Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9337979094076655
+      value: 0.9442508710801394
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1675
-- Accuracy: 0.9338
+- Loss: 0.1273
+- Accuracy: 0.9443
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.9439        | 0.9877 | 40   | 0.4739          | 0.8397   |
-| 0.4044        | 2.0    | 81   | 0.2816          | 0.8920   |
-| 0.2937        | 2.9877 | 121  | 0.2262          | 0.9233   |
-| 0.2349        | 4.0    | 162  | 0.1719          | 0.9338   |
-| 0.2065        | 4.9383 | 200  | 0.1675          | 0.9338   |
+| 0.87          | 0.9877 | 40   | 0.3875          | 0.8711   |
+| 0.426         | 2.0    | 81   | 0.2235          | 0.9024   |
+| 0.292         | 2.9877 | 121  | 0.2056          | 0.9268   |
+| 0.217         | 4.0    | 162  | 0.1578          | 0.9338   |
+| 0.1797        | 4.9383 | 200  | 0.1273          | 0.9443   |
 
 
 ### Framework versions

runs/Oct17_09-28-34_85ab1e65a8c1/events.out.tfevents.1729157338.85ab1e65a8c1.241.9

@@ -1,3 +1,3 @@
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+oid sha256:e6e29b7acca40ba252a343b1503193485c4f7b6a2b8e208edc94ef4708e6c948
+size 8479