update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.796875
+      value: 0.87375
 ---
 
 <!-- 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/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7767
-- Accuracy: 0.7969
+- Loss: 0.4391
+- Accuracy: 0.8738
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.6781        | 0.99  | 47   | 1.8040          | 0.5475   |
-| 1.3191        | 1.99  | 94   | 0.9501          | 0.745    |
-| 1.078         | 2.98  | 141  | 0.7767          | 0.7969   |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 2.6781        | 0.99  | 47   | 0.5475   | 1.8040          |
+| 1.3191        | 1.99  | 94   | 0.745    | 0.9501          |
+| 1.078         | 2.98  | 141  | 0.7969   | 0.7767          |
+| 0.9125        | 3.99  | 188  | 0.6060   | 0.8406          |
+| 0.7527        | 4.99  | 235  | 0.5214   | 0.8575          |
+| 0.6852        | 5.98  | 282  | 0.4588   | 0.8656          |
+| 0.6233        | 6.98  | 329  | 0.4391   | 0.8738          |
 
 
 ### Framework versions