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Models/XLM-RoBERTa

XLM-RoBERTa

Reported on 6 benchmarks across 6 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing9 results

  • Reading ComprehensiononUQuAD
    Exact Match· 2021-11-02
    0.36
    SOTA
    UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading ComprehensionarXiv:2111.01543
  • Visual Question Answering (VQA)onUQuAD
    Exact Match· 2021-11-02
    0.36
    SOTA
    UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading ComprehensionarXiv:2111.01543
  • Abuse DetectiononHopeEDI
    Weighted Average F1-score
    0.6
    best: 0.93 (RoBERTa)
  • Abuse DetectiononHopeEDI
    Weighted Average F1-score
    0.87
    best: 0.93 (RoBERTa)
  • Named Entity Recognition (NER)onIECSIL FIRE-2018 Shared Task
    Average F1
    90.8419
  • Hate Speech DetectiononHopeEDI
    Weighted Average F1-score
    0.6
    best: 0.93 (RoBERTa)
  • Hate Speech DetectiononHopeEDI
    Weighted Average F1-score
    0.87
    best: 0.93 (RoBERTa)
  • Hope Speech DetectiononHopeEDI
    Weighted Average F1-score
    0.6
    best: 0.93 (RoBERTa)
  • Hope Speech DetectiononHopeEDI
    Weighted Average F1-score
    0.87
    best: 0.93 (RoBERTa)