[2025-11-28 01:23:54] Namespace(method='FedNewton', training_mode='head', dataset='cifar10', model_name='vit_base_patch14_dinov2.lvd142m', seed=1, 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 01:23:54] Start: FedNewton | Mode: head | Dataset: cifar10 | Device: cuda
[2025-11-28 01:28:31] [Round 001] FedNewton | Acc: 48.83% | Loss: 1.5672 | Time: 156.32s | Max GPU Mem: 7731.38 MB
[2025-11-28 01:31:07] [Round 002] FedNewton | Acc: 70.53% | Loss: 1.0550 | Time: 156.49s | Max GPU Mem: 7731.47 MB
[2025-11-28 01:33:37] [Round 003] FedNewton | Acc: 82.84% | Loss: 0.7469 | Time: 149.38s | Max GPU Mem: 7731.47 MB
[2025-11-28 01:36:02] [Round 004] FedNewton | Acc: 91.91% | Loss: 0.4852 | Time: 144.83s | Max GPU Mem: 7731.50 MB
[2025-11-28 01:38:37] [Round 005] FedNewton | Acc: 95.43% | Loss: 0.3270 | Time: 155.82s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:41:12] [Round 006] FedNewton | Acc: 97.28% | Loss: 0.1954 | Time: 154.64s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:43:26] [Round 007] FedNewton | Acc: 97.90% | Loss: 0.1219 | Time: 133.99s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:46:01] [Round 008] FedNewton | Acc: 98.21% | Loss: 0.0859 | Time: 154.76s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:48:17] [Round 009] FedNewton | Acc: 98.45% | Loss: 0.0666 | Time: 135.68s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:50:35] [Round 010] FedNewton | Acc: 97.90% | Loss: 0.0777 | Time: 138.33s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:53:17] [Round 011] FedNewton | Acc: 59.90% | Loss: 10.4598 | Time: 162.44s | Max GPU Mem: 7731.56 MB
[2025-11-28 01:53:17] Early stopping as test loss is very high.
[2025-11-28 01:53:17] Saved to runs/multimodel_20251127_200819_cifar10/vit_base_patch14_dinov2.lvd142m/logs/FedNewton_head_cifar10_vit_base_patch14_dinov2.lvd142m_s1.npz
