scripts/selection.py

"""The H1 checkpoint subset: 6 hparam points per method, epoch10, spanning lr
plus one secondary hparam axis. Default repro.md points included where present."""

PREFIX = "open-unlearning/unlearn_tofu_Llama-3.2-1B-Instruct_forget10_"

SELECTED = [
    # NPO (repro default: lr1e-05_beta0.1_alpha1)
    "NPO_lr1e-05_beta0.1_alpha1_epoch10",
    "NPO_lr2e-05_beta0.1_alpha1_epoch10",
    "NPO_lr5e-05_beta0.1_alpha1_epoch10",
    "NPO_lr2e-05_beta0.05_alpha1_epoch10",
    "NPO_lr2e-05_beta0.5_alpha1_epoch10",
    "NPO_lr5e-05_beta0.5_alpha2_epoch10",
    # AltPO
    "AltPO_lr1e-05_beta0.1_alpha1_epoch10",
    "AltPO_lr2e-05_beta0.1_alpha1_epoch10",
    "AltPO_lr5e-05_beta0.1_alpha1_epoch10",
    "AltPO_lr2e-05_beta0.05_alpha1_epoch10",
    "AltPO_lr2e-05_beta0.5_alpha1_epoch10",
    "AltPO_lr5e-05_beta0.5_alpha2_epoch10",
    # GradDiff (repro default: lr1e-05_alpha1)
    "GradDiff_lr1e-05_alpha1_epoch10",
    "GradDiff_lr2e-05_alpha1_epoch10",
    "GradDiff_lr5e-05_alpha1_epoch10",
    "GradDiff_lr3e-05_alpha5_epoch10",
    "GradDiff_lr5e-05_alpha5_epoch10",
    "GradDiff_lr5e-05_alpha10_epoch10",
    # SimNPO
    "SimNPO_lr1e-05_b3.5_a1_d1_g0.125_ep10",
    "SimNPO_lr2e-05_b3.5_a1_d1_g0.125_ep10",
    "SimNPO_lr5e-05_b3.5_a1_d1_g0.125_ep10",
    "SimNPO_lr2e-05_b4.5_a1_d1_g0.125_ep10",
    "SimNPO_lr2e-05_b3.5_a1_d0_g0.25_ep10",
    "SimNPO_lr5e-05_b4.5_a1_d0_g0.25_ep10",
    # RMU
    "RMU_lr1e-05_layer5_scoeff100_epoch10",
    "RMU_lr2e-05_layer5_scoeff100_epoch10",
    "RMU_lr5e-05_layer5_scoeff100_epoch10",
    "RMU_lr2e-05_layer10_scoeff100_epoch10",
    "RMU_lr2e-05_layer10_scoeff10_epoch10",
    "RMU_lr5e-05_layer15_scoeff100_epoch10",
    # UNDIAL
    "UNDIAL_lr1e-05_beta3_alpha1_epoch10",
    "UNDIAL_lr0.0001_beta3_alpha1_epoch10",
    "UNDIAL_lr0.0001_beta10_alpha1_epoch10",
    "UNDIAL_lr0.0003_beta10_alpha1_epoch10",
    "UNDIAL_lr0.0003_beta30_alpha1_epoch10",
    "UNDIAL_lr0.0001_beta30_alpha2_epoch10",
    # IdkDPO
    "IdkDPO_lr1e-05_beta0.1_alpha1_epoch10",
    "IdkDPO_lr2e-05_beta0.1_alpha1_epoch10",
    "IdkDPO_lr5e-05_beta0.1_alpha1_epoch10",
    "IdkDPO_lr2e-05_beta0.05_alpha1_epoch10",
    "IdkDPO_lr2e-05_beta0.5_alpha1_epoch10",
    "IdkDPO_lr5e-05_beta0.05_alpha2_epoch10",
    # IdkNLL
    "IdkNLL_lr1e-05_alpha1_epoch10",
    "IdkNLL_lr2e-05_alpha1_epoch10",
    "IdkNLL_lr5e-05_alpha1_epoch10",
    "IdkNLL_lr2e-05_alpha5_epoch10",
    "IdkNLL_lr5e-05_alpha5_epoch10",
    "IdkNLL_lr3e-05_alpha2_epoch10",
]

if __name__ == "__main__":
    import json

    grid = set(json.load(open("/workspace/jspace-unlearning/results/grid_all_398.json")))
    missing = [s for s in SELECTED if PREFIX + s not in grid]
    assert not missing, f"not in grid: {missing}"
    print(len(SELECTED), "selected, all present in grid")
    for s in SELECTED:
        print(PREFIX + s)