update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9269190721647167
+      value: 0.9297928229609359
     - name: Accuracy
       type: accuracy
-      value: 0.9285341679707877
+      value: 0.9316640584246219
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,10 +35,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3482
-- F1: 0.9269
-- Roc Auc: 0.9789
-- Accuracy: 0.9285
+- Loss: 0.3430
+- F1: 0.9298
+- Roc Auc: 0.9777
+- Accuracy: 0.9317
 
 ## Model description