update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8228346456692913
+      value: 0.8346456692913385
 ---
 
 <!-- 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: 0.4607
-- Accuracy: 0.8228
+- Loss: 0.3757
+- Accuracy: 0.8346
 
 ## Model description
 
@@ -60,15 +60,18 @@ 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: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5176        | 1.0   | 18   | 0.4607          | 0.8228   |
-| 0.4291        | 2.0   | 36   | 0.4497          | 0.8228   |
-| 0.4051        | 3.0   | 54   | 0.4248          | 0.8228   |
+| 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   |
 
 
 ### Framework versions