Update README.md

README.md

@@ -25,12 +25,27 @@ model-index:
     metrics:
     - name: Bleu1
       type: bleu
-      value: 1.1475
+      value: 37.62
+    - name: Bleu2
+      type: bleu
+      value: 27.80
+    - name: Bleu3
+      type: bleu
+      value: 20.89
+    - name: Bleu4
+      type: bleu
+      value: 15.87
+    - name: meteor
+      type: meteor
+      value: 33.19
+    - name: rougel
+      type: rouge
+      value: 43.37
       
 
 ---
 # Arabic Question Generation Model
-This Model is fine-tuned[AraT5-Base Model](https://huggingface.co/UBC-NLP/AraT5-base) on Arabic Question-Answering Dataset for **Question Generation** task .It achieves the following results on the evaluation set:
+This Model is fine-tuned [AraT5-Base Model](https://huggingface.co/UBC-NLP/AraT5-base) on Arabic Question-Answering Dataset for **Question Generation** task .It achieves the following results on the evaluation set:
 
 - Bleu 1: 37.62 
 - Bleu 2: 27.80
@@ -39,7 +54,7 @@ This Model is fine-tuned[AraT5-Base Model](https://huggingface.co/UBC-NLP/AraT5-
 - Meteor: 33.19
 - Rouge-L: 43.37
 
-##Live Demo 
+## Live Demo 
 Get the Question from given Context and a Answer :[Arabic QG Model](https://huggingface.co/spaces/Mihakram/Arabic_Question_Generation)
 
 ## Model in Action 🚀