Feature | Description |
---|---|
Name | en_tech |
Version | 0.0.7 |
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 |
BATTERY , BRAND , CACHE , CAM_RES , CHARGE , CLOCK_SPEED , COLOR , CORE_COUNT , FEATURE , GEN , GRAPHICS , GRAPHICS_RAM , MEM_TYPE , MODEL_NUMBER , OPERATING_SYSTEM , PROCESSOR , PROCESSOR_MODEL , PRODUCT_SERIES , RAM , RESOLUTION , SCREEN_SIZE , SCREEN_TYPE , SOCKET , STORAGE , STORAGE_TYPE , TAG , TYPE |
textcat |
267 , 292 , 297 , 325 , 328 , 4745 |
Accuracy
Type | Score |
---|---|
ENTS_F |
94.37 |
ENTS_P |
94.46 |
ENTS_R |
94.29 |
CATS_SCORE |
99.62 |
CATS_MICRO_P |
99.58 |
CATS_MICRO_R |
99.58 |
CATS_MICRO_F |
99.58 |
CATS_MACRO_P |
99.54 |
CATS_MACRO_R |
99.72 |
CATS_MACRO_F |
99.62 |
CATS_MACRO_AUC |
100.00 |
TOK2VEC_LOSS |
7666339.45 |
NER_LOSS |
135520.97 |
TEXTCAT_LOSS |
13.82 |
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Evaluation results
- NER Precisionself-reported0.945
- NER Recallself-reported0.943
- NER F Scoreself-reported0.944