metadata
license: mit
datasets:
- ai4privacy/open-pii-masking-500k-ai4privacy
language:
- en
tags:
- pii
- redaction
- anonymisation
- english
model-index:
- name: english-anonymiser-openpii-ai4privacy
results:
- task:
type: token-classification
name: PII Masking
dataset:
type: ai4privacy/open-pii-masking-500k-ai4privacy
name: Open PII Masking 500K
split: english-validation
metrics:
- type: f1
value: 0.9882
name: F1 Score
- type: precision
value: 0.9882
name: Precision
- type: recall
value: 0.9883
name: Recall
- type: accuracy
value: 0.9917
name: Accuracy
metrics:
- f1
- precision
- recall
library_name: transformers
pipeline_tag: token-classification
English Anonymiser OpenPII (Ai4Privacy)
This model is designed to redact Personally Identifiable Information (PII) from English text. It has been fine-tuned exclusively on the English subset of the open-pii-masking-500k-ai4privacy dataset.
Evaluation Metrics
The table below summarizes the detailed evaluation results per PII label:
| Label | TP | FP | FN | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|---|---|
| SURNAME | 3724 | 0 | 26 | 99.31% | 100.0% | 99.31% | 99.65% |
| O (Non-PII) | 0 | 368 | 0 | 99.36% | n/a | n/a | n/a |
| TIME | 1934 | 0 | 2 | 99.90% | 100.0% | 99.90% | 99.95% |
| DRIVERLICENSENUM | 505 | 0 | 2 | 99.61% | 100.0% | 99.61% | 99.80% |
| PASSPORTNUM | 566 | 0 | 0 | 100.0% | 100.0% | 100.0% | 100.0% |
| GIVENNAME | 7557 | 0 | 163 | 97.89% | 100.0% | 97.89% | 98.93% |
| TELEPHONENUM | 3637 | 0 | 4 | 99.89% | 100.0% | 99.89% | 99.95% |
| BUILDINGNUM | 418 | 0 | 8 | 98.12% | 100.0% | 98.12% | 99.05% |
| AGE | 164 | 0 | 5 | 97.04% | 100.0% | 97.04% | 98.50% |
| DATE | 2335 | 0 | 0 | 100.0% | 100.0% | 100.0% | 100.0% |
| CITY | 1717 | 0 | 85 | 95.28% | 100.0% | 95.28% | 97.58% |
| TITLE | 363 | 0 | 21 | 94.53% | 100.0% | 94.53% | 97.19% |
| IDCARDNUM | 2008 | 0 | 12 | 99.41% | 100.0% | 99.41% | 99.70% |
| GENDER | 120 | 0 | 1 | 99.17% | 100.0% | 99.17% | 99.59% |
| CREDITCARDNUMBER | 555 | 0 | 3 | 99.46% | 100.0% | 99.46% | 99.73% |
| SEX | 77 | 0 | 2 | 97.47% | 100.0% | 97.47% | 98.72% |
| STREET | 1379 | 0 | 8 | 99.42% | 100.0% | 99.42% | 99.71% |
| TAXNUM | 343 | 0 | 14 | 96.08% | 100.0% | 96.08% | 98.00% |
| 2607 | 0 | 1 | 99.96% | 100.0% | 99.96% | 99.98% | |
| SOCIALNUM | 421 | 0 | 1 | 99.76% | 100.0% | 99.76% | 99.88% |
| ZIPCODE | 418 | 0 | 8 | 98.12% | 100.0% | 98.12% | 99.05% |
Overall Evaluation:
Accuracy: 99.17%
Precision: 98.82%
Recall: 98.83%
F1 Score: 98.82%
Total True Positives (TP): 30,848
Total False Positives (FP): 368
Total False Negatives (FN): 366
Macro-Averaged Metrics:
- Accuracy: 98.56%
- Precision: 95.24%
- Recall: 93.83%
- F1 Score: 94.52%
Model Behavior & Limitations
- Evaluation Focus:
The metrics shown above reflect performance on the test split of the open-pii-masking-500k-ai4privacy dataset. Real-world performance may vary and requires additional measures. Feel free to contact support (at) ai4privacy.com
Disclaimer
This model card details the evaluation metrics and fine-tuning parameters for the English anonymiser. Please note:
- The model is provided as-is under the MIT License.
- It is intended solely for redaction purposes and does not perform full PII classification
- Users should carefully test and evaluate its performance on their own data before deploying in production environments.
Ai4Privacy – Committed to protecting personal data in the age of AI.