update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7352941176470589
+      value: 0.6923076923076923
 ---
 
 <!-- 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: 0.4772
-- Accuracy: 0.7353
+- Loss: 0.5031
+- Accuracy: 0.6923
 
 ## Model description
 
@@ -61,15 +61,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| No log        | 0.73  | 2    | 0.6585          | 0.6154   |
+| No log        | 1.82  | 5    | 0.5773          | 0.6410   |
+| No log        | 2.91  | 8    | 0.5031          | 0.6923   |
 
 
 ### Framework versions