---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: stbl_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. -->

# stbl_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: 0.1789
- F1: 0.8523

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2786        | 1.0   | 95   | 0.1083          | 0.8090 |
| 0.0654        | 2.0   | 190  | 0.1005          | 0.8475 |
| 0.0299        | 3.0   | 285  | 0.1207          | 0.8481 |
| 0.0146        | 4.0   | 380  | 0.1432          | 0.8454 |
| 0.0088        | 5.0   | 475  | 0.1362          | 0.8475 |
| 0.0056        | 6.0   | 570  | 0.1527          | 0.8518 |
| 0.0037        | 7.0   | 665  | 0.1617          | 0.8519 |
| 0.0022        | 8.0   | 760  | 0.1726          | 0.8495 |
| 0.0018        | 9.0   | 855  | 0.1743          | 0.8527 |
| 0.0014        | 10.0  | 950  | 0.1750          | 0.8463 |
| 0.0014        | 11.0  | 1045 | 0.1775          | 0.8522 |
| 0.001         | 12.0  | 1140 | 0.1789          | 0.8523 |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1