
Retain class distribution for seed 4:
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 4:
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: 2.3462	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3202	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3371	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.2802	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2827	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2930	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2277	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2461	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2219	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.1934	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.1380	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1644	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.0708	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.0563	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0998	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0516	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9495	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0006	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9621	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 2.0101	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9960	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9187	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8527	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.9759	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.8363	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9077	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.7749	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.7449	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8884	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.8312	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.8444	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7452	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.9188	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8122	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7872	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.9769	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8594	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8864	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8201	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7296	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7651	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8609	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8115	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.6899	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7745	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7193	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.6338	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7293	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7686	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8546	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8681	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.6141	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7416	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6519	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7999	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6847	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.8197	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6679	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.9324	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7407	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7533	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7154	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7796	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7828	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.7236	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.9569	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.7581	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.7312	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7072	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7837	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.8331	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.7092	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.6835	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7331	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6317	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6964	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5791	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7251	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.5112	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6669	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6189	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.8812	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.9094	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6971	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7945	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6148	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5598	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6679	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6146	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.7484	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.8005	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.4625	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.5354	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6924	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5123	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6285	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.8201	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6146	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5107	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6330	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4818	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.8611	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.4216	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5680	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5559	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6045	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.7134	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.5381	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5421	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.6907	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.7441	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5502	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5070	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.8789	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5476	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.7057	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5907	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6411	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5933	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6841	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.7173	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6238	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5201	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.6226	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5010	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5840	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6626	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4240	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4978	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5834	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.6633	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5299	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.3875	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5144	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.3744	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4368	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5409	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5058	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4486	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5492	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.3462	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5598	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5416	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.5030	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5338	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5728	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4890	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.3938	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5849	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4582	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4793	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4818	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3434	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4388	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4165	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4810	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.6487	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5437	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.3634	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5111	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4224	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5666	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.6551	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6767	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.7413	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.5484	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4315	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5719	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4577	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.6460	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.6170	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4902	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5537	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.3855	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5929	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.8231	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3923	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.5983	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4834	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3538	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4418	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7050, Train Accuracy: 0.3761
Epoch 1 training time consumed: 28.08s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0073, Accuracy: 0.4356, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4984	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.5448	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4207	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.5923	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4732	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.2817	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4025	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3562	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3970	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.2702	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4878	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4808	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.4061	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.6211	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4851	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.4037	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3244	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.2718	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3874	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.4267	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2752	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3038	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.4732	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.4115	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3300	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.4222	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.2312	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.1330	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.5064	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3256	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3123	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2107	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2414	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.4010	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2925	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.4910	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2168	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.2509	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3053	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.4147	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3532	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.3896	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.5216	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.3885	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.2795	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.4846	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.1316	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.3417	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.3801	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.2764	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.3325	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.4500	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.3206	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2501	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.3663	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.3638	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3273	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2710	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.1580	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2296	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.3092	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.1434	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2423	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.1785	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2974	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.3634	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.3304	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.3544	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.1876	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.2871	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.3180	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.1291	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.4018	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.4861	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.1073	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.3036	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2958	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.4067	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.1190	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.1501	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.3404	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.3058	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.1181	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.0611	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.2408	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.0981	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1913	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.2988	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2526	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1490	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.2037	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.1525	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.1760	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.2164	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.0680	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 1.0923	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.0934	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2211, Train Accuracy: 0.5623
Epoch 2 training time consumed: 27.43s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0053, Accuracy: 0.5382, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0190	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 1.0549	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9741, Train Accuracy: 0.6550
Epoch 3 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0043, Accuracy: 0.6408, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8144	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.7873	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8295, Train Accuracy: 0.7080
Epoch 4 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0035, Accuracy: 0.7101, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.6735	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7332, Train Accuracy: 0.7426
Epoch 5 training time consumed: 28.20s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7385, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6947	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5651	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6673, Train Accuracy: 0.7672
Epoch 6 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7546, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6833	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.4868	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6130, Train Accuracy: 0.7865
Epoch 7 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7947, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5758	LR: 0.020000
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Training Epoch: 8 [45568/46250]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4549	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3638	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3953	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4516, Train Accuracy: 0.8438
Epoch 8 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8525, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3754	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4510	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3716	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4108, Train Accuracy: 0.8567
Epoch 9 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8631, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4433	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4635	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3308	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3300	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4588	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3965	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4018	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.4116	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.3368	LR: 0.020000
Training Epoch: 10 [24832/46250]	Loss: 0.4590	LR: 0.020000
Training Epoch: 10 [25088/46250]	Loss: 0.4397	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.3611	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.4104	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.4515	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.4084	LR: 0.020000
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Training Epoch: 10 [26880/46250]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.5208	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.3324	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.3076	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.4722	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.3554	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.3419	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.4008	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.3774	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.4248	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.3671	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.3484	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.3318	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.4647	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.3571	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.3126	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.5035	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.3901	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.3986	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.3800	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.3784	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.3831	LR: 0.020000
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Training Epoch: 10 [34816/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.3274	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.3437	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.4176	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.3983	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.3287	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.3959	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.3615	LR: 0.020000
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Training Epoch: 10 [37120/46250]	Loss: 0.4365	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.3262	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.3563	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.4371	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.4488	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.4508	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.3835	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.4291	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.3669	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.4273	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.4361	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.3234	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.4123	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.3848	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.4002	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.3925	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.3890	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.4349	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3625	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3841	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3895	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.3739	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3210	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.3892	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3490	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.4792	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.4355	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3398	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.2716	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3872, Train Accuracy: 0.8650
Epoch 10 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8602, Time consumed:1.01s
Training Epoch: 11 [256/46250]	Loss: 0.3847	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3531	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3793	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3193	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.3895	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.3809	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.4778	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.3640	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.3250	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.3525	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.3274	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.3363	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.3219	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.3366	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.2789	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.3165	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.4239	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.2845	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.4291	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.3245	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.3385	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.3036	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.3908	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.3032	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.3902	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.4758	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.3251	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.4183	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.4029	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.3798	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.3832	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.3536	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.3916	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.3833	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.3663	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.4100	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.4790	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3067	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.3903	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.3714	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.2782	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3481	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.3491	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.5337	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.3373	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.4533	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.4401	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.3152	LR: 0.020000
Training Epoch: 11 [14592/46250]	Loss: 0.4068	LR: 0.020000
Training Epoch: 11 [14848/46250]	Loss: 0.3406	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.3076	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.3699	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.2998	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.4111	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.3472	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.3158	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.3409	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.2682	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3787	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.3143	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.3636	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3663	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.4813	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.3554	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.5052	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.3138	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.3549	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.4099	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3258	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3673	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.4163	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.3869	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.3605	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.4214	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.4812	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.4130	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.3380	LR: 0.020000
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Training Epoch: 11 [24832/46250]	Loss: 0.3453	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.4291	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.3554	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.3733	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.3569	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.3675	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.3270	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.4357	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.5153	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.3799	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3634	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.3498	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.4028	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.3744	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.2934	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.3518	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.2963	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.4604	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.3512	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.3124	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.4203	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.3157	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3150	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.3192	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.3458	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.4363	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.2663	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.3082	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.3950	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.3854	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.3455	LR: 0.020000
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Training Epoch: 11 [34304/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.3788	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.3821	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.4789	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.3146	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.4196	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.4380	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.3767	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.3229	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.3155	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.3618	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.2728	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.3419	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.3185	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.3803	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3911	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3891	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.4134	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.3742	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.3883	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.4106	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.3041	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.3832	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3742	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.3521	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.3771	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.3565	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.3243	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.4051	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.3402	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.4056	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.3834	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3316	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.4062	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3129	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.2908	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.4114	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3046	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3210	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3677, Train Accuracy: 0.8712
Epoch 11 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8610, Time consumed:0.93s
Training Epoch: 12 [256/46250]	Loss: 0.2954	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3930	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3284	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.4027	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3591	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3314	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.2991	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3452	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3793	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.2821	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3319	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3965	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3849	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3456	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2956	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3672	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3564	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3363	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3356	LR: 0.004000
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Training Epoch: 12 [44288/46250]	Loss: 0.2814	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.2647	LR: 0.004000
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Training Epoch: 12 [45824/46250]	Loss: 0.3212	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.3452	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2694	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3198, Train Accuracy: 0.8883
Epoch 12 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8810, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3768	LR: 0.004000
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Training Epoch: 13 [32000/46250]	Loss: 0.2920	LR: 0.004000
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Training Epoch: 13 [40448/46250]	Loss: 0.2780	LR: 0.004000
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Training Epoch: 13 [43008/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3068	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3682	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.2692	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3772	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2537	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2762	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2676	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3203	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2941	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2891	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2464	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3063, Train Accuracy: 0.8930
Epoch 13 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8822, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2475	LR: 0.004000
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Training Epoch: 14 [9472/46250]	Loss: 0.3528	LR: 0.004000
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Training Epoch: 14 [42496/46250]	Loss: 0.2350	LR: 0.004000
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Training Epoch: 14 [43520/46250]	Loss: 0.3739	LR: 0.004000
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Training Epoch: 14 [44032/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.2792	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.2631	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2793	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.3072	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2437	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2734	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3010, Train Accuracy: 0.8951
Epoch 14 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8804, Time consumed:0.98s
Training Epoch: 15 [256/46250]	Loss: 0.2579	LR: 0.004000
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Training Epoch: 15 [1024/46250]	Loss: 0.3087	LR: 0.004000
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Training Epoch: 15 [11776/46250]	Loss: 0.3749	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3257	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.2921	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3517	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2544	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.3131	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3364	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.4239	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.2973	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.3000	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.3982	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.2608	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3380	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.2843	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3312	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.2677	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.2792	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.2600	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2540	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2663	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.2825	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3018	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.2776	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2338	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3207	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.2969	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2574	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.2474	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3149	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2869	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.2733	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.4527	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.2642	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.3430	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.3316	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.1764	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.2521	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2830	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.2690	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2830	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2474	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.1858	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3476	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.2599	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2558	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3258	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2548	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.2504	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2980	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3201	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.3321	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3242	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2697	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2163	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2744	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2093	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.2419	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3347	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3073	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2880	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.2872	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3319	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3618	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2645	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2585	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2685	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2478	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3178	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.2503	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2528	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.2798	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3705	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.4302	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.2492	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.2769	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3012	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2203	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2295	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2348	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.2473	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2211	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2853	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.3998	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3155	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2205	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3365	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.2736	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.1947	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.2251	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.2889	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.2571	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.2456	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2880	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.3290	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3396	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2793	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.2841	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2913	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.3433	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.2984	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2726	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2242	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3276	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2735	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3524	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.2489	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3050	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.2569	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2564	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3014	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.2998	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2456	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.2914	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2956	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2843	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.3254	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2301	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.2879	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.2809	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.4306	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2891, Train Accuracy: 0.8991
Epoch 15 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8820, Time consumed:1.02s
Training Epoch: 16 [256/46250]	Loss: 0.3343	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2478	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3243	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3194	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3121	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3404	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2489	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.3189	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.2103	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2358	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3188	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.2458	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.3603	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.1840	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.2873	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2119	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.2237	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.1969	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.3523	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.1882	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2071	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3354	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2216	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.2946	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3265	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2184	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.3624	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.3463	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.2207	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3340	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.3064	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.3026	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2215	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.1962	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3511	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.3064	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.1887	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.3006	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2690	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3906	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3221	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.3076	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3484	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2486	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.4343	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2311	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2406	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.2632	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2005	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2962	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.2074	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.2606	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2128	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2447	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.1951	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2351	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2632	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3397	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2203	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2064	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3528	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.1689	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2347	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.3209	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.3132	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.2490	LR: 0.000800
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Training Epoch: 16 [43008/46250]	Loss: 0.2864	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.3250	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2956	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3144	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3226	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3636	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2792, Train Accuracy: 0.9026
Epoch 16 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8857, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2460	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.2627	LR: 0.000800
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Training Epoch: 17 [44800/46250]	Loss: 0.2504	LR: 0.000800
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Training Epoch: 17 [45312/46250]	Loss: 0.3236	LR: 0.000800
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Training Epoch: 17 [46080/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3107	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2752, Train Accuracy: 0.9052
Epoch 17 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8854, Time consumed:0.95s
Training Epoch: 18 [256/46250]	Loss: 0.2340	LR: 0.000800
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Training Epoch: 18 [1024/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2079	LR: 0.000800
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Training Epoch: 18 [18944/46250]	Loss: 0.3326	LR: 0.000800
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Training Epoch: 18 [32512/46250]	Loss: 0.2154	LR: 0.000800
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Training Epoch: 18 [37376/46250]	Loss: 0.2436	LR: 0.000800
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Training Epoch: 18 [38144/46250]	Loss: 0.2449	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2534	LR: 0.000800
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Training Epoch: 18 [41216/46250]	Loss: 0.2588	LR: 0.000800
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Training Epoch: 18 [41728/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2308	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.4011	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.3212	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3621	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.3571	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2083	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.1981	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.1746	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2444	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2467	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2742, Train Accuracy: 0.9038
Epoch 18 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8868, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_06h_26m_09s/ResNet18-Cifar10-seed4-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.3132	LR: 0.000800
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Training Epoch: 19 [768/46250]	Loss: 0.1818	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.3061	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2114	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.3166	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.2421	LR: 0.000800
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Training Epoch: 19 [4352/46250]	Loss: 0.2313	LR: 0.000800
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Training Epoch: 19 [7168/46250]	Loss: 0.3435	LR: 0.000800
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Training Epoch: 19 [9984/46250]	Loss: 0.3151	LR: 0.000800
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Training Epoch: 19 [10752/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2798	LR: 0.000800
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Training Epoch: 19 [19456/46250]	Loss: 0.3582	LR: 0.000800
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Training Epoch: 19 [19968/46250]	Loss: 0.3394	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2294	LR: 0.000800
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Training Epoch: 19 [24064/46250]	Loss: 0.3088	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2624	LR: 0.000800
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Training Epoch: 19 [27392/46250]	Loss: 0.3301	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2189	LR: 0.000800
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Training Epoch: 19 [28928/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3468	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.3021	LR: 0.000800
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Training Epoch: 19 [45824/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2209	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2733, Train Accuracy: 0.9039
Epoch 19 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8864, Time consumed:0.92s
Training Epoch: 20 [256/46250]	Loss: 0.2928	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2284	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.3011	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.3439	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.3064	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2375	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.1834	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.3047	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.3095	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2470	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2606	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.3178	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.2946	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2932	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2208	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.3398	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.3425	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.2171	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2086	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2247	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2137	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.2956	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.2477	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.2113	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.2056	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.2489	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.2504	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2857	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.2242	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2323	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2049	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.2203	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2461	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.3453	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.3568	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.2918	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.3097	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2203	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2121	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.1971	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2575	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2167	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.2082	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.3527	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.2137	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.3185	LR: 0.000800
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Training Epoch: 20 [34304/46250]	Loss: 0.2673	LR: 0.000800
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Training Epoch: 20 [34816/46250]	Loss: 0.2256	LR: 0.000800
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Training Epoch: 20 [35328/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2479	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.3056	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.3452	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.3057	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.4017	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.2012	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.2368	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.3424	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.3076	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2239	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.2353	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2225	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2186	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.3257	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2079	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2724, Train Accuracy: 0.9059
Epoch 20 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8859, Time consumed:0.98s
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: 0.7427
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.4893
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6600
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5132
Test Accuracy: 91.552734375
Retain Accuracy: 94.0833511352539
Zero-Retain Forget (ZRF): 0.8267949819564819
Membership Inference Attack (MIA): 0.6869333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.7426666666666667
Forget vs Test Membership Inference Attack (MIA): 0.48933333333333334
Test vs Retain Membership Inference Attack (MIA): 0.66
Train vs Test Membership Inference Attack (MIA): 0.51325
Forget Set Accuracy (Df): 93.669677734375
Method Execution Time: 2335.50 seconds
