End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8764044943820225
+      value: 0.898876404494382
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 0.3101
-- Accuracy: 0.8764
+- Loss: 0.3768
+- Accuracy: 0.8989
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Dec15_10-24-13_8e47523e7715/events.out.tfevents.1734258547.8e47523e7715.23.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b2f21c062470977adcdb89a5a561473c9ec990d673c4f7ffa3497abbe944c8f6
+size 405

train_results.json

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trainer_state.json

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