Feature | Description |
---|---|
Name | en_generic_big |
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 (35 labels for 2 components)
Component | Labels |
---|---|
ner |
AGE , BRAND , CLOCK_SPEED , COLOR , CORE_COUNT , DECORATION , FEATURE , FIT , GENDER , GRAPHICS , GRAPHICS_RAM , MATERIAL , MEASUREMENT , MEASUREMENT_AREA , MEM_TYPE , MODEL_NUMBER , NECKLINE , OPERATING_SYSTEM , PROCESSOR , PROCESSOR_MODEL , PRODUCT_SERIES , RAM , RESOLUTION , SCREEN_SIZE , SCREEN_TYPE , SIZE , SLEEVE , STORAGE , STORAGE_TYPE , TAG , TYPE , ZIP |
textcat |
212 , 297 , 328 |
Accuracy
Type | Score |
---|---|
ENTS_F |
94.35 |
ENTS_P |
94.70 |
ENTS_R |
94.00 |
CATS_SCORE |
100.00 |
CATS_MICRO_P |
100.00 |
CATS_MICRO_R |
100.00 |
CATS_MICRO_F |
100.00 |
CATS_MACRO_P |
100.00 |
CATS_MACRO_R |
100.00 |
CATS_MACRO_F |
100.00 |
CATS_MACRO_AUC |
100.00 |
TOK2VEC_LOSS |
28927.81 |
NER_LOSS |
63903.29 |
TEXTCAT_LOSS |
0.08 |
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Evaluation results
- NER Precisionself-reported0.947
- NER Recallself-reported0.940
- NER F Scoreself-reported0.943