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# SCOTUS_AI_14

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: 0.7616
- Accuracy: 0.8428

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5382        | 1.0   | 1762 | 0.5732          | 0.8361   |
| 0.3093        | 2.0   | 3524 | 0.6043          | 0.8392   |
| 0.1676        | 3.0   | 5286 | 0.6812          | 0.8383   |
| 0.1001        | 4.0   | 7048 | 0.7386          | 0.8418   |
| 0.0639        | 5.0   | 8810 | 0.7616          | 0.8428   |


### 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   |


### Framework versions

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

{"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "raminass/scotus-v10", "model-index": [{"name": "SCOTUS_AI_14", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:raminass/scotus-v10 license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible has_space region:us