Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9477351916376306
+      value: 0.9547038327526133
 ---
 
 <!-- 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: 0.1158
-- Accuracy: 0.9477
+- Loss: 0.1214
+- Accuracy: 0.9547
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.5761        | 0.9877 | 40   | 0.4113          | 0.8432   |
-| 0.3871        | 2.0    | 81   | 0.2570          | 0.9024   |
-| 0.2586        | 2.9877 | 121  | 0.1910          | 0.9408   |
-| 0.2164        | 4.0    | 162  | 0.1312          | 0.9443   |
-| 0.1757        | 4.9383 | 200  | 0.1158          | 0.9477   |
+| 0.6001        | 0.9877 | 40   | 0.4059          | 0.8467   |
+| 0.3615        | 2.0    | 81   | 0.2406          | 0.9129   |
+| 0.2619        | 2.9877 | 121  | 0.1816          | 0.9373   |
+| 0.2262        | 4.0    | 162  | 0.1401          | 0.9443   |
+| 0.179         | 4.9383 | 200  | 0.1214          | 0.9547   |
 
 
 ### Framework versions

runs/Oct17_04-14-12_05a7a6f58592/events.out.tfevents.1729138455.05a7a6f58592.1707.0

@@ -1,3 +1,3 @@
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-size 10882
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+size 11559