RoBERTaLexPT-base / README.md
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metadata
datasets:
  - eduagarcia/LegalPT
  - eduagarcia/brwac_dedup
  - eduagarcia/cc100-pt
  - eduagarcia/OSCAR-2301-pt_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

RoBERTaLexPT-base

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

Model Sources

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

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Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Metrics

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Results

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Summary

Citation

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