update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5714285714285714
+      value: 0.8955223880597015
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 1.2667
-- Accuracy: 0.5714
+- Loss: 0.6056
+- Accuracy: 0.8955
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.67  | 1    | 1.7197          | 0.1905   |
-| No log        | 1.67  | 2    | 1.3801          | 0.4286   |
-| No log        | 2.67  | 3    | 1.2667          | 0.5714   |
+| No log        | 0.84  | 4    | 1.1199          | 0.6269   |
+| No log        | 1.84  | 8    | 0.7175          | 0.8657   |
+| 1.2191        | 2.84  | 12   | 0.6056          | 0.8955   |
 
 
 ### Framework versions