---
license: mit
base_model: Narrativa/legal-longformer-base-4096-spanish
tags:
- generated_from_trainer
model-index:
- name: bert-leg-al-corpus
  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. -->

# bert-leg-al-corpus

This model is a fine-tuned version of [Narrativa/legal-longformer-base-4096-spanish](https://huggingface.co/Narrativa/legal-longformer-base-4096-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2219

## 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: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 120  | 2.7135          |
| No log        | 2.0   | 240  | 2.5848          |
| No log        | 3.0   | 360  | 2.5374          |
| No log        | 4.0   | 480  | 2.4788          |
| 2.7765        | 5.0   | 600  | 2.4294          |
| 2.7765        | 6.0   | 720  | 2.3854          |
| 2.7765        | 7.0   | 840  | 2.3608          |
| 2.7765        | 8.0   | 960  | 2.3505          |
| 2.4729        | 9.0   | 1080 | 2.3189          |
| 2.4729        | 10.0  | 1200 | 2.3048          |
| 2.4729        | 11.0  | 1320 | 2.2949          |
| 2.4729        | 12.0  | 1440 | 2.2657          |
| 2.3559        | 13.0  | 1560 | 2.2393          |
| 2.3559        | 14.0  | 1680 | 2.2309          |
| 2.3559        | 15.0  | 1800 | 2.2160          |
| 2.3559        | 16.0  | 1920 | 2.2143          |
| 2.2843        | 17.0  | 2040 | 2.2282          |
| 2.2843        | 18.0  | 2160 | 2.2146          |
| 2.2843        | 19.0  | 2280 | 2.1929          |
| 2.2843        | 20.0  | 2400 | 2.1950          |


### Framework versions

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