update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7696709585121603
+      value: 0.882689556509299
 ---
 
 <!-- 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: 0.5916
-- Accuracy: 0.7697
+- Loss: 0.3380
+- Accuracy: 0.8827
 
 ## Model description
 
@@ -60,15 +60,22 @@ 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: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1855        | 1.0   | 22   | 0.9104          | 0.6810   |
-| 0.7209        | 2.0   | 44   | 0.6361          | 0.7511   |
-| 0.6043        | 3.0   | 66   | 0.5916          | 0.7697   |
+| 0.4991        | 1.0   | 22   | 0.5482          | 0.7911   |
+| 0.4008        | 2.0   | 44   | 0.5193          | 0.7954   |
+| 0.3659        | 3.0   | 66   | 0.4464          | 0.8398   |
+| 0.372         | 4.0   | 88   | 0.4384          | 0.8398   |
+| 0.3388        | 5.0   | 110  | 0.4281          | 0.8455   |
+| 0.2654        | 6.0   | 132  | 0.3618          | 0.8712   |
+| 0.2326        | 7.0   | 154  | 0.3550          | 0.8755   |
+| 0.2354        | 8.0   | 176  | 0.3401          | 0.8798   |
+| 0.1774        | 9.0   | 198  | 0.3372          | 0.8827   |
+| 0.1849        | 10.0  | 220  | 0.3380          | 0.8827   |
 
 
 ### Framework versions