| Feature | Description |
|---|---|
| Name | en_spacy_pii_distilbert |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<=3.8.2 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | Trained on a new dataset for structured PII generated by Privy. For more details, see this blog post |
| License | MIT |
| Author | Benjamin Kilimnik |
Label Scheme
View label scheme (5 labels for 1 components)
| Component | Labels |
|---|---|
ner |
DATE_TIME, LOC, NRP, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
95.42 |
ENTS_P |
95.30 |
ENTS_R |
95.54 |
TRANSFORMER_LOSS |
61154.85 |
NER_LOSS |
56001.88 |
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Dataset used to train beki/en_spacy_pii_distilbert
Spaces using beki/en_spacy_pii_distilbert 9
Evaluation results
- NER Precisionself-reported0.953
- NER Recallself-reported0.955
- NER F Scoreself-reported0.954