update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8073852295409182
+      value: 0.7914171656686627
 ---
 
 <!-- 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: 0.5495
-- Accuracy: 0.8074
+- Loss: 0.5603
+- Accuracy: 0.7914
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.782         | 0.99  | 70   | 0.8049          | 0.7275   |
-| 0.5867        | 1.99  | 140  | 0.5791          | 0.7974   |
-| 0.5429        | 2.99  | 210  | 0.5495          | 0.8074   |
+| 0.67          | 0.99  | 70   | 0.7920          | 0.7265   |
+| 0.5856        | 1.99  | 140  | 0.6192          | 0.7804   |
+| 0.5612        | 2.99  | 210  | 0.5603          | 0.7914   |
 
 
 ### Framework versions
 
-- Transformers 4.21.1
-- Pytorch 1.12.0+cu113
-- Datasets 2.4.0
-- Tokenizers 0.12.1
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2