[!WARNING] THIS PROJECT HAS BEEN ARCHIVED. This project and its associated code on GitHub are no longer under active development or maintained. Model Card for deberta v3 base prompt injection There is a newer version of the model protectai/deberta v3 base prompt injection v2. This model is a fine tuned version of microsoft/deberta v3 base on multiple combined datasets of prompt injections and normal prompts. It aims to identify prompt injections, classifying inputs into two categories: 0 for no injection and 1 for injection detected. It achieves the following results on the evaluation set: Loss: 0.0010 Accuracy: 0.9999 Recall: 0.9997 Precision: 0.9998 F1: 0.9998 Model details Fine tuned by: Laiyer.ai Model type: deberta v3 Language(s) (NLP): English License: Apache license 2.0 Finetuned from model: microsoft/deberta v3 base Intended Uses & Limitations It aims to identify prompt injections, classifying inputs into two categories: 0 for no injection and 1 for injection detected. The model's performance is dependent on the nature and quality of the training data. It might not perform well on text styles or topics not represented in the training set. How to Get Started with the Model T…
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