update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9354838709677419
+      value: 0.7352941176470589
 ---
 
 <!-- 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-small-patch4-window7-224](https://huggingface.co/microsoft/swin-small-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4233
-- Accuracy: 0.9355
+- Loss: 0.4772
+- Accuracy: 0.7353
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.89  | 2    | 0.5686          | 0.8387   |
-| No log        | 1.78  | 4    | 0.4605          | 0.9032   |
-| No log        | 2.67  | 6    | 0.4233          | 0.9355   |
+| No log        | 0.8   | 2    | 0.6288          | 0.7647   |
+| No log        | 2.0   | 5    | 0.4928          | 0.7647   |
+| No log        | 2.4   | 6    | 0.4772          | 0.7353   |
 
 
 ### Framework versions