Update README.md

README.md

@@ -8,28 +8,28 @@ base_model:
 pipeline_tag: image-classification
 library_name: transformers
 ---
-Detects age group with about 18% accuracy based on an image.
+Detects age group with about 54% 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/sG1GZFgo5TlzzFqal5obl.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/t7CULANhb4ZcnhdcrE6FG.png)
 
 ```
 Classification report:
 
               precision    recall  f1-score   support
 
-         0-2     0.0000    0.0000    0.0000         0
-         3-9     0.1667    0.2500    0.2000         8
-       10-19     0.1667    0.0769    0.1053        13
-       20-29     0.4000    0.3243    0.3582        37
-       30-39     0.0000    0.0000    0.0000        18
-       40-49     0.0000    0.0000    0.0000        13
-       50-59     0.1579    0.5000    0.2400         6
-       60-69     0.0000    0.0000    0.0000         3
-more than 70     0.0000    0.0000    0.0000         2
+         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
+more than 70     0.0000    0.0000    0.0000       111
 
-    accuracy                         0.1800       100
-   macro avg     0.0990    0.1279    0.1004       100
-weighted avg     0.1925    0.1800    0.1766       100
+    accuracy                         0.5385     10000
+   macro avg     0.3419    0.3491    0.3360     10000
+weighted avg     0.4943    0.5385    0.5039     10000
 ```