Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8772656654583117
+      value: 0.5
 ---
 
 <!-- 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: 0.3079
-- Accuracy: 0.8773
-- Auc Overall: 0.9573
-- Auc Class 0: 0.9495
-- Auc Class 1: 0.9597
-- Auc Class 2: 0.9626
+- Loss: 0.8810
+- Accuracy: 0.5
+- Auc Overall: 0.9167
+- Auc Class 0: 0.875
+- Auc Class 1: 1.0
+- Auc Class 2: 0.875
 
 ## Model description
 

model.safetensors

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runs/Sep04_09-20-52_data-science-wbi/events.out.tfevents.1725441670.data-science-wbi

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