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Boolean Classification on Police incident dataset

97.38Accuracy (Death)Qwen2.5-7B-lora
77.15282.403587.65592.9065Dec 18, 2025

Evaluation results

MethodLinks
Qwen2.5-7B-loraTuning Method=LoRA-tuned2025.1297.3896.6396.8292.790.3190.9189.7586.6387.494.8293.494.7793.6892.3392.6671.1567.3568.1894.3992.8293.21
Gemma2-9B-loraTuning Method=LoRA-tuned2025.1297.2696.3196.7290.5188.2689.3786.6383.7785.1792.690.1691.3692.8490.5391.6771.4678.4276.5489.3490.5489.62
LLaMA3-8B-CH-loraTuning Method=LoRA-tuned2025.1297.2396.8596.9292.6791.8292.0389.7688.2388.6194.6393.3293.6493.5590.4691.2270.5565.7866.9694.2793.8593.95
BeiChuan2-7B-loraTuning Method=LoRA-tuned2025.1297.1996.5496.792.4189.990.5389.6887.3687.9494.1192.9193.2193.2791.8892.2371.9868.5369.3892.9490.5291.12
ChatGLM3-6B-loraTuning Method=LoRA-tuned2025.1296.8492.6993.6490.5286.8887.7888.4583.1584.4693.5189.7690.6892.9188.3689.5169.3458.9461.4393.2189.4890.4
Qwen2.5-7B-instructTuning Method=Instruction-tuned2025.1283.1277.2479.1872.3566.7368.0587.381.9583.2638.4233.5634.7191.7286.9288.2133.1928.429.5571.7466.567.79
LLaMA3-8B-CH-chatTuning Method=Instruction-tuned2025.1277.9372.8874.3172.8368.4269.6525.3320.0821.3755.2149.8751.2481.8576.5877.8137.9932.6833.9667.2761.462.83