| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: clinical_bert_ft |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # clinical_bert_ft |
| |
|
| | This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2439 |
| | - F1: 0.8252 |
| |
|
| | ## 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: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.5938 | 1.0 | 95 | 0.2480 | 0.7084 | |
| | | 0.1567 | 2.0 | 190 | 0.2035 | 0.7855 | |
| | | 0.083 | 3.0 | 285 | 0.2002 | 0.8026 | |
| | | 0.0482 | 4.0 | 380 | 0.2046 | 0.8118 | |
| | | 0.0269 | 5.0 | 475 | 0.2230 | 0.8143 | |
| | | 0.0185 | 6.0 | 570 | 0.2178 | 0.8175 | |
| | | 0.0123 | 7.0 | 665 | 0.2269 | 0.8253 | |
| | | 0.0093 | 8.0 | 760 | 0.2421 | 0.8227 | |
| | | 0.0072 | 9.0 | 855 | 0.2446 | 0.8267 | |
| | | 0.006 | 10.0 | 950 | 0.2439 | 0.8252 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.20.1 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.3.2 |
| | - Tokenizers 0.12.1 |
| |
|
