metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_ner_sender_recipient
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7942124225
- name: NER Recall
type: recall
value: 0.7429116388
- name: NER F Score
type: f_score
value: 0.767705961
Feature | Description |
---|---|
Name | en_ner_sender_recipient |
Version | 1.0.0 |
spaCy | >=3.5.0,<3.6.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (2 labels for 1 components)
Component | Labels |
---|---|
ner |
RECIPIENT , SENDER |
Accuracy
Type | Score |
---|---|
ENTS_F |
76.77 |
ENTS_P |
79.42 |
ENTS_R |
74.29 |
TOK2VEC_LOSS |
172291.20 |
NER_LOSS |
173143.05 |