End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9251711510905907
+      value: 0.9261264129915618
 ---
 
 <!-- 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 [moreover18/vit-base-patch16-224-in21k-finetuned-eurosat](https://huggingface.co/moreover18/vit-base-patch16-224-in21k-finetuned-eurosat) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1871
-- Accuracy: 0.9252
+- Loss: 0.1868
+- Accuracy: 0.9261
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+}

runs/Nov16_18-51-34_n02vrdt4ok/events.out.tfevents.1700168000.n02vrdt4ok.32.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:873390b4eb4463146c82a5463efaa4cbf6abbcc92bb428d6a37722e13672a30e
+size 363

train_results.json

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+}

trainer_state.json

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