update model card README.md

README.md

@@ -24,16 +24,16 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7178329571106095
+      value: 0.7188003869719445
     - name: Precision
       type: precision
-      value: 0.7187025517730355
+      value: 0.7219837313936599
     - name: Recall
       type: recall
-      value: 0.7178329571106095
+      value: 0.7188003869719445
     - name: F1
       type: f1
-      value: 0.717743945710896
+      value: 0.718989971086903
 ---
 
 <!-- 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: 0.8245
-- Accuracy: 0.7178
-- Precision: 0.7187
-- Recall: 0.7178
-- F1: 0.7177
+- Loss: 0.8271
+- Accuracy: 0.7188
+- Precision: 0.7220
+- Recall: 0.7188
+- F1: 0.7190
 
 ## Model description