update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.42857142857142855
+      value: 0.2857142857142857
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ 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 image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9640
-- Accuracy: 0.4286
+- Loss: 0.8619
+- Accuracy: 0.2857
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.8196          | 0.2857   |
-| No log        | 2.0   | 2    | 0.9640          | 0.4286   |
-| No log        | 3.0   | 3    | 0.9854          | 0.4286   |
+| No log        | 1.0   | 1    | 0.7828          | 0.2857   |
+| No log        | 2.0   | 2    | 0.8606          | 0.1429   |
+| No log        | 3.0   | 3    | 0.8619          | 0.2857   |
 
 
 ### Framework versions