File size: 2,823 Bytes
05ab4b5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | """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)
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