--- license: cc-by-sa-4.0 base_model: raminass/scotus-v10 tags: - generated_from_trainer model-index: - name: SCOTUS_AI_V17_FINAL results: [] --- # SCOTUS_AI_V17_FINAL 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: - eval_loss: 0.0629 - eval_accuracy: 0.9837 - eval_runtime: 159.8848 - eval_samples_per_second: 272.346 - eval_steps_per_second: 17.025 - epoch: 4.0 - step: 10888 ## 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: 7 ### Framework versions - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2