End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9033333333333333
+      value: 0.9133333333333333
 ---
 
 <!-- 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: 0.2848
-- Accuracy: 0.9033
+- Loss: 0.2508
+- Accuracy: 0.9133
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.649         | 1.0   | 11   | 0.4973          | 0.7867   |
-| 0.3808        | 2.0   | 22   | 0.2848          | 0.9033   |
+| 0.5945        | 1.0   | 11   | 0.3302          | 0.8733   |
+| 0.3064        | 2.0   | 22   | 0.2508          | 0.9133   |
 
 
 ### Framework versions