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Bio_ClinicalBERT_fold_2_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: 1.8186
- F1: 0.8038
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 | 294 | 0.5629 | 0.7645 |
| 0.5579 | 2.0 | 588 | 0.5078 | 0.8078 |
| 0.5579 | 3.0 | 882 | 0.6622 | 0.7754 |
| 0.2341 | 4.0 | 1176 | 0.8584 | 0.7943 |
| 0.2341 | 5.0 | 1470 | 1.1953 | 0.7821 |
| 0.0942 | 6.0 | 1764 | 1.3193 | 0.7876 |
| 0.0338 | 7.0 | 2058 | 1.3324 | 0.7903 |
| 0.0338 | 8.0 | 2352 | 1.5043 | 0.7930 |
| 0.0202 | 9.0 | 2646 | 1.5255 | 0.7889 |
| 0.0202 | 10.0 | 2940 | 1.5382 | 0.7916 |
| 0.0119 | 11.0 | 3234 | 1.6377 | 0.7903 |
| 0.0051 | 12.0 | 3528 | 1.7349 | 0.7835 |
| 0.0051 | 13.0 | 3822 | 1.7297 | 0.7835 |
| 0.0082 | 14.0 | 4116 | 1.7817 | 0.7808 |
| 0.0082 | 15.0 | 4410 | 1.7105 | 0.7970 |
| 0.0054 | 16.0 | 4704 | 1.7325 | 0.7984 |
| 0.0054 | 17.0 | 4998 | 1.7919 | 0.7943 |
| 0.0049 | 18.0 | 5292 | 1.8850 | 0.7876 |
| 0.0045 | 19.0 | 5586 | 1.8237 | 0.7916 |
| 0.0045 | 20.0 | 5880 | 1.8760 | 0.7970 |
| 0.0024 | 21.0 | 6174 | 1.8544 | 0.7984 |
| 0.0024 | 22.0 | 6468 | 1.7852 | 0.8011 |
| 0.0005 | 23.0 | 6762 | 1.7795 | 0.8065 |
| 0.0031 | 24.0 | 7056 | 1.7978 | 0.7997 |
| 0.0031 | 25.0 | 7350 | 1.8186 | 0.8038 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
