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Bio_ClinicalBERT_2e5_top10_10testset
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: 0.6922
- Precision Macro: 0.1297
- Recall Macro: 0.1495
- F1 Macro: 0.1372
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
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Recall Macro | F1 Macro |
|---|---|---|---|---|---|---|
| 1.5907 | 1.0 | 542 | 0.6799 | 0.5450 | 0.0649 | 0.0531 |
| 0.6741 | 2.0 | 1084 | 0.5878 | 0.4917 | 0.1007 | 0.0935 |
| 0.598 | 3.0 | 1626 | 0.5676 | 0.3949 | 0.0967 | 0.0897 |
| 0.5685 | 4.0 | 2168 | 0.5619 | 0.3090 | 0.1125 | 0.1084 |
| 0.5634 | 5.0 | 2710 | 0.5766 | 0.2898 | 0.1268 | 0.0995 |
| 0.5455 | 6.0 | 3252 | 0.5539 | 0.2234 | 0.1187 | 0.1044 |
| 0.5108 | 7.0 | 3794 | 0.5650 | 0.2255 | 0.1338 | 0.1270 |
| 0.4857 | 8.0 | 4336 | 0.5787 | 0.2267 | 0.1308 | 0.1197 |
| 0.4533 | 9.0 | 4878 | 0.6186 | 0.1869 | 0.1311 | 0.1326 |
| 0.4143 | 10.0 | 5420 | 0.6309 | 0.1436 | 0.1641 | 0.1493 |
| 0.3789 | 11.0 | 5962 | 0.6309 | 0.1478 | 0.1640 | 0.1456 |
| 0.3209 | 12.0 | 6504 | 0.6792 | 0.1369 | 0.1635 | 0.1465 |
| 0.2975 | 13.0 | 7046 | 0.6922 | 0.1297 | 0.1495 | 0.1372 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.6.dev0
- Tokenizers 0.14.0
