metadata
tags:
- spacy
- token-classification
language:
- pt
datasets:
- lener_br
model-index:
- name: pt_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7922651934
- name: NER Recall
type: recall
value: 0.7887788779
- name: NER F Score
type: f_score
value: 0.7905181918
| Feature | Description |
|---|---|
| Name | pt_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.4,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (6 labels for 1 components)
| Component | Labels |
|---|---|
ner |
JURISPRUDENCIA, LEGISLACAO, LOCAL, ORGANIZACAO, PESSOA, TEMPO |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
79.05 |
ENTS_P |
79.23 |
ENTS_R |
78.88 |
TOK2VEC_LOSS |
66943.07 |
NER_LOSS |
124326.31 |