Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8677685950413223
+      value: 0.8600206611570248
 ---
 
 <!-- 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: 0.3441
-- Accuracy: 0.8678
-- Auc Overall: 0.9381
-- Auc Class 0: 0.9631
-- Auc Class 1: 0.9189
-- Auc Class 2: 0.9323
+- Loss: 0.3619
+- Accuracy: 0.8600
+- Auc Overall: 0.9320
+- Auc Class 0: 0.9628
+- Auc Class 1: 0.9083
+- Auc Class 2: 0.9249
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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 size 347502916