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==========================================
FA CORE EXPERIMENTS (A-H)
==========================================
Start: Wed Apr 22 09:42:02 PM CDT 2026
=== A: FA main audit (100ep, 3 seeds) ===
Using device: cuda:0
============================================================
Seed 42
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0491, train=0.2436, test=0.2789
[FA] Epoch 10: loss=1.8849, train=0.3172, test=0.3416
[FA] Epoch 20: loss=1.8524, train=0.3333, test=0.3609
[FA] Epoch 30: loss=1.8295, train=0.3444, test=0.3714
[FA] Epoch 40: loss=1.8168, train=0.3508, test=0.3823
[FA] Epoch 50: loss=1.8001, train=0.3588, test=0.3842
[FA] Epoch 60: loss=1.7960, train=0.3575, test=0.3806
[FA] Epoch 70: loss=1.7859, train=0.3609, test=0.3892
[FA] Epoch 80: loss=1.7819, train=0.3658, test=0.3919
[FA] Epoch 90: loss=1.7770, train=0.3677, test=0.3913
[FA] Epoch 100: loss=1.7776, train=0.3685, test=0.3929
Final test acc: 0.3929
============================================================
Seed 123
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0394, train=0.2504, test=0.2905
[FA] Epoch 10: loss=1.8597, train=0.3285, test=0.3514
[FA] Epoch 20: loss=1.8128, train=0.3518, test=0.3801
[FA] Epoch 30: loss=1.7718, train=0.3646, test=0.3944
[FA] Epoch 40: loss=1.7571, train=0.3705, test=0.3937
[FA] Epoch 50: loss=1.7417, train=0.3765, test=0.4046
[FA] Epoch 60: loss=1.7407, train=0.3791, test=0.4087
[FA] Epoch 70: loss=1.7346, train=0.3839, test=0.4048
[FA] Epoch 80: loss=1.7344, train=0.3828, test=0.4070
[FA] Epoch 90: loss=1.7341, train=0.3838, test=0.4093
[FA] Epoch 100: loss=1.7313, train=0.3814, test=0.4099
Final test acc: 0.4099
============================================================
Seed 456
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0641, train=0.2401, test=0.2713
[FA] Epoch 10: loss=1.8796, train=0.3171, test=0.3422
[FA] Epoch 20: loss=1.8405, train=0.3365, test=0.3666
[FA] Epoch 30: loss=1.8124, train=0.3511, test=0.3808
[FA] Epoch 40: loss=1.7906, train=0.3597, test=0.3872
[FA] Epoch 50: loss=1.7753, train=0.3662, test=0.3900
[FA] Epoch 60: loss=1.7704, train=0.3685, test=0.3957
[FA] Epoch 70: loss=1.7610, train=0.3737, test=0.3968
[FA] Epoch 80: loss=1.7538, train=0.3723, test=0.3999
[FA] Epoch 90: loss=1.7540, train=0.3762, test=0.3992
[FA] Epoch 100: loss=1.7500, train=0.3750, test=0.3996
Final test acc: 0.3996
All results saved to results/fa_main_audit/results_cifar10.json
=== B: FA+penalty lam=1e-2 (30ep, 3 seeds) ===
Using device: cuda:0
============================================================
Seed 42
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0011, train=0.2748, test=0.3237
[FA] Epoch 10: loss=1.9015, train=0.3259, test=0.3462
[FA] Epoch 20: loss=1.8762, train=0.3376, test=0.3620
[FA] Epoch 30: loss=1.8683, train=0.3472, test=0.3713
Final test acc: 0.3713
============================================================
Seed 123
============================================================
--- FA ---
[FA] Epoch 1: loss=1.9927, train=0.2807, test=0.3339
[FA] Epoch 10: loss=1.9047, train=0.3250, test=0.3513
[FA] Epoch 20: loss=1.8867, train=0.3368, test=0.3600
[FA] Epoch 30: loss=1.8784, train=0.3428, test=0.3660
Final test acc: 0.3660
============================================================
Seed 456
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0075, train=0.2735, test=0.3312
[FA] Epoch 10: loss=1.9005, train=0.3261, test=0.3561
[FA] Epoch 20: loss=1.8808, train=0.3402, test=0.3682
[FA] Epoch 30: loss=1.8698, train=0.3499, test=0.3695
Final test acc: 0.3695
All results saved to results/fa_penalty_30ep/results_cifar10.json
=== C: FA no-pen 30ep (3 seeds) ===
Using device: cuda:0
============================================================
Seed 42
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0491, train=0.2436, test=0.2789
[FA] Epoch 10: loss=1.8842, train=0.3176, test=0.3427
[FA] Epoch 20: loss=1.8545, train=0.3324, test=0.3630
[FA] Epoch 30: loss=1.8426, train=0.3414, test=0.3655
Final test acc: 0.3655
============================================================
Seed 123
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0394, train=0.2504, test=0.2905
[FA] Epoch 10: loss=1.8601, train=0.3275, test=0.3514
[FA] Epoch 20: loss=1.8234, train=0.3491, test=0.3753
[FA] Epoch 30: loss=1.8114, train=0.3527, test=0.3793
Final test acc: 0.3793
============================================================
Seed 456
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0641, train=0.2401, test=0.2713
[FA] Epoch 10: loss=1.8808, train=0.3167, test=0.3426
[FA] Epoch 20: loss=1.8417, train=0.3367, test=0.3677
[FA] Epoch 30: loss=1.8354, train=0.3412, test=0.3699
Final test acc: 0.3699
All results saved to results/fa_no_penalty_30ep/results_cifar10.json
=== D: SKIPPED (frozen blocks needs separate script) ===
=== E: No-terminal-LN FA (100ep, 3 seeds) ===
usage: snapshot_evolution_no_outln.py [-h] [--output_dir OUTPUT_DIR]
[--epochs EPOCHS] [--lr LR] [--wd WD]
[--seed SEED] [--depth DEPTH]
[--d_hidden D_HIDDEN]
snapshot_evolution_no_outln.py: error: unrecognized arguments: --method fa
[E] seed 42: snapshot_evolution_no_outln.py may not support FA yet — skipping
usage: snapshot_evolution_no_outln.py [-h] [--output_dir OUTPUT_DIR]
[--epochs EPOCHS] [--lr LR] [--wd WD]
[--seed SEED] [--depth DEPTH]
[--d_hidden D_HIDDEN]
snapshot_evolution_no_outln.py: error: unrecognized arguments: --method fa
[E] seed 123: snapshot_evolution_no_outln.py may not support FA yet — skipping
usage: snapshot_evolution_no_outln.py [-h] [--output_dir OUTPUT_DIR]
[--epochs EPOCHS] [--lr LR] [--wd WD]
[--seed SEED] [--depth DEPTH]
[--d_hidden D_HIDDEN]
snapshot_evolution_no_outln.py: error: unrecognized arguments: --method fa
[E] seed 456: snapshot_evolution_no_outln.py may not support FA yet — skipping
=== F: Random-target FA (100ep, s42) ===
Using device: cuda:0
============================================================
Seed 42
============================================================
--- FA ---
[FA] Epoch 1: loss=2.3211, train=0.0992, test=0.0948
[FA] Epoch 10: loss=2.3113, train=0.1016, test=0.0894
[FA] Epoch 20: loss=2.3071, train=0.1004, test=0.1045
[FA] Epoch 30: loss=2.3050, train=0.0974, test=0.1226
[FA] Epoch 40: loss=2.3039, train=0.1005, test=0.0837
[FA] Epoch 50: loss=2.3034, train=0.1006, test=0.0945
[FA] Epoch 60: loss=2.3032, train=0.0982, test=0.1195
[FA] Epoch 70: loss=2.3029, train=0.0994, test=0.1104
[FA] Epoch 80: loss=2.3027, train=0.1005, test=0.0927
[FA] Epoch 90: loss=2.3026, train=0.1001, test=0.1170
[FA] Epoch 100: loss=2.3026, train=0.0988, test=0.1200
Final test acc: 0.1200
All results saved to results/fa_random_targets_s42/results_cifar10.json
=== G: FA early checkpoints (5ep, 3 seeds) ===
Using device: cuda:0
============================================================
Seed 42
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0491, train=0.2436, test=0.2789
Final test acc: 0.3219
============================================================
Seed 123
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0394, train=0.2504, test=0.2905
Final test acc: 0.3478
============================================================
Seed 456
============================================================
--- FA ---
[FA] Epoch 1: loss=2.0641, train=0.2401, test=0.2713
Final test acc: 0.3242
All results saved to results/fa_early_ckpts/results_cifar10.json
=== H: FA trajectory — covered by A (log has per-epoch values) ===
==========================================
ALL CORE FA EXPERIMENTS DONE
End: Wed Apr 22 10:21:51 PM CDT 2026
==========================================
|
