Update README.md

README.md

@@ -6,21 +6,21 @@ metrics:
 base_model:
 - google/vit-base-patch16-224-in21k
 ---
-Returns with about 98.6% accuracy whether the face belongs to man or woman based on face image.
+Returns with about 98.7% 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/QUMfzNPpEgDlpUpVTQQYW.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/t9MgehgAAZEJAXOebhfjO.png)
 
 ```
 Classification report:
 
               precision    recall  f1-score   support
 
-         man     0.9880    0.9835    0.9858     51062
-       woman     0.9836    0.9881    0.9858     51062
+         man     0.9885    0.9857    0.9871     51062
+       woman     0.9857    0.9885    0.9871     51062
 
-    accuracy                         0.9858    102124
-   macro avg     0.9858    0.9858    0.9858    102124
-weighted avg     0.9858    0.9858    0.9858    102124
+    accuracy                         0.9871    102124
+   macro avg     0.9871    0.9871    0.9871    102124
+weighted avg     0.9871    0.9871    0.9871    102124
 ```