---
language:
- pl
license: mit
tags:
- token-classification
- named-entity-recognition
- polish
- anonymization
- privacy
- gdpr
datasets:
- custom
metrics:
- f1
- precision
- recall
base_model: allegro/herbert-base-cased
model-index:
- name: AnonBERT-ENR
  results:
  - task:
      type: token-classification
      name: Named Entity Recognition
    metrics:
    - type: f1
      value: 0.84
      name: F1 Score

widget:
- text: "Nazywam się Jan Kowalski i mieszkam w Warszawie przy ulicy Marszałkowskiej 1. Mój email to jan.kowalski@example.com, a numer telefonu +48 123 456 789."
  example_title: "Personal Data Example"
- text: "PESEL: 12345678901, dowód osobisty: ABC123456. Data urodzenia: 1990-05-20."
  example_title: "ID Numbers Example"
---

# AnonBERT-ENR: Polish Personal Data Anonymization Model

**Fine-tuned HerBERT model for Named Entity Recognition and anonymization of sensitive personal information in Polish text.**

> Achieves **84% F1 score** on test set for identifying and anonymizing 25+ types of personal data entities.

## Model Description

AnonBERT-ENR is a specialized NER model fine-tuned on [allegro/herbert-base-cased](https://huggingface.co/allegro/herbert-base-cased) for detecting and anonymizing personal data in Polish documents. The model is designed to help organizations comply with GDPR and other privacy regulations by automatically identifying sensitive information.

### Key Features

- ✅ **High Accuracy**: 84% F1 score on diverse test data
- 🇵🇱 **Polish Language**: Optimized for Polish text and naming conventions
- 🔒 **Privacy-Focused**: Detects 25+ types of sensitive personal information
- 🚀 **Production Ready**: Includes complete anonymization pipeline
- 📊 **Comprehensive Coverage**: Names, IDs, contact info, health data, political views, and more

## Supported Entity Types

The model can identify the following types of personal information:

| Entity Type | Description | Example |
|------------|-------------|---------|
| `NAME` | First name | Jan |
| `SURNAME` | Last name | Kowalski |
| `EMAIL` | Email address | jan@example.pl |
| `PHONE` | Phone number | +48 123 456 789 |
| `PESEL` | National ID number | 12345678901 |
| `DOCUMENT` | ID document number | ABC123456 |
| `ADDRESS` | Street address | ul. Marszałkowska 1 |
| `CITY` | City name | Warszawa |
| `BANK_ACCOUNT` | Bank account number | PL61109010140000071219812874 |
| `CREDIT_CARD` | Credit card number | 1234-5678-9012-3456 |
| `DATE_BIRTH` | Date of birth | 1990-05-20 |
| `DATE` | General date | 2024-01-15 |
| `AGE` | Age | 25 lat |
| `SEX` | Gender/sex | Mężczyzna, Kobieta |
| `COMPANY` | Company name | Allegro |
| `SCHOOL` | School name | Uniwersytet Warszawski |
| `JOB` | Job title | Dyrektor |
| `USERNAME` | Username/login | jan.kowalski |
| `HEALTH` | Health information | cukrzyca |
| `RELIGION` | Religious affiliation | katolik |
| `POLITICAL` | Political views | liberalny |
| `ETHNICITY` | Ethnicity | polska |
| `ORIENTATION` | Sexual orientation | heteroseksualny |
| `RELATIVE` | Family relation | matka |
| `SECRET` | Secret/confidential info | hasło: abc123 |