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Using device: cuda:0
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Seed 42
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--- State Bridge ---
[SB] Epoch 1: loss=2.3230, train=0.0991, test=0.1088, state_err=0.1329
[SB] Epoch 10: loss=2.3119, train=0.1013, test=0.1006, state_err=0.0093
[SB] Epoch 20: loss=2.3074, train=0.1005, test=0.0925, state_err=0.0028
[SB] Epoch 30: loss=2.3057, train=0.0977, test=0.0999, state_err=0.1014
[SB] Epoch 40: loss=2.3052, train=0.1000, test=0.0998, state_err=0.0015
[SB] Epoch 50: loss=2.3054, train=0.0998, test=0.0946, state_err=0.0032
[SB] Epoch 60: loss=2.3046, train=0.0990, test=0.1000, state_err=0.0014
[SB] Epoch 70: loss=2.3035, train=0.1014, test=0.0980, state_err=0.0009
[SB] Epoch 80: loss=2.3029, train=0.0996, test=0.0993, state_err=0.0004
[SB] Epoch 90: loss=2.3027, train=0.1008, test=0.0999, state_err=0.0004
[SB] Epoch 100: loss=2.3026, train=0.1006, test=0.0998, state_err=0.0003
Final test acc: 0.0998
--- Credit Bridge ---
[CB] Warmup phase: 20 epochs (DFA fallback + value net training)
[CB] Epoch 1 (warmup): loss=2.3207, train=0.0995, test=0.0998, vloss=0.360249
[CB] Epoch 10 (warmup): loss=2.3105, train=0.0983, test=0.1014, vloss=0.015749
[CB] Epoch 20 (warmup): loss=2.3073, train=0.0997, test=0.1000, vloss=0.010331
[CB] Epoch 30 (blend=0.50): loss=2.3055, train=0.1029, test=0.1000, vloss=0.005910
[CB] Epoch 40 (blend=1.00): loss=2.3037, train=0.1006, test=0.0993, vloss=0.001187
[CB] Epoch 50 (blend=1.00): loss=2.3034, train=0.0978, test=0.0911, vloss=0.000232
[CB] Epoch 60 (blend=1.00): loss=2.3031, train=0.0997, test=0.1149, vloss=0.000103
[CB] Epoch 70 (blend=1.00): loss=2.3028, train=0.1001, test=0.0758, vloss=0.000054
[CB] Epoch 80 (blend=1.00): loss=2.3027, train=0.0996, test=0.1083, vloss=0.000021
[CB] Epoch 90 (blend=1.00): loss=2.3027, train=0.0976, test=0.0858, vloss=0.000024
[CB] Epoch 100 (blend=1.00): loss=2.3026, train=0.0990, test=0.0853, vloss=0.000002
Final test acc: 0.0853
All results saved to results/optionSBCB_random_targets_s42/results_cifar10.json
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