---
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: Legal_act101
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Legal_act101

This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1734

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4319        | 1.0   | 443  | 0.2880          |
| 0.1956        | 2.0   | 886  | 0.2239          |
| 0.4354        | 3.0   | 1329 | 0.2060          |
| 0.5987        | 4.0   | 1772 | 0.1693          |
| 0.1867        | 5.0   | 2215 | 0.1674          |
| 0.0974        | 6.0   | 2658 | 0.1748          |
| 0.263         | 7.0   | 3101 | 0.1616          |
| 0.1949        | 8.0   | 3544 | 0.1512          |
| 0.0053        | 9.0   | 3987 | 0.1841          |
| 0.1426        | 10.0  | 4430 | 0.1734          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1