---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: cause-bert-biocause
  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. -->

# cause-bert-biocause

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4364
- Precision: 0.1647
- Recall: 0.3459
- F1: 0.2231
- Accuracy: 0.8160
- Cause P: 0.1647
- Cause R: 0.3459
- Cause F1: 0.2231

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy | Cause P | Cause R | Cause F1 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------:|:-------:|:--------:|
| 0.6498        | 0.25  | 20   | 0.6248          | 0.0544    | 0.1698 | 0.0824 | 0.7705   | 0.0544  | 0.1698  | 0.0824   |
| 0.6498        | 0.5   | 40   | 0.5229          | 0.0532    | 0.1572 | 0.0795 | 0.6600   | 0.0532  | 0.1572  | 0.0795   |
| 0.6498        | 0.75  | 60   | 0.4613          | 0.1190    | 0.2327 | 0.1574 | 0.8274   | 0.1190  | 0.2327  | 0.1574   |
| 0.6498        | 1.0   | 80   | 0.4376          | 0.1460    | 0.2956 | 0.1954 | 0.8145   | 0.1460  | 0.2956  | 0.1954   |
| 0.6498        | 1.25  | 100  | 0.4660          | 0.1829    | 0.2956 | 0.2260 | 0.8312   | 0.1829  | 0.2956  | 0.2260   |
| 0.6498        | 1.5   | 120  | 0.4523          | 0.1902    | 0.3899 | 0.2557 | 0.8148   | 0.1902  | 0.3899  | 0.2557   |
| 0.6498        | 1.75  | 140  | 0.4414          | 0.1756    | 0.3711 | 0.2384 | 0.8138   | 0.1756  | 0.3711  | 0.2384   |
| 0.6498        | 2.0   | 160  | 0.4364          | 0.1647    | 0.3459 | 0.2231 | 0.8160   | 0.1647  | 0.3459  | 0.2231   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.3.1.post100
- Datasets 2.20.0
- Tokenizers 0.15.1