---
base_model: mrm8488/bart-legal-base-es
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: summary_naty_model
  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. -->

# summary_naty_model

This model is a fine-tuned version of [mrm8488/bart-legal-base-es](https://huggingface.co/mrm8488/bart-legal-base-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7235
- Rouge1: 0.2139
- Rouge2: 0.1064
- Rougel: 0.1798
- Rougelsum: 0.1802
- 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: 20
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 26   | 3.1779          | 0.2079 | 0.0817 | 0.1695 | 0.1697    | 20.0    |
| No log        | 2.0   | 52   | 3.0521          | 0.2127 | 0.0875 | 0.1722 | 0.1725    | 20.0    |
| No log        | 3.0   | 78   | 2.9548          | 0.2176 | 0.094  | 0.1742 | 0.1746    | 20.0    |
| No log        | 4.0   | 104  | 2.8885          | 0.2191 | 0.0987 | 0.1761 | 0.1768    | 20.0    |
| No log        | 5.0   | 130  | 2.8342          | 0.2176 | 0.1021 | 0.1767 | 0.177     | 20.0    |
| No log        | 6.0   | 156  | 2.8070          | 0.2175 | 0.1042 | 0.1773 | 0.1776    | 20.0    |
| No log        | 7.0   | 182  | 2.7686          | 0.2157 | 0.1044 | 0.1776 | 0.1781    | 20.0    |
| No log        | 8.0   | 208  | 2.7491          | 0.2154 | 0.1038 | 0.1779 | 0.178     | 20.0    |
| No log        | 9.0   | 234  | 2.7387          | 0.2133 | 0.1059 | 0.1771 | 0.1778    | 20.0    |
| No log        | 10.0  | 260  | 2.7247          | 0.2131 | 0.1039 | 0.1781 | 0.1783    | 20.0    |
| No log        | 11.0  | 286  | 2.7235          | 0.2139 | 0.1064 | 0.1798 | 0.1802    | 20.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0