Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9796511627906976
+      value: 0.9777131782945736
 ---
 
 <!-- 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/swinv2-tiny-patch4-window16-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window16-256) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0600
-- Accuracy: 0.9797
+- Loss: 0.0636
+- Accuracy: 0.9777
 
 ## Model description
 
@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1394        | 1.0   | 516  | 0.0600          | 0.9797   |
+| 0.103         | 1.0   | 516  | 0.0636          | 0.9777   |
 
 
 ### Framework versions