namdp-ptit
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ViDense

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feature-extraction

text-embeddings-inference

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namdp-ptit commited on Jul 14

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@@ -46,7 +46,7 @@ Model Configuration and Methods:
 * **Rank Encoder**: Introduces a Rank Encoder to account for transitive positive relationships. By considering positives
   of positives as relevant to the anchor, it reranks the corpus using the Spearman metric and integrates Spearman
   weights into the loss calculation for improved ranking.
-* **Loss Function**: Cross Entropy Loss
 ## Usage

 * **Rank Encoder**: Introduces a Rank Encoder to account for transitive positive relationships. By considering positives
   of positives as relevant to the anchor, it reranks the corpus using the Spearman metric and integrates Spearman
   weights into the loss calculation for improved ranking.
+* **Loss Function**: Cross Entropy Loss (Sim Scores) + MSE Loss (Spearman Scores)
 ## Usage