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Models/ConvBERT-DG + Pre + Multi

ConvBERT-DG + Pre + Multi

Reported on 16 benchmarks across 1 task

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

Natural Language Processing16 results

  • Natural Language UnderstandingonDialoGLUE fewshot
    Average
    73.8
    best: 74.6 (ConvBERT-DG)
  • Natural Language UnderstandingonDialoGLUE fewshot
    Banking77 (Acc)
    85.06
    best: 88.99 (BanLanGen)
  • Natural Language UnderstandingonDialoGLUE fewshot
    CLINC150 (Acc)
    85.69
    best: 95.64 (BanLanGen)
  • Natural Language UnderstandingonDialoGLUE fewshot
    DSTC8 (F-1)
    44.36
    best: 56.88 (mslm)
  • Natural Language UnderstandingonDialoGLUE fewshot
    HWU64 (Acc)
    93.06
  • Natural Language UnderstandingonDialoGLUE fewshot
    MultiWOZ (Joint Goal Acc)
    48.89
    best: 49.59 (ConvBERT-DG)
  • Natural Language UnderstandingonDialoGLUE fewshot
    Restaurant8k (F-1)
    87.58
  • Natural Language UnderstandingonDialoGLUE fewshot
    TOP (EM)
    72.01
    best: 78.84 (ConvBERT + Pre + Multi)
  • Natural Language UnderstandingonDialoGLUE full
    Average
    85.34
    best: 86.89 (ConvBERT + Pre + Multi)
  • Natural Language UnderstandingonDialoGLUE full
    Banking77 (Acc)
    92.99
    best: 93.44 (ConvBERT + Pre + Multi)
  • Natural Language UnderstandingonDialoGLUE full
    CLINC150 (Acc)
    91.82
    best: 95.8 (mslm)
  • Natural Language UnderstandingonDialoGLUE full
    DSTC8 (F-1)
    86.49
    best: 91.2 (ConvBERT + Pre + Multi)
  • Natural Language UnderstandingonDialoGLUE full
    HWU64 (Acc)
    97.11
  • Natural Language UnderstandingonDialoGLUE full
    MultiWOZ (Joint Goal Acc)
    58.29
  • Natural Language UnderstandingonDialoGLUE full
    Restaurant8k (F-1)
    94.34
    best: 95.44 (ConvBERT + Pre + Multi)
  • Natural Language UnderstandingonDialoGLUE full
    TOP (EM)
    76.36
    best: 82.08 (ConvBERT + Pre + Multi)