vectara
/

hallucination_evaluation_model

Text Classification

microsoft/deberta-v3-base

Inference Endpoints

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simonhughes22 commited on Nov 3, 2023

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@@ -13,7 +13,7 @@ metrics:
 - accuracy
 - auc
 - balanced accuracy
-pipeline_tag: sentence-similarity
 ---
 # Cross-Encoder for Hallucination Detection
 This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.

 - accuracy
 - auc
 - balanced accuracy
+pipeline_tag: text-classification
 ---
 # Cross-Encoder for Hallucination Detection
 This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.