============================================================ SCALED REGULARIZATION GRID SEARCH - DEPTH 8 Job ID: 15345524 | Node: gpub028 Start: Mon Jan 5 05:47:15 CST 2026 ============================================================ Grid: λ_reg=[0.01, 0.05, 0.1, 0.3] × reg_type=[mult_linear, mult_squared, mult_log] Total: 12 experiments ============================================================ NVIDIA A40, 46068 MiB ============================================================ ====================================================================== SCALED REGULARIZATION GRID SEARCH ====================================================================== Depth: 8 Epochs: 100 Device: cuda GPU: NVIDIA A40 ====================================================================== Grid: 4 λ_reg × 3 reg_types = 12 experiments λ_reg values: [0.01, 0.05, 0.1, 0.3] reg_types: ['mult_linear', 'mult_squared', 'mult_log'] Loading CIFAR-100... Train: 50000, Test: 10000 ============================================================ Config: depth=8, reg_type=mult_linear, λ_reg=0.01 ============================================================ Training Vanilla... Epoch 10: test=0.451 Epoch 20: test=0.515 Epoch 30: test=0.570 Epoch 40: test=0.571 Epoch 50: test=0.591 Epoch 60: test=0.593 Epoch 70: test=0.596 Epoch 80: test=0.595 Epoch 90: test=0.597 Epoch 100: test=0.596 Training Lyapunov (mult_linear, λ_reg=0.01)... Epoch 10: test=0.010 λ=1.581 Epoch 20: test=0.010 λ=1.591 Epoch 30: test=0.010 λ=1.601 Epoch 40: test=0.010 λ=1.673 Epoch 50: test=0.010 λ=1.592 Epoch 60: test=0.010 λ=1.564 Epoch 70: test=0.010 λ=1.616 Epoch 80: test=0.010 λ=1.569 Epoch 90: test=0.010 λ=1.596 Epoch 100: test=0.010 λ=1.610 Result: Vanilla=0.597, Lyap=0.010, Δ=-0.587 ============================================================ Config: depth=8, reg_type=mult_squared, λ_reg=0.01 ============================================================ Training Vanilla... Epoch 10: test=0.428 Epoch 20: test=0.535 Epoch 30: test=0.558 Epoch 40: test=0.568 Epoch 50: test=0.588 Epoch 60: test=0.589 Epoch 70: test=0.589 Epoch 80: test=0.598 Epoch 90: test=0.602 Epoch 100: test=0.602 Training Lyapunov (mult_squared, λ_reg=0.01)... Epoch 10: test=0.011 λ=1.586 Epoch 20: test=0.010 λ=1.615 Epoch 30: test=0.010 λ=1.536 Epoch 40: test=0.010 λ=1.568 Epoch 50: test=0.010 λ=1.652 Epoch 60: test=0.010 λ=1.672 Epoch 70: test=0.010 λ=1.727 Epoch 80: test=0.010 λ=1.645 Epoch 90: test=0.010 λ=1.600