update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6868686868686869
+      value: 0.6422849181469871
 ---
 
 <!-- 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/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8411
-- Accuracy: 0.6869
+- Loss: 0.9593
+- Accuracy: 0.6423
 
 ## Model description
 
@@ -58,15 +58,13 @@ 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: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1659        | 1.0   | 202  | 0.9776          | 0.6245   |
-| 1.0531        | 2.0   | 404  | 0.8919          | 0.6733   |
-| 1.001         | 3.0   | 606  | 0.8411          | 0.6869   |
+| 1.1404        | 1.0   | 202  | 0.9593          | 0.6423   |
 
 
 ### Framework versions