============================================================ SCALED REGULARIZATION GRID SEARCH - DEPTH 12 Job ID: 15345525 | Node: gpub082 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: 12 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=12, reg_type=mult_linear, λ_reg=0.01 ============================================================ Training Vanilla... Epoch 10: test=0.226 Epoch 20: test=0.313 Epoch 30: test=0.385 Epoch 40: test=0.432 Epoch 50: test=0.453 Epoch 60: test=0.460 Epoch 70: test=0.464 Epoch 80: test=0.479 Epoch 90: test=0.474 Epoch 100: test=0.476 Training Lyapunov (mult_linear, λ_reg=0.01)... Epoch 10: test=0.010 λ=1.644 Epoch 20: test=0.015 λ=1.622 Epoch 30: test=0.010 λ=1.605 Epoch 40: test=0.010 λ=1.624 Epoch 50: test=0.010 λ=1.626 Epoch 60: test=0.010 λ=1.600 Epoch 70: test=0.010 λ=1.599 Epoch 80: test=0.010 λ=1.596 Epoch 90: test=0.010 λ=1.600 Epoch 100: test=0.010 λ=1.600 Result: Vanilla=0.479, Lyap=0.015, Δ=-0.464 ============================================================ Config: depth=12, reg_type=mult_squared, λ_reg=0.01 ============================================================ Training Vanilla... Epoch 10: test=0.247 Epoch 20: test=0.356 Epoch 30: test=0.363 Epoch 40: test=0.409 Epoch 50: test=0.408 Epoch 60: test=0.426 Epoch 70: test=0.446 Epoch 80: test=0.460 Epoch 90: test=0.463 Epoch 100: test=0.470 Training Lyapunov (mult_squared, λ_reg=0.01)... Epoch 10: test=0.010 λ=1.659 Epoch 20: test=0.010 λ=1.585