metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Bio_ClinicalBERT_fold_7_ternary_v1
results: []
Bio_ClinicalBERT_fold_7_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: 1.9612
- F1: 0.7939
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 | 291 | 0.5762 | 0.7593 |
| 0.5434 | 2.0 | 582 | 0.5577 | 0.7939 |
| 0.5434 | 3.0 | 873 | 0.6501 | 0.7951 |
| 0.2198 | 4.0 | 1164 | 0.8661 | 0.7939 |
| 0.2198 | 5.0 | 1455 | 1.1493 | 0.7900 |
| 0.0953 | 6.0 | 1746 | 1.1999 | 0.7977 |
| 0.0375 | 7.0 | 2037 | 1.4623 | 0.7759 |
| 0.0375 | 8.0 | 2328 | 1.4526 | 0.7900 |
| 0.0246 | 9.0 | 2619 | 1.6915 | 0.7734 |
| 0.0246 | 10.0 | 2910 | 1.6097 | 0.7913 |
| 0.0113 | 11.0 | 3201 | 1.7091 | 0.8015 |
| 0.0113 | 12.0 | 3492 | 1.7252 | 0.7990 |
| 0.0103 | 13.0 | 3783 | 1.7305 | 0.8015 |
| 0.0079 | 14.0 | 4074 | 1.7932 | 0.8003 |
| 0.0079 | 15.0 | 4365 | 1.7800 | 0.8028 |
| 0.0071 | 16.0 | 4656 | 1.7000 | 0.7977 |
| 0.0071 | 17.0 | 4947 | 1.8342 | 0.8003 |
| 0.0077 | 18.0 | 5238 | 1.8517 | 0.7990 |
| 0.0044 | 19.0 | 5529 | 1.8633 | 0.7964 |
| 0.0044 | 20.0 | 5820 | 1.8813 | 0.7926 |
| 0.0028 | 21.0 | 6111 | 1.8914 | 0.7964 |
| 0.0028 | 22.0 | 6402 | 1.9412 | 0.7926 |
| 0.0043 | 23.0 | 6693 | 1.9760 | 0.7939 |
| 0.0043 | 24.0 | 6984 | 1.9509 | 0.7977 |
| 0.0002 | 25.0 | 7275 | 1.9612 | 0.7939 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1