---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: legal_text_summarizer
  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. -->

# legal_text_summarizer

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5451
- Rouge1: 0.1861
- Rouge2: 0.1106
- Rougel: 0.1654
- Rougelsum: 0.17
- Gen Len: 20.0

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 1.6742          | 0.1765 | 0.1017 | 0.1569 | 0.1611    | 20.0    |
| No log        | 2.0   | 248  | 1.5853          | 0.1829 | 0.1059 | 0.1618 | 0.1661    | 20.0    |
| No log        | 3.0   | 372  | 1.5608          | 0.1745 | 0.1041 | 0.156  | 0.1597    | 20.0    |
| No log        | 4.0   | 496  | 1.5451          | 0.1861 | 0.1106 | 0.1654 | 0.17      | 20.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2