update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.88125
+      value: 0.9375
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,17 +31,17 @@ 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: 0.5797
-- Accuracy: 0.8812
-- Weighted f1: 0.8740
-- Micro f1: 0.8812
-- Macro f1: 0.8740
-- Weighted recall: 0.8812
-- Micro recall: 0.8812
-- Macro recall: 0.8813
-- Weighted precision: 0.9157
-- Micro precision: 0.8812
-- Macro precision: 0.9157
+- Loss: 0.2538
+- Accuracy: 0.9375
+- Weighted f1: 0.9365
+- Micro f1: 0.9375
+- Macro f1: 0.9365
+- Weighted recall: 0.9375
+- Micro recall: 0.9375
+- Macro recall: 0.9375
+- Weighted precision: 0.9455
+- Micro precision: 0.9375
+- Macro precision: 0.9455
 
 ## Model description