Update README.md

README.md

@@ -17,9 +17,15 @@ model-index:
       type: samsum
       split: validation
     metrics:
-    - name: Rouge1
-      type: rouge
-      value: 46.819
+    - type: rogue1
+      value: 46.819522%
+    - type: rouge2
+      value: 20.898074%
+    - type: rougeL
+      value: 37.300937%
+    - type: rougeLsum
+      value: 37.271341%
+
 pipeline_tag: summarization
 inference: false
 library_name: transformers
@@ -59,10 +65,6 @@ The following hyperparameters were used during training:
 ### Training results
 
 - train_loss: 1.47
-- rogue1: 46.819522%
-- rouge2: 20.898074%
-- rougeL: 37.300937%
-- rougeLsum: 37.271341%
 
 ### How to use
 Note 'max_new_tokens=60' is used in the below example to control the length of the summary. FLAN-T5 model has max generation length = 200  and min generation length = 20 (default).