metadata
tags:
- spacy
- token-classification
language:
- ru
model-index:
- name: ru_patents_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.6187035922
- name: NER Recall
type: recall
value: 0.6062930187
- name: NER F Score
type: f_score
value: 0.612435439
| Feature | Description |
|---|---|
| Name | ru_patents_ner |
| Version | 1.0.0 |
| spaCy | >=3.8.5,<3.9.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 500002 keys, 500002 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ATTRIBUTE, COMPONENT, SYSTEM |
Accuracy
| Type | Score |
|---|---|
F1_MICRO |
61.24 |
F1_MACRO |
54.82 |
F1_WEIGHTED |
60.09 |
F1_COMPONENT |
67.20 |
F1_SYSTEM |
64.79 |
F1_ATTRIBUTE |
32.48 |
ENTS_P |
61.87 |
ENTS_R |
60.63 |
ENTS_F |
61.24 |
TRANSFORMER_LOSS |
144452.32 |
NER_LOSS |
222665.13 |