run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_medium_hi-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-alo=0-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=0-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=1_ns4_alo0
run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_medium --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --generator_config aprm_qwen3_ap --trainer_config aprm_for_sft100 --replay_buffer_config… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_medium_hi-Gaprm_qw3_ap-S42-R1_ns4_alo0-ap1-best-train_all-b01.
