End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.968421052631579
+      value: 0.9719298245614035
 ---
 
 <!-- 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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0940
-- Accuracy: 0.9684
+- Loss: 0.1078
+- Accuracy: 0.9719
 
 ## Model description
 

all_results.json

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eval_results.json

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+}

runs/Nov22_19-32-37_125e4111fa0e/events.out.tfevents.1700682767.125e4111fa0e.395.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:551fef9f29eed8c43ea3510e033f4eb4691e3128fb616cbc8533bde30b7fe94a
+size 411

train_results.json

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+}

trainer_state.json

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