Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9803921568627451
+      value: 0.9755736491487786
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.1426
-- Accuracy: 0.9804
+- Loss: 0.0742
+- Accuracy: 0.9756
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 0.1426          | 0.9804   |
-| No log        | 1.87  | 7    | 0.0373          | 0.9804   |
-| No log        | 2.4   | 9    | 0.0328          | 0.9804   |
+| 0.2648        | 1.0   | 190  | 0.1152          | 0.9634   |
+| 0.1807        | 2.0   | 380  | 0.0897          | 0.9711   |
+| 0.1267        | 3.0   | 570  | 0.0742          | 0.9756   |
 
 
 ### Framework versions