End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7058823529411765
+      value: 0.7254901960784313
 ---
 
 <!-- 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](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8187
-- Accuracy: 0.7059
+- Loss: 0.8470
+- Accuracy: 0.7255
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Jun17_10-58-29_DESKTOP-SKBE9FB/events.out.tfevents.1718643929.DESKTOP-SKBE9FB.9632.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4f98f254eeb4615f481ffcfc5369e38a1254bf0809119e5ce815e402c9ab02e8
+size 405

train_results.json

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trainer_state.json

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