update model card README.md

README.md

@@ -1,8 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 datasets:
 - beans
@@ -33,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1332
 - Accuracy: 0.9699
+- Loss: 0.1349
 
 ## Model description
 
@@ -63,13 +61,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4885        | 1.0   | 65   | 0.3982          | 0.9549   |
-| 0.271         | 2.0   | 130  | 0.1864          | 0.9774   |
-| 0.1419        | 3.0   | 195  | 0.1587          | 0.9774   |
-| 0.1658        | 4.0   | 260  | 0.1332          | 0.9699   |
-| 0.1767        | 5.0   | 325  | 0.1349          | 0.9699   |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 0.4885        | 1.0   | 65   | 0.9549   | 0.3982          |
+| 0.271         | 2.0   | 130  | 0.9774   | 0.1864          |
+| 0.1419        | 3.0   | 195  | 0.9774   | 0.1587          |
+| 0.1658        | 4.0   | 260  | 0.9699   | 0.1332          |
+| 0.1767        | 5.0   | 325  | 0.9699   | 0.1349          |
 
 
 ### Framework versions