update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9822222222222222
+      value: 0.9755555555555555
 ---
 
 <!-- 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: 0.0660
-- Accuracy: 0.9822
+- Loss: 0.0675
+- Accuracy: 0.9756
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2137        | 1.0   | 190  | 0.1221          | 0.9663   |
-| 0.168         | 2.0   | 380  | 0.0961          | 0.9715   |
-| 0.1223        | 3.0   | 570  | 0.0660          | 0.9822   |
+| 0.2658        | 1.0   | 190  | 0.1311          | 0.9596   |
+| 0.1908        | 2.0   | 380  | 0.0730          | 0.9748   |
+| 0.1388        | 3.0   | 570  | 0.0675          | 0.9756   |
 
 
 ### Framework versions
 
-- Transformers 4.21.3
+- Transformers 4.22.1
 - Pytorch 1.12.1+cu113
-- Datasets 2.4.0
+- Datasets 2.5.1
 - Tokenizers 0.12.1