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Models/ruT5-base-finetune

ruT5-base-finetune

Reported on 12 benchmarks across 5 tasks

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

Natural Language Processing12 results

  • Reading ComprehensiononMuSeRC
    Average F1
    0.769
    best: 0.941 (Golden Transformer)
  • Reading ComprehensiononMuSeRC
    EM
    0.446
    best: 0.819 (Golden Transformer)
  • Question AnsweringonDaNetQA
    Accuracy
    0.732
    best: 0.917 (Golden Transformer)
  • Common Sense ReasoningonRWSD
    Accuracy
    0.669
    best: 0.84 (Human Benchmark)
  • Common Sense ReasoningonPARus
    Accuracy
    0.554
    best: 0.982 (Human Benchmark)
  • Common Sense ReasoningonRuCoS
    Average F1
    0.79
    best: 0.93 (Human Benchmark)
  • Common Sense ReasoningonRuCoS
    EM
    0.752
    best: 0.924 (Golden Transformer)
  • Word Sense DisambiguationonRUSSE
    Accuracy
    0.682
    best: 0.805 (Human Benchmark)
  • Natural Language InferenceonRCB
    Accuracy
    0.468
    best: 0.702 (Human Benchmark)
  • Natural Language InferenceonRCB
    Average F1
    0.307
    best: 0.68 (Human Benchmark)
  • Natural Language InferenceonLiDiRus
    MCC
    0.267
    best: 0.626 (Human Benchmark)
  • Natural Language InferenceonTERRa
    Accuracy
    0.692
    best: 0.92 (Human Benchmark)