readme: ---
  tags:
  - spacy
  - token-classification
  language:
  - en
  model-index:
  - name: en_spacy_pii_distilbert
    results:
    - task:
        name: NER
        type: token-classification
      metrics:
      - name: NER Precision
        type: precision
        value: 0.9530385872
      - name: NER Recall
        type: recall
        value: 0.9554103008
      - name: NER F Score
        type: f_score
        value: 0.9542229703
  widget:
  - text: "SELECT shipping FROM users WHERE shipping = '201 Thayer St Providence RI 02912'"
  
  ---
  | Feature | Description |
  | --- | --- |
  | **Name** | `en_spacy_pii_distilbert` |
  | **Version** | `0.0.0` |
  | **spaCy** | `>=3.4.1,<3.5.0` |
  | **Default Pipeline** | `transformer`, `ner` |
  | **Components** | `transformer`, `ner` |
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
  | **Sources** | Trained on a new [dataset for structured PII](https://huggingface.co/datasets/beki/privy) generated by [Privy](https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy) |
  | **License** | MIT |
  | **Author** | [Benjamin Kilimnik](https://www.linkedin.com/in/benkilimnik/) |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (5 labels for 1 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`ner`** | `DATE_TIME`, `LOC`, `NRP`, `ORG`, `PER` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `ENTS_F` | 95.42 |
  | `ENTS_P` | 95.30 |
  | `ENTS_R` | 95.54 |
  | `TRANSFORMER_LOSS` | 61154.85 |
  | `NER_LOSS` | 56001.88 |