---
license: mit
tags:
- generated_from_trainer
model-index:
- name: Bio_ClinicalBERT-finetuned-medicalcondition
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bio_ClinicalBERT-finetuned-medicalcondition

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: 0.7201
- F1 Score: 0.8254

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8002        | 1.0   | 1772  | 0.6327          | 0.7759   |
| 0.5933        | 2.0   | 3544  | 0.5906          | 0.7934   |
| 0.5015        | 3.0   | 5316  | 0.5768          | 0.8033   |
| 0.4265        | 4.0   | 7088  | 0.5792          | 0.8099   |
| 0.3698        | 5.0   | 8860  | 0.6030          | 0.8109   |
| 0.3229        | 6.0   | 10632 | 0.6366          | 0.8167   |
| 0.2907        | 7.0   | 12404 | 0.6671          | 0.8198   |
| 0.2649        | 8.0   | 14176 | 0.6850          | 0.8237   |
| 0.2477        | 9.0   | 15948 | 0.7072          | 0.8247   |
| 0.2348        | 10.0  | 17720 | 0.7201          | 0.8254   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2