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: 0.0769
 - Accuracy: 0.9850
+- Loss: 0.0769
 
 ## Model description
 
@@ -63,18 +61,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2572        | 1.0   | 130  | 0.2294          | 0.9624   |
-| 0.1531        | 2.0   | 260  | 0.1501          | 0.9699   |
-| 0.0817        | 3.0   | 390  | 0.0896          | 0.9850   |
-| 0.1444        | 4.0   | 520  | 0.0833          | 0.9850   |
-| 0.1576        | 5.0   | 650  | 0.0769          | 0.9850   |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 0.2572        | 1.0   | 130  | 0.9624   | 0.2294          |
+| 0.1531        | 2.0   | 260  | 0.9699   | 0.1501          |
+| 0.0817        | 3.0   | 390  | 0.9850   | 0.0896          |
+| 0.1444        | 4.0   | 520  | 0.9850   | 0.0833          |
+| 0.1576        | 5.0   | 650  | 0.9850   | 0.0769          |
 
 
 ### Framework versions
 
 - Transformers 4.25.0.dev0
 - Pytorch 1.7.1+cu110
-- Datasets 2.7.1
+- Datasets 2.4.0
 - Tokenizers 0.13.2