update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9359067734887109
+      value: 0.9358600583090378
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,7 +31,7 @@ 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: 0.1815
+- Loss: 0.2184
 - Accuracy: 0.9359
 
 ## Model description
@@ -60,15 +60,18 @@ 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: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3277        | 1.0   | 171  | 0.2930          | 0.9002   |
-| 0.2401        | 2.0   | 342  | 0.1914          | 0.9374   |
-| 0.1036        | 3.0   | 513  | 0.1815          | 0.9359   |
+| 0.3368        | 1.0   | 171  | 0.2780          | 0.9009   |
+| 0.2129        | 2.0   | 342  | 0.2333          | 0.9300   |
+| 0.1827        | 3.0   | 513  | 0.2440          | 0.9213   |
+| 0.1475        | 4.0   | 684  | 0.2306          | 0.9315   |
+| 0.1284        | 5.0   | 855  | 0.2192          | 0.9359   |
+| 0.0526        | 6.0   | 1026 | 0.2184          | 0.9359   |
 
 
 ### Framework versions