Update README.md

README.md

@@ -10,28 +10,28 @@ library_name: transformers
 datasets:
 - nateraw/fairface
 ---
-Detects age group with about 54% accuracy based on an image.
+Detects age group with about 58% accuracy based on an image.
 
 See https://www.kaggle.com/code/dima806/age-group-image-classification-vit for details.
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/t7CULANhb4ZcnhdcrE6FG.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/gGIe3NGwSD8hkcOrqV8pM.png)
 
 ```
 Classification report:
 
               precision    recall  f1-score   support
 
-         0-2     0.0000    0.0000    0.0000       180
-         3-9     0.6799    0.8623    0.7603      1249
-       10-19     0.4928    0.2201    0.3043      1086
-       20-29     0.5780    0.7852    0.6658      3026
-       30-39     0.4461    0.4202    0.4328      2099
-       40-49     0.4589    0.3740    0.4121      1238
-       50-59     0.4213    0.4800    0.4487       725
-       60-69     0.0000    0.0000    0.0000       286
+         0-2     0.8345    0.6444    0.7273       180
+         3-9     0.7698    0.8327    0.8000      1249
+       10-19     0.5395    0.3462    0.4218      1086
+       20-29     0.6201    0.7548    0.6809      3026
+       30-39     0.4790    0.4774    0.4782      2099
+       40-49     0.4826    0.4031    0.4393      1238
+       50-59     0.4899    0.5021    0.4959       725
+       60-69     0.4215    0.3846    0.4022       286
 more than 70     0.0000    0.0000    0.0000       111
 
-    accuracy                         0.5385     10000
-   macro avg     0.3419    0.3491    0.3360     10000
-weighted avg     0.4943    0.5385    0.5039     10000
+    accuracy                         0.5791     10000
+   macro avg     0.5152    0.4828    0.4939     10000
+weighted avg     0.5653    0.5791    0.5671     10000
 ```