metadata
tags:
- spacy
- token-classification
language:
- pt
model-index:
- name: pt_core_news_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9274830806
- name: NER Recall
type: recall
value: 0.9293805645
- name: NER F Score
type: f_score
value: 0.9284308531
| Feature | Description |
|---|---|
| Name | pt_core_news_trf |
| Version | 3.4.0 |
| spaCy | >=3.4.3,<3.5.0 |
| 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 (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, MISC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
92.84 |
ENTS_P |
92.75 |
ENTS_R |
92.94 |
TRANSFORMER_LOSS |
330558.41 |
NER_LOSS |
422753.88 |