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This model was trained to identify articles quoted in brazilian legal documents.
tags: - spacy - token-classification language: - pt model-index: - name: pt_pipeline results: - task: name: NER type: token-classification metrics: - name: NER Precision type: precision value: 0.4862058736 - name: NER Recall type: recall value: 0.8215538847 - name: NER F Score type: f_score value: 0.6108833395
| Feature | Description |
|---|---|
| Name | pt_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
ARTICLE |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
61.09 |
ENTS_P |
48.62 |
ENTS_R |
82.16 |
TOK2VEC_LOSS |
2327.02 |
NER_LOSS |
50668.25 |
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