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End of training

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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_V15
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+ results: []
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+ ---
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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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+
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+ # SCOTUS_AI_V15
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+
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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: 0.0214
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+ - Accuracy: 0.9954
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.6856 | 1.0 | 2504 | 0.4083 | 0.8876 |
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+ | 0.4313 | 2.0 | 5008 | 0.2375 | 0.9321 |
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+ | 0.2564 | 3.0 | 7512 | 0.1136 | 0.9686 |
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+ | 0.1662 | 4.0 | 10016 | 0.0553 | 0.9863 |
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+ | 0.0966 | 5.0 | 12520 | 0.0432 | 0.9889 |
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+ | 0.0604 | 6.0 | 15024 | 0.0278 | 0.9935 |
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+ | 0.0372 | 7.0 | 17528 | 0.0214 | 0.9954 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2