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

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

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: 2.3394	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3999	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3833	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3788	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2918	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2636	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2319	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2420	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.3111	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2494	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2395	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1625	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1904	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1703	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.1069	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.1055	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9864	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0040	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 2.0042	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9751	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9018	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9566	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8826	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.8814	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.9316	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8754	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8248	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.9029	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.7493	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.7567	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.7829	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7058	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.7476	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8365	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8049	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8353	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7524	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.6761	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7661	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7715	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7702	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7934	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7084	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.9713	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7448	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7012	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8934	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8106	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.6175	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7483	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.6872	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.9583	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8532	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7497	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.9181	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6982	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7577	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7338	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7787	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7074	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6886	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7414	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8367	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.8253	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6430	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8711	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8192	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.8733	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.9644	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6691	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7340	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 2.0127	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.8111	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.8256	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.8402	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.7569	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.8007	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6943	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6955	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6154	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6857	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.6634	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.7402	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6336	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.8255	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.7362	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.7415	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.8652	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.5480	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.7264	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6472	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5813	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6181	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6456	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.7740	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.7705	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6422	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6942	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5862	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6881	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4839	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6069	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.6797	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6431	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5674	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6239	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5484	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6985	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5739	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.7719	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6090	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5259	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4736	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6961	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4948	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.5290	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.6781	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6612	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5044	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.5513	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.6314	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6042	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5052	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5892	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5397	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.4848	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5815	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4606	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4426	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5501	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4837	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.6781	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.6949	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.4037	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.6677	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4742	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5141	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5110	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4767	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5563	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.3820	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.7048	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.6522	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4263	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.6245	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4592	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.7280	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4828	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5494	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5998	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.5398	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.6349	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.6010	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.6335	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4456	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4597	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5831	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5719	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4943	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3708	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4612	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4920	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.3641	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4840	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4605	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4085	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5348	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4580	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.5526	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5504	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4000	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.3478	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5334	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4285	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5670	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4105	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3891	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3869	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4392	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4185	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3328	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7115, Train Accuracy: 0.3730
Epoch 1 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0064, Accuracy: 0.4618, Time consumed:1.76s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3756	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3983	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3388	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.3944	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.5087	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.2807	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4812	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.2803	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3363	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4046	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.5561	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4599	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3820	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.5911	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4716	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.5832	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.4662	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.4118	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4429	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.4081	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2237	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.2513	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.4559	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3277	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3382	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3497	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.5027	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3373	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.2286	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.4166	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2800	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2460	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.1723	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3090	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.4206	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3677	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.4246	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.2823	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3268	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3131	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3898	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.2919	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.2438	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.2390	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.2876	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2031	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.4680	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.3688	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.1612	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.1896	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2507	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.2412	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.3245	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.3790	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.1839	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2897	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2984	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.3163	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.2928	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.1689	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.0887	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.2108	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.2373	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.3008	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.3139	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.1797	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2023	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.1513	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.0880	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.2187	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.3694	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.1593	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.2179	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2536	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.1870	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2532	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2480	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.2022	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.1784	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.1785	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.1858	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.1941	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.2644	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 0.9921	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.2891	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.3062	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1630	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1676	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.1643	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1150	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.0500	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.0702	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.1138	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.0386	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.1003	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 0.9682	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.0048	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1985, Train Accuracy: 0.5706
Epoch 2 training time consumed: 27.68s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0051, Accuracy: 0.5803, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1188	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 1.0218	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9574, Train Accuracy: 0.6592
Epoch 3 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0041, Accuracy: 0.6588, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.7314	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.7336	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8039, Train Accuracy: 0.7182
Epoch 4 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7379, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.7375	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7220, Train Accuracy: 0.7471
Epoch 5 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7433, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6759	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5897	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6479, Train Accuracy: 0.7711
Epoch 6 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7479, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6836	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.5611	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6022, Train Accuracy: 0.7920
Epoch 7 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7803, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5498	LR: 0.020000
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Training Epoch: 8 [45568/46250]	Loss: 0.4448	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.3661	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4938	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4391, Train Accuracy: 0.8473
Epoch 8 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8591, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3001	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3815	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.4067	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4092	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4266	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4000, Train Accuracy: 0.8586
Epoch 9 training time consumed: 28.24s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8600, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4576	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4002	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4572	LR: 0.020000
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Training Epoch: 10 [1536/46250]	Loss: 0.4332	LR: 0.020000
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Training Epoch: 10 [2048/46250]	Loss: 0.3948	LR: 0.020000
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Training Epoch: 10 [24832/46250]	Loss: 0.4531	LR: 0.020000
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Training Epoch: 10 [43776/46250]	Loss: 0.3566	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3894	LR: 0.020000
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Training Epoch: 10 [44544/46250]	Loss: 0.3329	LR: 0.020000
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Training Epoch: 10 [45056/46250]	Loss: 0.3583	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3380	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.3838	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4110	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3774, Train Accuracy: 0.8672
Epoch 10 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8657, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3296	LR: 0.020000
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Training Epoch: 11 [44288/46250]	Loss: 0.3587	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.3788	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3288	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.4197	LR: 0.020000
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Training Epoch: 11 [45824/46250]	Loss: 0.3399	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3846	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3588, Train Accuracy: 0.8757
Epoch 11 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8611, Time consumed:0.88s
Training Epoch: 12 [256/46250]	Loss: 0.2944	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3719	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3456	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3816	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3128	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3866	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3942	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3049	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.2459	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.4278	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.4103	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.4245	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3580	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3062	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.2857	LR: 0.004000
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Training Epoch: 12 [44544/46250]	Loss: 0.2744	LR: 0.004000
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Training Epoch: 12 [45056/46250]	Loss: 0.3272	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3029	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.4442	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3115, Train Accuracy: 0.8923
Epoch 12 training time consumed: 28.07s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8846, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3092	LR: 0.004000
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Training Epoch: 13 [43008/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.2534	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.2425	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.2701	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3749	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3429	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.2412	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3230	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3861	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2961	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2865	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3353	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3267	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2297	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2989, Train Accuracy: 0.8960
Epoch 13 training time consumed: 28.11s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8881, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3446	LR: 0.004000
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Training Epoch: 14 [43520/46250]	Loss: 0.3761	LR: 0.004000
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Training Epoch: 14 [44800/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2936	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.3103	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3298	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2930, Train Accuracy: 0.8977
Epoch 14 training time consumed: 28.18s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8853, Time consumed:0.91s
Training Epoch: 15 [256/46250]	Loss: 0.2864	LR: 0.004000
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Training Epoch: 15 [1024/46250]	Loss: 0.2689	LR: 0.004000
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Training Epoch: 15 [11264/46250]	Loss: 0.3247	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.3552	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.3388	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.3340	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.2595	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3190	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.1927	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.2666	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.3442	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.2220	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3274	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.2628	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.3224	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2676	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3042	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3472	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.2799	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3409	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.2926	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.2753	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.2636	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2488	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.4447	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.2527	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3446	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2588	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.2419	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.2810	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.3029	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.2780	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2098	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3539	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.2421	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.3277	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3006	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3490	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2928	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.2947	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.1964	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2595	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3579	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.3206	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3720	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2398	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2407	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.2915	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.1738	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.2559	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.3316	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3554	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2587	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.2975	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.2717	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3745	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2809	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2731	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.3092	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.3683	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2683	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.2559	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.2437	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2697	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.2754	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3128	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.2963	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2256	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2532	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2418	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.2756	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2631	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3653	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.2305	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.1674	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2931	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3561	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.2642	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.2568	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2860	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2802	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2214	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.1986	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2312	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2817	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.2468	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.3110	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3629	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3295	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.3108	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3679	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.2792	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.2560	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.2388	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.2838	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2819	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.2888	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3201	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2797	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3373	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2720	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2379	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.2665	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.3286	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.3240	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.2406	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2653	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.2641	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3304	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.2741	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.2556	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.2953	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.2646	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.3084	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3011	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.2173	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.3132	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.3231	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2489	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2901	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.2435	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3231	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.2940	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2253	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2885, Train Accuracy: 0.8993
Epoch 15 training time consumed: 27.97s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8874, Time consumed:0.91s
Training Epoch: 16 [256/46250]	Loss: 0.3321	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2201	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.3440	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2193	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3074	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.2141	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2255	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3185	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.2531	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.3694	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3020	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.3393	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2499	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.2108	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.3868	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2094	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.2428	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2128	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.3473	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2309	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2402	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.3083	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2346	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.3915	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.1646	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2151	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.3552	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.3363	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2578	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.3269	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.1997	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2925	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2803	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2743	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3593	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2047	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2396	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2950	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2220	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2038	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.1952	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2196	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2011	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.1516	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2305	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2007	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2021	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3271	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.3090	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3370	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.3152	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.2857	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2803	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2390	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2455	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.2158	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3119	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.2027	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2910	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2665	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3047	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.3199	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3105	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.1829	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.3372	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2179	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2222	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2568	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.1909	LR: 0.000800
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Training Epoch: 16 [42240/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3672	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3032	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2940	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2285	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2724, Train Accuracy: 0.9043
Epoch 16 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8899, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2184	LR: 0.000800
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Training Epoch: 17 [1536/46250]	Loss: 0.2439	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.2245	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3562	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.3032	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3017	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.1924	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2271	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3837	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2716, Train Accuracy: 0.9061
Epoch 17 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8897, Time consumed:0.89s
Training Epoch: 18 [256/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2679	LR: 0.000800
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Training Epoch: 18 [1024/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3400	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2505	LR: 0.000800
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Training Epoch: 18 [18432/46250]	Loss: 0.2680	LR: 0.000800
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Training Epoch: 18 [35584/46250]	Loss: 0.3327	LR: 0.000800
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Training Epoch: 18 [36352/46250]	Loss: 0.2984	LR: 0.000800
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Training Epoch: 18 [37376/46250]	Loss: 0.2756	LR: 0.000800
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Training Epoch: 18 [38144/46250]	Loss: 0.3373	LR: 0.000800
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Training Epoch: 18 [40192/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2705	LR: 0.000800
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Training Epoch: 18 [41984/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2113	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2297	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.1890	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2058	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3194	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.1796	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3083	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2109	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2926	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2686, Train Accuracy: 0.9062
Epoch 18 training time consumed: 28.05s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.3443	LR: 0.000800
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Training Epoch: 19 [1024/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2716	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3471	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2601	LR: 0.000800
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Training Epoch: 19 [3584/46250]	Loss: 0.2480	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3295	LR: 0.000800
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Training Epoch: 19 [4608/46250]	Loss: 0.3093	LR: 0.000800
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Training Epoch: 19 [5376/46250]	Loss: 0.3214	LR: 0.000800
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Training Epoch: 19 [5888/46250]	Loss: 0.3585	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2808	LR: 0.000800
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Training Epoch: 19 [9984/46250]	Loss: 0.2951	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.2640	LR: 0.000800
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Training Epoch: 19 [45312/46250]	Loss: 0.1881	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.1782	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2042	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2673, Train Accuracy: 0.9070
Epoch 19 training time consumed: 28.36s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8903, Time consumed:0.88s
Training Epoch: 20 [256/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2663	LR: 0.000800
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Training Epoch: 20 [2816/46250]	Loss: 0.3314	LR: 0.000800
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Training Epoch: 20 [43520/46250]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2256	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2099	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2323	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2716	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.1559	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2650, Train Accuracy: 0.9081
Epoch 20 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8911, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_04h_27m_30s/ResNet18-Cifar10-seed1-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: 0.7460
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.4733
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6650
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.2354507446289
Zero-Retain Forget (ZRF): 0.8275185823440552
Membership Inference Attack (MIA): 0.6970666666666666
Forget vs Retain Membership Inference Attack (MIA): 0.746
Forget vs Test Membership Inference Attack (MIA): 0.47333333333333333
Test vs Retain Membership Inference Attack (MIA): 0.665
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.08414459228516
Method Execution Time: 2330.72 seconds
