---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: legal-summ
  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-summ

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7647
- Rouge1: 0.1649
- Rouge2: 0.0753
- Rougel: 0.119
- Rougelsum: 0.1189
- Gen Len: 62.0

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:-------:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.2044        | 1.0   | 1375 | 62.0    | 1.9564          | 0.1603 | 0.0682 | 0.1144 | 0.1145    |
| 2.0082        | 2.0   | 2750 | 62.0    | 1.8184          | 0.164  | 0.0733 | 0.1182 | 0.1182    |
| 1.8914        | 3.0   | 4125 | 1.7647  | 0.1649          | 0.0753 | 0.119  | 0.1189 | 62.0      |


### Framework versions

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