Feature | Description |
---|---|
Name | en_generic |
Version | 0.0.3 |
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 (29 labels for 2 components)
Component | Labels |
---|---|
ner |
BRAND , COLOR , DISPLAY , GENDER , MATERIAL , MEMORY , MISC , MODEL_IDENTIFIER , PROCESSOR , PRODUCT_TYPE , SEASON , SIZE_MEASUREMENT , STYLE_FIT , TECH_FEATURE |
textcat |
292 , 325 , 328 , 297 , 4745 , 267 , 204 , 207 , 2331 , 211 , 212 , 6228 , 187 , 5598 , 2271 |
Accuracy
Type | Score |
---|---|
ENTS_F |
94.58 |
ENTS_P |
94.22 |
ENTS_R |
94.94 |
CATS_SCORE |
97.49 |
CATS_MICRO_P |
97.14 |
CATS_MICRO_R |
97.14 |
CATS_MICRO_F |
97.14 |
CATS_MACRO_P |
97.89 |
CATS_MACRO_R |
97.15 |
CATS_MACRO_F |
97.49 |
CATS_MACRO_AUC |
99.84 |
TOK2VEC_LOSS |
22259553.65 |
NER_LOSS |
723658.37 |
TEXTCAT_LOSS |
20.50 |
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Evaluation results
- NER Precisionself-reported0.942
- NER Recallself-reported0.949
- NER F Scoreself-reported0.946