metadata
library_name: transformers
base_model: yikuan8/Clinical-Longformer
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: finetuned_ClinicalLongformer
results: []
finetuned_ClinicalLongformer
This model is a fine-tuned version of yikuan8/Clinical-Longformer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4698
- F1: 0.8598
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: 1.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6611 | 1.0 | 21 | 0.5689 | 0.8067 |
| 0.5268 | 2.0 | 42 | 0.4698 | 0.8598 |
| 0.4322 | 3.0 | 63 | 0.5205 | 0.8485 |
| 0.3564 | 4.0 | 84 | 0.6989 | 0.7356 |
| 0.322 | 5.0 | 105 | 0.6610 | 0.7872 |
| 0.1975 | 6.0 | 126 | 1.0724 | 0.6824 |
| 0.2025 | 7.0 | 147 | 0.8713 | 0.8283 |
| 0.1605 | 8.0 | 168 | 0.9925 | 0.84 |
| 0.0834 | 9.0 | 189 | 1.2466 | 0.8235 |
| 0.0851 | 10.0 | 210 | 1.4596 | 0.8269 |
| 0.0742 | 11.0 | 231 | 1.4772 | 0.8269 |
| 0.0261 | 12.0 | 252 | 1.4519 | 0.8431 |
| 0.1153 | 13.0 | 273 | 1.4875 | 0.84 |
| 0.0016 | 14.0 | 294 | 1.4731 | 0.84 |
| 0.0036 | 15.0 | 315 | 1.5420 | 0.8431 |
| 0.0012 | 16.0 | 336 | 1.5392 | 0.8367 |
| 0.0092 | 17.0 | 357 | 1.4960 | 0.8515 |
| 0.0012 | 18.0 | 378 | 1.5128 | 0.8515 |
| 0.0007 | 19.0 | 399 | 1.5327 | 0.8515 |
| 0.0012 | 20.0 | 420 | 1.5213 | 0.8515 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0