Classification Report for Telugu PII Detection Model: microsoft/deberta-v3-small ============================================================ precision recall f1-score support AGE 0.95 0.97 0.96 191 BUILDINGNUMBER 0.97 0.99 0.98 225 CITY 0.89 0.90 0.90 375 CREDITCARD 0.98 1.00 0.99 62 DATE 1.00 1.00 1.00 300 EMAIL 1.00 1.00 1.00 232 FIRSTNAME 0.92 0.94 0.93 2468 GENDER 0.96 1.00 0.98 148 LASTNAME 0.90 0.87 0.88 1396 MASKEDNUMBER 0.97 0.57 0.72 186 PHONE 0.97 0.99 0.98 398 PREFIX 1.00 1.00 1.00 215 SSN 0.82 0.97 0.89 388 STREET 0.94 0.92 0.93 256 TIME 1.00 1.00 1.00 471 ZIPCODE 1.00 0.98 0.99 142 micro avg 0.93 0.93 0.93 7453 macro avg 0.96 0.94 0.95 7453 weighted avg 0.93 0.93 0.93 7453