update model card README.md

README.md

@@ -27,13 +27,13 @@ model-index:
       value: 0.6998319625011055
     - name: Precision
       type: precision
-      value: 0.7002150749452164
+      value: 0.7022095243425648
     - name: Recall
       type: recall
       value: 0.6998319625011055
     - name: F1
       type: f1
-      value: 0.6991477606968214
+      value: 0.6999146124635052
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +43,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8287
+- Loss: 0.8297
 - Accuracy: 0.6998
-- Precision: 0.7002
+- Precision: 0.7022
 - Recall: 0.6998
-- F1: 0.6991
+- F1: 0.6999
 
 ## Model description