---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
base_model: nlpaueb/legal-bert-base-uncased
metrics:
- accuracy
model-index:
- name: legal-bert-base-uncased-5-epochs-fine-tune
  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-bert-base-uncased-5-epochs-fine-tune

This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8581
- Accuracy: 1
- F1 Micro: 1
- F1 Macro: 1
- F1 Weighted: 1

## 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: 5e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro | F1 Weighted |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:-----------:|
| 1.348         | 1.0   | 643  | 0.6934          | 1        | 1        | 1        | 1           |
| 0.6471        | 2.0   | 1286 | 0.6506          | 1        | 1        | 1        | 1           |
| 0.4944        | 3.0   | 1929 | 0.7049          | 1        | 1        | 1        | 1           |
| 0.2113        | 4.0   | 2572 | 0.8336          | 1        | 1        | 1        | 1           |
| 0.1352        | 5.0   | 3215 | 0.8581          | 1        | 1        | 1        | 1           |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2