metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9952305246
- name: NER Recall
type: recall
value: 0.9984051037
- name: NER F Score
type: f_score
value: 0.9968152866
Feature | Description |
---|---|
Name | en_pipeline |
Version | 0.0.0 |
spaCy | >=3.4.4,<3.5.0 |
Default Pipeline | tok2vec , ner |
Components | tok2vec , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (9 labels for 1 components)
Component | Labels |
---|---|
ner |
AGENT , ASSET , ASSET STATE , DATE , DETERMINAND , FLOW LEVEL , MEASUREMENT , OPERATION , PROCCESS |
Accuracy
Type | Score |
---|---|
ENTS_F |
99.68 |
ENTS_P |
99.52 |
ENTS_R |
99.84 |
TOK2VEC_LOSS |
21054.32 |
NER_LOSS |
27455.52 |