Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9544444444444444
+      value: 0.9507407407407408
 ---
 
 <!-- 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: 0.1369
-- Accuracy: 0.9544
+- Loss: 0.1480
+- Accuracy: 0.9507
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.4313        | 0.9895 | 47   | 0.2517          | 0.9167   |
-| 0.2492        | 2.0    | 95   | 0.1589          | 0.9456   |
-| 0.2205        | 2.9684 | 141  | 0.1369          | 0.9544   |
+| 0.4418        | 0.9895 | 47   | 0.2409          | 0.9196   |
+| 0.2514        | 2.0    | 95   | 0.1633          | 0.9463   |
+| 0.1907        | 2.9684 | 141  | 0.1480          | 0.9507   |
 
 
 ### Framework versions