End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8878727634194831
+      value: 0.9021825396825397
 ---
 
 <!-- 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: 0.3921
-- Accuracy: 0.8879
+- Loss: 0.3568
+- Accuracy: 0.9022
 
 ## Model description
 

all_results.json

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runs/May27_06-51-20_c5e46e9fa53c/events.out.tfevents.1716800038.c5e46e9fa53c.24.1

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+size 411

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