update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9426751592356688
+      value: 0.9745222929936306
 ---
 
 <!-- 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/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2331
-- Accuracy: 0.9427
+- Loss: 0.0907
+- Accuracy: 0.9745
 
 ## Model description
 
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1517        | 1.0   | 118  | 0.2654          | 0.9151   |
-| 0.1627        | 2.0   | 236  | 0.2255          | 0.9321   |
-| 0.1071        | 3.0   | 354  | 0.2734          | 0.9342   |
-| 0.0757        | 4.0   | 472  | 0.2343          | 0.9448   |
-| 0.059         | 5.0   | 590  | 0.2578          | 0.9384   |
-| 0.0266        | 6.0   | 708  | 0.2331          | 0.9427   |
+| 0.4096        | 1.0   | 118  | 0.3402          | 0.8790   |
+| 0.2749        | 2.0   | 236  | 0.1482          | 0.9490   |
+| 0.1989        | 3.0   | 354  | 0.1297          | 0.9660   |
+| 0.1129        | 4.0   | 472  | 0.1074          | 0.9788   |
+| 0.0827        | 5.0   | 590  | 0.1023          | 0.9745   |
+| 0.0644        | 6.0   | 708  | 0.0907          | 0.9745   |
 
 
 ### Framework versions