---
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