---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: stbl_clinical_bert_ft_rs6
  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_rs6

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: 0.0876
- F1: 0.9177

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2778        | 1.0   | 101  | 0.0871          | 0.8482 |
| 0.066         | 2.0   | 202  | 0.0700          | 0.8892 |
| 0.031         | 3.0   | 303  | 0.0657          | 0.9053 |
| 0.0152        | 4.0   | 404  | 0.0716          | 0.9057 |
| 0.0099        | 5.0   | 505  | 0.0717          | 0.9105 |
| 0.0049        | 6.0   | 606  | 0.0807          | 0.9145 |
| 0.0042        | 7.0   | 707  | 0.0796          | 0.9140 |
| 0.0028        | 8.0   | 808  | 0.0833          | 0.9140 |
| 0.002         | 9.0   | 909  | 0.0836          | 0.9141 |
| 0.0013        | 10.0  | 1010 | 0.0866          | 0.9177 |
| 0.0011        | 11.0  | 1111 | 0.0867          | 0.9178 |
| 0.001         | 12.0  | 1212 | 0.0876          | 0.9177 |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1