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Models/Unfreeze Glove ResNet 44

Unfreeze Glove ResNet 44

Reported on 14 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Natural Language Processing7 results

  • Text ClassificationonCivil Comments
    Micro F1· 2023-01-26
    0.5958
    SOTA
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • Text ClassificationonCivil Comments
    Precision· 2023-01-26
    0.4835
    SOTA
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • Text ClassificationonCivil Comments
    AUROC· 2023-01-26
    0.966
    best: 0.9818 (RoBERTa Focal Loss)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • Text ClassificationonCivil Comments
    GMB BPSN· 2023-01-26
    0.8493
    best: 0.901 (RoBERTa Focal Loss)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • Text ClassificationonCivil Comments
    GMB Subgroup· 2023-01-26
    0.8421
    best: 0.8807 (RoBERTa Focal Loss)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • Text ClassificationonCivil Comments
    Macro F1· 2023-01-26
    0.4648
    best: 0.4749 (RoBERTa BCE)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • Text ClassificationonCivil Comments
    Recall· 2023-01-26
    0.7759
    best: 0.9254 (XLNet)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125

Methodology7 results

  • ClassificationonCivil Comments
    Micro F1· 2023-01-26
    0.5958
    SOTA
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • ClassificationonCivil Comments
    Precision· 2023-01-26
    0.4835
    SOTA
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • ClassificationonCivil Comments
    AUROC· 2023-01-26
    0.966
    best: 0.9818 (RoBERTa Focal Loss)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • ClassificationonCivil Comments
    GMB BPSN· 2023-01-26
    0.8493
    best: 0.901 (RoBERTa Focal Loss)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • ClassificationonCivil Comments
    GMB Subgroup· 2023-01-26
    0.8421
    best: 0.8807 (RoBERTa Focal Loss)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • ClassificationonCivil Comments
    Macro F1· 2023-01-26
    0.4648
    best: 0.4749 (RoBERTa BCE)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125
  • ClassificationonCivil Comments
    Recall· 2023-01-26
    0.7759
    best: 0.9254 (XLNet)
    A benchmark for toxic comment classification on Civil Comments datasetarXiv:2301.11125