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Models/ruRoberta-large finetune

ruRoberta-large 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
    0.83
    best: 0.941 (Golden Transformer)
  • Reading ComprehensiononMuSeRC
    EM
    0.561
    best: 0.819 (Golden Transformer)
  • Question AnsweringonDaNetQA
    Accuracy
    0.82
    best: 0.917 (Golden Transformer)
  • Common Sense ReasoningonRWSD
    Accuracy
    0.571
    best: 0.84 (Human Benchmark)
  • Common Sense ReasoningonPARus
    Accuracy
    0.508
    best: 0.982 (Human Benchmark)
  • Common Sense ReasoningonRuCoS
    Average F1
    0.73
    best: 0.93 (Human Benchmark)
  • Common Sense ReasoningonRuCoS
    EM
    0.716
    best: 0.924 (Golden Transformer)
  • Word Sense DisambiguationonRUSSE
    Accuracy
    0.715
    best: 0.805 (Human Benchmark)
  • Natural Language InferenceonRCB
    Accuracy
    0.518
    best: 0.702 (Human Benchmark)
  • Natural Language InferenceonRCB
    Average F1
    0.357
    best: 0.68 (Human Benchmark)
  • Natural Language InferenceonLiDiRus
    MCC
    0.339
    best: 0.626 (Human Benchmark)
  • Natural Language InferenceonTERRa
    Accuracy
    0.801
    best: 0.92 (Human Benchmark)