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Diffstat (limited to 'runs/slurm_logs/15345523_scaled_grid_d4.out')
| -rw-r--r-- | runs/slurm_logs/15345523_scaled_grid_d4.out | 103 |
1 files changed, 103 insertions, 0 deletions
diff --git a/runs/slurm_logs/15345523_scaled_grid_d4.out b/runs/slurm_logs/15345523_scaled_grid_d4.out new file mode 100644 index 0000000..29ecb7f --- /dev/null +++ b/runs/slurm_logs/15345523_scaled_grid_d4.out @@ -0,0 +1,103 @@ +============================================================ +SCALED REGULARIZATION GRID SEARCH - DEPTH 4 +Job ID: 15345523 | Node: gpub081 +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: 4 +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=4, reg_type=mult_linear, λ_reg=0.01 +============================================================ + Training Vanilla... + Epoch 10: test=0.482 + Epoch 20: test=0.553 + Epoch 30: test=0.584 + Epoch 40: test=0.597 + Epoch 50: test=0.603 + Epoch 60: test=0.611 + Epoch 70: test=0.611 + Epoch 80: test=0.616 + Epoch 90: test=0.621 + Epoch 100: test=0.620 + Training Lyapunov (mult_linear, λ_reg=0.01)... + Epoch 10: test=0.462 λ=1.872 + Epoch 20: test=0.537 λ=1.833 + Epoch 30: test=0.568 λ=1.815 + Epoch 40: test=0.580 λ=1.802 + Epoch 50: test=0.568 λ=1.793 + Epoch 60: test=0.586 λ=1.794 + Epoch 70: test=0.592 λ=1.794 + Epoch 80: test=0.592 λ=1.793 + Epoch 90: test=0.595 λ=1.796 + Epoch 100: test=0.589 λ=1.795 + Result: Vanilla=0.621, Lyap=0.595, Δ=-0.026 + +============================================================ +Config: depth=4, reg_type=mult_squared, λ_reg=0.01 +============================================================ + Training Vanilla... + Epoch 10: test=0.512 + Epoch 20: test=0.552 + Epoch 30: test=0.579 + Epoch 40: test=0.586 + Epoch 50: test=0.596 + Epoch 60: test=0.609 + Epoch 70: test=0.610 + Epoch 80: test=0.616 + Epoch 90: test=0.618 + Epoch 100: test=0.617 + Training Lyapunov (mult_squared, λ_reg=0.01)... + Epoch 10: test=0.101 λ=1.471 + Epoch 20: test=0.057 λ=1.450 + Epoch 30: test=0.036 λ=1.447 + Epoch 40: test=0.017 λ=1.448 + Epoch 50: test=0.033 λ=1.454 + Epoch 60: test=0.044 λ=1.457 + Epoch 70: test=0.038 λ=1.457 + Epoch 80: test=0.035 λ=1.454 + Epoch 90: test=0.044 λ=1.457 + Epoch 100: test=0.035 λ=1.456 + Result: Vanilla=0.618, Lyap=0.101, Δ=-0.517 + +============================================================ +Config: depth=4, reg_type=mult_log, λ_reg=0.01 +============================================================ + Training Vanilla... + Epoch 10: test=0.483 + Epoch 20: test=0.548 + Epoch 30: test=0.578 + Epoch 40: test=0.597 + Epoch 50: test=0.600 + Epoch 60: test=0.609 + Epoch 70: test=0.614 + Epoch 80: test=0.610 + Epoch 90: test=0.617 + Epoch 100: test=0.618 + Training Lyapunov (mult_log, λ_reg=0.01)... + Epoch 10: test=0.481 λ=1.889 + Epoch 20: test=0.543 λ=1.852 + Epoch 30: test=0.577 λ=1.841 + Epoch 40: test=0.586 λ=1.841 + Epoch 50: test=0.595 λ=1.842 + Epoch 60: test=0.607 λ=1.846 + Epoch 70: test=0.612 λ=1.854 + Epoch 80: test=0.614 λ=1.855 |