Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9849624060150376
+      value: 0.9774436090225563
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.0902
-- Accuracy: 0.9850
+- Loss: 0.1267
+- Accuracy: 0.9774
 
 ## Model description
 
@@ -64,7 +64,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0639        | 3.85  | 500  | 0.0902          | 0.9850   |
+| 0.0535        | 3.85  | 500  | 0.1267          | 0.9774   |
 
 
 ### Framework versions