update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9526
+      value: 0.9718
 ---
 
 <!-- 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 cifar10 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1494
-- Accuracy: 0.9526
+- Loss: 0.0818
+- Accuracy: 0.9718
 
 ## Model description
 
@@ -60,13 +60,14 @@ 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: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5206        | 1.0   | 351  | 0.1494          | 0.9526   |
+| 0.2427        | 1.0   | 351  | 0.1060          | 0.9656   |
+| 0.3361        | 2.0   | 702  | 0.0818          | 0.9718   |
 
 
 ### Framework versions