Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5
+      value: 0.3333333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,12 +33,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0560
-- Accuracy: 0.5
-- Auc Overall: 0.5833
-- Auc Class 0: 0.25
-- Auc Class 1: 0.5
-- Auc Class 2: 1.0
+- Loss: 0.9920
+- Accuracy: 0.3333
+- Auc Overall: 0.75
+- Auc Class 0: 0.5
+- Auc Class 1: 1.0
+- Auc Class 2: 0.75
 
 ## Model description
 

model.safetensors

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