Update README.md

README.md

@@ -10,11 +10,42 @@ tags:
 - feature-extraction
 - sentence-similarity
 library_name: sentence-transformers
+model-index:
+- name: biencoder-camembert-base-mmarcoFR
+  results:
+    - task:
+        type: sentence-similarity
+        name: Information Retrieval
+      dataset:
+        type: unicamp-dl/mmarco
+        name: mMARCO
+        config: french
+        split: dev
+        revision: None
+      metrics:
+        - type: recall_at_500
+          name: Recall@500
+          value: 89.13
+        - type: recall_at_100
+          name: Recall@100
+          value: 77.82
+        - type: recall_at_10
+          name: Recall@10
+          value: 51.46
+        - type: map_at_10
+          name: MAP@10
+          value: 27.93
+        - type: ndcg_at_10
+          name: nDCG@10
+          value: 33.72
+        - type: mrr_at_10
+          name: MRR@10
+          value: 28.53
 ---
 
 # biencoder-camembert-base-mmarcoFR
 
-This is a dense single-vector bi-encoder model. It maps sentences & paragraphs to a 768 dimensional dense vector space and should be used for semantic search. The model was trained on the **French** portion of the [mMARCO](https://huggingface.co/datasets/unicamp-dl/mmarco) retrieval dataset.
+This is a dense single-vector bi-encoder model. It maps sentences and paragraphs to a 768 dimensional dense vector space and should be used for semantic search. The model was trained on the **French** portion of the [mMARCO](https://huggingface.co/datasets/unicamp-dl/mmarco) retrieval dataset.
 
 ## Usage