| --- |
| 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 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
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| ## Model can Detect Following Entity Group |
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| - 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 |
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| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
