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| author | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-13 23:50:59 -0600 |
|---|---|---|
| committer | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-13 23:50:59 -0600 |
| commit | 00cf667cee7ffacb144d5805fc7e0ef443f3583a (patch) | |
| tree | 77d20a3adaecf96bf3aff0612bdd3b5fa1a7dc7e /runs/slurm_logs/15345524_scaled_grid_d8.out | |
| parent | c53c04aa1d6ff75cb478a9498c370baa929c74b6 (diff) | |
| parent | cd99d6b874d9d09b3bb87b8485cc787885af71f1 (diff) | |
Merge master into main
Diffstat (limited to 'runs/slurm_logs/15345524_scaled_grid_d8.out')
| -rw-r--r-- | runs/slurm_logs/15345524_scaled_grid_d8.out | 77 |
1 files changed, 77 insertions, 0 deletions
diff --git a/runs/slurm_logs/15345524_scaled_grid_d8.out b/runs/slurm_logs/15345524_scaled_grid_d8.out new file mode 100644 index 0000000..5bf6bdb --- /dev/null +++ b/runs/slurm_logs/15345524_scaled_grid_d8.out @@ -0,0 +1,77 @@ +============================================================ +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 |