Update README.md

README.md

@@ -4,21 +4,21 @@ metrics:
 - accuracy
 - f1
 ---
-Returns with about 99% accuracy whether the face belongs to man or woman based on face image.
+Returns with about 99.2% accuracy whether the face belongs to man or woman based on face image.
 
 See https://www.kaggle.com/code/dima806/man-woman-face-image-detection-vit for more details.
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/2DMjXUFunRs57mI-U28Hy.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/jFvQNwdQhfI7e6zSXAQg1.png)
 
 ```
 Classification report:
 
               precision    recall  f1-score   support
 
-         man     0.9898    0.9908    0.9903      7071
-       woman     0.9908    0.9898    0.9903      7072
+         man     0.9919    0.9921    0.9920      7071
+       woman     0.9921    0.9919    0.9920      7072
 
-    accuracy                         0.9903     14143
-   macro avg     0.9903    0.9903    0.9903     14143
-weighted avg     0.9903    0.9903    0.9903     14143
+    accuracy                         0.9920     14143
+   macro avg     0.9920    0.9920    0.9920     14143
+weighted avg     0.9920    0.9920    0.9920     14143
 ```