update model card README.md

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 tags:
+- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -22,10 +23,10 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.981235926945209
+      value: 0.98175456135966
     - name: Accuracy
       type: accuracy
-      value: 0.9667030567685589
+      value: 0.9672489082969432
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,10 +36,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0668
-- F1: 0.9812
-- Roc Auc: 0.9836
-- Accuracy: 0.9667
+- Loss: 0.0592
+- F1: 0.9818
+- Roc Auc: 0.9842
+- Accuracy: 0.9672
 
 ## Model description