update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6415436054611312
+      value: 0.6840345500139314
 ---
 
 <!-- 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: 0.9518
-- Accuracy: 0.6415
+- Loss: 0.8481
+- Accuracy: 0.6840
 
 ## Model description
 
@@ -58,13 +58,15 @@ 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: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1175        | 1.0   | 224  | 0.9518          | 0.6415   |
+| 1.1839        | 1.0   | 224  | 1.0266          | 0.6120   |
+| 1.0333        | 2.0   | 448  | 0.9063          | 0.6608   |
+| 0.9655        | 3.0   | 672  | 0.8481          | 0.6840   |
 
 
 ### Framework versions