metadata
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_generic_big
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9469753547
- name: NER Recall
type: recall
value: 0.9399555226
- name: NER F Score
type: f_score
value: 0.943452381
| 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 |