Feature | Description |
---|---|
Name | en_tech_model |
Version | 0.0.4 |
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 (32 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 |
Accuracy
Type | Score |
---|---|
ENTS_F |
95.18 |
ENTS_P |
95.31 |
ENTS_R |
95.04 |
CATS_SCORE |
99.51 |
CATS_MICRO_P |
99.52 |
CATS_MICRO_R |
99.52 |
CATS_MICRO_F |
99.52 |
CATS_MACRO_P |
99.55 |
CATS_MACRO_R |
99.48 |
CATS_MACRO_F |
99.51 |
CATS_MACRO_AUC |
100.00 |
TOK2VEC_LOSS |
1022799.22 |
NER_LOSS |
52929.76 |
TEXTCAT_LOSS |
4.84 |
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Evaluation results
- NER Precisionself-reported0.953
- NER Recallself-reported0.950
- NER F Scoreself-reported0.952