update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6888888888888889
+      value: 0.7944444444444444
 ---
 
 <!-- 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: 0.7584
-- Accuracy: 0.6889
+- Loss: 0.4211
+- Accuracy: 0.7944
 
 ## Model description
 
@@ -60,15 +60,19 @@ 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: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.4508        | 0.94  | 12   | 1.0635          | 0.5222   |
-| 1.0264        | 1.96  | 25   | 0.8359          | 0.6222   |
-| 0.917         | 2.82  | 36   | 0.7584          | 0.6889   |
+| 0.8112        | 0.94  | 12   | 0.6080          | 0.75     |
+| 0.6849        | 1.96  | 25   | 0.5325          | 0.7889   |
+| 0.6835        | 2.98  | 38   | 0.5046          | 0.7778   |
+| 0.6253        | 4.0   | 51   | 0.4427          | 0.8056   |
+| 0.6203        | 4.94  | 63   | 0.4305          | 0.8222   |
+| 0.559         | 5.96  | 76   | 0.4347          | 0.7833   |
+| 0.5664        | 6.59  | 84   | 0.4211          | 0.7944   |
 
 
 ### Framework versions