hello
hello
Labels

📌S Retain class distribution for seed 1:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 1:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
780909900

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3750	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3981	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3913	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3868	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2936	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2693	LR: 0.002762
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Training Epoch: 1 [10752/46250]	Loss: 1.7190	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.6009	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7696	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.5804	LR: 0.024309
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Training Epoch: 1 [12544/46250]	Loss: 1.5025	LR: 0.026519
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Training Epoch: 1 [13312/46250]	Loss: 1.7341	LR: 0.028177
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Training Epoch: 1 [24320/46250]	Loss: 1.6787	LR: 0.051934
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Training Epoch: 1 [25088/46250]	Loss: 1.6217	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.3131	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.3243	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4526	LR: 0.055249
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Training Epoch: 1 [28416/46250]	Loss: 1.3402	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.3811	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.2867	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5551	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.3169	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4739	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4797	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.4676	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4877	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.3630	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.4463	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4559	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.3071	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.3945	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.3161	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.1747	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.3164	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.3781	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.3664	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.1606	LR: 0.071271
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Training Epoch: 1 [34304/46250]	Loss: 1.1004	LR: 0.073481
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Training Epoch: 1 [35328/46250]	Loss: 1.3351	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.1998	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.3198	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.2569	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4404	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.3729	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.2046	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.2659	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3580	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4278	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.2201	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.2833	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.1730	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.2823	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.2390	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.2896	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.3254	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.2517	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.3743	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.2813	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.3295	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.2003	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.1323	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3200	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.2923	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.2053	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.3837	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.2957	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.3364	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5398	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.2463	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4792	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3814	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2068	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.1818	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.1754	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.3190	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.2895	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.3489	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.1407	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.2430	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4018	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.1498	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2364	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5631, Train Accuracy: 0.4348
Epoch 1 training time consumed: 18.47s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0070, Accuracy: 0.4838, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.2749	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.1442	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.1051	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 0.9984	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.0624	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 0.8875	LR: 0.020000
Training Epoch: 2 [1792/46250]	Loss: 0.9522	LR: 0.020000
Training Epoch: 2 [2048/46250]	Loss: 1.0657	LR: 0.020000
Training Epoch: 2 [2304/46250]	Loss: 1.0353	LR: 0.020000
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Training Epoch: 2 [3840/46250]	Loss: 0.8348	LR: 0.020000
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Training Epoch: 2 [22784/46250]	Loss: 0.8805	LR: 0.020000
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Training Epoch: 2 [40448/46250]	Loss: 0.7284	LR: 0.020000
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Training Epoch: 2 [41728/46250]	Loss: 0.6712	LR: 0.020000
Training Epoch: 2 [41984/46250]	Loss: 0.7155	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.7052	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.7343	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.7996	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.6816	LR: 0.020000
Training Epoch: 2 [43264/46250]	Loss: 0.8227	LR: 0.020000
Training Epoch: 2 [43520/46250]	Loss: 0.7221	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.6651	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.5722	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.7534	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.7141	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.6159	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.7111	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.6828	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.6417	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.6782	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.6698	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.8447	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8038, Train Accuracy: 0.7144
Epoch 2 training time consumed: 17.84s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0035, Accuracy: 0.6991, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.5622	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.6006	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.5913	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.6782	LR: 0.020000
Training Epoch: 3 [1280/46250]	Loss: 0.6757	LR: 0.020000
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Training Epoch: 3 [1792/46250]	Loss: 0.6722	LR: 0.020000
Training Epoch: 3 [2048/46250]	Loss: 0.5927	LR: 0.020000
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Training Epoch: 3 [5632/46250]	Loss: 0.7353	LR: 0.020000
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Training Epoch: 3 [26368/46250]	Loss: 0.5874	LR: 0.020000
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Training Epoch: 3 [27904/46250]	Loss: 0.5353	LR: 0.020000
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Training Epoch: 3 [40192/46250]	Loss: 0.7102	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.4513	LR: 0.020000
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Training Epoch: 3 [42240/46250]	Loss: 0.6325	LR: 0.020000
Training Epoch: 3 [42496/46250]	Loss: 0.5852	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.6086	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.5251	LR: 0.020000
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Training Epoch: 3 [43520/46250]	Loss: 0.5189	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.7117	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.5663	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.5437	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.5194	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.4997	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.6002	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.5948	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.4513	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.4953	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.5291	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.5060	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5923, Train Accuracy: 0.7892
Epoch 3 training time consumed: 17.62s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0032, Accuracy: 0.7335, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.5523	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.5261	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.4048	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.3407	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4499	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.4423	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.4136	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.3983	LR: 0.020000
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Training Epoch: 4 [46080/46250]	Loss: 0.3870	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4055	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4522, Train Accuracy: 0.8397
Epoch 4 training time consumed: 18.00s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7556, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3532	LR: 0.004000
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Training Epoch: 5 [28928/46250]	Loss: 0.2012	LR: 0.004000
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Training Epoch: 5 [30720/46250]	Loss: 0.2916	LR: 0.004000
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Training Epoch: 5 [37888/46250]	Loss: 0.1853	LR: 0.004000
Training Epoch: 5 [38144/46250]	Loss: 0.1837	LR: 0.004000
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Training Epoch: 5 [40448/46250]	Loss: 0.1711	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.1213	LR: 0.004000
Training Epoch: 5 [40960/46250]	Loss: 0.1949	LR: 0.004000
Training Epoch: 5 [41216/46250]	Loss: 0.2225	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.2595	LR: 0.004000
Training Epoch: 5 [41728/46250]	Loss: 0.1514	LR: 0.004000
Training Epoch: 5 [41984/46250]	Loss: 0.1704	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.1922	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.1892	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.2070	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1884	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.1451	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1986	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1670	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1991	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.1856	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1821	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1190	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.2004	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.1809	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1770	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.2163	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.2063	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2115, Train Accuracy: 0.9320
Epoch 5 training time consumed: 18.07s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8192, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1520	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1584	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1093	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1326	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1725	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.1018	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1448	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1118	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.1045	LR: 0.004000
Training Epoch: 6 [2560/46250]	Loss: 0.0897	LR: 0.004000
Training Epoch: 6 [2816/46250]	Loss: 0.1246	LR: 0.004000
Training Epoch: 6 [3072/46250]	Loss: 0.1128	LR: 0.004000
Training Epoch: 6 [3328/46250]	Loss: 0.1603	LR: 0.004000
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Training Epoch: 6 [4608/46250]	Loss: 0.1238	LR: 0.004000
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Training Epoch: 6 [5376/46250]	Loss: 0.1327	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.1777	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1533	LR: 0.004000
Training Epoch: 6 [6144/46250]	Loss: 0.1212	LR: 0.004000
Training Epoch: 6 [6400/46250]	Loss: 0.1051	LR: 0.004000
Training Epoch: 6 [6656/46250]	Loss: 0.0830	LR: 0.004000
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Training Epoch: 6 [9984/46250]	Loss: 0.1351	LR: 0.004000
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Training Epoch: 6 [11008/46250]	Loss: 0.1351	LR: 0.004000
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Training Epoch: 6 [19968/46250]	Loss: 0.1244	LR: 0.004000
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Training Epoch: 6 [28416/46250]	Loss: 0.1154	LR: 0.004000
Training Epoch: 6 [28672/46250]	Loss: 0.1088	LR: 0.004000
Training Epoch: 6 [28928/46250]	Loss: 0.0850	LR: 0.004000
Training Epoch: 6 [29184/46250]	Loss: 0.1300	LR: 0.004000
Training Epoch: 6 [29440/46250]	Loss: 0.0897	LR: 0.004000
Training Epoch: 6 [29696/46250]	Loss: 0.1011	LR: 0.004000
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Training Epoch: 6 [32256/46250]	Loss: 0.0911	LR: 0.004000
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Training Epoch: 6 [35584/46250]	Loss: 0.1067	LR: 0.004000
Training Epoch: 6 [35840/46250]	Loss: 0.1295	LR: 0.004000
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Training Epoch: 6 [36352/46250]	Loss: 0.1178	LR: 0.004000
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Training Epoch: 6 [36864/46250]	Loss: 0.0915	LR: 0.004000
Training Epoch: 6 [37120/46250]	Loss: 0.0876	LR: 0.004000
Training Epoch: 6 [37376/46250]	Loss: 0.1307	LR: 0.004000
Training Epoch: 6 [37632/46250]	Loss: 0.1635	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.1491	LR: 0.004000
Training Epoch: 6 [38144/46250]	Loss: 0.0849	LR: 0.004000
Training Epoch: 6 [38400/46250]	Loss: 0.1294	LR: 0.004000
Training Epoch: 6 [38656/46250]	Loss: 0.1367	LR: 0.004000
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Training Epoch: 6 [39168/46250]	Loss: 0.1035	LR: 0.004000
Training Epoch: 6 [39424/46250]	Loss: 0.1309	LR: 0.004000
Training Epoch: 6 [39680/46250]	Loss: 0.1138	LR: 0.004000
Training Epoch: 6 [39936/46250]	Loss: 0.1112	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.0802	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1219	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.1217	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1140	LR: 0.004000
Training Epoch: 6 [41216/46250]	Loss: 0.1243	LR: 0.004000
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Training Epoch: 6 [41728/46250]	Loss: 0.0992	LR: 0.004000
Training Epoch: 6 [41984/46250]	Loss: 0.1088	LR: 0.004000
Training Epoch: 6 [42240/46250]	Loss: 0.1215	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1193	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.1405	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.0989	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.1157	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.0816	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.1011	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.1233	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.0810	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1243	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.1396	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1457	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.0956	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1201	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1129	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.1254	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1276	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1162, Train Accuracy: 0.9680
Epoch 6 training time consumed: 17.88s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8165, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0669	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0638	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0709	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0456	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0616	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0611	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0603	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0523	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0535	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0587	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0577	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0733	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0655	LR: 0.004000
Training Epoch: 7 [3584/46250]	Loss: 0.0694	LR: 0.004000
Training Epoch: 7 [3840/46250]	Loss: 0.0725	LR: 0.004000
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Training Epoch: 7 [4352/46250]	Loss: 0.0536	LR: 0.004000
Training Epoch: 7 [4608/46250]	Loss: 0.0456	LR: 0.004000
Training Epoch: 7 [4864/46250]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [5120/46250]	Loss: 0.0802	LR: 0.004000
Training Epoch: 7 [5376/46250]	Loss: 0.0625	LR: 0.004000
Training Epoch: 7 [5632/46250]	Loss: 0.0800	LR: 0.004000
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Training Epoch: 7 [6144/46250]	Loss: 0.0741	LR: 0.004000
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Training Epoch: 7 [8192/46250]	Loss: 0.0616	LR: 0.004000
Training Epoch: 7 [8448/46250]	Loss: 0.0483	LR: 0.004000
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Training Epoch: 7 [44032/46250]	Loss: 0.0782	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0605	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0695	LR: 0.004000
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Training Epoch: 7 [45056/46250]	Loss: 0.0507	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0516	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0637	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0550	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0464	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0312	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0573, Train Accuracy: 0.9896
Epoch 7 training time consumed: 18.26s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8168, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0369	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0419	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0300	LR: 0.004000
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Training Epoch: 8 [1280/46250]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0267	LR: 0.004000
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Training Epoch: 8 [2048/46250]	Loss: 0.0309	LR: 0.004000
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Training Epoch: 8 [10496/46250]	Loss: 0.0290	LR: 0.004000
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Training Epoch: 8 [11008/46250]	Loss: 0.0451	LR: 0.004000
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Training Epoch: 8 [11520/46250]	Loss: 0.0232	LR: 0.004000
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Training Epoch: 8 [14848/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [15104/46250]	Loss: 0.0312	LR: 0.004000
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Training Epoch: 8 [16128/46250]	Loss: 0.0206	LR: 0.004000
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Training Epoch: 8 [16896/46250]	Loss: 0.0408	LR: 0.004000
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Training Epoch: 8 [24576/46250]	Loss: 0.0270	LR: 0.004000
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Training Epoch: 8 [27392/46250]	Loss: 0.0302	LR: 0.004000
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Training Epoch: 8 [28416/46250]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [28672/46250]	Loss: 0.0369	LR: 0.004000
Training Epoch: 8 [28928/46250]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0197	LR: 0.004000
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Training Epoch: 8 [32256/46250]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [32512/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [32768/46250]	Loss: 0.0173	LR: 0.004000
Training Epoch: 8 [33024/46250]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [33280/46250]	Loss: 0.0195	LR: 0.004000
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Training Epoch: 8 [33792/46250]	Loss: 0.0198	LR: 0.004000
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Training Epoch: 8 [35072/46250]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0301	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0173	LR: 0.004000
Training Epoch: 8 [35840/46250]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [36096/46250]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [36352/46250]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [36608/46250]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [36864/46250]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [37120/46250]	Loss: 0.0348	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0170	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0355	LR: 0.004000
Training Epoch: 8 [38656/46250]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [38912/46250]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [39168/46250]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [39424/46250]	Loss: 0.0168	LR: 0.004000
Training Epoch: 8 [39680/46250]	Loss: 0.0142	LR: 0.004000
Training Epoch: 8 [39936/46250]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [40192/46250]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0378	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [40960/46250]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [41216/46250]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0450	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0155	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0377	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0179	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0251, Train Accuracy: 0.9975
Epoch 8 training time consumed: 17.76s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8192, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0191	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [6400/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [6656/46250]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [6912/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [7168/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [7680/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [7936/46250]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [8192/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [8448/46250]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [8704/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [8960/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [9216/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [9472/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [9728/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [10752/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [11008/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [13056/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [13312/46250]	Loss: 0.0177	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [13824/46250]	Loss: 0.0109	LR: 0.000800
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Training Epoch: 9 [14848/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [15104/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [15360/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [15616/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [15872/46250]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 9 [16640/46250]	Loss: 0.0097	LR: 0.000800
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Training Epoch: 9 [20480/46250]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 9 [22272/46250]	Loss: 0.0128	LR: 0.000800
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Training Epoch: 9 [23040/46250]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 9 [26624/46250]	Loss: 0.0135	LR: 0.000800
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Training Epoch: 9 [27904/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [28160/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [28416/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [28672/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [28928/46250]	Loss: 0.0081	LR: 0.000800
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Training Epoch: 9 [29440/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [29696/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [29952/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [30208/46250]	Loss: 0.0111	LR: 0.000800
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Training Epoch: 9 [30976/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 9 [33536/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 9 [35328/46250]	Loss: 0.0109	LR: 0.000800
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Training Epoch: 9 [35840/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [36864/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [37120/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0172	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0119, Train Accuracy: 0.9999
Epoch 9 training time consumed: 18.10s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8255, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [5632/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [5888/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 10 [6144/46250]	Loss: 0.0102	LR: 0.000800
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Training Epoch: 10 [6656/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [6912/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [7168/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 10 [8192/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [8448/46250]	Loss: 0.0078	LR: 0.000800
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Training Epoch: 10 [10240/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [10752/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [11008/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [11264/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [11520/46250]	Loss: 0.0108	LR: 0.000800
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Training Epoch: 10 [12032/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [12288/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [12544/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [12800/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [13056/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [13312/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [13824/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [14080/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [14336/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [14848/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [15104/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [15360/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [18176/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 10 [19968/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [20480/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [20736/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 10 [22016/46250]	Loss: 0.0099	LR: 0.000800
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Training Epoch: 10 [22528/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [22784/46250]	Loss: 0.0093	LR: 0.000800
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Training Epoch: 10 [25344/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [25600/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 10 [26368/46250]	Loss: 0.0089	LR: 0.000800
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Training Epoch: 10 [27904/46250]	Loss: 0.0115	LR: 0.000800
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Training Epoch: 10 [28416/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [28672/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [28928/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [29184/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [29440/46250]	Loss: 0.0101	LR: 0.000800
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Training Epoch: 10 [29952/46250]	Loss: 0.0084	LR: 0.000800
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Training Epoch: 10 [30720/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [30976/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [31232/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [31488/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [31744/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [32256/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [32512/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [32768/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 10 [33536/46250]	Loss: 0.0083	LR: 0.000800
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Training Epoch: 10 [34816/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [35072/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [35328/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [35584/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [35840/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [36352/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [36608/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [36864/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [37120/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [37376/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [37632/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [37888/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [38144/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [38400/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [38656/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [38912/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [39168/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [39424/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [39680/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [40192/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [40448/46250]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0085	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0102, Train Accuracy: 1.0000
Epoch 10 training time consumed: 18.26s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8241, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_00m_34s/ResNet18-Cifar10-seed1-ret25-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 82.3828125
Retain Accuracy: 99.99784088134766
Zero-Retain Forget (ZRF): 0.7807226181030273
Membership Inference Attack (MIA): 0.6234666666666666
Forget vs Retain Membership Inference Attack (MIA): 0.6286666666666667
Forget vs Test Membership Inference Attack (MIA): 0.49066666666666664
Test vs Retain Membership Inference Attack (MIA): 0.61075
Train vs Test Membership Inference Attack (MIA): 0.6325
Forget Set Accuracy (Df): 83.04782104492188
Method Execution Time: 1102.46 seconds
