<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Bio_ClinicalBERT_fold_4_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: 1.7349
- F1: 0.8052
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 | 289 | 0.5378 | 0.7818 |
| 0.5561 | 2.0 | 578 | 0.4835 | 0.8002 |
| 0.5561 | 3.0 | 867 | 0.6401 | 0.7978 |
| 0.2473 | 4.0 | 1156 | 0.8665 | 0.7842 |
| 0.2473 | 5.0 | 1445 | 0.9942 | 0.7965 |
| 0.1002 | 6.0 | 1734 | 1.1535 | 0.8015 |
| 0.0428 | 7.0 | 2023 | 1.2619 | 0.8027 |
| 0.0428 | 8.0 | 2312 | 1.4386 | 0.7990 |
| 0.017 | 9.0 | 2601 | 1.4864 | 0.8039 |
| 0.017 | 10.0 | 2890 | 1.4817 | 0.8015 |
| 0.0145 | 11.0 | 3179 | 1.5205 | 0.8052 |
| 0.0145 | 12.0 | 3468 | 1.6825 | 0.7842 |
| 0.0115 | 13.0 | 3757 | 1.6670 | 0.7990 |
| 0.0083 | 14.0 | 4046 | 1.7283 | 0.7904 |
| 0.0083 | 15.0 | 4335 | 1.6552 | 0.8039 |
| 0.0071 | 16.0 | 4624 | 1.6760 | 0.8076 |
| 0.0071 | 17.0 | 4913 | 1.6973 | 0.7891 |
| 0.0109 | 18.0 | 5202 | 1.6050 | 0.8027 |
| 0.0109 | 19.0 | 5491 | 1.6379 | 0.8126 |
| 0.0037 | 20.0 | 5780 | 1.6936 | 0.8039 |
| 0.0013 | 21.0 | 6069 | 1.7187 | 0.8027 |
| 0.0013 | 22.0 | 6358 | 1.7839 | 0.7965 |
| 0.0015 | 23.0 | 6647 | 1.7551 | 0.8015 |
| 0.0015 | 24.0 | 6936 | 1.7312 | 0.8064 |
| 0.001 | 25.0 | 7225 | 1.7349 | 0.8052 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
