Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9740740740740741
+      value: 0.9777777777777777
 ---
 
 <!-- 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: 0.0685
-- Accuracy: 0.9741
+- Loss: 0.0617
+- Accuracy: 0.9778
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2723        | 1.0   | 190  | 0.1190          | 0.9633   |
-| 0.1886        | 2.0   | 380  | 0.0764          | 0.9719   |
-| 0.1336        | 3.0   | 570  | 0.0685          | 0.9741   |
+| 0.2542        | 1.0   | 190  | 0.1224          | 0.9615   |
+| 0.171         | 2.0   | 380  | 0.0831          | 0.9689   |
+| 0.1617        | 3.0   | 570  | 0.0617          | 0.9778   |
 
 
 ### Framework versions