hello
hello

📌 Retain class distribution for seed 5:
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 5:
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: 2.3481	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3560	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3513	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3260	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2955	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2757	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2384	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.1899	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1933	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.1745	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2485	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.0653	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.0886	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1037	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0233	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9951	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.8987	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.9333	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.8906	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8900	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.8539	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9407	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9226	LR: 0.012155
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Training Epoch: 1 [6400/46250]	Loss: 1.8450	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9137	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.7882	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.8016	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8178	LR: 0.015470
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Training Epoch: 1 [7936/46250]	Loss: 1.7888	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.8393	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8824	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8870	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.9013	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8383	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8396	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7622	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7770	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8573	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7641	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7495	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7331	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8514	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8908	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7173	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.9532	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7294	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8412	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.6775	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7066	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.8296	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7931	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6157	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7972	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6484	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7845	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6946	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6556	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7737	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6885	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6726	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.6480	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7070	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.5703	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7901	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8421	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6920	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7601	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7477	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7258	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6479	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.5330	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7027	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7598	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6252	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5871	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.4927	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6505	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.8116	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6078	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.8837	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.6014	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6947	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7649	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6712	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5773	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6581	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6791	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5278	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.7863	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6714	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6156	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.7964	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.6790	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.7325	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6770	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6459	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6791	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.7237	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5775	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6733	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5249	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5215	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7402	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.5606	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.4359	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6881	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.4796	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5873	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6526	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5851	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6766	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.7490	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4532	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.7661	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5501	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.7533	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5152	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.9797	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6974	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.7614	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.8115	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5374	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.7105	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.7146	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5358	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.7579	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.6558	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5263	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.6142	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.6545	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.6586	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.6904	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.6358	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5797	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5922	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5828	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5237	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6516	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4938	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5192	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.6110	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4362	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4738	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4080	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.6031	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.6500	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5488	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5655	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3882	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4691	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5247	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.6282	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5103	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4941	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5978	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5889	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4648	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.6754	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4871	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5461	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4177	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6079	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.6041	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5426	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5099	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5054	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.6133	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3554	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5139	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4778	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.2780	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4324	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5315	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4255	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.2989	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3460	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4725	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3105	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4326	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7083, Train Accuracy: 0.3741
Epoch 1 training time consumed: 28.34s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0066, Accuracy: 0.4514, Time consumed:1.09s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3886	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4186	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4742	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.3444	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4200	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.4134	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3639	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4140	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3807	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4775	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.5401	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.2701	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3386	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3192	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3302	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3119	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3931	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3966	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3824	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.4899	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2637	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.4155	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.4933	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.4048	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3639	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3180	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3479	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.2301	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.3285	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.2485	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2325	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4155	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.1925	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.4111	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2563	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.2305	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2692	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.3617	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.2392	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.2857	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3286	LR: 0.100000
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Training Epoch: 2 [11008/46250]	Loss: 1.3122	LR: 0.100000
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Training Epoch: 2 [11776/46250]	Loss: 1.2048	LR: 0.100000
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Training Epoch: 2 [12288/46250]	Loss: 1.2682	LR: 0.100000
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Training Epoch: 2 [12800/46250]	Loss: 1.4623	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.3402	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.2893	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.2805	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.3310	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.2848	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.3720	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3023	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.3675	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.2251	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.2018	LR: 0.100000
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Training Epoch: 2 [17920/46250]	Loss: 1.1695	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.1660	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.1913	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.1341	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.1857	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.3695	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.3395	LR: 0.100000
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Training Epoch: 2 [20224/46250]	Loss: 1.3497	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2659	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.3217	LR: 0.100000
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Training Epoch: 2 [22272/46250]	Loss: 1.2301	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1608	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2956	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2000	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.3405	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.0264	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2106, Train Accuracy: 0.5655
Epoch 2 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.6045, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0652	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.9611	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9453, Train Accuracy: 0.6674
Epoch 3 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0048, Accuracy: 0.6104, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.9089	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.7196	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7953, Train Accuracy: 0.7211
Epoch 4 training time consumed: 27.61s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7150, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.7051	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7135, Train Accuracy: 0.7498
Epoch 5 training time consumed: 27.53s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.7176, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6759	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6680	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6479, Train Accuracy: 0.7740
Epoch 6 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7613, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6074	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.5515	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5984, Train Accuracy: 0.7917
Epoch 7 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7900, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5928	LR: 0.020000
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Training Epoch: 8 [45312/46250]	Loss: 0.3610	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.3941	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.3852	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4250	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3297	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4482, Train Accuracy: 0.8435
Epoch 8 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8555, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3659	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.2796	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4031	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3111	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4010, Train Accuracy: 0.8590
Epoch 9 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8590, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4068	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3629	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4064	LR: 0.020000
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Training Epoch: 10 [2048/46250]	Loss: 0.3835	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.4801	LR: 0.020000
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Training Epoch: 10 [43776/46250]	Loss: 0.3518	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3371	LR: 0.020000
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Training Epoch: 10 [44544/46250]	Loss: 0.4187	LR: 0.020000
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Training Epoch: 10 [45312/46250]	Loss: 0.3562	LR: 0.020000
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Training Epoch: 10 [45824/46250]	Loss: 0.4318	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3114	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4694	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3786, Train Accuracy: 0.8688
Epoch 10 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8704, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3609	LR: 0.020000
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Training Epoch: 11 [44800/46250]	Loss: 0.3463	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3401	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3168	LR: 0.020000
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Training Epoch: 11 [45824/46250]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3274	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.4498	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3631, Train Accuracy: 0.8734
Epoch 11 training time consumed: 27.64s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8599, Time consumed:0.87s
Training Epoch: 12 [256/46250]	Loss: 0.3678	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3916	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3135	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.2416	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3211	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3245	LR: 0.004000
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Training Epoch: 12 [2560/46250]	Loss: 0.2955	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3589	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3082	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3188	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3338	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2933	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3271	LR: 0.004000
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Training Epoch: 12 [44032/46250]	Loss: 0.3436	LR: 0.004000
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Training Epoch: 12 [44544/46250]	Loss: 0.3053	LR: 0.004000
Training Epoch: 12 [44800/46250]	Loss: 0.3519	LR: 0.004000
Training Epoch: 12 [45056/46250]	Loss: 0.3698	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.3100	LR: 0.004000
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Training Epoch: 12 [45824/46250]	Loss: 0.3188	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2395	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3175, Train Accuracy: 0.8893
Epoch 12 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8817, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3102	LR: 0.004000
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Training Epoch: 13 [42496/46250]	Loss: 0.2897	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3632	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.2705	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.2554	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2533	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.2994	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3375	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3003	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3200	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2615	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2218	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3299	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3222	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3020, Train Accuracy: 0.8939
Epoch 13 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8829, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2114	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2613	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2811	LR: 0.004000
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Training Epoch: 14 [44800/46250]	Loss: 0.3036	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.3367	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2991	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2350	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2951, Train Accuracy: 0.8970
Epoch 14 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8845, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2709	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3290	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3321	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2372	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.2732	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2025	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2914, Train Accuracy: 0.8980
Epoch 15 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8849, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2692	LR: 0.000800
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Training Epoch: 16 [37376/46250]	Loss: 0.2790	LR: 0.000800
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Training Epoch: 16 [43008/46250]	Loss: 0.2659	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3703	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3293	LR: 0.000800
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Training Epoch: 16 [45056/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2987	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2593	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2540	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2780, Train Accuracy: 0.9020
Epoch 16 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8876, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2885	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.2826	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2788	LR: 0.000800
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Training Epoch: 17 [46250/46250]	Loss: 0.1933	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2772, Train Accuracy: 0.9040
Epoch 17 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8867, Time consumed:0.93s
Training Epoch: 18 [256/46250]	Loss: 0.2371	LR: 0.000800
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Training Epoch: 18 [1024/46250]	Loss: 0.3382	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2139	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2363	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2717	LR: 0.000800
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Training Epoch: 18 [41472/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3033	LR: 0.000800
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Training Epoch: 18 [43264/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3217	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2300	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3505	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2509	LR: 0.000800
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Training Epoch: 18 [45056/46250]	Loss: 0.3139	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2177	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.1758	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.4118	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2690, Train Accuracy: 0.9059
Epoch 18 training time consumed: 27.67s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8892, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_19m_19s/ResNet18-Cifar10-seed5-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2851	LR: 0.000800
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Training Epoch: 19 [1536/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2827	LR: 0.000800
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Training Epoch: 19 [2560/46250]	Loss: 0.3424	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2561	LR: 0.000800
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Training Epoch: 19 [3584/46250]	Loss: 0.2841	LR: 0.000800
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Training Epoch: 19 [4608/46250]	Loss: 0.2640	LR: 0.000800
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Training Epoch: 19 [6144/46250]	Loss: 0.2849	LR: 0.000800
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Training Epoch: 19 [20224/46250]	Loss: 0.3314	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.2754	LR: 0.000800
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Training Epoch: 19 [27904/46250]	Loss: 0.3086	LR: 0.000800
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Training Epoch: 19 [44032/46250]	Loss: 0.2035	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.1957	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.1960	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2179	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2836	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2678, Train Accuracy: 0.9070
Epoch 19 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8887, Time consumed:0.88s
Training Epoch: 20 [256/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3138	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2258	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2437	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2656	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2385	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2477	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.3434	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2531	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2835	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2089	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2456	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.2253	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.3470	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2524	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.2153	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.1936	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.3210	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.2075	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.2095	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.2048	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.2068	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.1693	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2096	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2758	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.3333	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2059	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.1736	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.3021	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2523	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.3596	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.2591	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.2151	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.2088	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.3450	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.3404	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.3476	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2093	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.2131	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.3588	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.2369	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.2594	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.2063	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.1553	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.2102	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.3303	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.2397	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.3096	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2494	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.2119	LR: 0.000800
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Training Epoch: 20 [34816/46250]	Loss: 0.2726	LR: 0.000800
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Training Epoch: 20 [35328/46250]	Loss: 0.2243	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.3615	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.2000	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.2312	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.2274	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.2041	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.3411	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.2372	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2293	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.2228	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2456	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2050	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2168	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2913	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2660, Train Accuracy: 0.9077
Epoch 20 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8888, Time consumed:0.88s
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: 88.994140625
Retain Accuracy: 91.07588195800781
Zero-Retain Forget (ZRF): 0.8252826929092407
Membership Inference Attack (MIA): 0.6349333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.49533333333333335
Forget vs Test Membership Inference Attack (MIA): 0.5333333333333333
Test vs Retain Membership Inference Attack (MIA): 0.49925
Train vs Test Membership Inference Attack (MIA): 0.51925
Forget Set Accuracy (Df): 88.26806640625
Method Execution Time: 1523.17 seconds
