|
--- |
|
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' |
|
datasets: |
|
- beki/privy |
|
--- |
|
| 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). 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` | 95.42 | |
|
| `ENTS_P` | 95.30 | |
|
| `ENTS_R` | 95.54 | |
|
| `TRANSFORMER_LOSS` | 61154.85 | |
|
| `NER_LOSS` | 56001.88 | |
