Update README.md

README.md

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 # SetFit Sentiment Classifier
 
-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 variant of the [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 -->
+Uses Siamese and triplet network structures to generate semantically meaningful sentence embeddings
+
 
 ## Usage (Sentence-Transformers)
 
@@ -76,6 +78,7 @@ print(sentence_embeddings)
 ## Evaluation Results
 
 <!--- Describe how your model was evaluated -->
+Loss class = CosineSimilarityLoss