Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8333333333333334
+      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: 0.8253
-- Accuracy: 0.8333
-- Auc Overall: 0.8333
-- Auc Class 0: 1.0
-- Auc Class 1: 0.5
-- Auc Class 2: 1.0
+- Loss: 1.0246
+- Accuracy: 0.3333
+- Auc Overall: 0.625
+- Auc Class 0: 0.625
+- Auc Class 1: 1.0
+- Auc Class 2: 0.25
 
 ## Model description
 

runs/Sep04_10-53-36_data-science-wbi/events.out.tfevents.1725447218.data-science-wbi

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4eec127b37f69a61c0274d55d26a30d803bee9136845e64db3276ecd481785d1
-size 6025
+oid sha256:d024bc30f051e2f487b1d8d66a37d3b9275814348c643439ff0fa9fc7dd948d0
+size 9164

runs/Sep04_10-53-36_data-science-wbi/events.out.tfevents.1725447292.data-science-wbi

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92225dd26d505b60761ab96eb49bba68695bab7ee0b0dcce26942589966119df
+size 213