library_name: transformers license: apache-2.0 base_model: protectai/deberta-v3-base-prompt-injection-v2 tags:

• generated_from_trainer metrics:
• accuracy
• f1 model-index:
• name: jailbreak_detector_v2 results: []

jailbreak_detector_v2

This model is a fine-tuned version of protectai/deberta-v3-base-prompt-injection-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3056
• Accuracy: 0.8642
• F1: 0.8523

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: 5e-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: 2

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1