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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_V17_EVAL |
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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_V17_EVAL |
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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: 1.3780 |
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- Accuracy: 0.7424 |
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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: 7 |
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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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| 0.7601 | 1.0 | 2170 | 0.9876 | 0.7125 | |
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| 0.424 | 2.0 | 4340 | 0.9416 | 0.7402 | |
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| 0.234 | 3.0 | 6510 | 1.0710 | 0.7331 | |
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| 0.1468 | 4.0 | 8680 | 1.1802 | 0.7372 | |
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| 0.0919 | 5.0 | 10850 | 1.2363 | 0.7443 | |
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| 0.0641 | 6.0 | 13020 | 1.3653 | 0.7396 | |
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| 0.0393 | 7.0 | 15190 | 1.3780 | 0.7424 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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