update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8566666666666667
+      value: 0.9066666666666666
     - name: F1
       type: f1
-      value: 0.8402654475773343
+      value: 0.9059526685788556
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5127
-- Accuracy: 0.8567
-- F1: 0.8403
+- Loss: 0.2581
+- Accuracy: 0.9067
+- F1: 0.9060
 
 ## Model description