Model can Detect Following Entity Group

ACCOUNTNUMBER
FIRSTNAME
ACCOUNTNAME
PHONENUMBER
CREDITCARDCVV
CREDITCARDISSUER
PREFIX
LASTNAME
AMOUNT
DATE
DOB
COMPANYNAME
BUILDINGNUMBER
STREET
SECONDARYADDRESS
STATE
EMAIL
CITY
CREDITCARDNUMBER
SSN
URL
USERNAME
PASSWORD
COUNTY
PIN
MIDDLENAME
IBAN
GENDER
AGE
ZIPCODE
SEX

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

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Safetensors

Model size

109M params

Tensor type

F32

Inference Examples

Token Classification

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Model tree for ankitcodes/pii_model

Base model

google-bert/bert-base-cased

Finetuned

(2001)

this model

Evaluation results

Precision on generator
self-reported

0.955
Recall on generator
self-reported

0.965
F1 on generator
self-reported

0.960
Accuracy on generator
self-reported

0.991

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