End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.59375
+      value: 0.64375
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 1.1960
-- Accuracy: 0.5938
+- Loss: 1.2002
+- Accuracy: 0.6438
 
 ## Model description
 

runs/Jun04_17-31-53_e9cfaf10c209/events.out.tfevents.1717522714.e9cfaf10c209.34.1

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