---
license: cc-by-sa-4.0
base_model: raminass/scotus-v10
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SCOTUS_AI_V14
  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_V14

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: 0.0203
- Accuracy: 0.9953

## 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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7013        | 1.0   | 2472  | 0.4032          | 0.8859   |
| 0.4055        | 2.0   | 4944  | 0.2472          | 0.9273   |
| 0.241         | 3.0   | 7416  | 0.1201          | 0.9651   |
| 0.158         | 4.0   | 9888  | 0.0895          | 0.9735   |
| 0.0988        | 5.0   | 12360 | 0.0420          | 0.9888   |
| 0.0666        | 6.0   | 14832 | 0.0234          | 0.9943   |
| 0.0506        | 7.0   | 17304 | 0.0203          | 0.9953   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2