Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6666666666666666
+      value: 0.8772656654583117
 ---
 
 <!-- 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: 0.9276
-- Accuracy: 0.6667
-- Auc Overall: 0.75
-- Auc Class 0: 0.625
-- Auc Class 1: 0.75
-- Auc Class 2: 0.875
+- Loss: 0.3079
+- Accuracy: 0.8773
+- Auc Overall: 0.9573
+- Auc Class 0: 0.9495
+- Auc Class 1: 0.9597
+- Auc Class 2: 0.9626
 
 ## Model description