End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8431372549019608
+      value: 0.8627450980392157
 ---
 
 <!-- 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: 0.4875
-- Accuracy: 0.8431
+- Loss: 0.5349
+- Accuracy: 0.8627
 
 ## Model description
 

all_results.json

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eval_results.json

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+}

runs/May23_09-17-32_DESKTOP-SKBE9FB/events.out.tfevents.1716477991.DESKTOP-SKBE9FB.1200.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8cdfd173b36da3ceab57345cb1ffcfb4c07ceeb19d5ea5ef4db6945f3391289e
+size 411

train_results.json

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trainer_state.json

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