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--- |
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tags: |
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- spacy |
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- token-classification |
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language: |
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- en |
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model-index: |
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- name: en_spacy_pii_fast |
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results: |
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- task: |
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name: NER |
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type: token-classification |
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metrics: |
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- name: NER Precision |
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type: precision |
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value: 0.8682266815 |
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- name: NER Recall |
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type: recall |
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value: 0.8475264792 |
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- name: NER F Score |
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type: f_score |
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value: 0.8577517086 |
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widget: |
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- text: "SELECT shipping FROM users WHERE shipping = '201 Thayer St Providence RI 02912'" |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_spacy_pii_fast` | |
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| **Version** | `0.0.0` | |
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| **spaCy** | `>=3.4.1,<3.5.0` | |
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| **Default Pipeline** | `tok2vec`, `ner` | |
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| **Components** | `tok2vec`, `ner` | |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | |
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| **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/) | |
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| **License** | MIT | |
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| **Author** | [Benjamin Kilimnik](https://www.linkedin.com/in/benkilimnik/) | |
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### Label Scheme |
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<details> |
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<summary>View label scheme (5 labels for 1 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `DATE_TIME`, `LOC`, `NRP`, `ORG`, `PER` | |
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</details> |
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### Accuracy |
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| Type | Score | |
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| --- | --- | |
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| `ENTS_F` | 85.78 | |
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| `ENTS_P` | 86.82 | |
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| `ENTS_R` | 84.75 | |
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| `TOK2VEC_LOSS` | 83709.83 | |
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| `NER_LOSS` | 147916.24 | |
