---
base_model: facebook/bart-large-cnn
library_name: peft
license: mit
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: legal_bart_large_cnn
  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_bart_large_cnn

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2520
- Rouge1: 0.489
- Rouge2: 0.2433
- Rougel: 0.3262
- Rougelsum: 0.3267
- Gen Len: 137.2973

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
| No log        | 1.0   | 352  | 2.3127          | 0.4831 | 0.2372 | 0.3195 | 0.3198    | 136.5541 |
| 2.4898        | 2.0   | 704  | 2.2627          | 0.4883 | 0.2432 | 0.3257 | 0.326     | 136.9211 |
| 2.3583        | 3.0   | 1056 | 2.2520          | 0.489  | 0.2433 | 0.3262 | 0.3267    | 137.2973 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1