MT-DNN-ensemble

Reported on 3 benchmarks across 2 tasks · 1 paper · 3 SOTA

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

Natural Language Processing3 results

Natural Language InferenceonMultiNLI
Matched· 2019-04-20
87.9
best: 92.6 (Turing NLR v5 XXL 5.4B (fine-tuned))
SOTA
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding arXiv:1904.09482
Natural Language InferenceonMultiNLI
Mismatched· 2019-04-20
87.4
best: 92.4 (Turing NLR v5 XXL 5.4B (fine-tuned))
SOTA
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding arXiv:1904.09482
Sentiment AnalysisonSST-2 Binary classification
Accuracy· 2019-04-20
96.5
best: 97.5 (T5-11B)
SOTA
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding arXiv:1904.09482