metadata
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_tako_query_analyzer
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7170177384
- name: NER Recall
type: recall
value: 0.7172165234
- name: NER F Score
type: f_score
value: 0.7171171171
| Feature | Description |
|---|---|
| Name | en_tako_query_analyzer |
| Version | 0.0.1 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | tok2vec, ner, textcat |
| Components | tok2vec, ner, textcat |
| Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (33 labels for 2 components)
| Component | Labels |
|---|---|
ner |
CARDINAL, CUSTOM_ATTRIBUTE, CUSTOM_SEMANTIC_FUNCTION, CUSTOM_SPORTS_CONFERENCE, CUSTOM_SPORTS_LEAGUE, CUSTOM_SPORTS_ROLE, CUSTOM_STOCK_TICKER, CUSTOM_TEAM, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART |
textcat |
Business and Finance, Arts, Culture, and Entertainment, Crime, Sports, Politics, Science and Technology, Health and Wellness, Lifestyle and Fashion |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
71.71 |
ENTS_P |
71.70 |
ENTS_R |
71.72 |
CATS_SCORE |
70.53 |
CATS_MICRO_P |
85.89 |
CATS_MICRO_R |
85.89 |
CATS_MICRO_F |
85.89 |
CATS_MACRO_P |
74.89 |
CATS_MACRO_R |
67.56 |
CATS_MACRO_F |
70.53 |
CATS_MACRO_AUC |
93.04 |
TOK2VEC_LOSS |
61786.52 |
NER_LOSS |
46852.50 |
TEXTCAT_LOSS |
1.09 |