Update README.md

README.md

@@ -80,7 +80,7 @@ passage_embeddings = F.normalize(passage_embeddings, p=2, dim=1)
 
 scores = (query_embeddings @ passage_embeddings.T) * 100
 print(scores.tolist())
-# [[52.76957702636719, 26.118698120117188]]
+# [[69.26929473876953, 58.41606903076172]]
 ```
 
 #### Sentence Transformers
@@ -108,7 +108,7 @@ passage_embeddings = model.encode(passages)
 # Compute the similarities between the queries and passages
 similarities = model.similarity(query_embeddings, passage_embeddings)
 print(similarities)
-# tensor([[0.5277, 0.2612]])
+# tensor([[0.6927, 0.5842]])
 ```
 
 ### Citation