metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_kyc_nerre_tok2vec
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.5365853659
- name: NER Recall
type: recall
value: 0.5
- name: NER F Score
type: f_score
value: 0.5176470588
Feature | Description |
---|---|
Name | en_kyc_nerre_tok2vec |
Version | 0.0.0 |
spaCy | >=3.6.1,<3.7.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 514157 keys, 20000 unique vectors (300 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
Component | Labels |
---|---|
ner |
CRIME , PERSON , PROCECUTION |
Accuracy
Type | Score |
---|---|
ENTS_F |
51.76 |
ENTS_P |
53.66 |
ENTS_R |
50.00 |
TOK2VEC_LOSS |
25409.45 |
NER_LOSS |
25821.48 |