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
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
|
85.78
|
ENTS_P
|
86.82
|
ENTS_R
|
84.75
|
TOK2VEC_LOSS
|
83709.83
|
NER_LOSS
|
147916.24
|