End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7289156626506024
+      value: 0.7309236947791165
 ---
 
 <!-- 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 [xiaopch/vit-base-patch16-224-finetuned](https://huggingface.co/xiaopch/vit-base-patch16-224-finetuned) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9039
-- Accuracy: 0.7289
+- Loss: 0.9246
+- Accuracy: 0.7309
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Nov30_14-15-54_4b23d0e9dade/events.out.tfevents.1701355530.4b23d0e9dade.2219.3

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+size 734

train_results.json

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trainer_state.json

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