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Sequential MNIST Experiment
Job ID: 14363511 | Node: gpub039
Start: Mon Dec 29 00:20:58 CST 2025
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NVIDIA A40, 46068 MiB
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BENCHMARK EXPERIMENT: SMNIST
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Depths: [2, 4, 6, 8, 10]
Hidden dim: 128
Epochs: 30
λ_reg: 0.3, λ_target: -0.1
Device: cuda
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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
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Depth = 2 layers
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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
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Depth = 4 layers
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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
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Depth = 6 layers
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Training VANILLA...
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