End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8844884488448845
+      value: 0.8910891089108911
 ---
 
 <!-- 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: 0.2853
-- Accuracy: 0.8845
+- Loss: 0.2589
+- Accuracy: 0.8911
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+{
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+}

runs/Apr12_08-15-00_a3eb5b2dad25/events.out.tfevents.1712923905.a3eb5b2dad25.305.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:017c27a392a39429f21436b88e18c4f4241a108b1ce64fd7beab70e92a0e2297
+size 405

train_results.json

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+}

trainer_state.json

@@ -0,0 +1,145 @@
+{
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+}