---
datasets:
- eduagarcia/LegalPT
- eduagarcia/cc100-pt
- eduagarcia/OSCAR-2301-pt_dedup
- eduagarcia/brwac_dedup
language:
- pt
pipeline_tag: fill-mask
tags:
- legal
model-index:
- name: RoBERTaLexPT-base
  results:
  - task:
      type: token-classification
    dataset:
      type: eduagarcia/portuguese_benchmark
      name: LeNER
      config: LeNER-Br
      split: test
    metrics:
    - type: seqeval
      value: 90.73
      name: Mean F1
      args:
        scheme: IOB2
  - task:
      type: token-classification
    dataset:
      type: eduagarcia/portuguese_benchmark
      name: UlyNER-PL Coarse
      config: UlyssesNER-Br-PL-coarse
      split: test
    metrics:
    - type: seqeval
      value: 88.56
      name: Mean F1
      args:
        scheme: IOB2
  - task:
      type: token-classification
    dataset:
      type: eduagarcia/portuguese_benchmark
      name: UlyNER-PL Fine
      config: UlyssesNER-Br-PL-fine
      split: test
    metrics:
    - type: seqeval
      value: 86.03
      name: Mean F1
      args:
        scheme: IOB2
license: cc-by-4.0
metrics:
- seqeval
---
# RoBERTaLexPT-base

<!-- Provide a quick summary of what the model is/does. -->

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

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- **Funded by:** [More Information Needed]
- **Language(s) (NLP):** Brazilian Portuguese (pt-BR)
- **License:** [Creative Commons Attribution 4.0 International Public License](https://creativecommons.org/licenses/by/4.0/deed.en)

### Model Sources

- **Repository:** https://github.com/eduagarcia/roberta-legal-portuguese
- **Paper:** [More Information Needed]

## Training Details

### Training Data

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[More Information Needed]

### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->


## Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

### Testing Data, Factors & Metrics

#### Testing Data

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[More Information Needed]

#### Metrics

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### Results

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#### Summary


## Citation

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