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--- |
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license: cc-by-sa-4.0 |
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base_model: raminass/scotus-v10 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: SCOTUS_AI |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SCOTUS_AI |
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This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7680 |
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- Accuracy: 0.8341 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5767 | 1.0 | 1800 | 0.6222 | 0.8243 | |
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| 0.2965 | 2.0 | 3600 | 0.6352 | 0.8339 | |
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| 0.1832 | 3.0 | 5400 | 0.7201 | 0.8261 | |
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| 0.0991 | 4.0 | 7200 | 0.7398 | 0.8356 | |
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| 0.0616 | 5.0 | 9000 | 0.7680 | 0.8341 | |
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### Justices |
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| Justice | Count | |
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|-----------|-------| |
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| Thomas | 571 | |
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| Scalia | 473 | |
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| Breyer | 443 | |
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| Stevens | 407 | |
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| Ginsburg | 390 | |
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| Kennedy | 326 | |
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| Alito | 286 | |
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| Souter | 230 | |
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| Sotomayor | 226 | |
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| O'Connor | 167 | |
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| Kagan | 145 | |
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| Rehnquist | 144 | |
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| Roberts | 123 | |
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| Gorsuch | 109 | |
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| Kavanaugh | 65 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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