Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9616724738675958
+      value: 0.9651567944250871
 ---
 
 <!-- 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: 0.1127
-- Accuracy: 0.9617
+- Loss: 0.1167
+- Accuracy: 0.9652
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.1888        | 0.9877 | 40   | 0.1500          | 0.9443   |
-| 0.1514        | 2.0    | 81   | 0.1221          | 0.9582   |
-| 0.1189        | 2.9877 | 121  | 0.1647          | 0.9443   |
-| 0.1042        | 4.0    | 162  | 0.1224          | 0.9582   |
-| 0.1055        | 4.9383 | 200  | 0.1127          | 0.9617   |
+| 0.0628        | 0.9877 | 40   | 0.1494          | 0.9512   |
+| 0.0499        | 2.0    | 81   | 0.1830          | 0.9373   |
+| 0.0697        | 2.9877 | 121  | 0.1094          | 0.9547   |
+| 0.0646        | 4.0    | 162  | 0.1318          | 0.9582   |
+| 0.0481        | 4.9383 | 200  | 0.1167          | 0.9652   |
 
 
 ### Framework versions