---
license: cc-by-sa-4.0
base_model: raminass/scotus-v10
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SCOTUS_AI_V15_CURCUIT_V2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SCOTUS_AI_V15_CURCUIT_V2

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: 1.2266
- Accuracy: 0.7710

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.7501        | 1.0   | 2070  | 0.7583          | 0.7831   |
| 0.4324        | 2.0   | 4140  | 0.8124          | 0.7710   |
| 0.2489        | 3.0   | 6210  | 0.9473          | 0.7559   |
| 0.1791        | 4.0   | 8280  | 0.9953          | 0.7720   |
| 0.0968        | 5.0   | 10350 | 1.1184          | 0.7750   |
| 0.0626        | 6.0   | 12420 | 1.2091          | 0.7703   |
| 0.0431        | 7.0   | 14490 | 1.2266          | 0.7710   |


### Framework versions

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