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---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_spacy_pii_fast
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8682266815
- name: NER Recall
type: recall
value: 0.8475264792
- name: NER F Score
type: f_score
value: 0.8577517086
widget:
- text: "SELECT shipping FROM users WHERE shipping = '201 Thayer St Providence RI 02912'"
---
| Feature | Description |
| --- | --- |
| **Name** | `en_spacy_pii_fast` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.4.1,<3.5.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `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). For more details, see this [blog post](https://blog.px.dev/detect-pii/) |
| **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` | 85.78 |
| `ENTS_P` | 86.82 |
| `ENTS_R` | 84.75 |
| `TOK2VEC_LOSS` | 83709.83 |
| `NER_LOSS` | 147916.24 | |