---
library_name: transformers
base_model: medicalai/ClinicalBERT
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: section-classification-v2
  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. -->

# section-classification-v2

This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9439
- Accuracy: 0.7473
- Precision: 0.6549
- Recall: 0.7473
- F1: 0.6918

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 434  | 1.1859          | 0.6909   | 0.6054    | 0.6909 | 0.6422 |
| 1.2827        | 2.0   | 868  | 1.1446          | 0.7258   | 0.6268    | 0.7258 | 0.6721 |
| 1.1164        | 3.0   | 1302 | 1.0256          | 0.75     | 0.6546    | 0.75   | 0.6946 |
| 1.0728        | 4.0   | 1736 | 0.9982          | 0.7473   | 0.6517    | 0.7473 | 0.6921 |
| 1.0206        | 5.0   | 2170 | 0.9582          | 0.7446   | 0.6530    | 0.7446 | 0.6891 |
| 0.9745        | 6.0   | 2604 | 0.9439          | 0.7473   | 0.6549    | 0.7473 | 0.6918 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1