Text Classification on MTL-16 (test) benchmark leaderboard · SOTA2 Research

Text Classification on MTL-16 (test)

86.98Average AccuracyStar-Transformer

Updated 5mo ago

Evaluation Results

Method	Links
Star-Transformer2019.02		86.98	10.94	88.25	11	87.75	11	87	11	92.25	11	86	11	82.75	10	87.5	10	88	12	85.5	11	92.75	11	79	12	83.5	11	90.5	11	86.25	10	88	11	86.75	11
SLSTM2019.02		85.38	—	85.75	—	86.25	—	83.44	—	90.02	—	85.52	—	83.25	—	86.5	—	87.15	—	84.54	—	93.75	—	76.2	—	82.04	—	87.75	—	85.75	—	85.25	—	86.75	—
BiLSTM2019.02		84.01	130.3	86.05	114	84.51	141	82.12	135	87.05	125	83.71	143	82.51	136	85.52	131	86.02	174	82.22	130	92.52	136	75.73	26	78.74	137	86.73	140	84.04	134	85.72	137	84.73	146
Transformer2019.02		82.78	49.31	82.25	34	84.5	50	81.5	55	86	52	77.75	58	81.5	49	83.5	45	82.5	77	83	47	89.5	51	77.25	14	79	53	85.25	53	84.75	49	82	46	84.25	56