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ner_spacy_pt_artigos
gmsarti/ner_spacy_pt_artigos
ner_spacy_pt_artigos is a machine learning model from gmsarti. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model was trained to identify articles quoted in brazilian legal documents.
Access
Public
Updated Oct 2, 2023
Repo size
1.2 GB
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0
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Repo makeup
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Other642 MB · 52%
At a glance
- Access
- Public
- Created
- Oct 2, 2023
- Updated
- Oct 2, 2023
- SHA
- 6efe1178
Model card
From the Hugging Face model README
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
- task:
name: NER
type: token-classification
metrics:
| 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
<details> <summary>View label scheme (1 labels for 1 components)</summary>| 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 |
- Created
- Oct 2, 2023
- Updated
- Oct 2, 2023