README.md · ankitcodes/pii

metadata

license: apache-2.0
base_model: bert-base-cased
tags:
  - PII
  - NER
  - Bert
  - Token Classification
datasets:
  - generator
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: pii_model
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: generator
          type: generator
          config: default
          split: train
          args: default
        metrics:
          - name: Precision
            type: precision
            value: 0.954751
          - name: Recall
            type: recall
            value: 0.965233
          - name: F1
            type: f1
            value: 0.959964
          - name: Accuracy
            type: accuracy
            value: 0.991199
pipeline_tag: token-classification
language:
  - en

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