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Models/BERT-large

BERT-large

Reported on 13 benchmarks across 6 tasks · 3 papers · 1 SOTA

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

Natural Language Processing16 results

  • Common Sense ReasoningonViComTe-color
    Spearman's Rho· 2022-05-04
    37.6
    best: 49.6 (Z-LaVI (GPT-J-6B))
    SOTA
    Visual Commonsense in Pretrained Unimodal and Multimodal ModelsarXiv:2205.01850
  • Reading ComprehensiononReClor
    Test· 2020-02-11
    49.8
    best: 80.6 (Rational Reasoner / IDOL)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Reading ComprehensiononReClor
    Accuracy· 2020-02-11
    49.8
    best: 56 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Reading ComprehensiononReClor
    Accuracy (easy)· 2020-02-11
    72
    best: 75.7 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Reading ComprehensiononReClor
    Accuracy (hard)· 2020-02-11
    32.3
    best: 40.5 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Question AnsweringonReClor
    Accuracy· 2020-02-11
    49.8
    best: 56 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Question AnsweringonReClor
    Accuracy (easy)· 2020-02-11
    72
    best: 75.7 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Question AnsweringonReClor
    Accuracy (hard)· 2020-02-11
    32.3
    best: 40.5 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Question AnsweringonReClor
    Accuracy· 2020-02-11
    49.8
    best: 56 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Question AnsweringonReClor
    Accuracy (easy)· 2020-02-11
    72
    best: 75.7 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Question AnsweringonReClor
    Accuracy (hard)· 2020-02-11
    32.3
    best: 40.5 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Visual Question Answering (VQA)onReClor
    Accuracy· 2020-02-11
    49.8
    best: 56 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Visual Question Answering (VQA)onReClor
    Accuracy (easy)· 2020-02-11
    72
    best: 75.7 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Visual Question Answering (VQA)onReClor
    Accuracy (hard)· 2020-02-11
    32.3
    best: 40.5 (XLNet-large)
    ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326
  • Coreference ResolutiononOntoNotes
    F1· 2019-08-24
    76.9
    best: 83.6 (Maverick_mes)
    BERT for Coreference Resolution: Baselines and AnalysisarXiv:1908.09091
  • Sentence CompletiononHONEST
    HONEST
    3.33