Sentinel, a ModernBERT-based binary classifier trained on public and private prompt datasets, reports 0.987 accuracy and 0.980 F1 on a held-out internal test set and outperforms one baseline on public benchmarks.
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Sentinel: SOTA model to protect against prompt injections
Sentinel, a ModernBERT-based binary classifier trained on public and private prompt datasets, reports 0.987 accuracy and 0.980 F1 on a held-out internal test set and outperforms one baseline on public benchmarks.