
Retain class distribution for seed 3:
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 3:
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
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3217	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3497	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3170	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3154	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2921	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2685	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2611	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2429	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1922	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2404	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2225	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1005	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1001	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.0686	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0575	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0293	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9981	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.8453	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9313	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8587	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9280	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9864	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8603	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.8853	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.8791	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9234	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.7538	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.7751	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.7957	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.8146	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.7467	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.8025	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8188	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.9300	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7834	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7373	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7109	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8381	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7509	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7446	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8918	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7561	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.6970	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8597	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7911	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.8357	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8371	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8573	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8569	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 2.1793	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8524	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7925	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 2.1152	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.9846	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7833	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.9201	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.9375	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.8220	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.9841	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7996	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.8085	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.9987	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.6815	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6955	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.9162	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7863	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6823	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.7243	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.6240	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.5669	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.6666	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6895	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.5798	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.6670	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7173	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6592	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.7298	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7518	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7613	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6738	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6915	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.8221	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.6882	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6694	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7936	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.7936	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.8839	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6728	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.7023	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6287	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.8184	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5019	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.7191	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.7669	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.6877	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6309	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7809	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5790	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5387	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6286	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5149	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5788	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.6046	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6480	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.9584	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.7090	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.6466	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6387	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5866	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.8341	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5744	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.6425	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.8065	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5655	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.7300	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.7257	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.6653	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5641	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.6108	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4905	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.4916	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4880	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.7128	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4976	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6006	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.6829	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5914	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4397	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4891	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5183	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5531	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4162	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.6325	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5303	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.6162	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.7777	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4761	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.6719	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4844	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4062	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.5258	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4677	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5590	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.6699	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5633	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4021	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.5050	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4711	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5148	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4974	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4929	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.5654	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.6432	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5026	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4101	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.6040	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4885	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.7037	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.5562	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4248	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.5541	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5106	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5270	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5244	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.7598	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4393	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5903	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4875	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4853	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3173	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4874	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5733	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.2758	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4897	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.4367	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4744	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4937	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3994	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4164	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.5576	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3743	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7207, Train Accuracy: 0.3701
Epoch 1 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0093, Accuracy: 0.3935, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.5773	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3627	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4100	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.5286	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4272	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3137	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4691	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4257	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3887	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.2923	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3905	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.3872	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3831	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2972	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3446	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.4216	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3119	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.5925	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4595	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3301	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.4315	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3849	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3107	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.7076	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.4558	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.4017	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3618	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3717	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.4145	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3847	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2845	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4003	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2762	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3368	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.3153	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.4108	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2652	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.2502	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3003	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.2672	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.2224	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.2160	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.3573	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.3628	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.2543	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2638	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.3412	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.5097	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.4514	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.2379	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.4130	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.2946	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.2233	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.3126	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.3712	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2591	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3276	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2535	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.2686	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2886	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.4203	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.2975	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.1921	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.4139	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2363	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.1624	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2017	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.2186	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.2439	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.1608	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.2064	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.2019	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.3276	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2565	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.3255	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.3323	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2398	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.1104	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.3800	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.1827	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.1729	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.3145	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.2317	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.3516	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.2594	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.2593	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1720	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.3598	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2145	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2100	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.3037	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.1651	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.2229	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.1615	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 1.0826	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.1877	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2290, Train Accuracy: 0.5597
Epoch 2 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0054, Accuracy: 0.5617, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.9343	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.7481	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9752, Train Accuracy: 0.6552
Epoch 3 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0047, Accuracy: 0.6162, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8622	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.7666	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8247, Train Accuracy: 0.7113
Epoch 4 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0040, Accuracy: 0.6677, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.6233	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7322, Train Accuracy: 0.7421
Epoch 5 training time consumed: 28.87s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7591, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6758	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5791	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6597, Train Accuracy: 0.7698
Epoch 6 training time consumed: 28.23s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7575, Time consumed:0.96s
Training Epoch: 7 [256/46250]	Loss: 0.5686	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.6837	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6084, Train Accuracy: 0.7879
Epoch 7 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7745, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5494	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.4406	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3391	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4553, Train Accuracy: 0.8393
Epoch 8 training time consumed: 28.26s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8511, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4558	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4924	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3590	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4386	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3828	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4089, Train Accuracy: 0.8570
Epoch 9 training time consumed: 28.23s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8622, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.3599	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4139	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3473	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4826	LR: 0.020000
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Training Epoch: 10 [45056/46250]	Loss: 0.2947	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3314	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.3177	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3739	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3927, Train Accuracy: 0.8633
Epoch 10 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8640, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3579	LR: 0.020000
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Training Epoch: 11 [45056/46250]	Loss: 0.3771	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3116	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.3651	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.3313	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3380	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3071	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3717, Train Accuracy: 0.8699
Epoch 11 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8515, Time consumed:0.96s
Training Epoch: 12 [256/46250]	Loss: 0.3814	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3476	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3598	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3646	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3554	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.4212	LR: 0.004000
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Training Epoch: 12 [2560/46250]	Loss: 0.2972	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3839	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3526	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3482	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3874	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.2977	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2323	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.2939	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3237	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3415	LR: 0.004000
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Training Epoch: 12 [44288/46250]	Loss: 0.2696	LR: 0.004000
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Training Epoch: 12 [45056/46250]	Loss: 0.3154	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.3200	LR: 0.004000
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Training Epoch: 12 [45824/46250]	Loss: 0.3081	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.3068	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2868	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3218, Train Accuracy: 0.8886
Epoch 12 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8810, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2525	LR: 0.004000
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Training Epoch: 13 [32000/46250]	Loss: 0.3226	LR: 0.004000
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Training Epoch: 13 [42496/46250]	Loss: 0.3426	LR: 0.004000
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Training Epoch: 13 [43008/46250]	Loss: 0.2283	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3334	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3178	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3067	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3258	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2852	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3244	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3454	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3444	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3090	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3530	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3802	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2323	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2547	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3062, Train Accuracy: 0.8932
Epoch 13 training time consumed: 28.28s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8831, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2947	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2787	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2857	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.2545	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.2845	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.3230	LR: 0.004000
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Training Epoch: 14 [44800/46250]	Loss: 0.3574	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2386	LR: 0.004000
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Training Epoch: 14 [45824/46250]	Loss: 0.2781	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.3339	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3629	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2991, Train Accuracy: 0.8965
Epoch 14 training time consumed: 28.08s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8842, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2615	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2817	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2786	LR: 0.004000
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Training Epoch: 15 [1536/46250]	Loss: 0.3026	LR: 0.004000
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Training Epoch: 15 [44032/46250]	Loss: 0.3025	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3312	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3885	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2952, Train Accuracy: 0.8971
Epoch 15 training time consumed: 28.31s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8861, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.3212	LR: 0.000800
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Training Epoch: 16 [1536/46250]	Loss: 0.2719	LR: 0.000800
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Training Epoch: 16 [38144/46250]	Loss: 0.2557	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.3037	LR: 0.000800
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Training Epoch: 16 [41984/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.3942	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3286	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2140	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2375	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3565	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2186	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2952	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2795, Train Accuracy: 0.9021
Epoch 16 training time consumed: 28.23s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8865, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3475	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2262	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2273	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2136	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2590	LR: 0.000800
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Training Epoch: 17 [3072/46250]	Loss: 0.3243	LR: 0.000800
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Training Epoch: 17 [4352/46250]	Loss: 0.2302	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.3736	LR: 0.000800
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Training Epoch: 17 [5376/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2754	LR: 0.000800
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Training Epoch: 17 [6144/46250]	Loss: 0.3072	LR: 0.000800
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Training Epoch: 17 [6656/46250]	Loss: 0.2583	LR: 0.000800
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Training Epoch: 17 [8448/46250]	Loss: 0.2797	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2184	LR: 0.000800
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Training Epoch: 17 [42240/46250]	Loss: 0.2531	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2987	LR: 0.000800
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Training Epoch: 17 [43264/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2962	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2078	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2973	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3408	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2316	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3298	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2747, Train Accuracy: 0.9048
Epoch 17 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8866, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2478	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3184	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2460	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2803	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.3438	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2642	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2775	LR: 0.000800
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Training Epoch: 18 [4096/46250]	Loss: 0.2997	LR: 0.000800
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Training Epoch: 18 [4608/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.2446	LR: 0.000800
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Training Epoch: 18 [17408/46250]	Loss: 0.3184	LR: 0.000800
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Training Epoch: 18 [30720/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.3128	LR: 0.000800
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Training Epoch: 18 [36352/46250]	Loss: 0.2157	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.3067	LR: 0.000800
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Training Epoch: 18 [37376/46250]	Loss: 0.2866	LR: 0.000800
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Training Epoch: 18 [39936/46250]	Loss: 0.2889	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2541	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2687	LR: 0.000800
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Training Epoch: 18 [41216/46250]	Loss: 0.3703	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2941	LR: 0.000800
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Training Epoch: 18 [41984/46250]	Loss: 0.3227	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3152	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2314	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.3125	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2779, Train Accuracy: 0.9029
Epoch 18 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8883, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2487	LR: 0.000800
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Training Epoch: 19 [768/46250]	Loss: 0.2219	LR: 0.000800
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Training Epoch: 19 [1280/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2093	LR: 0.000800
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Training Epoch: 19 [2304/46250]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2154	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.1984	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2682	LR: 0.000800
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Training Epoch: 19 [4096/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3300	LR: 0.000800
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Training Epoch: 19 [5888/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2888	LR: 0.000800
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Training Epoch: 19 [9984/46250]	Loss: 0.3155	LR: 0.000800
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Training Epoch: 19 [19712/46250]	Loss: 0.2880	LR: 0.000800
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Training Epoch: 19 [20224/46250]	Loss: 0.2259	LR: 0.000800
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Training Epoch: 19 [22528/46250]	Loss: 0.3350	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.2264	LR: 0.000800
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Training Epoch: 19 [27648/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2086	LR: 0.000800
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Training Epoch: 19 [29440/46250]	Loss: 0.2278	LR: 0.000800
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Training Epoch: 19 [36352/46250]	Loss: 0.2384	LR: 0.000800
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Training Epoch: 19 [44288/46250]	Loss: 0.3400	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2170	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.3155	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.1990	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2018	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2034	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3274	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2711, Train Accuracy: 0.9037
Epoch 19 training time consumed: 28.09s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8877, Time consumed:0.98s
Training Epoch: 20 [256/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2956	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2408	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2299	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.2699	LR: 0.000800
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Training Epoch: 20 [6144/46250]	Loss: 0.3181	LR: 0.000800
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Training Epoch: 20 [7680/46250]	Loss: 0.2911	LR: 0.000800
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Training Epoch: 20 [8704/46250]	Loss: 0.3315	LR: 0.000800
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Training Epoch: 20 [22016/46250]	Loss: 0.3438	LR: 0.000800
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Training Epoch: 20 [25088/46250]	Loss: 0.2917	LR: 0.000800
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Training Epoch: 20 [26112/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.1903	LR: 0.000800
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Training Epoch: 20 [27904/46250]	Loss: 0.3224	LR: 0.000800
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Training Epoch: 20 [28416/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.3415	LR: 0.000800
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Training Epoch: 20 [43264/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.3175	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.3254	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2728	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.3083	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2391	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3502	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3351	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2986	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2707, Train Accuracy: 0.9051
Epoch 20 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8890, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_05h_46m_52s/ResNet18-Cifar10-seed3-ret25-20-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
MIA Attack Accuracy with XGBoost: 0.7513
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.4993
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6683
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5102
Test Accuracy: 91.552734375
Retain Accuracy: 93.97647857666016
Zero-Retain Forget (ZRF): 0.8244310617446899
Membership Inference Attack (MIA): 0.6837333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.7513333333333333
Forget vs Test Membership Inference Attack (MIA): 0.49933333333333335
Test vs Retain Membership Inference Attack (MIA): 0.66825
Train vs Test Membership Inference Attack (MIA): 0.51025
Forget Set Accuracy (Df): 94.18831634521484
Method Execution Time: 2334.62 seconds
