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/fastText

fastText

Reported on 9 benchmarks across 5 tasks · 3 papers

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

Natural Language Processing6 results

  • Text ClassificationonR8
    Accuracy· 2022-11-30
    96.13
    best: 98.451 (DeBERTa)
    Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world DatasetsarXiv:2211.16878
  • Sentence CompletiononHellaSwag
    Accuracy· 2019-05-19
    31.6
    best: 96.1 (CompassMTL 567M with Tailor)
    HellaSwag: Can a Machine Really Finish Your Sentence?arXiv:1905.07830
  • Text ClassificationonAG News
    Error· 2016-07-06
    7.5
    best: 4.45 (XLNet)
    Bag of Tricks for Efficient Text ClassificationarXiv:1607.01759
  • Cross-LingualonReddit Ideological and Extreme Bias Dataset
    weighted-F1 score
    73.44
    best: 79.1 (SVM)
  • Text ClassificationonThreatGram 101 - Extreme Telegram Data
    weighted-F1 score
    60.2
    best: 66.2 (GPT-2)
  • Cross-Lingual Document ClassificationonReddit Ideological and Extreme Bias Dataset
    weighted-F1 score
    73.44
    best: 79.1 (SVM)

Methodology3 results

  • ClassificationonR8
    Accuracy· 2022-11-30
    96.13
    best: 98.451 (DeBERTa)
    Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world DatasetsarXiv:2211.16878
  • ClassificationonAG News
    Error· 2016-07-06
    7.5
    best: 4.45 (XLNet)
    Bag of Tricks for Efficient Text ClassificationarXiv:1607.01759
  • ClassificationonThreatGram 101 - Extreme Telegram Data
    weighted-F1 score
    60.2
    best: 66.2 (GPT-2)