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Models/Bert

Bert

Reported on 18 benchmarks across 7 tasks · 3 papers · 14 SOTA

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

Methodology10 results

  • Multi-Label Text ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    1:1 Accuracy· 2021-06-14
    0.80352
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • Multi-Label Text ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    F1 - macro· 2021-06-14
    0.20803
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • Multi-Label Text ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    Micro F1· 2021-06-14
    0.85431
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    1:1 Accuracy· 2021-06-14
    0.80352
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    F1 - macro· 2021-06-14
    0.20803
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    Micro F1· 2021-06-14
    0.85431
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • Stochastic OptimizationonAG News
    Accuracy (max)· 2020-11-16
    93.99
    SOTA
    Mixing ADAM and SGD: a Combined Optimization MethodarXiv:2011.08042
  • Stochastic OptimizationonAG News
    Accuracy (mean)· 2020-11-16
    93.86
    SOTA
    Mixing ADAM and SGD: a Combined Optimization MethodarXiv:2011.08042
  • Stochastic OptimizationonCoLA
    Accuracy (max)· 2020-11-16
    86.34
    SOTA
    Mixing ADAM and SGD: a Combined Optimization MethodarXiv:2011.08042
  • Stochastic OptimizationonCoLA
    Accuracy (mean)· 2020-11-16
    87.66
    SOTA
    Mixing ADAM and SGD: a Combined Optimization MethodarXiv:2011.08042

Natural Language Processing5 results

  • Text ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    1:1 Accuracy· 2021-06-14
    0.80352
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • Text ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    F1 - macro· 2021-06-14
    0.20803
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • Text ClassificationonDataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
    Micro F1· 2021-06-14
    0.85431
    SOTA
    Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of ChinaarXiv:2106.07544
  • Question AnsweringonSQuAD2.0
    EM
    80.422
    best: 90.939 (IE-Net (ensemble))
  • Question AnsweringonSQuAD2.0
    F1
    83.118
    best: 93.214 (IE-Net (ensemble))

Medical2 results

  • Document Text ClassificationonFood-101
    Accuracy (%)
    84.41
  • Document Text ClassificationonCUB-200-2011
    Accuracy
    65

Miscellaneous1 result

  • Food recommendationonOktoberfest Food Dataset
    10 fold Cross validation· 2016-07-29
    90
    SOTA
    Extracting Food Substitutes From Food Diary via Distributional SimilarityarXiv:1607.08807