update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9898
+      value: 0.9918
 ---
 
 <!-- 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](https://huggingface.co/microsoft/beit-base-patch16-224) on the cifar10 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0315
-- Accuracy: 0.9898
+- Loss: 0.0256
+- Accuracy: 0.9918
 
 ## Model description
 
@@ -49,7 +49,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3517        | 1.0   | 351  | 0.0601          | 0.9792   |
-| 0.2232        | 2.0   | 702  | 0.0373          | 0.9872   |
-| 0.203         | 3.0   | 1053 | 0.0315          | 0.9898   |
+| 0.3296        | 1.0   | 351  | 0.0492          | 0.9862   |
+| 0.2353        | 2.0   | 702  | 0.0331          | 0.9894   |
+| 0.2127        | 3.0   | 1053 | 0.0256          | 0.9918   |
 
 
 ### Framework versions