update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.84251968503937
+      value: 0.7296969696969697
 ---
 
 <!-- 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: 0.4542
-- Accuracy: 0.8425
+- Loss: 0.5135
+- Accuracy: 0.7297
 
 ## Model description
 
@@ -66,17 +66,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6766        | 1.0   | 18   | 0.4542          | 0.8425   |
-| 0.4078        | 2.0   | 36   | 0.3918          | 0.8425   |
-| 0.4251        | 3.0   | 54   | 0.3993          | 0.8425   |
-| 0.3648        | 4.0   | 72   | 0.3716          | 0.8386   |
-| 0.3474        | 5.0   | 90   | 0.3802          | 0.8346   |
-| 0.367         | 6.0   | 108  | 0.3757          | 0.8346   |
+| 0.6197        | 1.0   | 58   | 0.6089          | 0.6558   |
+| 0.5984        | 2.0   | 116  | 0.5503          | 0.7103   |
+| 0.5664        | 3.0   | 174  | 0.5392          | 0.7321   |
+| 0.5645        | 4.0   | 232  | 0.5388          | 0.7261   |
+| 0.5467        | 5.0   | 290  | 0.5143          | 0.7321   |
+| 0.5316        | 6.0   | 348  | 0.5135          | 0.7297   |
 
 
 ### Framework versions
 
-- Transformers 4.22.2
+- Transformers 4.23.1
 - Pytorch 1.12.1+cu113
-- Datasets 2.5.1
-- Tokenizers 0.12.1
+- Datasets 2.5.2
+- Tokenizers 0.13.1