[2025-11-28 01:27:43] Namespace(method='FedNewton', training_mode='head', dataset='cifar10', model_name='vit_base_patch14_dinov2.lvd142m', seed=2, rounds=50, num_clients=10, fraction=0.5, local_epochs=1, batch_size=32, lr=0.01, newton_lr=0.01, sophia_lr=0.05, rho=0.04, betas='0.9,0.99', mu=0.01, log_dir='runs/multimodel_20251127_200819_cifar10/vit_base_patch14_dinov2.lvd142m/logs', optimizer='sgd', hessian_batches=64, damping=1e-05, alpha=0.5, max_norm=0)
[2025-11-28 01:27:43] Start: FedNewton | Mode: head | Dataset: cifar10 | Device: cuda
[2025-11-28 01:31:27] [Round 001] FedNewton | Acc: 43.82% | Loss: 1.6734 | Time: 143.33s | Max GPU Mem: 7731.38 MB
[2025-11-28 01:33:34] [Round 002] FedNewton | Acc: 65.17% | Loss: 1.0786 | Time: 126.99s | Max GPU Mem: 7731.47 MB
[2025-11-28 01:36:13] [Round 003] FedNewton | Acc: 80.54% | Loss: 0.7178 | Time: 158.56s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:38:34] [Round 004] FedNewton | Acc: 89.86% | Loss: 0.4923 | Time: 140.95s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:41:18] [Round 005] FedNewton | Acc: 94.20% | Loss: 0.3258 | Time: 164.34s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:43:39] [Round 006] FedNewton | Acc: 96.92% | Loss: 0.2136 | Time: 140.78s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:46:08] [Round 007] FedNewton | Acc: 97.66% | Loss: 0.1350 | Time: 149.13s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:48:29] [Round 008] FedNewton | Acc: 98.03% | Loss: 0.0943 | Time: 140.74s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:50:52] [Round 009] FedNewton | Acc: 96.96% | Loss: 0.1184 | Time: 143.33s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:53:23] [Round 010] FedNewton | Acc: 84.11% | Loss: 3.1608 | Time: 150.64s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:56:10] [Round 011] FedNewton | Acc: 13.36% | Loss: 316.8301 | Time: 167.56s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:56:10] Early stopping as test loss is very high.
[2025-11-28 01:56:10] Saved to runs/multimodel_20251127_200819_cifar10/vit_base_patch14_dinov2.lvd142m/logs/FedNewton_head_cifar10_vit_base_patch14_dinov2.lvd142m_s2.npz
