--- license: mit tags: - generated_from_trainer metrics: - accuracy model-index: - name: deberta-v3-base-injection results: [] --- # deberta-v3-base-injection This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the [promp_injection](https://huggingface.co/datasets/JasperLS/deberta-v3-base-injection-dataset) dataset. It achieves the following results on the evaluation set: - Loss: 0.0673 - Accuracy: 0.9914 ## 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: 8 - eval_batch_size: 8 - 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 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 69 | 0.2353 | 0.9741 | | No log | 2.0 | 138 | 0.0894 | 0.9741 | | No log | 3.0 | 207 | 0.0673 | 0.9914 | ### Framework versions - Transformers 4.29.1 - Pytorch 2.0.0+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3