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ResearchFormerly WizWand

Zero-shot Learning on 11 evaluation datasets

64.5AccuracyMHR-μ
42.34848.09953.8559.601Nov 7, 2022
Updated 8mo ago

Evaluation results

MethodLinks
MHR-μBackbone=T0-11B, k=10002022.1164.5
MHR-μBackbone=T0-11B, k=50002022.1164.5
Poly-μBackbone=T0-11B, k=100002022.1164.4
MHR-μBackbone=T0-11B, k=100002022.1164.4
Poly-μBackbone=T0-11B, k=50002022.1163.9
Poly-μBackbone=T0-11B, k=10002022.1163.6
MHR-μBackbone=T0-11B, k=02022.1163.5
Poly-μBackbone=T0-11B, k=02022.1162.1
LoRABackbone=T0-11B, k=10002022.1161.6
LoRABackbone=T0-11B, k=50002022.1161.5
LoRABackbone=T0-11B, k=100002022.1161.5
LoRABackbone=T0-11B, k=02022.1161.2
BackboneBackbone=T0-11B, k=02022.1161
MHR-μBackbone=T5-XL-LM, k=10002022.1158
MHR-μBackbone=T5-XL-LM, k=50002022.1157.1
Poly-μBackbone=T5-XL-LM, k=50002022.1156.8
LoRABackbone=T5-XL-LM, k=02022.1156.5
Poly-μBackbone=T5-XL-LM, k=100002022.1156.3
MHR-μBackbone=T5-XL-LM, k=100002022.1156.3
LoRABackbone=T5-XL-LM, k=50002022.1156.1
LoRABackbone=T5-XL-LM, k=10002022.1156
LoRABackbone=T5-XL-LM, k=100002022.1155.7
Poly-μBackbone=T5-XL-LM, k=10002022.1153
MHR-μBackbone=T5-XL-LM, k=02022.1148
Poly-μBackbone=T5-XL-LM, k=02022.1146
BackboneBackbone=T5-XL-LM, k=02022.1143.2