metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_fetch_ner_spacy_tsf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9090909091
- name: NER Recall
type: recall
value: 0.9210526316
- name: NER F Score
type: f_score
value: 0.9150326797
Feature | Description |
---|---|
Name | en_fetch_ner_spacy_tsf |
Version | 0.0.0 |
spaCy | >=3.6.1,<3.7.0 |
Default Pipeline | transformer , ner |
Components | transformer , ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | n/a |
Author | n/a |
Label Scheme
View label scheme (2 labels for 1 components)
Component | Labels |
---|---|
ner |
BRAND , RETAILER |
Accuracy
Type | Score |
---|---|
ENTS_F |
91.50 |
ENTS_P |
90.91 |
ENTS_R |
92.11 |
TRANSFORMER_LOSS |
0.00 |
NER_LOSS |
3789.17 |