PII Guard tagger (private, personal use)
Token classifier for Indian PII (16 types: NAME, ADDRESS, PHONE, EMAIL, UPI, AADHAAR, PAN, GSTIN, CARD, BANK_ACCT, PASSPORT, VOTER_ID, VEHICLE, DOB, IP, DL) in English, Hinglish and South Indian languages written in Latin script. Used with the rules + format checks in pii-guard.
Licence: fine-tuned from iiiorg/piiranha-v1-detect-personal-information (CC BY-NC-ND 4.0).
Non-commercial, personal use only; this derivative must not be shared or deployed commercially.
For commercial use, retrain from microsoft/deberta-v3-base (MIT) with the repo's pii.train --base.
- Training: 15,000 synthetic examples, 3 epochs, full fine-tune; best validation loss 0.0001
- Engine leak (PII characters left visible): 0.4β0.6% Ylemis India-PII, 2β5% Maskara, 0.3% own hand-written set
- Files:
model.safetensors(PyTorch),onnx/model.onnx(serving, identical output, ~9 ms on CPU)
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Model tree for lan1983/pii-guard-tagger
Base model
microsoft/mdeberta-v3-base