---
license: cc-by-sa-4.0
base_model: frisibeli/legal-bert-finetuned-1985
tags:
- generated_from_trainer
model-index:
- name: legal-bert-finetuned-1985-classifier
  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-finetuned-1985-classifier

This model is a fine-tuned version of [frisibeli/legal-bert-finetuned-1985](https://huggingface.co/frisibeli/legal-bert-finetuned-1985) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3472
- F1 Score: 0.5128
- F1 Combined: 0.604040404040404

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5817        | 0.99  | 82   | 0.5112          | 0.4419   |
| 0.4875        | 2.0   | 165  | 0.5126          | 0.4921   |
| 0.2992        | 2.99  | 247  | 0.6876          | 0.5171   |
| 0.1575        | 4.0   | 330  | 0.9381          | 0.5216   |
| 0.0727        | 4.99  | 412  | 1.1702          | 0.5308   |
| 0.0453        | 6.0   | 495  | 1.2749          | 0.5084   |
| 0.0258        | 6.96  | 574  | 1.3472          | 0.5128   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0