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Models/ULMFiT (Small data)

ULMFiT (Small data)

Reported on 12 benchmarks across 2 tasks · 1 paper

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

Natural Language Processing6 results

  • Text ClassificationonSogou News
    Accuracy· 2019-09-20
    97
    best: 98.07 (BERT-ITPT-FiT)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • Text ClassificationonDBpedia
    Error· 2019-09-20
    0.8
    best: 0.62 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • Text ClassificationonAmazon-5
    Error· 2019-09-20
    35.9
    best: 31.67 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • Text ClassificationonAG News
    Error· 2019-09-20
    6.3
    best: 4.45 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • Text ClassificationonYahoo! Answers
    Accuracy· 2019-09-20
    74.3
    best: 77.62 (BERT-ITPT-FiT)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • Text ClassificationonAmazon-2
    Error· 2019-09-20
    3.9
    best: 2.11 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389

Methodology6 results

  • ClassificationonSogou News
    Accuracy· 2019-09-20
    97
    best: 98.07 (BERT-ITPT-FiT)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • ClassificationonDBpedia
    Error· 2019-09-20
    0.8
    best: 0.62 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • ClassificationonAmazon-5
    Error· 2019-09-20
    35.9
    best: 31.67 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • ClassificationonAG News
    Error· 2019-09-20
    6.3
    best: 4.45 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • ClassificationonYahoo! Answers
    Accuracy· 2019-09-20
    74.3
    best: 77.62 (BERT-ITPT-FiT)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389
  • ClassificationonAmazon-2
    Error· 2019-09-20
    3.9
    best: 2.11 (XLNet)
    Sampling Bias in Deep Active Classification: An Empirical StudyarXiv:1909.09389