Model save

README.md

@@ -2,7 +2,6 @@
 license: apache-2.0
 base_model: google/vit-base-patch16-224-in21k
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - cats_vs_dogs
@@ -23,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.99
+      value: 0.995
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +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 cats_vs_dogs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0478
-- Accuracy: 0.99
+- Loss: 0.0129
+- Accuracy: 0.995
 
 ## Model description
 
@@ -65,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0281        | 2.0   | 100  | 0.0578          | 0.985    |
-| 0.0042        | 4.0   | 200  | 0.0478          | 0.99     |
+| 0.0333        | 2.0   | 100  | 0.0633          | 0.985    |
+| 0.0039        | 4.0   | 200  | 0.0129          | 0.995    |
 
 
 ### Framework versions