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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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