metadata
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_generic
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9421775682
- name: NER Recall
type: recall
value: 0.9493801653
- name: NER F Score
type: f_score
value: 0.9457651539
| 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 |