update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6363636363636364
+      value: 0.8181818181818182
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ 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 image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6762
-- Accuracy: 0.6364
+- Loss: 0.4992
+- Accuracy: 0.8182
 
 ## Model description
 
@@ -58,15 +58,22 @@ 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7567          | 0.4545   |
-| No log        | 2.0   | 2    | 0.6788          | 0.5455   |
-| No log        | 3.0   | 3    | 0.6762          | 0.6364   |
+| No log        | 1.0   | 1    | 0.6762          | 0.6364   |
+| No log        | 2.0   | 2    | 0.6309          | 0.7273   |
+| No log        | 3.0   | 3    | 0.6095          | 0.6364   |
+| No log        | 4.0   | 4    | 0.5775          | 0.6364   |
+| No log        | 5.0   | 5    | 0.5443          | 0.8182   |
+| No log        | 6.0   | 6    | 0.5242          | 0.9091   |
+| No log        | 7.0   | 7    | 0.5149          | 0.8182   |
+| No log        | 8.0   | 8    | 0.5094          | 0.8182   |
+| No log        | 9.0   | 9    | 0.5038          | 0.8182   |
+| 0.4095        | 10.0  | 10   | 0.4992          | 0.8182   |
 
 
 ### Framework versions