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
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Evaluation results