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ResearchFormerly WizWand

Sentiment Analysis on AR

70.9AccuracyRLLR
67.7868.5969.470.21May 30, 2024
Updated 8mo ago

Evaluation results

MethodLinks
RLLRBackbone=Bloom 7B2024.0570.9
RLLRModel=Bloom, Model Size=7B2024.0570.9
RLLRBackbone=Mistral 7B2024.0570.6
RLLR_MIXEDBackbone=Baichuan2 7B2024.0570.5
SFTBackbone=Mistral 7B2024.0570.4
RLLRBackbone=Baichuan2 7B2024.0570.4
RLLR_MIXEDBackbone=Bloom 7B2024.0570.4
RLLRMIXEDModel=Bloom, Model Size=7B2024.0570.4
RLLR_MIXEDBackbone=Mistral 7B2024.0570.3
RLLRBackbone=LLaMA2 7B2024.0570.1
RLLRModel=LLaMA2, Model Size=7B2024.0570.1
SFTBackbone=Baichuan2 7B2024.0569.9
SFT w. rat.Backbone=Bloom 7B2024.0569.8
SFT w. rat.Model=Bloom, Model Size=7B2024.0569.8
RLLRMIXEDModel=LLaMA2, Model Size=13B2024.0569.7
RLLR_MIXEDBackbone=LLaMA2 7B2024.0569.6
RLLRMIXEDModel=LLaMA2, Model Size=7B2024.0569.6
RLLRModel=LLaMA2, Model Size=13B2024.0569.5
SFTBackbone=LLaMA2 7B2024.0569.4
SFT w. rat.Backbone=Mistral 7B2024.0569.4
RLHFBackbone=Bloom 7B2024.0569.4
SFTModel=LLaMA2, Model Size=7B2024.0569.4
RLHFModel=Bloom, Model Size=7B2024.0569.4
SFTBackbone=Bloom 7B2024.0569.3
RLLRMIXEDModel=Bloom, Model Size=3B2024.0569.3
SFTModel=Bloom, Model Size=7B2024.0569.3
RLLRModel=Bloom, Model Size=3B2024.0569.2
RLLRBackbone=ChatGLM3 6B2024.0569.1
RLLR_MIXEDBackbone=ChatGLM3 6B2024.0569.1
SFT w. rat.Backbone=Baichuan2 7B2024.0569.1
SFTModel=LLaMA2, Model Size=13B2024.0569
RLHFBackbone=ChatGLM3 6B2024.0568.9
SFT w. rat.Model=LLaMA2, Model Size=13B2024.0568.9
RLHFModel=LLaMA2, Model Size=13B2024.0568.9
SFTBackbone=ChatGLM3 6B2024.0568.8
SFT w. rat.Backbone=LLaMA2 7B2024.0568.7
RLHFBackbone=Mistral 7B2024.0568.7
SFT w. rat.Model=LLaMA2, Model Size=7B2024.0568.7
RLHFModel=Bloom, Model Size=3B2024.0568.6
RLHFBackbone=LLaMA2 7B2024.0568.5
RLHFModel=LLaMA2, Model Size=7B2024.0568.5
SFT w. rat.Model=Bloom, Model Size=3B2024.0568.5
RLHFBackbone=Baichuan2 7B2024.0568.3
SFT w. rat.Backbone=ChatGLM3 6B2024.0568.2
SFTModel=Bloom, Model Size=3B2024.0567.9