Update README.md

README.md

@@ -9,6 +9,7 @@ metrics:
 tags:
 - passage-retrieval
 library_name: sentence-transformers
+base_model: nreimers/mMiniLMv2-L12-H384-distilled-from-XLMR-Large
 model-index:
 - name: biencoder-mMiniLMv2-L12-mmarcoFR
   results:
@@ -43,7 +44,7 @@ model-index:
 
 # biencoder-mMiniLMv2-L12-mmarcoFR
 
-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.
+This is a dense single-vector bi-encoder model. It maps sentences and paragraphs to a 384 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