End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.54375
+      value: 0.45
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 1.6204
-- Accuracy: 0.5437
+- Loss: 1.4645
+- Accuracy: 0.45
 
 ## Model description
 

runs/Sep06_09-13-55_dc2070f0e4fb/events.out.tfevents.1725614168.dc2070f0e4fb.314.1

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+size 405