TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ULMFiT

ULMFiT

Reported on 10 benchmarks across 4 tasks · 2 papers · 9 SOTA

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

Natural Language Processing7 results

  • Sentiment AnalysisonYelp Fine-grained classification
    Error· 2018-01-18
    29.98
    best: 27.05 (XLNet)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • Sentiment AnalysisonYelp Binary classification
    Error· 2018-01-18
    2.16
    best: 1.37 (XLNet)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • Sentiment AnalysisonIMDb
    Accuracy· 2018-01-18
    95.4
    best: 96.68 (RoBERTa-large with LlamBERT)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • Text ClassificationonTREC-6
    Error· 2018-01-18
    3.6
    best: 0.4 (Automatic Label Error Correction)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • Text ClassificationonDBpedia
    Error· 2018-01-18
    0.8
    best: 0.62 (XLNet)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • Text ClassificationonAG News
    Error· 2018-01-18
    5.01
    best: 4.45 (XLNet)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • Natural Language InferenceonFarsTail
    % Test Accuracy· 2020-09-18
    72.44
    best: 83.38 (mBERT)
    FarsTail: A Persian Natural Language Inference DatasetarXiv:2009.08820

Methodology3 results

  • ClassificationonTREC-6
    Error· 2018-01-18
    3.6
    best: 0.4 (Automatic Label Error Correction)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • ClassificationonDBpedia
    Error· 2018-01-18
    0.8
    best: 0.62 (XLNet)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146
  • ClassificationonAG News
    Error· 2018-01-18
    5.01
    best: 4.45 (XLNet)
    SOTA
    Universal Language Model Fine-tuning for Text ClassificationarXiv:1801.06146