--- license: apache-2.0 tags: - generated_from_trainer datasets: - alex-apostolo/filtered-cuad model-index: - name: legal-roberta-base-filtered-cuad results: [] --- # legal-roberta-base-filtered-cuad This model is a fine-tuned version of [saibo/legal-roberta-base](https://huggingface.co/saibo/legal-roberta-base) on the cuad dataset. It achieves the following results on the evaluation set: - Loss: 0.0428 ## 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: 22 - eval_batch_size: 22 - seed: 42 - 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 | |:-------------:|:-----:|:-----:|:---------------:| | 0.0556 | 1.0 | 12279 | 0.0517 | | 0.0406 | 2.0 | 24558 | 0.0425 | | 0.0332 | 3.0 | 36837 | 0.0428 | ### Framework versions - Transformers 4.21.1 - Pytorch 1.12.0+cu113 - Datasets 2.4.0 - Tokenizers 0.12.1