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SCOTUS_AI_14
raminass/SCOTUS_AI_14
SCOTUS_AI_14 is a text classification model from raminass. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Jan 3, 2024
- Updated
- Jan 4, 2024
- SHA
- 68a27194
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Model card
From the Hugging Face model README
<!-- 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_14
This model is a fine-tuned version of 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
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Jan 3, 2024
- Updated
- Jan 4, 2024