violetxi/

single-turn-eval-meta_feedback_qwen3-4b_step2_gpt-5.4_gepa-n32

Generated by teaching/inference/single_turn_eval_vllm.py. One row per problem; samples is the list of model responses, scores is per-sample correctness, and mean/best/worst are the aggregates used by mean@N / best@N / worst@N.

	Eval results (n_samples_per_example = 32)




	


	Overall




	

metric value

n_examples 1006

mean@32 0.1796

best@32 0.3588

worst@32 0.0477

pass_rate 0.3588… See the full description on the dataset page: https://huggingface.co/datasets/violetxi/single-turn-eval-meta_feedback_qwen3-4b_step2_gpt-5.4_gepa-n32.