---
license: cc-by-sa-4.0
base_model: nlpaueb/legal-bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: topic-legal-bert-base-uncased-supreme-court-16batch_3epoch_2e5lr_01wd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# topic-legal-bert-base-uncased-supreme-court-16batch_3epoch_2e5lr_01wd

This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7456
- Accuracy: 0.7784

## 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: 16
- seed: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8618        | 1.0   | 1319 | 0.7770          | 0.7625   |
| 0.5796        | 2.0   | 2638 | 0.7247          | 0.7821   |
| 0.4043        | 3.0   | 3957 | 0.7456          | 0.7784   |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1