mzio/aprm-sft_thinkact-Eaprm_tw_tr_hard_hi-Gaprm_qwen3_ap-S42-R0-ap1-train_all-b040
Act-PRM Rollout Dataset Run Metadata run_name: act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_hard_hi-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=1-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=0 run_cmd: main_pytorch.py --env_config act_prm/tw_treasure_hard_hi --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --replay_buffer_config default --log_path ./logs --no_fa2 --generator_config aprm_qwen3_ap… See the full description on the dataset page: https://huggingface.co/datasets/mzio/aprm-sft_thinkact-Eaprm_tw_tr_hard_hi-Gaprm_qwen3_ap-S42-R0-ap1-train_all-b040.
03
Act-PRM Rollout Dataset
Run Metadata
- run_name:
act-prm-v2-ia=0-rr=0-ec=act_prm_tw_treasure_hard_hi-gc=aprm_qwen3_ap-tc=aprm_for_sft100-rbc=default-mc=hf_qwen3_4b_inst_2507-lc=r8_a16_qkvo-nf=1-ao=1-ho=1-gs=8-bs=8-lr=4e_05-ns=4-s=42-r=0 - run_cmd:
main_pytorch.py --env_config act_prm/tw_treasure_hard_hi --model_config hf_qwen3_4b_inst_2507 --lora_config r8_a16_qkvo --replay_buffer_config default --log_path ./logs --no_fa2 --generator_config aprm_qwen3_ap --trainer_config aprm_for_sft100 --actions_only --hide_observations --batch_size 8 --group_size 8 --learning_rate 4e-5 --num_substeps 4 --seed 42 --replicate 0 --verbose - batch_idx:
40 - split:
train_all - trajectory_key:
think_act_policy - num_trajectories:
244 - num_episodes:
244 - group_size:
8 - batch_size:
8