Add new SentenceTransformer model

README.md

@@ -88,13 +88,13 @@ model-index:
       value: 0.5679885764966713
       name: Cosine Recall@1
     - type: cosine_ndcg@10
-      value: 0.7729838064849864
+      value: 0.773078207125666
       name: Cosine Ndcg@10
     - type: cosine_mrr@1
       value: 0.5861241448475948
       name: Cosine Mrr@1
     - type: cosine_map@100
-      value: 0.7216697804426214
+      value: 0.7217228927629071
       name: Cosine Map@100
 ---
 
@@ -197,14 +197,14 @@ You can finetune this model on your own dataset.
 * Dataset: `test`
 * Evaluated with [<code>InformationRetrievalEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.InformationRetrievalEvaluator)
 
-| Metric             | Value     |
-|:-------------------|:----------|
-| cosine_accuracy@1  | 0.5861    |
-| cosine_precision@1 | 0.5861    |
-| cosine_recall@1    | 0.568     |
-| **cosine_ndcg@10** | **0.773** |
-| cosine_mrr@1       | 0.5861    |
-| cosine_map@100     | 0.7217    |
+| Metric             | Value      |
+|:-------------------|:-----------|
+| cosine_accuracy@1  | 0.5861     |
+| cosine_precision@1 | 0.5861     |
+| cosine_recall@1    | 0.568      |
+| **cosine_ndcg@10** | **0.7731** |
+| cosine_mrr@1       | 0.5861     |
+| cosine_map@100     | 0.7217     |
 
 <!--
 ## Bias, Risks and Limitations
@@ -263,7 +263,7 @@ You can finetune this model on your own dataset.
 ### Training Logs
 | Epoch | Step | test_cosine_ndcg@10 |
 |:-----:|:----:|:-------------------:|
-| -1    | -1   | 0.7730              |
+| -1    | -1   | 0.7731              |
 
 
 ### Framework Versions