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Text Classification on TE-Hate

70.39AccuracySC
37.401245.965654.5363.0944May 22, 2025

Evaluation results

MethodLinks
SCModel=Mistral, k-shot=8, Seeds=52025.0570.39
BCModel=Mistral, k-shot=8, Seeds=52025.0563.83
BCModel=Mistral, Shots=42025.0562.27
Base LLMModel=Qwen, k-shot=8, Seeds=52025.0561.33
BCModel=Qwen, k-shot=8, Seeds=52025.0561.33
Base LLMModel=Mistral, k-shot=8, Seeds=52025.0560.86
SCModel=Qwen, k-shot=8, Seeds=52025.0559.38
Base LLMModel=Mistral, Shots=42025.0556.88
Base LLMModel=Qwen, Shots=42025.0556.68
BCModel=Qwen, Shots=42025.0556.64
BCModel=Llama, k-shot=8, Seeds=52025.0553.91
BCModel=Llama, Shots=42025.0552.46
SCModel=Qwen, Shots=42025.0551.17
SCModel=Llama, k-shot=8, Seeds=52025.0549.61
SCModel=Llama, Shots=42025.0548.52
Base LLMModel=Llama, Shots=42025.0546.33
Base LLMModel=Llama, k-shot=8, Seeds=52025.0545
CCModel=Qwen, Shots=42025.0543.36
DCModel=Qwen, Shots=42025.0543.36
CCModel=Llama, Shots=42025.0543.36
DCModel=Llama, Shots=42025.0543.36
SCModel=Mistral, Shots=42025.0542.27
CCModel=Qwen, k-shot=8, Seeds=52025.0538.67
DCModel=Qwen, k-shot=8, Seeds=52025.0538.67
CCModel=Llama, k-shot=8, Seeds=52025.0538.67
DCModel=Llama, k-shot=8, Seeds=52025.0538.67
CCModel=Mistral, k-shot=8, Seeds=52025.0538.67
DCModel=Mistral, k-shot=8, Seeds=52025.0538.67
CCModel=Mistral, Shots=42025.0538.67
DCModel=Mistral, Shots=42025.0538.67