hello
hello

📌 Retain class distribution for seed 8:
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

📌 Forget class distribution for seed 8:
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

📊 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: 2.3912	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4201	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3991	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3625	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3169	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2846	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2471	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2244	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1944	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3157	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2650	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.2153	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1575	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1256	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0919	LR: 0.007735
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Training Epoch: 1 [4352/46250]	Loss: 1.9243	LR: 0.008840
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Training Epoch: 1 [5888/46250]	Loss: 1.9333	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 1.8429	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.8337	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7840	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7866	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8240	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8647	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.9466	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7601	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8658	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7779	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.6742	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8150	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7555	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.6810	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7101	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8819	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7938	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7779	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7911	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7276	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.5847	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.6988	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6848	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.6039	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6554	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7900	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6723	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7974	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7877	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.9184	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.8091	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.8849	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8017	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.7050	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.7964	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7389	LR: 0.037569
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Training Epoch: 1 [18176/46250]	Loss: 1.7875	LR: 0.038674
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Training Epoch: 1 [18944/46250]	Loss: 1.8064	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7050	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.7836	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.7631	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6757	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7835	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.7819	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.7251	LR: 0.044199
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Training Epoch: 1 [21760/46250]	Loss: 1.5537	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6080	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.6781	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5977	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.5611	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6273	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.7486	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6759	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6447	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5894	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5785	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6408	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6900	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6248	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6879	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.7168	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.8002	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.7151	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.4984	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6394	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.6635	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.5846	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.7570	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.8723	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.8450	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5875	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6311	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.6804	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6367	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.4390	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.8875	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6071	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5782	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.8045	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.7791	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.7051	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6592	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.7213	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6027	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.7009	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5923	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.7362	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6554	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5836	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5010	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.6621	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5706	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5373	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5619	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5091	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4968	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5720	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.6000	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4917	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.7333	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6136	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.6139	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5744	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4121	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.7350	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4362	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4815	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.5064	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.5163	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5050	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4180	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4666	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4888	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3583	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.3621	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5247	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.3672	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5621	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.6060	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4635	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5774	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4621	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4954	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4097	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6020	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4081	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5100	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.6224	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5183	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.6333	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3785	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4583	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5023	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.6366	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4113	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.4588	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.5131	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3800	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.5659	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.5076	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.5654	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2539	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7189, Train Accuracy: 0.3720
Epoch 1 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0076, Accuracy: 0.4021, Time consumed:1.10s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.5072	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3655	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3395	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4927	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4213	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3497	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4827	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4437	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4219	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.5706	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.5514	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4463	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3740	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.5172	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3813	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3449	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.5119	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.5569	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3326	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3419	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3095	LR: 0.100000
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Training Epoch: 2 [8448/46250]	Loss: 1.3026	LR: 0.100000
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Training Epoch: 2 [14592/46250]	Loss: 1.3080	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.1393	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.4070	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.8668	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2209, Train Accuracy: 0.5633
Epoch 2 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0045, Accuracy: 0.6135, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0150	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.9930	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9613, Train Accuracy: 0.6608
Epoch 3 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6722, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8907	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.6362	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8185, Train Accuracy: 0.7118
Epoch 4 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0039, Accuracy: 0.6844, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.6857	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7214, Train Accuracy: 0.7487
Epoch 5 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7531, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.7037	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5385	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6539, Train Accuracy: 0.7710
Epoch 6 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7712, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.7455	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.6927	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6104, Train Accuracy: 0.7871
Epoch 7 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7803, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5408	LR: 0.020000
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Training Epoch: 8 [45312/46250]	Loss: 0.3873	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.3765	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4491	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4545, Train Accuracy: 0.8435
Epoch 8 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8520, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3874	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4054	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.5289	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4682	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4440	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4101, Train Accuracy: 0.8573
Epoch 9 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8567, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.2736	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3890	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3991	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4113	LR: 0.020000
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Training Epoch: 10 [1536/46250]	Loss: 0.4645	LR: 0.020000
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Training Epoch: 10 [2048/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3950	LR: 0.020000
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Training Epoch: 10 [4608/46250]	Loss: 0.3550	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.4676	LR: 0.020000
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Training Epoch: 10 [44032/46250]	Loss: 0.3872	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3483	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.3832	LR: 0.020000
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Training Epoch: 10 [45056/46250]	Loss: 0.3756	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.4139	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.3607	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.3834	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3031	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3257	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3863, Train Accuracy: 0.8656
Epoch 10 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8693, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3085	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3300	LR: 0.020000
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Training Epoch: 11 [43520/46250]	Loss: 0.4088	LR: 0.020000
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Training Epoch: 11 [44544/46250]	Loss: 0.3432	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.2863	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3446	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3192	LR: 0.020000
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Training Epoch: 11 [45824/46250]	Loss: 0.4415	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.4081	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3775	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3676, Train Accuracy: 0.8710
Epoch 11 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8640, Time consumed:0.95s
Training Epoch: 12 [256/46250]	Loss: 0.3918	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.4217	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3685	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.4044	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3339	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3709	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.4343	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.2875	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3154	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3301	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3786	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.4086	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3322	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2806	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3177	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3193	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3414	LR: 0.004000
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Training Epoch: 12 [44032/46250]	Loss: 0.2913	LR: 0.004000
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Training Epoch: 12 [44544/46250]	Loss: 0.2837	LR: 0.004000
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Training Epoch: 12 [45312/46250]	Loss: 0.3142	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.4232	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3195, Train Accuracy: 0.8894
Epoch 12 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8846, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2992	LR: 0.004000
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Training Epoch: 13 [31232/46250]	Loss: 0.3819	LR: 0.004000
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Training Epoch: 13 [43264/46250]	Loss: 0.2422	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2606	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.2715	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3261	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3788	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.2868	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2505	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3380	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3314	LR: 0.004000
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Training Epoch: 13 [45824/46250]	Loss: 0.2519	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2261	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3167	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3054, Train Accuracy: 0.8934
Epoch 13 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8845, Time consumed:0.93s
Training Epoch: 14 [256/46250]	Loss: 0.2761	LR: 0.004000
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Training Epoch: 14 [45056/46250]	Loss: 0.3390	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2382	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3939	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2995, Train Accuracy: 0.8949
Epoch 14 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8858, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2251	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3685	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2710	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.2828	LR: 0.004000
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Training Epoch: 15 [11008/46250]	Loss: 0.2888	LR: 0.004000
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Training Epoch: 15 [44288/46250]	Loss: 0.2785	LR: 0.004000
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Training Epoch: 15 [45312/46250]	Loss: 0.2997	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.3234	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3288	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2053	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2937, Train Accuracy: 0.8982
Epoch 15 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2557	LR: 0.000800
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Training Epoch: 16 [37888/46250]	Loss: 0.3056	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3391	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.3148	LR: 0.000800
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Training Epoch: 16 [41472/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2791	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3869	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3115	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3509	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3164	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.4138	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2852, Train Accuracy: 0.9004
Epoch 16 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:0.95s
Training Epoch: 17 [256/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3292	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2283	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2061	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2401	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.3732	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.2582	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.2625	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.2512	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.3212	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.2310	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.2259	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.2905	LR: 0.000800
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Training Epoch: 17 [7936/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.1925	LR: 0.000800
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Training Epoch: 17 [15872/46250]	Loss: 0.2901	LR: 0.000800
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Training Epoch: 17 [17152/46250]	Loss: 0.3382	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.2756	LR: 0.000800
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Training Epoch: 17 [41472/46250]	Loss: 0.3311	LR: 0.000800
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Training Epoch: 17 [42240/46250]	Loss: 0.3286	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2312	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2523	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.2116	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2873	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2268	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2477	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2272	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2750, Train Accuracy: 0.9052
Epoch 17 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8908, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3913	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2165	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2338	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2282	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.3481	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.3150	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.2573	LR: 0.000800
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Training Epoch: 18 [16128/46250]	Loss: 0.3416	LR: 0.000800
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Training Epoch: 18 [17664/46250]	Loss: 0.2701	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2931	LR: 0.000800
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Training Epoch: 18 [42240/46250]	Loss: 0.3313	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2322	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3759	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2459	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2968	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2743, Train Accuracy: 0.9039
Epoch 18 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8909, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.3698	LR: 0.000800
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Training Epoch: 19 [1280/46250]	Loss: 0.3513	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2457	LR: 0.000800
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Training Epoch: 19 [2048/46250]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2908	LR: 0.000800
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Training Epoch: 19 [3840/46250]	Loss: 0.1958	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3476	LR: 0.000800
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Training Epoch: 19 [5888/46250]	Loss: 0.2231	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2585	LR: 0.000800
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Training Epoch: 19 [6656/46250]	Loss: 0.3061	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.2591	LR: 0.000800
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Training Epoch: 19 [44544/46250]	Loss: 0.2790	LR: 0.000800
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Training Epoch: 19 [45056/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2583	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2562	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2729, Train Accuracy: 0.9046
Epoch 19 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8922, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_36m_38s/ResNet18-Cifar10-seed8-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2704	LR: 0.000800
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Training Epoch: 20 [44544/46250]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.3416	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2788	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2694, Train Accuracy: 0.9050
Epoch 20 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.91s
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: 89.23828125
Retain Accuracy: 91.11688232421875
Zero-Retain Forget (ZRF): 0.8331617116928101
Membership Inference Attack (MIA): 0.6096
Forget vs Retain Membership Inference Attack (MIA): 0.514
Forget vs Test Membership Inference Attack (MIA): 0.526
Test vs Retain Membership Inference Attack (MIA): 0.50725
Train vs Test Membership Inference Attack (MIA): 0.52525
Forget Set Accuracy (Df): 88.55233764648438
Method Execution Time: 1526.19 seconds
