FreeLB

Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Natural Language Processing4 results

Semantic Textual SimilarityonQuora Question Pairs
Dev Accuracy· 2019-11-08
92.6
SOTA
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization arXiv:1911.03437
Paraphrase IdentificationonQuora Question Pairs
Dev Accuracy· 2019-11-08
92.6
SOTA
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization arXiv:1911.03437
Semantic Textual SimilarityonQuora Question Pairs
Accuracy· 2019-11-08
74.8
best: 92.4 (data2vec)
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization arXiv:1911.03437
Paraphrase IdentificationonQuora Question Pairs
Accuracy· 2019-11-08
74.8
best: 92.4 (data2vec)
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization arXiv:1911.03437