Classification Report for Telugu PII Detection
Model: FacebookAI/roberta-base
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                precision    recall  f1-score   support

           AGE       0.95      0.99      0.97       191
BUILDINGNUMBER       0.98      0.99      0.98       225
          CITY       0.88      0.91      0.90       375
    CREDITCARD       0.97      1.00      0.98        62
          DATE       1.00      1.00      1.00       300
         EMAIL       1.00      1.00      1.00       231
     FIRSTNAME       0.92      0.93      0.93      2467
        GENDER       0.97      1.00      0.99       148
      LASTNAME       0.90      0.86      0.88      1396
  MASKEDNUMBER       0.97      0.58      0.73       185
         PHONE       0.99      1.00      0.99       395
        PREFIX       1.00      1.00      1.00       215
           SSN       0.82      0.97      0.89       386
        STREET       0.94      0.94      0.94       256
          TIME       1.00      1.00      1.00       471
       ZIPCODE       1.00      0.98      0.99       142

     micro avg       0.93      0.93      0.93      7445
     macro avg       0.96      0.95      0.95      7445
  weighted avg       0.94      0.93      0.93      7445