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============================================================
SCALED REGULARIZATION GRID SEARCH - DEPTH 4
Job ID: 15427300 | Node: gpub003
Start: Tue Jan 6 21:27:43 CST 2026
============================================================
Grid: λ_reg=[0.0005, 0.001, 0.002, 0.005] × reg_type=[mult_linear, mult_log]
Total: 8 experiments
============================================================
NVIDIA A40, 46068 MiB
============================================================
======================================================================
SCALED REGULARIZATION GRID SEARCH
======================================================================
Depth: 4
Epochs: 100
Device: cuda
GPU: NVIDIA A40
======================================================================
Grid: 4 λ_reg × 2 reg_types = 8 experiments
λ_reg values: [0.0005, 0.001, 0.002, 0.005]
reg_types: ['mult_linear', 'mult_log']
Loading CIFAR-100...
Train: 50000, Test: 10000
============================================================
Config: depth=4, reg_type=mult_linear, λ_reg=0.0005
============================================================
Training Vanilla...
Epoch 10: test=0.504
Epoch 20: test=0.554
Epoch 30: test=0.582
Epoch 40: test=0.604
Epoch 50: test=0.607
Epoch 60: test=0.614
Epoch 70: test=0.618
Epoch 80: test=0.620
Epoch 90: test=0.622
Epoch 100: test=0.619
Training Lyapunov (mult_linear, λ_reg=0.0005)...
Epoch 10: test=0.491 λ=1.881
Epoch 20: test=0.561 λ=1.843
Epoch 30: test=0.587 λ=1.837
Epoch 40: test=0.596 λ=1.835
Epoch 50: test=0.604 λ=1.831
Epoch 60: test=0.613 λ=1.842
Epoch 70: test=0.619 λ=1.842
Epoch 80: test=0.625 λ=1.851
Epoch 90: test=0.626 λ=1.853
Epoch 100: test=0.626 λ=1.855
Result: Vanilla=0.622, Lyap=0.626, Δ=+0.004
============================================================
Config: depth=4, reg_type=mult_log, λ_reg=0.0005
============================================================
Training Vanilla...
Epoch 10: test=0.502
Epoch 20: test=0.558
Epoch 30: test=0.584
Epoch 40: test=0.592
Epoch 50: test=0.605
Epoch 60: test=0.611
Epoch 70: test=0.614
Epoch 80: test=0.618
Epoch 90: test=0.622
Epoch 100: test=0.627
Training Lyapunov (mult_log, λ_reg=0.0005)...
Epoch 10: test=0.492 λ=1.898
Epoch 20: test=0.555 λ=1.862
Epoch 30: test=0.582 λ=1.859
Epoch 40: test=0.596 λ=1.856
Epoch 50: test=0.610 λ=1.860
Epoch 60: test=0.615 λ=1.863
Epoch 70: test=0.618 λ=1.866
Epoch 80: test=0.624 λ=1.871
Epoch 90: test=0.623 λ=1.872
Epoch 100: test=0.626 λ=1.873
Result: Vanilla=0.627, Lyap=0.626, Δ=-0.002
============================================================
Config: depth=4, reg_type=mult_linear, λ_reg=0.001
============================================================
Training Vanilla...
Epoch 10: test=0.486
Epoch 20: test=0.568
Epoch 30: test=0.588
Epoch 40: test=0.592
Epoch 50: test=0.604
Epoch 60: test=0.614
Epoch 70: test=0.620
Epoch 80: test=0.619
Epoch 90: test=0.625
Epoch 100: test=0.623
Training Lyapunov (mult_linear, λ_reg=0.001)...
Epoch 10: test=0.495 λ=1.894
Epoch 20: test=0.562 λ=1.857
Epoch 30: test=0.585 λ=1.854
Epoch 40: test=0.591 λ=1.848
Epoch 50: test=0.604 λ=1.851
Epoch 60: test=0.613 λ=1.852
Epoch 70: test=0.623 λ=1.864
Epoch 80: test=0.624 λ=1.866
Epoch 90: test=0.620 λ=1.863
Epoch 100: test=0.627 λ=1.868
Result: Vanilla=0.625, Lyap=0.627, Δ=+0.002
============================================================
Config: depth=4, reg_type=mult_log, λ_reg=0.001
============================================================
Training Vanilla...
Epoch 10: test=0.500
Epoch 20: test=0.563
Epoch 30: test=0.587
Epoch 40: test=0.596
Epoch 50: test=0.603
Epoch 60: test=0.613
Epoch 70: test=0.616
Epoch 80: test=0.622
Epoch 90: test=0.623
Epoch 100: test=0.623
Training Lyapunov (mult_log, λ_reg=0.001)...
Epoch 10: test=0.509 λ=1.885
Epoch 20: test=0.555 λ=1.847
Epoch 30: test=0.582 λ=1.835
Epoch 40: test=0.595 λ=1.831
Epoch 50: test=0.612 λ=1.836
Epoch 60: test=0.619 λ=1.840
Epoch 70: test=0.626 λ=1.840
Epoch 80: test=0.625 λ=1.843
Epoch 90: test=0.629 λ=1.849
Epoch 100: test=0.627 λ=1.850
Result: Vanilla=0.623, Lyap=0.629, Δ=+0.007
============================================================
Config: depth=4, reg_type=mult_linear, λ_reg=0.002
============================================================
Training Vanilla...
Epoch 10: test=0.492
Epoch 20: test=0.563
Epoch 30: test=0.568
Epoch 40: test=0.594
Epoch 50: test=0.601
Epoch 60: test=0.613
Epoch 70: test=0.618
Epoch 80: test=0.620
Epoch 90: test=0.623
Epoch 100: test=0.624
Training Lyapunov (mult_linear, λ_reg=0.002)...
Epoch 10: test=0.495 λ=1.891
Epoch 20: test=0.546 λ=1.854
Epoch 30: test=0.577 λ=1.844
Epoch 40: test=0.591 λ=1.836
Epoch 50: test=0.603 λ=1.849
Epoch 60: test=0.605 λ=1.848
Epoch 70: test=0.609 λ=1.851
Epoch 80: test=0.623 λ=1.856
Epoch 90: test=0.619 λ=1.858
Epoch 100: test=0.619 λ=1.857
Result: Vanilla=0.624, Lyap=0.623, Δ=-0.001
============================================================
Config: depth=4, reg_type=mult_log, λ_reg=0.002
============================================================
Training Vanilla...
Epoch 10: test=0.489
Epoch 20: test=0.557
Epoch 30: test=0.585
Epoch 40: test=0.581
Epoch 50: test=0.613
Epoch 60: test=0.607
Epoch 70: test=0.619
Epoch 80: test=0.622
Epoch 90: test=0.625
Epoch 100: test=0.626
Training Lyapunov (mult_log, λ_reg=0.002)...
Epoch 10: test=0.494 λ=1.890
Epoch 20: test=0.559 λ=1.843
Epoch 30: test=0.586 λ=1.831
Epoch 40: test=0.603 λ=1.826
Epoch 50: test=0.608 λ=1.829
Epoch 60: test=0.615 λ=1.844
Epoch 70: test=0.619 λ=1.853
Epoch 80: test=0.623 λ=1.856
Epoch 90: test=0.623 λ=1.853
Epoch 100: test=0.626 λ=1.852
Result: Vanilla=0.626, Lyap=0.626, Δ=-0.001
============================================================
Config: depth=4, reg_type=mult_linear, λ_reg=0.005
============================================================
Training Vanilla...
Epoch 10: test=0.491
Epoch 20: test=0.558
Epoch 30: test=0.583
Epoch 40: test=0.600
Epoch 50: test=0.600
Epoch 60: test=0.609
Epoch 70: test=0.613
Epoch 80: test=0.615
Epoch 90: test=0.621
Epoch 100: test=0.623
Training Lyapunov (mult_linear, λ_reg=0.005)...
Epoch 10: test=0.504 λ=1.864
Epoch 20: test=0.547 λ=1.848
Epoch 30: test=0.588 λ=1.839
Epoch 40: test=0.597 λ=1.830
Epoch 50: test=0.604 λ=1.833
Epoch 60: test=0.610 λ=1.840
Epoch 70: test=0.617 λ=1.850
Epoch 80: test=0.618 λ=1.852
Epoch 90: test=0.623 λ=1.857
Epoch 100: test=0.625 λ=1.851
Result: Vanilla=0.623, Lyap=0.625, Δ=+0.002
============================================================
Config: depth=4, reg_type=mult_log, λ_reg=0.005
============================================================
Training Vanilla...
Epoch 10: test=0.485
Epoch 20: test=0.550
Epoch 30: test=0.576
Epoch 40: test=0.586
Epoch 50: test=0.598
Epoch 60: test=0.611
Epoch 70: test=0.613
Epoch 80: test=0.618
Epoch 90: test=0.621
Epoch 100: test=0.619
Training Lyapunov (mult_log, λ_reg=0.005)...
Epoch 10: test=0.497 λ=1.872
Epoch 20: test=0.556 λ=1.833
Epoch 30: test=0.586 λ=1.826
Epoch 40: test=0.598 λ=1.825
Epoch 50: test=0.610 λ=1.835
Epoch 60: test=0.619 λ=1.838
Epoch 70: test=0.625 λ=1.847
Epoch 80: test=0.626 λ=1.850
Epoch 90: test=0.628 λ=1.852
Epoch 100: test=0.628 λ=1.851
Result: Vanilla=0.621, Lyap=0.628, Δ=+0.007
======================================================================
SUMMARY: DEPTH = 4
======================================================================
reg_type λ_reg Vanilla Lyapunov Δ Final λ
----------------------------------------------------------------------
mult_linear 0.00 0.622 0.626 +0.004 1.855
mult_log 0.00 0.627 0.626 -0.002 1.873
mult_linear 0.00 0.625 0.627 +0.002 1.868
mult_log 0.00 0.623 0.629 +0.007 1.850
mult_linear 0.00 0.624 0.623 -0.001 1.857
mult_log 0.00 0.626 0.626 -0.001 1.852
mult_linear 0.01 0.623 0.625 +0.002 1.851
mult_log 0.01 0.621 0.628 +0.007 1.851
----------------------------------------------------------------------
BEST: mult_log, λ_reg=0.001 → 0.629 (Δ=+0.007)
Results saved to: ./runs/scaled_grid/depth4_results.json
======================================================================
GRID SEARCH COMPLETE
======================================================================
============================================================
Finished: Wed Jan 7 09:04:04 CST 2026
============================================================
|
