update model card README.md

README.md

@@ -1,8 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 datasets:
 - beans
@@ -23,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9924812030075187
+      value: 0.9849624060150376
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -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: 0.0818
-- Accuracy: 0.9925
+- Accuracy: 0.9850
+- Loss: 0.0826
 
 ## Model description
 
@@ -63,18 +61,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.254         | 1.0   | 130  | 0.2244          | 0.9624   |
-| 0.2885        | 2.0   | 260  | 0.1098          | 0.9925   |
-| 0.1555        | 3.0   | 390  | 0.1041          | 0.9850   |
-| 0.092         | 4.0   | 520  | 0.0818          | 0.9925   |
-| 0.1591        | 5.0   | 650  | 0.0826          | 0.9850   |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| 0.254         | 1.0   | 130  | 0.9624   | 0.2244          |
+| 0.2885        | 2.0   | 260  | 0.9925   | 0.1098          |
+| 0.1555        | 3.0   | 390  | 0.9850   | 0.1041          |
+| 0.092         | 4.0   | 520  | 0.9925   | 0.0818          |
+| 0.1591        | 5.0   | 650  | 0.9850   | 0.0826          |
 
 
 ### Framework versions
 
 - Transformers 4.29.0.dev0
-- Pytorch 1.13.1+cu117
+- Pytorch 2.0.0+cu117
 - Datasets 2.11.0
 - Tokenizers 0.13.3