---
license: cc-by-sa-4.0
base_model: raminass/scotus-v10
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SCOTUS_AI
  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. -->

# SCOTUS_AI

This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7680
- Accuracy: 0.8341

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5767        | 1.0   | 1800 | 0.6222          | 0.8243   |
| 0.2965        | 2.0   | 3600 | 0.6352          | 0.8339   |
| 0.1832        | 3.0   | 5400 | 0.7201          | 0.8261   |
| 0.0991        | 4.0   | 7200 | 0.7398          | 0.8356   |
| 0.0616        | 5.0   | 9000 | 0.7680          | 0.8341   |

### Justices

| Justice   | Count |
|-----------|-------|
| Thomas    | 571   |
| Scalia    | 473   |
| Breyer    | 443   |
| Stevens   | 407   |
| Ginsburg  | 390   |
| Kennedy   | 326   |
| Alito     | 286   |
| Souter    | 230   |
| Sotomayor | 226   |
| O'Connor  | 167   |
| Kagan     | 145   |
| Rehnquist | 144   |
| Roberts   | 123   |
| Gorsuch   | 109   |
| Kavanaugh | 65    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0