Update README.md

README.md

@@ -11,6 +11,8 @@ license: mit
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
+The model is based on [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base), to which a pooling (mean) and normalization layer has been added, and saved on a sentence transformers version.
+
 <!--- Describe your model here -->
 
 ## Usage (Sentence-Transformers)
@@ -38,8 +40,7 @@ print(embeddings)
 
 <!--- Describe how your model was evaluated -->
 
-For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
-
+**In progress**
 
 
 ## Full Model Architecture