Model Card for bigberta-v1-pompt-injection
This model is a fine-tuned version of protectai/deberta-v3-base-prompt-injection on multiple datasets of prompt injections.
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:
Test Samples: 2060
- Loss: 0.0361
- Accuracy: 0.9908
- Precision: 0.9861
- Recall: 0.9846
- F1 Score: 0.9854
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Model tree for Polarium/bigberta-v1-pompt-injection
Base model
microsoft/deberta-v3-base