metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_tako_query_filter
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0
- name: NER Recall
type: recall
value: 0
- name: NER F Score
type: f_score
value: 0
| Feature | Description |
|---|---|
| Name | en_tako_query_filter |
| Version | 0.0.2 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | tok2vec, ner, textcat_classify |
| Components | tok2vec, ner, textcat_classify |
| Vectors | 514157 keys, 514157 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (21 labels for 2 components)
| Component | Labels |
|---|---|
ner |
CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, STOCK_TICKER, TIME, WORK_OF_ART |
textcat_classify |
ACCEPT, REJECT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
0.00 |
ENTS_P |
0.00 |
ENTS_R |
0.00 |
ENTS_PER_TYPE |
0.00 |
CATS_SCORE |
85.07 |
CATS_MICRO_P |
85.31 |
CATS_MICRO_R |
85.31 |
CATS_MICRO_F |
85.31 |
CATS_MACRO_P |
85.35 |
CATS_MACRO_R |
85.31 |
CATS_MACRO_F |
85.31 |
CATS_MACRO_AUC |
91.67 |
TEXTCAT_CLASSIFY_LOSS |
94.04 |