Classification on HumSet XLM-RBASE (test) benchmark leaderboard · SOTA2 Research

Classification on HumSet XLM-RBASE (test)

72.38Sectors ScoreSCALEARN++

Evaluation Results

Method	Links
SCALEARN++2023.10		72.38	51.66	44.23	61.66	42.21	54.43
SCALEARN2023.10		72.36	51.63	44.06	61.52	42.81	54.48
SCALEARNUNIFORM2023.10		72.2	50.08	42.97	60.62	41.95	53.56
ADAPTERFUSION2023.10		72.05	49.63	43.15	60.68	42.14	53.53
SCALEARNUNIFORM++2023.10		72.02	50.78	42.6	60.82	42.14	53.67
FINETUNE2023.10		71.99	50.4	43.76	61.04	41.68	53.77
PROPETL2023.10		71.69	49.69	41.63	60.58	39.85	52.69
ADAPTER2023.10		71.38	51.02	43.26	61.43	42.46	53.91
LORA2023.10		71.08	33.96	42.75	60.33	42.81	50.19
HYPERFORMER2023.10		71.08	40.65	34.16	46.22	32.47	44.92
(IA)32023.10		70.22	45.55	40.05	58.54	39.27	50.73
COMPACTER++2023.10		69.97	37.37	37.76	58.13	33.1	47.26
HYPERFORMER++2023.10		60.42	22.07	20.35	30.55	18.9	30.46
PROPETL-M2023.10		59.8	26.1	29.57	37.53	30.35	36.67
ADAPTERSOUP2023.10		56.81	30.09	21.84	40.71	17.89	33.47
ADAPTER-M2023.10		56.2	28.53	16.53	35.9	18.89	31.21
FINETUNE-M2023.10		51.75	22.65	13.54	33.27	12.42	26.73