SMART+BERT-BASE

Reported on 2 benchmarks across 2 tasks · 1 paper

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

Natural Language Processing2 results

Natural Language InferenceonMultiNLI
Accuracy· 2019-11-08
85.6
best: 85.7 (MT-DNN-SMARTv0)
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization arXiv:1911.03437
Sentiment AnalysisonSST-2 Binary classification
Accuracy· 2019-11-08
93
best: 97.5 (T5-11B)
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization arXiv:1911.03437