---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bart_cause_classifier
  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. -->

# bart_cause_classifier

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2310
- F1: 0.8139
- Accuracy: 0.4022

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log        | 1.0   | 62   | 0.2882          | 0.7066 | 0.0444   |
| No log        | 2.0   | 124  | 0.2538          | 0.7585 | 0.1643   |
| No log        | 3.0   | 186  | 0.2338          | 0.7840 | 0.2581   |
| No log        | 4.0   | 248  | 0.2202          | 0.8000 | 0.2954   |
| No log        | 5.0   | 310  | 0.2218          | 0.7997 | 0.3306   |
| No log        | 6.0   | 372  | 0.2146          | 0.8093 | 0.3488   |
| No log        | 7.0   | 434  | 0.2157          | 0.8073 | 0.3498   |
| No log        | 8.0   | 496  | 0.2146          | 0.8089 | 0.3629   |
| 0.227         | 9.0   | 558  | 0.2223          | 0.8086 | 0.3972   |
| 0.227         | 10.0  | 620  | 0.2215          | 0.8088 | 0.3639   |
| 0.227         | 11.0  | 682  | 0.2191          | 0.8160 | 0.3982   |
| 0.227         | 12.0  | 744  | 0.2227          | 0.8119 | 0.3821   |
| 0.227         | 13.0  | 806  | 0.2293          | 0.8070 | 0.3790   |
| 0.227         | 14.0  | 868  | 0.2310          | 0.8089 | 0.3780   |
| 0.227         | 15.0  | 930  | 0.2267          | 0.8125 | 0.3982   |
| 0.227         | 16.0  | 992  | 0.2275          | 0.8116 | 0.3851   |
| 0.1282        | 17.0  | 1054 | 0.2289          | 0.8150 | 0.4052   |
| 0.1282        | 18.0  | 1116 | 0.2320          | 0.8106 | 0.3891   |
| 0.1282        | 19.0  | 1178 | 0.2321          | 0.8114 | 0.3942   |
| 0.1282        | 20.0  | 1240 | 0.2310          | 0.8139 | 0.4022   |


### Framework versions

- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1