Natural Language Understanding on GLUE (val test) benchmark leaderboard · SOTA2 Research

Natural Language Understanding on GLUE (val test)

0.97SST-2 AccuracyXLNet

Evaluation Results

Method	Links
XLNet2023.02		0.97	0.859	0.908	0.923	0.908	0.949
ELECTRA2023.02		0.969	0.88	0.908	0.924	0.909	0.95
UNIMO2023.02		0.968	—	—	—	0.898	0.948
DeBERTa2023.02		0.968	0.883	0.919	0.923	0.911	0.953
OFA2023.02		0.966	0.91	0.917	0.925	0.902	0.945
RoBERTa2023.02		0.964	0.866	0.909	0.922	0.902	0.939
mPLUG-2Deberta2023.02		0.962	0.894	0.921	0.926	0.908	0.948
mPLUG-22023.02		0.951	0.88	0.901	0.927	0.902	0.945
mPLUG-2Base2023.02		0.935	0.852	0.873	0.913	0.876	0.932
BERT2023.02		0.932	0.704	0.88	0.913	0.866	0.923
SimVLM2023.02		0.909	0.639	0.752	0.904	0.834	0.886
FLAVA2023.02		0.909	0.578	0.814	0.904	0.803	0.873
ViLBERT2023.02		0.904	0.537	0.69	0.886	0.799	0.838
LXMERT2023.02		0.902	0.572	0.698	0.753	0.804	0.842
Uni-Perceiver2023.02		0.902	0.643	0.866	0.871	0.817	0.899
VL-BERT2023.02		0.898	0.557	0.706	0.89	0.812	0.863
UNITER2023.02		0.897	0.556	0.693	0.892	0.809	0.86
VisualBERT2023.02		0.894	0.566	0.719	0.894	0.816	0.87