Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8600206611570248
+      value: 0.8344402277039848
 ---
 
 <!-- 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: 0.3584
-- Accuracy: 0.8600
-- Auc Overall: 0.9327
-- Auc Class 0: 0.9624
-- Auc Class 1: 0.9106
-- Auc Class 2: 0.9253
+- Loss: 0.4016
+- Accuracy: 0.8344
+- Auc Overall: 0.9393
+- Auc Class 0: 0.9626
+- Auc Class 1: 0.9328
+- Auc Class 2: 0.9224
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:317fd6eb2b858dc9a3596c9192f2123c1928c0016a1118e9c3e9e94c31536076
+oid sha256:eafd06b03c614140c037637294b578195a8d8b30420c47bb31b27ebf3827f8c2
 size 347502916