Update README.md

README.md

@@ -19,10 +19,10 @@ library_name: sentence-transformers
 # QulBERT
 
 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 model originates from the [Camel-Bert_Classical Arabic](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca) model. It was then trained on the Jawami' Kalim dataset, 
 specifically a dataset of 440,000 matns and their corresponding taraf labels. 
-Taraf labels indicate two hadith are about the same report, and as such, are more semantically similar.
+Taraf labels indicate two hadith are about the same report, and as such, are more semantically similar. -->
 
 
 ## Usage (Sentence-Transformers)
@@ -86,7 +86,7 @@ print(sentence_embeddings)
 
 ## Evaluation Results
 
-The dataset was split into 75% training,  15% eval, 10% test.
+<!-- The dataset was split into 75% training,  15% eval, 10% test.
 
 
 
@@ -154,7 +154,7 @@ Triplet Evaluation:
 | 6     | 20000 | 0.9673           | 0.967              | 0.9665             |
 | 6     | -1    | 0.9666           | 0.9658             | 0.9666             |
 
-
+ -->
 
 ## Training
 The model was trained with the parameters: