diff options
| 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/15345525_scaled_grid_d12.out | |
| parent | c53c04aa1d6ff75cb478a9498c370baa929c74b6 (diff) | |
| parent | cd99d6b874d9d09b3bb87b8485cc787885af71f1 (diff) | |
Merge master into main
Diffstat (limited to 'runs/slurm_logs/15345525_scaled_grid_d12.out')
| -rw-r--r-- | runs/slurm_logs/15345525_scaled_grid_d12.out | 70 |
1 files changed, 70 insertions, 0 deletions
diff --git a/runs/slurm_logs/15345525_scaled_grid_d12.out b/runs/slurm_logs/15345525_scaled_grid_d12.out new file mode 100644 index 0000000..ad148fc --- /dev/null +++ b/runs/slurm_logs/15345525_scaled_grid_d12.out @@ -0,0 +1,70 @@ +============================================================ +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 |