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Models/24hBERT

24hBERT

Reported on 7 benchmarks across 5 tasks · 1 paper · 1 SOTA

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

Natural Language Processing7 results

  • Question AnsweringonQuora Question Pairs
    Accuracy· 2021-04-15
    70.7
    best: 90.54 (MFAE)
    SOTA
    How to Train BERT with an Academic BudgetarXiv:2104.07705
  • Natural Language InferenceonQNLI
    Accuracy· 2021-04-15
    90.6
    best: 94.5 (PSQ (Chen et al., 2020))
    How to Train BERT with an Academic BudgetarXiv:2104.07705
  • Natural Language InferenceonMultiNLI
    Matched· 2021-04-15
    84.4
    best: 92.6 (Turing NLR v5 XXL 5.4B (fine-tuned))
    How to Train BERT with an Academic BudgetarXiv:2104.07705
  • Natural Language InferenceonMultiNLI
    Mismatched· 2021-04-15
    83.8
    best: 92.4 (Turing NLR v5 XXL 5.4B (fine-tuned))
    How to Train BERT with an Academic BudgetarXiv:2104.07705
  • Semantic Textual SimilarityonSTS Benchmark
    Pearson Correlation· 2021-04-15
    0.82
    best: 0.929 (MT-DNN-SMART)
    How to Train BERT with an Academic BudgetarXiv:2104.07705
  • Sentiment AnalysisonSST-2 Binary classification
    Accuracy· 2021-04-15
    93
    best: 97.5 (T5-11B)
    How to Train BERT with an Academic BudgetarXiv:2104.07705
  • Linguistic AcceptabilityonCoLA
    Accuracy· 2021-04-15
    57.1
    best: 82.7 (LTG-BERT-base 98M)
    How to Train BERT with an Academic BudgetarXiv:2104.07705