
Retain class distribution for seed 10:
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 10:
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: 2.3780	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3895	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3923	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3409	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3237	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2799	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2587	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2580	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2260	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2740	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2116	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1593	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1839	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1679	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0556	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.1266	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9599	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0228	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9800	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9643	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.8645	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8739	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8814	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.8732	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.8830	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.7824	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.7664	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.9273	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.7712	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.8682	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.7518	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7512	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.9060	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8796	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7859	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8135	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8465	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.9771	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7508	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.6856	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7141	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.9092	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.9713	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8414	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7747	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.8198	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.6844	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8748	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7161	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7384	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8080	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.8595	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.6836	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7915	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7196	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.8407	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.6603	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7460	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7220	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.9362	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6234	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.8208	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.6922	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7296	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6481	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.9370	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.7369	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6164	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.8085	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7766	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.8421	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.8418	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.8089	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.8803	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6463	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.8460	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.7066	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7487	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7557	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.8612	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6631	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.5506	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.6945	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6120	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.9426	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.5600	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.8061	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.7203	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.7494	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6975	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6768	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6581	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.7590	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6177	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.6737	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6851	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7989	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6585	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6070	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.5700	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.7360	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5483	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5641	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6016	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5545	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.7801	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5837	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6746	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.8373	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4433	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6302	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.8027	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6253	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5581	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.6936	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6707	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.7748	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5591	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.6998	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6441	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5930	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5540	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.4956	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5901	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6488	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5916	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.7251	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.6845	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4319	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.9089	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5033	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.9041	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.7218	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5817	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.6369	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.6334	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5055	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5477	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.6664	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6190	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4985	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5933	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5155	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.5398	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5436	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5015	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4266	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.6084	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4201	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5448	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4880	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.6838	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5351	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.6023	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5455	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4282	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4255	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4611	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.6373	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5563	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4842	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5387	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4853	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4690	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5658	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4052	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4252	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4671	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4378	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4474	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5003	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4016	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3627	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4176	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3106	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4127	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4763	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4280	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.5377	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4301	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.5117	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7243, Train Accuracy: 0.3730
Epoch 1 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0080, Accuracy: 0.4028, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4911	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.5585	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4776	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4913	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4457	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3401	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.5426	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.6056	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3775	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4249	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4207	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.5215	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3662	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3602	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4187	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3777	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.4655	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.2563	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4284	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.5391	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.4261	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.5729	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.2504	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.2807	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3851	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.2060	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3371	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.2613	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.3178	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.2947	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3074	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.3283	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.5048	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3006	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2601	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.4535	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2684	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.1904	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.2538	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3642	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.2396	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.2289	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.1994	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.3317	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.3158	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.2369	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.1875	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.2409	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.3389	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.2426	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2066	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.2920	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.1839	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.3133	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.2189	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2977	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.1090	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2646	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.3357	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2621	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.2943	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.0742	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.1304	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.2652	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2811	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.3686	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.2434	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.1362	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.3081	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.1666	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.1425	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.2257	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.1983	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.1932	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.0813	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2004	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.1600	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.2415	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.2924	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2116	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.3366	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.0990	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.2117	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.1190	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.2143	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.1285	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.2638	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.2048	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2217	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1554	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.1922	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.1973	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.0757	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 0.9805	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.1343	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.2487	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2207, Train Accuracy: 0.5631
Epoch 2 training time consumed: 27.38s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0057, Accuracy: 0.5209, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.9213	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.7772	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9546, Train Accuracy: 0.6623
Epoch 3 training time consumed: 27.36s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0042, Accuracy: 0.6569, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8207	LR: 0.100000
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Training Epoch: 4 [6144/46250]	Loss: 0.8605	LR: 0.100000
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Training Epoch: 4 [6656/46250]	Loss: 0.8320	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.9634	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.8713	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.9104	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.8121	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.9907	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.9142	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.8659	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.8844	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.9032	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.9164	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.9378	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.8868	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 0.7454	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.9590	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.7905	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.9457	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.7758	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.8016	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.8343	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.9398	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.8416	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8891	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.8154	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.9671	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.9366	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.9739	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.8682	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.8225	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.8745	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.8061	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 0.8293	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 0.9116	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.8750	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 0.9459	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.8985	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.9151	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.9455	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.8452	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.7971	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.7202	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.8467	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.8240	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.7844	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.8459	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.7220	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.8384	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.7877	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.8006	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.7825	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.9255	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.8472	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.8114	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.7309	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.9202	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.9286	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.9031	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.7527	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.7739	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.8460	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.7998	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.8589	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.7897	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.9170	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.8912	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.7377	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.8901	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8289	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.7922	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 1.0011	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.7328	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.8014	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.8201	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.7594	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.8025	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.7334	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.8762	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.8364	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.8269	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.7404	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.6761	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.6882	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.8380	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.7983	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.7083	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.7611	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.7634	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 1.0187	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.7686	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.7727	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.7416	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.8977	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.8781	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.7494	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.8113	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.7744	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8122	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.7780	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.8076	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.7424	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.7734	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.6883	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.7174	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.8683	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.7325	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.8028	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.7902	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.7177	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.7922	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.9157	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7135	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.8375	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.5908	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.7230	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.8532	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.6600	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.7917	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.7461	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.7285	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.6824	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.6405	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.8612	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.8262	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.7309	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.7095	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.7969	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.7600	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.8376	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.7687	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.7890	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.8171	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.8443	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.8421	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.8669	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.7938	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.7187	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.7846	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.7090	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.8731	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.8865	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.6747	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.7278	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.9173	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.7946	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.8888	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.7907	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.8428	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.8995	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8270	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.8360	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.9553	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.7476	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.8885	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.8753	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.7400	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.8151	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8241, Train Accuracy: 0.7122
Epoch 4 training time consumed: 27.32s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0044, Accuracy: 0.6521, Time consumed:0.96s
Training Epoch: 5 [256/46250]	Loss: 0.7554	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7962	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.8063	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.7765	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.8224	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.7129	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.7261	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.9535	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.7280	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.7324	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.7788	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.7316	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.6451	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.7460	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.8289	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.6891	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.7939	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.6718	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.8384	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.6788	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.6979	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.6836	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.7659	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.7310	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.7255	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.7505	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.8309	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.6688	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.6479	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7705	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7644	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.6514	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.7647	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.6835	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7683	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.7614	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.6340	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7317	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.7605	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.8240	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.7855	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.8852	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.8504	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.6241	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7780	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.7016	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.7226	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.6334	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7044	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.7206	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.7686	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.6572	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7756	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.7469	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.7631	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.7914	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.7885	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.7683	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7170	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.6762	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.6817	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7144	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.7260	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.6637	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.7520	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.6518	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.7404	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.5546	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.8031	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7669	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.7095	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.7620	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.8080	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.6525	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.7681	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.8251	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.7314	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.7657	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.7768	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.7636	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.6888	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.6750	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.7350	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.7103	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.6792	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7685	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7622	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7468	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.7332	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.8680	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.6461	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.7536	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.6963	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.8303	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.6925	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.7006	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.6599	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.6742	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.7559	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.7348	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.6732	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.7201	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.6535	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7467	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.6611	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.6795	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.7362	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.6264	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.7175	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.5917	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.6522	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.8044	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.6441	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.7064	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.8357	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.6655	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.7546	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.7468	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.6565	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.7735	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.6024	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.7207	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.5290	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.8045	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.6698	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.6615	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.7514	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.8234	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.7312	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.7203	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.7214	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.6014	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.8172	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.8399	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.6853	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.6384	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.6232	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.6674	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.7368	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.6301	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.7269	LR: 0.100000
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Training Epoch: 5 [46250/46250]	Loss: 0.6652	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7234, Train Accuracy: 0.7476
Epoch 5 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0027, Accuracy: 0.7706, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6800	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6544	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6568, Train Accuracy: 0.7710
Epoch 6 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0034, Accuracy: 0.7131, Time consumed:0.93s
Training Epoch: 7 [256/46250]	Loss: 0.6189	LR: 0.100000
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Training Epoch: 7 [18688/46250]	Loss: 0.6862	LR: 0.100000
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Training Epoch: 7 [19200/46250]	Loss: 0.6064	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.6164	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6468	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6362	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.5332	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.5279	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.5789	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6042	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6109	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.5189	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6386	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.6258	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.5841	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.5194	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.6654	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.6544	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.7075	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.6692	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.6234	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.6534	LR: 0.100000
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Training Epoch: 7 [24832/46250]	Loss: 0.6915	LR: 0.100000
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Training Epoch: 7 [25600/46250]	Loss: 0.5675	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6139	LR: 0.100000
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Training Epoch: 7 [26368/46250]	Loss: 0.5794	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.5565	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.5870	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.6883	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.5760	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.4675	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.5262	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.5984	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.5702	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.6422	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.5879	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.5921	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6515	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.5827	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.6650	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.5794	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6692	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.6834	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6251	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.7015	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.6023	LR: 0.100000
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Training Epoch: 7 [35328/46250]	Loss: 0.5628	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.5191	LR: 0.100000
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Training Epoch: 7 [36096/46250]	Loss: 0.4065	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.6569	LR: 0.100000
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Training Epoch: 7 [36864/46250]	Loss: 0.4862	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.5018	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.5965	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.6446	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.5857	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.7056	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.6579	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.6877	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.5926	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.5523	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.6101	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.5354	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.5079	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.6513	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.5290	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.6478	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6554	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.5408	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5447	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6770	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.6072	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6434	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6150	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.5365	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.5598	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.6662	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.5750	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.4828	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.4703	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.5217	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.5872	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.4810	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.5022	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.5891	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.4702	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6099, Train Accuracy: 0.7882
Epoch 7 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7674, Time consumed:0.93s
Training Epoch: 8 [256/46250]	Loss: 0.5352	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.6443	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.5497	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.6579	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.4790	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.4710	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5109	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.4728	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.4736	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.4156	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.4869	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.4812	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.4642	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.5385	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.5458	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4800	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5313	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.4900	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5705	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.4753	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.5666	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5384	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.5073	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4622	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.4877	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5070	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4568	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.4063	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.5444	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.4876	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.4629	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4439	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4890	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.4671	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.4172	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.5761	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5014	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4297	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.5622	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.4286	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.5017	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.4637	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4407	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.3537	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4280	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4563	LR: 0.020000
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Training Epoch: 8 [16896/46250]	Loss: 0.4599	LR: 0.020000
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Training Epoch: 8 [18688/46250]	Loss: 0.3500	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.4760	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4765	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.5011	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4030	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4555	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4016	LR: 0.020000
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Training Epoch: 8 [21760/46250]	Loss: 0.3919	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.5436	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.5066	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.3096	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4455	LR: 0.020000
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Training Epoch: 8 [23552/46250]	Loss: 0.4088	LR: 0.020000
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Training Epoch: 8 [25600/46250]	Loss: 0.4215	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.3996	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.5070	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.5979	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4853	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.3501	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4429	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.3467	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4568	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.5002	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.3789	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4814	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.4329	LR: 0.020000
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Training Epoch: 8 [29952/46250]	Loss: 0.4791	LR: 0.020000
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Training Epoch: 8 [36096/46250]	Loss: 0.4484	LR: 0.020000
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Training Epoch: 8 [37632/46250]	Loss: 0.3932	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.3525	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.5541	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.3747	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4561	LR: 0.020000
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Training Epoch: 8 [40192/46250]	Loss: 0.3888	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4619	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4173	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4743	LR: 0.020000
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Training Epoch: 8 [41728/46250]	Loss: 0.3648	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.5336	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4754	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.3891	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.4132	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4732	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.3512	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.3862	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.4209	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.3975	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4952	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.3763	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.3667	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.3946	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.3957	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.3747	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3807	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3404	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4507, Train Accuracy: 0.8435
Epoch 8 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8546, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3944	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4080	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 9 [1024/46250]	Loss: 0.3866	LR: 0.020000
Training Epoch: 9 [1280/46250]	Loss: 0.4405	LR: 0.020000
Training Epoch: 9 [1536/46250]	Loss: 0.3809	LR: 0.020000
Training Epoch: 9 [1792/46250]	Loss: 0.4865	LR: 0.020000
Training Epoch: 9 [2048/46250]	Loss: 0.3033	LR: 0.020000
Training Epoch: 9 [2304/46250]	Loss: 0.3583	LR: 0.020000
Training Epoch: 9 [2560/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 9 [2816/46250]	Loss: 0.2917	LR: 0.020000
Training Epoch: 9 [3072/46250]	Loss: 0.4390	LR: 0.020000
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Training Epoch: 9 [3584/46250]	Loss: 0.4105	LR: 0.020000
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Training Epoch: 9 [4096/46250]	Loss: 0.4338	LR: 0.020000
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Training Epoch: 9 [5376/46250]	Loss: 0.3380	LR: 0.020000
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Training Epoch: 9 [8448/46250]	Loss: 0.4999	LR: 0.020000
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Training Epoch: 9 [8960/46250]	Loss: 0.4539	LR: 0.020000
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Training Epoch: 9 [9984/46250]	Loss: 0.3341	LR: 0.020000
Training Epoch: 9 [10240/46250]	Loss: 0.4017	LR: 0.020000
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Training Epoch: 9 [11008/46250]	Loss: 0.4405	LR: 0.020000
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Training Epoch: 9 [15616/46250]	Loss: 0.3711	LR: 0.020000
Training Epoch: 9 [15872/46250]	Loss: 0.3781	LR: 0.020000
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Training Epoch: 9 [16640/46250]	Loss: 0.3649	LR: 0.020000
Training Epoch: 9 [16896/46250]	Loss: 0.5026	LR: 0.020000
Training Epoch: 9 [17152/46250]	Loss: 0.3666	LR: 0.020000
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Training Epoch: 9 [18176/46250]	Loss: 0.2950	LR: 0.020000
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Training Epoch: 9 [19968/46250]	Loss: 0.4037	LR: 0.020000
Training Epoch: 9 [20224/46250]	Loss: 0.4095	LR: 0.020000
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Training Epoch: 9 [22528/46250]	Loss: 0.3571	LR: 0.020000
Training Epoch: 9 [22784/46250]	Loss: 0.4116	LR: 0.020000
Training Epoch: 9 [23040/46250]	Loss: 0.4021	LR: 0.020000
Training Epoch: 9 [23296/46250]	Loss: 0.4799	LR: 0.020000
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Training Epoch: 9 [24320/46250]	Loss: 0.4214	LR: 0.020000
Training Epoch: 9 [24576/46250]	Loss: 0.4120	LR: 0.020000
Training Epoch: 9 [24832/46250]	Loss: 0.3478	LR: 0.020000
Training Epoch: 9 [25088/46250]	Loss: 0.4842	LR: 0.020000
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Training Epoch: 9 [25600/46250]	Loss: 0.4304	LR: 0.020000
Training Epoch: 9 [25856/46250]	Loss: 0.3889	LR: 0.020000
Training Epoch: 9 [26112/46250]	Loss: 0.4488	LR: 0.020000
Training Epoch: 9 [26368/46250]	Loss: 0.3994	LR: 0.020000
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Training Epoch: 9 [27904/46250]	Loss: 0.3390	LR: 0.020000
Training Epoch: 9 [28160/46250]	Loss: 0.3981	LR: 0.020000
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Training Epoch: 9 [36096/46250]	Loss: 0.3498	LR: 0.020000
Training Epoch: 9 [36352/46250]	Loss: 0.4598	LR: 0.020000
Training Epoch: 9 [36608/46250]	Loss: 0.3837	LR: 0.020000
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Training Epoch: 9 [37120/46250]	Loss: 0.4412	LR: 0.020000
Training Epoch: 9 [37376/46250]	Loss: 0.3978	LR: 0.020000
Training Epoch: 9 [37632/46250]	Loss: 0.4347	LR: 0.020000
Training Epoch: 9 [37888/46250]	Loss: 0.3766	LR: 0.020000
Training Epoch: 9 [38144/46250]	Loss: 0.3644	LR: 0.020000
Training Epoch: 9 [38400/46250]	Loss: 0.5232	LR: 0.020000
Training Epoch: 9 [38656/46250]	Loss: 0.4724	LR: 0.020000
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Training Epoch: 9 [39168/46250]	Loss: 0.4292	LR: 0.020000
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Training Epoch: 9 [39680/46250]	Loss: 0.3997	LR: 0.020000
Training Epoch: 9 [39936/46250]	Loss: 0.4020	LR: 0.020000
Training Epoch: 9 [40192/46250]	Loss: 0.3205	LR: 0.020000
Training Epoch: 9 [40448/46250]	Loss: 0.4131	LR: 0.020000
Training Epoch: 9 [40704/46250]	Loss: 0.4730	LR: 0.020000
Training Epoch: 9 [40960/46250]	Loss: 0.3632	LR: 0.020000
Training Epoch: 9 [41216/46250]	Loss: 0.5023	LR: 0.020000
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Training Epoch: 9 [41728/46250]	Loss: 0.3753	LR: 0.020000
Training Epoch: 9 [41984/46250]	Loss: 0.4757	LR: 0.020000
Training Epoch: 9 [42240/46250]	Loss: 0.4055	LR: 0.020000
Training Epoch: 9 [42496/46250]	Loss: 0.4407	LR: 0.020000
Training Epoch: 9 [42752/46250]	Loss: 0.3326	LR: 0.020000
Training Epoch: 9 [43008/46250]	Loss: 0.3423	LR: 0.020000
Training Epoch: 9 [43264/46250]	Loss: 0.2915	LR: 0.020000
Training Epoch: 9 [43520/46250]	Loss: 0.4430	LR: 0.020000
Training Epoch: 9 [43776/46250]	Loss: 0.4635	LR: 0.020000
Training Epoch: 9 [44032/46250]	Loss: 0.4338	LR: 0.020000
Training Epoch: 9 [44288/46250]	Loss: 0.4095	LR: 0.020000
Training Epoch: 9 [44544/46250]	Loss: 0.3633	LR: 0.020000
Training Epoch: 9 [44800/46250]	Loss: 0.3489	LR: 0.020000
Training Epoch: 9 [45056/46250]	Loss: 0.3721	LR: 0.020000
Training Epoch: 9 [45312/46250]	Loss: 0.3422	LR: 0.020000
Training Epoch: 9 [45568/46250]	Loss: 0.4142	LR: 0.020000
Training Epoch: 9 [45824/46250]	Loss: 0.3758	LR: 0.020000
Training Epoch: 9 [46080/46250]	Loss: 0.4398	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3661	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4086, Train Accuracy: 0.8580
Epoch 9 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8649, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.3972	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3997	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3467	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3918	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.3653	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3776	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.3729	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3110	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.4434	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.4105	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.4755	LR: 0.020000
Training Epoch: 10 [3072/46250]	Loss: 0.4138	LR: 0.020000
Training Epoch: 10 [3328/46250]	Loss: 0.3735	LR: 0.020000
Training Epoch: 10 [3584/46250]	Loss: 0.2621	LR: 0.020000
Training Epoch: 10 [3840/46250]	Loss: 0.4312	LR: 0.020000
Training Epoch: 10 [4096/46250]	Loss: 0.3321	LR: 0.020000
Training Epoch: 10 [4352/46250]	Loss: 0.4693	LR: 0.020000
Training Epoch: 10 [4608/46250]	Loss: 0.3188	LR: 0.020000
Training Epoch: 10 [4864/46250]	Loss: 0.4171	LR: 0.020000
Training Epoch: 10 [5120/46250]	Loss: 0.4847	LR: 0.020000
Training Epoch: 10 [5376/46250]	Loss: 0.3487	LR: 0.020000
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Training Epoch: 10 [5888/46250]	Loss: 0.4146	LR: 0.020000
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Training Epoch: 10 [8192/46250]	Loss: 0.3176	LR: 0.020000
Training Epoch: 10 [8448/46250]	Loss: 0.3683	LR: 0.020000
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Training Epoch: 10 [10496/46250]	Loss: 0.3363	LR: 0.020000
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Training Epoch: 10 [23040/46250]	Loss: 0.3374	LR: 0.020000
Training Epoch: 10 [23296/46250]	Loss: 0.3998	LR: 0.020000
Training Epoch: 10 [23552/46250]	Loss: 0.4566	LR: 0.020000
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Training Epoch: 10 [24320/46250]	Loss: 0.3576	LR: 0.020000
Training Epoch: 10 [24576/46250]	Loss: 0.3689	LR: 0.020000
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Training Epoch: 10 [25856/46250]	Loss: 0.3288	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.4306	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3948	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4163	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3892, Train Accuracy: 0.8652
Epoch 10 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8647, Time consumed:0.98s
Training Epoch: 11 [256/46250]	Loss: 0.3450	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3939	LR: 0.020000
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Training Epoch: 11 [45056/46250]	Loss: 0.3399	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.3850	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.2872	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3690, Train Accuracy: 0.8708
Epoch 11 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8688, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3117	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.2763	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.2869	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3284	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3666	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3192	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.2517	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.2966	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3827	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3782	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3470	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.2620	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2932	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3569	LR: 0.004000
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Training Epoch: 12 [4352/46250]	Loss: 0.3723	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3645	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3075	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.2188	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3863	LR: 0.004000
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Training Epoch: 12 [5888/46250]	Loss: 0.3841	LR: 0.004000
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Training Epoch: 12 [44544/46250]	Loss: 0.2888	LR: 0.004000
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Training Epoch: 12 [45312/46250]	Loss: 0.2615	LR: 0.004000
Training Epoch: 12 [45568/46250]	Loss: 0.3031	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.4216	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3146	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3187, Train Accuracy: 0.8891
Epoch 12 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8815, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2597	LR: 0.004000
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Training Epoch: 13 [43776/46250]	Loss: 0.3732	LR: 0.004000
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Training Epoch: 13 [44288/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3354	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3085	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2818	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2942	LR: 0.004000
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Training Epoch: 13 [45824/46250]	Loss: 0.3493	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3066	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2870	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3041, Train Accuracy: 0.8936
Epoch 13 training time consumed: 27.52s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8844, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3049	LR: 0.004000
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Training Epoch: 14 [46250/46250]	Loss: 0.2196	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2978, Train Accuracy: 0.8974
Epoch 14 training time consumed: 27.57s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8840, Time consumed:0.94s
Training Epoch: 15 [256/46250]	Loss: 0.3334	LR: 0.004000
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Training Epoch: 15 [1024/46250]	Loss: 0.3229	LR: 0.004000
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Training Epoch: 15 [44032/46250]	Loss: 0.2894	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.3614	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3445	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3014	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2952, Train Accuracy: 0.8980
Epoch 15 training time consumed: 27.56s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8873, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2766	LR: 0.000800
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Training Epoch: 16 [1536/46250]	Loss: 0.3425	LR: 0.000800
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Training Epoch: 16 [39424/46250]	Loss: 0.2362	LR: 0.000800
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Training Epoch: 16 [40192/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.3221	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.2746	LR: 0.000800
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Training Epoch: 16 [41216/46250]	Loss: 0.2634	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2228	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2972	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2265	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3119	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2602	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3276	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3273	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3035	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2807, Train Accuracy: 0.9024
Epoch 16 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8886, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2338	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.1955	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2461	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3633	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2475	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.2267	LR: 0.000800
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Training Epoch: 17 [4352/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.2742	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.2947	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.3082	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.2822	LR: 0.000800
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Training Epoch: 17 [6656/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 17 [6912/46250]	Loss: 0.2273	LR: 0.000800
Training Epoch: 17 [7168/46250]	Loss: 0.3346	LR: 0.000800
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Training Epoch: 17 [7936/46250]	Loss: 0.2197	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.3165	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.2533	LR: 0.000800
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Training Epoch: 17 [9216/46250]	Loss: 0.3246	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.3533	LR: 0.000800
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Training Epoch: 17 [10240/46250]	Loss: 0.2291	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.2766	LR: 0.000800
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Training Epoch: 17 [11008/46250]	Loss: 0.2535	LR: 0.000800
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Training Epoch: 17 [12032/46250]	Loss: 0.3200	LR: 0.000800
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Training Epoch: 17 [16128/46250]	Loss: 0.2639	LR: 0.000800
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Training Epoch: 17 [16640/46250]	Loss: 0.2058	LR: 0.000800
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Training Epoch: 17 [17664/46250]	Loss: 0.3416	LR: 0.000800
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Training Epoch: 17 [18944/46250]	Loss: 0.3339	LR: 0.000800
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Training Epoch: 17 [39936/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 17 [40192/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 17 [40448/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2758	LR: 0.000800
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Training Epoch: 17 [41472/46250]	Loss: 0.3254	LR: 0.000800
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Training Epoch: 17 [42240/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2312	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.3286	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2007	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3368	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2511	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.1934	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.2078	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3217	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2767, Train Accuracy: 0.9037
Epoch 17 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8889, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2500	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2523	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2543	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2174	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.2070	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.2348	LR: 0.000800
Training Epoch: 18 [3328/46250]	Loss: 0.1961	LR: 0.000800
Training Epoch: 18 [3584/46250]	Loss: 0.2552	LR: 0.000800
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Training Epoch: 18 [4096/46250]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [4352/46250]	Loss: 0.2334	LR: 0.000800
Training Epoch: 18 [4608/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.3066	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2555	LR: 0.000800
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Training Epoch: 18 [6144/46250]	Loss: 0.2555	LR: 0.000800
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Training Epoch: 18 [18688/46250]	Loss: 0.2683	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.3649	LR: 0.000800
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Training Epoch: 18 [41728/46250]	Loss: 0.2773	LR: 0.000800
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Training Epoch: 18 [42240/46250]	Loss: 0.3260	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2440	LR: 0.000800
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Training Epoch: 18 [43264/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2469	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2373	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3230	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2507	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2765, Train Accuracy: 0.9039
Epoch 18 training time consumed: 27.59s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2808	LR: 0.000800
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Training Epoch: 19 [1280/46250]	Loss: 0.2405	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2213	LR: 0.000800
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Training Epoch: 19 [2304/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3314	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2351	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2627	LR: 0.000800
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Training Epoch: 19 [4352/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2813	LR: 0.000800
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Training Epoch: 19 [6144/46250]	Loss: 0.3538	LR: 0.000800
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Training Epoch: 19 [11008/46250]	Loss: 0.2551	LR: 0.000800
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Training Epoch: 19 [19712/46250]	Loss: 0.2768	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.2857	LR: 0.000800
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Training Epoch: 19 [25088/46250]	Loss: 0.2990	LR: 0.000800
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Training Epoch: 19 [45568/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.1950	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2754, Train Accuracy: 0.9050
Epoch 19 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3522	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2265	LR: 0.000800
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Training Epoch: 20 [44800/46250]	Loss: 0.1782	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2390	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3164	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2721, Train Accuracy: 0.9052
Epoch 20 training time consumed: 27.69s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_10h_23m_23s/ResNet18-Cifar10-seed10-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: 0.7433
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
MIA Attack Accuracy with XGBoost: 0.4867
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6615
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5125
Test Accuracy: 91.552734375
Retain Accuracy: 94.01750183105469
Zero-Retain Forget (ZRF): 0.8246742486953735
Membership Inference Attack (MIA): 0.6842666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.7433333333333333
Forget vs Test Membership Inference Attack (MIA): 0.4866666666666667
Test vs Retain Membership Inference Attack (MIA): 0.6615
Train vs Test Membership Inference Attack (MIA): 0.5125
Forget Set Accuracy (Df): 94.46285247802734
Method Execution Time: 2340.43 seconds
