Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9748148148148148
+      value: 0.977037037037037
 ---
 
 <!-- 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: 0.0716
-- Accuracy: 0.9748
+- Loss: 0.0702
+- Accuracy: 0.9770
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2409        | 1.0   | 190  | 0.1124          | 0.9667   |
-| 0.2039        | 2.0   | 380  | 0.0964          | 0.9685   |
-| 0.1254        | 3.0   | 570  | 0.0716          | 0.9748   |
+| 0.2433        | 1.0   | 190  | 0.1255          | 0.9585   |
+| 0.1721        | 2.0   | 380  | 0.0852          | 0.9704   |
+| 0.1388        | 3.0   | 570  | 0.0702          | 0.9770   |
 
 
 ### Framework versions