Update README.md

README.md

@@ -4,14 +4,15 @@ tags:
 - sentence-transformers
 - feature-extraction
 - sentence-similarity
-
+language:
+- en
 ---
 
 # DunnBC22/sentence-t5-base-FT-Quora_Sentence_Similarity-LG
 
 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 -->
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Semantic_Similarity/Semantic%20Similarity-base.ipynb
 
 ## Usage (Sentence-Transformers)
 
@@ -36,8 +37,6 @@ print(embeddings)
 
 ## Evaluation Results
 
-<!--- Describe how your model was evaluated -->
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 For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=DunnBC22/sentence-t5-base-FT-Quora_Sentence_Similarity-LG)