update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9829629629629629
+      value: 0.875
 ---
 
 <!-- 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: 0.0575
-- Accuracy: 0.9830
+- Loss: 0.4066
+- Accuracy: 0.875
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2392        | 1.0   | 190  | 0.1043          | 0.9696   |
-| 0.1805        | 2.0   | 380  | 0.0945          | 0.9678   |
-| 0.14          | 3.0   | 570  | 0.0575          | 0.9830   |
+| No log        | 0.57  | 1    | 0.7569          | 0.5417   |
+| No log        | 1.57  | 2    | 0.5000          | 0.8333   |
+| No log        | 2.57  | 3    | 0.4066          | 0.875    |
 
 
 ### Framework versions