List your company

Natural Language Processing on T0 benchmark

85.8RTET0*
52.72861.31469.978.486Nov 15, 2022

Evaluation results

MethodLinks
T0*Base Model=T5-XXL, #Params=11B2022.1185.873.347.34246.194.431.598.462.872.85664.6
UDBase Model=T5-Large, #Params=400M2022.1183.880.436.834.242.29056.196.468.362.954.664.1
UD+Base Model=T5-XXL, #Params=5.5B2022.118289.353.448.1519678.996.77586.458.574.1
T0†Base Model=T5-XXL, #Params=11B2022.1180.870.143.638.741.39033.692.461.559.956.660.8
UDBase Model=T5-XXL, #Params=5.5B2022.1180.587.54942.948.89577.498.673.182.257.172
T0*Base Model=T5-XL, #Params=3B2022.1179.768.943.138.542.394.131.597.568.861.354.161.8
UDBase Model=T5-XL, #Params=1.5B2022.1178.773.241.236.345.49470.197.972.170.65366.6
FLANBase Model=Decoder-only, #Params=137B2022.1178.364.147.743.94790.656.492.280.867.3——
T0*Base Model=T5-Large, #Params=800M2022.1175.155.532.932.333.784.628.2946354.651.255
PaLMBase Model=Decoder-only, #Params=540B2022.1172.951.84844.245.79383.484.689.181.159.168.5
UDBase Model=DeBERTaV3, #Params=304M2022.1171.176.843.841.345.79660.797.466.483.653.366.9
PE-REPBase Model=ELECTRA, #Params=335M2022.116961.336.13539.491.24796.87056.251.158.5
GLaMBase Model=MoE Decoder-only, #Params=64B2022.1166.833.940.938.240.99077.182.583.573.450.561.6
T0†Base Model=T5-XL, #Params=3B2022.1164.645.433.833.133.372.427.38465.15150.751
GPT-3Base Model=Decoder-only, #Params=175B2022.1163.546.434.635.434.59178.983.265.470.2——
PE-CLSBase Model=ELECTRA, #Params=335M2022.1160.257.434.134.436.492.744.19662.856.350.756.8
GLaMBase Model=Decoder-only, #Params=137B2022.1156.339.339.735.534.19076.781.182.171.350.659.7
PE-PROBBase Model=ELECTRA, #Params=335M2022.115449.232.333.333.581.936.789.564.350.750.952.4