---
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-large-legal-act
  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. -->

# xlm-roberta-large-legal-act

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2099

## 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: 1e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4944        | 1.0   | 443  | 0.2680          |
| 0.317         | 2.0   | 886  | 0.3006          |
| 0.494         | 3.0   | 1329 | 0.2791          |
| 0.2472        | 4.0   | 1772 | 0.2096          |
| 0.117         | 5.0   | 2215 | 0.1947          |
| 0.0838        | 6.0   | 2658 | 0.1859          |
| 0.2747        | 7.0   | 3101 | 0.2133          |
| 0.2151        | 8.0   | 3544 | 0.1685          |
| 0.0016        | 9.0   | 3987 | 0.1614          |
| 0.0968        | 10.0  | 4430 | 0.2099          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1