update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9996666666666667
+      value: 1.0
 ---
 
 <!-- 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-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0007
-- Accuracy: 0.9997
+- Loss: 0.0000
+- Accuracy: 1.0
 
 ## Model description
 
@@ -60,15 +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: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0           | 1.0   | 109  | 0.0007          | 0.9997   |
-| 0.0           | 2.0   | 219  | 0.0007          | 0.9997   |
-| 0.0002        | 2.99  | 327  | 0.0007          | 0.9997   |
+| 0.0035        | 1.0   | 109  | 0.0001          | 1.0      |
+| 0.0001        | 2.0   | 219  | 0.0000          | 1.0      |
+| 0.0001        | 3.0   | 328  | 0.0011          | 0.9997   |
+| 0.0001        | 4.0   | 438  | 0.0000          | 1.0      |
+| 0.0           | 4.98  | 545  | 0.0000          | 1.0      |
 
 
 ### Framework versions