update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4
+      value: 0.8
 ---
 
 <!-- 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: 1.4366
-- Accuracy: 0.4
+- Loss: 1.0377
+- Accuracy: 0.8
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 1.6357          | 0.4      |
-| No log        | 2.0   | 2    | 1.5019          | 0.4      |
-| No log        | 3.0   | 3    | 1.4366          | 0.4      |
+| No log        | 1.0   | 1    | 1.6117          | 0.6      |
+| No log        | 2.0   | 2    | 1.5290          | 0.6      |
+| No log        | 3.0   | 3    | 1.4318          | 0.8      |
+| No log        | 4.0   | 4    | 1.3328          | 0.8      |
+| No log        | 5.0   | 5    | 1.2356          | 0.8      |
+| No log        | 6.0   | 6    | 1.1691          | 0.8      |
+| No log        | 7.0   | 7    | 1.1160          | 0.8      |
+| No log        | 8.0   | 8    | 1.0754          | 0.8      |
+| No log        | 9.0   | 9    | 1.0506          | 0.8      |
+| No log        | 10.0  | 10   | 1.0377          | 0.8      |
 
 
 ### Framework versions