Update README.md

README.md

@@ -5,14 +5,15 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
-
+datasets:
+- legacy107/qa_wikipedia_sentence_transformer
 ---
 
-# {MODEL_NAME}
+# {multi-qa-mpnet-base-dot-v1-wikipedia-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.
 
-<!--- Describe your model here -->
+This is a fine-tuned version on [legacy107/qa_wikipedia_sentence_transformer](https://huggingface.co/datasets/legacy107/qa_wikipedia_sentence_transformer)
 
 ## Usage (Sentence-Transformers)
 
@@ -72,7 +73,11 @@ print(sentence_embeddings)
 
 ## Evaluation Results
 
-<!--- Describe how your model was evaluated -->
+| accuracy_cosinus | accuracy_manhattan | accuracy_euclidean |
+| -------- | -------- | -------- |
+| 0.986408328513592 | 0.986697513013302 | 0.986408328513592 |
+
+
 
 For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})