hello
hello

📌 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
hello
hello
⚠️ 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: 2.3235	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2798	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2590	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2563	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2282	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2722	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2170	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1584	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1896	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1695	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0426	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.1406	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9851	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0228	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9697	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9836	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.8881	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.9000	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9102	LR: 0.012155
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Training Epoch: 1 [6400/46250]	Loss: 1.8311	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8022	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.8048	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.9272	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8078	LR: 0.015470
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Training Epoch: 1 [7936/46250]	Loss: 1.7283	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7563	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8442	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8373	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.7990	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7635	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7827	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8489	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.6975	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.6437	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7554	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8045	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 2.0604	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8375	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7853	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7636	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7281	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8639	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.5894	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8136	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8785	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.8143	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7470	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7739	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.6690	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.9322	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.5854	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6910	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6525	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.8501	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6363	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6766	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.6685	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6507	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6256	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7569	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.7031	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6389	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.7910	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6363	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7796	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.8036	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.7195	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.8846	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6946	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.8142	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.7606	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7935	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7750	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.8166	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.7985	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.6834	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.5191	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.5869	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7555	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6972	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.7151	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6559	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.7815	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5465	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6485	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5932	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.8614	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5808	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.7361	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5488	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7465	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6201	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6003	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.5251	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6690	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6182	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.3999	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6067	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5564	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6925	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5921	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6843	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6669	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4003	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5133	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.7534	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6191	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.4859	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.7324	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.5673	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.7014	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5820	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.6333	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6454	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5345	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5229	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.4218	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.7005	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6532	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5391	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.8160	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.6985	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4506	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.9298	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4790	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.8161	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.6090	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5796	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.5589	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5869	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4369	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4777	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5972	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5935	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4078	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4672	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5312	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4861	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4143	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5757	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4184	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.6153	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4343	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4462	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3642	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.8295	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5165	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.6507	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5750	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4149	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4078	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4221	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.7143	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5295	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4764	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4403	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4781	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5413	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.7323	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4449	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.3915	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5418	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.5742	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4808	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5460	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.3968	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4278	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4583	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3389	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4375	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.5178	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3638	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.5383	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4477	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4568	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7080, Train Accuracy: 0.3757
Epoch 1 training time consumed: 28.59s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.4402, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4540	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4384	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.5381	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4265	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3665	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3185	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3340	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.6283	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3796	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4118	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4150	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4742	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3494	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3662	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4279	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.2679	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.4952	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3349	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4436	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.4934	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3327	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.6784	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.2604	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3202	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.4063	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.1635	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.3647	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3144	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.3272	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3752	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3001	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4220	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.4437	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.2541	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2811	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.4518	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.3859	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.1612	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.2489	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3230	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.2887	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.1790	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.2526	LR: 0.100000
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Training Epoch: 2 [11520/46250]	Loss: 1.2946	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.1517	LR: 0.100000
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Training Epoch: 2 [12288/46250]	Loss: 1.2151	LR: 0.100000
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Training Epoch: 2 [12800/46250]	Loss: 1.2138	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.0882	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.3091	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.0926	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.2975	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.2042	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2281	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.0133	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.3123	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.3234	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.3999	LR: 0.100000
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Training Epoch: 2 [17920/46250]	Loss: 1.2109	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.1728	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.3006	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.2744	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.1938	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.1322	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2203	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.1953	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.2997	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.2927	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2014	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.3026	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.2573	LR: 0.100000
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Training Epoch: 2 [22016/46250]	Loss: 1.1306	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1890	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1949	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2262	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1874	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.1124	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.2037	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2111, Train Accuracy: 0.5656
Epoch 2 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0045, Accuracy: 0.5992, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.9209	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.7539	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9426, Train Accuracy: 0.6648
Epoch 3 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6726, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8082	LR: 0.100000
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Training Epoch: 4 [5888/46250]	Loss: 0.7716	LR: 0.100000
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Training Epoch: 4 [6400/46250]	Loss: 0.7788	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.8094	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.9125	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.8767	LR: 0.100000
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Training Epoch: 4 [7936/46250]	Loss: 0.9646	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.9124	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.7986	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.8235	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.8942	LR: 0.100000
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Training Epoch: 4 [10240/46250]	Loss: 0.9364	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.7608	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.8794	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.7409	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.7317	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.7822	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.8723	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.8435	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.9494	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.7946	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.9135	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8411	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.9498	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.7668	LR: 0.100000
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Training Epoch: 4 [15360/46250]	Loss: 0.9241	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.8172	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.9081	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.9498	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.8271	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.8238	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.7683	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.8874	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.8564	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.8113	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.8470	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.7155	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.8236	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.7808	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.7944	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.8005	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.8987	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.8330	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.7935	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.7277	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.9526	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.9202	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.8719	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.7538	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.7630	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.8914	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.7825	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.8262	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.7832	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.9007	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.7955	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.7605	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.9018	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8140	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.7454	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.9687	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.7640	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.7591	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.8124	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.7255	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.7786	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.7499	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.8258	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.7826	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.8301	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.7901	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.7331	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7152	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.8076	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.8051	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.7658	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.7495	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.7378	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 1.0646	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.7788	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.8263	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.8154	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.8264	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.9042	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.7814	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.8120	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.8015	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8064	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.7281	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.7827	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.7448	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.8013	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.7209	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.6794	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.8657	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.7570	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.7938	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.7541	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.6704	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.8456	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.9136	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7320	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.8249	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.5781	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.7271	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.8346	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.7097	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.7703	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.7156	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.6954	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.7256	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.6149	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.8134	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.8256	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.7663	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.6346	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.7769	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.7247	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.8599	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.7340	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.7717	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.7937	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.8253	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.8262	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.8190	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.7973	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.7088	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.7837	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.7039	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.8042	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.8492	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.6811	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.6698	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.8619	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.7471	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.8412	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.7745	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.7820	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.7547	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.8365	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.9236	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.7266	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.8303	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.8851	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.7604	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.8144	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8114, Train Accuracy: 0.7182
Epoch 4 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0043, Accuracy: 0.6672, Time consumed:0.91s
Training Epoch: 5 [256/46250]	Loss: 0.6840	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7286	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.7233	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.7154	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.8333	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.7187	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.7673	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.9370	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.6806	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.6793	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.6661	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.7961	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.6910	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.7425	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.7966	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.6542	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.8110	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.6039	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7860	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.6790	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.6867	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.6197	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.7368	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.7414	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.7331	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.7308	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.7846	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.6612	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.6353	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7447	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7574	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.6349	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.7697	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.7408	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7328	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.7543	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.6651	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7445	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.7562	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.8327	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.7794	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.8491	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.8458	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.6427	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.7159	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.7305	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.6426	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7094	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.7194	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.7710	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.6463	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7545	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.7269	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.7976	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.7248	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.7324	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.7693	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7234	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.6530	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.6475	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7479	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.6729	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.7083	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.7004	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.6132	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.6949	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.5418	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.8501	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7795	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.7043	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.7874	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.8690	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.6741	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.8208	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.8657	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.7818	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.7922	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.8545	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.8007	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.7567	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.7529	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.7630	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.7076	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.6338	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7809	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7189	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7240	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.7313	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.8533	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.6619	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.7438	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.6587	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.7934	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.6536	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.7009	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.7160	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.6614	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.7710	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.7028	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.6107	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.7395	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.6383	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7540	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.6505	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7027	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.6699	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.6537	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.7795	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.5945	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.6594	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.8114	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.6818	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.7042	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.8228	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.7426	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.6361	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.7691	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.6209	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.7906	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.5825	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.7815	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.7069	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.6479	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.7735	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.7915	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.7042	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.6301	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.7479	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.6065	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.7751	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.8473	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.7364	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.6428	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.6343	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.6657	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.7318	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.5853	LR: 0.100000
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Training Epoch: 5 [46250/46250]	Loss: 0.6337	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7210, Train Accuracy: 0.7464
Epoch 5 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7437, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.7185	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6442	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6559, Train Accuracy: 0.7725
Epoch 6 training time consumed: 28.29s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7477, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6397	LR: 0.100000
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Training Epoch: 7 [46080/46250]	Loss: 0.5559	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.5323	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6121, Train Accuracy: 0.7863
Epoch 7 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0030, Accuracy: 0.7522, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5083	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.4003	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3602	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4524, Train Accuracy: 0.8428
Epoch 8 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8540, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4164	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3794	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3937	LR: 0.020000
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Training Epoch: 9 [40448/46250]	Loss: 0.4477	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3423	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4109, Train Accuracy: 0.8562
Epoch 9 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8643, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3575	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.3658	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3672	LR: 0.020000
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Training Epoch: 10 [2048/46250]	Loss: 0.3174	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.4068	LR: 0.020000
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Training Epoch: 10 [25088/46250]	Loss: 0.3403	LR: 0.020000
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Training Epoch: 10 [43520/46250]	Loss: 0.3435	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.4372	LR: 0.020000
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Training Epoch: 10 [45056/46250]	Loss: 0.4253	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.4871	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3938	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3890, Train Accuracy: 0.8642
Epoch 10 training time consumed: 28.32s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8632, Time consumed:0.92s
Training Epoch: 11 [256/46250]	Loss: 0.3796	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.4306	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.4009	LR: 0.020000
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Training Epoch: 11 [45056/46250]	Loss: 0.3372	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.2719	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3709, Train Accuracy: 0.8702
Epoch 11 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8705, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3433	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.2836	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3296	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3770	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3319	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.2497	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3226	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3758	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3421	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3596	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3094	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2907	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3596	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3647	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3117	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.4073	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3515	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3196, Train Accuracy: 0.8879
Epoch 12 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8845, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2702	LR: 0.004000
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Training Epoch: 13 [31744/46250]	Loss: 0.2826	LR: 0.004000
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Training Epoch: 13 [43776/46250]	Loss: 0.3462	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3745	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3351	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3246	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2901	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2597	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3114	LR: 0.004000
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Training Epoch: 13 [45824/46250]	Loss: 0.3739	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3274	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2535	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3050, Train Accuracy: 0.8932
Epoch 13 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8835, Time consumed:0.94s
Training Epoch: 14 [256/46250]	Loss: 0.2957	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3062	LR: 0.004000
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Training Epoch: 14 [44288/46250]	Loss: 0.3649	LR: 0.004000
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Training Epoch: 14 [45056/46250]	Loss: 0.3092	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.3347	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2426	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3006, Train Accuracy: 0.8964
Epoch 14 training time consumed: 28.27s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8878, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.3351	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2404	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2415	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3281	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.3121	LR: 0.004000
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Training Epoch: 15 [44032/46250]	Loss: 0.3121	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.3659	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3594	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2906	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2963, Train Accuracy: 0.8981
Epoch 15 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8895, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2744	LR: 0.000800
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Training Epoch: 16 [38400/46250]	Loss: 0.3349	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.3001	LR: 0.000800
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Training Epoch: 16 [41216/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.3397	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.1993	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2492	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2583	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3363	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2552	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2372	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3671	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2936	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2814, Train Accuracy: 0.9022
Epoch 16 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8915, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2296	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2107	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2328	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3735	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.3106	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2639	LR: 0.000800
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Training Epoch: 17 [11264/46250]	Loss: 0.2040	LR: 0.000800
Training Epoch: 17 [11520/46250]	Loss: 0.2831	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.2551	LR: 0.000800
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Training Epoch: 17 [42240/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.3471	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2109	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3271	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2688	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2602	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2046	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.2081	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2864	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3115	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2777, Train Accuracy: 0.9042
Epoch 17 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8917, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2258	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2886	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2285	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2290	LR: 0.000800
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Training Epoch: 18 [2560/46250]	Loss: 0.2425	LR: 0.000800
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Training Epoch: 18 [4608/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.2540	LR: 0.000800
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Training Epoch: 18 [17664/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.3067	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2750	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.2069	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.3327	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.2174	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.2317	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.3095	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2911	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.2925	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.3325	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.3184	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.3592	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.3163	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2603	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3463	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.2287	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.3338	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.3418	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.2194	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2175	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.3194	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.4305	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3249	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.3154	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3587	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.3399	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2479	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.2575	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.3905	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.3198	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.3510	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.1987	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.2277	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2253	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3466	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2075	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2396	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2541	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2518	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2873	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2579	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2611	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2761, Train Accuracy: 0.9049
Epoch 18 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:1.11s
Training Epoch: 19 [256/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2727	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2286	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2011	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2266	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3457	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2509	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3902	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3429	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2222	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.3623	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.3338	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.3866	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.4233	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.3627	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.3730	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.3540	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2166	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2090	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2293	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.3269	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.3222	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2198	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.2287	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2167	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2490	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2159	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2137	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2927	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2326	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.3567	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.3271	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.3417	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2364	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.2110	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2161	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2094	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.1978	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3034	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.3212	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.3753	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.3199	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.3037	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.2285	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.2348	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3026	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2125	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2428	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2333	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.3778	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.3220	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2103	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2018	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.2177	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2330	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2594	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.1848	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3216	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2139	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2763, Train Accuracy: 0.9037
Epoch 19 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8924, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_22h_27m_51s/ResNet18-Cifar10-seed10-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2606	LR: 0.000800
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Training Epoch: 20 [45824/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3368	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2732, Train Accuracy: 0.9033
Epoch 20 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.90s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.091796875
Retain Accuracy: 90.88587951660156
Zero-Retain Forget (ZRF): 0.8330597877502441
Membership Inference Attack (MIA): 0.6117333333333334
Forget vs Retain Membership Inference Attack (MIA): 0.49933333333333335
Forget vs Test Membership Inference Attack (MIA): 0.548
Test vs Retain Membership Inference Attack (MIA): 0.50375
Train vs Test Membership Inference Attack (MIA): 0.5195
Forget Set Accuracy (Df): 87.38484954833984
Method Execution Time: 1522.72 seconds
