update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.896551724137931
+      value: 0.8620689655172413
 ---
 
 <!-- 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: 0.4768
-- Accuracy: 0.8966
+- Loss: 0.4872
+- Accuracy: 0.8621
 
 ## Model description
 
@@ -67,20 +67,20 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 1.0387          | 0.3103   |
-| No log        | 2.0   | 3    | 1.0144          | 0.6552   |
-| No log        | 3.0   | 5    | 0.9570          | 0.7241   |
-| No log        | 4.0   | 6    | 0.9075          | 0.6552   |
-| No log        | 5.0   | 7    | 0.8455          | 0.7241   |
-| No log        | 6.0   | 9    | 0.7622          | 0.7931   |
-| 0.4555        | 7.0   | 11   | 0.7067          | 0.7931   |
-| 0.4555        | 8.0   | 12   | 0.6745          | 0.8276   |
-| 0.4555        | 9.0   | 13   | 0.6108          | 0.8621   |
-| 0.4555        | 10.0  | 15   | 0.5319          | 0.8966   |
-| 0.4555        | 11.0  | 17   | 0.4943          | 0.8966   |
-| 0.4555        | 12.0  | 18   | 0.4896          | 0.8966   |
-| 0.4555        | 13.0  | 19   | 0.4820          | 0.8966   |
-| 0.2224        | 13.33 | 20   | 0.4768          | 0.8966   |
+| No log        | 1.0   | 1    | 1.1700          | 0.2759   |
+| No log        | 2.0   | 3    | 1.0351          | 0.3793   |
+| No log        | 3.0   | 5    | 0.9731          | 0.5172   |
+| No log        | 4.0   | 6    | 0.9362          | 0.5172   |
+| No log        | 5.0   | 7    | 0.8890          | 0.5517   |
+| No log        | 6.0   | 9    | 0.7596          | 0.7586   |
+| 0.5024        | 7.0   | 11   | 0.6531          | 0.8621   |
+| 0.5024        | 8.0   | 12   | 0.6170          | 0.8621   |
+| 0.5024        | 9.0   | 13   | 0.5878          | 0.8966   |
+| 0.5024        | 10.0  | 15   | 0.5418          | 0.8621   |
+| 0.5024        | 11.0  | 17   | 0.5122          | 0.8621   |
+| 0.5024        | 12.0  | 18   | 0.5021          | 0.8621   |
+| 0.5024        | 13.0  | 19   | 0.4928          | 0.8621   |
+| 0.3117        | 13.33 | 20   | 0.4872          | 0.8621   |
 
 
 ### Framework versions