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stbl_clinical_bert_ft_rs1
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: 0.0789
- F1: 0.9267
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2742 | 1.0 | 101 | 0.0959 | 0.8413 |
| 0.0698 | 2.0 | 202 | 0.0635 | 0.8923 |
| 0.0335 | 3.0 | 303 | 0.0630 | 0.9013 |
| 0.0171 | 4.0 | 404 | 0.0635 | 0.9133 |
| 0.0096 | 5.0 | 505 | 0.0671 | 0.9171 |
| 0.0058 | 6.0 | 606 | 0.0701 | 0.9210 |
| 0.0037 | 7.0 | 707 | 0.0762 | 0.9231 |
| 0.0034 | 8.0 | 808 | 0.0771 | 0.9168 |
| 0.0021 | 9.0 | 909 | 0.0751 | 0.9268 |
| 0.0013 | 10.0 | 1010 | 0.0770 | 0.9277 |
| 0.0011 | 11.0 | 1111 | 0.0784 | 0.9259 |
| 0.0008 | 12.0 | 1212 | 0.0789 | 0.9267 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
