metadata
tags:
- spacy
- token-classification
language:
- ru
model-index:
- name: ru_patents_ner_tiny
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.574707932
- name: NER Recall
type: recall
value: 0.551425762
- name: NER F Score
type: f_score
value: 0.5628261742
| Feature | Description |
|---|---|
| Name | ru_patents_ner_tiny |
| Version | 1.0.0 |
| spaCy | >=3.8.5,<3.9.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 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 |
56.28 |
F1_MACRO |
47.31 |
F1_WEIGHTED |
54.85 |
F1_COMPONENT |
62.57 |
F1_SYSTEM |
51.35 |
F1_ATTRIBUTE |
28.00 |
ENTS_P |
57.47 |
ENTS_R |
55.14 |
ENTS_F |
56.28 |
TRANSFORMER_LOSS |
327438.36 |
NER_LOSS |
528888.28 |