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ResearchFormerly WizWand

Text Classification on Yelp Review (test)

69.63Macro F1Prompt-based FT (soft)
44.46250.99657.5364.064May 2, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Prompt-based FT (soft)Number of labeled samples=full, Backbone=RoBERTa-Large2023.0569.63
Prompt-based FT (hard)Number of labeled samples=full, Backbone=RoBERTa-Large2023.0568.71
Prompt-based FT (hard) + PCPNumber of labeled samples=200, Backbone=RoBERTa-Large2023.0563.15
Prompt-based FT (soft) + PCPNumber of labeled samples=200, Backbone=RoBERTa-Large2023.0562.92
ADAMATCHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.0558.95
DASHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.0558.85
FIXMATCHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.0558.51
FLEXMATCHNumber of labeled samples=200, Backbone=RoBERTa-Large2023.0558.34
Prompt-based FT (hard)Number of labeled samples=200, Backbone=RoBERTa-Large2023.0558.27
Prompt-based FT (soft)Number of labeled samples=200, Backbone=RoBERTa-Large2023.0557.12
Prompt-based FT (hard) + PCPNumber of labeled samples=40, Backbone=RoBERTa-Large2023.0552.92
Prompt-based FT (soft) + PCPNumber of labeled samples=40, Backbone=RoBERTa-Large2023.0550.66
FLEXMATCHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.0550.6
ADAMATCHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.0550.42
DASHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.0547.44
FIXMATCHNumber of labeled samples=40, Backbone=RoBERTa-Large2023.0547.26
Prompt-based FT (hard)Number of labeled samples=40, Backbone=RoBERTa-Large2023.0546.69
Prompt-based FT (soft)Number of labeled samples=40, Backbone=RoBERTa-Large2023.0545.43