | 584 | 0.6282 | 0.7609 |
| 0.5482 | 3.0 | 876 | 0.6823 | 0.7841 |
| 0.2346 | 4.0 | 1168 | 0.9898 | 0.7776 |
| 0.2346 | 5.0 | 1460 | 1.1397 | 0.7866 |
| 0.1001 | 6.0 | 1752 | 1.3832 | 0.7751 |
| 0.0447 | 7.0 | 2044 | 1.6002 | 0.7674 |
| 0.0447 | 8.0 | 2336 | 1.7265 | 0.7584 |
| 0.0171 | 9.0 | 2628 | 1.6650 | 0.7699 |
| 0.0171 | 10.0 | 2920 | 1.7322 | 0.7661 |
| 0.0156 | 11.0 | 3212 | 1.8071 | 0.7789 |
| 0.012 | 12.0 | 3504 | 1.8322 | 0.7841 |
| 0.012 | 13.0 | 3796 | 1.8948 | 0.7763 |
| 0.01 | 14.0 | 4088 | 1.7667 | 0.7918 |
| 0.01 | 15.0 | 4380 | 1.8538 | 0.7879 |
| 0.0063 | 16.0 | 4672 | 1.9763 | 0.7776 |
| 0.0063 | 17.0 | 4964 | 1.9970 | 0.7841 |
| 0.0028 | 18.0 | 5256 | 1.9366 | 0.7931 |
| 0.0003 | 19.0 | 5548 | 1.9709 | 0.7892 |
| 0.0003 | 20.0 | 5840 | 1.9460 | 0.7879 |
| 0.0044 | 21.0 | 6132 | 2.0280 | 0.7866 |
| 0.0044 | 22.0 | 6424 | 1.9423 | 0.7918 |
| 0.0013 | 23.0 | 6716 | 1.9618 | 0.7918 |
| 0.004 | 24.0 | 7008 | 2.0241 | 0.7905 |
| 0.004 | 25.0 | 7300 | 2.0189 | 0.7905 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
