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+==========================================
+FA EXTENSION EXPERIMENTS (I-M)
+==========================================
+Start: Wed Apr 22 10:26:41 PM CDT 2026
+
+=== I: FA+pen lam=1e-4 (30ep, 3 seeds) ===
+Using device: cuda:0
+
+============================================================
+Seed 42
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0346, train=0.2557, test=0.2909
+ [FA] Epoch 10: loss=1.8700, train=0.3346, test=0.3635
+ [FA] Epoch 20: loss=1.8495, train=0.3436, test=0.3682
+ [FA] Epoch 30: loss=1.8430, train=0.3521, test=0.3759
+ Final test acc: 0.3759
+
+============================================================
+Seed 123
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0259, train=0.2600, test=0.3099
+ [FA] Epoch 10: loss=1.8666, train=0.3358, test=0.3532
+ [FA] Epoch 20: loss=1.8505, train=0.3472, test=0.3685
+ [FA] Epoch 30: loss=1.8391, train=0.3530, test=0.3725
+ Final test acc: 0.3725
+
+============================================================
+Seed 456
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0371, train=0.2562, test=0.2999
+ [FA] Epoch 10: loss=1.8573, train=0.3373, test=0.3567
+ [FA] Epoch 20: loss=1.8335, train=0.3500, test=0.3831
+ [FA] Epoch 30: loss=1.8207, train=0.3574, test=0.3837
+ Final test acc: 0.3837
+
+All results saved to results/fa_penalty_lam1e-4_30ep/results_cifar10.json
+
+=== L: FA d=512 depth sweep (100ep, s42) ===
+ L=2
+Using device: cuda:0
+
+============================================================
+Seed 42
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0612, train=0.2476, test=0.3028
+ [FA] Epoch 10: loss=1.8290, train=0.3435, test=0.3705
+ [FA] Epoch 20: loss=1.8102, train=0.3489, test=0.3634
+ [FA] Epoch 30: loss=1.7963, train=0.3546, test=0.3398
+ [FA] Epoch 40: loss=1.7775, train=0.3605, test=0.3497
+ [FA] Epoch 50: loss=1.7610, train=0.3685, test=0.3288
+ [FA] Epoch 60: loss=1.7592, train=0.3704, test=0.3376
+ [FA] Epoch 70: loss=1.7588, train=0.3747, test=0.3421
+ [FA] Epoch 80: loss=1.7564, train=0.3751, test=0.3497
+ [FA] Epoch 90: loss=1.7543, train=0.3769, test=0.3472
+ [FA] Epoch 100: loss=1.7527, train=0.3768, test=0.3495
+ Final test acc: 0.3495
+
+All results saved to results/fa_depth_scan_d512/results_cifar10.json
+ L=4
+Using device: cuda:0
+
+============================================================
+Seed 42
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0301, train=0.2531, test=0.2917
+ [FA] Epoch 10: loss=1.8487, train=0.3366, test=0.3541
+ [FA] Epoch 20: loss=1.7864, train=0.3609, test=0.3908
+ [FA] Epoch 30: loss=1.7510, train=0.3724, test=0.3990
+ [FA] Epoch 40: loss=1.7387, train=0.3767, test=0.3946
+ [FA] Epoch 50: loss=1.7209, train=0.3875, test=0.4165
+ [FA] Epoch 60: loss=1.7052, train=0.3913, test=0.4173
+ [FA] Epoch 70: loss=1.6945, train=0.3963, test=0.4137
+ [FA] Epoch 80: loss=1.6868, train=0.4018, test=0.4219
+ [FA] Epoch 90: loss=1.6830, train=0.4009, test=0.4250
+ [FA] Epoch 100: loss=1.6781, train=0.4021, test=0.4244
+ Final test acc: 0.4244
+
+All results saved to results/fa_depth_scan_d512/results_cifar10.json
+ L=6
+Using device: cuda:0
+
+============================================================
+Seed 42
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0375, train=0.2474, test=0.2938
+ [FA] Epoch 10: loss=1.8616, train=0.3294, test=0.3541
+ [FA] Epoch 20: loss=1.8289, train=0.3459, test=0.3711
+ [FA] Epoch 30: loss=1.7992, train=0.3579, test=0.3857
+ [FA] Epoch 40: loss=1.7837, train=0.3631, test=0.3942
+ [FA] Epoch 50: loss=1.7699, train=0.3710, test=0.3921
+ [FA] Epoch 60: loss=1.7550, train=0.3741, test=0.3975
+ [FA] Epoch 70: loss=1.7439, train=0.3770, test=0.4058
+ [FA] Epoch 80: loss=1.7413, train=0.3796, test=0.4014
+ [FA] Epoch 90: loss=1.7382, train=0.3791, test=0.4008
+ [FA] Epoch 100: loss=1.7363, train=0.3785, test=0.4014
+ Final test acc: 0.4014
+
+All results saved to results/fa_depth_scan_d512/results_cifar10.json
+ L=8
+Using device: cuda:0
+
+============================================================
+Seed 42
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0431, train=0.2481, test=0.2960
+ [FA] Epoch 10: loss=1.8619, train=0.3303, test=0.3574
+ [FA] Epoch 20: loss=1.8163, train=0.3500, test=0.3617
+ [FA] Epoch 30: loss=1.7889, train=0.3612, test=0.3795
+ [FA] Epoch 40: loss=1.7651, train=0.3681, test=0.3955
+ [FA] Epoch 50: loss=1.7509, train=0.3738, test=0.4002
+ [FA] Epoch 60: loss=1.7385, train=0.3783, test=0.4060
+ [FA] Epoch 70: loss=1.7297, train=0.3819, test=0.4046
+ [FA] Epoch 80: loss=1.7255, train=0.3861, test=0.4064
+ [FA] Epoch 90: loss=1.7214, train=0.3872, test=0.4076
+ [FA] Epoch 100: loss=1.7181, train=0.3879, test=0.4094
+ Final test acc: 0.4094
+
+All results saved to results/fa_depth_scan_d512/results_cifar10.json
+ L=12
+Using device: cuda:0
+
+============================================================
+Seed 42
+============================================================
+
+--- FA ---
+ [FA] Epoch 1: loss=2.0427, train=0.2406, test=0.2963
+ [FA] Epoch 10: loss=1.8510, train=0.3333, test=0.3712
+ [FA] Epoch 20: loss=1.8069, train=0.3520, test=0.3747
+ [FA] Epoch 30: loss=1.7837, train=0.3593, test=0.3827
+ [FA] Epoch 40: loss=1.7677, train=0.3684, test=0.4088
+ [FA] Epoch 50: loss=1.7521, train=0.3730, test=0.3905
+ [FA] Epoch 60: loss=1.7441, train=0.3767, test=0.4042
+ [FA] Epoch 70: loss=1.7356, train=0.3807, test=0.4046
+ [FA] Epoch 80: loss=1.7307, train=0.3824, test=0.4037
+ [FA] Epoch 90: loss=1.7268, train=0.3839, test=0.4014
+ [FA] Epoch 100: loss=1.7295, train=0.3834, test=0.4035
+ Final test acc: 0.4035
+
+All results saved to results/fa_depth_scan_d512/results_cifar10.json
+
+==========================================
+FA EXTENSION EXPERIMENTS DONE
+End: Wed Apr 22 11:13:24 PM CDT 2026
+==========================================