Update README.md

README.md

@@ -5,14 +5,20 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
-
+datasets:
+- samchain/econo-pairs
+language:
+- en
+metrics:
+- pearsonr
+library_name: sentence-transformers
 ---
 
 # econosentence
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
-<!--- Describe your model here -->
+Econosentence can be used fro various tasks in NLP applied to economics. The main one is to use embeddings for topic modeling purpose.
 
 ## Usage (Sentence-Transformers)
 
@@ -75,7 +81,7 @@ print(sentence_embeddings)
 
 ## Evaluation Results
 
-<!--- Describe how your model was evaluated -->
+The Pearson correlation for the train test is : 0.83
 
 For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=econosentence)