update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.961352657004831
+      value: 0.9259259259259259
 ---
 
 <!-- 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: 0.0963
-- Accuracy: 0.9614
+- Loss: 0.2031
+- Accuracy: 0.9259
 
 ## Model description
 
@@ -51,7 +51,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -66,11 +66,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4343        | 1.0   | 174  | 0.2458          | 0.9275   |
-| 0.3086        | 2.0   | 349  | 0.1366          | 0.9517   |
-| 0.2377        | 3.0   | 523  | 0.1385          | 0.9469   |
-| 0.2451        | 4.0   | 698  | 0.1001          | 0.9630   |
-| 0.1148        | 4.99  | 870  | 0.0963          | 0.9614   |
+| 0.6591        | 1.0   | 174  | 0.5232          | 0.8068   |
+| 0.4104        | 2.0   | 349  | 0.3161          | 0.8889   |
+| 0.3559        | 3.0   | 523  | 0.2237          | 0.9163   |
+| 0.3487        | 4.0   | 698  | 0.1999          | 0.9195   |
+| 0.3422        | 4.99  | 870  | 0.2031          | 0.9259   |
 
 
 ### Framework versions