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diff --git a/runs/slurm_logs/14363511_smnist.out b/runs/slurm_logs/14363511_smnist.out new file mode 100644 index 0000000..9885a77 --- /dev/null +++ b/runs/slurm_logs/14363511_smnist.out @@ -0,0 +1,47 @@ +============================================================ +Sequential MNIST Experiment +Job ID: 14363511 | Node: gpub039 +Start: Mon Dec 29 00:20:58 CST 2025 +============================================================ +NVIDIA A40, 46068 MiB +============================================================ +====================================================================== +BENCHMARK EXPERIMENT: SMNIST +====================================================================== +Depths: [2, 4, 6, 8, 10] +Hidden dim: 128 +Epochs: 30 +λ_reg: 0.3, λ_target: -0.1 +Device: cuda +====================================================================== + +Loading smnist dataset... +Dataset info: {'T': 784, 'D': 1, 'classes': 10, 'description': 'Sequential MNIST - 784 timesteps, 1 pixel at a time'} +Train batches: 469, Val batches: 79 + +============================================================ +Depth = 2 layers +============================================================ + + Training VANILLA... + Final: loss=1.0723 acc=0.645 val_acc=0.645 λ=N/A + + Training LYAPUNOV... + Final: loss=1.1430 acc=0.630 val_acc=0.627 λ=0.245 + +============================================================ +Depth = 4 layers +============================================================ + + Training VANILLA... + Final: loss=0.7247 acc=0.761 val_acc=0.773 λ=N/A + + Training LYAPUNOV... + Training diverged at epoch 25 + Final: loss=nan acc=0.000 val_acc=0.000 λ=N/A + +============================================================ +Depth = 6 layers +============================================================ + + Training VANILLA... |