[2025-11-27 04:27:46] Namespace(method='FedAvg', training_mode='head', dataset='fashionmnist', model_name='resnet18', seed=2, rounds=50, num_clients=10, fraction=0.5, local_epochs=1, batch_size=64, lr=0.01, newton_lr=0.1, sophia_lr=0.05, rho=0.04, betas='0.9,0.99', mu=0.01, log_dir='runs/run_20251127_001608_resnet18_head/fashionmnist/logs', optimizer='sgd', hessian_batches=32, damping=0.01, alpha=0.5)
[2025-11-27 04:27:46] Start: FedAvg | Mode: head | Dataset: fashionmnist | Device: cuda
[2025-11-27 04:30:37] [Round 001] FedAvg | Acc: 46.77% | Loss: 1.4308 | Time: 58.19s | Max GPU Mem: 1506.73 MB
[2025-11-27 04:31:46] [Round 002] FedAvg | Acc: 71.21% | Loss: 0.9310 | Time: 69.59s | Max GPU Mem: 1507.92 MB
[2025-11-27 04:32:42] [Round 003] FedAvg | Acc: 75.60% | Loss: 0.7421 | Time: 55.91s | Max GPU Mem: 1506.79 MB
[2025-11-27 04:33:36] [Round 004] FedAvg | Acc: 75.84% | Loss: 0.6948 | Time: 53.39s | Max GPU Mem: 1507.58 MB
[2025-11-27 04:34:16] [Round 005] FedAvg | Acc: 71.34% | Loss: 0.7930 | Time: 40.25s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:35:19] [Round 006] FedAvg | Acc: 74.07% | Loss: 0.7148 | Time: 62.99s | Max GPU Mem: 1507.33 MB
[2025-11-27 04:36:23] [Round 007] FedAvg | Acc: 77.40% | Loss: 0.6318 | Time: 63.59s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:37:36] [Round 008] FedAvg | Acc: 78.79% | Loss: 0.6154 | Time: 73.02s | Max GPU Mem: 1507.58 MB
[2025-11-27 04:38:32] [Round 009] FedAvg | Acc: 76.10% | Loss: 0.7445 | Time: 56.50s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:39:25] [Round 010] FedAvg | Acc: 80.96% | Loss: 0.5578 | Time: 53.28s | Max GPU Mem: 1507.33 MB
[2025-11-27 04:40:20] [Round 011] FedAvg | Acc: 81.39% | Loss: 0.5370 | Time: 54.29s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:41:10] [Round 012] FedAvg | Acc: 82.61% | Loss: 0.5301 | Time: 49.95s | Max GPU Mem: 1507.58 MB
[2025-11-27 04:42:12] [Round 013] FedAvg | Acc: 81.01% | Loss: 0.5567 | Time: 62.87s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:43:06] [Round 014] FedAvg | Acc: 75.24% | Loss: 0.6723 | Time: 53.19s | Max GPU Mem: 1507.33 MB
[2025-11-27 04:44:23] [Round 015] FedAvg | Acc: 76.92% | Loss: 0.6378 | Time: 77.63s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:45:25] [Round 016] FedAvg | Acc: 81.24% | Loss: 0.5300 | Time: 61.26s | Max GPU Mem: 1507.58 MB
[2025-11-27 04:46:21] [Round 017] FedAvg | Acc: 81.34% | Loss: 0.5256 | Time: 56.10s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:47:34] [Round 018] FedAvg | Acc: 81.96% | Loss: 0.5059 | Time: 73.74s | Max GPU Mem: 1507.33 MB
[2025-11-27 04:48:53] [Round 019] FedAvg | Acc: 76.44% | Loss: 0.6226 | Time: 78.99s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:49:55] [Round 020] FedAvg | Acc: 78.90% | Loss: 0.5589 | Time: 61.98s | Max GPU Mem: 1507.58 MB
[2025-11-27 04:51:07] [Round 021] FedAvg | Acc: 78.69% | Loss: 0.5885 | Time: 71.62s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:52:25] [Round 022] FedAvg | Acc: 81.08% | Loss: 0.5137 | Time: 78.07s | Max GPU Mem: 1507.33 MB
[2025-11-27 04:54:04] [Round 023] FedAvg | Acc: 79.60% | Loss: 0.5442 | Time: 98.50s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:55:25] [Round 024] FedAvg | Acc: 81.78% | Loss: 0.4996 | Time: 81.01s | Max GPU Mem: 1507.58 MB
[2025-11-27 04:56:33] [Round 025] FedAvg | Acc: 84.06% | Loss: 0.4626 | Time: 68.68s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:57:36] [Round 026] FedAvg | Acc: 81.88% | Loss: 0.5100 | Time: 62.33s | Max GPU Mem: 1507.33 MB
[2025-11-27 04:58:40] [Round 027] FedAvg | Acc: 80.53% | Loss: 0.5224 | Time: 64.51s | Max GPU Mem: 1507.46 MB
[2025-11-27 04:59:28] [Round 028] FedAvg | Acc: 77.84% | Loss: 0.6259 | Time: 47.61s | Max GPU Mem: 1507.58 MB
[2025-11-27 05:00:27] [Round 029] FedAvg | Acc: 83.34% | Loss: 0.4807 | Time: 58.85s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:01:32] [Round 030] FedAvg | Acc: 81.88% | Loss: 0.4899 | Time: 65.73s | Max GPU Mem: 1507.33 MB
[2025-11-27 05:02:26] [Round 031] FedAvg | Acc: 81.25% | Loss: 0.5056 | Time: 53.70s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:03:23] [Round 032] FedAvg | Acc: 79.13% | Loss: 0.6019 | Time: 56.71s | Max GPU Mem: 1507.58 MB
[2025-11-27 05:04:25] [Round 033] FedAvg | Acc: 82.71% | Loss: 0.4780 | Time: 62.48s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:05:24] [Round 034] FedAvg | Acc: 82.88% | Loss: 0.4697 | Time: 59.23s | Max GPU Mem: 1507.33 MB
[2025-11-27 05:06:20] [Round 035] FedAvg | Acc: 80.03% | Loss: 0.5293 | Time: 55.39s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:07:12] [Round 036] FedAvg | Acc: 84.62% | Loss: 0.4365 | Time: 52.57s | Max GPU Mem: 1507.58 MB
[2025-11-27 05:08:15] [Round 037] FedAvg | Acc: 81.24% | Loss: 0.5089 | Time: 62.96s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:09:10] [Round 038] FedAvg | Acc: 84.93% | Loss: 0.4341 | Time: 54.16s | Max GPU Mem: 1507.33 MB
[2025-11-27 05:09:58] [Round 039] FedAvg | Acc: 84.23% | Loss: 0.4460 | Time: 48.59s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:10:18] [Round 040] FedAvg | Acc: 80.06% | Loss: 0.5394 | Time: 20.19s | Max GPU Mem: 1507.58 MB
[2025-11-27 05:10:36] [Round 041] FedAvg | Acc: 84.15% | Loss: 0.4396 | Time: 17.37s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:10:55] [Round 042] FedAvg | Acc: 85.39% | Loss: 0.4228 | Time: 19.26s | Max GPU Mem: 1507.33 MB
[2025-11-27 05:11:26] [Round 043] FedAvg | Acc: 83.34% | Loss: 0.4632 | Time: 31.05s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:12:32] [Round 044] FedAvg | Acc: 83.67% | Loss: 0.4623 | Time: 65.64s | Max GPU Mem: 1507.58 MB
[2025-11-27 05:13:37] [Round 045] FedAvg | Acc: 81.12% | Loss: 0.5094 | Time: 65.15s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:14:36] [Round 046] FedAvg | Acc: 81.07% | Loss: 0.5010 | Time: 59.60s | Max GPU Mem: 1507.33 MB
[2025-11-27 05:15:54] [Round 047] FedAvg | Acc: 84.20% | Loss: 0.4436 | Time: 77.63s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:16:26] [Round 048] FedAvg | Acc: 84.26% | Loss: 0.4412 | Time: 31.77s | Max GPU Mem: 1507.58 MB
[2025-11-27 05:16:49] [Round 049] FedAvg | Acc: 83.45% | Loss: 0.4596 | Time: 23.46s | Max GPU Mem: 1507.46 MB
[2025-11-27 05:17:10] [Round 050] FedAvg | Acc: 82.84% | Loss: 0.4674 | Time: 20.99s | Max GPU Mem: 1507.33 MB
[2025-11-27 05:17:10] Saved to runs/run_20251127_001608_resnet18_head/fashionmnist/logs/FedAvg_head_fashionmnist_resnet18_s2.npz
