update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9166666666666666
+      value: 0.9775132275132276
 ---
 
 <!-- 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: 0.2592
-- Accuracy: 0.9167
+- Loss: 0.0918
+- Accuracy: 0.9775
 
 ## Model description
 
@@ -60,14 +60,17 @@ 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: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4904        | 0.98  | 33   | 0.3857          | 0.8783   |
-| 0.2188        | 1.98  | 66   | 0.2592          | 0.9167   |
+| 0.6233        | 0.98  | 33   | 0.3001          | 0.9101   |
+| 0.1958        | 1.98  | 66   | 0.1287          | 0.9643   |
+| 0.1212        | 2.98  | 99   | 0.1109          | 0.9709   |
+| 0.0734        | 3.98  | 132  | 0.1179          | 0.9643   |
+| 0.0457        | 4.98  | 165  | 0.0918          | 0.9775   |
 
 
 ### Framework versions