End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8861386138613861
+      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: 0.3088
-- Accuracy: 0.8861
+- Loss: 0.3172
+- Accuracy: 0.8911
 
 ## Model description
 

all_results.json

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eval_results.json

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runs/Apr26_02-05-17_0fb91cab2fc3/events.out.tfevents.1714098844.0fb91cab2fc3.5439.1

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+size 411

train_results.json

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trainer_state.json

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