hello
hello

📌 Retain class distribution for seed 9:
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 9:
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: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.5600	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4736	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.5204	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.4924	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3463	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2628	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2863	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2600	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2474	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.3281	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.3501	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2977	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1664	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.2218	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0519	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0173	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0151	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0678	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1079	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0800	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9523	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.9253	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9013	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8855	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.7923	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8981	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.8008	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7840	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8755	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9126	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8047	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8922	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7664	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7642	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7625	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8523	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8328	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8508	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8364	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7377	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.9186	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7541	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8536	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8084	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7077	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7158	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8592	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.8920	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8166	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7759	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7447	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6787	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6375	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6593	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6347	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6237	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7057	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6927	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7329	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.8003	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.8068	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6915	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6856	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.8558	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.8086	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.5804	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.8711	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6506	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6735	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7538	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6546	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7566	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6457	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7797	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6058	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.8177	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.5660	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7998	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6383	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5818	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6573	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7142	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6333	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7287	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5310	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.5982	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.7643	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5524	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5512	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6736	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5817	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6458	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6412	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5209	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.8736	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.7618	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6042	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.7783	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5261	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5701	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6058	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6219	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5699	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.7095	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5923	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.7489	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.7931	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6675	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.6093	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6404	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5646	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5938	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5857	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.6045	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.7455	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.6524	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4624	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.6890	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5078	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5561	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.7008	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.8129	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.6485	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5306	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5950	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.7048	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5291	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4919	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4830	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5004	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5326	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.8486	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.6699	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.8024	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5714	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.8056	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4685	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5780	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.6657	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5537	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5692	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.7085	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5826	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3868	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.6036	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.6923	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4870	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5545	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5746	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.6230	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.6635	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4055	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5437	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3888	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5452	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.6758	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.6004	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4628	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5021	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.5166	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4358	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.6165	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.6100	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.6281	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.5084	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.5951	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.6553	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4438	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4476	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.7759	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.7710	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5967	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3925	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.6931	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.5655	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3369	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.5292	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3919	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.6052	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3310	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.5168	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.4496	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.2804	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4211	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3681	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.2438	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2786	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4709	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.3734	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2636	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3139	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7087, Train Accuracy: 0.3764
Epoch 1 training time consumed: 30.04s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0064, Accuracy: 0.4681, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4891	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.3781	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.4400	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3290	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4874	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.4181	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3669	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3217	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.5797	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3256	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4692	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.2027	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3701	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3202	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.4008	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3844	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.2879	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.2485	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.1690	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3356	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.2815	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.5098	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.4330	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2144	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3198	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2241	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3822	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2809	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.4203	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4182	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2792	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2861	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3576	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3673	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2473	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2938	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3480	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3074	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2803	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2593	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2934	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2302	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2841	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.3470	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3559	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.3032	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2410	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2852	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2799	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2094	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3396	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2777	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2130	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2036	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1448	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.4912	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.1325	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3615	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.4033	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.0338	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2345	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3108	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.3067	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.1718	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.5319	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.3659	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.4513	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2806	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2026	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2345	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3053	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2003	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.3044	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3917	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1892	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1445	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2313	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2548	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.0568	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2573	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.4102	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2926	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9117	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.1767	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2008, Train Accuracy: 0.5694
Epoch 2 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0047, Accuracy: 0.5891, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.1215	LR: 0.100000
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Training Epoch: 3 [47872/48750]	Loss: 0.8297	LR: 0.100000
Training Epoch: 3 [48128/48750]	Loss: 0.6741	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.7311	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9412	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.7852	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9222, Train Accuracy: 0.6722
Epoch 3 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0035, Accuracy: 0.7064, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.6910	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.6131	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7892, Train Accuracy: 0.7250
Epoch 4 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.7593, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6981	LR: 0.100000
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Training Epoch: 5 [24832/48750]	Loss: 0.5986	LR: 0.100000
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Training Epoch: 5 [45056/48750]	Loss: 0.6451	LR: 0.100000
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Training Epoch: 5 [46336/48750]	Loss: 0.6411	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.7067	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.7358	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.6967	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.7107	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.5793	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.7401	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.6295	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.6385	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.7599	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.6769	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6980, Train Accuracy: 0.7565
Epoch 5 training time consumed: 29.22s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7585, Time consumed:0.97s
Training Epoch: 6 [256/48750]	Loss: 0.6305	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.6650	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.5609	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.6525	LR: 0.100000
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Training Epoch: 6 [1536/48750]	Loss: 0.6798	LR: 0.100000
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Training Epoch: 6 [45056/48750]	Loss: 0.5738	LR: 0.100000
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Training Epoch: 6 [46336/48750]	Loss: 0.5484	LR: 0.100000
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Training Epoch: 6 [47104/48750]	Loss: 0.6484	LR: 0.100000
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Training Epoch: 6 [47872/48750]	Loss: 0.7314	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.5217	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.6244	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.7038	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6315, Train Accuracy: 0.7788
Epoch 6 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7769, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6181	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.7582	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.6177	LR: 0.100000
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Training Epoch: 7 [2048/48750]	Loss: 0.6822	LR: 0.100000
Training Epoch: 7 [2304/48750]	Loss: 0.6400	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.7382	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.6429	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5671	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.5878	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.6454	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5572	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.7260	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.5106	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.6692	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6378	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.4667	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6031	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5956	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5620	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.5252	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5200	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6106	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6178	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6836	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.5889	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6112	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.4831	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.5833	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.5172	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6454	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.6366	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5201	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5759	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6173	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.5981	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5741	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.6318	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.6049	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.5466	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.5624	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5780	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.6716	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.5196	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.5819	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5945	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6894	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6725	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5416	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.5337	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.5473	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.6296	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6471	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.6381	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6296	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.6644	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6163	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5732	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5207	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.5579	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5723	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5579	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.4863	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.5948	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.7607	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.4749	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.4776	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6803	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5600	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.5843	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.5269	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6281	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.6133	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6645	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.6594	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.4979	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.5999	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5147	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.6423	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5787	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6389	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.5941	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6570	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.5884	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.4916	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.5782	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6819	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6128	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5975	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5788	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5944	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.5950	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.5655	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5310	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.7501	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.6434	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6287	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6352	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5642	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.7196	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.7212	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.6163	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.7875	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.6378	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.5550	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.6013	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6400	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.5945	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5353	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.5748	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5619	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5171	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.4642	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.7250	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.4983	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6146	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.6708	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.6499	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6715	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5007	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5122	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6326	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.6162	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.5264	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6105	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5515	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.5190	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5212	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.5608	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.5669	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.4580	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5647	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.4680	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5569	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.6248	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.6436	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.5535	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6800	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.6196	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.4870	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6473	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6303	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5073	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.5931	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6811	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6359	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.6433	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5366	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.7194	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.7559	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.7265	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.6060	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5441	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5405	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.6309	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.5387	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.4890	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6411	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6025	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.6155	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5813	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.5589	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.6382	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5219	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6822	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.5810	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.4878	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5615	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6206	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5260	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.5681	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6423	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.4786	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5133	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.5356	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.3946	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5944, Train Accuracy: 0.7935
Epoch 7 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0029, Accuracy: 0.7614, Time consumed:0.92s
Training Epoch: 8 [256/48750]	Loss: 0.6126	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.6219	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.5288	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5985	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5576	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.5232	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5476	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.6335	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.4970	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.4833	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4798	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.6314	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5377	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5764	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5262	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4194	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4246	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4503	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.5118	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5464	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4763	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.4657	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.5040	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.4906	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4327	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4609	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.5448	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.4037	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5130	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.4162	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.4093	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4076	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.5287	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4969	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.5950	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4083	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.3807	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4924	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4755	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4523	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4139	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.5175	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.3396	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4574	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4390	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4704	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4398	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4807	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4464	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.3948	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.5228	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.5274	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4495	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4606	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4407	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4439	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4151	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.3311	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.3938	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4041	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4607	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4718	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.3906	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.5047	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4548	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4331	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4613	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4703	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.5006	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.3670	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.3800	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4795	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4412	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4317	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.5081	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.3860	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.5032	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4076	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4381	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4586	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.5646	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4063	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.5256	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3482	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4761	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4440	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.5303	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4224	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4332	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4305	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4033	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.3545	LR: 0.020000
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Training Epoch: 8 [43776/48750]	Loss: 0.3192	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4747	LR: 0.020000
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Training Epoch: 8 [45568/48750]	Loss: 0.3728	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.3850	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4310	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4074	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4425	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3524	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4019	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4475	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3929	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4913	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4392, Train Accuracy: 0.8492
Epoch 8 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8599, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3022	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4290	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4518	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3636	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3378	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3351	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4404	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4408	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3168	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3392	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4599	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.3935	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.3105	LR: 0.020000
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Training Epoch: 9 [4608/48750]	Loss: 0.3381	LR: 0.020000
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Training Epoch: 9 [33024/48750]	Loss: 0.3787	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3787	LR: 0.020000
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Training Epoch: 9 [45824/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3581	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3029	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4117	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4595	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3539	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4280	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4774	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3192	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3750	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.4164	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3933, Train Accuracy: 0.8627
Epoch 9 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8654, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3844	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4214	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4062	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3350	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3660	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4108	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3590	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3270	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4111	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3065	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3353	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.3923	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.2652	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.3837	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4036	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3344	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4253	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3449	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3187	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.3192	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3690	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3400	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3881	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.2904	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4424	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.3861	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3059	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3016	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3663	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.2697	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3302	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3166	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.3960	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3782	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.3916	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3406	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4437	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.3152	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3159	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.2902	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3504	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3508	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3517	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4703	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3437	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3800	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.2839	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3894	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3852	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.5051	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3460	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3936	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.4436	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.4452	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3721	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4019	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.3275	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3246	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4219	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4427	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3873	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4062	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3363	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4056	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.4094	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3504	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.2810	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.3249	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3994	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.2780	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3625	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3799	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.3095	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.3101	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4231	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3246	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3945	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3960	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3899	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.3902	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.4620	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3643	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.3225	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3048	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.2847	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.4794	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.3035	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3833	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4605	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3403	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.3010	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3591	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3645	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.3994	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.4394	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.3977	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3479	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.3021	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3621	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3856	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.4973	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3906	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3459	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3757	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3597	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.4246	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3427	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.4133	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.4787	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3733	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4018	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3173	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4448	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4021	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.4544	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.5192	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3028	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.2490	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.4344	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3695	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3431	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4429	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4231	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3324	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.4207	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3311	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3470	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.3206	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4114	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3822	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.2631	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.4038	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3882	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.2610	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3187	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3784	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4620	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3507	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3271	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.2605	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3431	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.2962	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3728, Train Accuracy: 0.8701
Epoch 10 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8654, Time consumed:0.90s
Training Epoch: 11 [256/48750]	Loss: 0.3079	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3242	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.2926	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3693	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3049	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3023	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.2802	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3649	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3525	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3215	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3179	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3586	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.4002	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3930	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3350	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3518	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3162	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.4580	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.3105	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3271	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.2913	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3626	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3641	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3561	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.2865	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3037	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3191	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3473	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.4488	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.3135	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.2851	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3141	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3534	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3126	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.2817	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3744	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3475	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3928	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.4022	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.2601	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3863	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3290	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3010	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3838	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3430	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.2556	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.3302	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3201	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3430	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.3706	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3531	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.4262	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3432	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.3128	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4074	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3063	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3039	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4200	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.3454	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3272	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3590	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.2585	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3384	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3776	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3129	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3710	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.3709	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3623	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3691	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3254	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3200	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3040	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3829	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.2651	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3499	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3586	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3503	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4835	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3130	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3452	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.2646	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3378	LR: 0.020000
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Training Epoch: 11 [29696/48750]	Loss: 0.3046	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.3753	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.4576	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3368	LR: 0.020000
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Training Epoch: 11 [30976/48750]	Loss: 0.3968	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.2678	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4313	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4217	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3388	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3475	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3641	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.3728	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3329	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3936	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3509	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3983	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3250	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3371	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3171	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.2951	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4033	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4590	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3245	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3198	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.2776	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.2956	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3227	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3484	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3670	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.2800	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3475	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3554, Train Accuracy: 0.8770
Epoch 11 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8736, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3753	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3180	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.2773	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3884	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3366	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.2941	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2914	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3507	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3321	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.2994	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2777	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3434	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3806	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3186	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3528	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3123	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.4108	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3381	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.2927	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.3031	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3275	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.3325	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.3281	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.2730	LR: 0.004000
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Training Epoch: 12 [12288/48750]	Loss: 0.2990	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.3214	LR: 0.004000
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Training Epoch: 12 [15104/48750]	Loss: 0.3675	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.2704	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3083	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3856	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3310	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.2950	LR: 0.004000
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Training Epoch: 12 [25856/48750]	Loss: 0.3103	LR: 0.004000
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Training Epoch: 12 [26368/48750]	Loss: 0.3488	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3508	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.2811	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3224	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3110	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.2733	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.2897	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.2533	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.3214	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.2768	LR: 0.004000
Training Epoch: 12 [31488/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 12 [31744/48750]	Loss: 0.2885	LR: 0.004000
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Training Epoch: 12 [32256/48750]	Loss: 0.2703	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.3742	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [33024/48750]	Loss: 0.3010	LR: 0.004000
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Training Epoch: 12 [33536/48750]	Loss: 0.2504	LR: 0.004000
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Training Epoch: 12 [35328/48750]	Loss: 0.3510	LR: 0.004000
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Training Epoch: 12 [35840/48750]	Loss: 0.3433	LR: 0.004000
Training Epoch: 12 [36096/48750]	Loss: 0.2597	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.3416	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.2524	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.3529	LR: 0.004000
Training Epoch: 12 [37120/48750]	Loss: 0.3310	LR: 0.004000
Training Epoch: 12 [37376/48750]	Loss: 0.2848	LR: 0.004000
Training Epoch: 12 [37632/48750]	Loss: 0.3370	LR: 0.004000
Training Epoch: 12 [37888/48750]	Loss: 0.3189	LR: 0.004000
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Training Epoch: 12 [38400/48750]	Loss: 0.2607	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.3328	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.2589	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.2951	LR: 0.004000
Training Epoch: 12 [40704/48750]	Loss: 0.3223	LR: 0.004000
Training Epoch: 12 [40960/48750]	Loss: 0.3295	LR: 0.004000
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Training Epoch: 12 [43264/48750]	Loss: 0.4240	LR: 0.004000
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Training Epoch: 12 [44288/48750]	Loss: 0.3908	LR: 0.004000
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Training Epoch: 12 [44800/48750]	Loss: 0.2914	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3332	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3467	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3412	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2533	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3565	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.2432	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2491	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3600	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.2470	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3045	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3434	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.2508	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3779	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3931	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3118, Train Accuracy: 0.8928
Epoch 12 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8828, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2800	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3497	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3443	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3191	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3114	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2207	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3004	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2753	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.2898	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2491	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2767	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3836	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3629	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2958, Train Accuracy: 0.8956
Epoch 13 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8865, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2385	LR: 0.004000
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Training Epoch: 14 [2048/48750]	Loss: 0.2622	LR: 0.004000
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Training Epoch: 14 [26112/48750]	Loss: 0.2669	LR: 0.004000
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Training Epoch: 14 [32512/48750]	Loss: 0.2203	LR: 0.004000
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Training Epoch: 14 [44032/48750]	Loss: 0.3439	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.2829	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3145	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3410	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.1952	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3234	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2229	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2935	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2274	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3367	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3317	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3285	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2652	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2652	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3614	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3325	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2478	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2875, Train Accuracy: 0.9006
Epoch 14 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8880, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3826	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2206	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2242	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2943	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2276	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.3317	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2453	LR: 0.004000
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Training Epoch: 15 [26368/48750]	Loss: 0.2020	LR: 0.004000
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Training Epoch: 15 [31232/48750]	Loss: 0.3287	LR: 0.004000
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Training Epoch: 15 [43520/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 15 [43776/48750]	Loss: 0.3486	LR: 0.004000
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Training Epoch: 15 [45312/48750]	Loss: 0.2484	LR: 0.004000
Training Epoch: 15 [45568/48750]	Loss: 0.3276	LR: 0.004000
Training Epoch: 15 [45824/48750]	Loss: 0.2332	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.2961	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2874	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2570	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2336	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2323	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3312	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2321	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3294	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3368	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2898	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2642	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.1997	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2814, Train Accuracy: 0.9030
Epoch 15 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8879, Time consumed:0.93s
Training Epoch: 16 [256/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.3542	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2095	LR: 0.000800
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Training Epoch: 16 [16128/48750]	Loss: 0.2661	LR: 0.000800
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Training Epoch: 16 [16640/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.3152	LR: 0.000800
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Training Epoch: 16 [20736/48750]	Loss: 0.3046	LR: 0.000800
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Training Epoch: 16 [22016/48750]	Loss: 0.3405	LR: 0.000800
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Training Epoch: 16 [46080/48750]	Loss: 0.3499	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2148	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2108	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2712, Train Accuracy: 0.9068
Epoch 16 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8893, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2060	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.1899	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2188	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3593	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2053	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.3423	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3583	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2384	LR: 0.000800
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Training Epoch: 17 [6912/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3090	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.3595	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2475	LR: 0.000800
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Training Epoch: 17 [9984/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2069	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.1624	LR: 0.000800
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Training Epoch: 17 [11520/48750]	Loss: 0.2395	LR: 0.000800
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Training Epoch: 17 [12288/48750]	Loss: 0.2662	LR: 0.000800
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Training Epoch: 17 [12800/48750]	Loss: 0.2301	LR: 0.000800
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Training Epoch: 17 [20224/48750]	Loss: 0.2695	LR: 0.000800
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Training Epoch: 17 [22016/48750]	Loss: 0.2935	LR: 0.000800
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Training Epoch: 17 [24576/48750]	Loss: 0.3240	LR: 0.000800
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Training Epoch: 17 [25088/48750]	Loss: 0.2993	LR: 0.000800
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Training Epoch: 17 [26368/48750]	Loss: 0.3328	LR: 0.000800
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Training Epoch: 17 [32256/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2419	LR: 0.000800
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Training Epoch: 17 [37376/48750]	Loss: 0.2672	LR: 0.000800
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Training Epoch: 17 [41472/48750]	Loss: 0.2743	LR: 0.000800
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Training Epoch: 17 [43264/48750]	Loss: 0.1964	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2144	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3641	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.3570	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3081	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2680, Train Accuracy: 0.9059
Epoch 17 training time consumed: 29.03s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8908, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.3352	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2450	LR: 0.000800
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Training Epoch: 18 [1280/48750]	Loss: 0.1926	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.1952	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2937	LR: 0.000800
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Training Epoch: 18 [11264/48750]	Loss: 0.2921	LR: 0.000800
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Training Epoch: 18 [12288/48750]	Loss: 0.3212	LR: 0.000800
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Training Epoch: 18 [16128/48750]	Loss: 0.2880	LR: 0.000800
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Training Epoch: 18 [25344/48750]	Loss: 0.2617	LR: 0.000800
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Training Epoch: 18 [25856/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.1963	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.3265	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3554	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2785	LR: 0.000800
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Training Epoch: 18 [29440/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2137	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2737	LR: 0.000800
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Training Epoch: 18 [32256/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2824	LR: 0.000800
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Training Epoch: 18 [33024/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2069	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3261	LR: 0.000800
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Training Epoch: 18 [35584/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.1828	LR: 0.000800
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Training Epoch: 18 [37632/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2030	LR: 0.000800
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Training Epoch: 18 [38400/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2219	LR: 0.000800
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Training Epoch: 18 [39680/48750]	Loss: 0.3310	LR: 0.000800
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Training Epoch: 18 [40192/48750]	Loss: 0.1850	LR: 0.000800
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Training Epoch: 18 [42240/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.3634	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2149	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2133	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3220	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2521	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2665, Train Accuracy: 0.9072
Epoch 18 training time consumed: 29.57s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8920, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_51m_37s/ResNet18-Cifar10-seed9-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.1743	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3756	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2116	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2092	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2172	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.3360	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2108	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2056	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.1891	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.3892	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2132	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2238	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3654	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2329	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2155	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.1809	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.1966	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2064	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3246	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.1966	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2174	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3542	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2264	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2014	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2314	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2412	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2190	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3831	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3170	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3404	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2062	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.1932	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2144	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2205	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2047	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2647	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2642, Train Accuracy: 0.9071
Epoch 19 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:1.00s
Training Epoch: 20 [256/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.3708	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2130	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2092	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3883	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.1803	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2387	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.3481	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3421	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2159	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.3654	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.1910	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2097	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.1819	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.3335	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2190	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.1835	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2179	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2089	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3241	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2255	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2148	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.1973	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.3538	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2155	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2201	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.1998	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.1827	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.1900	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.1807	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2032	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2113	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2109	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.3873	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.3358	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.1984	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.1801	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.1928	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.1743	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2933	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2661, Train Accuracy: 0.9082
Epoch 20 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.90s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.1796875
Retain Accuracy: 91.39002990722656
Zero-Retain Forget (ZRF): 0.8327292799949646
Membership Inference Attack (MIA): 0.6264
Forget vs Retain Membership Inference Attack (MIA): 0.542
Forget vs Test Membership Inference Attack (MIA): 0.544
Test vs Retain Membership Inference Attack (MIA): 0.50725
Train vs Test Membership Inference Attack (MIA): 0.519
Forget Set Accuracy (Df): 88.37043762207031
Method Execution Time: 1541.46 seconds
