Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8095238095238095
+      value: 0.9602272727272727
 ---
 
 <!-- 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: 0.5369
-- Accuracy: 0.8095
+- Loss: 0.0961
+- Accuracy: 0.9602
 
 ## Model description
 
@@ -65,10 +65,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.6667 | 1    | 0.6703          | 0.5238   |
-| No log        | 2.0    | 3    | 0.5369          | 0.8095   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6516        | 0.96  | 12   | 0.3617          | 0.9318   |
+| 0.3909        | 2.0   | 25   | 0.1510          | 0.9489   |
+| 0.2274        | 2.88  | 36   | 0.0961          | 0.9602   |
 
 
 ### Framework versions