--- license: cc-by-sa-4.0 base_model: nlpaueb/legal-bert-base-uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: partisan-legal-bert-base-uncased-supreme-court-32batch_3epoch_3e5lr_01wd results: [] --- # partisan-legal-bert-base-uncased-supreme-court-32batch_3epoch_3e5lr_01wd This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.5928 - Accuracy: 0.6670 ## 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: 3e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 7 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.6562 | 1.0 | 660 | 0.5537 | 0.6585 | | 0.6048 | 2.0 | 1320 | 0.5586 | 0.6615 | | 0.5644 | 3.0 | 1980 | 0.5928 | 0.6670 | ### Framework versions - Transformers 4.35.1 - Pytorch 2.1.0+cu121 - Datasets 2.14.6 - Tokenizers 0.14.1