Update README.md

README.md

@@ -10,7 +10,7 @@ tags:
 
 # airnicco8/xlm-roberta-en-it-de
 
-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.
+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. It is a student XLMRoBERTa model trained in order to have multilingual sentence embeddings for English, German and Italian. It can be fine-tuned for downstream tasks, such as: semantic similarity (example provided here), NLI and Text Classification.
 
 <!--- Describe your model here -->